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Related Concept Videos

Brain Imaging01:14

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
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Related Experiment Video

Updated: Apr 20, 2026

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
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Depression, neuroimaging and connectomics: a selective overview.

Qiyong Gong1, Yong He2

  • 1Huaxi Magnetic Resonance Research Center, Department of Radiology, Center for Medical Imaging, West China Hospital of Sichuan University, Chengdu, China; Department of Psychiatry , Yale University School of Medicine, New Haven, Connecticut; Department of Psychiatry, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu.

Biological Psychiatry
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Summary

Depression involves abnormal brain network organization, impacting mood and cognition. Brain imaging connectomics offers insights into depression

Keywords:
ConnectivityConnectomeGraph theoryHubMood disorderNetworkRich club

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Depression is a complex disorder with mood and cognitive disturbances.
  • Neuroimaging reveals structural and functional brain abnormalities in depression.
  • Brain connectomics, using graph theory, identifies disrupted network organization.

Purpose of the Study:

  • To summarize current findings on structural and functional connectomes in depression.
  • To review graph analyses of depressive brain networks.
  • To discuss methodological challenges and future research directions.

Main Methods:

  • Review of noninvasive neuroimaging studies.
  • Application of graph theory to analyze brain network topology.
  • Focus on large-scale functional and structural brain networks.

Main Results:

  • Disrupted topological organization (global, modular, hubs) in depression networks.
  • System-level disruptions correlate with genetic and environmental factors.
  • Pathologic networks may serve as biomarkers for early detection and treatment.

Conclusions:

  • Connectome-based imaging offers new perspectives on depression pathogenesis and treatment.
  • Understanding network disruptions aids in identifying therapeutic targets.
  • Addressing methodological inconsistencies is crucial for future research.