Evidence map›Paper›PMID 42583770›Full record

Trial reportInternational journal of geriatric psychiatry2026

Electroencephalographic Biomarkers of Deep Transcranial Magnetic Stimulation Treatment Response for Major Depressive Disorder in Older Adults: A Preliminary Study.

Shelby Prokop-Millar, Carly McIntyre-Wood, Mahmoud Elsayed, Benjamin Schwartzmann, Anne-Marie Di Passa, Horodjei Yaya, Allan Fein, Emily Vandehei, Benicio N Frey, Faranak Farzan and 3 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of geriatric psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Shelby Prokop-MillarDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0009-0008-5636-2613
Carly McIntyre-WoodDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0002-4838-0300
Mahmoud ElsayedDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.
Benjamin SchwartzmannSchool of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, British Columbia, Canada.
Anne-Marie Di PassaPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0002-8310-8716
Horodjei YayaPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.
Allan FeinPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.
Emily VandeheiPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.
Benicio N FreyDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.
Faranak FarzanSchool of Mechatronic Systems Engineering, Simon Fraser University, Burnaby, British Columbia, Canada.
Emily MacKillopPeter Boris Centre for Addictions Research, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.
James MacKillopDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0002-8695-1071
Dante DuarteDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0001-7516-5473

Funding

City of Hamilton
6 · The paper itself

Abstract

aimMajor depressive disorder (MDD) in older adults can result in detrimental health consequences and often presents with resistance to antidepressant treatment. While Hesed-coil 4 (H4) and 7 have shown great promise in the treatment of MDD in older adults, not all participants will respond. Establishing biomarkers to predict individual treatment responses and to better understand how these coils work to treat MDD in older adults is essential. Resting-state electroencephalography (rsEEG), a cost-effective technique, has been previously used to identify response biomarkers to psychiatric treatments. This study therefore aims to identify rsEEG biomarkers of response to the H4 and H7 coils in older adults with MDD.

methodsTwenty-one older adults with treatment-resistant MDD were randomly assigned to undergo 20 sessions of either H4 or H7 coils. rsEEG recordings were ascertained at baseline and posttreatment, along with the 24-item Hamilton Depression Scale (HDRS-24).

resultsAlthough none of the effects remained significant after correction, several preliminary biomarker patterns emerged. Higher baseline gamma power at Fp1 and F4 predicted a lower likelihood of treatment response. Investigation into treatment correlate signals revealed that decreases in alpha power at F4 and P3, and increases theta power at F7, were associated with greater improvement in HDRS-24 scores.

conclusionThis study identified preliminary rsEEG biomarkers of H4 and H7 coil response in older adults with MDD, providing initial proof-of-concept. Therefore, these findings can help guide hypothesis generation in future research. With larger sham-controlled trials needed for definitive characterization and validation.

Indexed as

Depressive Disorder, Treatment-ResistantElectroencephalographyMajor Depressive DisorderTranscranial Magnetic StimulationAgedBiomarkersFemaleHumansMaleMiddle AgedPsychiatric Status Rating ScalesTreatment OutcomeBiomarkersbiomarkersdepressionelectroencephalographygeriatricstranscranial magnetic stimulation

Identifiers

PMID42583770
PMCPMC13463282

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.