EEG spectral analysis in insomnia disorder: A systematic review and meta-analysis
W Zhao, EJW Van Someren, C Li, X Chen, W Gui… - Sleep medicine …, 2021 - Elsevier
Insomnia disorder (ID) has become the second-most common mental disorder. Despite
burgeoning evidence for increased high-frequency electroencephalography (EEG) activity …
burgeoning evidence for increased high-frequency electroencephalography (EEG) activity …
Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: recommendations of an expert panel
Abstract The Electrophysiology Professional Interest Area (EPIA) and Global Brain
Consortium endorsed recommendations on candidate electroencephalography (EEG) …
Consortium endorsed recommendations on candidate electroencephalography (EEG) …
Methodological considerations for studying neural oscillations
T Donoghue, N Schaworonkow… - European journal of …, 2022 - Wiley Online Library
Neural oscillations are ubiquitous across recording methodologies and species, broadly
associated with cognitive tasks, and amenable to computational modelling that investigates …
associated with cognitive tasks, and amenable to computational modelling that investigates …
Deep learning-based multi-head self-attention model for human epilepsy identification from EEG signal for biomedical traits
The neurological condition epilepsy is demanding and even fatal. Electroencephalogram
(EEG)-based epilepsy detection still faces various difficulties. EEG readings fluctuate, and …
(EEG)-based epilepsy detection still faces various difficulties. EEG readings fluctuate, and …
Neural biomarker diagnosis and prediction to mild cognitive impairment and Alzheimer's disease using EEG technology
Background Electroencephalogram (EEG) has emerged as a non-invasive tool to detect the
aberrant neuronal activity related to different stages of Alzheimer's disease (AD). However …
aberrant neuronal activity related to different stages of Alzheimer's disease (AD). However …
Accuracy of EEG biomarkers in the detection of clinical outcome in disorders of consciousness after severe acquired brain injury: preliminary results of a pilot study …
Accurate outcome detection in neuro-rehabilitative settings is crucial for appropriate long-
term rehabilitative decisions in patients with disorders of consciousness (DoC). EEG …
term rehabilitative decisions in patients with disorders of consciousness (DoC). EEG …
Is EEG suitable for marketing research? A systematic review
Background: In the past decade, marketing studies have greatly benefited from the adoption
of neuroscience techniques to explore conscious and unconscious drivers of consumer …
of neuroscience techniques to explore conscious and unconscious drivers of consumer …
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 …
Reproducibility of EEG functional connectivity in Alzheimer's disease
CT Briels, DN Schoonhoven, CJ Stam… - Alzheimer's research & …, 2020 - Springer
Background Although numerous electroencephalogram (EEG) studies have described
differences in functional connectivity in Alzheimer's disease (AD) compared to healthy …
differences in functional connectivity in Alzheimer's disease (AD) compared to healthy …
EEG-based measures in at-risk mental state and early stages of schizophrenia: a systematic review
A Perrottelli, GM Giordano, F Brando, L Giuliani… - Frontiers in …, 2021 - frontiersin.org
Introduction: Electrophysiological (EEG) abnormalities in subjects with schizophrenia have
been largely reported. In the last decades, research has shifted to the identification of …
been largely reported. In the last decades, research has shifted to the identification of …