Does Double Biofeedback Affect Functional Hemispheric Asymmetry and Activity? A Pilot Study

In the current pilot study, we attempt to find out how double neurofeedback influences functional hemispheric asymmetry and activity. We examined 30 healthy participants (8 males; 22 females, mean age = 29; SD = 8). To measure functional hemispheric asymmetry and activity, we used computer laterometry in the ‘two-source’ lead-lag dichotic paradigm. Double biofeedback included 8 min of EEG oscillation recording with five minutes of basic mode. During the basic mode, the current amplitude of the EEG oscillator gets transformed into feedback sounds while the current amplitude of alpha EEG oscillator is used to modulate the intensity of light signals. Double neurofeedback did not directly influence the asymmetry itself but accelerated individual sound perception characteristics during dichotic listening in the preceding effect paradigm. Further research is needed to investigate the effect of double neurofeedback training on functional brain activity and asymmetry, taking into account participants’ age, gender, and motivation.

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The Effect of Double Biofeedback on Functional Hemispheric Asymmetry and Activity: A Pilot Study

10.20944/preprints202104.0011.v1 ◽

2021 ◽

Author(s):

Valeriia Demareva ◽

Elena Mukhina ◽

Tatiana Bobro

Keyword(s):

Pilot Study ◽

Dichotic Listening ◽

Hemispheric Asymmetry ◽

Brain Activity ◽

Current Amplitude ◽

Sound Perception ◽

Basic Mode ◽

Light Signals ◽

Functional Brain Activity ◽

Healthy Participants

In the current pilot study, we attempt to find out how double neurofeedback influences functional hemispheric asymmetry and activity. We examined 30 healthy participants (8 males; 22 females, mean age = 29; SD= 8). To measure functional hemispheric asymmetry and activity, we used computer laterometry in the ‘two-source’ lead-lag dichotic paradigm. Double biofeedback included 8 minutes of EEG oscillation recording with five minutes of basic mode. During the basic mode, the current amplitude of the EEG oscillator gets transformed into feedback sounds while the current amplitude of alpha EEG oscillator is used to modulate the intensity of light signals. Double neurofeedback did not directly influence the asymmetry itself but accelerated individual sound perception characteristics during dichotic listening in the preceding effect paradigm. Further research is needed to investigate the effect of double neurofeedback training on functional brain activity and asymmetry taking into account participants’ age, gender, and motivation.

Download Full-text

The effect of double biofeedback on functional hemispheric asymmetry and activity: a pilot study

10.1101/2021.03.30.437721 ◽

2021 ◽

Author(s):

Valeriia Demareva ◽

Elena Mukhina ◽

Tatiana Bobro

Keyword(s):

Pilot Study ◽

Dichotic Listening ◽

Hemispheric Asymmetry ◽

Brain Activity ◽

Current Amplitude ◽

Sound Perception ◽

Basic Mode ◽

Light Signals ◽

Functional Brain Activity ◽

Healthy Participants

AbstractIn the current pilot study, we attempt to find out how double neurofeedback influences functional hemispheric asymmetry and activity. We examined 30 healthy participants (8 males; 22 females, mean age = 29; SD= 8). To measure functional hemispheric asymmetry and activity, we used computer laterometry in the ‘two-source’ lead-lag dichotic paradigm. Double biofeedback included 8 minutes of EEG oscillation recording with five minutes of basic mode. During the basic mode, the current amplitude of the EEG oscillator gets transformed into feedback sounds while the current amplitude of alpha EEG oscillator is used to modulate the intensity of light signals. Double neurofeedback did not directly influence the asymmetry itself but accelerated individual sound perception characteristics during dichotic listening in the preceding effect paradigm. Further research is needed to investigate the effect of double neurofeedback training on functional brain activity and asymmetry taking into account participants’ age, gender, and motivation.

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A pilot study of changes in functional brain activity during a working memory task after mSMT treatment: The MEMREHAB trial

Multiple Sclerosis and Related Disorders ◽

10.1016/j.msard.2016.03.012 ◽

2016 ◽

Vol 7 ◽

pp. 76-82 ◽

Cited By ~ 8

Author(s):

M. Huiskamp ◽

E. Dobryakova ◽

G.D. Wylie ◽

J. DeLuca ◽

N.D. Chiaravalloti

Keyword(s):

Working Memory ◽

Pilot Study ◽

Brain Activity ◽

Memory Task ◽

Functional Brain ◽

Functional Brain Activity

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A pilot study examining functional brain activity 6 months after memory retraining in MS: the MEMREHAB trial

Brain Imaging and Behavior ◽

10.1007/s11682-014-9309-9 ◽

2014 ◽

Vol 8 (3) ◽

pp. 403-406 ◽

Cited By ~ 28

Author(s):

Ekaterina Dobryakova ◽

Glenn R. Wylie ◽

John DeLuca ◽

Nancy D. Chiaravalloti

Keyword(s):

Pilot Study ◽

Brain Activity ◽

Functional Brain ◽

Functional Brain Activity

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The functional magnetic resonance imaging (fMRI) procedure as experienced by healthy participants and stroke patients – A pilot study

BMC Medical Imaging ◽

10.1186/1471-2342-9-14 ◽

2009 ◽

Vol 9 (1) ◽

Cited By ~ 8

Author(s):

André J Szameitat ◽

Shan Shen ◽

Annette Sterr

Keyword(s):

Magnetic Resonance Imaging ◽

Pilot Study ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

Stroke Patients ◽

Healthy Participants

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Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College Students

10.1101/276568 ◽

2018 ◽

Cited By ~ 1

Author(s):

Jeremy F. Huckins ◽

Alex W. daSilva ◽

Rui Wang ◽

Weichen Wang ◽

Elin L. Hedlund ◽

...

Keyword(s):

Mental Health ◽

Individual Differences ◽

Antidepressant Treatment ◽

Brain Activity ◽

Resting State Functional Connectivity ◽

Neuroscience Research ◽

Affective Processes ◽

Usage Patterns ◽

Mobile Phone Sensing ◽

Functional Brain Activity

AbstractAs smartphone usage has become increasingly prevalent in our society, so have rates of depression, particularly among young adults. Individual differences in smartphone usage patterns have been shown to reflect individual differences in underlying affective processes such as depression (Wang et al., 2018). In the current study, we identified a positive relationship between smartphone screen time (e.g. phone unlock duration) and resting-state functional connectivity (RSFC) between the subgenual cingulate cortex (sgCC), a brain region implicated in depression and antidepressant treatment response, and regions of the ventromedial/orbitofrontal cortex, such that increased phone usage was related to stronger connectivity between these regions. We then used this cluster to constrain subsequent analyses looking at depressive symptoms in the same cohort and observed partial replication in a separate cohort. We believe the data and analyses presented here provide relatively simplistic initial analyses which replicate and provide a first step in combining functional brain activity and smartphone usage patterns to better understand issues related to mental health. Smartphones are a prevalent part of modern life and the usage of mobile sensing data from smartphones promises to be an important tool for mental health diagnostics and neuroscience research.

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Computationally replicating the Smith et al. (2015) positive-negative mode linking functional connectivity and subject measures

10.1101/2020.04.23.058313 ◽

2020 ◽

Author(s):

Nikhil Goyal ◽

Dustin Moraczewski ◽

Peter Bandettini ◽

Emily S. Finn ◽

Adam Thomas

Keyword(s):

Brain Activity ◽

Strong Positive Correlation ◽

Activity Data ◽

Functional Brain ◽

Human Connectome Project ◽

Using Data ◽

Functional Brain Activity ◽

Relationship Of ◽

The Relationship ◽

Landmark Study

AbstractUnderstanding brain functionality and predicting human behavior based on functional brain activity is a major goal of neuroscience. Numerous studies have been conducted to investigate the relationship between functional brain activity and attention, subject characteristics, autism, psychiatric disorders, and more. By modeling brain activity data as networks, researchers can leverage the mathematical tools of graph and network theory to probe these relationships. In their landmark study, Smith et al. (2015) analyzed the relationship of young adult connectomes and subject measures, using data from the Human Connectome Project (HCP). Using canonical correlation analysis (CCA), Smith et al. found that there was a single prominent CCA mode which explained a statistically significant percentage of the observed variance in connectomes and subject measures. They also found a strong positive correlation of 0.87 between the primary CCA mode connectome and subject measure weights. In this study, we computationally replicate the findings of the original study in both the HCP 500 and HCP 1200 subject releases. The exact computational replication in the HCP 500 dataset was a success, validating our analysis pipeline for extension studies. The extended replication in the larger HCP 1200 dataset was partially successful and demonstrated a dominant primary mode.

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Functional neuroimaging studies of the effects of psychotherapy

Dialogues in Clinical Neuroscience ◽

10.31887/dcns.2014.16.1/mbeauregard ◽

2014 ◽

Vol 16 (1) ◽

pp. 75-81 ◽

Cited By ~ 7

Keyword(s):

Functional Neuroimaging ◽

Brain Activity ◽

Behavioral Changes ◽

Neural Mechanisms ◽

Psychological Interventions ◽

Emotional States ◽

Major Depressive ◽

Psychotherapeutic Interventions ◽

Functional Brain Activity ◽

Neuroimaging Techniques

It has been long established that psychological interventions can markedly alter patients' thinking patterns, beliefs, attitudes, emotional states, and behaviors. Little was known about the neural mechanisms mediating such alterations before the advent of functional neuroimaging techniques. Since the turn of the new millenium, several functional neuroimaging studies have been conducted to tackle this important issue. Some of these studies have explored the neural impact of various forms of psychotherapy in individuals with major depressive disorder. Other neuroimaging studies have investigated the effects of psychological interventions for anxiety disorders. I review these studies in the present article, and discuss the putative neural mechanisms of change in psychotherapy. The findings of these studies suggest that mental and behavioral changes occurring during psychotherapeutic interventions can lead to a normalization of functional brain activity at a global level.

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