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Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships
A major challenge in current cognitive neuroscience is how functional brain connectivity gives rise to human cognition. Functional magnetic resonance imaging (fMRI) describes brain connectivity based on cerebral oxygenation dynamics (hemodynamic connectivity), whereas [18F]-fluorodeoxyglucose functi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930619/ https://www.ncbi.nlm.nih.gov/pubmed/35441214 http://dx.doi.org/10.1093/cercor/bhac150 |
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author | Voigt, Katharina Liang, Emma X Misic, Bratislav Ward, Phillip G D Egan, Gary F Jamadar, Sharna D |
author_facet | Voigt, Katharina Liang, Emma X Misic, Bratislav Ward, Phillip G D Egan, Gary F Jamadar, Sharna D |
author_sort | Voigt, Katharina |
collection | PubMed |
description | A major challenge in current cognitive neuroscience is how functional brain connectivity gives rise to human cognition. Functional magnetic resonance imaging (fMRI) describes brain connectivity based on cerebral oxygenation dynamics (hemodynamic connectivity), whereas [18F]-fluorodeoxyglucose functional positron emission tomography (FDG-fPET) describes brain connectivity based on cerebral glucose uptake (metabolic connectivity), each providing a unique characterization of the human brain. How these 2 modalities differ in their contribution to cognition and behavior is unclear. We used simultaneous resting-state FDG-fPET/fMRI to investigate how hemodynamic connectivity and metabolic connectivity relate to cognitive function by applying partial least squares analyses. Results revealed that although for both modalities the frontoparietal anatomical subdivisions related the strongest to cognition, using hemodynamic measures this network expressed executive functioning, episodic memory, and depression, whereas for metabolic measures this network exclusively expressed executive functioning. These findings demonstrate the unique advantages that simultaneous FDG-PET/fMRI has to provide a comprehensive understanding of the neural mechanisms that underpin cognition and highlights the importance of multimodality imaging in cognitive neuroscience research. |
format | Online Article Text |
id | pubmed-9930619 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99306192023-02-16 Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships Voigt, Katharina Liang, Emma X Misic, Bratislav Ward, Phillip G D Egan, Gary F Jamadar, Sharna D Cereb Cortex Original Article A major challenge in current cognitive neuroscience is how functional brain connectivity gives rise to human cognition. Functional magnetic resonance imaging (fMRI) describes brain connectivity based on cerebral oxygenation dynamics (hemodynamic connectivity), whereas [18F]-fluorodeoxyglucose functional positron emission tomography (FDG-fPET) describes brain connectivity based on cerebral glucose uptake (metabolic connectivity), each providing a unique characterization of the human brain. How these 2 modalities differ in their contribution to cognition and behavior is unclear. We used simultaneous resting-state FDG-fPET/fMRI to investigate how hemodynamic connectivity and metabolic connectivity relate to cognitive function by applying partial least squares analyses. Results revealed that although for both modalities the frontoparietal anatomical subdivisions related the strongest to cognition, using hemodynamic measures this network expressed executive functioning, episodic memory, and depression, whereas for metabolic measures this network exclusively expressed executive functioning. These findings demonstrate the unique advantages that simultaneous FDG-PET/fMRI has to provide a comprehensive understanding of the neural mechanisms that underpin cognition and highlights the importance of multimodality imaging in cognitive neuroscience research. Oxford University Press 2022-04-19 /pmc/articles/PMC9930619/ /pubmed/35441214 http://dx.doi.org/10.1093/cercor/bhac150 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Voigt, Katharina Liang, Emma X Misic, Bratislav Ward, Phillip G D Egan, Gary F Jamadar, Sharna D Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships |
title | Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships |
title_full | Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships |
title_fullStr | Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships |
title_full_unstemmed | Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships |
title_short | Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships |
title_sort | metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930619/ https://www.ncbi.nlm.nih.gov/pubmed/35441214 http://dx.doi.org/10.1093/cercor/bhac150 |
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