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Merlet I, Guillery M, Weyl L, Hammal M, Maliia M, Maliia S, Biraben A, Ricordeau C, Drapier D, Nica A. EEG changes induced by meditative practices: State and trait effects in healthy subjects and in patients with epilepsy. Rev Neurol (Paris) 2024; 180:326-347. [PMID: 38503588 DOI: 10.1016/j.neurol.2024.02.387] [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: 11/17/2023] [Revised: 02/28/2024] [Accepted: 02/28/2024] [Indexed: 03/21/2024]
Abstract
The effect of meditation on brain activity has been the topic of many studies in healthy subjects and in patients suffering from chronic diseases. These effects are either explored during meditation practice (state effects) or as a longer-term result of meditation training during the resting-state (trait). The topic of this article is to first review these findings by focusing on electroencephalography (EEG) changes in healthy subjects with or without experience in meditation. Modifications in EEG baseline rhythms, functional connectivity and advanced nonlinear parameters are discussed in regard to feasibility in clinical applications. Secondly, we provide a state-of-the-art of studies that proposed meditative practices as a complementary therapy in patients with epilepsy, in whom anxiety and depressive symptoms are prevalent. In these studies, the effects of standardized meditation programs including elements of traditional meditation practices such as mindfulness, loving-kindness and compassion are explored both at the level of psychological functioning and on the occurrence of seizures. Lastly, preliminary results are given regarding our ongoing study, the aim of which is to quantify the effects of a mindfulness self-compassion (MSC) practice on interictal and ictal epileptic activity. Feasibility, difficulties, and prospects of this study are discussed.
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Affiliation(s)
- I Merlet
- Universitiy of Rennes, INSERM, LTSI - UMR 1099, F-35000 Rennes, France.
| | - M Guillery
- Centre Hospitalier Guillaume-Regnier (CHGR), University of Rennes, 35000 Rennes, France.
| | - L Weyl
- Centre Hospitalier Guillaume-Regnier (CHGR), University of Rennes, 35000 Rennes, France.
| | - M Hammal
- Centre Hospitalier Guillaume-Regnier (CHGR), University of Rennes, 35000 Rennes, France.
| | - M Maliia
- Universitiy of Rennes, INSERM, LTSI - UMR 1099, F-35000 Rennes, France; Epilepsy Unit, Reference Center for Rare Epilepsies, Neurology Department, Rennes University Hospital, Rennes, France; Center for Clinical Investigation CIC-P INSERM 1414, F-35000 Rennes, France.
| | - S Maliia
- Centre Hospitalier Guillaume-Regnier (CHGR), University of Rennes, 35000 Rennes, France.
| | - A Biraben
- Universitiy of Rennes, INSERM, LTSI - UMR 1099, F-35000 Rennes, France; Epilepsy Unit, Reference Center for Rare Epilepsies, Neurology Department, Rennes University Hospital, Rennes, France; Center for Clinical Investigation CIC-P INSERM 1414, F-35000 Rennes, France.
| | - C Ricordeau
- Epilepsy Resource Team, 54, rue Saint-Helier, 35000 Rennes, France.
| | - D Drapier
- Centre Hospitalier Guillaume-Regnier (CHGR), University of Rennes, 35000 Rennes, France.
| | - A Nica
- Universitiy of Rennes, INSERM, LTSI - UMR 1099, F-35000 Rennes, France; Epilepsy Unit, Reference Center for Rare Epilepsies, Neurology Department, Rennes University Hospital, Rennes, France; Center for Clinical Investigation CIC-P INSERM 1414, F-35000 Rennes, France.
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Zarka D, Cevallos C, Ruiz P, Petieau M, Cebolla AM, Bengoetxea A, Cheron G. Electroencephalography microstates highlight specific mindfulness traits. Eur J Neurosci 2024; 59:1753-1769. [PMID: 38221503 DOI: 10.1111/ejn.16247] [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: 09/06/2023] [Revised: 11/29/2023] [Accepted: 12/18/2023] [Indexed: 01/16/2024]
Abstract
The present study aimed to investigate the spontaneous dynamics of large-scale brain networks underlying mindfulness as a dispositional trait, through resting-state electroencephalography (EEG) microstates analysis. Eighteen participants had attended a standardized mindfulness-based stress reduction training (MBSR), and 18 matched waitlist individuals (CTRL) were recorded at rest while they were passively exposed to auditory stimuli. Participants' mindfulness traits were assessed with the Five Facet Mindfulness Questionnaire (FFMQ). To further explore the relationship between microstate dynamics at rest and mindfulness traits, participants were also asked to rate their experience according to five phenomenal dimensions. After training, MBSR participants showed a highly significant increase in FFMQ score, as well as higher observing and non-reactivity FFMQ sub-scores than CTRL participants. Microstate analysis revealed four classes of microstates (A-D) in global clustering across all subjects. The MBSR group showed lower duration, occurrence and coverage of microstate C than the control group. Moreover, these microstate C parameters were negatively correlated to non-reactivity sub-scores of FFMQ across participants, whereas the microstate A occurrence was negatively correlated to FFMQ total score. Further analysis of participants' self-reports suggested that MBSR participants showed a better sensory-affective integration of auditory interferences. In line with previous studies, our results suggest that temporal dynamics of microstate C underlie specifically the non-reactivity trait of mindfulness. These findings encourage further research into microstates in the evaluation and monitoring of the impact of mindfulness-based interventions on the mental health and well-being of individuals.
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Affiliation(s)
- D Zarka
- Laboratory of Neurophysiology and Movement Biomechanics, Research Unit in Sciences of Osteopathy, Faculty of Human Motor Sciences, Université Libre de Bruxelles, Brussels, Belgium
- Research Unit in Sciences of Osteopathy, Faculty of Human Motor Sciences, Université Libre de Bruxelles, Brussels, Belgium
| | - C Cevallos
- Laboratory of Neurophysiology and Movement Biomechanics, Research Unit in Sciences of Osteopathy, Faculty of Human Motor Sciences, Université Libre de Bruxelles, Brussels, Belgium
- Departamento de Ingeniería Mecánica, Facultad de Ingeniería Mecánica, Escuela Politécnica Nacional, Quito, Ecuador
| | - P Ruiz
- Departamento de Ingeniería Mecánica, Facultad de Ingeniería Mecánica, Escuela Politécnica Nacional, Quito, Ecuador
| | - M Petieau
- Laboratory of Neurophysiology and Movement Biomechanics, Research Unit in Sciences of Osteopathy, Faculty of Human Motor Sciences, Université Libre de Bruxelles, Brussels, Belgium
| | - A M Cebolla
- Laboratory of Neurophysiology and Movement Biomechanics, Research Unit in Sciences of Osteopathy, Faculty of Human Motor Sciences, Université Libre de Bruxelles, Brussels, Belgium
| | - A Bengoetxea
- Research Unit in Sciences of Osteopathy, Faculty of Human Motor Sciences, Université Libre de Bruxelles, Brussels, Belgium
- Athenea Neuroclinics, San Sebastian, Spain
| | - G Cheron
- Laboratory of Neurophysiology and Movement Biomechanics, Research Unit in Sciences of Osteopathy, Faculty of Human Motor Sciences, Université Libre de Bruxelles, Brussels, Belgium
- Laboratory of Electrophysiology, Université de Mons, Mons, Belgium
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