Neurobiological measures of human selective attention.

Details

Serval ID
serval:BIB_B451B8BE8A9F
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Title
Neurobiological measures of human selective attention.
Journal
Neuropsychologia
Author(s)
Driver J., Frackowiak R.S.
ISSN
0028-3932 (Print)
ISSN-L
0028-3932
Publication state
Published
Issued date
2001
Volume
39
Number
12
Pages
1257-1262
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't ; ReviewPublication Status: ppublish
Abstract
Selective attention allows people to process some stimuli more thoroughly than others. This is partly under voluntary control, and partly determined by stimulus salience. Selective attention has been studied with psychological methods for many years, but recent cognitive neuroscience studies using brain-imaging methods (and other neurobiological measures) have transformed the topic. Such studies have demonstrated that sensory processing can be strongly modulated by attention throughout perceptual networks, including even processing in primary sensory cortex. They have shown that some of these modulations can be anticipatory, arising prior to stimulus presentation, while other components reflect a changed neural response to an incoming stimulus. Recent imaging studies have also examined the mechanisms involved in controlling such attentional modulation of sensory processing. In addition to answering many long-standing questions about selective attention, such research also raises new questions. The various contributions in this volume provide an overview of the spectacular recent advances in attention research using neurobiological measures, and they outline critical issues to be resolved in the future.
Keywords
Attention/physiology, Brain/anatomy & histology, Brain/metabolism, Cognition/physiology, Evoked Potentials/physiology, Humans, Magnetic Resonance Imaging, Magnetoencephalography/methods, Perception/physiology, Tomography, Emission-Computed
Pubmed
Web of science
Create date
12/09/2011 20:08
Last modification date
20/08/2019 16:22
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