Sensors | Free Full-Text | Aberrated Multidimensional EEG Characteristics in Patients with Generalized Anxiety Disorder: A Machine-Learning Based Analysis Framework
Preserved electrophysiological markers of confidence in schizophrenia spectrum disorder | Schizophrenia
Is EEG a useful test in adult psychiatry? | Tidsskrift for Den norske legeforening
Frontiers | EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies
Frontiers | EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks:A review - ScienceDirect
From mechanisms to markers: novel noninvasive EEG proxy markers of the neural excitation and inhibition system in humans | Translational Psychiatry
JCM | Free Full-Text | Mentally Sick or Not—(Bio)Markers of Psychiatric Disorders Needed
Behavioral Neurology and Neuropsychiatry in Consultation-Liaison Psychiatry | Psychiatric Annals
Sample normal and depressive EEG signals obtained from the Psychiatry... | Download Scientific Diagram
An Update on Biomarkers in Psychiatric Disorders-Are we aware , Do we use in our clinical practice ? | Semantic Scholar
QEEG indices are associated with inflammatory and metabolic risk factors in Parkinson's disease dementia: An observational study - eClinicalMedicine
Is EEG a useful test in adult psychiatry? | Tidsskrift for Den norske legeforening
EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies | Semantic Scholar
Brain Sciences | Free Full-Text | A Depression Prediction Algorithm Based on Spatiotemporal Feature of EEG Signal
EEG Frequency Bands Across Mental Health Disorders - Sapien Labs | Neuroscience | Human Brain Diversity Project
JCM | Free Full-Text | Peripheral Markers of Depression
Overview of current diagnostic, prognostic, and therapeutic use of EEG and EEG-based markers of cognition, mental, and brain health
Frontiers | A scoping review of electroencephalographic (EEG) markers for tracking neurophysiological changes and predicting outcomes in substance use disorder treatment
Frontiers | Identification of Major Psychiatric Disorders From Resting-State Electroencephalography Using a Machine Learning Approach
An electroencephalography connectome predictive model of major depressive disorder severity | Scientific Reports
Can Big Data Help Psychiatry Unravel the Complexity of Mental Illness? - Scientific American
