Detail publikace

EEG spatiospectral patterns and their link to fMRI BOLD signal via variable hemodynamic response functions

LABOUNEK, R. BRIDWELL, D. MAREČEK, R. LAMOŠ, M. MIKL, M. BEDNAŘÍK, P. BAŠTINEC, J. SLAVÍČEK, T. HLUŠTÍK, P. BRÁZDIL, M. JAN, J.

Originální název

EEG spatiospectral patterns and their link to fMRI BOLD signal via variable hemodynamic response functions

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Spatial and temporal resolution of brain network activity can be improved by combining different modalities. Functional Magnetic Resonance Imaging (fMRI) provides full brain coverage with limited temporal resolution, while electroencephalography (EEG), estimates cortical activity with high temporal resolution. Combining them may provide improved network characterization. We examined relationships between EEG spatiospectral pattern timecourses and concurrent fMRI BOLD signals using canonical hemodynamic response function (HRF) with its 1st and 2nd temporal derivatives in voxel-wise general linear models (GLM). HRF shapes were derived from EEG-fMRI time courses during “resting-state”, visual oddball and semantic decision paradigms. The resulting GLM F-maps self-organized into several different large-scale brain networks (LSBNs) often with different timing between EEG and fMRI revealed through differences in GLM-derived HRF shapes (e.g., with a lower time to peak than the canonical HRF). We demonstrate that some EEG spatiospectral patterns (related to concurrent fMRI) are weakly task-modulated. Previously, we demonstrated 14 independent EEG spatiospectral patterns within this EEG dataset, stable across the resting-state, visual oddball and semantic decision paradigms. Here, we demonstrate that their time courses are significantly correlated with fMRI dynamics organized into LSBN structures. EEG-fMRI derived HRF peak appears earlier than the canonical HRF peak, which suggests limitations when assuming a canonical HRF shape in EEG-fMRI. This is the first study examining EEG-fMRI relationships among independent EEG spatiospectral patterns over different paradigms. The findings highlight the importance of considering different HRF shapes when spatiotemporally characterizing brain networks using EEG and fMRI.

Klíčová slova

Simultaneous EEG-fMRIGroup-ICASpatiospectral patternsLarge scale brain networksMulti-subject blind source separationResting-stateSemantic decisionVisual oddball

Autoři

LABOUNEK, R.; BRIDWELL, D.; MAREČEK, R.; LAMOŠ, M.; MIKL, M.; BEDNAŘÍK, P.; BAŠTINEC, J.; SLAVÍČEK, T.; HLUŠTÍK, P.; BRÁZDIL, M.; JAN, J.

Vydáno

15. 4. 2019

Nakladatel

Elsevier

ISSN

0165-0270

Periodikum

JOURNAL OF NEUROSCIENCE METHODS

Ročník

2019

Číslo

318

Stát

Nizozemsko

Strany od

34

Strany do

46

Strany počet

13

URL

https://www.sciencedirect.com/science/article/pii/S0165027019300597

BibTex

@article{BUT156054,
  author="René {Labounek} and David {Bridwell} and Radek {Mareček} and Martin {Lamoš} and Michal {Mikl} and Petr {Bednařík} and Jaromír {Baštinec} and Tomáš {Slavíček} and Petr {Hluštík} and Milan {Brázdil} and Jiří {Jan}",
  title="EEG spatiospectral patterns and their link to fMRI BOLD signal via variable hemodynamic response functions",
  journal="JOURNAL OF NEUROSCIENCE METHODS",
  year="2019",
  volume="2019",
  number="318",
  pages="34--46",
  doi="10.1016/j.jneumeth.2019.02.012",
  issn="0165-0270",
  url="https://www.sciencedirect.com/science/article/pii/S0165027019300597"
}