Structural connectivity prior to whole-body sensorimotor skill learning associates with changes in resting state functional connectivity

Mizuguchi, Nobuaki; Maudrich, Tom; Kenville, Rouven; Carius, Daniel; Maudrich, Dennis; Villringer, Arno; Ragert, Patrick

doi:10.1016/j.neuroimage.2019.04.062

Cited by 17 publications

(38 citation statements)

References 48 publications

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“…This task imposes high demands on agility ability because participants have to rapidly step in any of the four directions in response to a stimulus ( Sheppard and Young, 2006 ). We introduced this CWB-SRTT in our previous publication ( Mizuguchi et al., 2019 ). The plate to be stepped on was indicated by a target cue shown on any of four squares on a monitor, which was placed 2 m in front of the participant ( Figure 1 C).…”

Section: Methodsmentioning

confidence: 99%

“…For this reason, we developed a complex whole-body SRTT (CWB-SRTT) to assess serial reaction times of lower extremities. In an initial study, we demonstrated that the brains of non-athletes undergo functional reorganization within the early learning phase of CWB-SRTT ( Mizuguchi et al., 2019 ). Since athletes in particular are characterized by functionally reorganized motor systems ( Nakata et al., 2010 ), the question arises whether athletes have different initial abilities and learning rates in CWB-SRTT when compared to non-athletes.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of whole-body sensorimotor skill learning between strength athletes, endurance athletes and healthy sedentary adults

Maudrich

Kenville

Schempp

et al. 2021

Heliyon

Self Cite

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Motor sequences represent an integral part of human motor ability. Apart from simple movement sequences, complex coordinated movement sequences are the building blocks for peak athletic performance. Accordingly, optimized temporal and spatial coordination of muscle action across multiple limbs may be a distinguishing feature between athletes and non-athletes in many sports. In the present study, we aimed to assess differences between strength and endurance athletes and non-athletes during learning of a complex whole-body serial reaction time task (CWB-SRTT). For this purpose, 26 nonathletes (NAG) and 25 athletes (AG) learned the CWB-SRTT over 2 days separated by 7 days. Mean response times of participants were recorded and statistically analyzed for sequence-specific and non-sequence-specific improvements, as well as differences in learning rates and retention. Furthermore, AG was subdivided into strength (SG) and endurance (EG) athletes, and all analysis steps were repeated. Our results show a better mean response time of AG compared to NAG. However, we could not detect differences in sequence-specific or non-sequence-specific learning, as well as different retention rates between NAG and AG or SG and EG. We assume here that a potential lack of motor transfer between general athletic abilities and the specific complex motor sequence mainly accounts for our findings.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison of whole-body sensorimotor skill learning between strength athletes, endurance athletes and healthy sedentary adults

Maudrich

Kenville

Schempp

et al. 2021

Heliyon

Self Cite

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“…Rather, FBA provides indices of microscopic fiber density (FD; intra-axonal volume, thought to reflect the density of a population of fibers within voxel), macroscopic fiber cross-section (FC; an estimate of fiber bundle diameter derived from the FD metric), and fiber density and cross-section (FDC; a combined measure of FD and FC; Raffelt D. A. et al, 2017 ). This technique has been applied to investigate WM in preterm infants (Pannek et al, 2018 ; Pecheva et al, 2019 ) and to understand WM development and function in healthy individuals (Genc et al, 2018 ; Bleker et al, 2019 ; Mizuguchi et al, 2019 ), as well as to understand WM aberration in various mental health and medical conditions (Gajamange et al, 2018 ; Grazioplene et al, 2018 ; Mito et al, 2018 ; Mu et al, 2018 ; Lyon et al, 2019 ; Dimond et al, 2019 ; Feshki et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Fixel Based Analysis Reveals Atypical White Matter Micro- and Macrostructure in Adults With Autism Spectrum Disorder: An Investigation of the Role of Biological Sex

Kirkovski

Fuelscher

Hyde

et al. 2020

Front. Integr. Neurosci.

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Atypical white matter (WM) microstructure is commonly implicated in the neuropathophysiology of autism spectrum disorder (ASD). Fixel based analysis (FBA), at the cutting-edge of diffusion-weighted imaging, can account for crossing WM fibers and can provide indices of both WM micro- and macrostructure. We applied FBA to investigate WM structure between 25 (12 males, 13 females) adults with ASD and 24 (12 males, 12 females) matched controls. As the role of biological sex on the neuropathophysiology of ASD is of increasing interest, this was also explored. There were no significant differences in WM micro- or macrostructure between adults with ASD and matched healthy controls. When data were stratified by sex, females with ASD had reduced fiber density and cross-section (FDC), a combined metric comprised of micro- and macrostructural measures, in the corpus callosum, a finding not detected between the male sub-groups. We conclude that micro- and macrostructural WM aberrations are present in ASD, and may be influenced by biological sex.

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“…Furthermore, tDCS may induce widespread cortical changes in the adjacent area of M1 including supplementary motor area and alter functional connectivity between the M1 and motor association cortices, due to its low spatial focality, derived from the relatively large stimulation electrode (35 cm 2 ) and dispersed electrical field (Lang et al, 2005;Nitsche et al, 2007). The findings from this study may be attributable to the sum of cortical, subcortical, and spinal neural modulations, rather than only changes in M1 leg area excitability (Lang et al, 2005;Nitsche et al, 2007;Roche et al, 2009Roche et al, , 2011Polanía et al, 2011;Mizuguchi et al, 2019).…”

Section: Limitations Of This Studymentioning

confidence: 74%

“…The majority of research studies have examined the effects of tDCS on the recovery of upper limb function in healthy and patient populations (Reis et al, 2009 , 2015 ; Zimerman et al, 2012 ). A recent study has investigated skill retention of a complex whole-body serial reaction time (RT) task (Mizuguchi et al, 2019 ); however, there has been a lack of investigations exploring the effects of tDCS on leg skill acquisition and retention (Devanathan and Madhavan, 2016 ; Seidel and Ragert, 2019 ). Specific effects of tDCS on visuomotor step training remain unclear.…”

Section: Introductionmentioning

confidence: 99%

Anodal Transcranial Direct Current Stimulation Enhances Retention of Visuomotor Stepping Skills in Healthy Adults

Tseng

Chang

Hoerth

et al. 2020

Front. Hum. Neurosci.

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Transcranial direct current stimulation (tDCS) paired with exercise training can enhance learning and retention of hand tasks; however, there have been few investigations of the effects of tDCS on leg skill improvements. The purpose of this study was to investigate whether tDCS paired with visuomotor step training can promote skill learning and retention. We hypothesized that pairing step training with anodal tDCS would improve skill learning and retention, evidenced by decreased step reaction times (RTs), both immediately (online skill gains) and 30 min after training (offline skill gains). Twenty healthy adults were randomly assigned to one of two groups, in which 20-min anodal or sham tDCS was applied to the lower limb motor cortex and paired with visuomotor step training. Step RTs were determined across three time points: (1) before brain stimulation (baseline); (2) immediately after brain stimulation (P0); and (3) 30 min after brain stimulation (P3). A continuous decline in RT was observed in the anodal tDCS group at both P0 and P3, with a significant decrease in RT at P3; whereas there were no improvements in RT at P0 and P3 in the sham group. These findings do not support our hypothesis that anodal tDCS enhances online learning, as RT was not decreased significantly immediately after stimulation. Nevertheless, the results indicate that anodal tDCS enhances offline learning, as RT was significantly decreased 30 min after stimulation, likely because of tDCS-induced neural modulation of cortical and subcortical excitability, synaptic efficacy, and spinal neuronal activity.

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Structural connectivity prior to whole-body sensorimotor skill learning associates with changes in resting state functional connectivity

Cited by 17 publications

References 48 publications

Comparison of whole-body sensorimotor skill learning between strength athletes, endurance athletes and healthy sedentary adults

Comparison of whole-body sensorimotor skill learning between strength athletes, endurance athletes and healthy sedentary adults

Fixel Based Analysis Reveals Atypical White Matter Micro- and Macrostructure in Adults With Autism Spectrum Disorder: An Investigation of the Role of Biological Sex

Anodal Transcranial Direct Current Stimulation Enhances Retention of Visuomotor Stepping Skills in Healthy Adults

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