@article{32877,
  author       = {{Gaidai, Roman and Gölz, Christian Johannes and Mora, K. and Rudisch, J. and Reuter, E.-M. and Godde, B. and Reinsberger, C. and Voelcker-Rehage, C. and Vieluf, S.}},
  issn         = {{0006-8993}},
  journal      = {{Brain Research}},
  keywords     = {{Developmental Biology, Neurology (clinical), Molecular Biology, General Neuroscience}},
  publisher    = {{Elsevier BV}},
  title        = {{{Classification characteristics of fine motor experts based on electroencephalographic and force tracking data}}},
  doi          = {{10.1016/j.brainres.2022.148001}},
  volume       = {{1792}},
  year         = {{2022}},
}

@article{30117,
  abstract     = {{<jats:p><jats:bold>Objective:</jats:bold> It is unclear whether and to what extent COVID-19 infection poses health risks and a chronic impairment of performance in athletes. Identification of individual health risk is an important decision-making basis for managing the pandemic risk of infection with SARS-CoV-2 in sports and return to play (RTP).</jats:p><jats:p><jats:bold>Methods:</jats:bold> This study aims 1) to analyze the longitudinal rate of seroprevalence of SARS-CoV-2 in German athletes, 2) to assess health-related consequences in athletes infected with SARS-CoV-2, and 3) to reveal effects of the COVID-19 pandemic in general and of a cleared SARS-CoV-2 infection on exercise performance. CoSmo-S is a prospective observational multicenter study establishing two cohorts: 1) athletes diagnosed positive for COVID-19 (cohort 1) and 2) federal squad athletes who perform their annual sports medical preparticipation screening (cohort 2). Comprehensive diagnostics including physical examination, laboratory blood analyses and blood biobanking, resting and exercise electrocardiogram (ECG), echocardiography, spirometry and exercise testing added by questionnaires are conducted at baseline and follow-up.</jats:p><jats:p><jats:bold>Results and Conclusion:</jats:bold> We expect that the results obtained, will allow us to formulate recommendations regarding RTP on a more evidence-based level.</jats:p>}},
  author       = {{Niess, Andreas Michael and Widmann, Manuel and Gaidai, Roman and Gölz, Christian Johannes and Schubert, Isabel and Castillo, Katty and Sachs, Jan Philipp and Bizjak, Daniel and Vollrath, Shirin and Wimbauer, Fritz and Vogel, Azin and Keller, Karsten and Burgstahler, Christof and Quermann, Anne and Kerling, Arno and Schneider, Gerald and Zacher, Jonas and Diebold, Katharina and Grummt, Maximilian and Beckendorf, Claudia and Buitenhuis, Johannes and Egger, Florian and Venhorst, Andreas and Morath, Oliver and Barsch, Friedrich and Mellwig, Klaus-Peter and Oesterschlink, Julian and Wüstenfeld, Jan and Predel, Hans-Georg and Deibert, Peter and Friedmann-Bette, Birgit and Mayer, Frank and Hirschmüller, Anja and Halle, Martin and Steinacker, Jürgen Michael and Wolfarth, Bernd and Meyer, Tim and Böttinger, Erwin and Flechtner-Mors, Marion and Bloch, Wilhelm and Haller, Bernhard and Roecker, Kai and Reinsberger, Claus}},
  issn         = {{1661-8564}},
  journal      = {{International Journal of Public Health}},
  keywords     = {{Public Health, Environmental and Occupational Health, Health (social science)}},
  publisher    = {{Frontiers Media SA}},
  title        = {{{COVID-19 in German Competitive Sports: Protocol for a Prospective Multicenter Cohort Study (CoSmo-S)}}},
  doi          = {{10.3389/ijph.2022.1604414}},
  volume       = {{67}},
  year         = {{2022}},
}

@article{30119,
  abstract     = {{<jats:title>Abstract</jats:title><jats:sec>
                <jats:title>Background</jats:title>
                <jats:p>Subjective Memory Complaints (SMC) in elderly people due to preclinical Alzheimer’s Disease may be associated with dysregulation of the Kynurenine Pathway (KP), with an increase in neurotoxic metabolites that affect cognition. Golf is a challenging sport with high demands on motor, sensory, and cognitive abilities, which might bear the potential to attenuate the pathological changes of preclinical AD. This trial investigated the feasibility of learning to play golf for elderly with cognitive problems and its effects on cognitive functions and the KP.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Methods</jats:title>
                <jats:p>In a 22-week single-blinded randomized controlled trial, elderly people with SMC were allocated to the golf (<jats:italic>n</jats:italic> = 25, 180 min training/week) or control group (<jats:italic>n</jats:italic> = 21). Primary outcomes were feasibility (golf exam, adherence, adverse events) and general cognitive function (Alzheimer’s Disease Assessment Scale). Secondary outcomes include specific cognitive functions (Response Inhibition, Corsi Block Tapping Test, Trail Making Test), KP metabolites and physical performance (6-Minute-Walk-Test). Baseline-adjusted Analysis-of-Covariance was conducted for each outcome.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Results</jats:title>
                <jats:p>42 participants were analyzed. All participants that underwent the golf exam after the intervention passed it (20/23). Attendance rate of the golf intervention was 75 %. No adverse events or drop-outs related to the intervention occurred. A significant time*group interaction (<jats:italic>p</jats:italic> = 0.012, F = 7.050, Cohen’s d = 0.89) was found for correct responses on the Response Inhibition task, but not for ADAS-Cog. Moreover, a significant time*group interaction for Quinolinic acid to Tryptophan ratios (<jats:italic>p</jats:italic> = 0.022, F = 5.769, Cohen’s d = 0.84) in favor of the golf group was observed. An uncorrected negative correlation between attendance rate and delta Quinolinic acid to Kynurenic acid ratios in the golf group (<jats:italic>p</jats:italic> = 0.039, <jats:italic>r</jats:italic>=-0.443) was found as well.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Conclusions</jats:title>
                <jats:p>The findings indicate that learning golf is feasible and safe for elderly people with cognitive problems. Preliminary results suggest positive effects on attention and the KP. To explore the whole potential of golfing and its effect on cognitive decline, a larger cohort should be studied over a longer period with higher cardiovascular demands.</jats:p>
              </jats:sec><jats:sec>
                <jats:title>Trial registration</jats:title>
                <jats:p>The trial was retrospectively registered (2nd July 2018) at the German Clinical Trials Register (<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://www.drks.de/drks_web/setLocale_EN.do">DRKS00014921</jats:ext-link>).</jats:p>
              </jats:sec>}},
  author       = {{Stroehlein, Julia K. and Vieluf, Solveig and Zimmer, Philipp and Schenk, Alexander and Oberste, Max and Gölz, Christian Johannes and van den Bongard, Franziska and Reinsberger, Claus}},
  issn         = {{1471-2377}},
  journal      = {{BMC Neurology}},
  keywords     = {{Clinical Neurology, General Medicine}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Learning to play golf for elderly people with subjective memory complaints: feasibility of a single‐blinded randomized pilot trial}}},
  doi          = {{10.1186/s12883-021-02186-9}},
  volume       = {{21}},
  year         = {{2021}},
}

@article{30115,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Cardiorespiratory fitness was found to influence age-related changes of resting state brain network organization. However, the influence on dedifferentiated involvement of wider and more unspecialized brain regions during task completion is barely understood. We analyzed EEG data recorded during rest and different tasks (sensory, motor, cognitive) with dynamic mode decomposition, which accounts for topological characteristics as well as temporal dynamics of brain networks. As a main feature the dominant spatio-temporal EEG pattern was extracted in multiple frequency bands per participant. To deduce a pattern’s stability, we calculated its proportion of total variance among all activation patterns over time for each task. By comparing fit (N = 15) and less fit older adults (N = 16) characterized by their performance on a 6-min walking test, we found signs of a lower task specificity of the obtained network features for the less fit compared to the fit group. This was indicated by fewer significant differences between tasks in the theta and high beta frequency band in the less fit group. Repeated measures ANOVA revealed that a significantly lower proportion of total variance can be explained by the main pattern in high beta frequency range for the less fit compared to the fit group [F(1,29) = 12.572, <jats:italic>p</jats:italic> = .001, partial η<jats:sup>2</jats:sup> = .300]. Our results indicate that the dedifferentiation in task-related brain activation is lower in fit compared to less fit older adults. Thus, our study supports the idea that cardiorespiratory fitness influences task-related brain network organization in different task domains.</jats:p>}},
  author       = {{Gölz, Christian Johannes and Mora, Karin and Stroehlein, Julia Kristin and Haase, Franziska Katharina and Dellnitz, Michael and Reinsberger, Claus and Vieluf, Solveig}},
  issn         = {{1871-4080}},
  journal      = {{Cognitive Neurodynamics}},
  keywords     = {{Cognitive Neuroscience}},
  number       = {{5}},
  pages        = {{847--859}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults}}},
  doi          = {{10.1007/s11571-020-09656-9}},
  volume       = {{15}},
  year         = {{2021}},
}

@article{30114,
  author       = {{Gölz, Christian Johannes and Mora, K. and Rudisch, J. and Gaidai, Roman and Reuter, E. and Godde, B. and Reinsberger, Claus and Voelcker-Rehage, C. and Vieluf, S.}},
  issn         = {{0893-6080}},
  journal      = {{Neural Networks}},
  keywords     = {{Artificial Intelligence, Cognitive Neuroscience}},
  pages        = {{363--374}},
  publisher    = {{Elsevier BV}},
  title        = {{{Classification of visuomotor tasks based on electroencephalographic data depends on age-related differences in brain activity patterns}}},
  doi          = {{10.1016/j.neunet.2021.04.029}},
  volume       = {{142}},
  year         = {{2021}},
}

@article{30118,
  abstract     = {{<jats:title>Zusammenfassung</jats:title><jats:p>
          Einleitung Im Rahmen der Demenz vom Alzheimer-Typ (DAT) zeigt sich eine gestörte neuronale Netzwerkorganisation, welche sich unter anderem auch im Default Mode Netzwerk (DMN) widerspiegelt. Multimodale Interventionen, wie zum Beispiel Golf, können einen positiven Einfluss auf die funktionelle Integrität der Netzwerke haben.</jats:p><jats:p>
          Methodik Im Rahmen einer Pilotstudie wurde der Einfluss des Erlernens der Sportart Golf bei sieben älteren Menschen (&gt; 60 Jahre) mit subjektiven Gedächtnisbeschwerden auf die funktionelle Konnektivität des DMN untersucht. Die Probanden haben 22 Wochen unter Anleitung eines professionellen Golftrainers dreimal wöchentlich je 60 min trainiert. Vor (Messzeitpunkt 0, MZP0) und nach der Intervention (Messzeitpunkt 1, MZP1) wurde eine Elektroenzephalografie (EEG)-Messung unter Ruhebedingungen (resting-state) durchgeführt. Die EEG-Daten wurden mit einem Magnetresonanztomographie-Template koregistriert. Die Konnektivitätsanalyse wurde in 15 Regionen des DMN durchgeführt und im Längsschnitt verglichen. Dabei wurden die Frequenzbänder beta (14–29 Hz) und theta (5–7 Hz) berücksichtigt.</jats:p><jats:p>
          Ergebnisse Nach der Intervention wurde eine höhere funktionelle Konnektivität im gesamten DMN bei 5 / 7 Teilnehmenden im beta Frequenzband bzw. bei 6 / 7 Probanden im theta Frequenzband zu MZP1 im Vergleich zu MZP0 gemessen. Im anterioren DMN war bei allen Probanden und Probandinnen die funktionelle Konnektivität im beta Frequenzband zu MZP1 im Vergleich zu MZP 0 höher, während sie im theta-Band bei 6 von 7 Teilnehmenden niedriger war. Im posterioren DMN war bei 6 von 7 (beta), bzw. 5 von 7 (theta) Probanden und Probandinnen die funktionelle Konnektivität zu MZP1 höher als zu MZP0. Spearman-Korrelationsanalysen zeigen zudem einen Zusammenhang zwischen der Teilnahmehäufigkeit und der prozentualen Veränderung der funktionellen Konnektivität im gesamten DMN des beta Frequenzbandes (r = 0,786, p = 0,036) und im anterioren DMN des theta Frequenzbandes (r = –0,821, p = 0,023).</jats:p><jats:p>
          Fazit Auf Basis der vorliegenden Daten lässt sich vermuten, dass das Erlernen der Sportart Golf einen Einfluss auf das DMN haben könnte. Die Ergebnisse bilden die Grundlage für die Planung einer Studie mit einer größeren Kohorte und randomisierten kontrollierten Design.</jats:p>}},
  author       = {{Ströhlein, Julia Kristin and Vieluf, Solveig and van den Bongard, Franziska and Gölz, Christian Johannes and Reinsberger, Claus}},
  issn         = {{1613-0863}},
  journal      = {{B&G Bewegungstherapie und Gesundheitssport}},
  number       = {{02}},
  pages        = {{65--72}},
  publisher    = {{Georg Thieme Verlag KG}},
  title        = {{{Golf spielen gegen die Vergesslichkeit: Effekte des Erlernens der Sportart auf das Default Mode Netzwerk des Gehirns}}},
  doi          = {{10.1055/a-1120-7002}},
  volume       = {{36}},
  year         = {{2020}},
}

@article{30120,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>As the proportion of people over 60 years of age rises continuously in westernized societies, it becomes increasingly important to better understand aging processes and how to maintain independence in old age. Fine motor tasks are essential in daily living and, therefore, necessary to maintain. This paper extends the existing literature on fine motor control by manipulating the difficulty of a force maintenance task to characterize performance optima for elderly. Thirty-seven elderly (<jats:italic>M</jats:italic> = 68.00, SD = 4.65) performed a force control task at dynamically varying force levels, i.e. randomly changing every 3 s between 10%, 20%, and 30% of the individual’s maximum voluntary contraction (MVC). This task was performed alone or with one or two additional tasks to increase task difficulty. The force control characteristics accuracy, variability, and complexity were analyzed. Lowest variability was observed at 20%. Accuracy and complexity increased with increasing force level. Overall, increased task difficulty had a negative impact on task performance. Results support the assumption, that attention control has a major impact on force control performance in elderly people. We assume different parameters to have their optimum at different force levels, which remain comparably stable when additional tasks are performed. The study contributes to a better understanding of how force control is affected in real-life situations when it is performed simultaneously to other cognitive and sensory active and passive tasks.</jats:p>}},
  author       = {{Strote, Caren and Gölz, Christian Johannes and Stroehlein, Julia Kristin and Haase, Franziska Katharina and Koester, Dirk and Reinsberger, Claus and Vieluf, Solveig}},
  issn         = {{0014-4819}},
  journal      = {{Experimental Brain Research}},
  keywords     = {{General Neuroscience}},
  number       = {{10}},
  pages        = {{2179--2188}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Effects of force level and task difficulty on force control performance in elderly people}}},
  doi          = {{10.1007/s00221-020-05864-1}},
  volume       = {{238}},
  year         = {{2020}},
}

@article{30116,
  author       = {{Gölz, Christian Johannes and Voelcker-Rehage, Claudia and Mora, Karin and Reuter, Eva-Maria and Godde, Ben and Dellnitz, Michael and Reinsberger, Claus and Vieluf, Solveig}},
  issn         = {{1664-042X}},
  journal      = {{Frontiers in Physiology}},
  keywords     = {{Physiology (medical), Physiology}},
  publisher    = {{Frontiers Media SA}},
  title        = {{{Improved Neural Control of Movements Manifests in Expertise-Related Differences in Force Output and Brain Network Dynamics}}},
  doi          = {{10.3389/fphys.2018.01540}},
  volume       = {{9}},
  year         = {{2018}},
}

@article{30121,
  author       = {{Vieluf, Solveig and Mora, Karin and Gölz, Christian Johannes and Reuter, Eva-Maria and Godde, Ben and Dellnitz, Michael and Reinsberger, Claus and Voelcker-Rehage, Claudia}},
  issn         = {{0306-4522}},
  journal      = {{Neuroscience}},
  keywords     = {{General Neuroscience}},
  pages        = {{203--213}},
  publisher    = {{Elsevier BV}},
  title        = {{{Age- and Expertise-Related Differences of Sensorimotor Network Dynamics during Force Control}}},
  doi          = {{10.1016/j.neuroscience.2018.07.025}},
  volume       = {{388}},
  year         = {{2018}},
}

