Infraslow State Fluctuations Govern Spontaneous fMRI Network Dynamics

Daniel Gutierrez-Barragan; M Albert Basson; Stefano Panzeri; Alessandro Gozzi

doi:10.1016/j.cub.2019.06.017

Infraslow State Fluctuations Govern Spontaneous fMRI Network Dynamics

Standard

Infraslow State Fluctuations Govern Spontaneous fMRI Network Dynamics. / Gutierrez-Barragan, Daniel; Basson, M Albert; Panzeri, Stefano; Gozzi, Alessandro.

In: CURR BIOL, Vol. 29, No. 14, 22.07.2019, p. 2295-2306.e5.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Gutierrez-Barragan, D, Basson, MA, Panzeri, S & Gozzi, A 2019, 'Infraslow State Fluctuations Govern Spontaneous fMRI Network Dynamics', CURR BIOL, vol. 29, no. 14, pp. 2295-2306.e5. https://doi.org/10.1016/j.cub.2019.06.017

APA

Gutierrez-Barragan, D., Basson, M. A., Panzeri, S., & Gozzi, A. (2019). Infraslow State Fluctuations Govern Spontaneous fMRI Network Dynamics. CURR BIOL, 29(14), 2295-2306.e5. https://doi.org/10.1016/j.cub.2019.06.017

Vancouver

Gutierrez-Barragan D, Basson MA, Panzeri S, Gozzi A. Infraslow State Fluctuations Govern Spontaneous fMRI Network Dynamics. CURR BIOL. 2019 Jul 22;29(14):2295-2306.e5. https://doi.org/10.1016/j.cub.2019.06.017

Bibtex

@article{474f39ba4ed14278a3a40c99af960490,

title = "Infraslow State Fluctuations Govern Spontaneous fMRI Network Dynamics",

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

keywords = "Animals, Autistic Disorder/genetics, Brain/physiology, Cluster Analysis, Female, Magnetic Resonance Imaging, Male, Mice, Mice, Inbred C57BL, Random Allocation, Rest, Spatio-Temporal Analysis",

author = "Daniel Gutierrez-Barragan and Basson, {M Albert} and Stefano Panzeri and Alessandro Gozzi",

year = "2019",

month = jul,

day = "22",

doi = "10.1016/j.cub.2019.06.017",

language = "English",

volume = "29",

pages = "2295--2306.e5",

journal = "CURR BIOL",

issn = "0960-9822",

publisher = "Cell Press",

number = "14",

}

RIS

TY - JOUR

T1 - Infraslow State Fluctuations Govern Spontaneous fMRI Network Dynamics

AU - Gutierrez-Barragan, Daniel

AU - Basson, M Albert

AU - Panzeri, Stefano

AU - Gozzi, Alessandro

PY - 2019/7/22

Y1 - 2019/7/22

N2 - Spontaneous brain activity as assessed with resting-state fMRI exhibits rich spatiotemporal structure. However, the principles by which brain-wide patterns of spontaneous fMRI activity reconfigure and interact with each other remain unclear. We used a framewise clustering approach to map spatiotemporal dynamics of spontaneous fMRI activity with voxel resolution in the resting mouse brain. We show that brain-wide patterns of fMRI co-activation can be reliably mapped at the group and subject level, defining a restricted set of recurring brain states characterized by rich network structure. Importantly, we document that the identified fMRI states exhibit contrasting patterns of functional activity and coupled infraslow network dynamics, with each network state occurring at specific phases of global fMRI signal fluctuations. Finally, we show that autism-associated genetic alterations entail the engagement of atypical functional states and altered infraslow network dynamics. Our results reveal a novel set of fundamental principles guiding the spatiotemporal organization of resting-state fMRI activity and its disruption in brain disorders.

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

KW - Animals

KW - Autistic Disorder/genetics

KW - Brain/physiology

KW - Cluster Analysis

KW - Female

KW - Magnetic Resonance Imaging

KW - Male

KW - Mice

KW - Mice, Inbred C57BL

KW - Random Allocation

KW - Rest

KW - Spatio-Temporal Analysis

U2 - 10.1016/j.cub.2019.06.017

DO - 10.1016/j.cub.2019.06.017

M3 - SCORING: Journal article

C2 - 31303490

VL - 29

SP - 2295-2306.e5

JO - CURR BIOL

JF - CURR BIOL

SN - 0960-9822

IS - 14

ER -