000264924 001__ 264924
000264924 005__ 20190327102312.0
000264924 0247_ $$2doi$$a10.1016/j.neuroimage.2019.03.029
000264924 02470 $$a10.1016/j.neuroimage.2019.03.029$$2DOI
000264924 037__ $$aARTICLE
000264924 245__ $$aCapturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI
000264924 260__ $$c2019
000264924 269__ $$a2019
000264924 336__ $$aJournal Articles
000264924 520__ $$aThe temporal structure of self-generated cognition is a key attribute to the formation of a meaningful stream of consciousness. When at rest, our mind wanders from thought to thought in distinct mental states. Despite the marked importance of ongoing mental processes, it is challenging to capture and relate these states to specific cognitive contents. In this work, we employed ultra-high field functional magnetic resonance imaging (fMRI) and high-density electroencephalography (EEG) to study the ongoing thoughts of participants instructed to retrieve self-relevant past episodes for periods of 22sec. These task-initiated, participant-driven activity patterns were compared to a distinct condition where participants performed serial mental arithmetic operations, thereby shifting from self-related to self-unrelated thoughts. BOLD activity mapping revealed selective enhanced activity in temporal, parietal and occipital areas during the memory compared to the mental arithmetic condition, evincing their role in integrating the re-experienced past events into conscious representations during memory retrieval. Functional connectivity analysis showed that these regions were organized in two major subparts, previously associated to “scene-reconstruction” and “self-experience” subsystems. EEG microstate analysis allowed studying these participant-driven thoughts in the millisecond range by determining the temporal dynamics of brief periods of stable scalp potential fields. This analysis revealed selective modulation of occurrence and duration of specific microstates in the memory and in the mental arithmetic condition, respectively. EEG source analysis revealed similar spatial distributions of the sources of these microstates and the regions identified with fMRI. These findings imply a functional link between BOLD activity changes in regions related to a certain mental activity and the temporal dynamics of mentation, and support growing evidence that specific fMRI networks can be captured with EEG as repeatedly occurring brief periods of integrated coherent neuronal activity, lasting only fractions of seconds.
000264924 6531_ $$aCIBM-AIT
000264924 700__ $$aBréchet, Lucie
000264924 700__ $$aBrunet, Denis
000264924 700__ $$aBirot, Gwénaël
000264924 700__ $$aGruetter, Rolf
000264924 700__ $$aMichel, Christoph M.
000264924 700__ $$aJorge, João
000264924 773__ $$tNeuroImage$$j194$$q82-92
000264924 8560_ $$frolf.gruetter@epfl.ch
000264924 8564_ $$s2122148$$zFinal$$uhttps://infoscience.epfl.ch/record/264924/files/Brechet_EEGfMRI_NeuroImage_2019.pdf
000264924 909C0 $$zPasquier, Simon$$xU10984$$pLIFMET$$mrolf.gruetter@epfl.ch$$0252276
000264924 909C0 $$zPasquier, Simon$$xU12623$$pCIBM$$mrolf.gruetter@epfl.ch$$0252477
000264924 909CO $$pSB$$particle$$ooai:infoscience.epfl.ch:264924
000264924 960__ $$arolf.gruetter@epfl.ch
000264924 961__ $$apierre.devaud@epfl.ch
000264924 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000264924 980__ $$aARTICLE
000264924 981__ $$aoverwrite