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Dynamic functional connectivity patterns associated with dementia risk
BACKGROUND: This study assesses the relationships between dynamic functional network connectivity (DFNC) and dementia risk. METHODS: DFNC of the default mode (DMN), salience (SN), and executive control networks was assessed in 127 cognitively unimpaired older adults. Stepwise regressions were perfor...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128270/ https://www.ncbi.nlm.nih.gov/pubmed/35606867 http://dx.doi.org/10.1186/s13195-022-01006-7 |
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author | Dautricourt, Sophie Gonneaud, Julie Landeau, Brigitte Calhoun, Vince D. de Flores, Robin Poisnel, Géraldine Bougacha, Salma Ourry, Valentin Touron, Edelweiss Kuhn, Elizabeth Demintz-King, Harriet Marchant, Natalie L. Vivien, Denis de la Sayette, Vincent Lutz, Antoine Chételat, Gaël |
author_facet | Dautricourt, Sophie Gonneaud, Julie Landeau, Brigitte Calhoun, Vince D. de Flores, Robin Poisnel, Géraldine Bougacha, Salma Ourry, Valentin Touron, Edelweiss Kuhn, Elizabeth Demintz-King, Harriet Marchant, Natalie L. Vivien, Denis de la Sayette, Vincent Lutz, Antoine Chételat, Gaël |
author_sort | Dautricourt, Sophie |
collection | PubMed |
description | BACKGROUND: This study assesses the relationships between dynamic functional network connectivity (DFNC) and dementia risk. METHODS: DFNC of the default mode (DMN), salience (SN), and executive control networks was assessed in 127 cognitively unimpaired older adults. Stepwise regressions were performed with dementia risk and protective factors and biomarkers as predictors of DFNC. RESULTS: Associations were found between times spent in (i) a “weakly connected” state and lower self-reported engagement in early- and mid-life cognitive activity and higher LDL cholesterol; (ii) a “SN-negatively connected” state and higher blood pressure, higher depression score, and lower body mass index (BMI); (iii) a “strongly connected” state and higher self-reported engagement in early-life cognitive activity, Preclinical Alzheimer’s cognitive composite-5 score, and BMI; and (iv) a “DMN-negatively connected” state and higher self-reported engagement in early- and mid-life stimulating activities and lower LDL cholesterol and blood pressure. The lower number of state transitions was associated with lower brain perfusion. CONCLUSION: DFNC states are differentially associated with dementia risk and could underlie reserve. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-01006-7. |
format | Online Article Text |
id | pubmed-9128270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91282702022-05-25 Dynamic functional connectivity patterns associated with dementia risk Dautricourt, Sophie Gonneaud, Julie Landeau, Brigitte Calhoun, Vince D. de Flores, Robin Poisnel, Géraldine Bougacha, Salma Ourry, Valentin Touron, Edelweiss Kuhn, Elizabeth Demintz-King, Harriet Marchant, Natalie L. Vivien, Denis de la Sayette, Vincent Lutz, Antoine Chételat, Gaël Alzheimers Res Ther Research BACKGROUND: This study assesses the relationships between dynamic functional network connectivity (DFNC) and dementia risk. METHODS: DFNC of the default mode (DMN), salience (SN), and executive control networks was assessed in 127 cognitively unimpaired older adults. Stepwise regressions were performed with dementia risk and protective factors and biomarkers as predictors of DFNC. RESULTS: Associations were found between times spent in (i) a “weakly connected” state and lower self-reported engagement in early- and mid-life cognitive activity and higher LDL cholesterol; (ii) a “SN-negatively connected” state and higher blood pressure, higher depression score, and lower body mass index (BMI); (iii) a “strongly connected” state and higher self-reported engagement in early-life cognitive activity, Preclinical Alzheimer’s cognitive composite-5 score, and BMI; and (iv) a “DMN-negatively connected” state and higher self-reported engagement in early- and mid-life stimulating activities and lower LDL cholesterol and blood pressure. The lower number of state transitions was associated with lower brain perfusion. CONCLUSION: DFNC states are differentially associated with dementia risk and could underlie reserve. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-022-01006-7. BioMed Central 2022-05-23 /pmc/articles/PMC9128270/ /pubmed/35606867 http://dx.doi.org/10.1186/s13195-022-01006-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Dautricourt, Sophie Gonneaud, Julie Landeau, Brigitte Calhoun, Vince D. de Flores, Robin Poisnel, Géraldine Bougacha, Salma Ourry, Valentin Touron, Edelweiss Kuhn, Elizabeth Demintz-King, Harriet Marchant, Natalie L. Vivien, Denis de la Sayette, Vincent Lutz, Antoine Chételat, Gaël Dynamic functional connectivity patterns associated with dementia risk |
title | Dynamic functional connectivity patterns associated with dementia risk |
title_full | Dynamic functional connectivity patterns associated with dementia risk |
title_fullStr | Dynamic functional connectivity patterns associated with dementia risk |
title_full_unstemmed | Dynamic functional connectivity patterns associated with dementia risk |
title_short | Dynamic functional connectivity patterns associated with dementia risk |
title_sort | dynamic functional connectivity patterns associated with dementia risk |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128270/ https://www.ncbi.nlm.nih.gov/pubmed/35606867 http://dx.doi.org/10.1186/s13195-022-01006-7 |
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