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Microstructural white matter alterations in Alzheimer's disease and amnestic mild cognitive impairment and its diagnostic value based on diffusion kurtosis imaging: a tract-based spatial statistics study.
Li, Tongtong; Zhang, Yu; Fu, Xiuwei; Zhang, Xianchang; Luo, Yuan; Ni, Hongyan.
Afiliación
  • Li T; First Central Clinical College, Tianjin Medical University, Tianjin, 300192, China.
  • Zhang Y; First Central Clinical College, Tianjin Medical University, Tianjin, 300192, China.
  • Fu X; Tianjin Medical University General Hospital, Tianjin, 300052, China.
  • Zhang X; MR Collaboration, Siemens Healthcare Ltd., Beijing, China.
  • Luo Y; Department of Radiology, China-Japan Friendship Hospital, Beijing, 100029, China.
  • Ni H; Department of Radiology, Tianjin First Central Hospital, Tianjin, 300192, China. hongyni@163.com.
Brain Imaging Behav ; 16(1): 31-42, 2022 Feb.
Article en En | MEDLINE | ID: mdl-33895943
This prospective study aimed to explore the white matter microstructural alterations in Alzheimer's disease (AD) and amnestic mild cognitive impairment (aMCI) using the Tract-based Spatial Statistics (TBSS) method of diffusion kurtosis imaging (DKI).Diffusion images were collected from 45 AD patients, 42 aMCI patients, and 35 healthy controls (HC). The differences of DKI-derived parameters, including kurtosis fractional anisotropy (KFA), mean kurtosis (MK), fractional anisotropy (FA), and mean diffusivity (MD), were compared across the three groups using the TBSS method. Correlation between the altered DKI-derived parameters and the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores were analyzed. A receiver operating characteristic curve (ROC) was used to evaluate the diagnostic performance of different white matter parameters with the strongest correlations. As a result, compared with the HC group, KFA values decreased significantly in the aMCI group. Compared with both the HC and aMCI groups, the FA, KFA, and MK values decreased significantly and the MD value increased significantly in the AD group. FA, MD, KFA, and MK values of many white matter fiber tracts were significantly correlated with MMSE and MoCA scores. The area under the ROC curve (AUC) for the splenium of corpus callosum KFA values were highest for the diagnosis of aMCI and AD patients. In conclusion, the compactness and complexity of white matter microstructures were reduced in AD and aMCI patients. DKI can provide information about the severity of AD progression, and KFA might be more sensitive for the detection of white matter microstructural alterations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva / Sustancia Blanca Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Brain Imaging Behav Asunto de la revista: CEREBRO / CIENCIAS DO COMPORTAMENTO / DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva / Sustancia Blanca Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Brain Imaging Behav Asunto de la revista: CEREBRO / CIENCIAS DO COMPORTAMENTO / DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos