Behavioral Reserve in Behavioral Variant Frontotemporal Dementia

“Reserve” refers to the individual clinical differences in response to a neuropathological burden. We explored the behavioral reserve (BR) and associated neural substrates in 40 participants with behavioral variant frontotemporal dementia (bvFTD) who were assessed with the frontal behavioral invento...

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Main Authors: Su Hong Kim, Yae Ji Kim, Byung Hwa Lee, Peter Lee, Ji Hyung Park, Sang Won Seo, Yong Jeong
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2022.875589/full
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author Su Hong Kim
Su Hong Kim
Yae Ji Kim
Yae Ji Kim
Byung Hwa Lee
Byung Hwa Lee
Byung Hwa Lee
Peter Lee
Ji Hyung Park
Sang Won Seo
Sang Won Seo
Sang Won Seo
Sang Won Seo
Sang Won Seo
Yong Jeong
Yong Jeong
Yong Jeong
Yong Jeong
author_facet Su Hong Kim
Su Hong Kim
Yae Ji Kim
Yae Ji Kim
Byung Hwa Lee
Byung Hwa Lee
Byung Hwa Lee
Peter Lee
Ji Hyung Park
Sang Won Seo
Sang Won Seo
Sang Won Seo
Sang Won Seo
Sang Won Seo
Yong Jeong
Yong Jeong
Yong Jeong
Yong Jeong
author_sort Su Hong Kim
collection DOAJ
description “Reserve” refers to the individual clinical differences in response to a neuropathological burden. We explored the behavioral reserve (BR) and associated neural substrates in 40 participants with behavioral variant frontotemporal dementia (bvFTD) who were assessed with the frontal behavioral inventory (FBI) and magnetic resonance imaging. Because neuroimaging abnormality showed a high negative correlation with the FBI negative (but not positive) symptom scores, we developed a linear model only to calculate the nBR (BR for negative symptoms) marker using neuroimaging abnormalities and the FBI score. Participants were divided into high nBR and low nBR groups based on the nBR marker. The FBI negative symptom score was lower in the high nBR group than in the low nBR group having the same neuroimaging abnormalities. However, the high nBR group noted a steeper decline in cortical atrophy and showed less atrophy in the left frontotemporal cortices than the low nBR group. In addition, the fractional anisotropy (FA) values were greater in the high nBR than in the low nBR group, except in the sensory-motor and occipital areas. We identified an nBR-related functional network composed of bilateral frontotemporal areas and the left occipital pole. We propose the concept of BR in bvFTD, and these findings can help predict the disease progression.
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spelling doaj.art-d102df65b97b435fb460b61e3df1d6e72022-12-22T00:18:30ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652022-06-011410.3389/fnagi.2022.875589875589Behavioral Reserve in Behavioral Variant Frontotemporal DementiaSu Hong Kim0Su Hong Kim1Yae Ji Kim2Yae Ji Kim3Byung Hwa Lee4Byung Hwa Lee5Byung Hwa Lee6Peter Lee7Ji Hyung Park8Sang Won Seo9Sang Won Seo10Sang Won Seo11Sang Won Seo12Sang Won Seo13Yong Jeong14Yong Jeong15Yong Jeong16Yong Jeong17Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South KoreaKAIST Institute for Health Science Technology, Korea Advanced Institute of Science and Technology, Daejeon, South KoreaKAIST Institute for Health Science Technology, Korea Advanced Institute of Science and Technology, Daejeon, South KoreaProgram of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South KoreaDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University, Seoul, South KoreaNeuroscience Center, Samsung Medical Center, Seoul, South KoreaSamsung Alzheimer Research Center, Samsung Medical Center, Seoul, South KoreaKAIST Institute for Health Science Technology, Korea Advanced Institute of Science and Technology, Daejeon, South KoreaGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South KoreaDepartment of Neurology, Samsung Medical Center, Sungkyunkwan University, Seoul, South KoreaNeuroscience Center, Samsung Medical Center, Seoul, South KoreaSamsung Alzheimer Research Center, Samsung Medical Center, Seoul, South KoreaDepartment of Health Science and Technology, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, South KoreaDepartment of Intelligent Precision Healthcare Convergence, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, South KoreaGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South KoreaKAIST Institute for Health Science Technology, Korea Advanced Institute of Science and Technology, Daejeon, South KoreaProgram of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South KoreaDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea“Reserve” refers to the individual clinical differences in response to a neuropathological burden. We explored the behavioral reserve (BR) and associated neural substrates in 40 participants with behavioral variant frontotemporal dementia (bvFTD) who were assessed with the frontal behavioral inventory (FBI) and magnetic resonance imaging. Because neuroimaging abnormality showed a high negative correlation with the FBI negative (but not positive) symptom scores, we developed a linear model only to calculate the nBR (BR for negative symptoms) marker using neuroimaging abnormalities and the FBI score. Participants were divided into high nBR and low nBR groups based on the nBR marker. The FBI negative symptom score was lower in the high nBR group than in the low nBR group having the same neuroimaging abnormalities. However, the high nBR group noted a steeper decline in cortical atrophy and showed less atrophy in the left frontotemporal cortices than the low nBR group. In addition, the fractional anisotropy (FA) values were greater in the high nBR than in the low nBR group, except in the sensory-motor and occipital areas. We identified an nBR-related functional network composed of bilateral frontotemporal areas and the left occipital pole. We propose the concept of BR in bvFTD, and these findings can help predict the disease progression.https://www.frontiersin.org/articles/10.3389/fnagi.2022.875589/fullbehavioral variant frontotemporal dementiabehavior reserveneural correlatesbrain networkMRI
spellingShingle Su Hong Kim
Su Hong Kim
Yae Ji Kim
Yae Ji Kim
Byung Hwa Lee
Byung Hwa Lee
Byung Hwa Lee
Peter Lee
Ji Hyung Park
Sang Won Seo
Sang Won Seo
Sang Won Seo
Sang Won Seo
Sang Won Seo
Yong Jeong
Yong Jeong
Yong Jeong
Yong Jeong
Behavioral Reserve in Behavioral Variant Frontotemporal Dementia
Frontiers in Aging Neuroscience
behavioral variant frontotemporal dementia
behavior reserve
neural correlates
brain network
MRI
title Behavioral Reserve in Behavioral Variant Frontotemporal Dementia
title_full Behavioral Reserve in Behavioral Variant Frontotemporal Dementia
title_fullStr Behavioral Reserve in Behavioral Variant Frontotemporal Dementia
title_full_unstemmed Behavioral Reserve in Behavioral Variant Frontotemporal Dementia
title_short Behavioral Reserve in Behavioral Variant Frontotemporal Dementia
title_sort behavioral reserve in behavioral variant frontotemporal dementia
topic behavioral variant frontotemporal dementia
behavior reserve
neural correlates
brain network
MRI
url https://www.frontiersin.org/articles/10.3389/fnagi.2022.875589/full
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