Wide-Field Calcium Imaging of Neuronal Network Dynamics In Vivo

Biology, Journal Year: 2022, Volume and Issue: 11(11), P. 1601 - 1601

Published: Nov. 1, 2022

A central tenet of neuroscience is that sensory, motor, and cognitive behaviors are generated by the communications interactions among neurons, distributed within across anatomically functionally distinct brain regions. Therefore, to decipher how plans, learns, executes requires characterizing neuronal activity at multiple spatial temporal scales. This includes simultaneously recording dynamics mesoscale level understand regions during different behavioral states. Wide-field Ca2+ imaging, which uses single photon excitation improved genetically encoded indicators, allows for simultaneous recordings large areas proving be a powerful tool study mesoscopic scale in behaving animals. review details techniques used wide-field imaging various approaches employed analyses rich neuronal-behavioral data sets obtained. Also discussed providing novel insights into both normal altered neural processing disease. Finally, we examine limitations approach new developments bringing capabilities this important technique investigating large-scale dynamics.

Language: Английский

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Cortical glutamatergic projection neuron types contribute to distinct functional subnetworks

Nature Neuroscience, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 23, 2023

Language: Английский

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New perspectives on dimensionality and variability from large-scale cortical dynamics

Current Opinion in Neurobiology, Journal Year: 2019, Volume and Issue: 58, P. 181 - 190

Published: Oct. 1, 2019

The neocortex is a multi-scale network, with intricate local circuitry interwoven into global mesh of long-range connections. Neural activity propagates within this network on wide range temporal and spatial scales. At the micro scale, neurophysiological recordings reveal coordinated dynamics in neural populations, which support behaviorally relevant computations. macro neuroimaging modalities measure fluctuations organized spatiotemporal patterns across entire brain. Here we review recent advances linking scales cortical their relationship to behavior. We argue that diverse experimental observations dimensionality variability can be reconciled by considering how space time multiple

Language: Английский

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Effective Connectivity Measured Using Optogenetically Evoked Hemodynamic Signals Exhibits Topography Distinct from Resting State Functional Connectivity in the Mouse

Cerebral Cortex, Journal Year: 2017, Volume and Issue: 28(1), P. 370 - 386

Published: Oct. 12, 2017

Brain connectomics has expanded from histological assessment of axonal projection connectivity (APC) to encompass resting state functional (RS-FC). RS-FC analyses are efficient for whole-brain mapping, but attempts explain aspects (e.g., interhemispheric RS-FC) based on APC have been only partially successful. Neuroimaging with hemoglobin alone lacks specificity determining how activity in a population cells contributes RS-FC. Wide-field mapping optogenetically defined could provide insights into the brain's structure-function relationship. We combined optogenetics optical intrinsic signal imaging create an efficient, optogenetic effective (Opto-EC) assay. examined EC patterns excitatory neurons awake, Thy1-ChR2 transgenic mice. These Thy1-based (Thy1-EC) were evaluated against over cortex. Compared RS-FC, Thy1-EC exhibited increased spatial specificity, reduced regions strong and appreciable connection strength asymmetry. Comparing topography maps revealed that more closely resembled than did The general method Opto-EC can be determined 100 sites single animals under hour, is amenable other neuroimaging modalities. represents powerful strategy examining evolving connectivity-related circuit plasticity.

Language: Английский

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Temporal transitions of spontaneous brain activity

eLife, Journal Year: 2018, Volume and Issue: 7

Published: March 8, 2018

Spontaneous brain activity, typically investigated using resting-state fMRI (rsfMRI), provides a measure of inter-areal functional connectivity (RSFC). Although it has been established that RSFC is non-stationary, previous dynamic rsfMRI studies mainly focused on revealing the spatial characteristics patterns, but temporal relationship between these patterns remains elusive. Here we organization characteristic in awake rats and humans. We found transitions were not random followed specific sequential orders. The pattern was further analyzed graph theory, pivotal identified. This study demonstrated spontaneous activity only nonrandom spatially, also temporally, this feature well conserved rodents These results offer new insights into understanding spatiotemporal dynamics mammalian brain.

Language: Английский

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