ArticleNeuropsychiatric disease and treatment2019
Disrupted Brain Entropy And Functional Connectivity Patterns Of Thalamic Subregions In Major Depressive Disorder.
Article in Neuropsychiatric disease and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Default Mode Network Modulation by Psychedelics: A Systematic Review.The international journal of neuropsychopharmacology · 2023Pooled it
- Reduced but Reversible Brain Entropy After Occupational Partial Sleep Deprivation in Night-Shift Medical Staff.Brain and behavior · 2026Article
- Frontal Cortex Entropy Derived From Resting-State fNIRS for Brain Age Prediction in Major Depressive Disorder.Depression and anxiety · 2026Article
- Wired Differently? Brain Temporal Complexity and Intelligence in Autism Spectrum Disorder.Brain sciences · 2025Article
- The different impacts of functional network centrality and connectivity on the complexity of brain signals in healthy control and first-episode drug-naïve patients with major depressive disorder.Brain imaging and behavior · 2025Article
- Adaptive Whole-Brain Dynamics Predictive Method: Relevancy to Mental Disorders.Research (Washington, D.C.) · 2025Article
- Aberrant dynamic functional connectivity of thalamocortical circuitry in major depressive disorder.Journal of Zhejiang University. Science. B · 2024Article
- Aberrant brain entropy in posttraumatic stress disorder comorbid with major depressive disorder during the coronavirus disease 2019 pandemic.Frontiers in psychiatry · 2023Article
- Abnormal dynamic functional connectivity of thalamic subregions in patients with first-episode, drug-naïve major depressive disorder.Frontiers in psychiatry · 2023Article
- Individualized diagnosis of major depressive disorder via multivariate pattern analysis of thalamic sMRI features.BMC psychiatry · 2021Article
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9 authors.
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Abstract
purposeEntropy analysis of resting-state functional magnetic resonance imaging (R-fMRI) has recently been adopted to characterize brain temporal dynamics in some neuropsychological or psychiatric diseases. Thalamus-related dysfunction might be a potential trait marker of major depressive disorder (MDD), but the abnormal changes in the thalamus based on R-fMRI are still unclear from the perspective of brain temporal dynamics. The aim of this study was to identify local entropy changes and subregional connectivity patterns of the thalamus in MDD patients. PATIENTS AND
methodsWe measured the sample entropy of the R-fMRI data from 46 MDD patients and 32 matched healthy controls. We employed the Louvain method for the module detection algorithm to automatically identify a functional parcellation of the thalamus and then examined the whole-brain subregional connectivity patterns.
resultsThe results indicated that the MDD patients had decreased entropy in the bilateral thalami compared with healthy controls. Increased functional connectivity between the thalamic subregions and the medial part of the superior frontal gyrus (mSFG) was found in MDD patients.
conclusionThis study showed new evidence about sample entropy changes in MDD patients. The functional connectivity alterations that were widely distributed across almost all the thalamic subregions with the mSFG in MDD suggest a general involvement independent of the location and function of the subregions.
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