Brain entropy, fractal dimensions and predictability: A review of complexity measures for EEG in healthy and neuropsychiatric populations
There has been an increasing trend towards the use of complexity analysis in quantifying
neural activity measured by electroencephalography (EEG) signals. On top of revealing …
neural activity measured by electroencephalography (EEG) signals. On top of revealing …
SPWVD-CNN for automated detection of schizophrenia patients using EEG signals
Schizophrenia (SZ) is a psychiatric disorder characterized by cognitive dysfunctions,
hallucinations, and delusions, which may lead to lifetime disability. Detection and diagnosis …
hallucinations, and delusions, which may lead to lifetime disability. Detection and diagnosis …
Overcoming rest–task divide—abnormal temporospatial dynamics and its cognition in schizophrenia
G Northoff, J Gomez-Pilar - Schizophrenia bulletin, 2021 - academic.oup.com
Schizophrenia is a complex psychiatric disorder exhibiting alterations in spontaneous and
task-related cerebral activity whose relation (termed “state dependence”) remains unclear …
task-related cerebral activity whose relation (termed “state dependence”) remains unclear …
A hybrid decision support system for automatic detection of Schizophrenia using EEG signals
Background Schizophrenia (SCZ) is a serious neurological condition in which people suffer
with distorted perception of reality. SCZ may result in a combination of delusions …
with distorted perception of reality. SCZ may result in a combination of delusions …
Automated Schizophrenia detection using local descriptors with EEG signals
Schizophrenia (SZ) is a severe mental disorder characterized by behavioral imbalance and
impaired cognitive ability. This paper proposes a local descriptors-based automated …
impaired cognitive ability. This paper proposes a local descriptors-based automated …
Classification of schizophrenia patients through empirical wavelet transformation using electroencephalogram signals
In this chapter, empirical wavelet transformation is used to decompose the highly
nonstationary electroencephalogram signals into modes in a Fourier spectrum. Linear and …
nonstationary electroencephalogram signals into modes in a Fourier spectrum. Linear and …
From temporal to spatial topography: hierarchy of neural dynamics in higher-and lower-order networks shapes their complexity
The brain shows a topographical hierarchy along the lines of lower-and higher-order
networks. The exact temporal dynamics characterization of this lower-higher-order …
networks. The exact temporal dynamics characterization of this lower-higher-order …
Auditory inputs modulate intrinsic neuronal timescales during sleep
Functional magnetic resonance imaging (fMRI) studies have demonstrated that intrinsic
neuronal timescales (INT) undergo modulation by external stimulation during …
neuronal timescales (INT) undergo modulation by external stimulation during …
Analysis of EEG entropy during visual evocation of emotion in schizophrenia
Background In this study, the international affective picture system was used to evoke
emotion, and then the corresponding signals were collected. The features from different …
emotion, and then the corresponding signals were collected. The features from different …
Auditory P3a and P3b neural generators in schizophrenia: An adaptive sLORETA P300 localization approach
A Bachiller, S Romero, V Molina, JF Alonso… - Schizophrenia …, 2015 - Elsevier
The present study investigates the neural substrates underlying cognitive processing in
schizophrenia (Sz) patients. To this end, an auditory 3-stimulus oddball paradigm was used …
schizophrenia (Sz) patients. To this end, an auditory 3-stimulus oddball paradigm was used …