Exploring the frontiers of neuroimaging: a review of recent advances in understanding brain functioning and disorders
C Yen, CL Lin, MC Chiang - Life, 2023 - mdpi.com
Neuroimaging has revolutionized our understanding of brain function and has become an
essential tool for researchers studying neurological disorders. Functional magnetic …
essential tool for researchers studying neurological disorders. Functional magnetic …
Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …
crucial issue in neuroscience. The concepts of structural, functional and effective …
Efficient deep neural networks for classification of Alzheimer's disease and mild cognitive impairment from scalp EEG recordings
The early diagnosis of subjects with mild cognitive impairment (MCI) is an effective
appliance of prognosis of Alzheimer's disease (AD). Electroencephalogram (EEG) has many …
appliance of prognosis of Alzheimer's disease (AD). Electroencephalogram (EEG) has many …
[HTML][HTML] Connectomics of human electrophysiology
We present both a scientific overview and conceptual positions concerning the challenges
and assets of electrophysiological measurements in the search for the nature and functions …
and assets of electrophysiological measurements in the search for the nature and functions …
Advances in EEG-based functional connectivity approaches to the study of the central nervous system in health and disease
F Di Gregorio, S Battaglia - Advances in Clinical and Experimental …, 2023 - cris.unibo.it
Functional brain connectivity is closely linked to the complex interactions between brain
networks. In the last two decades, measures of functional connectivity based on …
networks. In the last two decades, measures of functional connectivity based on …
Epileptic seizures detection in EEG signals using fusion handcrafted and deep learning features
Epilepsy is a brain disorder disease that affects people's quality of life.
Electroencephalography (EEG) signals are used to diagnose epileptic seizures. This paper …
Electroencephalography (EEG) signals are used to diagnose epileptic seizures. This paper …
EEG/FNIRS based workload classification using functional brain connectivity and machine learning
There is high demand for techniques to estimate human mental workload during some
activities for productivity enhancement or accident prevention. Most studies focus on a single …
activities for productivity enhancement or accident prevention. Most studies focus on a single …
Assessing electroencephalography as a stress indicator: a VR high-altitude scenario monitored through EEG and ECG
Over the last decade, virtual reality (VR) has become an increasingly accessible commodity.
Head-mounted display (HMD) immersive technologies allow researchers to simulate …
Head-mounted display (HMD) immersive technologies allow researchers to simulate …
[HTML][HTML] The expanding horizons of network neuroscience: From description to prediction and control
The field of network neuroscience has emerged as a natural framework for the study of the
brain and has been increasingly applied across divergent problems in neuroscience. From a …
brain and has been increasingly applied across divergent problems in neuroscience. From a …
[HTML][HTML] Dementia classification using a graph neural network on imaging of effective brain connectivity
Alzheimer's disease (AD) and Parkinson's disease (PD) are two of the most common forms
of neurodegenerative diseases. The literature suggests that effective brain connectivity …
of neurodegenerative diseases. The literature suggests that effective brain connectivity …