Limb And Eye Dominance In Limb Selection In A Step And Reach Task

Step and reach movements are inherent in sport but constraints underlying preferred arm and leg combinations are unexplored. PURPOSE: To examine influences of preferred arm, leg, and eye on arm/leg combination choices in a step and reach task under varying visual field conditions. METHODS: After informed consent, 15 subjects (21.3 ± 0.8 yrs) were tested over three days for laterality performance in vision, motor skills, and response time. Response time tasks involved left or right visual cues requiring a spatially congruent left or right arm response. A center visual stimulus enabled a choice of either arm. One condition required only an arm reach (Reach), another required a step and reach (StepReach). In some conditions the subjects used both eyes or only one eye. A total of 300 trials were conducted over two days and analyzed by REANOVA for speed and limb use patterns. RESULTS: All subjects were right-handed, and 10 of 15 were right eye dominant. Speed was faster (p < .001) in the Reach (533 ± 59 ms) versus the StepReach (932 ± 164 ms) and faster (p = .009) with both eyes (713 ± 102 ms) versus left eye (742 ± 88 ms) and right eye only (742 ± 111 ms). Left-eyed persons were slower (p = .003) with center and right stimuli compared to right eyed persons, and this effect was pronounced in the StepReach condition. Post-hoc contrasts revealed different (p = .029) patterns of arm use between Reach and StepReach; in both conditions the spatially congruent arm was used 91% (± 22) of the time for left and right stimuli and the dominant right arm was used in center stimuli 81% (± 27) of the time, but in StepReach the congruent left arm in left side stimuli was used only 49% (± 40) of the time. These findings were unaffected by which eye was used or a person’s dominant eye. In StepReach the spatially congruent leg was used 60% of the time which was not significantly different than the use of the left (46%) and right (54%) legs in the center stimulus. In StepReach an ipsilateral arm/leg combination was faster than contralateral (888 ± 205 ms vs. 1018 ± 160 ms; p < .001) and was used 70% of the time. CONCLUSIONS: In rapid step and reach tasks task there may be a preferred ipsilateral limb pattern consistent with arm dominance, but contralateral movements are common. The use of both eyes may produce faster movements, but may have little effect on the arm/leg combination used.

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2024-09-16
DOI
https://doi.org/10.1249/01.mss.0001054712.03821.08
Primary Topic
Motor Control and Adaptation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Limb And Eye Dominance In Limb Selection In A Step And Reach Task

Samantha Hinke, George Sikoryak, Jordana Brunache, Marley B. Baum et al.
Medicine & Science in Sports & Exercise
Motor Control and Adaptation
article

Limb And Eye Dominance In Limb Selection In A Step And Reach Task

Samantha Hinke, George Sikoryak, Jordana Brunache, Marley B. Baum, Jeffrey C. Ives
article en

Abstract

Step and reach movements are inherent in sport but constraints underlying preferred arm and leg combinations are unexplored. PURPOSE: To examine influences of preferred arm, leg, and eye on arm/leg combination choices in a step and reach task under varying visual field conditions. METHODS: After informed consent, 15 subjects (21.3 ± 0.8 yrs) were tested over three days for laterality performance in vision, motor skills, and response time. Response time tasks involved left or right visual cues requiring a spatially congruent left or right arm response. A center visual stimulus enabled a choice of either arm. One condition required only an arm reach (Reach), another required a step and reach (StepReach). In some conditions the subjects used both eyes or only one eye. A total of 300 trials were conducted over two days and analyzed by REANOVA for speed and limb use patterns. RESULTS: All subjects were right-handed, and 10 of 15 were right eye dominant. Speed was faster (p < .001) in the Reach (533 ± 59 ms) versus the StepReach (932 ± 164 ms) and faster (p = .009) with both eyes (713 ± 102 ms) versus left eye (742 ± 88 ms) and right eye only (742 ± 111 ms). Left-eyed persons were slower (p = .003) with center and right stimuli compared to right eyed persons, and this effect was pronounced in the StepReach condition. Post-hoc contrasts revealed different (p = .029) patterns of arm use between Reach and StepReach; in both conditions the spatially congruent arm was used 91% (± 22) of the time for left and right stimuli and the dominant right arm was used in center stimuli 81% (± 27) of the time, but in StepReach the congruent left arm in left side stimuli was used only 49% (± 40) of the time. These findings were unaffected by which eye was used or a person’s dominant eye. In StepReach the spatially congruent leg was used 60% of the time which was not significantly different than the use of the left (46%) and right (54%) legs in the center stimulus. In StepReach an ipsilateral arm/leg combination was faster than contralateral (888 ± 205 ms vs. 1018 ± 160 ms; p < .001) and was used 70% of the time. CONCLUSIONS: In rapid step and reach tasks task there may be a preferred ipsilateral limb pattern consistent with arm dominance, but contralateral movements are common. The use of both eyes may produce faster movements, but may have little effect on the arm/leg combination used.

Medicine & Science in Sports & ExerciseVol. 56(10S)
Ithaca College (US)
Openalex Percentile: Top 84%
Motor Control and Adaptation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.