@article{26013, abstract = {{Abstract Mobile Electroencephalography (EEG) provides insights into cortical contributions to postural control. Although changes in theta (4–8 Hz) and alpha frequency power (8–12 Hz) were shown to reflect attentional and sensorimotor processing during balance tasks, information about the effect of stance leg on cortical processing related to postural control is lacking. Therefore, the aim was to examine patterns of cortical activity during single-leg stance with varying surface stability. EEG and force plate data from 21 healthy males (22.43 ± 2.23 years) was recorded during unipedal stance (left/right) on a stable and unstable surface. Using source-space analysis, power spectral density was analyzed in the theta, alpha-1 (8–10 Hz) and alpha-2 (10–12 Hz) frequency bands. Repeated measures ANOVA with the factors leg and surface stability revealed significant interaction effects in the left (p = 0.045, ηp2 = 0.13) and right motor clusters (F = 16.156; p = 0.001, ηp2 = 0.41). Furthermore, significant main effects for surface stability were observed for the fronto-central cluster (theta), left and right motor (alpha-1), as well as for the right parieto-occipital cluster (alpha-1/alpha-2). Leg dependent changes in alpha-2 power may indicate lateralized patterns of cortical processing in motor areas during single-leg stance. Future studies may therefore consider lateralized patterns of cortical activity for the interpretation of postural deficiencies in unilateral lower limb injuries.}}, author = {{Büchel, Daniel and Lehmann, Tim and Ullrich, Sarah and Cockcroft, John and Louw, Quinette and Baumeister, Jochen}}, issn = {{0014-4819}}, journal = {{Experimental Brain Research}}, pages = {{1193--1202}}, title = {{{Stance leg and surface stability modulate cortical activity during human single leg stance}}}, doi = {{10.1007/s00221-021-06035-6}}, year = {{2021}}, } @article{26014, abstract = {{Whereas initial findings have already identified cortical patterns accompanying proprioceptive deficiencies in patients after anterior cruciate ligament reconstruction (ACLR), little is known about compensatory sensorimotor mechanisms for re-establishing postural control. Therefore, the aim of the present study was to explore leg dependent patterns of cortical contributions to postural control in patients 6 weeks following ACLR. A total of 12 patients after ACLR (25.1 ± 3.2 years, 178.1 ± 9.7 cm, 77.5 ± 14.4 kg) and another 12 gender, age, and activity matched healthy controls participated in this study. All subjects performed 10 × 30 s. single leg stances on each leg, equipped with 64-channel mobile electroencephalography (EEG). Postural stability was quantified by area of sway and sway velocity. Estimations of the weighted phase lag index were conducted as a cortical measure of functional connectivity. The findings showed significant group × leg interactions for increased functional connectivity in the anterior cruciate ligament (ACL) injured leg, predominantly including fronto−parietal [F(1, 22) = 8.41, p ≤ 0.008, η2 = 0.28], fronto−occipital [F(1, 22) = 4.43, p ≤ 0.047, η2 = 0.17], parieto−motor [F(1, 22) = 10.30, p ≤ 0.004, η2 = 0.32], occipito−motor [F(1, 22) = 5.21, p ≤ 0.032, η2 = 0.19], and occipito−parietal [F(1, 22) = 4.60, p ≤ 0.043, η2 = 0.17] intra−hemispherical connections in the contralateral hemisphere and occipito−motor [F(1, 22) = 7.33, p ≤ 0.013, η2 = 0.25] on the ipsilateral hemisphere to the injured leg. Higher functional connectivity in patients after ACLR, attained by increased emphasis of functional connections incorporating the somatosensory and visual areas, may serve as a compensatory mechanism to control postural stability of the injured leg in the early phase of rehabilitation. These preliminary results may help to develop new neurophysiological assessments for detecting functional deficiencies after ACLR in the future.}}, author = {{Lehmann, Tim and Büchel, Daniel and Mouton, Caroline and Gokeler, Alli and Seil, Romain and Baumeister, Jochen}}, issn = {{1662-5161}}, journal = {{Frontiers in Human Neuroscience}}, title = {{{Functional Cortical Connectivity Related to Postural Control in Patients Six Weeks After Anterior Cruciate Ligament Reconstruction}}}, doi = {{10.3389/fnhum.2021.655116}}, year = {{2021}}, } @article{26719, abstract = {{AbstractThe interaction of acute exercise and the central nervous system evokes increasing interest in interdisciplinary research fields of neuroscience. Novel approaches allow to monitor large-scale brain networks from mobile electroencephalography (EEG) applying graph theory, but it is yet uncertain whether brain graphs extracted after exercise are reliable. We therefore aimed to investigate brain graph reliability extracted from resting state EEG data before and after submaximal exercise twice within one week in male participants. To obtain graph measures, we extracted global small-world-index (SWI), clustering coefficient (CC) and characteristic path length (PL) based on weighted phase leg index (wPLI) and spectral coherence (Coh) calculation. For reliability analysis, Intraclass-Correlation-Coefficient (ICC) and Coefficient of Variation (CoV) were computed for graph measures before (REST) and after POST) exercise. Overall results revealed poor to excellent measures at PRE and good to excellent ICCs at POST in the theta, alpha-1 and alpha-2, beta-1 and beta-2 frequency band. Based on bootstrap-analysis, a positive effect of exercise on reliability of wPLI based measures was observed, while exercise induced a negative effect on reliability of Coh-based graph measures. Findings indicate that brain graphs are a reliable tool to analyze brain networks in exercise contexts, which might be related to the neuroregulating effect of exercise inducing functional connections within the connectome. Relative and absolute reliability demonstrated good to excellent reliability after exercise. Chosen graph measures may not only allow analysis of acute, but also longitudinal studies in exercise-scientific contexts. }}, author = {{Büchel, Daniel and Lehmann, Tim and Sandbakk, Øyvind and Baumeister, Jochen}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, title = {{{EEG-derived brain graphs are reliable measures for exploring exercise-induced changes in brain networks}}}, doi = {{10.1038/s41598-021-00371-x}}, year = {{2021}}, } @article{26117, author = {{Büchel, Daniel and Lehmann, Tim and Ullrich, Sarah and Cockcroft, John and Louw, Quinette and Baumeister, Jochen}}, journal = {{Experimental Brain Research}}, number = {{1193-1202}}, title = {{{Stance leg and surface stability modulate cortical activity during human single leg stance}}}, volume = {{239}}, year = {{2021}}, } @inproceedings{24547, abstract = {{Over the last years, several approaches for the data-driven estimation of expected possession value (EPV) in basketball and association football (soccer) have been proposed. In this paper, we develop and evaluate PIVOT: the first such framework for team handball. Accounting for the fast-paced, dynamic nature and relative data scarcity of hand- ball, we propose a parsimonious end-to-end deep learning architecture that relies solely on tracking data. This efficient approach is capable of predicting the probability that a team will score within the near future given the fine-grained spatio-temporal distribution of all players and the ball over the last seconds of the game. Our experiments indicate that PIVOT is able to produce accurate and calibrated probability estimates, even when trained on a relatively small dataset. We also showcase two interactive applications of PIVOT for valuing actual and counterfactual player decisions and actions in real-time.}}, author = {{Müller, Oliver and Caron, Matthew and Döring, Michael and Heuwinkel, Tim and Baumeister, Jochen}}, booktitle = {{8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)}}, keywords = {{expected possession value, handball, tracking data, time series classification, deep learning}}, location = {{Online}}, title = {{{PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data}}}, year = {{2021}}, } @article{32437, author = {{Sherman, David A. and Lehmann, Tim and Baumeister, Jochen and Grooms, Dustin R. and Norte, Grant E.}}, issn = {{0014-4819}}, journal = {{Experimental Brain Research}}, keywords = {{General Neuroscience}}, number = {{2}}, pages = {{407--420}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Somatosensory perturbations influence cortical activity associated with single-limb balance performance}}}, doi = {{10.1007/s00221-021-06260-z}}, volume = {{240}}, year = {{2021}}, } @article{34024, abstract = {{Abstract Objective External focus (EF) of attention leads to improved balance performance. Consideration of the neuromodulatory effects of EF may inform its clinical utility in addressing neuroplastic impairments after musculoskeletal injuries. We aimed to determine whether electrocortical activity and balance performance changed with attentional foci that prioritized differing sensory feedback and whether changes in electrocortical activity and balance were associated. Methods Individuals who were healthy (n = 15) performed a single-limb balance task under 3 conditions: internal focus (IF), somatosensory focus [EF with a baton (EF-baton)], and visual focus [EF with a laser (EF-laser)]. Electrocortical activity and postural sway were recorded concurrently using electroencephalography and a triaxial force plate. Electroencephalographic signals were decomposed, localized, and clustered to generate power spectral density in θ and α-2 frequency bands. Postural sway signals were analyzed with center-of-pressure sway metrics (eg, area, distance, velocity) and knee angle. The relationship between percent change in clustered brain activity and task performance metrics was assessed. Results Both EF conditions resulted in increased cortical activity and improved balance performance compared to IF. EF-laser had the largest effect, demonstrating increased frontal θ power (d = 0.64), decreased central θ power (d = −0.30), and decreased bilateral motor, bilateral parietal, and occipital α-2 power (d = −1.38 to −4.27) as well as a shorter path distance (d = −0.94) and a deeper (d = 0.70) and less variable (d = −1.15) knee angle than IF. Weak to moderate associations exist between increases in cortical activity and improved balance performance (ρ = 0.405–0.584). Conclusions EF resulted in increased cortical activity associated with cognitive, motor, somatosensory, and visual processing. EF-laser, which prioritized visual feedback, had the largest and broadest effects. Changes in cortical activity resulting from EF were independently associated with improved balance performance. Impact This study demonstrates that goal-oriented attention results in functional increases in brain activity compared to internally directed self-focus. These results suggest EF may target neurophysiologic impairments and improve balance in clinical populations. }}, author = {{Sherman, David A and Lehmann, Tim and Baumeister, Jochen and Gokeler, Alli and Donovan, Luke and Norte, Grant E}}, issn = {{0031-9023}}, journal = {{Physical Therapy}}, keywords = {{Physical Therapy, Sports Therapy and Rehabilitation}}, publisher = {{Oxford University Press (OUP)}}, title = {{{External Focus of Attention Influences Cortical Activity Associated with Single Limb Balance Performance}}}, doi = {{10.1093/ptj/pzab223}}, year = {{2021}}, } @article{32434, abstract = {{Whereas initial findings have already identified cortical patterns accompanying proprioceptive deficiencies in patients after anterior cruciate ligament reconstruction (ACLR), little is known about compensatory sensorimotor mechanisms for re-establishing postural control. Therefore, the aim of the present study was to explore leg dependent patterns of cortical contributions to postural control in patients 6 weeks following ACLR. A total of 12 patients after ACLR (25.1 ± 3.2 years, 178.1 ± 9.7 cm, 77.5 ± 14.4 kg) and another 12 gender, age, and activity matched healthy controls participated in this study. All subjects performed 10 × 30 s. single leg stances on each leg, equipped with 64-channel mobile electroencephalography (EEG). Postural stability was quantified by area of sway and sway velocity. Estimations of the weighted phase lag index were conducted as a cortical measure of functional connectivity. The findings showed significant group × leg interactions for increased functional connectivity in the anterior cruciate ligament (ACL) injured leg, predominantly including fronto−parietal [F(1, 22) = 8.41, p ≤ 0.008, η2 = 0.28], fronto−occipital [F(1, 22) = 4.43, p ≤ 0.047, η2 = 0.17], parieto−motor [F(1, 22) = 10.30, p ≤ 0.004, η2 = 0.32], occipito−motor [F(1, 22) = 5.21, p ≤ 0.032, η2 = 0.19], and occipito−parietal [F(1, 22) = 4.60, p ≤ 0.043, η2 = 0.17] intra−hemispherical connections in the contralateral hemisphere and occipito−motor [F(1, 22) = 7.33, p ≤ 0.013, η2 = 0.25] on the ipsilateral hemisphere to the injured leg. Higher functional connectivity in patients after ACLR, attained by increased emphasis of functional connections incorporating the somatosensory and visual areas, may serve as a compensatory mechanism to control postural stability of the injured leg in the early phase of rehabilitation. These preliminary results may help to develop new neurophysiological assessments for detecting functional deficiencies after ACLR in the future.}}, author = {{Lehmann, Tim and Büchel, Daniel and Mouton, Caroline and Gokeler, Alli and Seil, Romain and Baumeister, Jochen}}, issn = {{1662-5161}}, journal = {{Frontiers in Human Neuroscience}}, keywords = {{Behavioral Neuroscience, Biological Psychiatry, Psychiatry and Mental health, Neurology, Neuropsychology and Physiological Psychology}}, publisher = {{Frontiers Media SA}}, title = {{{Functional Cortical Connectivity Related to Postural Control in Patients Six Weeks After Anterior Cruciate Ligament Reconstruction}}}, doi = {{10.3389/fnhum.2021.655116}}, volume = {{15}}, year = {{2021}}, } @article{32435, abstract = {{Abstract Mobile Electroencephalography (EEG) provides insights into cortical contributions to postural control. Although changes in theta (4–8 Hz) and alpha frequency power (8–12 Hz) were shown to reflect attentional and sensorimotor processing during balance tasks, information about the effect of stance leg on cortical processing related to postural control is lacking. Therefore, the aim was to examine patterns of cortical activity during single-leg stance with varying surface stability. EEG and force plate data from 21 healthy males (22.43 ± 2.23 years) was recorded during unipedal stance (left/right) on a stable and unstable surface. Using source-space analysis, power spectral density was analyzed in the theta, alpha-1 (8–10 Hz) and alpha-2 (10–12 Hz) frequency bands. Repeated measures ANOVA with the factors leg and surface stability revealed significant interaction effects in the left (p = 0.045, ηp2 = 0.13) and right motor clusters (F = 16.156; p = 0.001, ηp2 = 0.41). Furthermore, significant main effects for surface stability were observed for the fronto-central cluster (theta), left and right motor (alpha-1), as well as for the right parieto-occipital cluster (alpha-1/alpha-2). Leg dependent changes in alpha-2 power may indicate lateralized patterns of cortical processing in motor areas during single-leg stance. Future studies may therefore consider lateralized patterns of cortical activity for the interpretation of postural deficiencies in unilateral lower limb injuries.}}, author = {{Büchel, Daniel and Lehmann, Tim and Ullrich, Sarah and Cockcroft, John and Louw, Quinette and Baumeister, Jochen}}, issn = {{0014-4819}}, journal = {{Experimental Brain Research}}, keywords = {{General Neuroscience}}, number = {{4}}, pages = {{1193--1202}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Stance leg and surface stability modulate cortical activity during human single leg stance}}}, doi = {{10.1007/s00221-021-06035-6}}, volume = {{239}}, year = {{2021}}, } @article{35626, author = {{Büchel, Daniel and Lehmann, Tim and Sandbakk, Øyvind and Baumeister, Jochen}}, issn = {{2045-2322}}, journal = {{Scientific Reports}}, keywords = {{Multidisciplinary}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{EEG‑derived brain graphs are reliable measures for exploring exercise‑induced changes in brain networks}}}, doi = {{10.1038/s41598-021-01494-x}}, volume = {{11}}, year = {{2021}}, } @article{20490, author = {{Anders, P and Müller, H and Skjæret-Maroni, N and Vereijken, B and Baumeister, Jochen}}, journal = {{Medical & Biological Engineering & Computing}}, pages = {{2673--2683}}, title = {{{The influence of motor tasks and cut-off parameter selection on artifact subspace reconstruction in EEG recordings}}}, volume = {{85}}, year = {{2020}}, } @article{16457, author = {{Lehmann, T and Büchel, D and Cockcroft, J and Louw, Q and Baumeister, Jochen}}, issn = {{0306-4522}}, journal = {{Neuroscience}}, pages = {{63--72}}, title = {{{Modulations of Inter-Hemispherical Phase Coupling in Human Single Leg Stance.}}}, doi = {{10.1016/j.neuroscience.2020.01.029}}, volume = {{430}}, year = {{2020}}, } @article{16458, author = {{Bonnette, S and Diekfuss, JA and Grooms, DR and Kiefer, AW and Riley, MA and Riehm, C and Moore, C and Barber Foss, KD and DiCesare, CA and Baumeister, Jochen and Myer, GD}}, issn = {{0048-5772}}, journal = {{Psychophysiology}}, number = {{4}}, pages = {{e13530}}, title = {{{Electrocortical dynamics differentiate athletes exhibiting low- and high- ACL injury risk biomechanics.}}}, doi = {{10.1111/psyp.13530}}, volume = {{57}}, year = {{2020}}, } @article{38059, abstract = {{Advances in EEG filtering algorithms enable analysis of EEG recorded during motor tasks. Although methods such as artifact subspace reconstruction (ASR) can remove transient artifacts automatically, there is virtually no knowledge about how the vigor of bodily movements affects ASRs performance and optimal cut-off parameter selection process. We compared the ratios of removed and reconstructed EEG recorded during a cognitive task, single-leg stance, and fast walking using ASR with 10 cut-off parameters versus visual inspection. Furthermore, we used the repeatability and dipolarity of independent components to assess their quality and an automatic classification tool to assess the number of brain-related independent components. The cut-off parameter equivalent to the ratio of EEG removed in manual cleaning was strictest for the walking task. The quality index of independent components, calculated using RELICA, reached a maximum plateau for cut-off parameters of 10 and higher across all tasks while dipolarity was largely unaffected. The number of independent components within each task remained constant, regardless of the cut-off parameter used. Surprisingly, ASR performed better in motor tasks compared with non-movement tasks. The quality index seemed to be more sensitive to changes induced by ASR compared to dipolarity. There was no benefit of using cut-off parameters less than 10.}}, author = {{Anders, Phillipp and Müller, Helen Martha and Skjæret-Maroni, Nina and Vereijken, Beatrix and Baumeister, Jochen}}, issn = {{0140-0118}}, journal = {{Medical & Biological Engineering & Computing}}, keywords = {{Computer Science Applications, Biomedical Engineering}}, number = {{11}}, pages = {{2673--2683}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{The influence of motor tasks and cut-off parameter selection on artifact subspace reconstruction in EEG recordings}}}, doi = {{10.1007/s11517-020-02252-3}}, volume = {{58}}, year = {{2020}}, } @article{32436, author = {{Lehmann, Tim and Büchel, Daniel and Cockcroft, John and Louw, Quinette and Baumeister, Jochen}}, issn = {{0306-4522}}, journal = {{Neuroscience}}, keywords = {{General Neuroscience}}, pages = {{63--72}}, publisher = {{Elsevier BV}}, title = {{{Modulations of Inter-Hemispherical Phase Coupling in Human Single Leg Stance}}}, doi = {{10.1016/j.neuroscience.2020.01.029}}, volume = {{430}}, year = {{2020}}, } @inproceedings{25417, author = {{Vogt, Sarah and Skjaeret, Maroni and Neuhaus, D and Baumeister, Jochen}}, number = {{46-58}}, title = {{{Virtual Reality Interventions for Balance Prevention and Rehabilitation after Musculoskeletal Lower Limb Impairments in Young up to Middle-Aged Adults: A Comprehensive Review on Used Technology, Balance Outcome Measures and Observed Effects}}}, volume = {{126}}, year = {{2019}}, } @article{26015, author = {{Büchel, Daniel and Jakobsmeyer, Rasmus and Döring, Michael and Adams, Michael and Rückert, Ulrich and Baumeister, Jochen}}, issn = {{2474-8668}}, journal = {{International Journal of Performance Analysis in Sport}}, pages = {{832--844}}, title = {{{Effect of playing position and time on-court on activity profiles in german elite team handball}}}, doi = {{10.1080/24748668.2019.1663071}}, year = {{2019}}, } @article{20412, author = {{An, YW and DiTrani Lobacz, A and Lehmann, T and Baumeister, Jochen and Rose, WC and Higginson, JS and Rosen, J and Swanik, CB}}, issn = {{0905-7188}}, journal = {{Scand J Med Sci Sports}}, number = {{2}}, pages = {{251--258}}, title = {{{Neuroplastic changes in anterior cruciate ligament reconstruction patients from neuromechanical decoupling.}}}, doi = {{10.1111/sms.13322}}, volume = {{29}}, year = {{2019}}, } @article{20425, author = {{Gokeler, A and Neuhaus, D and Benjaminse, A and Grooms, DR and Baumeister, Jochen}}, issn = {{0112-1642}}, journal = {{Sports Med}}, number = {{6}}, pages = {{979}}, title = {{{Correction to: Principles of Motor Learning to Support Neuroplasticity After ACL Injury: Implications for Optimizing Performance and Reducing Risk of Second ACL Injury.}}}, doi = {{10.1007/s40279-019-01078-w}}, volume = {{49}}, year = {{2019}}, } @article{20476, author = {{Büchel, D and Jakobsmeyer, R and Döring, M and Adams, M and Rückert, U and Baumeister, Jochen}}, journal = {{International Journal Performance Analysis in Sports}}, number = {{2}}, pages = {{832--844}}, title = {{{Effect of playing position and time on-court on activity profiles in german elite team handball}}}, volume = {{19}}, year = {{2019}}, }