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Related Concept Videos

Electroconvulsive Therapy01:30

Electroconvulsive Therapy

695
Electroconvulsive therapy (ECT), or shock therapy, remains a critical biomedical intervention for severe, treatment-resistant depression. While its origins can be traced back to Hippocrates' observations that malaria-induced convulsions alleviated mental illness, modern ECT has evolved significantly from its earlier, more primitive applications. First introduced in 1938 by Ugo Cerletti and his colleagues, ECT involves inducing controlled seizures using electrical currents. In its early...
695
Brain Imaging01:14

Brain Imaging

600
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.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Related Experiment Video

Updated: Dec 31, 2025

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
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Electroconvulsive therapy treatment responsive multimodal brain networks.

Shile Qi1, Christopher C Abbott2, Katherine L Narr3

  • 1Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University], Atlanta, Georgia.

Human Brain Mapping
|January 7, 2020
PubMed
Summary
This summary is machine-generated.

Electroconvulsive therapy (ECT) effectively treats severe depression by remodeling brain networks. This study identified specific functional and structural brain changes linked to ECT

Keywords:
depressive episodeselectroconvulsive therapymultimodal fusiontreatment response

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Electroconvulsive therapy (ECT) is a highly effective treatment for severe and treatment-resistant depression.
  • The precise neurobiological mechanisms driving ECT's antidepressant effects are not fully understood.
  • Identifying reliable biomarkers for ECT response is crucial for optimizing treatment.

Purpose of the Study:

  • To identify multimodal biomarkers responsive to electroconvulsive therapy (ECT) in patients with depressive episodes.
  • To investigate brain structure-function covariance patterns associated with ECT-induced antidepressant effects.
  • To differentiate ECT response biomarkers from those related to cognitive changes, specifically memory.

Main Methods:

  • Utilized a brain structure-function fusion approach guided by the 17-item Hamilton Depression Rating Scale.
  • Analyzed functional (low-frequency fluctuations) and structural (gray matter volume) data in 118 patients and 60 controls.
  • Employed a data-driven, supervised-learning method to identify treatment-responsive network changes.

Main Results:

  • Reduced fractional amplitude of low-frequency fluctuations in the prefrontal cortex, insula, and hippocampus were observed.
  • Increased gray matter volume in the anterior cingulate, medial temporal cortex, insula, thalamus, caudate, and hippocampus were identified.
  • Responder-specific frontal-limbic network changes correlated with successful therapeutic outcomes and were independent of memory impairment.

Conclusions:

  • Electroconvulsive therapy (ECT) induces significant, unique remodeling of brain functional and structural covariance networks.
  • These network changes are specifically linked to antidepressant symptom response, not memory impairment.
  • The identified multimodal biomarkers offer insights into ECT's mechanism of action for depression treatment.