Temporal transitions of spontaneous brain activity DOI Creative Commons
Zhiwei Ma, Nanyin Zhang

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

Global Representations of Goal-Directed Behavior in Distinct Cell Types of Mouse Neocortex DOI Creative Commons
William E. Allen,

Isaac Kauvar,

Michael Z. Chen

et al.

Neuron, Journal Year: 2017, Volume and Issue: 94(4), P. 891 - 907.e6

Published: May 1, 2017

The successful planning and execution of adaptive behaviors in mammals may require long-range coordination neural networks throughout cerebral cortex. neuronal implementation signals that could orchestrate cortex-wide activity remains unclear. Here, we develop apply methods for Ca2+ imaging mice performing decision-making behavior identify a global cortical representation task engagement encoded the dynamics both single cells superficial neuropil distributed across majority dorsal multiple molecularly defined cell types was found to reflect this with type-specific dynamics. Focal optogenetic inhibition tiled cortex revealed crucial role frontal triggering phenomenon; local region blocked response task-initiating cues voluntary behavior. These findings reveal cell-type-specific processes globally representing goal-directed major node gates broadcast task-related information.

Language: Английский

Citations

398
Transformation of Cortex-wide Emergent Properties during Motor Learning DOI Creative Commons
Hiroshi Makino, Chi Ren, Haixin Liu

et al.

Neuron, Journal Year: 2017, Volume and Issue: 94(4), P. 880 - 890.e8

Published: May 1, 2017

Language: Английский

Citations

287
Deep posteromedial cortical rhythm in dissociation DOI

Sam Vesuna,

Isaac Kauvar,

Ethan B. Richman

et al.

Nature, Journal Year: 2020, Volume and Issue: 586(7827), P. 87 - 94

Published: Sept. 16, 2020

Language: Английский

Citations

228
Task-Dependent Changes in the Large-Scale Dynamics and Necessity of Cortical Regions DOI Creative Commons
Lucas Pinto, Kanaka Rajan, Brian DePasquale

et al.

Neuron, Journal Year: 2019, Volume and Issue: 104(4), P. 810 - 824.e9

Published: Sept. 26, 2019

Language: Английский

Citations

217
High-density multi-fiber photometry for studying large-scale brain circuit dynamics DOI
Yaroslav Sych, Maria Chernysheva,

Lazar T. Sumanovski

et al.

Nature Methods, Journal Year: 2019, Volume and Issue: 16(6), P. 553 - 560

Published: May 13, 2019

Language: Английский

Citations

194
Spontaneous Infra-slow Brain Activity Has Unique Spatiotemporal Dynamics and Laminar Structure DOI Creative Commons
Anish Mitra, Andrew W. Kraft,

Patrick W. Wright

et al.

Neuron, Journal Year: 2018, Volume and Issue: 98(2), P. 297 - 305.e6

Published: March 29, 2018

Language: Английский

Citations

189
Locomotion-dependent remapping of distributed cortical networks DOI
Kelly B. Clancy, Ivana Oršolić, Thomas D. Mrsic‐Flogel

et al.

Nature Neuroscience, Journal Year: 2019, Volume and Issue: 22(5), P. 778 - 786

Published: March 11, 2019

Language: Английский

Citations

150
Why is everyone talking about brain state? DOI Creative Commons
Abigail S. Greene, Corey Horien, Daniel Barson

et al.

Trends in Neurosciences, Journal Year: 2023, Volume and Issue: 46(7), P. 508 - 524

Published: May 8, 2023

The rapid and coordinated propagation of neural activity across the brain provides foundation for complex behavior cognition. Technical advances neuroscience subfields have advanced understanding these dynamics, but points convergence are often obscured by semantic differences, creating silos subfield-specific findings. In this review we describe how a parsimonious conceptualization state as fundamental building block whole-brain offers common framework to relate findings scales species. We present examples diverse techniques commonly used study states associated with physiology higher-order cognitive processes, discuss integration them will enable more comprehensive mechanistic characterization dynamics that crucial survival disrupted in disease.

Language: Английский

Citations

82
Mesoscale Mapping of Mouse Cortex Reveals Frequency-Dependent Cycling between Distinct Macroscale Functional Modules DOI Open Access
Matthieu P. Vanni,

Allen W. Chan,

Matilde Balbi

et al.

Journal of Neuroscience, Journal Year: 2017, Volume and Issue: 37(31), P. 7513 - 7533

Published: July 3, 2017

Connectivity mapping based on resting-state activity in mice has revealed functional motifs of correlated activity. However, the rules by which organize into larger modules that lead to hemisphere wide spatial-temporal sequences is not clear. We explore cortical parcellation head-fixed, quiet awake GCaMP6 from both sexes using mesoscopic calcium imaging. Spectral decomposition spontaneous presence two dominant frequency modes (<1 and ∼3 Hz), each them associated with a unique spatial signature macro-parcellation predicted classical cytoarchitectonic definitions areas. Based assessment 0.1–1 Hz activity, we define macro-organizing principles: first being rotating polymodal-association pinwheel structure around flows sequentially visual barrel then hindlimb somatosensory; second principle symmetry planes exist many levels within single domain such as intrahemispheric reflections sensory motor cortices. In contrast, higher >1 yielded clusters coactivated areas an enlarged default mode network-like posterior region. suggest apparent constrained for intra-areal flow could be exploited future efforts normalize diseases nervous system. SIGNIFICANCE STATEMENT Increasingly, connectivity used reveal organization brain. because brain operates across multiple space time domains more detailed understanding this necessary. in vivo wide-field imaging indicator characterize at different spatiotemporal scales. Correlation analysis defines three superclusters span traditionally defined territories were dependent. This work helps how interact space. provide framework necessary studies reorganization circuits disease models.

Language: Английский

Citations

158
Infraslow State Fluctuations Govern Spontaneous fMRI Network Dynamics DOI Creative Commons
Daniel Gutierrez‐Barragan, M. Albert Basson, Stefano Panzeri

et al.

Current Biology, Journal Year: 2019, Volume and Issue: 29(14), P. 2295 - 2306.e5

Published: July 1, 2019

Spontaneous brain activity as assessed with resting-state fMRI exhibits rich spatiotemporal structure. However, the principles by which brain-wide patterns of spontaneous reconfigure and interact each other remain unclear. We used a framewise clustering approach to map dynamics voxel resolution in resting mouse brain. show that co-activation can be reliably mapped at group subject level, defining restricted set recurring states characterized network Importantly, we document identified exhibit contrasting functional coupled infraslow dynamics, state occurring specific phases global signal fluctuations. Finally, autism-associated genetic alterations entail engagement atypical altered dynamics. Our results reveal novel fundamental guiding organization its disruption disorders.

Language: Английский

Citations

137