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Pathogenic Factors Identification of Brain Imaging and Gene in Late Mild Cognitive Impairment
Abstract:
Mild cognitive impairment (MCI) is a dangerous signal of severe cognitive decline. It can be separated into two steps: early MCI (EMCI) and late MCI (LMCI). As the post-state of MCI and pre-state of Alzheimer's disease (AD), LMCI receives insufficient attention in the field of brain science, causing the internal mechanism of LMCI has not been well understood. To better explore the focus and pathological mechanism of LMCI, a method called genetic evolved random forest (GERF) is applied. Resting functional magnetic resonance imaging (rfMRI) and gene data are obtained from 62 subjects (36 LMCI and 26 normal controls), and Pearson correlation analysis is adopted to perform the multimodal fusion of two types of data to construct fusion features. We identified pathogenic brain regions and genes that are highly related to LMCI using GERF and achieves a good effect. Compared with the normal control (NC) group, the abnormal brain regions of LMCI are PUT.L, PreCG.L, IFGtriang.R, REC.R, DCG.R, PoCG.L, and HES.L, and the pathogenic genes are FHIT, RF00019, FRMD4A, PTPRD, and RBFOX1. More importantly, most of these risk genes and abnormal brain regions have been confirmed to be related to AD and MCI in previous studies. In this study, we mapped them to LMCI with higher accuracies, so as to provide a more robust understanding of the physiological mechanism of MCI.
Insights
Late mild cognitive impairment (LMCI) is a critical precursor to Alzheimer's disease. This study identified specific brain regions and genes linked to LMCI, offering new insights into its pathological mechanisms.
Area of Science:
- Neuroscience
- Genetics
- Brain Imaging
Background:
- Mild cognitive impairment (MCI) progresses to severe cognitive decline and Alzheimer's disease (AD).
- Late mild cognitive impairment (LMCI), a stage between MCI and AD, is understudied, hindering understanding of its mechanisms.
- Identifying specific brain regions and genes associated with LMCI is crucial for early detection and intervention.
Purpose of the Study:
- To explore the pathological mechanisms of LMCI.
- To identify key brain regions and genes associated with LMCI using a multimodal approach.
- To enhance understanding of LMCI as a precursor to Alzheimer's disease.
Main Methods:
- Utilized genetic evolved random forest (GERF) for data analysis.
- Integrated resting functional magnetic resonance imaging (rfMRI) and gene data from 62 subjects (36 LMCI, 26 controls).
- Employed Pearson correlation analysis for multimodal data fusion to construct integrated features.
Main Results:
- Identified specific abnormal brain regions in LMCI: PUT.L, PreCG.L, IFGtriang.R, REC.R, DCG.R, PoCG.L, and HES.L.
- Identified pathogenic genes associated with LMCI: FHIT, RF00019, FRMD4A, PTPRD, and RBFOX1.
- Confirmed that most identified risk genes and brain regions are previously linked to AD and MCI, with higher accuracy for LMCI in this study.
Conclusions:
- The study successfully identified brain regions and genes implicated in the pathological mechanisms of LMCI.
- Findings provide a more robust understanding of LMCI's physiological mechanisms, potentially aiding in early AD detection.
- Highlights the importance of studying LMCI as a critical transitional stage in cognitive decline.
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