Negative correlation of P50 peak latencies and reaction times in a simple reaction task

For 20 subjects reaction times and force of response were measured on a simple reaction time task to visual stimuli while activation was manipulated by occasionally delivering a noninformative electrical shock. In blocks in which shocks were delivered, forces of response were larger than those in control blocks without shocks. The results are discussed in terms of Sanders' mode! of stress.

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Manipulations of the Response-Stimulus Intervals as a Factor Inducing Controlled Amount of Reaction Time Intra-Individual Variability

Brain Sciences ◽

10.3390/brainsci11050669 ◽

2021 ◽

Vol 11 (5) ◽

pp. 669

Author(s):

Paweł Krukow ◽

Małgorzata Plechawska-Wójcik ◽

Arkadiusz Podkowiński

Keyword(s):

Reaction Time ◽

Simple Reaction Time ◽

Reaction Times ◽

Reaction Time Task ◽

Assessment Method ◽

Individual Variability ◽

Simple Reaction Time Task ◽

Stimulus Interval ◽

Simple Reaction ◽

Response Stimulus

Aggrandized fluctuations in the series of reaction times (RTs) are a very sensitive marker of neurocognitive disorders present in neuropsychiatric populations, pathological ageing and in patients with acquired brain injury. Even though it was documented that processing inconsistency founds a background of higher-order cognitive functions disturbances, there is a vast heterogeneity regarding types of task used to compute RT-related variability, which impedes determining the relationship between elementary and more complex cognitive processes. Considering the above, our goal was to develop a relatively new assessment method based on a simple reaction time paradigm, conducive to eliciting a controlled range of intra-individual variability. It was hypothesized that performance variability might be induced by manipulation of response-stimulus interval’s length and regularity. In order to verify this hypothesis, a group of 107 healthy students was tested using a series of digitalized tasks and their results were analyzed using parametric and ex-Gaussian statistics of RTs distributional markers. In general, these analyses proved that intra-individual variability might be evoked by a given type of response-stimulus interval manipulation even when it is applied to the simple reaction time task. Collected outcomes were discussed with reference to neuroscientific concepts of attentional resources and functional neural networks.

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Indicators of Targeted Physical Fitness in Judo and Jujutsu—Preliminary Results of Research

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18084347 ◽

2021 ◽

Vol 18 (8) ◽

pp. 4347

Author(s):

Wojciech J. Cynarski ◽

Jan Słopecki ◽

Bartosz Dziadek ◽

Peter Böschen ◽

Paweł Piepiora

Keyword(s):

Reaction Time ◽

Visual Stimulation ◽

Intrinsic Value ◽

Reaction Times ◽

Arithmetic Means ◽

Simple Reaction ◽

Martial Art ◽

Student’S T ◽

Pearson Correlations ◽

Student’S T Test

(1) Study aim: This is a comparative study for judo and jujutsu practitioners. It has an intrinsic value. The aim of this study was to showcase a comparison of practitioners of judo and a similar martial art jujutsu with regard to manual abilities. The study applied the measurement of simple reaction time in response to a visual stimulus and handgrip measurement. (2) Materials and Methods: The group comprising N = 69 black belts from Poland and Germany (including 30 from judo and 39 from jujutsu) applied two trials: “grasping of Ditrich rod” and dynamometric handgrip measurement. The analysis of the results involved the calculations of arithmetic means, standard deviations, and Pearson correlations. Analysis of the differences (Mann–Whitney U test) and Student’s t-test were also applied to establish statistical differences. (3) Results: In the test involving handgrip measurement, the subjects from Poland (both those practicing judo and jujutsu) gained better results compared to their German counterparts. In the test involving grasping of Ditrich rod, a positive correlation was demonstrated in the group of German judokas between the age and reaction time of the subjects (rxy = 0.66, p < 0.05), as well as in the group of jujutsu subjects between body weight and the reaction time (rxy = 0.49, p < 0.05). A significant and strong correlation between handgrip and weight was also established for the group of German judokas (rxy = 0.75, p < 0.05). In Polish competitors, the correlations were only established between the age and handgrip measurements (rxy = 0.49, p < 0.05). (4) Conclusions: Simple reaction times in response to visual stimulation were shorter in the subjects practicing the martial art jujutsu. However, the statement regarding the advantage of the judokas in terms of handgrip force was not confirmed by the results.

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Temporal order judgment and simple reaction times: Evidence for a common processing system

Journal of Vision ◽

10.1167/7.6.11 ◽

2007 ◽

Vol 7 (6) ◽

pp. 11 ◽

Cited By ~ 22

Author(s):

Pedro Cardoso-Leite ◽

Andrei Gorea ◽

Pascal Mamassian

Keyword(s):

Temporal Order ◽

Temporal Order Judgment ◽

Reaction Times ◽

Processing System ◽

Simple Reaction

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Correction: Simple reaction times to cyclopean stimuli reveal that the binocular system is tuned to react faster to near than to far objects

PLoS ONE ◽

10.1371/journal.pone.0202358 ◽

2018 ◽

Vol 13 (8) ◽

pp. e0202358

Author(s):

Gábor Horváth ◽

Vanda A. Nemes ◽

János Radó ◽

András Czigler ◽

Béla Török ◽

...

Keyword(s):

Reaction Times ◽

Simple Reaction

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Influences of Respiratory Cycle on Simple Reaction Time

Perceptual and Motor Skills ◽

10.2466/pms.1965.20.3.961 ◽

1965 ◽

Vol 20 (3) ◽

pp. 961-966 ◽

Cited By ~ 18

Author(s):

Monte Buchsbaum ◽

Enoch Callaway

Keyword(s):

Reaction Time ◽

Spontaneous Breathing ◽

Simple Reaction Time ◽

Reaction Times ◽

Respiratory Cycle ◽

Simple Reaction ◽

Warning Light ◽

Respiratory Phase ◽

Auditory Reaction Time ◽

Phase Data

The effect of respiration on simple auditory reaction time was studied. In the first study, reaction times and respiratory phase data were collected during spontaneous breathing; in Study 2, a warning light signaled S to hold his breath in either inspiration or expiration. Both experiments showed faster reaction times with expiration. This is contradictory to reaction time findings reported by other investigators who have studied effects of respiration.

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Comparison between Auditory and Visual Simple Reaction Times

Neuroscience &amp Medicine ◽

10.4236/nm.2010.11004 ◽

2010 ◽

Vol 01 (01) ◽

pp. 30-32 ◽

Cited By ~ 76

Author(s):

Jose Shelton ◽

Gideon Praveen Kumar

Keyword(s):

Reaction Times ◽

Simple Reaction

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Evaluating the Recovery Curve for Clinically Assessed Reaction Time After Concussion

Journal of Athletic Training ◽

10.4085/1062-6050-52.6.02 ◽

2017 ◽

Vol 52 (8) ◽

pp. 766-770 ◽

Cited By ~ 1

Author(s):

Gianluca Del Rossi

Keyword(s):

High School ◽

Reaction Time ◽

Athletic Training ◽

Simple Reaction Time ◽

Reaction Times ◽

High School Athletes ◽

Time Intervals ◽

Simple Reaction ◽

Baseline Levels ◽

Clinical Measures

Context: A change in reaction time is one of various clinical measures of neurocognitive function that can be monitored after concussion and has been reported to be among the most sensitive indicators of cognitive impairment. Objective: To determine the timeline for clinically assessed simple reaction time to return to baseline after a concussion in high school athletes. Design: Observational study. Setting: Athletic training room. Patients or Other Participants: Twenty-one high school-aged volunteers. Intervention(s): Participants completed 8 trials of the ruler-drop test during each session. Along with baseline measures, a total of 6 additional test sessions were completed over the course of 4 weeks after a concussion (days 3, 7, 10, 14, 21, and 28). Main Outcome Measure(s): The mean reaction times calculated for all participants from each of the 7 test sessions were analyzed to assess the change in reaction time over the 7 time intervals. Results: After a concussion and compared with baseline, simple reaction time was, on average, 26 milliseconds slower at 48 to 72 hours postinjury (P < .001), almost 18 milliseconds slower on day 7 (P < .001), and about 9 milliseconds slower on day 10 (P < .001). Simple reaction time did not return to baseline levels until day 14 postinjury. Conclusions: Clinically assessed simple reaction time appeared to return to baseline levels within a timeframe that mirrors other measures of cognitive performance (approximately 14 days).

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