ArticleCerebral cortex (New York, N.Y. : 1991)2019
Distinctive Neuroanatomical Substrates for Depression in Bipolar Disorder versus Major Depressive Disorder.
Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review.JAMA network open · 2023Pooled it
- Towards a brain-based predictome of mental illness.Human brain mapping · 2020Pooled it
- Low-Dose Testosterone Augmentation for Antidepressant-Resistant Major Depressive Disorder in Women: An 8-Week Randomized Placebo-Controlled Study.The American journal of psychiatry · 2020Trial
- Machine learning with multiple modalities of brain magnetic resonance imaging data to identify the presence of bipolar disorder.Journal of affective disorders · 2025Article
- Exploring the Morphological Study of the Brain in Patients with Bipolar Disorder Based on Structural Magnetic Resonance Imaging.Neuropsychiatric disease and treatment · 2025Article
- Knowledge, attitude, and practice of depression among university students.Brain and behavior · 2024Article
- Neural Functioning in Late-Life Depression: An Activation Likelihood Estimation Meta-Analysis.Geriatrics (Basel, Switzerland) · 2024Review
- A machine learning pipeline for efficient differentiation between bipolar and major depressive disorder based on multimodal structural neuroimaging.Neuroscience applied · 2024Article
- Classification of bipolar disorders using the multilayer modularity in dynamic minimum spanning tree from resting state fMRI.Cognitive neurodynamics · 2023Article
- Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry.BMC medicine · 2023Article
- An Overview of Bipolar Disorder Diagnosis Using Machine Learning Approaches: Clinical Opportunities and Challenges.Iranian journal of psychiatry · 2023Article
- Psychosomatic symptoms related to exacerbation of fatigue in patients with medically unexplained symptoms.Journal of general and family medicine · 2023Article
- SPAMRI: A MATLAB Toolbox for Surface-Based Processing and Analysis of Magnetic Resonance Imaging.Frontiers in human neuroscience · 2022Article
- Combined fractional anisotropy and subcortical volumetric deficits in patients with mild-to-moderate depression: Evidence from the treatment of antidepressant traditional Chinese medicine.Frontiers in neuroscience · 2022Article
- Machine learning algorithm performance evaluation in structural magnetic resonance imaging-based classification of pediatric bipolar disorders type I patients.Frontiers in computational neuroscience · 2022Article
- Dissecting the molecular mechanisms underlying the antidepressant activities of herbal medicines through the comprehensive review of the recent literatures.Frontiers in psychiatry · 2022Review
- Calcium imaging reveals depressive- and manic-phase-specific brain neural activity patterns in a murine model of bipolar disorder: a pilot study.Translational psychiatry · 2021Article
- Brain correlates of depression, post-traumatic distress, and inflammatory biomarkers in COVID-19 survivors: A multimodal magnetic resonance imaging study.Brain, behavior, & immunity - health · 2021Article
- Neuroanatomical norms in the UK Biobank: The impact of allometric scaling, sex, and age.Human brain mapping · 2021Article
- Cellular correlates of gray matter volume changes in magnetic resonance morphometry identified by two-photon microscopy.Scientific reports · 2021Article
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17 authors.
Funding
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Abstract
No neuroanatomical substrates for distinguishing between depression of bipolar disorder (dBD) and major depressive disorder (dMDD) are currently known. The aim of the current multicenter study was to identify neuroanatomical patterns distinct to depressed patients with the two disorders. Further analysis was conducted on an independent sample to enable generalization of results. We directly compared MR images of these subjects using voxel-based morphometry (VBM) and a support vector machine (SVM) algorithm using 1531 participants. The VBM analysis showed significantly reduced gray matter volumes in the bilateral dorsolateral prefrontal (DLPFC) and anterior cingulate cortices (ACC) in patients with dBD compared with those with dMDD. Patients with the two disorders shared small gray matter volumes for the right ACC and left inferior frontal gyrus when compared with healthy subjects. Voxel signals in these regions during SVM analysis contributed to an accurate classification of the two diagnoses. The VBM and SVM results in the second cohort also supported these results. The current findings provide new evidence that gray matter volumes in the DLPFC and ACC are core regions in displaying shared and distinct neuroanatomical substrates and can shed light on elucidation of neural mechanism for depression within the bipolar/major depressive disorder continuum.
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