Solving brain circuit function and dysfunction with computational modeling and optogenetic fMRI
Year: 2022
Type: review
Abstract: Can we construct a model of brain function that enables an understanding of whole-brain circuit mechanisms underlying neurological disease and use it to predict the outcome of therapeutic interventions? How are pathologies in neurological disease, some of which are observed to have spatial spreading mechanisms, associated with circuits and brain function? In this review, we discuss approaches that have been used to date and future directions that can be explored to answer these questions. By combining optogenetic functional magnetic resonance imaging (fMRI) with computational modeling, cell type-specific, large-scale brain circuit function and dysfunction are beginning to be quantitatively parameterized. We envision that these developments will pave the path for future therapeutics developments based on a systems engineering approach aimed at directly restoring brain function.
Source: Science
Authors: Jin Hyung Lee, Qin Liu, Ehsan Dadgar-Kiani
Institutions: Stanford Medicine, Stanford University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
Awards: Innovating high-resolution novel imaging approaches to elucidate mechanisms of prion-like spreadingof neurodegenerative disease, Defining Cell Type Specific Contributions to fMRI Signals, CRCNS: US-France-Israel Research Proposal: A personalized approach to brain stimulation, Animal 7T MRI Scanner for Imaging Neural Circuits, From Optogenetic Functional MRI to Mechanogenetic Functional Ultrasound
OpenAlex ID: W4308370157