Literature DB >> 9126851

Attentional factors in response time variability after traumatic brain injury: an ERP study.

S J Segalowitz1, J Dywan, A Unsal.   

Abstract

Reaction time (RT) is often used in the assessment of patients with traumatic brain injury (TBI), presumably because it reflects either information processing speed or attentional capacity. To clarify this distinction, we examined behavioral RT and the within-subject variability of RT as they relate to electrophysiological measures of attention and information processing. These include the P300 latency, which reflects stimulus evaluation time, P300 amplitude, which reflects attentional allocation, and the preresponse component of the contingent negative variation (CNV), which reflects sustained attention. We found that the latency and variability in behavioral RT were not correlated with the latency or variability of the P300, suggesting that stimulus evaluation time is not a major contributor to RT and its variability in this paradigm. However, among normal controls, RT was related to P300 amplitude, and therefore to attentional allocation. For the TBI subjects, it was the variability, not the speed, of RT that was related to P300 amplitude and to the preresponse component of the CNV. These data suggest that, while in normal controls RT reflects attentional allocation, among TBI subjects it is the variability in RT that is sensitive to the ability to allocate and sustain attention.

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Year:  1997        PMID: 9126851

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  26 in total

1.  The relationship between reaction time and response variability and somatosensory No-go potentials.

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Journal:  Eur J Appl Physiol       Date:  2011-04-26       Impact factor: 3.078

2.  Regulation of cognitive resources during an n-back task in youth-onset psychosis and attention-deficit/hyperactivity disorder (ADHD).

Authors:  Canan Karatekin; Christopher Bingham; Tonya White
Journal:  Int J Psychophysiol       Date:  2009-05-07       Impact factor: 2.997

Review 3.  The predictive brain state: asynchrony in disorders of attention?

Authors:  Jamshid Ghajar; Richard B Ivry
Journal:  Neuroscientist       Date:  2008-12-12       Impact factor: 7.519

4.  Frequency-specific coupling between trial-to-trial fluctuations of neural responses and response-time variability.

Authors:  Nicoletta Adamo; Sarah Baumeister; Sarah Hohmann; Isabella Wolf; Nathalie Holz; Regina Boecker; Manfred Laucht; Tobias Banaschewski; Daniel Brandeis
Journal:  J Neural Transm (Vienna)       Date:  2015-02-28       Impact factor: 3.575

Review 5.  Somato-motor inhibitory processing in humans: evidence from neurophysiology and neuroimaging.

Authors:  Hiroki Nakata; Kiwako Sakamoto; Yukiko Honda; Ryusuke Kakigi
Journal:  J Physiol Sci       Date:  2014-05-24       Impact factor: 2.781

6.  Detection of Subtle Cognitive Changes after mTBI Using a Novel Tablet-Based Task.

Authors:  Tara D Fischer; Stuart D Red; Alice Z Chuang; Elizabeth B Jones; James J McCarthy; Saumil S Patel; Anne B Sereno
Journal:  J Neurotrauma       Date:  2015-11-19       Impact factor: 5.269

7.  RT distributional analysis of cognitive-control-related brain activity in first-episode schizophrenia.

Authors:  Catherine Fassbender; Katie Scangos; Tyler A Lesh; Cameron S Carter
Journal:  Cogn Affect Behav Neurosci       Date:  2014-03       Impact factor: 3.282

8.  Varieties of attention-deficit/hyperactivity disorder-related intra-individual variability.

Authors:  F Xavier Castellanos; Edmund J S Sonuga-Barke; Anouk Scheres; Adriana Di Martino; Christopher Hyde; Judith R Walters
Journal:  Biol Psychiatry       Date:  2005-01-28       Impact factor: 13.382

Review 9.  Reaction time variability in ADHD: a review.

Authors:  Leanne Tamm; Megan E Narad; Tanya N Antonini; Kathleen M O'Brien; Larry W Hawk; Jeffery N Epstein
Journal:  Neurotherapeutics       Date:  2012-07       Impact factor: 7.620

10.  Increased response variability as a marker of executive dysfunction in veterans with post-traumatic stress disorder.

Authors:  Diane Swick; Nikki Honzel; Jary Larsen; Victoria Ashley
Journal:  Neuropsychologia       Date:  2013-10-21       Impact factor: 3.139

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