Literature DB >> 12543447

Paradox lost? Exploring the role of alpha oscillations during externally vs. internally directed attention and the implications for idling and inhibition hypotheses.

Nicholas R Cooper1, Rodney J Croft, Samuel J J Dominey, Adrian P Burgess, John H Gruzelier.   

Abstract

Although slow waves of the electroencephalogram (EEG) have been associated with attentional processes, the functional significance of the alpha component in the EEG (8.1-12 Hz) remains uncertain. Conventionally, synchronisation in the alpha frequency range is taken to be a marker of cognitive inactivity, i.e. 'cortical idling'. However, it has been suggested that alpha may index the active inhibition of sensory information during internally directed attentional tasks such as mental imagery. More recently, this idea has been amended to encompass the notion of alpha synchronisation as a means of inhibition of non-task relevant cortical areas irrespective of the direction of attention. Here we test the adequacy of the one idling and two inhibition hypotheses about alpha. In two experiments we investigated the relation between alpha and internally vs. externally directed attention using mental imagery vs. sensory-intake paradigms. Results from both experiments showed a clear relationship between alpha and both attentional factors and increased task demands. At various scalp sites alpha amplitudes were greater during internally directed attention and during increased load, results incompatible with alpha reflecting cortical idling and more in keeping with suggestions of active inhibition necessary for internally driven mental operations.

Mesh:

Year:  2003        PMID: 12543447     DOI: 10.1016/s0167-8760(02)00107-1

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  139 in total

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2.  Parieto-occipital sources account for the increase in alpha activity with working memory load.

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3.  A theory of working memory without consciousness or sustained activity.

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Journal:  Elife       Date:  2017-07-18       Impact factor: 8.140

4.  Interrelations between motivational stance, cortical excitability, and the frontal electroencephalogram asymmetry of emotion: a transcranial magnetic stimulation study.

Authors:  Dennis J L G Schutter; Antoin D de Weijer; Julia D I Meuwese; Barak Morgan; Jack van Honk
Journal:  Hum Brain Mapp       Date:  2008-05       Impact factor: 5.038

5.  The creative brain: investigation of brain activity during creative problem solving by means of EEG and FMRI.

Authors:  Andreas Fink; Roland H Grabner; Mathias Benedek; Gernot Reishofer; Verena Hauswirth; Maria Fally; Christa Neuper; Franz Ebner; Aljoscha C Neubauer
Journal:  Hum Brain Mapp       Date:  2009-03       Impact factor: 5.038

6.  Dissociation between phase-locked and nonphase-locked alpha oscillations in a working memory task.

Authors:  Roman Freunberger; Robert Fellinger; Paul Sauseng; Walter Gruber; Wolfgang Klimesch
Journal:  Hum Brain Mapp       Date:  2009-10       Impact factor: 5.038

7.  Whole genome sequence association and ancestry-informed polygenic profile of EEG alpha in a Native American population.

Authors:  Qian Peng; Nicholas J Schork; Kirk C Wilhelmsen; Cindy L Ehlers
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2017-04-24       Impact factor: 3.568

8.  ADHD familial loading and abnormal EEG alpha asymmetry in children with ADHD.

Authors:  T Sigi Hale; Susan L Smalley; Jeff Dang; Grant Hanada; James Macion; James T McCracken; James J McGough; Sandra K Loo
Journal:  J Psychiatr Res       Date:  2009-12-16       Impact factor: 4.791

Review 9.  The role of oscillations and synchrony in cortical networks and their putative relevance for the pathophysiology of schizophrenia.

Authors:  Peter J Uhlhaas; Corinna Haenschel; Danko Nikolić; Wolf Singer
Journal:  Schizophr Bull       Date:  2008-06-17       Impact factor: 9.306

10.  Coupling between visual alpha oscillations and default mode activity.

Authors:  Jue Mo; Yuelu Liu; Haiqing Huang; Mingzhou Ding
Journal:  Neuroimage       Date:  2012-12-08       Impact factor: 6.556

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