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Atrophy of the cholinergic regions advances from early to late mild cognitive impairment.
Lai, Ying-Liang Larry; Hsu, Fei-Ting; Yeh, Shu-Yi; Kuo, Yu-Tzu; Lin, Hui-Hsien; Lin, Yi-Chun; Kuo, Li-Wei; Chen, Cheng-Yu; Liu, Hua-Shan.
Affiliation
  • Lai YL; Ph.D. Program in Medical Neuroscience, College of Medical Science and Technology, Taipei Medical University and National Health Research Institutes, Taipei, Taiwan.
  • Hsu FT; Department of Biological Science and Technology, China Medical University, Taichung, Taiwan.
  • Yeh SY; School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan.
  • Kuo YT; School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan.
  • Lin HH; CT/MR Division, Rotary Trading CO., LTD, Taipei, Taiwan.
  • Lin YC; School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan.
  • Kuo LW; Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan.
  • Chen CY; Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan.
  • Liu HS; Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan. sandy0932@gmail.com.
Neuroradiology ; 66(4): 543-556, 2024 Apr.
Article in En | MEDLINE | ID: mdl-38240769
ABSTRACT

PURPOSE:

We investigated the volumetric changes in the components of the cholinergic pathway for patients with early mild cognitive impairment (EMCI) and those with late mild cognitive impairment (LMCI). The effect of patients' apolipoprotein 4 (APOE-ε4) allele status on the structural changes were analyzed.

METHODS:

Structural magnetic resonance imaging data were collected. Patients' demographic information, plasma data, and validated global cognitive composite scores were included. Relevant features were extracted for constructing machine learning models to differentiate between EMCI (n = 312) and LMCI (n = 541) and predict patients' neurocognitive function. The data were analyzed primarily through one-way analysis of variance and two-way analysis of covariance.

RESULTS:

Considerable differences were observed in cholinergic structural changes between patients with EMCI and LMCI. Cholinergic atrophy was more prominent in the LMCI cohort than in the EMCI cohort (P < 0.05 family-wise error corrected). APOE-ε4 differentially affected cholinergic atrophy in the LMCI and EMCI cohorts. For LMCI cohort, APOE-ε4 carriers exhibited increased brain atrophy (left amygdala P = 0.001; right amygdala P = 0.006, and right Ch123, P = 0.032). EMCI and LCMI patients showed distinctive associations of gray matter volumes in cholinergic regions with executive (R2 = 0.063 and 0.030 for EMCI and LMCI, respectively) and language (R2 = 0.095 and 0.042 for EMCI and LMCI, respectively) function.

CONCLUSIONS:

Our data confirmed significant cholinergic atrophy differences between early and late stages of mild cognitive impairment. The impact of the APOE-ε4 allele on cholinergic atrophy varied between the LMCI and EMCI groups.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease / Cognitive Dysfunction Type of study: Prognostic_studies Limits: Humans Language: En Journal: Neuroradiology Year: 2024 Document type: Article Affiliation country: Taiwan

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Alzheimer Disease / Cognitive Dysfunction Type of study: Prognostic_studies Limits: Humans Language: En Journal: Neuroradiology Year: 2024 Document type: Article Affiliation country: Taiwan