Methods Participants: 62 healthy adults (age 20-35 y) - Sham group (virtual reality, random feedback, N = 22) - 2D group (computer monitor viewing, N = 19) - VR group (virtual reality, N = 21) * Pre-test calibration of a subject-specific feedback based on the coherence measures in relation to increased attention Resting-state EEG analysis: 6 resting-state microstates: - overall microstates (0.5-40 Hz), - alpha band microstates (8-12 Hz), - beta band microstates (13-30 Hz). Connectivity in different frequency bands: - theta (4-7 Hz), - alpha (8-12 Hz), - beta-1 (13-20 Hz), - beta-2 (21-30 Hz), - gamma (31-40 Hz). Comparison of microstate features between groups and EEG sessions Correlation analysis [2]: - correlations of dfferences (EEG after NF minus EEG before NF) of various microstates parameters and differences in connectivity measures in various frequency bands. Game-based neurofeedback training effects on EEG brain connectivity and strength of resting-state microstates Ingrida Antonova * 1 , Marek Waligora 1 , Urszula Malinowska 1 , Jacek Rogala 1, 2 1 Nencki Institute of Experimental Biology, Warsaw, Poland 2 Bioimaging Research Center, World Hearing Center of Institute of Physiology and Pathology of Hearing, Kajetany, Poland * Corresponding author: [email protected] Topographies of 6 resting-state microstates: Differences between groups and EEG sessions: A significant reduction of the mean global field power (GFP) after NF training compared to the EEG session before NF training: - in overall microstates, VR and 2D groups; - in beta band microstates, VR and 2D groups. Introduction Neurofeedback (NF) can be applied to enhance cognitive abilities [1]. Hovewer, the need for the development of more effective NF technique should not be ignored. Personalized training on the EEG coherence (in relation to increased attention) together with virtual reality (VR) may increase effectiveness of NF training. Conclusions Game-based NF training reduces GFP of microstates especially in VR, and disrupts GFP and connectivity relation especially in 2D group. Disrupted global connectivity measures may indicate local signal processing dedicated to the specific task at hand. Acknowledgments: Funded by National Centre for Research and Development grant POIR 01.01.01-00-178/15 and EEGDigi Track Biofeedback AI - innovative aparatus for personalized neurotherapy from European Regional Development Fund under: Priority Axis I "The use of research and development activities in the economy" of the Regional Operational Program of the Masovian Voivodeship for 2014-2020 References: [1] Loriette C, Ziane C, Hamed S B (2021). Revue Neurologique (In Press) [2] Schiller B, Gianotti LR, Baumgartner T, Nash K, Koenig T, Knoch D (2016). Proc Natl Acad Sci USA 113 (10): 2786-2791 Results Correlation analysis results: Negative corelation between differences of GFP (D-GFP) and connectivity in various frequency bands (D-band) in Sham group. This pattern was reduced in VR group and was not preserved in 2D group. * trend *p < 0.05 **p < 0.01 ***p < 0.001

Game-based neurofeedback training effects on EEG brain

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Page 1: Game-based neurofeedback training effects on EEG brain

MethodsParticipants: 62 healthy adults (age 20-35 y)

- Sham group (virtual reality, random feedback, N = 22)- 2D group (computer monitor viewing, N = 19)- VR group (virtual reality, N = 21)

* Pre-test calibration of a subject-specific feedback based on the coherence measures in relation to increased attention

Resting-state EEG analysis:6 resting-state microstates:

- overall microstates (0.5-40 Hz), - alpha band microstates (8-12 Hz), - beta band microstates (13-30 Hz).

Connectivity in different frequency bands: - theta (4-7 Hz), - alpha (8-12 Hz), - beta-1 (13-20 Hz), - beta-2 (21-30 Hz), - gamma (31-40 Hz).

Comparison of microstate features between groups and EEG sessionsCorrelation analysis [2]:

- correlations of dfferences (EEG after NF minus EEG before NF) of various microstates parameters and differences in connectivity measures in various frequency bands.

Game-based neurofeedback training effects on EEG brain connectivity and strength of resting-state microstates

Ingrida Antonova * 1, Marek Waligora 1, Urszula Malinowska 1, Jacek Rogala 1, 2

1 Nencki Institute of Experimental Biology, Warsaw, Poland2 Bioimaging Research Center, World Hearing Center of Institute of Physiology and Pathology of Hearing, Kajetany, Poland

* Corresponding author: [email protected]

Topographies of 6 resting-state microstates:

Differences between groups and EEG sessions: A significant reduction of the mean global field power (GFP) after NF training compared to the EEG session before NF training:

- in overall microstates, VR and 2D groups;- in beta band microstates, VR and 2D groups.

IntroductionNeurofeedback (NF) can be applied to enhance cognitive abilities [1]. Hovewer, the need for the development of more effective NF technique should not be ignored. Personalized training on the EEG coherence (in relation to increased attention) together with virtual reality (VR) may increase effectiveness of NF training.

ConclusionsGame-based NF training reduces GFP of microstates especially in VR, and disrupts GFP and connectivity relation especially in 2D group. Disrupted global connectivity measures may indicate local signal processing dedicated to the specific task at hand.

Acknowledgments: Funded by National Centre for Research and Development grant POIR 01.01.01-00-178/15 and EEGDigi Track Biofeedback AI - innovative aparatus for personalized neurotherapy from European Regional Development Fund under: Priority Axis I "The use of research and development activities in the economy" of the Regional Operational Program of the Masovian Voivodeship for 2014-2020

References:[1] Loriette C, Ziane C, Hamed S B (2021). Revue Neurologique (In Press)[2] Schiller B, Gianotti LR, Baumgartner T, Nash K, Koenig T, Knoch D (2016). Proc Natl Acad Sci USA 113 (10): 2786-2791

ResultsCorrelation analysis results:Negative corelation between differences of GFP (D-GFP) and connectivity in various frequency bands (D-band) in Sham group. This pattern was reduced in VR group and was not preserved in 2D group.

* trend *p < 0.05 **p < 0.01 ***p < 0.001