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Updated: Jul 8, 2025

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
Published on: August 7, 2017
Altered functional connectivity during visual working memory state in patients with mild cognitive impairment
Mild cognitive impairment (MCI) patients show altered brainwave activity and network patterns during working memory tasks. These EEG changes, particularly in the θ frequency band, may indicate underlying neural mechanisms of memory deficits.
Area of Science:
- Neuroscience
- Cognitive Science
- Medical Imaging
Background:
- Mild cognitive impairment (MCI) is characterized by significant memory deficits, particularly in working memory.
- Understanding the neural basis of working memory (WM) dysfunction in MCI is crucial for early diagnosis and intervention.
Purpose of the Study:
- To investigate the electroencephalogram (EEG) power spectral density and large-scale network patterns during visual working memory coding in individuals with MCI compared to normal controls (NC).
- To identify distinct brain activity and connectivity differences associated with WM deficits in MCI.
Main Methods:
- Utilized Electroencephalogram (EEG) recordings to analyze power spectral density and large-scale network connectivity.
- Compared brain activity and network patterns during visual working memory tasks between MCI patients and NC.
Main Results:
- MCI patients exhibited significant θ frequency band synchronization in the left/right prefrontal and central regions, and desynchronization in the left temporal lobe compared to NC.
- Brain network analysis revealed reduced top-down (frontal to parietal) connectivity and increased bottom-up (frontal to occipital) information flow in MCI during WM coding.
Conclusions:
- Abnormal EEG rhythms and altered brain region connectivity are potential indicators of working memory disorders in MCI.
- These findings offer new insights into the neural mechanisms underlying WM impairments in MCI patients.
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