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Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box

Understanding and treating heterogeneous brain disorders requires specialized techniques spanning genetics, proteomics, and neuroimaging. Designed to meet this need, NeuroPM-box is a user-friendly, open-access, multi-tool cross-platform software capable of characterizing multiscale and multifactoria...

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Autores principales: Iturria-Medina, Yasser, Carbonell, Félix, Assadi, Atousa, Adewale, Quadri, Khan, Ahmed F., Baumeister, Tobias R., Sanchez-Rodriguez, Lazaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140107/
https://www.ncbi.nlm.nih.gov/pubmed/34021244
http://dx.doi.org/10.1038/s42003-021-02133-x
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author Iturria-Medina, Yasser
Carbonell, Félix
Assadi, Atousa
Adewale, Quadri
Khan, Ahmed F.
Baumeister, Tobias R.
Sanchez-Rodriguez, Lazaro
author_facet Iturria-Medina, Yasser
Carbonell, Félix
Assadi, Atousa
Adewale, Quadri
Khan, Ahmed F.
Baumeister, Tobias R.
Sanchez-Rodriguez, Lazaro
author_sort Iturria-Medina, Yasser
collection PubMed
description Understanding and treating heterogeneous brain disorders requires specialized techniques spanning genetics, proteomics, and neuroimaging. Designed to meet this need, NeuroPM-box is a user-friendly, open-access, multi-tool cross-platform software capable of characterizing multiscale and multifactorial neuropathological mechanisms. Using advanced analytical modeling for molecular, histopathological, brain-imaging and/or clinical evaluations, this framework has multiple applications, validated here with synthetic (N > 2900), in-vivo (N = 911) and post-mortem (N = 736) neurodegenerative data, and including the ability to characterize: (i) the series of sequential states (genetic, histopathological, imaging or clinical alterations) covering decades of disease progression, (ii) concurrent intra-brain spreading of pathological factors (e.g., amyloid, tau and alpha-synuclein proteins), (iii) synergistic interactions between multiple biological factors (e.g., toxic tau effects on brain atrophy), and (iv) biologically-defined patient stratification based on disease heterogeneity and/or therapeutic needs. This freely available toolbox (neuropm-lab.com/neuropm-box.html) could contribute significantly to a better understanding of complex brain processes and accelerating the implementation of Precision Medicine in Neurology.
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spelling pubmed-81401072021-06-03 Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box Iturria-Medina, Yasser Carbonell, Félix Assadi, Atousa Adewale, Quadri Khan, Ahmed F. Baumeister, Tobias R. Sanchez-Rodriguez, Lazaro Commun Biol Article Understanding and treating heterogeneous brain disorders requires specialized techniques spanning genetics, proteomics, and neuroimaging. Designed to meet this need, NeuroPM-box is a user-friendly, open-access, multi-tool cross-platform software capable of characterizing multiscale and multifactorial neuropathological mechanisms. Using advanced analytical modeling for molecular, histopathological, brain-imaging and/or clinical evaluations, this framework has multiple applications, validated here with synthetic (N > 2900), in-vivo (N = 911) and post-mortem (N = 736) neurodegenerative data, and including the ability to characterize: (i) the series of sequential states (genetic, histopathological, imaging or clinical alterations) covering decades of disease progression, (ii) concurrent intra-brain spreading of pathological factors (e.g., amyloid, tau and alpha-synuclein proteins), (iii) synergistic interactions between multiple biological factors (e.g., toxic tau effects on brain atrophy), and (iv) biologically-defined patient stratification based on disease heterogeneity and/or therapeutic needs. This freely available toolbox (neuropm-lab.com/neuropm-box.html) could contribute significantly to a better understanding of complex brain processes and accelerating the implementation of Precision Medicine in Neurology. Nature Publishing Group UK 2021-05-21 /pmc/articles/PMC8140107/ /pubmed/34021244 http://dx.doi.org/10.1038/s42003-021-02133-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Iturria-Medina, Yasser
Carbonell, Félix
Assadi, Atousa
Adewale, Quadri
Khan, Ahmed F.
Baumeister, Tobias R.
Sanchez-Rodriguez, Lazaro
Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box
title Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box
title_full Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box
title_fullStr Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box
title_full_unstemmed Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box
title_short Integrating molecular, histopathological, neuroimaging and clinical neuroscience data with NeuroPM-box
title_sort integrating molecular, histopathological, neuroimaging and clinical neuroscience data with neuropm-box
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140107/
https://www.ncbi.nlm.nih.gov/pubmed/34021244
http://dx.doi.org/10.1038/s42003-021-02133-x
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