Pathogenic Factors Identification of Brain Imaging and Gene in Late Mild Cognitive Impairment

Xia-An Bi1,2, Lou Li3,4, Ruihui Xu3,4

  • 1Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, People's Republic of China. bixiaan@hnu.edu.cn.

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.