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Altered neural networks and cognition in a hereditary colon cancer
Familial Adenomatous Polyposis (FAP) is an autosomal dominant disorder caused by mutation of the APC gene presenting with numerous colorectal adenomatous polyps and a near 100% risk of colon cancer. Preliminary research findings from our group indicate that FAP patients experience significant defici...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8517154/ https://www.ncbi.nlm.nih.gov/pubmed/34693396 http://dx.doi.org/10.1016/j.ibneur.2021.09.007 |
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author | Cali, Ryan J. Nephew, Benjamin C. Moore, Constance M. Chumachenko, Serhiy Sala, Ana Cecilia Cintron, Beatriz Luciano, Carlos King, Jean A. Hooper, Stephen R. Giardiello, Francis M. Cruz-Correa, Marcia |
author_facet | Cali, Ryan J. Nephew, Benjamin C. Moore, Constance M. Chumachenko, Serhiy Sala, Ana Cecilia Cintron, Beatriz Luciano, Carlos King, Jean A. Hooper, Stephen R. Giardiello, Francis M. Cruz-Correa, Marcia |
author_sort | Cali, Ryan J. |
collection | PubMed |
description | Familial Adenomatous Polyposis (FAP) is an autosomal dominant disorder caused by mutation of the APC gene presenting with numerous colorectal adenomatous polyps and a near 100% risk of colon cancer. Preliminary research findings from our group indicate that FAP patients experience significant deficits across many cognitive domains. In the current study, fMRI brain metrics in a FAP population and matched controls were used to further the mechanistic understanding of reported cognitive deficits. This research identified and characterized any possible differences in resting brain networks and associations between neural network changes and cognition from 34 participants (18 FAP patients, 16 healthy controls). Functional connectivity analysis was performed using FSL with independent component analysis (ICA) to identify functional networks. Significant differences between cases and controls were observed in 8 well-established resting state networks. With the addition of an aggregate cognitive measure as a covariate, these differences were virtually non-existent, indicating a strong correlation between cognition and brain activity at the network level. The data indicate robust and pervasive effects on functional neural network activity among FAP patients and these effects are likely involved in cognitive deficits associated with this disease. |
format | Online Article Text |
id | pubmed-8517154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-85171542021-10-21 Altered neural networks and cognition in a hereditary colon cancer Cali, Ryan J. Nephew, Benjamin C. Moore, Constance M. Chumachenko, Serhiy Sala, Ana Cecilia Cintron, Beatriz Luciano, Carlos King, Jean A. Hooper, Stephen R. Giardiello, Francis M. Cruz-Correa, Marcia IBRO Neurosci Rep Research Paper Familial Adenomatous Polyposis (FAP) is an autosomal dominant disorder caused by mutation of the APC gene presenting with numerous colorectal adenomatous polyps and a near 100% risk of colon cancer. Preliminary research findings from our group indicate that FAP patients experience significant deficits across many cognitive domains. In the current study, fMRI brain metrics in a FAP population and matched controls were used to further the mechanistic understanding of reported cognitive deficits. This research identified and characterized any possible differences in resting brain networks and associations between neural network changes and cognition from 34 participants (18 FAP patients, 16 healthy controls). Functional connectivity analysis was performed using FSL with independent component analysis (ICA) to identify functional networks. Significant differences between cases and controls were observed in 8 well-established resting state networks. With the addition of an aggregate cognitive measure as a covariate, these differences were virtually non-existent, indicating a strong correlation between cognition and brain activity at the network level. The data indicate robust and pervasive effects on functional neural network activity among FAP patients and these effects are likely involved in cognitive deficits associated with this disease. Elsevier 2021-10-02 /pmc/articles/PMC8517154/ /pubmed/34693396 http://dx.doi.org/10.1016/j.ibneur.2021.09.007 Text en © 2021 The Authors. Published by Elsevier Ltd on behalf of International Brain Research Organization. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Paper Cali, Ryan J. Nephew, Benjamin C. Moore, Constance M. Chumachenko, Serhiy Sala, Ana Cecilia Cintron, Beatriz Luciano, Carlos King, Jean A. Hooper, Stephen R. Giardiello, Francis M. Cruz-Correa, Marcia Altered neural networks and cognition in a hereditary colon cancer |
title | Altered neural networks and cognition in a hereditary colon cancer |
title_full | Altered neural networks and cognition in a hereditary colon cancer |
title_fullStr | Altered neural networks and cognition in a hereditary colon cancer |
title_full_unstemmed | Altered neural networks and cognition in a hereditary colon cancer |
title_short | Altered neural networks and cognition in a hereditary colon cancer |
title_sort | altered neural networks and cognition in a hereditary colon cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8517154/ https://www.ncbi.nlm.nih.gov/pubmed/34693396 http://dx.doi.org/10.1016/j.ibneur.2021.09.007 |
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