TY - JOUR
T1 - Association of cortical and subcortical microstructure with disease severity
T2 - impact on cognitive decline and language impairments in frontotemporal lobar degeneration
AU - for the Frontotemporal Lobar Degeneration Neuroimaging Initiative
AU - Ding, Wencai
AU - Ren, Peng
AU - Yi, Liye
AU - Si, Yao
AU - Yang, Fan
AU - Li, Zhipeng
AU - Bao, Hongbo
AU - Yan, Shi
AU - Zhang, Xinyu
AU - Li, Siyang
AU - Liang, Xia
AU - Yao, Lifen
AU - Rosen, Howard
AU - Dickerson, Bradford C.
AU - Domoto-Reilly, Kimoko
AU - Knopman, David
AU - Boeve, Bradley F.
AU - Boxer, Adam L.
AU - Kornak, John
AU - Miller, Bruce L.
AU - Seeley, William W.
AU - Gorno-Tempini, Maria Luisa
AU - McGinnis, Scott
AU - Mandelli, Maria Luisa
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - Background: Cortical and subcortical microstructural modifications are critical to understanding the pathogenic changes in frontotemporal lobar degeneration (FTLD) subtypes. In this study, we investigated cortical and subcortical microstructure underlying cognitive and language impairments across behavioral variant of frontotemporal dementia (bvFTD), semantic variant of primary progressive aphasia (svPPA), and nonfluent variant of primary progressive aphasia (nfvPPA) subtypes. Methods: The current study characterized 170 individuals with 3 T MRI structural and diffusion-weighted imaging sequences as portion of the Frontotemporal Lobar Degeneration Neuroimaging Initiative study: 41 bvFTD, 35 nfvPPA, 34 svPPA, and 60 age-matched cognitively unimpaired controls. To determine the severity of the disease, clinical dementia rating plus national Alzheimer’s coordinating center behavior and language domains sum of boxes scores were used; other clinical measures, including the Boston naming test and verbal fluency test, were also evaluated. We computed surface-based cortical thickness and cortical and subcortical microstructural metrics using tract-based spatial statistics and explored their relationships with clinical and cognitive assessments. Results: Compared with controls, those with FTLD showed substantial cortical mean diffusivity alterations extending outside the regions with cortical thinning. Tract-based spatial statistics revealed that anomalies in subcortical white matter diffusion were widely distributed across the frontotemporal and parietal areas. Patients with bvFTD, nfvPPA, and svPPA exhibited distinct patterns of cortical and subcortical microstructural abnormalities, which appeared to correlate with disease severity, and separate dimensions of language functions. Conclusions: Our findings imply that cortical and subcortical microstructures may serve as sensitive biomarkers for the investigation of neurodegeneration-associated microstructural alterations in FTLD subtypes. Graphical Abstract: Flowchart of the study design (see materials and methods for detailed description). [Figure not available: see fulltext.].
AB - Background: Cortical and subcortical microstructural modifications are critical to understanding the pathogenic changes in frontotemporal lobar degeneration (FTLD) subtypes. In this study, we investigated cortical and subcortical microstructure underlying cognitive and language impairments across behavioral variant of frontotemporal dementia (bvFTD), semantic variant of primary progressive aphasia (svPPA), and nonfluent variant of primary progressive aphasia (nfvPPA) subtypes. Methods: The current study characterized 170 individuals with 3 T MRI structural and diffusion-weighted imaging sequences as portion of the Frontotemporal Lobar Degeneration Neuroimaging Initiative study: 41 bvFTD, 35 nfvPPA, 34 svPPA, and 60 age-matched cognitively unimpaired controls. To determine the severity of the disease, clinical dementia rating plus national Alzheimer’s coordinating center behavior and language domains sum of boxes scores were used; other clinical measures, including the Boston naming test and verbal fluency test, were also evaluated. We computed surface-based cortical thickness and cortical and subcortical microstructural metrics using tract-based spatial statistics and explored their relationships with clinical and cognitive assessments. Results: Compared with controls, those with FTLD showed substantial cortical mean diffusivity alterations extending outside the regions with cortical thinning. Tract-based spatial statistics revealed that anomalies in subcortical white matter diffusion were widely distributed across the frontotemporal and parietal areas. Patients with bvFTD, nfvPPA, and svPPA exhibited distinct patterns of cortical and subcortical microstructural abnormalities, which appeared to correlate with disease severity, and separate dimensions of language functions. Conclusions: Our findings imply that cortical and subcortical microstructures may serve as sensitive biomarkers for the investigation of neurodegeneration-associated microstructural alterations in FTLD subtypes. Graphical Abstract: Flowchart of the study design (see materials and methods for detailed description). [Figure not available: see fulltext.].
KW - Biomarker
KW - Diffusion
KW - Fractional anisotropy
KW - Frontotemporal lobar degeneration
KW - Mean diffusivity
KW - Microstructure
UR - https://www.scopus.com/pages/publications/85150751184
U2 - 10.1186/s13195-023-01208-7
DO - 10.1186/s13195-023-01208-7
M3 - 文章
C2 - 36941645
AN - SCOPUS:85150751184
SN - 1758-9193
VL - 15
JO - Alzheimer's Research and Therapy
JF - Alzheimer's Research and Therapy
IS - 1
M1 - 58
ER -