Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Phoebe S.-H. Neo"'
Publikováno v:
Personality Neuroscience, Vol 7 (2024)
Dimensional psychopathology scores measure symptom severity; cutting across disorder categories. Their clinical utility is high given comorbidity, but their neural basis is unclear. We used scalp electroencephalography (EEG) to concurrently assess ne
Externí odkaz:
https://doaj.org/article/d34a2cf5ffb9489793be028ede1e66ac
Publikováno v:
Personality Neuroscience, Vol 7 (2024)
Psychiatric illnesses form spectra rather than categories, with symptoms varying continuously across individuals, i.e., there is no clear break between health and disorder. Dimensional measures of behaviour and brain activity are promising targets fo
Externí odkaz:
https://doaj.org/article/90397270268040d2a96e9e81fdbb8c2f
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Economic decision biases can reflect emotion and emotion dysfunction. Economic paradigms thus provide a solid framework for analysis of brain processes related to emotion and its disorders. Importantly for economic decisions, goal-conflict activates
Externí odkaz:
https://doaj.org/article/dc9c368280934ce4b47086f1b6caa98d
Publikováno v:
Health Inf Sci Syst
Brain–computer interfaces (BCIs) target specific brain activity for neuropsychological rehabilitation, and also allow patients with motor disabilities to control mobility and communication devices. Motor imagery of single-handed actions is used in
Publikováno v:
Personality Neuroscience
Like socio-economic status and cognitive abilities, personality traits predict important life outcomes. Traits that reflect unusually low or high approach motivations, such as low extraversion and high disinhibition, are linked to various forms of me
Publikováno v:
IJCNN
Purpose: This study aims to identify EEG biomarkers that predict the level of depressive personality (where extreme scores indicate disorder), as opposed to the presence or absence of a depressive state or a depression diagnosis.Methods: Fourier feat
EEG signals are often contaminated with artefacts, particularly with mains power from electrical equipment. Low-pass filtering and notch filtering can lose valuable data. Here we describe a novel mains power noise removal method based on the fact tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::559e9e7fca17a0f1b1e1475c1bd7722e
Publikováno v:
IJCNN
In this paper, we propose and implement an EEG-based three-dimensional Convolutional Neural Network architecture, ‘AnxietyDecoder’, to predict anxious personality and decode its potential biomarkers from the participants. Since Goal-Conflict-Spec
Publikováno v:
IJCNN
In this paper, an emotional EEG-specific threedimensional Convolutional Neural Network, EmotioNet, is proposed and implemented to accurately recognize emotion states. For the first time, raw data in the benchmark emotional EEG database, i.e., DEAP, a
Publikováno v:
Journal of affective disorders. 148(1)
Background Syndromes of fear/anxiety are currently ill-defined, with no accepted human biomarkers for anxiety-specific processes. A unique common neural action of different classes of anxiolytic drugs may provide such a biomarker. In rodents, a reduc