TY - GEN
T1 - Spatiotemporal structures of time lags in the brain as revealed by magnetoencephalography
AU - Basti, Alessio
AU - Chella, Federico
AU - Snyder, Abraham Z.
AU - Pizzella, Vittorio
AU - Marzetti, Laura
N1 - Funding Information:
* This work was supported by: the "Departments of Excellence 2018-2022" initiative of the Italian Ministry of Education, University and Research for the Department of Neuroscience, Imaging and Clinical Sciences (DNISC) of the University of Chieti-Pescara, and BIAL Foundation research grant 66/2016 to L. Marzetti. A. Basti, F. Chella, V. Pizzella and L. Marzetti are with the Department of Neuroscience, Imaging and Clinical Sciences, University of Chieti-Pescara, Chieti, CH 66100 IT (+39 0871 3556921; e-mail: [email protected]) F. Chella, V. Pizzella and L. Marzetti are with the Institute for Advanced Biomedical Technologies, Chieti, CH 66100 IT (e-mail: [email protected]; e-mail: [email protected]; e-mail: [email protected]). A.Z. Snyder is at the Departments of Radiology and Neurology, Washington University in St. Louis, St. Louis, MO, 63110, USA (e-mail: [email protected]).
Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Functional magnetic resonance imaging (fMRI) studies in humans have recently provided evidence of intrinsic activity that propagates throughout the brain with non-zero time lags. Nevertheless, the limited temporal resolution of fMRI does not allow to characterize this lagged propagation on time scales relevant to behavior, i.e., in the 10-100 millisecond range. Thus, a millisecond resolution technique such as magnetoencephalography (MEG) is needed. Here we aim at investigating the spatiotemporal structure of intrinsic propagated activity on 61 resting state MEG subjects taken from the Human Connectome Project (HCP) database. For this purpose, we relied on a multivariate connectivity approach based on the cross-correlation between the amplitude envelopes of the alpha frequency band signals associated with cortical areas. Our findings clearly revealed that patterns of time lags between regions exist on temporal scales of tens of milliseconds, thus supporting the notion that communication by relaying signals is a central mechanism implemented by the brain. Finally, we discriminated between cortical regions that initiate the intrinsic activity propagation (sources) and cortical regions that act as destinations of the activity propagation (sinks). We found significant sources in the bilateral parietal areas and in the precuneus, and significant sinks in the left inferior temporal cortex.
AB - Functional magnetic resonance imaging (fMRI) studies in humans have recently provided evidence of intrinsic activity that propagates throughout the brain with non-zero time lags. Nevertheless, the limited temporal resolution of fMRI does not allow to characterize this lagged propagation on time scales relevant to behavior, i.e., in the 10-100 millisecond range. Thus, a millisecond resolution technique such as magnetoencephalography (MEG) is needed. Here we aim at investigating the spatiotemporal structure of intrinsic propagated activity on 61 resting state MEG subjects taken from the Human Connectome Project (HCP) database. For this purpose, we relied on a multivariate connectivity approach based on the cross-correlation between the amplitude envelopes of the alpha frequency band signals associated with cortical areas. Our findings clearly revealed that patterns of time lags between regions exist on temporal scales of tens of milliseconds, thus supporting the notion that communication by relaying signals is a central mechanism implemented by the brain. Finally, we discriminated between cortical regions that initiate the intrinsic activity propagation (sources) and cortical regions that act as destinations of the activity propagation (sinks). We found significant sources in the bilateral parietal areas and in the precuneus, and significant sinks in the left inferior temporal cortex.
UR - http://www.scopus.com/inward/record.url?scp=85076763357&partnerID=8YFLogxK
U2 - 10.1109/SMC.2019.8914571
DO - 10.1109/SMC.2019.8914571
M3 - Conference contribution
AN - SCOPUS:85076763357
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 2762
EP - 2766
BT - 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
Y2 - 6 October 2019 through 9 October 2019
ER -