Identification of metabolic correlates of mild cognitive impairment in Parkinson's disease using magnetic resonance spectroscopic imaging and machine learning
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE, cilt.35, sa.6, ss.997-1008, 2022 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 35 Sayı: 6
- Basım Tarihi: 2022
- Doi Numarası: 10.1007/s10334-022-01030-6
- Dergi Adı: MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, INSPEC, MEDLINE
- Sayfa Sayıları: ss.997-1008
- Anahtar Kelimeler: Magnetic resonance spectroscopy, Parkinson's disease, Cognitive dysfunction, Machine learning, POSTERIOR CINGULATE CORTEX, NONDEMENTED PATIENTS, DIAGNOSTIC-CRITERIA, DEMENTIA, MOVEMENT, CONNECTIVITY, NETWORKS, HYPOPERFUSION, ASSOCIATIONS, ROBUST
- İstanbul Üniversitesi Adresli: Evet
Özet
Objective To investigate metabolic changes of mild cognitive impairment in Parkinson's disease (PD-MCI) using proton magnetic resonance spectroscopic imaging (H-1-MRSI). Methods Sixteen healthy controls (HC), 26 cognitively normal Parkinson's disease (PD-CN) patients, and 34 PD-MCI patients were scanned in this prospective study. Neuropsychological tests were performed, and three-dimensional H-1-MRSI was obtained at 3 T. Metabolic parameters and neuropsychological test scores were compared between PD-MCI, PD-CN, and HC. The correlations between neuropsychological test scores and metabolic intensities were also assessed. Supervised machine learning algorithms were applied to classify HC, PD-CN, and PD-MCI groups based on metabolite levels. Results PD-MCI had a lower corrected total N-acetylaspartate over total creatine ratio (tNAA/tCr) in the right precentral gyrus, corresponding to the sensorimotor network (p = 0.01), and a lower tNAA over myoinositol ratio (tNAA/mI) at a part of the default mode network, corresponding to the retrosplenial cortex (p = 0.04) than PD-CN. The HC and PD-MCI patients were classified with an accuracy of 86.4% (sensitivity = 72.7% and specificity = 81.8%) using bagged trees. Conclusion H-1-MRSI revealed metabolic changes in the default mode, ventral attention/salience, and sensorimotor networks of PD-MCI patients, which could be summarized mainly as 'posterior cortical metabolic changes' related with cognitive dysfunction.