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Big contributions of the little brain for precision psychiatry

Bibliographic Data

ID15520507
AuthorsSheeba Anteraper (Carle Foundation Hospital, corresponding author), Xavier Guell (0000-0002-0684-0954, Harvard University), Susan Whitfield‐gabrieli (0000-0002-9460-167X, Harvard University), Susan Whitfield-Gabrieli
Year2022
Volume13
Pages1021873-1021873
Publication date2022-10-17
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2022.1021873
PMID36339842
OpenAlexW4306377039
LanguageEN
References cited58

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

Brain stimulation · Cerebellum · Default mode network · Functional connectivity · Functional magnetic resonance imaging · Human brain · Neuroimaging · Stimulation · Advanced Neuroimaging Techniques and Applications · Functional Brain Connectivity Studies · Medicine · Neuroscience · Psychology · Vestibular and auditory disorders

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Highly citedNo

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