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Sawai S, Murata S, Fujikawa S, Yamamoto R, Shima K, Nakano H. Effects of neurofeedback training combined with transcranial direct current stimulation on motor imagery: A randomized controlled trial. Front Neurosci 2023; 17:1148336. [PMID: 36937688 PMCID: PMC10017549 DOI: 10.3389/fnins.2023.1148336] [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: 01/20/2023] [Accepted: 02/16/2023] [Indexed: 03/06/2023] Open
Abstract
Introduction Neurofeedback (NFB) training and transcranial direct current stimulation (tDCS) have been shown to individually improve motor imagery (MI) abilities. However, the effect of combining both of them with MI has not been verified. Therefore, the aim of this study was to examine the effect of applying tDCS directly before MI with NFB. Methods Participants were divided into an NFB group (n = 10) that performed MI with NFB and an NFB + tDCS group (n = 10) that received tDCS for 10 min before MI with NFB. Both groups performed 60 MI trials with NFB. The MI task was performed 20 times without NFB before and after training, and μ-event-related desynchronization (ERD) and vividness MI were evaluated. Results μ-ERD increased significantly in the NFB + tDCS group compared to the NFB group. MI vividness significantly increased before and after training. Discussion Transcranial direct current stimulation and NFB modulate different processes with respect to MI ability improvement; hence, their combination might further improve MI performance. The results of this study indicate that the combination of NFB and tDCS for MI is more effective in improving MI abilities than applying them individually.
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Affiliation(s)
- Shun Sawai
- Graduate School of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
- Department of Rehabilitation, Kyoto Kuno Hospital, Kyoto, Japan
| | - Shin Murata
- Graduate School of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
| | - Shoya Fujikawa
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
| | - Ryosuke Yamamoto
- Department of Rehabilitation, Tesseikai Neurosurgical Hospital, Shijonawate, Japan
| | - Keisuke Shima
- Graduate School of Environment and Information Sciences, Yokohama National University, Yokohama, Japan
| | - Hideki Nakano
- Graduate School of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
- Department of Physical Therapy, Faculty of Health Sciences, Kyoto Tachibana University, Kyoto, Japan
- *Correspondence: Hideki Nakano,
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fMRI and transcranial electrical stimulation (tES): A systematic review of parameter space and outcomes. Prog Neuropsychopharmacol Biol Psychiatry 2021; 107:110149. [PMID: 33096158 DOI: 10.1016/j.pnpbp.2020.110149] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 08/12/2020] [Accepted: 10/17/2020] [Indexed: 12/12/2022]
Abstract
The combination of non-invasive brain stimulation interventions with human brain mapping methods have supported research beyond correlational associations between brain activity and behavior. Functional MRI (fMRI) partnered with transcranial electrical stimulation (tES) methods, i.e., transcranial direct current (tDCS), transcranial alternating current (tACS), and transcranial random noise (tRNS) stimulation, explore the neuromodulatory effects of tES in the targeted brain regions and their interconnected networks and provide opportunities for individualized interventions. Advances in the field of tES-fMRI can be hampered by the methodological variability between studies that confounds comparability/replicability. In order to explore variability in the tES-fMRI methodological parameter space (MPS), we conducted a systematic review of 222 tES-fMRI experiments (181 tDCS, 39 tACS and 2 tRNS) published before February 1, 2019, and suggested a framework to systematically report main elements of MPS across studies. Publications dedicated to tRNS-fMRI were not considered in this systematic review. We have organized main findings in terms of fMRI modulation by tES. tES modulates activation and connectivity beyond the stimulated areas particularly with prefrontal stimulation. There were no two studies with the same MPS to replicate findings. We discuss how to harmonize the MPS to promote replication in future studies.
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Carino-Escobar RI, Galicia-Alvarado M, Marrufo OR, Carrillo-Mora P, Cantillo-Negrete J. Brain-computer interface performance analysis of monozygotic twins with discordant hand dominance: A case study. Laterality 2020; 25:513-536. [PMID: 31918621 DOI: 10.1080/1357650x.2019.1710525] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Brain-computer interfaces (BCI) decode user's intentions to control external devices. However, performance variations across individuals have limited their use to laboratory environments. Handedness could contribute to these variations, especially when motor imagery (MI) tasks are used for BCI control. To further understand how handedness affects BCI control, performance differences between two monozygotic twins were analysed during offline movement and MI tasks, and while twins controlled a BCI using right-hand MI. Quantitative electroencephalography (qEEG), brain structures' volumes, and neuropsychological tests were assessed to evaluate physiological, anatomical and psychological relationships with BCI performance. Results showed that both twins had good motor imagery and attention abilities, similar volumes on most subcortical brain structures, more pronounced event-related desynchronization elicited by the twin performing non-dominant MI, and that this twin also obtained significant higher performances with the BCI. Linear regression analysis implied a strong association between twins' BCI performance, and more pronounced cortical activations in the contralateral hemisphere relative to hand MI. Therefore, it is possible that BCI performance was related with the ability of each twin to elicit cortical activations during hand MI, and less associated with subcortical brain structures' volumes and neuropsychological tests.
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Affiliation(s)
- Ruben I Carino-Escobar
- Division of Research in Medical Engineering, National Institute of Rehabilitation "Luis Guillermo Ibarra Ibarra", Mexico City, Mexico
| | - Marlene Galicia-Alvarado
- Department of Electrodiagnostic, National Institute of Rehabilitation "Luis Guillermo Ibarra Ibarra", Mexico City, Mexico
| | - Oscar R Marrufo
- Department of Neuroimage, National Institute of Neurology and Neurosurgery "Manuel Velasco Suárez", Mexico City, Mexico
| | - Paul Carrillo-Mora
- Division of Neuroscience, National Institute of Rehabilitation "Luis Guillermo Ibarra Ibarra", Mexico City, Mexico
| | - Jessica Cantillo-Negrete
- Division of Research in Medical Engineering, National Institute of Rehabilitation "Luis Guillermo Ibarra Ibarra", Mexico City, Mexico
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Mondini V, Mangia AL, Cappello A. Single-session tDCS over the dominant hemisphere affects contralateral spectral EEG power, but does not enhance neurofeedback-guided event-related desynchronization of the non-dominant hemisphere's sensorimotor rhythm. PLoS One 2018. [PMID: 29513682 PMCID: PMC5841755 DOI: 10.1371/journal.pone.0193004] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND AND OBJECTIVE Transcranial direct current stimulation (tDCS) and neurofeedback-guided motor imagery (MI) have attracted considerable interest in neurorehabilitation, given their ability to influence neuroplasticity. As tDCS has been shown to modulate event-related desynchronization (ERD), the neural signature of motor imagery detected for neurofeedback, a combination of the techniques was recently proposed. One limitation of this approach is that the area targeted for stimulation is the same from which the signal for neurofeedback is acquired. As tDCS may interfere with proximal electroencephalographic (EEG) electrodes, in this study our aim was to test whether contralateral tDCS could have interhemispheric effects on the spectral power of the unstimulated hemisphere, possibly mediated by transcallosal connection, and whether such effects could be used to enhance ERD magnitudes. A contralateral stimulation approach would indeed facilitate co-registration, as the stimulation electrode would be far from the recording sites. METHODS Twenty right-handed healthy volunteers (aged 21 to 32) participated in the study: ten assigned to cathodal, ten to anodal versus sham stimulation. We applied stimulation over the dominant (left) hemisphere, and assessed ERD and spectral power over the non-dominant (right) hemisphere. The effect of tDCS was evaluated over time. Spectral power was assessed in theta, alpha and beta bands, under both rest and MI conditions, while ERD was evaluated in alpha and beta bands. RESULTS Two main findings emerged: (1) contralateral alpha-ERD was reduced after anodal (p = 0.0147), but not enhanced after cathodal tDCS; (2) both stimulations had remote effects on the spectral power of the contralateral hemisphere, particularly in theta and alpha (significant differences in the topographical t-value maps). CONCLUSION The absence of contralateral cathodal ERD enhancement suggests that the protocol is not applicable in the context of MI training. Nevertheless, ERD results of anodal and spectral power results of both stimulations complement recent findings on the distant tDCS effects between functionally related areas.
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Affiliation(s)
- Valeria Mondini
- Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, Cesena, Italy
- * E-mail:
| | - Anna Lisa Mangia
- Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, Cesena, Italy
| | - Angelo Cappello
- Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, Cesena, Italy
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Jochumsen M, Rovsing C, Rovsing H, Cremoux S, Signal N, Allen K, Taylor D, Niazi IK. Quantification of Movement-Related EEG Correlates Associated with Motor Training: A Study on Movement-Related Cortical Potentials and Sensorimotor Rhythms. Front Hum Neurosci 2017; 11:604. [PMID: 29375337 PMCID: PMC5770657 DOI: 10.3389/fnhum.2017.00604] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Accepted: 11/27/2017] [Indexed: 12/13/2022] Open
Abstract
The ability to learn motor tasks is important in both healthy and pathological conditions. Measurement tools commonly used to quantify the neurophysiological changes associated with motor training such as transcranial magnetic stimulation and functional magnetic resonance imaging pose some challenges, including safety concerns, utility, and cost. EEG offers an attractive alternative as a quantification tool. Different EEG phenomena, movement-related cortical potentials (MRCPs) and sensorimotor rhythms (event-related desynchronization—ERD, and event-related synchronization—ERS), have been shown to change with motor training, but conflicting results have been reported. The aim of this study was to investigate how the EEG correlates (MRCP and ERD/ERS) from the motor cortex are modulated by short (single session in 14 subjects) and long (six sessions in 18 subjects) motor training. Ninety palmar grasps were performed before and after 1 × 45 (or 6 × 45) min of motor training with the non-dominant hand (laparoscopic surgery simulation). Four channels of EEG were recorded continuously during the experiments. The MRCP and ERD/ERS from the alpha/mu and beta bands were calculated and compared before and after the training. An increase in the MRCP amplitude was observed after a single session of training, and a decrease was observed after six sessions. For the ERD/ERS analysis, a significant change was observed only after the single training session in the beta ERD. In conclusion, the MRCP and ERD change as a result of motor training, but they are subject to a marked intra- and inter-subject variability.
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Affiliation(s)
- Mads Jochumsen
- SMI, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Cecilie Rovsing
- SMI, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Helene Rovsing
- SMI, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Sylvain Cremoux
- LAMIH, UMR Centre National de la Recherche Scientifique 8201, Université de Valenciennes et du Hainaut-Cambrésis, Valenciennes, France
| | - Nada Signal
- Health and Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand
| | - Kathryn Allen
- Center for Chiropractic Research, New Zealand College of Chiropractic, Auckland, New Zealand
| | - Denise Taylor
- Health and Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand
| | - Imran K Niazi
- SMI, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.,Health and Rehabilitation Research Institute, Auckland University of Technology, Auckland, New Zealand.,Center for Chiropractic Research, New Zealand College of Chiropractic, Auckland, New Zealand
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Remsik A, Young B, Vermilyea R, Kiekhoefer L, Abrams J, Evander Elmore S, Schultz P, Nair V, Edwards D, Williams J, Prabhakaran V. A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke. Expert Rev Med Devices 2017; 13:445-54. [PMID: 27112213 DOI: 10.1080/17434440.2016.1174572] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Stroke is a leading cause of acquired disability resulting in distal upper extremity functional motor impairment. Stroke mortality rates continue to decline with advances in healthcare and medical technology. This has led to an increased demand for advanced, personalized rehabilitation. Survivors often experience some level of spontaneous recovery shortly after their stroke event, yet reach a functional plateau after which there is exiguous motor recovery. Nevertheless, studies have demonstrated the potential for recovery beyond this plateau. Non-traditional neurorehabilitation techniques, such as those incorporating the brain-computer interface (BCI), are being investigated for rehabilitation. BCIs may offer a gateway to the brain's plasticity and revolutionize how humans interact with the world. Non-invasive BCIs work by closing the proprioceptive feedback loop with real-time, multi-sensory feedback allowing for volitional modulation of brain signals to assist hand function. BCI technology potentially promotes neuroplasticity and Hebbian-based motor recovery by rewarding cortical activity associated with sensory-motor rhythms through use with a variety of self-guided and assistive modalities.
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Affiliation(s)
- Alexander Remsik
- a Department of Radiology Clinical Science Center , University of Wisconsin Madison School of Medicine and Public Health Ringgold Standard Institution , Madison , WI , USA
| | - Brittany Young
- a Department of Radiology Clinical Science Center , University of Wisconsin Madison School of Medicine and Public Health Ringgold Standard Institution , Madison , WI , USA
| | - Rebecca Vermilyea
- a Department of Radiology Clinical Science Center , University of Wisconsin Madison School of Medicine and Public Health Ringgold Standard Institution , Madison , WI , USA
| | - Laura Kiekhoefer
- a Department of Radiology Clinical Science Center , University of Wisconsin Madison School of Medicine and Public Health Ringgold Standard Institution , Madison , WI , USA
| | - Jessica Abrams
- a Department of Radiology Clinical Science Center , University of Wisconsin Madison School of Medicine and Public Health Ringgold Standard Institution , Madison , WI , USA
| | - Samantha Evander Elmore
- a Department of Radiology Clinical Science Center , University of Wisconsin Madison School of Medicine and Public Health Ringgold Standard Institution , Madison , WI , USA
| | - Paige Schultz
- a Department of Radiology Clinical Science Center , University of Wisconsin Madison School of Medicine and Public Health Ringgold Standard Institution , Madison , WI , USA
| | - Veena Nair
- a Department of Radiology Clinical Science Center , University of Wisconsin Madison School of Medicine and Public Health Ringgold Standard Institution , Madison , WI , USA
| | - Dorothy Edwards
- a Department of Radiology Clinical Science Center , University of Wisconsin Madison School of Medicine and Public Health Ringgold Standard Institution , Madison , WI , USA
| | - Justin Williams
- a Department of Radiology Clinical Science Center , University of Wisconsin Madison School of Medicine and Public Health Ringgold Standard Institution , Madison , WI , USA
| | - Vivek Prabhakaran
- a Department of Radiology Clinical Science Center , University of Wisconsin Madison School of Medicine and Public Health Ringgold Standard Institution , Madison , WI , USA
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Cheron G, Petit G, Cheron J, Leroy A, Cebolla A, Cevallos C, Petieau M, Hoellinger T, Zarka D, Clarinval AM, Dan B. Brain Oscillations in Sport: Toward EEG Biomarkers of Performance. Front Psychol 2016; 7:246. [PMID: 26955362 PMCID: PMC4768321 DOI: 10.3389/fpsyg.2016.00246] [Citation(s) in RCA: 86] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2015] [Accepted: 02/08/2016] [Indexed: 01/20/2023] Open
Abstract
Brain dynamics is at the basis of top performance accomplishment in sports. The search for neural biomarkers of performance remains a challenge in movement science and sport psychology. The non-invasive nature of high-density electroencephalography (EEG) recording has made it a most promising avenue for providing quantitative feedback to practitioners and coaches. Here, we review the current relevance of the main types of EEG oscillations in order to trace a perspective for future practical applications of EEG and event-related potentials (ERP) in sport. In this context, the hypotheses of unified brain rhythms and continuity between wake and sleep states should provide a functional template for EEG biomarkers in sport. The oscillations in the thalamo-cortical and hippocampal circuitry including the physiology of the place cells and the grid cells provide a frame of reference for the analysis of delta, theta, beta, alpha (incl.mu), and gamma oscillations recorded in the space field of human performance. Based on recent neuronal models facilitating the distinction between the different dynamic regimes (selective gating and binding) in these different oscillations we suggest an integrated approach articulating together the classical biomechanical factors (3D movements and EMG) and the high-density EEG and ERP signals to allow finer mathematical analysis to optimize sport performance, such as microstates, coherency/directionality analysis and neural generators.
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Affiliation(s)
- Guy Cheron
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de BruxellesBrussels, Belgium; Laboratory of Electrophysiology, Université de Mons-HainautMons, Belgium
| | - Géraldine Petit
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Julian Cheron
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Axelle Leroy
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de BruxellesBrussels, Belgium; Haute Ecole CondorcetCharleroi, Belgium
| | - Anita Cebolla
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Carlos Cevallos
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Mathieu Petieau
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Thomas Hoellinger
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - David Zarka
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Anne-Marie Clarinval
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de Bruxelles Brussels, Belgium
| | - Bernard Dan
- Laboratory of Neurophysiology and Movement Biomechanics, Université Libre de Bruxelles Neuroscience Institut, Université Libre de BruxellesBrussels, Belgium; Inkendaal Rehabilitation HospitalVlezembeek, Belgium
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Sauvaget A, Trojak B, Bulteau S, Jiménez-Murcia S, Fernández-Aranda F, Wolz I, Menchón JM, Achab S, Vanelle JM, Grall-Bronnec M. Transcranial direct current stimulation (tDCS) in behavioral and food addiction: a systematic review of efficacy, technical, and methodological issues. Front Neurosci 2015; 9:349. [PMID: 26500478 PMCID: PMC4598576 DOI: 10.3389/fnins.2015.00349] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Accepted: 09/14/2015] [Indexed: 01/29/2023] Open
Abstract
Objectives: Behavioral addictions (BA) are complex disorders for which pharmacological and psychotherapeutic treatments have shown their limits. Non-invasive brain stimulation, among which transcranial direct current stimulation (tDCS), has opened up new perspectives in addiction treatment. The purpose of this work is to conduct a critical and systematic review of tDCS efficacy, and of technical and methodological considerations in the field of BA. Methods: A bibliographic search has been conducted on the Medline and ScienceDirect databases until December 2014, based on the following selection criteria: clinical studies on tDCS and BA (namely eating disorders, compulsive buying, Internet addiction, pathological gambling, sexual addiction, sports addiction, video games addiction). Study selection, data analysis, and reporting were conducted according to the PRISMA guidelines. Results: Out of 402 potential articles, seven studies were selected. So far focusing essentially on abnormal eating, these studies suggest that tDCS (right prefrontal anode/left prefrontal cathode) reduces food craving induced by visual stimuli. Conclusions: Despite methodological and technical differences between studies, the results are promising. So far, only few studies of tDCS in BA have been conducted. New research is recommended on the use of tDCS in BA, other than eating disorders.
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Affiliation(s)
- Anne Sauvaget
- Addictology and Liaison Psychiatry Department, Nantes University Hospital Nantes, France ; Clinical Investigation Unit 18-BALANCED "BehaviorAL AddictioNs and ComplEx Mood Disorders", University Hospital of Nantes Nantes, France ; Department of Psychiatry, University Hospital of Bellvitge-IDIBELL Barcelona, Spain
| | - Benoît Trojak
- Department of Psychiatry and Addictology, University Hospital of Dijon Dijon, France ; Behavioral Addictions Program, NANT New Addictions New Treatments, Addiction Division, Department of Mental Health and Psychiatry, University Hospital of Geneva Geneva, Switzerland
| | - Samuel Bulteau
- Addictology and Liaison Psychiatry Department, Nantes University Hospital Nantes, France ; Clinical Investigation Unit 18-BALANCED "BehaviorAL AddictioNs and ComplEx Mood Disorders", University Hospital of Nantes Nantes, France
| | - Susana Jiménez-Murcia
- Department of Psychiatry, University Hospital of Bellvitge-IDIBELL Barcelona, Spain ; CIBER Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos III Barcelona, Spain
| | - Fernando Fernández-Aranda
- Department of Psychiatry, University Hospital of Bellvitge-IDIBELL Barcelona, Spain ; CIBER Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos III Barcelona, Spain
| | - Ines Wolz
- Department of Psychiatry, University Hospital of Bellvitge-IDIBELL Barcelona, Spain ; CIBER Fisiopatología Obesidad y Nutrición, Instituto de Salud Carlos III Barcelona, Spain
| | - José M Menchón
- Department of Psychiatry, University Hospital of Bellvitge-IDIBELL Barcelona, Spain ; CIBER Salud Mental, Instituto de Salud Carlos III Barcelona, Spain
| | - Sophia Achab
- Behavioral Addictions Program, NANT New Addictions New Treatments, Addiction Division, Department of Mental Health and Psychiatry, University Hospital of Geneva Geneva, Switzerland
| | - Jean-Marie Vanelle
- Addictology and Liaison Psychiatry Department, Nantes University Hospital Nantes, France ; Clinical Investigation Unit 18-BALANCED "BehaviorAL AddictioNs and ComplEx Mood Disorders", University Hospital of Nantes Nantes, France
| | - Marie Grall-Bronnec
- Addictology and Liaison Psychiatry Department, Nantes University Hospital Nantes, France ; Clinical Investigation Unit 18-BALANCED "BehaviorAL AddictioNs and ComplEx Mood Disorders", University Hospital of Nantes Nantes, France ; EA 4275 "Biostatistics, Clinical Research and Subjective Measures in Health Sciences", University of Nantes Nantes, France
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