Literature DB >> 26582260

Towards Using Microstate-Neurofeedback for the Treatment of Psychotic Symptoms in Schizophrenia. A Feasibility Study in Healthy Participants.

Laura Diaz Hernandez1, Kathryn Rieger2,3, Anja Baenninger2, Daniel Brandeis4,5,6,7, Thomas Koenig2,3.   

Abstract

Spontaneous EEG signal can be parsed into sub-second periods of stable functional states (microstates) that assumingly correspond to brief large scale synchronization events. In schizophrenia, a specific class of microstate (class "D") has been found to be shorter than in healthy controls and to be correlated with positive symptoms. To explore potential new treatment options in schizophrenia, we tested in healthy controls if neurofeedback training to self-regulate microstate D presence is feasible and what learning patterns are observed. Twenty subjects underwent EEG-neurofeedback training to up-regulate microstate D presence. The protocol included 20 training sessions, consisting of baseline trials (resting state), regulation trials with auditory feedback contingent on microstate D presence, and a transfer trial. Response to neurofeedback was assessed with mixed effects modelling. All participants increased the percentage of time spent producing microstate D in at least one of the three conditions (p < 0.05). Significant between-subjects across-sessions results showed an increase of 0.42 % of time spent producing microstate D in baseline (reflecting a sustained change in the resting state), 1.93 % of increase during regulation and 1.83 % during transfer. Within-session analysis (performed in baseline and regulation trials only) showed a significant 1.65 % increase in baseline and 0.53 % increase in regulation. These values are in a range that is expected to have an impact upon psychotic experiences. Additionally, we found a negative correlation between alpha power and microstate D contribution during neurofeedback training. Given that microstate D has been related to attentional processes, this result provides further evidence that the training was to some degree specific for the attentional network. We conclude that microstate-neurofeedback training proved feasible in healthy subjects. The implementation of the same protocol in schizophrenia patients may promote skills useful to reduce positive symptoms by means of EEG-neurofeedback.

Entities:  

Keywords:  EEG; Microstates; Modelling; Neurofeedback; Resting state; Schizophrenia

Mesh:

Year:  2015        PMID: 26582260     DOI: 10.1007/s10548-015-0460-4

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  14 in total

1.  EEG microstates during different phases of Transcendental Meditation practice.

Authors:  Pascal L Faber; Frederick Travis; Patricia Milz; Niyazi Parim
Journal:  Cogn Process       Date:  2017-04-27

2.  Altered Microstate Dynamics and Spatial Complexity in Late-Life Schizophrenia.

Authors:  Gaohong Lin; Zhangying Wu; Ben Chen; Min Zhang; Qiang Wang; Meiling Liu; Si Zhang; Mingfeng Yang; Yuping Ning; Xiaomei Zhong
Journal:  Front Psychiatry       Date:  2022-06-27       Impact factor: 5.435

3.  EEG topographies provide subject-specific correlates of motor control.

Authors:  Elvira Pirondini; Martina Coscia; Jesus Minguillon; José Del R Millán; Dimitri Van De Ville; Silvestro Micera
Journal:  Sci Rep       Date:  2017-10-16       Impact factor: 4.379

4.  Improving Cognitive Workload in Radiation Therapists: A Pilot EEG Neurofeedback Study.

Authors:  Alana M Campbell; Matthew Mattoni; Mae Nicopolis Yefimov; Karthik Adapa; Lukasz M Mazur
Journal:  Front Psychol       Date:  2020-12-03

Review 5.  Brain imaging of locomotion in neurological conditions.

Authors:  Gilles Allali; Helena M Blumen; Hervé Devanne; Elvira Pirondini; Arnaud Delval; Dimitri Van De Ville
Journal:  Neurophysiol Clin       Date:  2018-10-25       Impact factor: 3.734

6.  15 Years of Microstate Research in Schizophrenia - Where Are We? A Meta-Analysis.

Authors:  Kathryn Rieger; Laura Diaz Hernandez; Anja Baenninger; Thomas Koenig
Journal:  Front Psychiatry       Date:  2016-02-26       Impact factor: 4.157

7.  Inefficient Preparatory fMRI-BOLD Network Activations Predict Working Memory Dysfunctions in Patients with Schizophrenia.

Authors:  Anja Baenninger; Laura Diaz Hernandez; Kathryn Rieger; Judith M Ford; Mara Kottlow; Thomas Koenig
Journal:  Front Psychiatry       Date:  2016-03-18       Impact factor: 4.157

8.  Resting-state EEG topographies: Reliable and sensitive signatures of unilateral spatial neglect.

Authors:  Elvira Pirondini; Nurit Goldshuv-Ezra; Nofya Zinger; Juliane Britz; Nachum Soroker; Leon Y Deouell; Dimitri Van De Ville
Journal:  Neuroimage Clin       Date:  2020-03-05       Impact factor: 4.881

9.  Dynamics of brain function in patients with chronic pain assessed by microstate analysis of resting-state electroencephalography.

Authors:  Elisabeth S May; Cristina Gil Ávila; Son Ta Dinh; Henrik Heitmann; Vanessa D Hohn; Moritz M Nickel; Laura Tiemann; Thomas R Tölle; Markus Ploner
Journal:  Pain       Date:  2021-12-01       Impact factor: 6.961

10.  Dual-Threshold-Based Microstate Analysis on Characterizing Temporal Dynamics of Affective Process and Emotion Recognition From EEG Signals.

Authors:  Jing Chen; Haifeng Li; Lin Ma; Hongjian Bo; Frank Soong; Yaohui Shi
Journal:  Front Neurosci       Date:  2021-07-14       Impact factor: 4.677

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