ArticleNeuroImage. Clinical2021
Multiscale neural modeling of resting-state fMRI reveals executive-limbic malfunction as a core mechanism in major depressive disorder.
Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Brain-wide changes in excitation-inhibition balance of major depressive disorder: a systematic review of topographic patterns of GABA- and glutamatergic alterations.Molecular psychiatry · 2023Pooled it
- Functional connectivity of salience and affective networks among remitted depressed patients predicts episode recurrence.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Trial
- A spatially discretized convolutional neural mass model for studying meso-scale spatio-temporal transformations in the rat hippocampus.Research square · 2026Article
- High-definition tDCS regulate the prefrontal-limbic-striatal connectivity and reduce depression in youth with first-episode depression.BMC psychiatry · 2026Article
- A Large-scale Neural Model Inversion Framework for Effective Connectivity Estimation.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026Article
- Bridging local and global dynamics: a biologically grounded model for cooperative and competitive interactions in the brain.bioRxiv : the preprint server for biology · 2025Article
- Characterization of Neurensin-2 knockout mice: insights into stress-resilience mechanisms.Translational psychiatry · 2025Article
- Revealing excitation-inhibition imbalance in Alzheimer's disease using multiscale neural model inversion of resting-state functional MRI.Communications medicine · 2025Article
- Neural field modeling and analysis of consciousness states in the brain.Neuroscience of consciousness · 2025Article
- The Algorithmic Agent Perspective and Computational Neuropsychiatry: From Etiology to Advanced Therapy in Major Depressive Disorder.Entropy (Basel, Switzerland) · 2024Article
- Anxiety and depression are associated with heightened risk of incident deep vein thrombosis: Mediation through stress-related neural mechanisms.American journal of hematology · 2024Article
- Advancing Post-Stroke Depression Research: Insights from Murine Models and Behavioral Analyses.Life (Basel, Switzerland) · 2024Review
- Neuroimaging features of cognitive impairments in schizophrenia and major depressive disorder.Therapeutic advances in psychopharmacology · 2024Review
- Compressed primary-to-transmodal gradient is accompanied with subcortical alterations and linked to neurotransmitters and cellular signatures in major depressive disorder.Human brain mapping · 2023Article
- Altered Effective Connectivity Among the Cerebellum and Cerebrum in Patients with Major Depressive Disorder Using Multisite Resting-State fMRI.Cerebellum (London, England) · 2023Article
- Hippocampal subfield volumes in treatment resistant depression and serial ketamine treatment.Frontiers in psychiatry · 2023Article
- Mechanisms associated with post-stroke depression and pharmacologic therapy.Frontiers in neurology · 2023Review
- From descriptive connectome to mechanistic connectome: Generative modeling in functional magnetic resonance imaging analysis.Frontiers in human neuroscience · 2022Review
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
Abstract
Major depressive disorder (MDD) represents a grand challenge to human health and society, but the underlying pathophysiological mechanisms remain elusive. Previous neuroimaging studies have suggested that MDD is associated with abnormal interactions and dynamics in two major neural systems including the default mode - salience (DMN-SAL) network and the executive - limbic (EXE-LIM) network, but it is not clear which network plays a central role and which network plays a subordinate role in MDD pathophysiology. To address this question, we refined a newly developed Multiscale Neural Model Inversion (MNMI) framework and applied it to test whether MDD is more affected by impaired circuit interactions in the DMN-SAL network or the EXE-LIM network. The model estimates the directed connection strengths between different neural populations both within and between brain regions based on resting-state fMRI data collected from normal healthy subjects and patients with MDD. Results show that MDD is primarily characterized by abnormal circuit interactions in the EXE-LIM network rather than the DMN-SAL network. Specifically, we observe reduced frontoparietal effective connectivity that potentially contributes to hypoactivity in the dorsolateral prefrontal cortex (dlPFC), and decreased intrinsic inhibition combined with increased excitation from the superior parietal cortex (SPC) that potentially lead to amygdala hyperactivity, together resulting in activation imbalance in the PFC-amygdala circuit that pervades in MDD. Moreover, the model reveals reduced PFC-to-hippocampus excitation but decreased SPC-to-thalamus inhibition in MDD population that potentially lead to hypoactivity in the hippocampus and hyperactivity in the thalamus, consistent with previous experimental data. Overall, our findings provide strong support for the long-standing limbic-cortical dysregulation model in major depression but also offer novel insights into the multiscale pathophysiology of this debilitating disease.
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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.