Evidence map›Paper›PMID 42494826›Full record

ArticleBiological psychiatry global open science2026

Neurophysiological Correlates of Neuroanatomical Dimensions in Major Depressive Disorder: Electroencephalographic Markers of Brain Function and Treatment Outcome.

Wenyi Xiao, Rachel D Woodham, Mathilde Antoniades, Dhivya Srinivasan, Yong Fan, Guray Erus, Jose A Garcia, Stephen R Arnott, Taolin Chen, Ki Sueng Choi and 40 more

Abstract read
In one paragraph

Article in Biological psychiatry global open science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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

50 authors.

Wenyi XiaoDepartment of Psychology, University of East London, London, United Kingdom.
Rachel D WoodhamDepartment of Psychology, University of East London, London, United Kingdom.
Mathilde AntoniadesCenter for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Dhivya SrinivasanCenter for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Yong FanCenter for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Guray ErusCenter for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Jose A GarciaCenter for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Stephen R ArnottIndoc Research, Toronto, Ontario, Canada.
Taolin ChenDepartment of Radiology, Huaxi MR Research Center, Institute of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Ki Sueng ChoiNash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York.
Cherise R Chin FattDepartment of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, Texas.
Benicio N FreyDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada.
Faranak FarzanSchool of Mechatronic Systems Engineering, Simon Fraser University, Vancouver, British Columbia, Canada.
Vibe G FrøkjærNeurobiology Research Unit, University Hospital Rigshospitalet, Copenhagen, Denmark.
Melanie GanzNeurobiology Research Unit, University Hospital Rigshospitalet, Copenhagen, Denmark.
Beata R GodlewskaDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.
Stefanie HasselMathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta, Canada.
Keith HoDepartment of Psychiatry, University Health Network, Toronto, Ontario, Canada.
Andrew M McIntoshDivision of Psychiatry, Centre for Clinical Brain Sciences, Royal Infirmary Edinburgh, Edinburgh, United Kingdom.
Kun QinDepartment of Radiology, Huaxi MR Research Center, Institute of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Susan RotzingerDepartment of Psychiatry, University Health Network, Toronto, Ontario, Canada.
Matthew D SacchetMeditation Research Program, Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Jonathan SavitzLaureate Institute for Brain Research, Tulsa, Oklahoma.
Haochang ShouCenter for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Ashish SinghCenter for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Aleks StolicynDivision of Psychiatry, Centre for Clinical Brain Sciences, Royal Infirmary Edinburgh, Edinburgh, United Kingdom.
Irina StrigoDepartment of Psychiatry, University of California San Francisco, San Francisco, California.
Stephen C StrotherIndoc Research, Toronto, Ontario, Canada.
Duygu TosunDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Dongtao WeiSchool of Psychology, Southwest University, Chongqing, China.
Roland ZahnDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Ian M AndersonDivision of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.
W Edward CraigheadDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia.
J F William DeakinDivision of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.
Boadie W DunlopDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia.
Rebecca ElliottDivision of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom.
Qiyong GongDepartment of Radiology, Huaxi MR Research Center, Institute of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Ian H GotlibDepartment of Psychology, Stanford University, Stanford, California.
Catherine J HarmerDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.
Sidney H KennedyDivision of Psychiatry, Centre for Clinical Brain Sciences, Royal Infirmary Edinburgh, Edinburgh, United Kingdom.
Gitte M KnudsenNeurobiology Research Unit, University Hospital Rigshospitalet, Copenhagen, Denmark.
Helen S MaybergNash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York.
Martin P PaulusLaureate Institute for Brain Research, Tulsa, Oklahoma.
Jiang QiuSchool of Psychology, Southwest University, Chongqing, China.
Madhukar H TrivediDepartment of Psychiatry, Center for Depression Research and Clinical Care, University of Texas Southwestern Medical Center, Dallas, Texas.
Heather C WhalleyDivision of Psychiatry, Centre for Clinical Brain Sciences, Royal Infirmary Edinburgh, Edinburgh, United Kingdom.
Chao Gan YanDepartment of Psychological and Cognitive Sciences, Tsinghua University, Beijing, China.
Allan H YoungDepartment of Psychiatry, Imperial College London, London, United Kingdom.
Christos DavatzikosCenter for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Cynthia H Y FuDepartment of Psychology, University of East London, London, United Kingdom.

Funding

ABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7M
The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)P20GM121312 · NIGMS · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI Jonathan Savitz · 2017 to 2026
$23.7M
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease BiobanksU01AG068057 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christos Davatzikos, Heng Huang · 2020 to 2026
$20.7M
Establishing Moderators/Biosignatures of Antidepressant Response- Clinical CareU01MH092221 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI TRIVEDI, MADHUKAR H. · 2010 to 2015
$9.7M
Special Scientific Procedures: Statistical Modeling CoreP50MH077083 · NIMH · EMORY UNIVERSITY · PI KUTNER, MICHAEL HENRY · 2006 to 2010
$9.3M
Biosignatures of Treatment Remission in Major DepressionU01MH092250 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MCGRATH, PATRICK J, PARSEY, RAMIN V. · 2010 to 2015
$8.9M
Psychobiological Mechanisms Underlying the Association Between Early Life Stress and Depression Across AdolescenceR37MH101495 · NIMH · STANFORD UNIVERSITY · PI IAN H GOTLIB · 2018 to 2026
$6.6M
Predictors of Treatment Response Relapse and Recurrence in Major DepressionR01MH080880 · NIMH · EMORY UNIVERSITY · PI CRAIGHEAD, W. EDWARD · 2008 to 2012
$6.6M
Machine Learning and Large-scale Imaging analytics for dimensional representations of brain trajectories in aging and preclinical Alzheimer's Disease: The brain aging chart and the iSTAGING consortiumRF1AG054409 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2023
$6.3M
Personalized Functional Network Modeling to Characterize and Predict Psychopathology in YouthR01EB022573 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yong Fan, Theodore Satterthwaite · 2016 to 2026
$6.0M
Harmonization of Multi-Site Neuroimaging Data from Complex Study DesignsR01MH123550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2025
$4.0M
Fast and robust deep learning tools for analysis of neuroimaging data of Alzheimer's diseaseR01AG066650 · NIA · UNIVERSITY OF PENNSYLVANIA · PI FAN, YONG · 2021 to 2025
$3.4M
NIA NIH HHS R01 AG066650NIA NIH HHS RF1 AG054409NIA NIH HHS U01 AG068057NIBIB NIH HHS R01 EB022573NIDA NIH HHS U01 DA041089NIGMS NIH HHS P20 GM121312NIMH NIH HHS K01 MH096077NIMH NIH HHS P50 MH077083NIMH NIH HHS R01 MH080880NIMH NIH HHS R01 MH098099NIMH NIH HHS R01 MH101472NIMH NIH HHS R01 MH112070NIMH NIH HHS R01 MH123550NIMH NIH HHS R01 MH125850NIMH NIH HHS R01 MH134236NIMH NIH HHS R37 MH101495NIMH NIH HHS U01 MH092221NIMH NIH HHS U01 MH092250Wellcome Trust
6 · The paper itself

Abstract

Background: Major depressive disorder (MDD) is heterogeneous in clinical presentation and treatment response. The COORDINATE-MDD consortium identified two magnetic resonance imaging (MRI)-derived neuroanatomical profiles: dimension 1 (D1), with relatively preserved gray and white matter, and dimension 2 (D2), showing widespread reductions aligned with immunometabolic profile. Profiles were associated with distinct responses to selective serotonin reuptake inhibitor (SSRI) antidepressant and placebo (PLA). In this study, we examined electrophysiological correlates of the neuroanatomical profiles and their relationship to treatment outcome. Methods: Baseline resting-state, eyes-closed electroencephalography (EEG) was acquired from 237 medication-free participants with MDD who were in a current depressive episode (155 women; mean age [SD] = 37.47 [13.36] years) from CAN-BIND (Canadian Biomarker Integration Network in Depression) (SSRI) and EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care) (SSRI or PLA). EEG features included spectral power, frontal alpha asymmetry (FAA), multiscale sample entropy, and intersite phase clustering. Effects of profile (D1 and D2) and clinical outcome (responder, nonresponder; defined as ≥50% symptom improvement) were examined with age, sex, and site as covariates. Results: No significant electrophysiological differences were observed after covariate adjustment. However, among participants who subsequently responded to treatment, D1 showed greater baseline alpha power in frontal and central regions and lower relative delta posteriorly compared with D2. In PLA-treated responders, D2 showed spectral slowing, elevated low-frequency power, reduced gamma, and coarse-scale entropy compared with D1. Baseline FAA was lower in responders than nonresponders, independent of the neuroanatomical profile. Conclusions: EEG differences between MRI-defined neuroanatomical profiles emerged in relation to clinical outcome. D1 was associated with electrophysiological patterns consistent with flexible, globally regulated cortical dynamics in SSRI responders, whereas D2 showed a distinct pattern in PLA responders, indicating partially separable neural mechanisms underlying pharmacological and PLA treatment effects.

Indexed as

Antidepressant treatment responseElectrophysiological predictorsMajor depressive disorderMultimodal neuroimagingNeuroanatomical dimensionsResting-state EEG

Identifiers

PMID42494826
PMCPMC13392939

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