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Ophey A, Röttgen S, Pauquet J, Weiß KL, Scharfenberg D, Doppler CEJ, Seger A, Hansen C, Fink GR, Sommerauer M, Kalbe E. Cognitive training and promoting a healthy lifestyle for individuals with isolated REM sleep behavior disorder: study protocol of the delayed-start randomized controlled trial CogTrAiL-RBD. Trials 2024; 25:428. [PMID: 38943191 PMCID: PMC11214208 DOI: 10.1186/s13063-024-08265-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 06/18/2024] [Indexed: 07/01/2024] Open
Abstract
BACKGROUND Isolated REM sleep behavior disorder (iRBD) is an early α-synucleinopathy often accompanied by incipient cognitive impairment. As executive dysfunctions predict earlier phenotypic conversion from iRBD to Parkinson's disease and Lewy body dementia, cognitive training focusing on executive functions could have disease-modifying effects for individuals with iRBD. METHODS The study CogTrAiL-RBD investigates the short- and long-term effectiveness and the feasibility and underlying neural mechanisms of a cognitive training intervention for individuals with iRBD. The intervention consists of a 5-week digital cognitive training accompanied by a module promoting a healthy, active lifestyle. In this monocentric, single-blinded, delayed-start randomized controlled trial, the intervention's effectiveness will be evaluated compared to an initially passive control group that receives the intervention in the second, open-label phase of the study. Eighty individuals with iRBD confirmed by polysomnography will be consecutively recruited from the continuously expanding iRBD cohort at the University Hospital Cologne. The evaluation will focus on cognition and additional neuropsychological and motor variables. Furthermore, the study will examine the feasibility of the intervention, effects on physical activity assessed by accelerometry, and interrogate the intervention's neural effects using magnetic resonance imaging and polysomnography. Besides, a healthy, age-matched control group (HC) will be examined at the first assessment time point, enabling a cross-sectional comparison between individuals with iRBD and HC. DISCUSSION This study will provide insights into whether cognitive training and psychoeducation on a healthy, active lifestyle have short- and long-term (neuro-)protective effects for individuals with iRBD. TRIAL REGISTRATION The study was prospectively registered in the German Clinical Trial Register (DRKS00024898) on 2022-03-11, https://drks.de/search/de/trial/DRKS00024898 . PROTOCOL VERSION V5 2023-04-24.
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Affiliation(s)
- Anja Ophey
- Department of Medical Psychology | Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany.
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany.
| | - Sinah Röttgen
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Julia Pauquet
- Department of Medical Psychology | Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Kim-Lara Weiß
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Daniel Scharfenberg
- Department of Medical Psychology | Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Christopher E J Doppler
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Aline Seger
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Clint Hansen
- Department of Neurology, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Gereon R Fink
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Michael Sommerauer
- Cognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Center Jülich, Jülich, Germany
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
- Center of Neurology, Department of Parkinson, Sleep and Movement Disorders, University of Bonn, Bonn, Germany
| | - Elke Kalbe
- Department of Medical Psychology | Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
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Saywell I, Foreman L, Child B, Phillips-Hughes AL, Collins-Praino L, Baetu I. Influence of cognitive reserve on cognitive and motor function in α-synucleinopathies: A systematic review and multilevel meta-analysis. Neurosci Biobehav Rev 2024; 161:105672. [PMID: 38608829 DOI: 10.1016/j.neubiorev.2024.105672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 03/26/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024]
Abstract
Cognitive reserve has shown promise as a justification for neuropathologically unexplainable clinical outcomes in Alzheimer's disease. Recent evidence suggests this effect may be replicated in conditions like Parkinson's disease, dementia with Lewy bodies, and multiple system atrophy. However, the relationships between cognitive reserve and different cognitive abilities, as well as motor outcomes, are still poorly understood in these conditions. Additionally, it is unclear whether the reported effects are confounded by medication. This review analysed studies investigating the relationship between cognitive reserve and clinical outcomes in these α-synucleinopathy cohorts, identified from MEDLINE, Scopus, psycINFO, CINAHL, and Web of Science. 85 records, containing 176 cognition and 31 motor function effect sizes, were pooled using multilevel meta-analysis. There was a significant, positive association between higher cognitive reserve and both better cognition and motor function. Cognition effect sizes differed by disease subtype, cognitive reserve measure, and outcome type; however, no moderators significantly impacted motor function. Review findings highlight the clinical implications of cognitive reserve and importance of engaging in reserve-building behaviours.
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Affiliation(s)
- Isaac Saywell
- School of Psychology, University of Adelaide, Adelaide 5005, Australia.
| | - Lauren Foreman
- School of Psychology, University of Adelaide, Adelaide 5005, Australia
| | - Brittany Child
- School of Psychology, University of Adelaide, Adelaide 5005, Australia
| | | | | | - Irina Baetu
- School of Psychology, University of Adelaide, Adelaide 5005, Australia.
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D’Cruz N, De Vleeschhauwer J, Putzolu M, Nackaerts E, Gilat M, Nieuwboer A. Sensorimotor Network Segregation Predicts Long-Term Learning of Writing Skills in Parkinson's Disease. Brain Sci 2024; 14:376. [PMID: 38672025 PMCID: PMC11047850 DOI: 10.3390/brainsci14040376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/07/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
The prediction of motor learning in Parkinson's disease (PD) is vastly understudied. Here, we investigated which clinical and neural factors predict better long-term gains after an intensive 6-week motor learning program to ameliorate micrographia. We computed a composite score of learning through principal component analysis, reflecting better writing accuracy on a tablet in single and dual task conditions. Three endpoints were studied-acquisition (pre- to post-training), retention (post-training to 6-week follow-up), and overall learning (acquisition plus retention). Baseline writing, clinical characteristics, as well as resting-state network segregation were used as predictors. We included 28 patients with PD (13 freezers and 15 non-freezers), with an average disease duration of 7 (±3.9) years. We found that worse baseline writing accuracy predicted larger gains for acquisition and overall learning. After correcting for baseline writing accuracy, we found female sex to predict better acquisition, and shorter disease duration to help retention. Additionally, absence of FOG, less severe motor symptoms, female sex, better unimanual dexterity, and better sensorimotor network segregation impacted overall learning positively. Importantly, three factors were retained in a multivariable model predicting overall learning, namely baseline accuracy, female sex, and sensorimotor network segregation. Besides the room to improve and female sex, sensorimotor network segregation seems to be a valuable measure to predict long-term motor learning potential in PD.
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Affiliation(s)
- Nicholas D’Cruz
- Research Group for Neurorehabilitation (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101, Box 1500, B-3001 Leuven, Belgium; (N.D.); (J.D.V.); (E.N.); (M.G.)
| | - Joni De Vleeschhauwer
- Research Group for Neurorehabilitation (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101, Box 1500, B-3001 Leuven, Belgium; (N.D.); (J.D.V.); (E.N.); (M.G.)
| | - Martina Putzolu
- Department of Experimental Medicine (DIMES), Section of Human Physiology, University of Genoa, 16132 Genoa, Italy;
| | - Evelien Nackaerts
- Research Group for Neurorehabilitation (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101, Box 1500, B-3001 Leuven, Belgium; (N.D.); (J.D.V.); (E.N.); (M.G.)
| | - Moran Gilat
- Research Group for Neurorehabilitation (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101, Box 1500, B-3001 Leuven, Belgium; (N.D.); (J.D.V.); (E.N.); (M.G.)
| | - Alice Nieuwboer
- Research Group for Neurorehabilitation (eNRGy), Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101, Box 1500, B-3001 Leuven, Belgium; (N.D.); (J.D.V.); (E.N.); (M.G.)
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Giehl K, Theis H, Ophey A, Hammes J, Reker P, Eggers C, Fink GR, Kalbe E, van Eimeren T. Working Memory Training Responsiveness in Parkinson's Disease Is Not Determined by Cortical Thickness or White Matter Lesions. JOURNAL OF PARKINSON'S DISEASE 2024; 14:347-351. [PMID: 38277302 PMCID: PMC10977422 DOI: 10.3233/jpd-230367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/20/2023] [Indexed: 01/28/2024]
Abstract
Patients with Parkinson's disease are highly vulnerable for cognitive decline. Thus, early intervention by means of working memory training (WMT) may be effective for the preservation of cognition. However, the influence of structural brain properties, i.e., cortical thickness and volume of white matter lesions on training responsiveness have not been studied. Here, behavioral and neuroimaging data of 46 patients with Parkinson's disease, 21 of whom engaged in home-based, computerized adaptive WMT, was analyzed. While cortical thickness and white matter lesions volume were associated with cognitive performance at baseline, these structural brain properties do not seem to determine WMT responsiveness.
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Affiliation(s)
- Kathrin Giehl
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Multimodal Neuroimaging Group, Cologne, Germany
- Research Center Jülich, Institute for Neuroscience and Medicine (INM-2), Jülich, Germany
| | - Hendrik Theis
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Multimodal Neuroimaging Group, Cologne, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Anja Ophey
- Department of Medical Psychology, Faculty of Medicine and University Hospital Cologne, Neuropsychology and Gender Studies and Center for Neuropsychological Diagnostics and Intervention (CeNDI), University of Cologne, Cologne, Germany
| | - Jochen Hammes
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Multimodal Neuroimaging Group, Cologne, Germany
- Nuklearmedizin, Radiologische Allianz, Hamburg, Germany
| | - Paul Reker
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Carsten Eggers
- Department of Neurology, Knappschaftskrankenhaus Bottrop, Bottrop, Germany
| | - Gereon R. Fink
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Research Center Jülich, Institute for Neuroscience and Medicine (INM-3), Jülich, Germany
| | - Elke Kalbe
- Department of Medical Psychology, Faculty of Medicine and University Hospital Cologne, Neuropsychology and Gender Studies and Center for Neuropsychological Diagnostics and Intervention (CeNDI), University of Cologne, Cologne, Germany
| | - Thilo van Eimeren
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Multimodal Neuroimaging Group, Cologne, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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Ophey A, Wenzel J, Paul R, Giehl K, Rehberg S, Eggers C, Reker P, van Eimeren T, Kalbe E, Kambeitz-Ilankovic L. Cognitive Performance and Learning Parameters Predict Response to Working Memory Training in Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2022; 12:2235-2247. [PMID: 36120792 PMCID: PMC9661332 DOI: 10.3233/jpd-223448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 08/23/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Working memory (WM) training (WMT) is a popular intervention approach against cognitive decline in patients with Parkinson's disease (PD). However, heterogeneity in WM responsiveness suggests that WMT may not be equally efficient for all patients. OBJECTIVE The present study aims to evaluate a multivariate model to predict post-intervention verbal WM in patients with PD using a supervised machine learning approach. We test the predictive potential of novel learning parameters derived from the WMT and compare their predictiveness to other more commonly used domains including demographic, clinical, and cognitive data. METHODS 37 patients with PD (age: 64.09±8.56, 48.6% female, 94.7% Hoehn & Yahr stage 2) participated in a 5-week WMT. Four random forest regression models including 1) cognitive variables only, 2) learning parameters only, 3) both cognitive and learning variables, and 4) the entire set of variables (with additional demographic and clinical data, 'all' model), were built to predict immediate and 3-month-follow-up WM. RESULT The 'all' model predicted verbal WM with the lowest root mean square error (RMSE) compared to the other models, at both immediate (RMSE = 0.184; 95% -CI=[0.184;0.185]) and 3-month follow-up (RMSE = 0.216; 95% -CI=[0.215;0.217]). Cognitive baseline parameters were among the most important predictors in the 'all' model. The model combining cognitive and learning parameters significantly outperformed the model solely based on cognitive variables. CONCLUSION Commonly assessed demographic, clinical, and cognitive variables provide robust prediction of response to WMT. Nonetheless, inclusion of training-inherent learning parameters further boosts precision of prediction models which in turn may augment training benefits following cognitive interventions in patients with PD.
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Affiliation(s)
- Anja Ophey
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Medical Psychology | Neuropsychology & Gender Studies, Center for Neuropsychological Diagnostic and Intervention (CeNDI), Cologne, Germany
| | - Julian Wenzel
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany
| | - Riya Paul
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
| | - Kathrin Giehl
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Nuclear Medicine, Cologne, Germany
- Research Centre Jülich, Institute of Neuroscience and Medicine (INM-2), Jülich, Germany
| | - Sarah Rehberg
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Medical Psychology | Neuropsychology & Gender Studies, Center for Neuropsychological Diagnostic and Intervention (CeNDI), Cologne, Germany
| | - Carsten Eggers
- Department of Neurology, University Hospital of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior - CMBB, Universities of Marburg and Gießen, Marburg, Germany
- Department of Neurology, Knappschaftskrankenhaus Bottrop, Bottrop, Germany
| | - Paul Reker
- Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Thilo van Eimeren
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Nuclear Medicine, Cologne, Germany
- Department of Neurology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Elke Kalbe
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Medical Psychology | Neuropsychology & Gender Studies, Center for Neuropsychological Diagnostic and Intervention (CeNDI), Cologne, Germany
| | - Lana Kambeitz-Ilankovic
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany
- Faculty of Psychology and Educational Sciences, Department of Psychology, Ludwig-Maximilian University, Munich, Germany
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Schmidt N, Tödt I, Berg D, Schlenstedt C, Folkerts AK, Ophey A, Dimenshteyn K, Elben S, Wojtecki L, Liepelt-Scarfone I, Schulte C, Sulzer P, Eggers C, Kalbe E, Witt K. Memory enhancement by multidomain group cognitive training in patients with Parkinson's disease and mild cognitive impairment: long-term effects of a multicenter randomized controlled trial. J Neurol 2021; 268:4655-4666. [PMID: 33904966 PMCID: PMC8563628 DOI: 10.1007/s00415-021-10568-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 04/12/2021] [Accepted: 04/15/2021] [Indexed: 11/02/2022]
Abstract
BACKGROUND Meta-analyses indicate positive effects of cognitive training (CT) in patients with Parkinson's disease (PD), however, most previous studies had small sample sizes and did not evaluate long-term follow-up. Therefore, a multicenter randomized controlled, single-blinded trial (Train-ParC study) was conducted to examine CT effects in PD patients with mild cognitive impairment (PD-MCI). Immediately after CT, an enhancement of executive functions was demonstrated. Here, we present the long-term results 6 and 12 months after CT. METHODS At baseline, 64 PD-MCI patients were randomized to a multidomain CT group (n = 33) or to a low-intensity physical activity training control group (PT) (n = 31). Both interventions included 90 min training sessions twice a week for 6 weeks. 54 patients completed the 6 months (CT: n = 28, PT: n = 26) and 49 patients the 12 months follow-up assessment (CT: n = 25, PT: n = 24). Primary study outcomes were memory and executive functioning composite scores. Mixed repeated measures ANOVAs, post-hoc t tests and multiple regression analyses were conducted. RESULTS We found a significant time x group interaction effect for the memory composite score (p = 0.006, η2 = 0.214), but not for the executive composite score (p = 0.967, η2 = 0.002). Post-hoc t tests revealed significant verbal and nonverbal memory improvements from pre-intervention to 6 months, but not to 12 months follow-up assessment in the CT group. No significant predictors were found for predicting memory improvement after CT. CONCLUSIONS This study provides Class 1 evidence that multidomain CT enhances memory functioning in PD-MCI after 6 months but not after 12 months, whereas executive functioning did not change in the long-term. CLINICAL TRIAL REGISTRATION German Clinical Trials Register (ID: DRKS00010186), 21.3.2016 (The study registration is outlined as retrospective due to an administrative delay. The first patient was enrolled three months after the registration process was started. A formal confirmation of this process from the German Clinical Trials Register can be obtained from the authors.).
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Affiliation(s)
- Nele Schmidt
- Department of Neurology, University Oldenburg, Steinweg 13-17, 26122, Oldenburg, Germany.,Department of Neurology, University Hospital Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany
| | - Inken Tödt
- Department of Neurology, University Hospital Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany
| | - Daniela Berg
- Department of Neurology, University Hospital Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany
| | - Christian Schlenstedt
- Department of Neurology, University Hospital Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany
| | - Ann-Kristin Folkerts
- Medical Psychology, Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Interventions (CeNDI), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Anja Ophey
- Medical Psychology, Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Interventions (CeNDI), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Karina Dimenshteyn
- Department of Neurology, Center for Movement Disorders and Neuromodulation and Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Saskia Elben
- Department of Neurology, Center for Movement Disorders and Neuromodulation and Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Lars Wojtecki
- Department of Neurology, Center for Movement Disorders and Neuromodulation and Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Inga Liepelt-Scarfone
- Department of Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE) and Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany.,IB Hochschule Für Gesundheit Und Soziales, Stuttgart, Germany
| | - Claudia Schulte
- Department of Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE) and Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany
| | - Patricia Sulzer
- Department of Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE) and Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany
| | - Carsten Eggers
- Department of Neurology, University Hospital of Marburg, Center for Mind, Brain and Behavior (CMBB), Universities Marburg and Giessen, Marburg, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Elke Kalbe
- Medical Psychology, Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Interventions (CeNDI), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Karsten Witt
- Department of Neurology, University Oldenburg, Steinweg 13-17, 26122, Oldenburg, Germany. .,Research Center Neurosensory Science, Carl von Ossietzky University Oldenburg, Oldenburg, Germany.
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