Mindfulness meditation and real-time brain activity in schizophrenia (MARBAIS)
Mindfulness meditation and real-time brain activity in schizophrenia (MARBAIS)
批准号:
9226340
负责人:
Remko van Lutterveld
金额:
$8.38万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-04-20 至 2019-03-31
关键词:
AttentionAwarenessBrainBrain regionClinicalClinical TrialsCognitionElectroencephalographyFeedbackFunctional Magnetic Resonance ImagingHospitalizationImpaired cognitionIndividualInstructionInterventionLearningLinkMeditationMental disordersMeta-AnalysisNeurobiologyPatientsPerformancePositioning AttributePsyche structureRandomized Clinical TrialsRandomized Controlled TrialsSchizophreniaSignal TransductionStudentsSymptomsTestingTimeTrainingVolitionWorkbasecingulate cortexexperienceimprovedmindfulnessmindfulness meditationneurofeedbacksymptomatologyteacher
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Abstract
Mindfulness meditation and Real-time Brain Activity in Schizophrenia (MARBAIS).
Recent work suggests that mindfulness training is effective to treat schizophrenia. In mindfulness training,
meditation takes a central position. However, learning to meditate is not straightforward as no immediate
feedback to students is possible as there are no easily discernible outward signs of performance. In addition, a
teacher's feedback may inadvertently be confounded, due to e.g. the ability of a student to describe internal
states, the teacher's ability to interpret the students' verbal descriptions, or the student's interpretation of the
teacher's instructions. A possible solution to this issue would be to provide neurofeedback during meditation,
so individuals have an unbiased “mental mirror” which directly informs them on their meditation quality in
real time in an unbiased way. In a proof-of-concept study, we showed that EEG neurofeedback from the
posterior cingulate cortex (PCC) tracks mindfulness meditation quality in healthy novice meditators. However,
as patients with schizophrenia suffer from a broad range of symptoms, including cognitive impairment and
reduced attentive capabilities, it is currently unclear whether PCC activity and meditation quality are associated
in schizophrenia. In the proposed study, Aim 1 will determine whether EEG neurofeedback from the PCC
tracks the subjective experience of mindfulness meditation in schizophrenia. To achieve this, 20 patients
with schizophrenia will perform a neurofeedback test-battery while performing mindfulness meditation. Aim 2
will determine whether patients with schizophrenia can volitionally modulate EEG neurofeedback from
the PCC using mindfulness meditation. In addition, exploratory aim 3 will investigate whether there is an
association between the ability to volitionally modulate neurofeedback from the PCC and schizophrenia-
related symptomatology. This would be the first study to assess the association between a neurofeedback
signal and meditation quality in schizophrenia. If we find that PCC activity tracks with meditation quality and
patients are able to volitionally modulate activity by meditating, it would provide the rationale to investigate the
efficacy of this non-pharmacological intervention in a randomized clinical trial.
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