Literature DB >> 11566309

Neurobiological measures of human selective attention.

J Driver1, R S Frackowiak.   

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.

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Year:  2001        PMID: 11566309     DOI: 10.1016/s0028-3932(01)00115-4

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  14 in total

1.  Modulation of excitatory and inhibitory circuits for visual awareness in the human right parietal cortex.

Authors:  Giacomo Koch; Massimiliano Oliveri; Sara Torriero; Carlo Caltagirone
Journal:  Exp Brain Res       Date:  2004-10-08       Impact factor: 1.972

Review 2.  Selection from perceptual and conceptual representations.

Authors:  Irene P Kan; Sharon L Thompson-Schill
Journal:  Cogn Affect Behav Neurosci       Date:  2004-12       Impact factor: 3.282

3.  The neural correlates of feature-based selective attention when viewing spatially and temporally overlapping images.

Authors:  Jun Wang; Brett A Clementz; Andreas Keil
Journal:  Neuropsychologia       Date:  2006-12-11       Impact factor: 3.139

4.  Preparatory allocation of attention and adjustments in conflict processing.

Authors:  Tracy L Luks; Gregory V Simpson; Corby L Dale; Morgan G Hough
Journal:  Neuroimage       Date:  2007-01-29       Impact factor: 6.556

5.  Preparatory neural activity predicts performance on a conflict task.

Authors:  Emily R Stern; Tor D Wager; Tobias Egner; Joy Hirsch; Jennifer A Mangels
Journal:  Brain Res       Date:  2007-08-09       Impact factor: 3.252

6.  Repeated Treadmill Sprints Impair Cognitive Performance in Amateur Team-Sport Athletes When Performed in Normobaric Hypoxia.

Authors:  Jaime D Morrison; Karlee Quinn; Luke A MacDonald; Francois Billaut; Clare Minahan
Journal:  J Sports Sci Med       Date:  2019-06-01       Impact factor: 2.988

7.  Functional Characterization of the Cingulo-Opercular Network in the Maintenance of Tonic Alertness.

Authors:  Sepideh Sadaghiani; Mark D'Esposito
Journal:  Cereb Cortex       Date:  2014-04-25       Impact factor: 5.357

8.  Impaired cognition and attention in adults: pharmacological management strategies.

Authors:  Hervé Allain; Yvette Akwa; Lucette Lacomblez; Alain Lieury; Danièle Bentué-Ferrer
Journal:  Neuropsychiatr Dis Treat       Date:  2007-02       Impact factor: 2.570

9.  Distinct causal influences of parietal versus frontal areas on human visual cortex: evidence from concurrent TMS-fMRI.

Authors:  Christian C Ruff; Sven Bestmann; Felix Blankenburg; Otto Bjoertomt; Oliver Josephs; Nikolaus Weiskopf; Ralf Deichmann; Jon Driver
Journal:  Cereb Cortex       Date:  2007-07-25       Impact factor: 5.357

Review 10.  Modulation of visual processing by attention and emotion: windows on causal interactions between human brain regions.

Authors:  Patrik Vuilleumier; Jon Driver
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-05-29       Impact factor: 6.237

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