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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Aberrant Brain Triple-Network Effective Connectivity Patterns in Type 2 Diabetes Mellitus
Yujie Zhang1, Xiao Yin2, Yu-Chen Chen1
1Department of Radiology, Nanjing First Hospital, Nanjing Medical University, No.68, Changle Road, Nanjing, 210006, China.
Summary
Type 2 diabetes (T2DM) patients show altered brain network connectivity, impacting cognitive function. These findings reveal neurological mechanisms underlying T2DM-related cognitive decline.
Area of Science:
- Neuroscience
- Medical Imaging
- Endocrinology
Background:
- Type 2 diabetes mellitus (T2DM) is associated with cognitive impairment.
- Aberrant brain functional connectivity is implicated in T2DM-related cognitive deficits.
Purpose of the Study:
- Investigate triple-network effective connectivity patterns in T2DM patients.
- Examine connectivity within and between the default mode network (DMN), salience network (SN), and executive control network (ECN).
- Correlate connectivity alterations with cognitive decline and clinical parameters.
Main Methods:
- Recruited 92 T2DM patients and 98 healthy controls (HCs).
- Utilized resting-state functional magnetic resonance imaging (rs-fMRI) and spectral dynamic causal modeling (spDCM).
- Analyzed effective connectivity within the DMN, SN, and ECN using key brain regions.
Main Results:
- T2DM patients displayed altered effective connectivity within the triple-network compared to HCs.
- Diabetes duration negatively correlated with specific r-LPFC to mPFC connectivity.
- Body mass index (BMI) positively correlated with specific l-LPFC to l-AINS connectivity.
Conclusions:
- Abnormal effective connectivity patterns exist within the triple-network model in T2DM.
- Findings offer insights into the neurological underpinnings of cognitive dysfunction in T2DM.
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