Your browser doesn't support javascript.
loading
Assessing cognitive impairment and disability in older adults through the lens of whole brain white matter patterns.
Roh, Hyun Woong; Chauhan, Nishant; Seo, Sang Won; Choi, Seong Hye; Kim, Eun-Joo; Cho, Soo Hyun; Kim, Byeong C; Choi, Jin Wook; An, Young-Sil; Park, Bumhee; Lee, Sun Min; Moon, So Young; Nam, You Jin; Hong, Sunhwa; Son, Sang Joon; Hong, Chang Hyung; Lee, Dongha.
Afiliación
  • Roh HW; Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Chauhan N; Cognitive Science Research Group, Korea Brain Research Institute, Daegu, Republic of Korea.
  • Seo SW; Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Choi SH; Department of Neurology, Inha University School of Medicine, Incheon, Republic of Korea.
  • Kim EJ; Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea.
  • Cho SH; Department of Neurology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, Republic of Korea.
  • Kim BC; Department of Neurology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, Republic of Korea.
  • Choi JW; Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • An YS; Department of Nuclear Medicine and Molecular Imaging, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Park B; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Lee SM; Office of Biostatistics, Ajou Research Institute for Innovative Medicine, Ajou University Medical Center, Suwon, Republic of Korea.
  • Moon SY; Department of Neurology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Nam YJ; Department of Neurology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Hong S; Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Son SJ; Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Hong CH; Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Lee D; Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
Alzheimers Dement ; 20(9): 6032-6044, 2024 Sep.
Article en En | MEDLINE | ID: mdl-39001624
ABSTRACT

INTRODUCTION:

This 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.

METHODS:

We 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).

RESULTS:

The 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.

DISCUSSION:

Our 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.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Biomarcadores / Tomografía de Emisión de Positrones / Disfunción Cognitiva / Sustancia Blanca Límite: Aged / Aged80 / Female / Humans / Male Idioma: En Revista: Alzheimers Dement Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Biomarcadores / Tomografía de Emisión de Positrones / Disfunción Cognitiva / Sustancia Blanca Límite: Aged / Aged80 / Female / Humans / Male Idioma: En Revista: Alzheimers Dement Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos