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Structural and microstructural thalamocortical network disruption in sporadic behavioural variant frontotemporal dementia

BACKGROUND: Using multi-block methods we combined multimodal neuroimaging metrics of thalamic morphology, thalamic white matter tract diffusion metrics, and cortical thickness to examine changes in behavioural variant frontotemporal dementia. (bvFTD). METHOD: Twenty-three patients with sporadic bvFT...

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Autores principales: Jakabek, David, Power, Brian D., Spotorno, Nicola, Macfarlane, Matthew D., Walterfang, Mark, Velakoulis, Dennis, Nilsson, Christer, Waldö, Maria Landqvist, Lätt, Jimmy, Nilsson, Markus, van Westen, Danielle, Lindberg, Olof, Looi, Jeffrey C.L., Santillo, Alexander F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371821/
https://www.ncbi.nlm.nih.gov/pubmed/37473493
http://dx.doi.org/10.1016/j.nicl.2023.103471
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author Jakabek, David
Power, Brian D.
Spotorno, Nicola
Macfarlane, Matthew D.
Walterfang, Mark
Velakoulis, Dennis
Nilsson, Christer
Waldö, Maria Landqvist
Lätt, Jimmy
Nilsson, Markus
van Westen, Danielle
Lindberg, Olof
Looi, Jeffrey C.L.
Santillo, Alexander F.
author_facet Jakabek, David
Power, Brian D.
Spotorno, Nicola
Macfarlane, Matthew D.
Walterfang, Mark
Velakoulis, Dennis
Nilsson, Christer
Waldö, Maria Landqvist
Lätt, Jimmy
Nilsson, Markus
van Westen, Danielle
Lindberg, Olof
Looi, Jeffrey C.L.
Santillo, Alexander F.
author_sort Jakabek, David
collection PubMed
description BACKGROUND: Using multi-block methods we combined multimodal neuroimaging metrics of thalamic morphology, thalamic white matter tract diffusion metrics, and cortical thickness to examine changes in behavioural variant frontotemporal dementia. (bvFTD). METHOD: Twenty-three patients with sporadic bvFTD and 24 healthy controls underwent structural and diffusion MRI scans. Clinical severity was assessed using the Clinical Dementia Rating scale and behavioural severity using the Frontal Behaviour Inventory by patient caregivers. Thalamic volumes were manually segmented. Anterior and posterior thalamic radiation fractional anisotropy and mean diffusivity were extracted using Tract-Based Spatial Statistics. Finally, cortical thickness was assessed using Freesurfer. We used shape analyses, diffusion measures, and cortical thickness as features in sparse multi-block partial least squares (PLS) discriminatory analyses to classify participants within bvFTD or healthy control groups. Sparsity was tuned with five-fold cross-validation repeated 10 times. Final model fit was assessed using permutation testing. Additionally, sparse multi-block PLS was used to examine associations between imaging features and measures of dementia severity. RESULTS: Bilateral anterior-dorsal thalamic atrophy, reduction in mean diffusivity of thalamic projections, and frontotemporal cortical thinning, were the main features predicting bvFTD group membership. The model had a sensitivity of 96%, specificity of 68%, and was statistically significant using permutation testing (p = 0.012). For measures of dementia severity, we found similar involvement of regional thalamic and cortical areas as in discrimination analyses, although more extensive thalamo-cortical white matter metric changes. CONCLUSIONS: Using multimodal neuroimaging, we demonstrate combined structural network dysfunction of anterior cortical regions, cortical-thalamic projections, and anterior thalamic regions in sporadic bvFTD.
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spelling pubmed-103718212023-07-28 Structural and microstructural thalamocortical network disruption in sporadic behavioural variant frontotemporal dementia Jakabek, David Power, Brian D. Spotorno, Nicola Macfarlane, Matthew D. Walterfang, Mark Velakoulis, Dennis Nilsson, Christer Waldö, Maria Landqvist Lätt, Jimmy Nilsson, Markus van Westen, Danielle Lindberg, Olof Looi, Jeffrey C.L. Santillo, Alexander F. Neuroimage Clin Regular Article BACKGROUND: Using multi-block methods we combined multimodal neuroimaging metrics of thalamic morphology, thalamic white matter tract diffusion metrics, and cortical thickness to examine changes in behavioural variant frontotemporal dementia. (bvFTD). METHOD: Twenty-three patients with sporadic bvFTD and 24 healthy controls underwent structural and diffusion MRI scans. Clinical severity was assessed using the Clinical Dementia Rating scale and behavioural severity using the Frontal Behaviour Inventory by patient caregivers. Thalamic volumes were manually segmented. Anterior and posterior thalamic radiation fractional anisotropy and mean diffusivity were extracted using Tract-Based Spatial Statistics. Finally, cortical thickness was assessed using Freesurfer. We used shape analyses, diffusion measures, and cortical thickness as features in sparse multi-block partial least squares (PLS) discriminatory analyses to classify participants within bvFTD or healthy control groups. Sparsity was tuned with five-fold cross-validation repeated 10 times. Final model fit was assessed using permutation testing. Additionally, sparse multi-block PLS was used to examine associations between imaging features and measures of dementia severity. RESULTS: Bilateral anterior-dorsal thalamic atrophy, reduction in mean diffusivity of thalamic projections, and frontotemporal cortical thinning, were the main features predicting bvFTD group membership. The model had a sensitivity of 96%, specificity of 68%, and was statistically significant using permutation testing (p = 0.012). For measures of dementia severity, we found similar involvement of regional thalamic and cortical areas as in discrimination analyses, although more extensive thalamo-cortical white matter metric changes. CONCLUSIONS: Using multimodal neuroimaging, we demonstrate combined structural network dysfunction of anterior cortical regions, cortical-thalamic projections, and anterior thalamic regions in sporadic bvFTD. Elsevier 2023-07-11 /pmc/articles/PMC10371821/ /pubmed/37473493 http://dx.doi.org/10.1016/j.nicl.2023.103471 Text en © 2023 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Jakabek, David
Power, Brian D.
Spotorno, Nicola
Macfarlane, Matthew D.
Walterfang, Mark
Velakoulis, Dennis
Nilsson, Christer
Waldö, Maria Landqvist
Lätt, Jimmy
Nilsson, Markus
van Westen, Danielle
Lindberg, Olof
Looi, Jeffrey C.L.
Santillo, Alexander F.
Structural and microstructural thalamocortical network disruption in sporadic behavioural variant frontotemporal dementia
title Structural and microstructural thalamocortical network disruption in sporadic behavioural variant frontotemporal dementia
title_full Structural and microstructural thalamocortical network disruption in sporadic behavioural variant frontotemporal dementia
title_fullStr Structural and microstructural thalamocortical network disruption in sporadic behavioural variant frontotemporal dementia
title_full_unstemmed Structural and microstructural thalamocortical network disruption in sporadic behavioural variant frontotemporal dementia
title_short Structural and microstructural thalamocortical network disruption in sporadic behavioural variant frontotemporal dementia
title_sort structural and microstructural thalamocortical network disruption in sporadic behavioural variant frontotemporal dementia
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371821/
https://www.ncbi.nlm.nih.gov/pubmed/37473493
http://dx.doi.org/10.1016/j.nicl.2023.103471
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