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Graph Analysis of Functional Brain Topology Using Minimum Spanning Tree in Subjective Cognitive Decline
Shuhua Ren1, Jingchao Hu2,3, Lin Huang2
1PET Center, Huashan Hospital, Fudan University, Shanghai, China.
Subjective cognitive decline (SCD) shows preserved brain network efficiency and volume, but increased anxiety and depression. Language and execution abilities correlate with brain function in individuals with SCD.
Area of Science:
- Neuroscience
- Neurology
- Psychiatry
Background:
- Subjective cognitive decline (SCD) is a potential early indicator for Alzheimer's disease (AD).
- Understanding the neuromechanisms of SCD is crucial for AD pathogenesis research.
Purpose of the Study:
- To investigate brain network topologies in individuals with SCD.
- To explore the neuromechanisms underlying SCD and its relationship with early AD indicators.
Main Methods:
- Resting-state BOLD-fMRI and clinical assessments were used on cognitively unimpaired subjects.
- Subjects were classified into SCD and normal control (NC) groups.
- Minimum spanning tree (MST) analysis explored brain network efficiency and centrality; hippocampal/parahippocampal volumes were measured.
Main Results:
- Brain network efficiency, centrality, and hippocampal/parahippocampal volumes were preserved in the SCD group.
- SCD individuals had normal cognitive functions but elevated levels of depression and anxiety.
- Language and execution, not memory, positively correlated with brain network centrality and hippocampal volume.
Conclusions:
- Subjective cognitive decline (SCD) is characterized by preserved brain organization efficiency and centrality.
- Clinical attention should be directed towards language, execution, depression, and anxiety in individuals with SCD.
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