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Network‐wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum
BACKGROUND: Concordance between cortical atrophy and cortical glucose hypometabolism within distributed brain networks was evaluated among cerebrospinal fluid (CSF) biomarker‐defined amyloid/tau/neurodegeneration (A/T/N) groups. METHOD: We computed correlations between cortical thickness and fluorod...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043119/ https://www.ncbi.nlm.nih.gov/pubmed/35496375 http://dx.doi.org/10.1002/dad2.12304 |
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author | Stocks, Jane Popuri, Karteek Heywood, Ashley Tosun, Duygu Alpert, Kate Beg, Mirza Faisal Rosen, Howard Wang, Lei |
author_facet | Stocks, Jane Popuri, Karteek Heywood, Ashley Tosun, Duygu Alpert, Kate Beg, Mirza Faisal Rosen, Howard Wang, Lei |
author_sort | Stocks, Jane |
collection | PubMed |
description | BACKGROUND: Concordance between cortical atrophy and cortical glucose hypometabolism within distributed brain networks was evaluated among cerebrospinal fluid (CSF) biomarker‐defined amyloid/tau/neurodegeneration (A/T/N) groups. METHOD: We computed correlations between cortical thickness and fluorodeoxyglucose metabolism within 12 functional brain networks. Differences among A/T/N groups (biomarker normal [BN], Alzheimer's disease [AD] continuum, suspected non‐AD pathologic change [SNAP]) in network concordance and relationships to longitudinal change in cognition were assessed. RESULTS: Network‐wise markers of concordance distinguish SNAP subjects from BN subjects within the posterior multimodal and language networks. AD‐continuum subjects showed increased concordance in 9/12 networks assessed compared to BN subjects, as well as widespread atrophy and hypometabolism. Baseline network concordance was associated with longitudinal change in a composite memory variable in both SNAP and AD‐continuum subjects. CONCLUSIONS: Our novel study investigates the interrelationships between atrophy and hypometabolism across brain networks in A/T/N groups, helping disentangle the structure–function relationships that contribute to both clinical outcomes and diagnostic uncertainty in AD. |
format | Online Article Text |
id | pubmed-9043119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90431192022-04-28 Network‐wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum Stocks, Jane Popuri, Karteek Heywood, Ashley Tosun, Duygu Alpert, Kate Beg, Mirza Faisal Rosen, Howard Wang, Lei Alzheimers Dement (Amst) Research Articles BACKGROUND: Concordance between cortical atrophy and cortical glucose hypometabolism within distributed brain networks was evaluated among cerebrospinal fluid (CSF) biomarker‐defined amyloid/tau/neurodegeneration (A/T/N) groups. METHOD: We computed correlations between cortical thickness and fluorodeoxyglucose metabolism within 12 functional brain networks. Differences among A/T/N groups (biomarker normal [BN], Alzheimer's disease [AD] continuum, suspected non‐AD pathologic change [SNAP]) in network concordance and relationships to longitudinal change in cognition were assessed. RESULTS: Network‐wise markers of concordance distinguish SNAP subjects from BN subjects within the posterior multimodal and language networks. AD‐continuum subjects showed increased concordance in 9/12 networks assessed compared to BN subjects, as well as widespread atrophy and hypometabolism. Baseline network concordance was associated with longitudinal change in a composite memory variable in both SNAP and AD‐continuum subjects. CONCLUSIONS: Our novel study investigates the interrelationships between atrophy and hypometabolism across brain networks in A/T/N groups, helping disentangle the structure–function relationships that contribute to both clinical outcomes and diagnostic uncertainty in AD. John Wiley and Sons Inc. 2022-04-26 /pmc/articles/PMC9043119/ /pubmed/35496375 http://dx.doi.org/10.1002/dad2.12304 Text en © 2022 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Stocks, Jane Popuri, Karteek Heywood, Ashley Tosun, Duygu Alpert, Kate Beg, Mirza Faisal Rosen, Howard Wang, Lei Network‐wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum |
title | Network‐wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum |
title_full | Network‐wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum |
title_fullStr | Network‐wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum |
title_full_unstemmed | Network‐wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum |
title_short | Network‐wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum |
title_sort | network‐wise concordance of multimodal neuroimaging features across the alzheimer's disease continuum |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043119/ https://www.ncbi.nlm.nih.gov/pubmed/35496375 http://dx.doi.org/10.1002/dad2.12304 |
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