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Neuroimaging-based variability in subtyping biomarkers for psychiatric heterogeneity
by
Marmar, Charles R.
, Laska, Eugene M.
, Hammoud, Mira Z.
, Milad, Mohammed R.
, Wen, Zhenfu
, Abu-Amara, Duna
, Etkin, Amit
, Siegel, Carole E.
in
59/36
/ 59/57
/ 631/378
/ 631/477
/ 692/53/2421
/ 692/699/476
/ Adult
/ Behavioral Sciences
/ Biological Psychology
/ Biomarkers
/ Biomarkers - metabolism
/ Brain - diagnostic imaging
/ Brain Injuries, Traumatic - diagnostic imaging
/ Comorbidity
/ Depressive Disorder, Major - diagnostic imaging
/ Female
/ Humans
/ Magnetic Resonance Imaging - methods
/ Male
/ Medical imaging
/ Medicine
/ Medicine & Public Health
/ Mental disorders
/ Mental Disorders - classification
/ Mental Disorders - diagnostic imaging
/ Middle Aged
/ Neuroimaging
/ Neuroimaging - methods
/ Neurosciences
/ Pharmacotherapy
/ Post traumatic stress disorder
/ Psychiatry
/ Stress Disorders, Post-Traumatic - diagnostic imaging
/ Traumatic brain injury
2025
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Neuroimaging-based variability in subtyping biomarkers for psychiatric heterogeneity
by
Marmar, Charles R.
, Laska, Eugene M.
, Hammoud, Mira Z.
, Milad, Mohammed R.
, Wen, Zhenfu
, Abu-Amara, Duna
, Etkin, Amit
, Siegel, Carole E.
in
59/36
/ 59/57
/ 631/378
/ 631/477
/ 692/53/2421
/ 692/699/476
/ Adult
/ Behavioral Sciences
/ Biological Psychology
/ Biomarkers
/ Biomarkers - metabolism
/ Brain - diagnostic imaging
/ Brain Injuries, Traumatic - diagnostic imaging
/ Comorbidity
/ Depressive Disorder, Major - diagnostic imaging
/ Female
/ Humans
/ Magnetic Resonance Imaging - methods
/ Male
/ Medical imaging
/ Medicine
/ Medicine & Public Health
/ Mental disorders
/ Mental Disorders - classification
/ Mental Disorders - diagnostic imaging
/ Middle Aged
/ Neuroimaging
/ Neuroimaging - methods
/ Neurosciences
/ Pharmacotherapy
/ Post traumatic stress disorder
/ Psychiatry
/ Stress Disorders, Post-Traumatic - diagnostic imaging
/ Traumatic brain injury
2025
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Neuroimaging-based variability in subtyping biomarkers for psychiatric heterogeneity
by
Marmar, Charles R.
, Laska, Eugene M.
, Hammoud, Mira Z.
, Milad, Mohammed R.
, Wen, Zhenfu
, Abu-Amara, Duna
, Etkin, Amit
, Siegel, Carole E.
in
59/36
/ 59/57
/ 631/378
/ 631/477
/ 692/53/2421
/ 692/699/476
/ Adult
/ Behavioral Sciences
/ Biological Psychology
/ Biomarkers
/ Biomarkers - metabolism
/ Brain - diagnostic imaging
/ Brain Injuries, Traumatic - diagnostic imaging
/ Comorbidity
/ Depressive Disorder, Major - diagnostic imaging
/ Female
/ Humans
/ Magnetic Resonance Imaging - methods
/ Male
/ Medical imaging
/ Medicine
/ Medicine & Public Health
/ Mental disorders
/ Mental Disorders - classification
/ Mental Disorders - diagnostic imaging
/ Middle Aged
/ Neuroimaging
/ Neuroimaging - methods
/ Neurosciences
/ Pharmacotherapy
/ Post traumatic stress disorder
/ Psychiatry
/ Stress Disorders, Post-Traumatic - diagnostic imaging
/ Traumatic brain injury
2025
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Neuroimaging-based variability in subtyping biomarkers for psychiatric heterogeneity
Journal Article
Neuroimaging-based variability in subtyping biomarkers for psychiatric heterogeneity
2025
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Overview
Neuroimaging-based subtyping is increasingly used to explain heterogeneity in psychiatric disorders. However, the clinical utility of these subtyping efforts remains unclear, and replication has been challenging. Here we examined how the choice of neuroimaging measures influences the derivation of neuro-subtypes and the consequences for clinical delineation. On a clinically heterogeneous dataset (total
n
= 566) that included controls (
n
= 268) and cases (
n
= 298) of psychiatric conditions, including individuals diagnosed with post-traumatic stress disorder (PTSD), traumatic brain injury (TBI), and comorbidity of both (PTSD&TBI), we identified neuro-subtypes among the cases using either structural, resting-state, or task-based measures. The neuro-subtypes for each modality had high internal validity but did not significantly differ in their clinical and cognitive profiles. We further show that the choice of neuroimaging measures for subtyping substantially impacts the identification of neuro-subtypes, leading to low concordance across subtyping solutions. Similar variability in neuro-subtyping was found in an independent dataset (
n
= 1642) comprised of major depression disorder (MDD,
n
= 848) and controls (
n
= 794). Our results suggest that the highly anticipated relationships between neuro-subtypes and clinical features may be difficult to discover.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
/ 59/57
/ 631/378
/ 631/477
/ Adult
/ Brain Injuries, Traumatic - diagnostic imaging
/ Depressive Disorder, Major - diagnostic imaging
/ Female
/ Humans
/ Magnetic Resonance Imaging - methods
/ Male
/ Medicine
/ Mental Disorders - classification
/ Mental Disorders - diagnostic imaging
/ Post traumatic stress disorder
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