[HTML][HTML] EEG frequency bands in psychiatric disorders: a review of resting state studies

JJ Newson, TC Thiagarajan - Frontiers in human neuroscience, 2019 - frontiersin.org
A significant proportion of the electroencephalography (EEG) literature focuses on
differences in historically pre-defined frequency bands in the power spectrum that are …

TMS-EEG: An emerging tool to study the neurophysiologic biomarkers of psychiatric disorders

KX Cao, ML Ma, CZ Wang, J Iqbal, JJ Si, YX Xue… - …, 2021 - Elsevier
The etiology of psychiatric disorders remains largely unknown. The exploration of the
neurobiological mechanisms of mental illness helps improve diagnostic efficacy and …

Impact of the reference choice on scalp EEG connectivity estimation

F Chella, V Pizzella, F Zappasodi… - Journal of neural …, 2016 - iopscience.iop.org
Objective. Several scalp EEG functional connectivity studies, mostly clinical, seem to
overlook the reference electrode impact. The subsequent interpretation of brain connectivity …

[HTML][HTML] The neural correlates of the unified percept of alcohol-related craving: a fMRI and EEG study

Y Huang, A Mohan, D De Ridder, S Sunaert… - Scientific Reports, 2018 - nature.com
Alcohol addiction is accompanied by aberrant neural activity. Previously, task-based fMRI
and resting-state EEG studies have revealed that craving, a critical component of addiction …

An EEG-based machine learning method to screen alcohol use disorder

W Mumtaz, PL Vuong, L Xia, AS Malik… - Cognitive …, 2017 - Springer
Screening alcohol use disorder (AUD) patients has been challenging due to the subjectivity
involved in the process. Hence, robust and objective methods are needed to automate the …

An EEG-based functional connectivity measure for automatic detection of alcohol use disorder

W Mumtaz, N Kamel, SSA Ali, AS Malik - Artificial intelligence in medicine, 2018 - Elsevier
Background The abnormal alcohol consumption could cause toxicity and could alter the
human brain's structure and function, termed as alcohol used disorder (AUD). Unfortunately …

Effective connectivity in default mode network for alcoholism diagnosis

DM Khan, N Yahya, N Kamel… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Alcohol Use Disorder (AUD) is a chronic relapsing brain disease characterized by excessive
alcohol use, loss of control over alcohol intake, and negative emotional states under no …

[HTML][HTML] Random forest classification of alcohol use disorder using fMRI functional connectivity, neuropsychological functioning, and impulsivity measures

C Kamarajan, BA Ardekani, AK Pandey, S Kinreich… - Brain sciences, 2020 - mdpi.com
Individuals with alcohol use disorder (AUD) are known to manifest a variety of
neurocognitive impairments that can be attributed to alterations in specific brain networks …

Computer-aided classifying and characterizing of methamphetamine use disorder using resting-state EEG

H Khajehpour, F Mohagheghian, H Ekhtiari… - Cognitive …, 2019 - Springer
Methamphetamine (meth) is potently addictive and is closely linked to high crime rates in the
world. Since meth withdrawal is very painful and difficult, most abusers relapse to abuse in …

[HTML][HTML] Neuropsychophysiological measures of alcohol dependence: can we use EEG in the clinical assessment?

R Jurado-Barba, A Sion, A Martínez-Maldonado… - Frontiers in …, 2020 - frontiersin.org
Addiction management is complex, and it requires a bio-psycho-social perspective, that
ought to consider the multiple etiological and developmental factors. Because of this, a large …