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Big contributions of the little brain for precision psychiatry

Our previous work using 3T functional Magnetic Resonance Imaging (fMRI) parcellated the human dentate nuclei (DN), the primary output of the cerebellum, to three distinct functional zones each contributing uniquely to default-mode, salience-motor, and visual brain networks. In this perspective piece...

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Autores principales: Anteraper, Sheeba, Guell, Xavier, Whitfield-Gabrieli, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632752/
https://www.ncbi.nlm.nih.gov/pubmed/36339842
http://dx.doi.org/10.3389/fpsyt.2022.1021873
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author Anteraper, Sheeba
Guell, Xavier
Whitfield-Gabrieli, Susan
author_facet Anteraper, Sheeba
Guell, Xavier
Whitfield-Gabrieli, Susan
author_sort Anteraper, Sheeba
collection PubMed
description Our previous work using 3T functional Magnetic Resonance Imaging (fMRI) parcellated the human dentate nuclei (DN), the primary output of the cerebellum, to three distinct functional zones each contributing uniquely to default-mode, salience-motor, and visual brain networks. In this perspective piece, we highlight the possibility to target specific functional territories within the cerebellum using non-invasive brain stimulation, potentially leading to the refinement of cerebellar-based therapeutics for precision psychiatry. Significant knowledge gap exists in our functional understanding of cerebellar systems. Intervening early, gauging severity of illness, developing intervention strategies and assessing treatment response, are all dependent on our understanding of the cerebello-cerebral networks underlying the pathology of psychotic disorders. A promising yet under-examined avenue for biomarker discovery is disruptions in cerebellar output circuitry. This is primarily because most 3T MRI studies in the past had to exclude cerebellum from the field of view due to limitations in spatiotemporal resolutions. Using recent technological advances in 7T MRI (e.g., parallel transmit head coils) to identify functional territories of the DN, with a focus on dentato-cerebello-thalamo-cortical (CTC) circuitry can lead to better characterization of brain-behavioral correlations and assessments of co-morbidities. Such an improved mechanistic understanding of psychiatric illnesses can reveal aspects of CTC circuitry that can aid in neuroprognosis, identification of subtypes, and generate testable hypothesis for future studies.
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spelling pubmed-96327522022-11-04 Big contributions of the little brain for precision psychiatry Anteraper, Sheeba Guell, Xavier Whitfield-Gabrieli, Susan Front Psychiatry Psychiatry Our previous work using 3T functional Magnetic Resonance Imaging (fMRI) parcellated the human dentate nuclei (DN), the primary output of the cerebellum, to three distinct functional zones each contributing uniquely to default-mode, salience-motor, and visual brain networks. In this perspective piece, we highlight the possibility to target specific functional territories within the cerebellum using non-invasive brain stimulation, potentially leading to the refinement of cerebellar-based therapeutics for precision psychiatry. Significant knowledge gap exists in our functional understanding of cerebellar systems. Intervening early, gauging severity of illness, developing intervention strategies and assessing treatment response, are all dependent on our understanding of the cerebello-cerebral networks underlying the pathology of psychotic disorders. A promising yet under-examined avenue for biomarker discovery is disruptions in cerebellar output circuitry. This is primarily because most 3T MRI studies in the past had to exclude cerebellum from the field of view due to limitations in spatiotemporal resolutions. Using recent technological advances in 7T MRI (e.g., parallel transmit head coils) to identify functional territories of the DN, with a focus on dentato-cerebello-thalamo-cortical (CTC) circuitry can lead to better characterization of brain-behavioral correlations and assessments of co-morbidities. Such an improved mechanistic understanding of psychiatric illnesses can reveal aspects of CTC circuitry that can aid in neuroprognosis, identification of subtypes, and generate testable hypothesis for future studies. Frontiers Media S.A. 2022-10-17 /pmc/articles/PMC9632752/ /pubmed/36339842 http://dx.doi.org/10.3389/fpsyt.2022.1021873 Text en Copyright © 2022 Anteraper, Guell and Whitfield-Gabrieli. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Anteraper, Sheeba
Guell, Xavier
Whitfield-Gabrieli, Susan
Big contributions of the little brain for precision psychiatry
title Big contributions of the little brain for precision psychiatry
title_full Big contributions of the little brain for precision psychiatry
title_fullStr Big contributions of the little brain for precision psychiatry
title_full_unstemmed Big contributions of the little brain for precision psychiatry
title_short Big contributions of the little brain for precision psychiatry
title_sort big contributions of the little brain for precision psychiatry
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632752/
https://www.ncbi.nlm.nih.gov/pubmed/36339842
http://dx.doi.org/10.3389/fpsyt.2022.1021873
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