Co-Authors
This is a "connection" page, showing publications co-authored by Hazem Refai and Jerzy Bodurka.
Connection Strength
1.254
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Canonical EEG microstates transitions reflect switching among BOLD resting state networks and predict fMRI signal. J Neural Eng. 2022 01 06; 18(6).
Score: 0.202
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Automated pipeline for EEG artifact reduction (APPEAR) recorded during fMRI. J Neural Eng. 2021 07 26; 18(4).
Score: 0.196
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Integration of Simultaneous Resting-State Electroencephalography, Functional Magnetic Resonance Imaging, and Eye-Tracker Methods to Determine and Verify Electroencephalography Vigilance Measure. Brain Connect. 2020 12; 10(10):535-546.
Score: 0.186
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Self-regulation of ventromedial prefrontal cortex activation using real-time fMRI neurofeedback-Influence of default mode network. Hum Brain Mapp. 2020 02 01; 41(2):342-352.
Score: 0.173
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Predicting Age From Brain EEG Signals-A Machine Learning Approach. Front Aging Neurosci. 2018; 10:184.
Score: 0.158
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Real-time EEG artifact correction during fMRI using ICA. J Neurosci Methods. 2016 12 01; 274:27-37.
Score: 0.140
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Subject specific BOLD fMRI respiratory and cardiac response functions obtained from global signal. Neuroimage. 2013 May 15; 72:252-64.
Score: 0.109
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Taking the body off the mind: Decreased functional connectivity between somatomotor and default-mode networks following Floatation-REST. Hum Brain Mapp. 2021 07; 42(10):3216-3227.
Score: 0.048
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EEG Microstates Temporal Dynamics Differentiate Individuals with Mood and Anxiety Disorders From Healthy Subjects. Front Hum Neurosci. 2019; 13:56.
Score: 0.041