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Brain Molecular Connectivity in Neurodegenerative Conditions

Positron emission tomography (PET) allows for the in vivo assessment of early brain functional and molecular changes in neurodegenerative conditions, representing a unique tool in the diagnostic workup. The increased use of multivariate PET imaging analysis approaches has provided the chance to inve...

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Detalles Bibliográficos
Autores principales: Carli, Giulia, Tondo, Giacomo, Boccalini, Cecilia, Perani, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067093/
https://www.ncbi.nlm.nih.gov/pubmed/33800680
http://dx.doi.org/10.3390/brainsci11040433
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author Carli, Giulia
Tondo, Giacomo
Boccalini, Cecilia
Perani, Daniela
author_facet Carli, Giulia
Tondo, Giacomo
Boccalini, Cecilia
Perani, Daniela
author_sort Carli, Giulia
collection PubMed
description Positron emission tomography (PET) allows for the in vivo assessment of early brain functional and molecular changes in neurodegenerative conditions, representing a unique tool in the diagnostic workup. The increased use of multivariate PET imaging analysis approaches has provided the chance to investigate regional molecular processes and long-distance brain circuit functional interactions in the last decade. PET metabolic and neurotransmission connectome can reveal brain region interactions. This review is an overview of concepts and methods for PET molecular and metabolic covariance assessment with evidence in neurodegenerative conditions, including Alzheimer’s disease and Lewy bodies disease spectrum. We highlight the effects of environmental and biological factors on brain network organization. All of the above might contribute to innovative diagnostic tools and potential disease-modifying interventions.
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spelling pubmed-80670932021-04-25 Brain Molecular Connectivity in Neurodegenerative Conditions Carli, Giulia Tondo, Giacomo Boccalini, Cecilia Perani, Daniela Brain Sci Review Positron emission tomography (PET) allows for the in vivo assessment of early brain functional and molecular changes in neurodegenerative conditions, representing a unique tool in the diagnostic workup. The increased use of multivariate PET imaging analysis approaches has provided the chance to investigate regional molecular processes and long-distance brain circuit functional interactions in the last decade. PET metabolic and neurotransmission connectome can reveal brain region interactions. This review is an overview of concepts and methods for PET molecular and metabolic covariance assessment with evidence in neurodegenerative conditions, including Alzheimer’s disease and Lewy bodies disease spectrum. We highlight the effects of environmental and biological factors on brain network organization. All of the above might contribute to innovative diagnostic tools and potential disease-modifying interventions. MDPI 2021-03-28 /pmc/articles/PMC8067093/ /pubmed/33800680 http://dx.doi.org/10.3390/brainsci11040433 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Review
Carli, Giulia
Tondo, Giacomo
Boccalini, Cecilia
Perani, Daniela
Brain Molecular Connectivity in Neurodegenerative Conditions
title Brain Molecular Connectivity in Neurodegenerative Conditions
title_full Brain Molecular Connectivity in Neurodegenerative Conditions
title_fullStr Brain Molecular Connectivity in Neurodegenerative Conditions
title_full_unstemmed Brain Molecular Connectivity in Neurodegenerative Conditions
title_short Brain Molecular Connectivity in Neurodegenerative Conditions
title_sort brain molecular connectivity in neurodegenerative conditions
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067093/
https://www.ncbi.nlm.nih.gov/pubmed/33800680
http://dx.doi.org/10.3390/brainsci11040433
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