Effect of Power and Phase Synchronization in Multi-Trial Speech Imagery

Chengaiyan, Sandhya; Balathayil, Divya; Kavitha, A.; Thomas, Christy Bobby

doi:10.4018/ijssci.2018100104

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…Spagna and coworkers (Spagna et al, 2021) discovered that visual mental imagery engages the left fusiform gyrus, and patients with extensive left temporal damage often have this type of imagery impairment. But speech imagery blocks the alpha and theta band in the left hemispheric frontal and temporal regions (Chengaiyan et al, 2018). Hardwick et al (2018) in their meta-analysis of the brain correlates of motor imagery, observation, and execution of movements found that motor imagery and action observation recruited similar premotor-parietal cortical networks.…”

Section: Mental and Motor Imagery In Neurosciencementioning

confidence: 99%

Neural Oscillation During Mental Imagery in Sport: An Olympic Sailor Case Study

Budnik-Przybylska

Kastrau

Jasik

et al. 2021

Front. Hum. Neurosci.

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The purpose of the current study was to examine the cortical correlates of imagery depending on instructional modality (guided vs. self-produced) using various sports-related scripts. According to the expert-performance approach, we took an idiosyncratic perspective analyzing the mental imagery of an experienced two-time Olympic athlete to verify whether different instructional modalities of imagery (i.e., guided vs. self-produced) and different scripts (e.g., training or competition environment) could differently involve brain activity. The subject listened to each previously recorded script taken from two existing questionnaires concerning imagery ability in sport and then was asked to imagine the scene for a minute. During the task, brain waves were monitored using EEG (32-channel g. Nautilus). Our findings indicate that guided imagery might induce higher high alpha and SMR (usually associated with selective attention), whereas self-produced imagery might facilitate higher low alpha (associated with global resting state and relaxation). Results are discussed in light of the neural efficiency hypothesis as a marker of optimal performance and transient hypofrontality as a marker of flow state. Practical mental training recommendations are presented.

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Section: Mental and Motor Imagery In Neurosciencementioning

confidence: 99%

Neural Oscillation During Mental Imagery in Sport: An Olympic Sailor Case Study

Budnik-Przybylska

Kastrau

Jasik

et al. 2021

Front. Hum. Neurosci.

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Quantitative Signatures of Brain Cognition in Young Children Using Task-Based Eeg Signals

Balathay¹,

Sree²,

Kavitha³

2023

J. Mech. Med. Biol.

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Cognition is the practice of processing knowledge through mental processes. Understanding cognitive functions of the brain in young children helps in identifying neurodevelopmental disorders at early stages. Most studies used to diagnose neurodevelopmental disorders are based on behavioral scales. But most children with neurodevelopmental disorders are non-verbal. Thus, the goal of this research is to perform a task-based analysis of cognitive skills in children using electroencephalographic (EEG) signals. Spectral and fractal features of the EEG signals were acquired from pre-primary school children ([Formula: see text]) during arithmetic and path-finding cognitive tasks. The acquired signals were decomposed into various sub-bands. Investigations on the time-domain Higuchi Fractal Dimension (HFD) analysis and frequency domain Power Spectrum Analysis features demonstrated the dominance of the Theta band over the other subbands. The frontal electrode exhibited more workload in the arithmetic task, indicating the involvement of frontal regions and the temporal areas (T8) which were actively involved throughout the path-finding task, showing the activity related to spatial perception and navigation. Thus, the statistical information obtained from the spectral and fractal analyses seems to provide quantitative evidence of the variations in cognitive skills of young children thereby enhancing inferences about neurodevelopmental disorders.

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Inter-Hemispherical Investigations on the Functional Connectivity in Controls and Autism Spectrum Using Resting State fMRI

Vidhusha

Kavitha²

2020

Advances in Computational Intelligence and Robotics

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Autism spectrum disorders are connected with disturbances of neural connectivity. Functional connectivity is typically examined during a cognitive task, but also exists in the absence of a task. While a number of studies have performed functional connectivity analysis to differentiate controls and autism individuals, this work focuses on analyzing the brain activation patterns not only between controls and autistic subjects, but also analyses the brain behaviour present within autism spectrum. This can bring out more intuitive ways to understand that autism individuals differ individually. This has been performed between autism group relative to the control group using inter-hemispherical analysis. Indications of under connectivity were exhibited by the Granger Causality (GC) and Conditional Granger Causality (CGC) in autistic group. Results show that as connectivity decreases, the GC and CGC values also get decreased. Further, to demark the differences present within the spectrum of autistic individuals, GC and CGC values have been calculated.

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Effect of Power and Phase Synchronization in Multi-Trial Speech Imagery

Cited by 3 publications

References 21 publications

Neural Oscillation During Mental Imagery in Sport: An Olympic Sailor Case Study

Neural Oscillation During Mental Imagery in Sport: An Olympic Sailor Case Study

Quantitative Signatures of Brain Cognition in Young Children Using Task-Based Eeg Signals

Inter-Hemispherical Investigations on the Functional Connectivity in Controls and Autism Spectrum Using Resting State fMRI

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