Literature DB >> 20156573

Association of individual resting state EEG alpha frequency and cerebral blood flow.

Kay Jann1, Thomas Koenig, Thomas Dierks, Chris Boesch, Andrea Federspiel.   

Abstract

Cognitive task performance differs considerably between individuals. Besides cognitive capacities, attention might be a source of such differences. The individual's EEG alpha frequency (IAF) is a putative marker of the subject's state of arousal and attention, and was found to be associated with task performance and cognitive capacities. However, little is known about the metabolic substrate (i.e. the network) underlying IAF. Here we aimed to identify this network. Correlation of IAF with regional Cerebral Blood Flow (rCBF) in fifteen young healthy subjects revealed a network of brain areas that are associated with the modulation of attention and preparedness for external input, which are relevant for task execution. We hypothesize that subjects with higher IAF have pre-activated task-relevant networks and thus are both more efficient in the task-execution, and show a reduced fMRI-BOLD response to the stimulus, not because the absolute amount of activation is smaller, but because the additional activation by processing of external input is limited due to the higher baseline. Copyright (c) 2010 Elsevier Inc. All rights reserved.

Mesh:

Year:  2010        PMID: 20156573     DOI: 10.1016/j.neuroimage.2010.02.024

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  28 in total

1.  Linking brain connectivity across different time scales with electroencephalogram, functional magnetic resonance imaging, and diffusion tensor imaging.

Authors:  Kay Jann; Andrea Federspiel; Stéphanie Giezendanner; Jennifer Andreotti; Mara Kottlow; Thomas Dierks; Thomas Koenig
Journal:  Brain Connect       Date:  2012

2.  Functional brain network efficiency predicts intelligence.

Authors:  Nicolas Langer; Andreas Pedroni; Lorena R R Gianotti; Jürgen Hänggi; Daria Knoch; Lutz Jäncke
Journal:  Hum Brain Mapp       Date:  2011-05-09       Impact factor: 5.038

3.  Implication of cerebral circulation time in intracranial stenosis measured by digital subtraction angiography on cerebral blood flow estimation measured by arterial spin labeling.

Authors:  Kay Jann; Martinus Hauf; Frauke Kellner Weldon; Marwan El Koussy; Claus Kiefer; Andrea Federspiel; Gerhard Schroth
Journal:  Diagn Interv Radiol       Date:  2016 Sep-Oct       Impact factor: 2.630

4.  Abnormal Coupling Between Default Mode Network and Delta and Beta Band Brain Electric Activity in Psychotic Patients.

Authors:  Anja Baenninger; Vanessa A Palzes; Brian J Roach; Daniel H Mathalon; Judith M Ford; Thomas Koenig
Journal:  Brain Connect       Date:  2017-01-24

5.  Acute Effects of an Incremental Exercise Test on Psychophysiological Variables and Their Interaction.

Authors:  Alexander T John; Johanna Wind; Fabian Horst; Wolfgang I Schöllhorn
Journal:  J Sports Sci Med       Date:  2020-08-13       Impact factor: 2.988

6.  Global fluctuations of cerebral blood flow indicate a global brain network independent of systemic factors.

Authors:  Li Zhao; David C Alsop; John A Detre; Weiying Dai
Journal:  J Cereb Blood Flow Metab       Date:  2017-08-17       Impact factor: 6.200

7.  Development of Point of Care Testing Device for Neurovascular Coupling From Simultaneous Recording of EEG and NIRS During Anodal Transcranial Direct Current Stimulation.

Authors:  Utkarsh Jindal; Mehak Sood; Anirban Dutta; Shubhajit Roy Chowdhury
Journal:  IEEE J Transl Eng Health Med       Date:  2015-01-16       Impact factor: 3.316

8.  Increased Striatal and Reduced Prefrontal Cerebral Blood Flow in Clinical High Risk for Psychosis.

Authors:  Jochen Kindler; Frauke Schultze-Lutter; Martinus Hauf; Thomas Dierks; Andrea Federspiel; Sebastian Walther; Benno G Schimmelmann; Daniela Hubl
Journal:  Schizophr Bull       Date:  2018-01-13       Impact factor: 9.306

9.  EEG correlates of time-varying BOLD functional connectivity.

Authors:  Catie Chang; Zhongming Liu; Michael C Chen; Xiao Liu; Jeff H Duyn
Journal:  Neuroimage       Date:  2013-01-31       Impact factor: 6.556

10.  Parametric study of transcranial alternating current stimulation for brain alpha power modulation.

Authors:  Beatrice P De Koninck; Samuel Guay; Hélène Blais; Louis De Beaumont
Journal:  Brain Commun       Date:  2021-02-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.