The role of alpha oscillations among the main neuropsychiatric disorders in the adult and develo** human brain: evidence from the last 10 years of research
Alpha oscillations (7–13 Hz) are the dominant rhythm in both the resting and active brain.
Accordingly, translational research has provided evidence for the involvement of aberrant …
Accordingly, translational research has provided evidence for the involvement of aberrant …
Transcranial alternating current stimulation (tACS): from basic mechanisms towards first applications in psychiatry
Transcranial alternating current stimulation (tACS) is a unique form of non-invasive brain
stimulation. Sinusoidal alternating electric currents are delivered to the scalp to affect mostly …
stimulation. Sinusoidal alternating electric currents are delivered to the scalp to affect mostly …
Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography
The understanding and treatment of psychiatric disorders, which are known to be
neurobiologically and clinically heterogeneous, could benefit from the data-driven …
neurobiologically and clinically heterogeneous, could benefit from the data-driven …
A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis
Background Major depressive disorder (MDD) is a prevalent mental illness that is diagnosed
through questionnaire-based approaches; however, these methods may not lead to an …
through questionnaire-based approaches; however, these methods may not lead to an …
Neuronal connectivity in major depressive disorder: a systematic review
Background The causes of major depressive disorder (MDD), as one of the most common
psychiatric disorders, still remain unclear. Neuroimaging has substantially contributed to …
psychiatric disorders, still remain unclear. Neuroimaging has substantially contributed to …
Alterations in EEG functional connectivity in individuals with depression: A systematic review
The brain works as an organised, network-like structure of functionally interconnected
regions. Disruptions to interconnectivity in certain networks have been linked to symptoms of …
regions. Disruptions to interconnectivity in certain networks have been linked to symptoms of …
NeuralTree: A 256-channel 0.227-μJ/class versatile neural activity classification and closed-loop neuromodulation SoC
Closed-loop neural interfaces with on-chip machine learning can detect and suppress
disease symptoms in neurological disorders or restore lost functions in paralyzed patients …
disease symptoms in neurological disorders or restore lost functions in paralyzed patients …
A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD)
Major depressive disorder (MDD), a debilitating mental illness, could cause functional
disabilities and could become a social problem. An accurate and early diagnosis for …
disabilities and could become a social problem. An accurate and early diagnosis for …
EEG based depression recognition using improved graph convolutional neural network
J Zhu, C Jiang, J Chen, X Lin, R Yu, X Li… - Computers in Biology and …, 2022 - Elsevier
Depression is a global psychological disease that does serious harm to people. Traditional
diagnostic method of the doctor-patient communication, is not objective and accurate …
diagnostic method of the doctor-patient communication, is not objective and accurate …
Psilocybin-induced spiritual experiences and insightfulness are associated with synchronization of neuronal oscillations
Rationale During the last years, considerable progress has been made toward
understanding the neuronal basis of consciousness by using sophisticated behavioral tasks …
understanding the neuronal basis of consciousness by using sophisticated behavioral tasks …