Investigation of baseline attention, executive control, and performance variability in female varsity athletes

Roberts, Samantha D; Wilson, Alyssia; Rahimi, Alma; Gorbet, Diana J.; Sergio, Lauren E.; Stevens, W. Dale; Wójtowicz, Magdalena

doi:10.1007/s11682-022-00635-8

Cited by 8 publications

(9 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Very recent research has confirmed that brain signal variability optimizes information exchange among distributed network components (Baracchini et al, 2021), and that disrupted connectivity is likely due to microscopic damage within white matter tracts (Wong et al, 2023). Furthermore, clinical testing that measures responses to congruent and incongruent visual stimuli has been shown to yield mean RT and IIV of RT measures that associate with resting state functional connectivity patterns among female college athletes (Roberts et al, 2022). Intra-individual variability has been conceptualized as either “inconsistency” across successive task trials or “dispersion” of standardized scores for multiple cognitive tasks that differ somewhat from one another (Costa et al, 2019; Holtzer et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

“…Another potentially important behavioral indicator of neural processing efficiency is intra-individual variability (IIV) of RTs, which yields information that is distinct from mean RT. Numerous studies have documented an inverse relationship between behavioral performance consistency and moment-to-moment brain signal variability (Fjell et al, 2011;Garrett et al, 2014Garrett et al, , 2020Grady & Garrett, 2018;Johnson et al, 2015;Kelly et al, 2008;McIntosh et al, 2008;Mennes et al, 2011;Roberts et al, 2022;Wang et al, 2017). Furthermore, elevated IIV has been associated with a history of sport-related concussion (McGowan et al, 2018(McGowan et al, , 2019Merritt et al, 2019Merritt et al, , 2021Parks et al, 2015;Rabinowitz & Arnett, 2013;Wong et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Test-Retest Reliability of Immersive Virtual Reality Measures of Perceptual-Motor Performance

Wilkerson,

Lansey,

Noblett

et al. 2023

Percept Mot Skills

View full text Add to dashboard Cite

Background: The duration, accuracy, and consistency of responses to various types of stimuli are widely accepted as indirect indicators of the efficiency of brain information processing, but current clinical tests appear to lack sufficient sensitivity to detect subtle impairments. Purpose: Immersive virtual reality (VR) offers a new means to acquire measures of perceptual-motor responses to moving visual stimuli that require rapid conflict resolution, but their test-retest reliability has not yet been demonstrated. Research Design: Repeated measures. Study Sample: We analyzed data from 19 healthy young adults who performed a 40-trial VR test on three consecutive days. Data Collection and Analysis: We focused on response time (RT) and perceptual latency (PL) for eye, neck, arm, and whole-body step displacements involved in executing a reaching/lunging movement in a right or left direction toward a peripherally located virtual target. Measures of RT and PL included a 40-trial mean, an intra-individual variability (IIV) value, and a rate correct score (RCS) that incorporated both response duration and accuracy. Results: Most mean and IIV values for PL and RT demonstrated a positive distributional skew that was substantially reduced by natural logarithm transformation. While a learning effect was evident between sessions 1 and 2 for 7 of 8 mean PL and RT measures, 3-session intraclass correlation coefficient (ICC) values were moderate to excellent for 15 of 16 transformed PL and RT measures (range: .618 to .922). The composite RCS metric did not require transformation for either PL or RT, whose respective 3-session ICC values were .877 and .851. Conclusions: This moderate to excellent test-retest reliability for various VR measures of perceptual-motor function, combined with evidence of their validity from both past and future research, suggest that these measures can advance clinical detection of impaired brain processing and longitudinal assessments of potentially modifiable performance deficiencies.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Test-Retest Reliability of Immersive Virtual Reality Measures of Perceptual-Motor Performance

Wilkerson,

Lansey,

Noblett

et al. 2023

Percept Mot Skills

View full text Add to dashboard Cite

show abstract

“…Meanwhile, bottom performers have poor attentional control and memory capacity and thus did not learn from their mistakes. Studies have shown that poor overall behavioral performance is related to decreased activity in DAN [56][57][58][59][60] (called "out of the zone" [61] ), fluctuations in attention and working memory known as "lapse in attention" [62][63][64] , and poor connectivity in DAN [65,66] . Clinically, studies of Attention Deficit Hyperactivity Disorder (ADHD) found compromised performance during working memory tasks is related to poor attentional control in DAN-related regions [67,68] , similar to what we observed in our poor performers.…”

Section: Modulation Of Dorsal Attention Network With Error History An...mentioning

confidence: 99%

“…DN becomes more activated during early learning [45] , particularly when motor imaginary is used [72] . In fact, athletes (i.e., experts or top performers) have been shown to activate the DN when employing strategies that decrease variability, resulting in stable performance during movement [66] . The phenomenon, known as "in the zone" [61] , has been linked to the DN activation with consistent performance associated with preparedness [66,73,74] and vigilance [75] .…”

Section: Modulation Of Default Network With Environmental Uncertainty...mentioning

confidence: 99%

“…In fact, athletes (i.e., experts or top performers) have been shown to activate the DN when employing strategies that decrease variability, resulting in stable performance during movement [66] . The phenomenon, known as "in the zone" [61] , has been linked to the DN activation with consistent performance associated with preparedness [66,73,74] and vigilance [75] . Hence, activation of DN indicates those subjects are prepared for the chance of a perturbation.…”

Section: Modulation Of Default Network With Environmental Uncertainty...mentioning

confidence: 99%

See 1 more Smart Citation

Internal states as a source of subject-dependent movement variability and their representation by large-scale networks

Breault

Sacré

Fitzgerald

et al. 2022

Preprint

View full text Add to dashboard Cite

A human's ability to adapt and learn relies on reflecting on past performance. Such reflections form latent factors called internal states that induce variability of movement and behavior to improve performance. Internal states are critical for survival, yet their temporal dynamics and neural substrates are less understood. Here, we link internal states with motor performance and neural activity using state-space models and local field potentials captured from depth electrodes in over 100 brain regions. Ten human subjects performed a goal-directed center-out reaching task with perturbations applied to random trials, causing subjects to fail goals and reflect on their performance. Using computational methods, we identified two internal states, indicating that subjects kept track of past errors and perturbations, that predicted variability in reaction times and speed errors. These states granted access to latent information indicative of how subjects strategize learning from trial history, impacting their overall performance. We further found that large-scale brain networks differentially encoded these internal states. The dorsal attention network encoded past errors in frequencies above 100 Hz, suggesting a role in modulating attention based on tracking recent performance in working memory. The default network encoded past perturbations in frequencies below 15 Hz, suggesting a role in achieving robust performance in an uncertain environment. Moreover, these networks more strongly encoded internal states and were more functionally connected in higher performing subjects, whose learning strategy was to respond by countering with behavior that opposed accumulating error. Taken together, our findings suggest large-scale brain networks as a neural basis of strategy. These networks regulate movement variability, through internal states, to improve motor performance.

show abstract

Modulation effects of repeated transcranial direct current stimulation on the dorsal attention and frontal parietal networks and its association with placebo and nocebo effects

Sacca,

Wen,

Hodges

et al. 2023

NeuroImage

View full text Add to dashboard Cite

Investigation of baseline attention, executive control, and performance variability in female varsity athletes

Cited by 8 publications

References 64 publications

Test-Retest Reliability of Immersive Virtual Reality Measures of Perceptual-Motor Performance

Test-Retest Reliability of Immersive Virtual Reality Measures of Perceptual-Motor Performance

Internal states as a source of subject-dependent movement variability and their representation by large-scale networks

Modulation effects of repeated transcranial direct current stimulation on the dorsal attention and frontal parietal networks and its association with placebo and nocebo effects

Contact Info

Product

Resources

About