Search Results - "Rogala, Jacek"
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Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance
Published in Scientific reports (19-03-2020)“…Mounting evidence indicates that resting-state EEG activity is related to various cognitive functions. To trace physiological underpinnings of this…”
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EEG synchronization patterns during a Go/No-Go task in individuals with aphasia in subacute and chronic phases of stroke
Published in Scientific reports (10-10-2024)“…Stroke and subsequent neuroregenerative processes cause changes in neural organization of attentional functions. In this study, we attempted to identify…”
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Leveraging Multiple Distinct EEG Training Sessions for Improvement of Spectral-Based Biometric Verification Results
Published in Sensors (Basel, Switzerland) (11-02-2023)“…Most studies on EEG-based biometry recognition report results based on signal databases, with a limited number of recorded EEG sessions using the same single…”
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Performance of game sessions in VR vs standard 2D monitor environment. an EEG study
Published in Frontiers in physiology (22-10-2024)“…Nowadays studies using Virtual Reality (VR) are gaining high popularity due to VR being a better approximation of the ecological environment for visual…”
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The Do's and Don'ts of Neurofeedback Training: A Review of the Controlled Studies Using Healthy Adults
Published in Frontiers in human neuroscience (17-06-2016)“…The goal of EEG neurofeedback (EEG-NFB) training is to induce changes in the power of targeted EEG bands to produce beneficial changes in cognitive or motor…”
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Impact of EEG Frequency Bands and Data Separation on the Performance of Person Verification Employing Neural Networks
Published in Sensors (Basel, Switzerland) (25-07-2022)“…The paper is devoted to the study of EEG-based people verification. Analyzed solutions employed shallow artificial neural networks using spectral EEG features…”
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Enhancing autism spectrum disorder classification in children through the integration of traditional statistics and classical machine learning techniques in EEG analysis
Published in Scientific reports (08-12-2023)“…Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder hallmarked by challenges in social communication, limited interests, and repetitive,…”
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Stronger connectivity and higher extraversion protect against stress-related deterioration of cognitive functions
Published in Scientific reports (31-08-2021)“…Here we attempted to define the relationship between: EEG activity, personality and coping during lockdown. We were in a unique situation since the COVID-19…”
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Multivariate multiscale entropy (mMSE) as a tool for understanding the resting-state EEG signal dynamics: the spatial distribution and sex/gender-related differences
Published in Behavioral and brain functions (05-10-2023)“…BackgroundThe study aimed to determine how the resting-state EEG (rsEEG) complexity changes both over time and space (channels). The complexity of rsEEG and…”
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Local variation in brain temperature explains gender-specificity of working memory performance
Published in Frontiers in human neuroscience (26-07-2024)“…Exploring gender differences in cognitive abilities offers vital insights into human brain functioning. Our study utilized advanced techniques like magnetic…”
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EEG-neurofeedback training of beta band (12–22Hz) affects alpha and beta frequencies – A controlled study of a healthy population
Published in Neuropsychologia (08-01-2018)“…The frequency-function relation of various EEG bands has inspired EEG-neurofeedback procedures intending to improve cognitive abilities in numerous clinical…”
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MR THERMOMETRY OF THE BRAIN: ANALYSIS OF WATER SUPPRESSION IN SINGLE VOXEL SPECTROSCOPY
Published in Acta neurobiologiae experimentalis (01-01-2022)“…In a typical PRESS (Point RESolved Spectroscopy) sequence the water signal is suppressed to allow for metabolite peak quantification. On the other hand, water…”
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A hidden message: Decoding artistic intent
Published in PsyCh journal (01-08-2020)“…Understanding how art makes impressions upon the perceiver has been a fundamental topic of philosophical interest since the time of ancient Greece. However,…”
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Beware: Recruitment of Muscle Activity by the EEG-Neurofeedback Trainings of High Frequencies
Published in Frontiers in human neuroscience (20-03-2017)“…EEG-neurofeedback (NFB) became a very popular method aimed at improving cognitive and behavioral performance. However, the EMG frequency spectrum overlies the…”
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Effect of cortex inactivation on spontaneous activity of cells in perigeniculate and dorsal lateral geniculate nuclei
Published in BMC neuroscience (08-07-2013)“…Doc number: P418…”
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Reciprocal inhibition and slow calcium decay in perigeniculate interneurons explain changes of spontaneous firing of thalamic cells caused by cortical inactivation
Published in Frontiers in neuroinformatics (2014)“…Abstract only…”
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Cortical modulation of neuronal activity in the cat's lateral geniculate and perigeniculate nuclei: a modeling study
Published in BMC neuroscience (18-07-2011)Get full text
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Influence of Feature Scaling and Number of Training Sessions on EEG Spectral-based Person Verification with Artificial Neural Networks
Published in 2023 Signal Processing Symposium (SPSympo) (26-09-2023)“…Research on using EEG as a biometric began over 20 years ago. However, compared to more traditional modalities like fingerprints, EEG is still relatively…”
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Conference Proceeding -
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Reciprocal inhibition and slow calcium decay in perigeniculate interneurons explain changes of spontaneous firing of thalamic cells caused by cortical inactivation
Published in Journal of computational neuroscience (01-06-2013)“…The role of cortical feedback in the thalamocortical processing loop has been extensively investigated over the last decades. With an exception of several…”
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Experimental studies on the efficiency of people authentication using EEG data from the same and different examinations
Published in 2021 Signal Processing Symposium (SPSympo) (20-09-2021)“…The paper presents the results of preliminary studies on the authentication of human subjects using electroencephalography (EEG) signals. Many research results…”
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Conference Proceeding