Assessing cognitive impairment and disability in older adults through the lens of whole brain white matter patterns

被引：1

作者：

Roh, Hyun Woong ^{[1
]}

Chauhan, Nishant ^{[2
]}

Seo, Sang Won ^{[3
]}

Choi, Seong Hye ^{[4
]}

Kim, Eun-Joo ^{[5
]}

Cho, Soo Hyun ^{[6
]}

Kim, Byeong C. ^{[6
]}

Choi, Jin Wook ^{[7
]}

An, Young-Sil ^{[8
]}

Park, Bumhee ^{[9
,10
]}

Lee, Sun Min ^{[11
]}

Nam, You Jin ^{[1
]}

Moon, So Young ^{[11
]}

Hong, Sunhwa ^{[1
]}

Son, Sang Joon ^{[1
]}

Hong, Chang Hyung ^{[1
]}

Lee, Dongha ^{[2
]}

机构：

[1] Ajou Univ, Sch Med, Dept Psychiat, 164 Worldcup ro, Suwon 441749, South Korea

[2] Korea Brain Res Inst, Cognit Sci Res Grp, 61 Cheomdan ro, Daegu 41062, South Korea

[3] Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Neurol, Seoul, South Korea

[4] Inha Univ, Sch Med, Dept Neurol, Incheon, South Korea

[5] Pusan Natl Univ, Pusan Natl Univ Hosp, Sch Med & Med Res Inst, Dept Neurol, Busan, South Korea

[6] Chonnam Natl Univ, Chonnam Natl Univ Hosp, Dept Neurol, Med Sch, Gwangju, South Korea

[7] Ajou Univ, Sch Med, Dept Radiol, Suwon, South Korea

[8] Ajou Univ, Dept Nucl Med & Mol Imaging, Sch Med, Suwon, South Korea

[9] Ajou Univ, Sch Med, Dept Biomed Informat, Suwon, South Korea

[10] Ajou Univ, Ajou Res Inst Innovat Med, Off Biostat, Med Ctr, Suwon, South Korea

[11] Ajou Univ, Sch Med, Dept Neurol, Suwon, South Korea

来源：

ALZHEIMERS & DEMENTIA | 2024年 / 20卷 / 09期

基金：

新加坡国家研究基金会;

关键词：

cognitive impairment; functional disability; MRI and PET imaging; neurodegeneration; white matter pattern; ALZHEIMERS-DISEASE; INSTRUMENTAL ACTIVITIES; DEMENTIA; BIOMARKERS;

D O I：

10.1002/alz.14094

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

INTRODUCTIONThis study aimed to explore the potential of whole brain white matter patterns as novel neuroimaging biomarkers for assessing cognitive impairment and disability in older adults.METHODSWe conducted an in-depth analysis of magnetic resonance imaging (MRI) and amyloid positron emission tomography (PET) scans in 454 participants, focusing on white matter patterns and white matter inter-subject variability (WM-ISV).RESULTSThe white matter pattern ensemble model, combining MRI and amyloid PET, demonstrated a significantly higher classification performance for cognitive impairment and disability. Participants with Alzheimer's disease (AD) exhibited higher WM-ISV than participants with subjective cognitive decline, mild cognitive impairment, and vascular dementia. Furthermore, WM-ISV correlated significantly with blood-based biomarkers (such as glial fibrillary acidic protein and phosphorylated tau-217 [p-tau217]), and cognitive function and disability scores.DISCUSSIONOur results suggest that white matter pattern analysis has significant potential as an adjunct neuroimaging biomarker for clinical decision-making and determining cognitive impairment and disability.Highlights The ensemble model combined both magnetic resonance imaging (MRI) and amyloid positron emission tomography (PET) and demonstrated a significantly higher classification performance for cognitive impairment and disability. Alzheimer's disease (AD) revealed a notably higher heterogeneity compared to that in subjective cognitive decline, mild cognitive impairment, or vascular dementia. White matter inter-subject variability (WM-ISV) was significantly correlated with blood-based biomarkers (glial fibrillary acidic protein and phosphorylated tau-217 [p-tau217]) and with the polygenic risk score for AD. White matter pattern analysis has significant potential as an adjunct neuroimaging biomarker for clinical decision-making processes and determining cognitive impairment and disability.

引用

页码：6032 / 6044

页数：13

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