PMID- 31636535
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20201001
IS  - 1662-4548 (Print)
IS  - 1662-453X (Electronic)
IS  - 1662-453X (Linking)
VI  - 13
DP  - 2019
TI  - Hemodynamic Correlates of Electrophysiological Activity in the Default Mode 
      Network.
PG  - 1060
LID - 10.3389/fnins.2019.01060 [doi]
LID - 1060
AB  - Hemodynamic fluctuations in the default mode network (DMN), observed through 
      functional magnetic resonance imaging (fMRI), have been linked to 
      electrophysiological oscillations detected by electroencephalography (EEG). It 
      has been reported that, among the electrophysiological oscillations, those in the 
      alpha frequency range (8-13 Hz) are the most dominant during resting state. We 
      hypothesized that DMN spatial configuration closely depends on the specific 
      neuronal oscillations considered, and that alpha oscillations would mainly 
      correlate with increased blood oxygen-level dependent (BOLD) signal in the DMN. 
      To test this hypothesis, we used high-density EEG (hdEEG) data simultaneously 
      collected with fMRI scanning in 20 healthy volunteers at rest. We first detected 
      the DMN from source reconstructed hdEEG data for multiple frequency bands, and we 
      then mapped the correlation between temporal profile of hdEEG-derived DMN 
      activity and fMRI-BOLD signals on a voxel-by-voxel basis. In line with our 
      hypothesis, we found that the correlation map associated with alpha oscillations, 
      more than with any other frequency bands, displayed a larger overlap with DMN 
      regions. Overall, our study provided further evidence for a primary role of alpha 
      oscillations in supporting DMN functioning. We suggest that simultaneous EEG-fMRI 
      may represent a powerful tool to investigate the neurophysiological basis of 
      human brain networks.
CI  - Copyright (c) 2019 Marino, Arcara, Porcaro and Mantini.
FAU - Marino, Marco
AU  - Marino M
AD  - Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, 
      Venice, Italy.
FAU - Arcara, Giorgio
AU  - Arcara G
AD  - Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, 
      Venice, Italy.
FAU - Porcaro, Camillo
AU  - Porcaro C
AD  - Institute of Cognitive Sciences and Technologies (ISTC) - National Research 
      Council (CNR), Rome, Italy.
AD  - S. Anna Institute and Research in Advanced Neurorehabilitation (RAN), Crotone, 
      Italy.
AD  - Department of Information Engineering, Universita Politecnica delle Marche, 
      Ancona, Italy.
AD  - Research Center for Motor Control and Neuroplasticity, KU Leuven, Leuven, 
      Belgium.
FAU - Mantini, Dante
AU  - Mantini D
AD  - Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, 
      Venice, Italy.
AD  - Research Center for Motor Control and Neuroplasticity, KU Leuven, Leuven, 
      Belgium.
LA  - eng
PT  - Journal Article
DEP - 20191004
PL  - Switzerland
TA  - Front Neurosci
JT  - Frontiers in neuroscience
JID - 101478481
PMC - PMC6788217
OTO - NOTNLM
OT  - DMN
OT  - alpha rhythm
OT  - fMRI
OT  - high-density EEG
OT  - resting state
EDAT- 2019/10/23 06:00
MHDA- 2019/10/23 06:01
PMCR- 2019/01/01
CRDT- 2019/10/23 06:00
PHST- 2019/03/29 00:00 [received]
PHST- 2019/09/20 00:00 [accepted]
PHST- 2019/10/23 06:00 [entrez]
PHST- 2019/10/23 06:00 [pubmed]
PHST- 2019/10/23 06:01 [medline]
PHST- 2019/01/01 00:00 [pmc-release]
AID - 10.3389/fnins.2019.01060 [doi]
PST - epublish
SO  - Front Neurosci. 2019 Oct 4;13:1060. doi: 10.3389/fnins.2019.01060. eCollection 
      2019.