scholarly journals Single-trial prediction of reaction time variability from MEG brain activity

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Ryu Ohata ◽  
Kenji Ogawa ◽  
Hiroshi Imamizu
Keyword(s):  
Reaction Time ◽  
Brain Activity ◽  
Time Variability ◽  
Single Trial ◽  
Reaction Time Variability

Effects of reaction time variability and age on brain activity during Stroop task performance

2014 ◽  
Vol 9 (3) ◽  
pp. 609-618 ◽  
Author(s):  
Angela Tam ◽  
Angela C. Luedke ◽  
Jeremy J. Walsh ◽  
Juan Fernandez-Ruiz ◽  
Angeles Garcia
Keyword(s):  
Reaction Time ◽  
Task Performance ◽  
Stroop Task ◽  
Brain Activity ◽  
Time Variability ◽  
Reaction Time Variability

scholarly journals Slow fluctuations in ongoing brain activity decrease in amplitude with ageing yet their impact on task-related evoked responses is dissociable from behaviour

2021 ◽  
Author(s):  
Maria J. Ribeiro ◽  
Miguel Castelo-Branco
Keyword(s):  
Reaction Time ◽  
Brain Activity ◽  
Time Variability ◽  
Evoked Responses ◽  
Older Individuals ◽  
Neural Responses ◽  
Reaction Time Variability ◽  
Brain Responses ◽  
Electroencephalogram Eeg ◽  
Signal Variability

In humans, ageing is characterized by decreased brain signal variability and increased behavioural variability. To understand how reduced brain variability segregates with increased behavioural variability, we investigated the association between reaction time variability, evoked brain responses and ongoing brain signal dynamics, in young (N = 36) and older adults (N = 39). We studied the electroencephalogram (EEG) and pupil size fluctuations to characterize the cortical and arousal responses elicited by a cued go/no-go task. Evoked responses were strongly modulated by slow (< 2 Hz) fluctuations of the ongoing signals, which presented reduced power in the older participants. Although variability of the evoked responses was lower in the older participants, once we adjusted for the effect of the ongoing signal fluctuations, evoked responses were equally variable in both groups. Moreover, the modulation of the evoked responses caused by the ongoing signal fluctuations had no impact on reaction time, thereby explaining why although ongoing brain signal variability is decreased in older individuals, behavioural variability is not. Finally, we showed that adjusting for the effect of the ongoing signal was critical to unmask the link between neural responses and behaviour.

Is reaction time variability consistent across sensory modalities? Insights from latent variable analysis of single-trial P3b latencies

2012 ◽  
Vol 91 (2) ◽  
pp. 275-282 ◽  
Author(s):  
Christopher W.N. Saville ◽  
Sailee Shikhare ◽  
Sarayu Iyengar ◽  
David Daley ◽  
James Intriligator ◽  
...  
Keyword(s):  
Reaction Time ◽  
Latent Variable ◽  
Time Variability ◽  
Single Trial ◽  
Reaction Time Variability ◽  
Latent Variable Analysis ◽  
Sensory Modalities ◽  
Variable Analysis

scholarly journals Reaction Time Variability and Related Brain Activity in Methamphetamine Psychosis

2015 ◽  
Vol 77 (5) ◽  
pp. 465-474 ◽  
Author(s):  
Catherine Fassbender ◽  
Tyler A. Lesh ◽  
Stefan Ursu ◽  
Ruth Salo
Keyword(s):  
Reaction Time ◽  
Brain Activity ◽  
Time Variability ◽  
Reaction Time Variability

Neuroticism and Speed-Accuracy Tradeoff in Self-Paced Speeded Mental Addition and Comparison

2010 ◽  
Vol 31 (3) ◽  
pp. 130-137 ◽  
Author(s):  
Hagen C. Flehmig ◽  
Michael B. Steinborn ◽  
Karl Westhoff ◽  
Robert Langner
Keyword(s):  
Reaction Time ◽  
Response Speed ◽  
Time Variability ◽  
Reaction Time Variability ◽  
Comparison Task ◽  
Processing Efficiency ◽  
Mental Addition ◽  
Speed Accuracy ◽  
The Relationship ◽  
Accuracy Tradeoff

Previous research suggests a relationship between neuroticism (N) and the speed-accuracy tradeoff in speeded performance: High-N individuals were observed performing less efficiently than low-N individuals and compensatorily overemphasizing response speed at the expense of accuracy. This study examined N-related performance differences in the serial mental addition and comparison task (SMACT) in 99 individuals, comparing several performance measures (i.e., response speed, accuracy, and variability), retest reliability, and practice effects. N was negatively correlated with mean reaction time but positively correlated with error percentage, indicating that high-N individuals tended to be faster but less accurate in their performance than low-N individuals. The strengthening of the relationship after practice demonstrated the reliability of the findings. There was, however, no relationship between N and distractibility (assessed via measures of reaction time variability). Our main findings are in line with the processing efficiency theory, extending the relationship between N and working style to sustained self-paced speeded mental addition.

scholarly journals Lateralization of attention in adults with ADHD: Evidence of pseudoneglect

2020 ◽  
Vol 63 (1) ◽  
Author(s):  
Bartosz Helfer ◽  
Stefanos Maltezos ◽  
Elizabeth Liddle ◽  
Jonna Kuntsi ◽  
Philip Asherson
Keyword(s):  
Reaction Time ◽  
Visual Field ◽  
Reaction Times ◽  
Study Participant ◽  
Reaction Time Task ◽  
Right Visual Field ◽  
Time Variability ◽  
Incentive Condition ◽  
Reaction Time Variability ◽  
The Right

Abstract Background. We investigated whether adults with attention-deficit/hyperactivity disorder (ADHD) show pseudoneglect—preferential allocation of attention to the left visual field (LVF) and a resulting slowing of mean reaction times (MRTs) in the right visual field (RVF), characteristic of neurotypical (NT) individuals —and whether lateralization of attention is modulated by presentation speed and incentives. Method. Fast Task, a four-choice reaction-time task where stimuli were presented in LVF or RVF, was used to investigate differences in MRT and reaction time variability (RTV) in adults with ADHD (n = 43) and NT adults (n = 46) between a slow/no-incentive and fast/incentive condition. In the lateralization analyses, pseudoneglect was assessed based on MRT, which was calculated separately for the LVF and RVF for each condition and each study participant. Results. Adults with ADHD had overall slower MRT and increased RTV relative to NT. MRT and RTV improved under the fast/incentive condition. Both groups showed RVF-slowing with no between-group or between-conditions differences in RVF-slowing. Conclusion. Adults with ADHD exhibited pseudoneglect, a NT pattern of lateralization of attention, which was not attenuated by presentation speed and incentives.

scholarly journals Modality differences in ERP components between somatosensory and auditory Go/No-go paradigms in prepubescent children

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259653
Author(s):  
Hiroki Nakata ◽  
Miho Takezawa ◽  
Keita Kamijo ◽  
Manabu Shibasaki
Keyword(s):  
Reaction Time ◽  
Behavioral Responses ◽  
Event Related Potentials ◽  
Error Rates ◽  
Peak Latency ◽  
Peak Amplitude ◽  
Time Variability ◽  
Commission Error ◽  
Reaction Time Variability ◽  
Related Potentials

We investigated modality differences in the N2 and P3 components of event-related potentials (ERPs) between somatosensory and auditory Go/No-go paradigms in eighteen healthy prepubescent children (mean age: 125.9±4.2 months). We also evaluated the relationship between behavioral responses (reaction time, reaction time variability, and omission and commission error rates) and amplitudes and latencies of N2 and P3 during somatosensory and auditory Go/No-go paradigms. The peak latency of No-go-N2 was significantly shorter than that of Go-N2 during somatosensory paradigms, but not during auditory paradigms. The peak amplitude of P3 was significantly larger during somatosensory than auditory paradigms, and the peak latency of P3 was significantly shorter during somatosensory than auditory paradigms. Correlations between behavioral responses and the P3 component were not found during somatosensory paradigms. On the other hand, in auditory paradigms, correlations were detected between the reaction time and peak amplitude of No-go-P3, and between the reaction time variability and peak latency of No-go-P3. A correlation was noted between commission error and the peak latency of No-go-N2 during somatosensory paradigms. Compared with previous adult studies using both somatosensory and auditory Go/No-go paradigms, the relationships between behavioral responses and ERP components would be weak in prepubescent children. Our data provide findings to advance understanding of the neural development of motor execution and inhibition processing, that is dependent on or independent of the stimulus modality.

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