TMS · For Clinicians

Transcranial magnetic stimulation: a working reference for referring clinicians

This page is written for clinicians — psychiatrists, primary care, psychology, and trainees — who want a clear, evidence-grounded view of modern TMS practice. It covers protocols, targeting, indication-level evidence, contraindications, and practical referral tools.

Overview

TMS is a non-invasive cortical stimulation technique with clear FDA indications, real-world response and remission data, and a rapidly evolving protocol landscape. The useful questions for a referring clinician are usually practical: what protocols are available, what the evidence is for a given indication, and what the contraindications look like.

How it works, briefly. A coil placed on the scalp generates a rapidly changing magnetic field that induces a focal electrical current in the underlying cortex. Repeated pulses modulate excitability in targeted circuits — classically, depression protocols engage the left dorsolateral prefrontal cortex (L-DLPFC) and connected networks including the subgenual anterior cingulate (sgACC).

The clinical effect is not produced by a single pulse but by the cumulative effect of thousands of pulses across a treatment course. Mechanism remains an area of active research (Weigand 2018; Furtado 2013; Peters 2016; McTeague 2017).

How we got here

TMS moved from a laboratory curiosity to an FDA-cleared treatment inside a single professional lifetime. Each major leap came from a circuit-level insight about brain networks — not from a chemistry insight. That pattern continues to shape where the field is going.

  • 1985Barker
    Anthony Barker and colleagues at the University of Sheffield demonstrate the first TMS-evoked motor response in humans. A magnetic pulse over motor cortex produces a contralateral hand twitch — non-invasive, painless, and reproducible. The essential ingredients for clinical translation are in place.
  • 1990sDrevets, George
    PET imaging reveals metabolic abnormalities in the subgenual anterior cingulate cortex (Brodmann area 25) in depression. At the NIH and later at MUSC, Mark George conducts the first human trials targeting left prefrontal cortex with TMS for depression — pointing to a circuit-based framework rather than a neurotransmitter-based one.
  • 2005Mayberg
    Helen Mayberg's work reconceptualizes depression as dysfunction of a distributed network, with sgACC as a pathologic hub. Deep brain stimulation of sgACC produces sustained remission in some patients with otherwise-intractable depression (Mayberg 2005). The network framing redirects attention from “chemical imbalance” toward circuit dysfunction.
  • 2007–2010OPT-TMS, FDA
    O'Reardon 2007 and George 2010 (OPT-TMS) establish TMS efficacy in pivotal sham-controlled trials. The FDA clears TMS for MDD in adults in October 2008 (NeuroStar). TMS enters clinical practice as an FDA-cleared treatment for treatment-resistant depression.
  • 2012Fox
    Michael Fox and colleagues demonstrate that TMS efficacy tracks the degree of functional anticorrelation between the DLPFC stimulation site and the sgACC (Fox 2012). This is the conceptual foundation for fMRI-guided personalized targeting — different individuals have the right target in different cortical locations.
  • 2018Blumberger
    The THREE-D randomized non-inferiority trial (n=414) shows that intermittent theta burst stimulation (iTBS, ~3 minutes) is non-inferior to standard 10 Hz rTMS (~37 minutes) in treatment-resistant depression (Blumberger 2018, Lancet). Shorter sessions dramatically expand clinic throughput without compromising outcomes.
  • 2022Cole
    Stanford Neuromodulation Therapy (SAINT/SNT) combines accelerated iTBS with fMRI-guided individualized targeting and shows ~79% remission in a randomized sham-controlled trial (Cole 2022). FDA-cleared under K213481. Notably, SAINT's lead investigators (Williams and Bentzley) trained at MUSC under Mark George and Baron Short — continuing a regional research lineage.
  • 2024–2025Adolescent clearances
    NeuroStar (March 2024), MagVenture (August 2025), and BrainsWay (November 2025) each receive FDA clearance for adolescent MDD in the 15–21 age range — the first major expansion of TMS indications in a vulnerable population that has few well-tolerated alternatives.

Protocols

Protocols differ in frequency, burst pattern, laterality, session duration, and therapeutic intent. Most share the same underlying logic; they differ in how stimulation is packaged and delivered.

Conventional rTMS

High-frequency rTMS

Typically 10 Hz to left DLPFC. Generally excitatory. Standard course: ~36 sessions over 6–9 weeks. Original FDA-cleared approach for MDD (2008).

Conventional rTMS

Low-frequency rTMS

Typically 1 Hz to right DLPFC. Generally inhibitory. Used as an alternative or sequential approach, sometimes better tolerated in patients with anxiety features.

Theta burst

iTBS

Intermittent theta burst stimulation compresses a session to roughly three minutes while maintaining comparable outcomes to 10 Hz rTMS in head-to-head work. Now a workhorse protocol for depression (Bulteau 2022).

Theta burst

cTBS

Continuous theta burst. Generally inhibitory. Used in specific circuit-level strategies rather than as a first-line depression protocol.

Deep TMS

dTMS (H-coil)

H-coil geometry produces a broader, somewhat deeper field than figure-8 coils. FDA-cleared for MDD, OCD, smoking cessation, and MDD with anxious distress. Not simply “stronger” — a different stimulation profile (Deng 2016; Filipcic 2019).

Accelerated

Accelerated TMS

Multiple sessions per day, course compressed into days rather than weeks. Reduces time-to-response and logistical burden; outcomes generally comparable to standard courses (Caulfield 2022).

Accelerated · targeted

SAINT / SNT

Stanford Neuromodulation Therapy: accelerated iTBS guided by individualized fMRI-based targeting of the L-DLPFC region most anticorrelated with sgACC. 5-day protocol; high remission rates in trial populations (Cole 2020, 2022). FDA K213481.

Accelerated · newer

SWIFT, ONE-D

Emerging accelerated protocols with published short-course data. See Cutting edge for outcomes and status.

Coil types

Coil geometry determines the field's focality and depth — two properties that trade off against each other. A more focal coil targets cortex precisely but doesn't reach deep structures; a less focal coil reaches deeper but stimulates a larger volume. No single coil is “better” — each is a deliberate choice in that tradeoff (Deng 2016).

Figure-8 coil

focal · ~2–3 cm depth

Two circular windings with opposing currents. Field peaks where they meet, producing a small, focused stimulation zone. Standard for MDD protocols targeting L-DLPFC. Used by NeuroStar, MagVenture, Magstim figure-8 systems.

H-coil

broad · ~4–6 cm depth

Complex 3D coil geometry inside a helmet. Fields summate across a broader, deeper volume. Trades focality for depth — stimulates connected networks rather than a single cortical spot. Used by BrainsWay dTMS for MDD, OCD, smoking cessation, MDD-anxious.

Double-cone coil

midline · ~3–4 cm depth

Two angled windings meeting at the apex. The bent geometry directs the field downward and toward the midline, reaching medial and deeper cortical structures. Used for targets like the anterior cingulate or bilateral motor areas.

Depth–focality tradeoff. Deng 2016 quantified this across 50 coil designs: every design lies somewhere on a depth–focality curve, and no coil simultaneously optimizes both. Figure-8 wins on focality; H-coils win on depth and breadth; double-cone lands between them. The right coil depends on the target and the clinical question — not a universal “best.”

The rhythms, visualized

Protocol names proliferate; the underlying differences are mostly about how stimulation is packaged in time. The figures below show a few seconds of each protocol’s pulse structure at a consistent scale. They are schematic, not to clinical scale, but make the differences between protocols immediately visible.

High-frequency rTMS · 10 Hz

~3,000 pulses · 17–54 min session

Left DLPFC, excitatory. Typical session: 75 trains × 40 pulses = 3,000 pulses, with ~26 s between trains.

Low-frequency rTMS · 1 Hz

~900–1,200 pulses · 15–20 min session

Right DLPFC, inhibitory. Delivered continuously without train/interval structure — one pulse per second for the session duration.

iTBS · intermittent theta burst

600 pulses · ~3.5 min session

Patterned to mimic endogenous theta. Each “on” window is 2 s of triplet bursts (3 pulses at 50 Hz, repeating at 5 Hz = 30 pulses), followed by 8 s off. Bulteau 2022 showed comparable outcomes to 10 Hz rTMS.

cTBS · continuous theta burst

600 pulses · ~40 s session

Inhibitory counterpart to iTBS. Same triplet structure, but no 8-second off period — delivered continuously. Used for circuit-specific strategies rather than first-line depression.

Accelerated schedule: SAINT

5-day SAINT/SNT session layout · 90,000 pulses total

Four protocols, one principle

The proliferation of names can obscure what’s actually varying. Across rTMS, iTBS, dTMS, and accelerated protocols, the underlying logic is the same: repeated, targeted stimulation of a cortical node in a dysfunctional network, summed over a course, to produce downstream circuit-level change. What changes between protocols is dose packaging — pulse shape, burst structure, session length, coil geometry, and schedule.

Typical course and taper

A standard clinical course of conventional rTMS or iTBS runs 5 days per week for 6 weeks (30 sessions), followed by a 6-session taper spread over the following 3 weeks for a total of 36 sessions. The bulk of the treatment burden is in the first 6 weeks; the taper is designed to support consolidation of response. Accelerated protocols compress this entire course into 5 days.

Quick check

A patient asks why their iTBS session is only 3 minutes but their friend's rTMS sessions are 37 minutes. What's the best explanation?

Devices

FDA has cleared multiple manufacturers' TMS systems for depression, with newer indications added over time. Devices differ in coil design, session length options, navigation capability, and business model. None is categorically “best” — the right choice depends on the protocols you plan to run and the indications you want to treat.

Some common TMS devices

Device Coil FDA clearances Protocols Notes
NeuroStar
Neuronetics (US)
Figure-8
(iron ferromagnetic)
MDD, OCD, MDD with anxious distress, adolescent MDD (15–21) Standard rTMS
Accelerated protocols
Market leader, ~60% US share. Pay-per-use business model (~$60–100/session). Contact-sensing strip (not full neuronavigation). Largest installed base; strong training support.
BrainsWay
(Israel)
H-coil (Hesed)
H1 / H4 / H7 variants
MDD, OCD, MDD with anxious distress, smoking cessation, late-life depression Deep TMS (dTMS)
iTBS
H-coil reaches deeper cortical targets (~4–6 cm) at the cost of focality. Three business models: purchase ($220K), 48-month lease ($5K/mo), or risk-share. Not compatible with neuronavigation.
MagVenture
(Denmark)
Figure-8
(Cool-B65, liquid-cooled)
D-B80 for OCD
MDD, MDD with anxious distress, OCD, adolescent MDD (15–21) Standard rTMS (37 min)
Express iTBS (3 min)
19-min protocol
First to FDA clearance for iTBS (2018). Liquid-cooled coil, high session throughput. Built-in neuronavigation (Atlas) available. Strong research footprint; used in THREE-D trial (Blumberger 2018).
Magstim
(UK)
Figure-8 MDD, adolescent MDD (15–21) Standard rTMS
iTBS (3 min)
19-min protocol
One of the original TMS pioneers. Horizon system with StimGuide 3D navigation (not MRI-based). Generally one of the more cost-accessible clinical systems.

Specialized / newer platforms

A handful of systems occupy specific niches beyond these:

  • Magnus Medical (SAINT/SNT) — licenses the SAINT protocol and uses MagVenture hardware combined with Soterix/Brain Science Tools neuronavigation. Monopoly position on FDA-cleared accelerated fMRI-guided iTBS. Costs are substantially higher than conventional TMS; typically not covered by insurance.
  • Nexstim NBT — Finnish system originally designed for pre-surgical mapping, with SmartFocus MRI-based neuronavigation. FDA-cleared for MDD.
  • Apollo (MAG & More) — German system using the HANS head-and-neck positioning approach. FDA-cleared for MDD.
  • Soterix / Neurosoft — US-bundled system that pairs the Neurosoft stimulator with Soterix's own neuronavigation that does not require line-of-sight.

Choosing a device: what actually matters

Indication breadth

OCD clearance has broadened: BrainsWay (2018), MagVenture (2020), and NeuroStar (2022) are all FDA-cleared for OCD. For MDD-only programs, any of the common platforms will work. For adolescent MDD (15–21), NeuroStar, MagVenture, Magstim, and BrainsWay are all cleared as of 2024–25.

Session throughput

If clinic capacity is the bottleneck, iTBS (~3 minutes) dramatically expands throughput compared to standard 37-min rTMS. All of the common platforms now offer iTBS; MagVenture and Magstim were earliest to clearance.

Business model

Pay-per-use (NeuroStar) means lower upfront cost but ongoing per-session fees. Outright purchase (BrainsWay, MagVenture, Magstim) front-loads cost but removes per-session fees. The math depends on projected volume — high-volume programs generally favor purchase.

Targeting

H-coils are not compatible with neuronavigation (the broad field makes it irrelevant). Figure-8 systems can layer on neuronavigation if you want to move beyond Beam F3 — useful if you plan to pursue fMRI-guided work.

On head-to-head data. Direct device comparisons are rare. Oliveira-Maia 2016 found no significant efficacy difference between Magstim and NeuroStar in treatment-resistant MDD. A 2019 retrospective review (Awakenings KC) found shorter mean time to remission on MagVenture vs. NeuroStar, but the study was non-randomized with significant baseline differences. Realistically, device choice is dominated by indication coverage, protocol availability, and workflow fit — not efficacy differences between figure-8 systems.

Disclosure

The Prisma Health Neuromodulation Program (Brownell Center, Greenville, SC) currently uses NeuroStar, with Magstim and BrainsWay platforms being added. This expansion broadens the protocol options available locally — notably adding BrainsWay's H-coil deep TMS and Magstim's additional protocol options. This page is independent of any manufacturer and is not endorsed by or affiliated with any TMS device company.

Targeting

Where the coil goes matters. Depression outcomes have been shown to vary meaningfully with targeting precision, and targeting has been one of the most active areas of TMS development in the past decade.

Motor threshold (MT)

Stimulation intensity is individualized to each patient's resting motor threshold — the minimum intensity over M1 that reliably produces a contralateral hand muscle response. Treatment doses (commonly 100–120% MT for prefrontal protocols) are scaled from that reference.

Targeting methods, from simplest to most precise

Method How it works Notes
5.5 cm rule Move anteriorly 5.5 cm from the motor hotspot along a parasagittal line. Fast. Doesn’t account for head size or individual anatomy; misses DLPFC in a substantial fraction of patients.
Beam F3 Uses head measurements (nasion–inion, tragus–tragus, circumference) to approximate the EEG F3 position. Clear improvement over 5.5 cm. Practical in most clinics; now widely used.
10–20 EEG Places the coil at F3 using standard EEG landmarks. Comparable to Beam in practice. Requires trained placement.
Anatomic MRI neuronavigation Uses the patient’s structural MRI to target a specific DLPFC coordinate. More precise; requires imaging and a navigation system.
Functional MRI (fMRI) targeting Targets the individual L-DLPFC locus most functionally anticorrelated with the subgenual ACC. Most precise, most resource-intensive. Basis of SAINT; see Cutting edge.

Targeting error adds up. Work from the Brainstim / Acacia group and others has shown that scalp-based methods can miss the intended DLPFC target by ~30 mm on average, and that more precise, connectivity-based targeting improves remission rates in head-to-head comparisons (Cash 2021; Li 2020; Hadas 2019).

Brain networks

Understanding why L-DLPFC is the standard depression target requires stepping back from the coil and thinking about circuits. Depression is increasingly conceptualized as a disorder of large-scale brain networks rather than a single region or neurotransmitter — and TMS works by modulating a specific node within those networks.

Three canonical large-scale networks are implicated in depression, and their interaction is thought to be where the pathology lives:

Default Mode Network

DMN · self-referential

Active during rest, self-referential thought, and autobiographical memory. Anchored by medial prefrontal cortex, posterior cingulate, and the subgenual anterior cingulate (sgACC, Brodmann 25).

In depression: hyperactive and hyperconnected. The DMN “runs too loud” — producing the rumination, worry, and self-focused negative thought characteristic of depression.

TMS target connection: Fox 2012 showed that the L-DLPFC sites most effective for TMS are those most anticorrelated with the sgACC. Effective stimulation appears to “turn down” a pathologically overactive DMN through a connected cortical node.
Central Executive Network

CEN · cognitive control

Active during goal-directed tasks, working memory, and decision-making. Anchored by dorsolateral prefrontal cortex (DLPFC) and posterior parietal cortex.

In depression: hypoactive and weakly connected. Patients describe impaired concentration, slowed thinking, and difficulty planning — the cognitive symptoms of depression map onto a CEN that isn't recruited efficiently.

TMS target connection: High-frequency (10 Hz) L-DLPFC stimulation is generally excitatory. It engages the CEN directly, appearing to restore the network's capacity to regulate the DMN and other downstream structures.
Salience Network

SN · switching

Detects behaviorally relevant stimuli and coordinates switching between the DMN and CEN. Anchored by anterior insula and dorsal anterior cingulate cortex.

In depression: dysregulated switching. McTeague 2017 found shared abnormal activation in the anterior cingulo-insular salience network across MDD, bipolar, schizophrenia, anxiety, and SUDs — a transdiagnostic vulnerability.

TMS target connection: The salience network is less commonly targeted directly, but its role in network switching may explain why depression protocols produce benefits across comorbid anxiety, OCD features, and other symptom domains.

The network model, in one paragraph

In depression, the DMN is stuck “on” (rumination, negative self-focus), the CEN is stuck “off” (can't plan, can't concentrate), and the salience network fails to switch between them efficiently. The sgACC sits inside the DMN and acts as a hub for this dysfunction. The L-DLPFC sits inside the CEN and is anticorrelated with the sgACC — meaning that when the DLPFC is active, the sgACC quiets down. High-frequency TMS to L-DLPFC engages the CEN and, through that anticorrelation, turns down the overactive sgACC/DMN. The whole protocol — coil placement, frequency choice, pulse number — is engineered to modulate that specific circuit relationship.

This framework explains several clinical observations: why precision matters (Cash 2021 — scalp-based targeting misses the individual optimal DLPFC site by ~30 mm on average), why individualized fMRI-guided targeting improves outcomes (the DLPFC locus most anticorrelated with sgACC varies substantially between individuals), and why response prediction may become possible (baseline network connectivity patterns may identify who will respond to which protocol).

Quick check

Why is L-DLPFC the standard TMS target for depression, rather than directly stimulating the subgenual anterior cingulate where the pathology appears to live?

Evidence by indication

Evidence strength varies substantially by indication, and — importantly — does not always track with FDA clearance. Data below reflects meta-analyses and large real-world registries where available.

Major depressive disorder

Largest evidence base in the field. Multiple RCTs, meta-analyses, and a large real-world registry (NeuroStar, n=5,010) support both high-frequency left-sided and iTBS protocols for MDD. Key numbers worth knowing:

58–83% Response rate — NeuroStar registry, 5,010 patients (Sackeim 2020)
28–62% Remission rate — same registry, across self-report and clinician measures
14.2% vs 5.2% Remission, active vs sham in the pivotal RCT (O’Reardon 2007)
53% Response or remission after acute course (Dunner 2014, n=257)

Durability

Two key studies on how long response lasts:

  • Dunner 2014 — Multisite naturalistic observational study of 257 patients with pharmacoresistant MDD. 53% met response or remission criteria after the acute series. Among initial responders, 62.5% continued to meet response criteria throughout 12-month follow-up. ~36% of patients received some form of reintroduction TMS during follow-up.
  • Senova 2019 — Systematic review and meta-analysis of depression outcomes at 3, 6, and 12 months after a TMS course. Among initial responders, sustained response rates were 66.5% at 3 months, 52.9% at 6 months, and 46.3% at 12 months. The authors concluded that “maintenance treatment may enhance the durability of antidepressant effects of rTMS and should be considered in clinical practice.”

Meta-analytic effect size

Schutter 2010 meta-analysis of double-blind sham-controlled studies found an overall weighted mean effect size of d = 0.39 (95% CI 0.25–0.54, p<0.0001) for high-frequency rTMS over left DLPFC — comparable in magnitude to antidepressant medications. Vida 2023 reported a risk ratio of 2.25 for response and 2.78 for remission with rTMS as add-on vs. standard pharmacotherapy in patients with two prior treatment failures (19 RCTs, 854 patients).

Low-frequency right-sided: a viable alternative

Low-frequency right-sided rTMS performs comparably to high-frequency left-sided treatment, with a possible advantage in side-effect profile and seizure risk:

  • Berlim 2013 — Meta-analysis of 8 RCTs (n=263). Low-frequency right-sided rTMS: 34.6% remission (vs. 9.7% sham; OR 3.35) and 38.2% response (vs. 15.1%; OR 4.76). Conclusion: “LF-rTMS is a promising treatment for MD, with clinically meaningful benefits comparable to standard antidepressants and HF-rTMS.”
  • Chen 2013 — Meta-analysis directly comparing HF-left vs LF-right rTMS. No significant difference in efficacy (OR 1.15; 95% CI 0.65–2.03). Authors noted LF right-sided rTMS “produces fewer side effects and is more protective against seizures.”

iTBS vs. conventional rTMS

Bulteau 2022 (THETA-DEP) directly compared iTBS to 10 Hz rTMS in treatment-resistant unipolar depression. Response rates were 36.7% (iTBS) vs. 33.3% (10 Hz rTMS); remission rates were 18.5% vs. 14.8%. The conclusion: iTBS is as effective as rTMS and “probably more cost-effective” — a major reason iTBS has become a workhorse protocol.

Obsessive–compulsive disorder

FDA-cleared in 2018 for deep TMS with H-coil targeting mPFC/ACC. The pivotal trial and subsequent data:

  • Carmi 2019 — Multi-center, randomized, double-blind, sham-controlled trial of dTMS for OCD. 29 sessions over 6 weeks. Active treatment: 20 Hz dTMS at 100% MT, 50 trains of 2-second pulse trains with 20-second intervals, totaling 2,000 pulses per session. Mean Y-BOCS change: −6.0 points active vs. −3.3 sham (effect size 0.69). Response rate: 45.2% active vs. 17.8% sham.
  • Gersner 2019 — Pooled multicenter + open-label data (n=68). Mean Y-BOCS reduction of 8.6 points (30.1%) through week 6. 60.3% partial response (≥20% Y-BOCS decrease); 47.1% full response (≥30% decrease).

Smoking cessation

FDA-cleared in 2020. Deep TMS approach targeting bilateral insula and prefrontal cortex. Useful alternative for patients who have failed pharmacotherapy and behavioral approaches.

MDD with anxious distress / anxiety

FDA-cleared in 2021–22 for MDD with comorbid anxious distress (not a standalone anxiety indication).

Cox 2022 — Systematic review and meta-analysis of rTMS for GAD and panic disorder (13 studies, 677 patients). In GAD patients with or without comorbidities, rTMS produced significant improvements in anxiety (SMD 1.45; p<0.001) and depression scores (SMD 1.65; p<0.001) regardless of rTMS parameters. For panic disorder, overall severity improvement did not reach statistical significance. Authors conclude rTMS is “a safe and effective treatment for improving anxiety scores in GAD.”

Off-label and emerging indications

TMS has been studied in multiple conditions beyond its FDA-cleared indications. Evidence quality varies widely, and for most of these indications the literature consists of small trials, heterogeneous protocols, and meta-analyses with significant methodological limitations. The table below summarizes what the strongest available meta-analyses show, with notes on the limitations that matter clinically.

Indication Effect size (from best meta-analyses) What the evidence actually supports
Bipolar depression Cohen's d = 0.40 vs. sham (RCTs) Franco 2025 systematic review/meta-analysis of 56 studies (n=1,709) found response and remission rates comparable to unipolar depression, with left DLPFC high-frequency rTMS and right-sided low-frequency rTMS both showing benefit. FDA granted breakthrough designation for bipolar depression. Most data still come from mixed samples rather than dedicated bipolar RCTs.
Generalized anxiety disorder SMD = 1.45 for anxiety symptoms (Cox 2022) Cox 2022 and Parikh 2022 meta-analyses both show robust signal for GAD specifically. Effect was independent of rTMS parameters. Neither analysis separately reports response/remission rates — the literature uses continuous anxiety scales (HAM-A) rather than categorical outcomes. Panic disorder: evidence weaker, effect did not reach significance in Cox 2022.
PTSD Effect uncertain; high risk of bias across studies The evidence is weaker than commonly reported. The 2024 Cochrane review (Brown et al., 13 RCTs, n=577) rated 4 of 5 studies as high risk of bias and could not assess remission because no included study reported it. Earlier meta-analyses (Yan 2017) showed larger effects for high-frequency rTMS but were based on limited data. Promising signal, but far from settled.
Substance use disorders Hedge's g > 0.5 for craving (Mehta 2024) Mehta 2024 meta-analysis (94 studies, Neuropsychopharmacology) found medium-to-large effects on craving and consumption, strongest for tobacco, stimulants, and opioids. Alcohol results are more mixed. Best results came from multi-session protocols targeting left DLPFC. Only FDA-cleared indication is smoking cessation (BrainsWay H4).

How to read this table. Effect sizes reported here come from published meta-analyses, not from individual trials. They are not directly comparable to the response/remission rates quoted for MDD because the underlying studies use different outcome measures and report statistics differently. For off-label use, “there is a signal” is a more accurate characterization than specific response-rate numbers. Rigorous head-to-head RCTs specifically designed for each of these indications — rather than secondary analyses of depression trials — remain the research priority.

FDA clearance history

YearIndication
2008MDD in adults (NeuroStar, K083538)
2013MDD in adults (Brainsway Deep TMS)
2018OCD (Brainsway H7-coil, iTBS MagVenture)
2020Smoking cessation (Brainsway H4-coil)
2021–22MDD with comorbid anxious distress (NeuroStar, MagVenture)
2022SAINT / SNT accelerated iTBS (Magnus Medical, K213481)
March 2024NeuroStar first FDA clearance for adolescent MDD, ages 15–21 (K231926)
August 2025MagVenture FDA clearance for adolescent MDD, ages 15–21
September 2025Brainsway accelerated deep TMS protocol for adults
November 2025Brainsway FDA clearance for adolescent MDD, ages 15–21

How TMS works — mechanism

The exact mechanism by which TMS alleviates depression remains incompletely understood. Current evidence suggests it restores aberrantly functioning neurocircuits rather than producing a single-pathway pharmacologic effect. Several lines of evidence converge:

  • Subgenual cingulate connectivity — Weigand 2018 demonstrated prospectively that functional connectivity between the individual cortical target (DLPFC) and the subgenual cingulate predicts antidepressant response to rTMS. This finding underpins fMRI-guided targeting approaches and the SAINT protocol.
  • Structural change — Furtado 2013 showed increased left amygdala volume in responders and decreased left hippocampus volume in non-responders on neuroimaging, suggesting rTMS “may promote neurogenesis or other effects favoring neuronal plasticity.”
  • Cortico-striatal-thalamic-cortical loop — Peters 2016 describes the CSTC loop as a central pathway implicated in psychiatric disease and its response to neuromodulation.
  • Salience network disruption across diagnoses — McTeague 2017 analyzed 5,493 patients across MDD, bipolar, schizophrenia, anxiety, and SUDs vs. 5,728 controls and found shared abnormal activation in the anterior cingulo-insular or “salience network.” The authors describe this as a transdiagnostic vulnerability — “networks intrinsic to adaptive, flexible cognition are vulnerable to broad-spectrum psychopathology.”
Quick check

A colleague tells you that “TMS response rates are 80%, which is much better than antidepressants.” How should you think about this claim?

Cutting edge

Three trends define where the field is moving: precision targeting (fMRI-guided individualization), accelerated protocols (days, not weeks), and prediction (biomarkers and AI to identify who will respond and personalize stimulation).

fMRI-guided targeting

Preliminary work from the Acacia and Harvard collaborative group (n≈195, preprint) compared standard scalp-based targeting to individualized fMRI-guided targeting using the sgACC-anticorrelation principle. Early numbers suggest response rates may rise substantially with fMRI-guided targeting compared with scalp-based methods, with median targeting error under scalp methods of ~30 mm. If replicated, this would support fMRI-guided targeting as a meaningful advance in precision TMS. Specific percentages circulating in industry communications (e.g., 62% vs. 77.5% response, OR 2.3) should be confirmed against the peer-reviewed publication before being cited clinically.

Status: Preprint-stage, pending peer-reviewed publication. Directionally promising but numbers should be treated as preliminary.

SAINT / SNT

Stanford Neuromodulation Therapy: 5-day accelerated iTBS with individualized fMRI-based targeting. In the pivotal randomized trial, roughly 78.6% of participants met remission criteria after the active arm (Cole 2022). FDA-cleared under K213481. Real-world replication is ongoing; outcomes in community settings remain an active question.

ONE-D

Shorter-course accelerated protocol under active development and study. Preliminary reports (Vaughn 2025) describe encouraging response rates on HDRS and BDI measures in early cohorts, but peer-reviewed publication is pending.

Status: Preliminary/preprint-stage data. Specific response and remission percentages should not be cited in clinical documentation until confirmed in peer-reviewed form.

SWIFT

BrainsWay accelerated deep TMS protocol. Industry registration data describe strong response and remission outcomes; FDA clearance has been reported. The specific percentages circulating in manufacturer communications should be confirmed against the peer-reviewed publication and the FDA 510(k) summary before being used in clinical documentation or patient counseling.

Status: Recent FDA clearance; published peer-reviewed efficacy data still emerging. Industry-reported percentages (response ~87.8%, remission ~78.0%) warrant independent verification before clinical citation.

Biomarker-guided prediction

A parallel effort aims to predict response before starting a course, and in some cases to stratify patients to the protocol most likely to help them. Several research programs — including work at MUSC, one of the original homes of clinical TMS research — are converging on this goal.

  • fMRI-based network signatures — sgACC connectivity patterns and broader DMN/CEN dynamics. Cash 2021 showed that baseline functional connectivity predicts response to standard rTMS. Multi-site replication is ongoing.
  • EEG biomarkers — Brainmarker-I (Voetterl 2023, Nature Mental Health), a resting-state EEG-derived measure of individual alpha peak frequency (iAPF) that appears to predict differential response: patients with iAPF near 10 Hz respond better to 10 Hz left DLPFC rTMS, lower iAPF favors sertraline, and higher iAPF favors 1 Hz right DLPFC rTMS.
  • EEG-synchronized (closed-loop) TMS — The MUSC Brain Stimulation Lab (Mark George and colleagues) ran a first-in-human randomized trial of prefrontal rTMS synchronized to each patient's individual alpha phase, determined via a pre-treatment combined fMRI-EEG-TMS (fET) scan. Patients whose TMS pulses were time-locked to their personalized “preferred phase” showed entrainment-dependent clinical response (George 2023, Brain Stimulation). A proof-of-concept for individualized closed-loop stimulation.
  • Ongoing MUSC work (NCT06043401) — A prospective neuroimaging study at the MUSC Brain Stimulation Service is tracking dynamic brain states across a standard TMS course, asking whether baseline imaging measures can prospectively predict who will respond. Similar Veterans Affairs work (NCT04663481) is evaluating DLPFC-anchored cognitive control circuit connectivity as a predictive biomarker.
  • Multimodal ML — combining clinical, imaging, and EEG features. Initial models achieve AUCs around 0.69–0.75 for response and remission (published UCSD work), suggesting modest but real discriminative power. Not yet clinically actionable, but moving in the right direction.

Biomarker-guided prediction is the current research frontier most likely to change day-to-day practice in the next 5–10 years. Done well, it would move TMS from “try it and see” to “this patient's circuit profile suggests high probability of response with protocol X.” Done poorly, it becomes another layer of cost and complexity without commensurate clinical benefit. Worth watching carefully.

Where AI moves TMS forward

Near-term, practical applications:

  • Maintenance scheduling based on individual response trajectories rather than fixed calendars.
  • Smart maintenance protocols that adapt to relapse signals.
  • Registry-scale outcome tracking to move beyond single-center data.
  • AI-assisted coil positioning and real-time targeting verification.

Contraindications

The most common reason a referral is declined or delayed. Worth screening for before sending the patient.

Absolute contraindications

  • Ferromagnetic metal in or near the head — aneurysm clips, cochlear implants, intracranial stents or coils, deep brain stimulators, shrapnel, or other non-removable ferromagnetic hardware within roughly 30 cm of the coil.
  • Active implanted devices in the stimulation field — cochlear implants, vagus nerve stimulators (VNS), and intracranial electrodes.
  • Cardiac pacemakers or ICDs where the device or leads are within the magnetic field.
  • Medication infusion pumps (e.g., intrathecal pumps) that could be disrupted by the field.

Relative contraindications / caution

  • History of seizure or lowered seizure threshold — personal seizure history, recent CNS lesions, recent significant head trauma, withdrawal states, or concurrent proconvulsant medication. TMS lowers the seizure threshold; overall risk is low but not zero.
  • Active mania or rapid cycling — risk of treatment-emergent mood elevation, particularly in bipolar-spectrum patients.
  • Active substance use — complicates risk assessment, adherence, and interpretation of response.
  • Pregnancy — limited data; not an absolute contraindication but warrants case-by-case review with OB and psychiatry.
  • Significant hearing loss or inadequate ear protection — coil clicks can reach intensities requiring protection; pre-existing hearing concerns need documentation and appropriate ear protection.
  • Unstable medical or psychiatric comorbidity — acute suicidality, unstable cardiac disease, or uncontrolled medical illness may warrant stabilization before starting a course.

Common side effects (not contraindications)

Headache, scalp irritation or discomfort at the stimulation site, transient lightheadedness, and fatigue after sessions. These are usually self-limited and improve over the first week of treatment.

Quick check

A 42-year-old patient with treatment-resistant MDD has a history of a single alcohol-withdrawal seizure 8 years ago. She has been sober for 7 years with no further seizures, no antiepileptic medications, and a normal EEG. Is TMS contraindicated?

Referral tools

Practical guidance for referring clinicians.

What to include in the referral note

The Prisma Health Neuromodulation Program handles benefits verification and prior-authorization on behalf of each referral. The items below are what we’ll need in the referral note to process authorization efficiently — and, independent of insurance, they are the clinical documentation that supports a good TMS evaluation.

  • Current PHQ-9or equivalent severity score.
  • Antidepressant trials in the current episodefor each, include class, dose, duration, and reason for stopping or insufficient response. Payers typically require two or more adequate trials from different classes.
  • Psychotherapy trialCBT or equivalent, with duration and outcome.
  • ECT statusconsidered, offered, or reason not appropriate.
  • Contraindication screendocumented, including implants and seizure risk.
  • Diagnosis and severitydocumented in the current note, not just the problem list.

When to refer

Good referral

Adult with MDD who has failed two or more antidepressants at adequate dose and duration, has engaged in psychotherapy, has no contraindications, is motivated, and can commit to a 6–9 week course (or 5-day accelerated protocol at participating programs).

Send the consult — but flag these

Patients with prior seizure, bipolar spectrum, significant cognitive impairment, implanted devices (including devices in the chest/neck), pregnancy, or acute suicidality. These are not automatic disqualifiers but shift the conversation to risk–benefit and timing.

Refer to the Prisma Health Neuromodulation Program

For clinicians in the Upstate South Carolina region: the Prisma Health Neuromodulation Program offers TMS evaluation and treatment at the Behavioral Health and Wellness Pavilion (Grove Road Clinic, formerly the Brownell Center) in Greenville. We are currently running NeuroStar, with Magstim and BrainsWay platforms being added — expanding the protocol options available locally. Our team verifies benefits and handles prior authorization for each referral; contact us for coverage questions about a specific patient.

Location Behavioral Health and Wellness Pavilion
725 Grove Road
Greenville, SC 29605
Referral phone (864) 455-8813
Clinical leadership Adam Hart, MD
Section Chief, Neuromodulation Program

Prisma Health practice page →

What we can say honestly

Six statements that hold up across the current evidence base. Useful when talking to patients, families, and skeptical colleagues.

Honest statements about TMS

  • TMS is an effective, FDA-cleared treatment for several conditions. The evidence for MDD, in particular, is strong and replicated.
  • For some people TMS works. For others, it does not. We cannot yet reliably predict which is which before starting a course.
  • Response and remission rates are real, but they are not 100%, and relapse happens. Maintenance strategies matter.
  • Precision targeting, accelerated protocols, and biomarker-based prediction are genuinely promising, but much of the most exciting data is early-stage and awaits replication in community settings.
  • Coverage varies substantially by payer, plan, and indication. Most plans require prior authorization and documented failure of prior antidepressant trials. Our program handles benefits verification directly for each referral, so coverage specifics are not a barrier to starting the conversation.
  • We are far from optimized. TMS today is a real tool, not a finished one. Framing matters: this is cutting-edge clinical care and an open scientific question at the same time.
On treatment resistance

Patients who don’t respond to TMS aren’t failing the treatment. The treatment is failing them — and often for reasons that live outside the coil.

Biology, medical context, and life circumstances each shape response. A thoughtful evaluation accounts for all three.

References

Full reference list for material cited above, in AMA format with DOIs and PMIDs where available. Citations marked (verify) are newer or preprint-stage and should be independently confirmed before being cited in clinical documentation.

  1. Schutter DJ. Antidepressant efficacy of high-frequency transcranial magnetic stimulation over the left dorsolateral prefrontal cortex in double-blind sham-controlled designs: a meta-analysis. Psychol Med. 2009;39(1):65-75. doi:10.1017/S0033291708003462. PMID: 18447962.
  2. Schutter DJ. Quantitative review of the efficacy of slow-frequency magnetic brain stimulation in major depressive disorder. Psychol Med. 2010;40(11):1789-95. doi:10.1017/S003329171000005X. PMID: 20102670.
  3. O’Reardon JP, Solvason HB, Janicak PG, et al. Efficacy and safety of transcranial magnetic stimulation in the acute treatment of major depression: a multisite randomized controlled trial. Biol Psychiatry. 2007;62(11):1208-1216. doi:10.1016/j.biopsych.2007.01.018. PMID: 17573044.
  4. George MS, Lisanby SH, Avery D, et al. Daily left prefrontal transcranial magnetic stimulation therapy for major depressive disorder: a sham-controlled randomized trial. Arch Gen Psychiatry. 2010;67(5):507-516. doi:10.1001/archgenpsychiatry.2010.46. PMID: 20439832.
  5. Berlim MT, Van den Eynde F, Jeff Daskalakis Z. Clinically meaningful efficacy and acceptability of low-frequency repetitive transcranial magnetic stimulation (rTMS) for treating primary major depression: a meta-analysis of randomized, double-blind and sham-controlled trials. Neuropsychopharmacology. 2013;38(4):543-551. doi:10.1038/npp.2012.237. PMID: 23249815.
  6. Berlim MT, Van den Eynde F, Daskalakis ZJ. Efficacy and acceptability of high-frequency rTMS versus ECT for major depression: a systematic review and meta-analysis of randomized trials. Depress Anxiety. 2013;30(7):614-623. doi:10.1002/da.22060. PMID: 23349112.
  7. Chen J, Zhou C, Wu B, et al. Left versus right repetitive transcranial magnetic stimulation in treating major depression: a meta-analysis of randomised controlled trials. Psychiatry Res. 2013;210(3):1260-1264. doi:10.1016/j.psychres.2013.09.007. PMID: 24113125.
  8. Dunner DL, Aaronson ST, Sackeim HA, et al. A multisite, naturalistic, observational study of transcranial magnetic stimulation for patients with pharmacoresistant major depressive disorder: durability of benefit over a 1-year follow-up period. J Clin Psychiatry. 2014;75(12):1394-1401. doi:10.4088/JCP.13m08977. PMID: 25271871.
  9. Deng ZD, Lisanby SH, Peterchev AV. Coil design considerations for deep transcranial magnetic stimulation. Clin Neurophysiol. 2014;125(6):1202-1212. doi:10.1016/j.clinph.2013.11.038. PMID: 24411523.
  10. Peters SK, Dunlop K, Downar J. Cortico-striatal-thalamic loop circuits of the salience network: a central pathway in psychiatric disease and treatment. Front Syst Neurosci. 2016;10:104. doi:10.3389/fnsys.2016.00104. PMID: 28082874.
  11. McTeague LM, Huemer J, Carreon DM, Jiang Y, Eickhoff SB, Etkin A. Identification of common neural circuit disruptions in cognitive control across psychiatric disorders. Am J Psychiatry. 2017;174(7):676-685. doi:10.1176/appi.ajp.2017.16040400. PMID: 28320224.
  12. Weigand A, Horn A, Caballero R, et al. Prospective validation that subgenual connectivity predicts antidepressant efficacy of transcranial magnetic stimulation sites. Biol Psychiatry. 2018;84(1):28-37. doi:10.1016/j.biopsych.2017.10.028. PMID: 29274805.
  13. Furtado CP, Hoy KE, Maller JJ, Savage G, Daskalakis ZJ, Fitzgerald PB. An investigation of medial temporal lobe changes and cognition following antidepressant response: a prospective rTMS study. Brain Stimul. 2013;6(3):346-354. doi:10.1016/j.brs.2012.06.006. PMID: 22784443.
  14. Senova S, Cotovio G, Pascual-Leone A, Oliveira-Maia AJ. Durability of antidepressant response to repetitive transcranial magnetic stimulation: systematic review and meta-analysis. Brain Stimul. 2019;12(1):119-128. doi:10.1016/j.brs.2018.10.001. PMID: 30344109.
  15. Filipčić I, Šimunović Filipčić I, Milovac Ž, et al. Efficacy of repetitive transcranial magnetic stimulation using a figure-8-coil or an H1-coil in treatment of major depressive disorder; a randomized clinical trial. J Psychiatr Res. 2019;114:113-119. doi:10.1016/j.jpsychires.2019.04.020. PMID: 31059991.
  16. Carmi L, Tendler A, Bystritsky A, et al. Efficacy and safety of deep transcranial magnetic stimulation for obsessive-compulsive disorder: a prospective multicenter randomized double-blind placebo-controlled trial. Am J Psychiatry. 2019;176(11):931-938. doi:10.1176/appi.ajp.2019.18101180. PMID: 31109199.
  17. Gersner R, Sisko E, Tendler A. How much can patients expect to improve with six weeks of deep TMS for OCD? Brain Stimul. 2019;12(2):525.
  18. Iseger TA, Arns M, Downar J, Blumberger DM, Daskalakis ZJ, Vila-Rodriguez F. Cardiovascular differences between sham and active iTBS related to treatment response in MDD. Brain Stimul. 2020;13(1):167-174. doi:10.1016/j.brs.2019.09.016. PMID: 31629693.
  19. Li CT, Cheng CM, Chen MH, et al. Antidepressant efficacy of prolonged intermittent theta burst stimulation monotherapy for recurrent depression and comparison of methods for coil positioning: a randomized, double-blind, sham-controlled study. Biol Psychiatry. 2020;87(5):443-450. doi:10.1016/j.biopsych.2019.07.031. PMID: 31563272.
  20. Cole EJ, Stimpson KH, Bentzley BS, et al. Stanford Accelerated Intelligent Neuromodulation Therapy for treatment-resistant depression. Am J Psychiatry. 2020;177(8):716-726. doi:10.1176/appi.ajp.2019.19070720. PMID: 32252538.
  21. Sackeim HA, Aaronson ST, Carpenter LL, et al. Clinical outcomes in a large registry of patients with major depressive disorder treated with transcranial magnetic stimulation. J Affect Disord. 2020;277:65-74. doi:10.1016/j.jad.2020.08.005. PMID: 32799106.
  22. Zhang M, Wang R, Luo X, et al. Repetitive transcranial magnetic stimulation target location methods for depression. Front Neurosci. 2021;15:695423. doi:10.3389/fnins.2021.695423. PMID: 34566561.
  23. Cash RFH, Cocchi L, Lv J, Fitzgerald PB, Zalesky A. Functional magnetic resonance imaging–guided personalization of transcranial magnetic stimulation treatment for depression. JAMA Psychiatry. 2021;78(3):337-339. doi:10.1001/jamapsychiatry.2020.3794.
  24. Bulteau S, Laurin A, Pere M, et al. Intermittent theta burst stimulation (iTBS) versus 10 Hz high-frequency repetitive transcranial magnetic stimulation (rTMS) to alleviate treatment-resistant unipolar depression: a randomized controlled trial (THETA-DEP). Brain Stimul. 2022;15(3):870-880. doi:10.1016/j.brs.2022.05.011. PMID: 35609816.
  25. Caulfield KA, Fleischmann HH, George MS, McTeague LM. A transdiagnostic review of safety, efficacy, and parameter space in accelerated transcranial magnetic stimulation. J Psychiatr Res. 2022;152:384-396. doi:10.1016/j.jpsychires.2022.06.038. PMID: 35816982.
  26. Cole EJ, Phillips AL, Bentzley BS, et al. Stanford Neuromodulation Therapy (SNT): a double-blind randomized controlled trial. Am J Psychiatry. 2022;179(2):132-141. doi:10.1176/appi.ajp.2021.20101429. PMID: 34711062.
  27. Cox J, Thakur B, Alvarado L, Shokar N, Thompson PM, Dwivedi AK. Repetitive transcranial magnetic stimulation for generalized anxiety and panic disorders: a systematic review and meta-analysis. Ann Clin Psychiatry. 2022;34(2):e2-e24. doi:10.12788/acp.0050. PMID: 35550035.
  28. Schimmelpfennig J, Topczewski J, Zajkowski W, Jankowiak-Siuda K. The role of the salience network in cognitive and affective deficits. Front Hum Neurosci. 2023;17:1133367. doi:10.3389/fnhum.2023.1133367. PMID: 37020493.
  29. Vida RG, Sághy E, Bella R, et al. Efficacy of repetitive transcranial magnetic stimulation (rTMS) adjunctive therapy for major depressive disorder (MDD) after two antidepressant treatment failures: meta-analysis of randomized sham-controlled trials. BMC Psychiatry. 2023;23(1):545. doi:10.1186/s12888-023-05033-y. PMID: 37501135.
  30. Voetterl HTS, Sack AT, Olbrich S, et al. Alpha peak frequency-based Brainmarker-I as a method to stratify to pharmacotherapy and brain stimulation treatments in depression. Nat Mental Health. 2023;1:1023-1032. doi:10.1038/s44220-023-00160-7.
  31. Vieira R, et al. Transcranial magnetic stimulation in bipolar depression: meta-analysis. 2025. (verify)
  32. Vaughn J, et al. ONE-D accelerated protocol: clinical outcomes. 2025. (verify)
  33. Acacia Therapeutics × Harvard collaborative group. fMRI-guided precision targeting for depression (n=195). Preprint, 2025. (verify — preprint)
  34. BrainsWay. SWIFT protocol FDA clearance data. 2026. (verify)
  35. Franco FV, Fernandes P, et al. Efficacy, effectiveness, and safety of transcranial magnetic stimulation for bipolar depression: a systematic review and meta-analysis. Biol Psychiatry Glob Open Sci. 2025. doi:10.1016/j.bpsgos.2025.100172.
  36. Brown R, Cherian K, Jones K, Wickham R, Gomez R, Sahlem G. Repetitive transcranial magnetic stimulation for post-traumatic stress disorder in adults. Cochrane Database Syst Rev. 2024;8(8):CD015040. doi:10.1002/14651858.CD015040.pub2. PMID: 39092744.
  37. Mehta DD, Praecht A, Ward HB, et al. A systematic review and meta-analysis of neuromodulation therapies for substance use disorders. Neuropsychopharmacology. 2024;49(4):649-680. doi:10.1038/s41386-023-01776-0. PMID: 38086901.
  38. Parikh TK, Strawn JR, Walkup JT, Croarkin PE. Repetitive transcranial magnetic stimulation for generalized anxiety disorder: a systematic literature review and meta-analysis. Int J Neuropsychopharmacol. 2022;25(2):144-146. doi:10.1093/ijnp/pyab077. PMID: 34791275.
  39. Yan T, Xie Q, Zheng Z, Zou K, Wang L. Different frequency repetitive transcranial magnetic stimulation (rTMS) for posttraumatic stress disorder (PTSD): a systematic review and meta-analysis. J Psychiatr Res. 2017;89:125-135. doi:10.1016/j.jpsychires.2017.02.021. PMID: 28278422.
  40. Barker AT, Jalinous R, Freeston IL. Non-invasive magnetic stimulation of human motor cortex. Lancet. 1985;1(8437):1106-1107. doi:10.1016/s0140-6736(85)92413-4. PMID: 2860322.
  41. Mayberg HS, Lozano AM, Voon V, et al. Deep brain stimulation for treatment-resistant depression. Neuron. 2005;45(5):651-660. doi:10.1016/j.neuron.2005.02.014. PMID: 15748841.
  42. Fox MD, Buckner RL, White MP, Greicius MD, Pascual-Leone A. Efficacy of transcranial magnetic stimulation targets for depression is related to intrinsic functional connectivity with the subgenual cingulate. Biol Psychiatry. 2012;72(7):595-603. doi:10.1016/j.biopsych.2012.04.028. PMID: 22658708.
  43. Berlim MT, Van den Eynde F, Tovar-Perdomo S, Daskalakis ZJ. Response, remission and drop-out rates following high-frequency repetitive transcranial magnetic stimulation (rTMS) for treating major depression: a systematic review and meta-analysis of randomized, double-blind and sham-controlled trials. Psychol Med. 2014;44(2):225-239. doi:10.1017/S0033291713000512. PMID: 23507264.
  44. Blumberger DM, Vila-Rodriguez F, Thorpe KE, et al. Effectiveness of theta burst versus high-frequency repetitive transcranial magnetic stimulation in patients with depression (THREE-D): a randomised non-inferiority trial. Lancet. 2018;391(10131):1683-1692. doi:10.1016/S0140-6736(18)30295-2. PMID: 29726344.
  45. Lefaucheur JP, Aleman A, Baeken C, et al. Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS): an update (2014–2018). Clin Neurophysiol. 2020;131(2):474-528. doi:10.1016/j.clinph.2019.11.002. PMID: 31901449.
  46. George MS, Huffman S, Doose J, et al. EEG synchronized left prefrontal transcranial magnetic stimulation (TMS) for treatment resistant depression is feasible and produces an entrainment dependent clinical response: a randomized controlled double blind clinical trial. Brain Stimul. 2023;16(6):1753-1763. doi:10.1016/j.brs.2023.11.010. PMID: 38040143.

Citations 1–30 and 35–46 have been verified in PubMed/published form. Citations 31–34 are drawn from recent conference proceedings, preprints, or preliminary industry communications and should be independently confirmed before use in patient-facing documentation or consult notes.

Prediction & non-response

Why some patients don't respond — and can we predict who will?

Response rates of 60–80% mean 20–40% of patients don't get better from a standard TMS course. The clinically useful question isn't whether TMS works — the evidence is settled there — but why it doesn't work for some patients, and whether we can identify them before the first session.

Three reasons patients don't respond

Non-response to TMS is not a single phenomenon, and it is not a moral failing of the treatment or the patient. In practice, when a course doesn't produce the expected result, the cause usually falls into one of three categories — and the distinctions matter, because the right next step differs substantially across them.

Biology

True non-responders

The circuit doesn't move. Aberrant DLPFC–sgACC connectivity patterns, genetic factors, structural or inflammatory neurological disease, or other circuit-level features may render the target unreachable by current protocols. Baseline network connectivity predicts response in some cohorts (Cash 2021; Weigand 2018), but we cannot yet reliably identify true non-responders before treatment. This is the group most likely to benefit from precision targeting or an alternative mechanism.

Medical context

The treatment lands in poor soil

Untreated thyroid disease, B12 or folate deficiency, sleep apnea, chronic pain, active substance use, uncontrolled diabetes, or undertreated medical illness can blunt response to any antidepressant intervention. The brain is not isolated from the body it lives in. A standard pre-TMS workup that treats comorbid medical contributors before — or during — a course sometimes converts a non-responder into a responder without changing the stimulation protocol at all.

Life circumstances

We quiet the circuit; the world reactivates it

Active interpersonal abuse, severe financial distress, social isolation, unprocessed grief, food insecurity, or an ongoing traumatic environment can reactivate the same pathological patterns TMS is attempting to modulate. Functional connectivity can normalize in the clinic and re-dysregulate within hours of the patient returning home. No stimulation protocol — however precisely targeted — can override this if the environmental driver remains untouched.

Clinically, this framework shifts the first question after a limited response from "was the TMS protocol adequate?" to "which of these three factors is most likely in play, and what's the next reasonable move?" The answer is usually not more pulses at a higher intensity.

Can we predict response before the first session?

Prediction research has moved substantially in the past five years. Three signal classes are emerging — imaging-based, EEG-based, and multimodal machine learning — that may let us stratify patients to likely-responder and likely-non-responder groups before a course begins. Each has real data behind it and real limitations worth naming.

fMRI

Functional connectivity targeting

Cash 2021; Fox 2012; Williams / SAINT group

Individualized L-DLPFC targeting based on anti-correlation with the subgenual anterior cingulate (sgACC) outperforms scalp-based methods. In head-to-head work, fMRI-guided targeting improved response from ~62% under standard targeting to ~77.5%. This is the same targeting principle that underpins the SAINT / SNT protocol (Cole 2022). Resource-intensive; requires structural and resting-state imaging.

EEG

Individual alpha peak frequency

Voetterl 2023, Nature Mental Health

"Brainmarker-I" — a single resting-state EEG metric derived from the individual alpha peak frequency (iAPF). Patients with iAPF around 10 Hz showed higher remission with 10 Hz L-DLPFC rTMS; higher iAPF favored 1 Hz right-DLPFC rTMS; lower iAPF favored ECT and sertraline. Cheap, fast, reproducible in routine clinical EEG. Validated across independent cohorts including EMBARC.

ML

Multimodal classification

Jin 2024; Arkin 2020; UCSD work

Machine-learning models combining clinical features, structural and functional imaging, and resting-state EEG have reached reported accuracies of ~80–90% for individual TMS response prediction in research cohorts. Community-setting replication and model generalizability remain the critical open questions before any of this is clinically actionable.

This is where AI lives in psychiatry — not replacing judgment, but sharpening selection.

What this means for practice today

None of these prediction tools are yet standard of care, and none should be used to deny a reasonable TMS trial to a patient who would otherwise qualify. But the framing has shifted. The sequence — treat first, then learn retrospectively who responded — is beginning to flip toward stratify first, then treat.

For the referring clinician today, the practical implications are modest but real:

  • A pre-TMS workup that screens for — and treats — medical contributors (thyroid, sleep, B12, pain, substance use) is a higher-yield intervention than protocol tuning in many limited-response cases.
  • A social and environmental assessment matters. If the life circumstance is actively driving the pathology, a stimulation-only plan is likely to disappoint regardless of targeting precision.
  • When a patient has not responded to one TMS protocol, the alternative is rarely more of the same. Switching laterality (HF-left → LF-right), switching to iTBS or deep TMS, moving to an accelerated or fMRI-guided protocol, or reconsidering ECT or ketamine on mechanism-diversity grounds are all better-supported moves than simply extending the original course.
  • Biomarker-guided stratification — particularly EEG-based measures like iAPF that are cheap and repeatable — is the most plausible near-term clinical entry point. Worth tracking. Not yet ready to deploy.

Patients who don't respond to TMS aren't failing the treatment. The treatment is failing them — and often for reasons that live outside the coil. A thoughtful evaluation accounts for all three categories of non-response, and a thoughtful follow-up plan addresses the one most likely in play.

Selected references for this section
  1. Voetterl HTS, Sack AT, Olbrich S, et al. Alpha peak frequency-based Brainmarker-I as a method to stratify to pharmacotherapy and brain stimulation treatments in depression. Nat Mental Health. 2023;1:1023–1032. doi:10.1038/s44220-023-00160-7.
  2. Cash RFH, Cocchi L, Lv J, Fitzgerald PB, Zalesky A. Functional magnetic resonance imaging–guided personalization of transcranial magnetic stimulation treatment for depression. JAMA Psychiatry. 2021;78(3):337–339. doi:10.1001/jamapsychiatry.2020.3794.
  3. Fox MD, Buckner RL, White MP, Greicius MD, Pascual-Leone A. Efficacy of transcranial magnetic stimulation targets for depression is related to intrinsic functional connectivity with the subgenual cingulate. Biol Psychiatry. 2012;72(7):595–603. doi:10.1016/j.biopsych.2012.04.028. PMID: 22658708.
  4. Weigand A, Horn A, Caballero R, et al. Prospective validation that subgenual connectivity predicts antidepressant efficacy of transcranial magnetic stimulation sites. Biol Psychiatry. 2018;84(1):28–37. PMID: 29274805.
  5. Cole EJ, Phillips AL, Bentzley BS, et al. Stanford Neuromodulation Therapy (SNT): a double-blind randomized controlled trial. Am J Psychiatry. 2022;179(2):132–141. doi:10.1176/appi.ajp.2021.20101429. PMID: 34711062.