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Consistent Brain Entropy Changes During Rumination Across Three Magnetic Resonance Imaging Scanners
Jue Lu1, Donghui Song2, Da Chang3
1School of Mathematics, Physics and Information Science, Shaoxing University, Shaoxing, 312000, China, usx.edu.cn.
Repetitive rumination involves altered local brain activity, specifically decreased brain entropy (BEN) in visual areas and increased BEN in self-referential regions. This neuroimaging approach offers insights into depression mechanisms.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Psychiatry
Background:
- Rumination, repetitive self-referential thinking, is linked to depression and psychiatric disorders.
- Previous research often used task activation or network-level analyses, missing local brain activity dynamics during rumination.
Purpose of the Study:
- To investigate local brain activity patterns during rumination using brain entropy (BEN).
- To explore the neural mechanisms underlying rumination and its relation to cognitive states.
Main Methods:
- Utilized functional magnetic resonance imaging (fMRI) to measure brain entropy (BEN), quantifying local brain activity complexity.
- Analyzed data from 41 healthy adults across three scanners under resting state, sad memory, rumination, and distraction conditions.
- Conducted voxel-wise BEN analyses to identify significant condition-related differences in brain regions.
Main Results:
- Rumination showed decreased BEN in the visual cortex (VC) compared to sad memory.
- Distraction exhibited decreased BEN in the posterior cingulate cortex/precuneus (PCC/PCu).
- Rumination demonstrated increased BEN in the PCC/PCu relative to distraction, indicating heightened temporal irregularity in self-referential processing regions.
Conclusions:
- Brain entropy (BEN) effectively reveals distinct neural signatures of cognitive states.
- Rumination is characterized by increased temporal complexity in self-referential brain regions and reduced engagement with external information.
- Findings support the utility of BEN for understanding rumination and developing neuroimaging biomarkers for depression.
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