[HTML][HTML] Mind over matter: the microbial mindscapes of psychedelics and the gut-brain axis
G Caspani, SGD Ruffell, WF Tsang, N Netzband… - Pharmacological …, 2024 - Elsevier
Psychedelics have emerged as promising therapeutics for several psychiatric disorders.
Hypotheses around their mechanisms have revolved around their partial agonism at the …
Hypotheses around their mechanisms have revolved around their partial agonism at the …
Rumination as a Transdiagnostic phenomenon in the 21st century: the flow model of rumination
Rumination and its related mental phenomena share associated impairments in cognition,
such as executive functions and attentional processes across different clinical conditions …
such as executive functions and attentional processes across different clinical conditions …
Spatial–temporal graph convolutional network for Alzheimer classification based on brain functional connectivity imaging of electroencephalogram
Functional connectivity of the human brain, representing statistical dependence of
information flow between cortical regions, significantly contributes to the study of the intrinsic …
information flow between cortical regions, significantly contributes to the study of the intrinsic …
Aberrated multidimensional EEG characteristics in patients with generalized anxiety disorder: a machine-learning based analysis framework
Although increasing evidences support the notion that psychiatric disorders are associated
with abnormal communication between brain regions, scattered studies have investigated …
with abnormal communication between brain regions, scattered studies have investigated …
A novel method for efficient estimation of brain effective connectivity in EEG
Abstract Background and Objective: Brain connectivity plays a pivotal role in understanding
the brain's information processing functions by providing various details including …
the brain's information processing functions by providing various details including …
Improving EEG-based driver distraction classification using brain connectivity estimators
This paper discusses a novel approach to an EEG (electroencephalogram)-based driver
distraction classification by using brain connectivity estimators as features. Ten healthy …
distraction classification by using brain connectivity estimators as features. Ten healthy …
Complexity analysis of EEG in patients with social anxiety disorder using fuzzy entropy and machine learning techniques
The diagnosis of social anxiety disorder (SAD) is of great consequence not only due to its
impacts on the individual and society but also the expenditures to the national health …
impacts on the individual and society but also the expenditures to the national health …
Severity assessment of social anxiety disorder using deep learning models on brain effective connectivity
Neuroimaging investigations have proven that social anxiety disorder (SAD) is associated
with aberrations in the connectivity of human brain functions. The assessment of the effective …
with aberrations in the connectivity of human brain functions. The assessment of the effective …
Utility of cognitive neural features for predicting mental health behaviors
Cognitive dysfunction underlies common mental health behavioral symptoms including
depression, anxiety, inattention, and hyperactivity. In this study of 97 healthy adults, we …
depression, anxiety, inattention, and hyperactivity. In this study of 97 healthy adults, we …
[HTML][HTML] Variation in functional networks between clinical and subclinical discharges in childhood absence epilepsy: A multi-frequency MEG study
F Sun, Y Wang, Y Li, Y Li, S Wang, F Xu… - … : European Journal of …, 2023 - Elsevier
Objective Two types of spike-and-wave discharges (SWDs) exist in childhood absence
epilepsy (CAE): clinical discharges are prolonged and manifest primarily as impaired …
epilepsy (CAE): clinical discharges are prolonged and manifest primarily as impaired …