Literature DB >> 7508852

Mapping P300 waves onto inhibition: Go/No-Go discrimination.

L E Roberts1, H Rau, W Lutzenberger, N Birbaumer.   

Abstract

Subjects viewed letters presented at 2 sec intervals and prepared a fast button press whenever an "O" appeared. If the next letter was an "X" the button press was executed (Go signal), but if the letter was a non-X character (T, H, Z) suppression of the response was required (No-Go cue). No-Go signals elicited a P300-like wave that was larger at central and frontal scalp sites contralateral to the prepared movement, compared to P300s elicited by Go cues which were symmetric about the sagittal midline and dominant at parietal sites. Subtraction of preparatory CNVs from the No-Go P300 did not remove differences in scalp topography, or reduce the amplitude of the No-Go P300 to that seen following control letters that required perceptual identification but did not call for suppression of prepared motor responses. Principal components analysis identified a middle positive wave following X-alone control stimuli whose topography resembled the No-Go P300. These findings suggest that the source of augmented No-Go P300s is a generator involved with sensorimotor inhibition. We discuss the mechanism of P300 waves and evidence linking these waves with inhibition in other task arrangements.

Entities:  

Mesh:

Year:  1994        PMID: 7508852     DOI: 10.1016/0168-5597(94)90006-x

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  25 in total

1.  Error-related brain activation during a Go/NoGo response inhibition task.

Authors:  V Menon; N E Adleman; C D White; G H Glover; A L Reiss
Journal:  Hum Brain Mapp       Date:  2001-03       Impact factor: 5.038

2.  The NoGo P300 'anteriorization' effect and response inhibition.

Authors:  Dean F Salisbury; Carlye B Griggs; Martha E Shenton; Robert W McCarley
Journal:  Clin Neurophysiol       Date:  2004-07       Impact factor: 3.708

3.  Age-related differences in transfer costs: evidence from go/nogo tasks.

Authors:  Antonino Vallesi; Lynn Hasher; Donald T Stuss
Journal:  Psychol Aging       Date:  2010-12

4.  Differential effects of age and executive functions on the resolution of the contingent negative variation: a reexamination of the frontal aging theory.

Authors:  Georg Dirnberger; Wilfried Lang; Gerald Lindinger
Journal:  Age (Dordr)       Date:  2010-03-13

5.  ERP dynamics underlying successful directed forgetting of neutral but not negative pictures.

Authors:  Anne Hauswald; Hannah Schulz; Todor Iordanov; Johanna Kissler
Journal:  Soc Cogn Affect Neurosci       Date:  2010-07-02       Impact factor: 3.436

6.  Stimulus-response correspondence in go-nogo and choice tasks: Are reactions altered by the presence of an irrelevant salient object?

Authors:  Mei-Ching Lien; Logan Pedersen; Robert W Proctor
Journal:  Psychol Res       Date:  2015-08-30

7.  Inhibiting prepotent responses in the elderly: Distraction and disinhibition.

Authors:  Shulan Hsieh; Mengyao Wu; Chien-Hui Tang
Journal:  Cogn Affect Behav Neurosci       Date:  2016-02       Impact factor: 3.282

8.  Neural Correlates of Response Inhibition in Adolescents Prospectively Predict Regular Tobacco Smoking.

Authors:  Andrey P Anokhin; Simon Golosheykin
Journal:  Dev Neuropsychol       Date:  2016 Jan-Mar       Impact factor: 2.253

9.  Spatial-anatomical mapping of NoGo-P3 in the offspring of alcoholics: evidence of cognitive and neural disinhibition as a risk for alcoholism.

Authors:  Chella Kamarajan; Bernice Porjesz; Kevin A Jones; David B Chorlian; Ajayan Padmanabhapillai; Madhavi Rangaswamy; Arthur T Stimus; Henri Begleiter
Journal:  Clin Neurophysiol       Date:  2005-05       Impact factor: 3.708

10.  Alcoholism is a disinhibitory disorder: neurophysiological evidence from a Go/No-Go task.

Authors:  Chella Kamarajan; Bernice Porjesz; Kevin A Jones; Keewhan Choi; David B Chorlian; Ajayan Padmanabhapillai; Madhavi Rangaswamy; Arthur T Stimus; Henri Begleiter
Journal:  Biol Psychol       Date:  2004-11-21       Impact factor: 3.251

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