Automagic: Standardized preprocessing of big EEG data
Electroencephalography (EEG) recordings have been rarely included in large-scale studies.
This is arguably not due to a lack of information that lies in EEG recordings but mainly on …
This is arguably not due to a lack of information that lies in EEG recordings but mainly on …
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review
Mental disorders represent critical public health challenges as they are leading contributors
to the global burden of disease and intensely influence social and financial welfare of …
to the global burden of disease and intensely influence social and financial welfare of …
Brain structural and functional connectivity: a review of combined works of diffusion magnetic resonance imaging and electro-encephalography
P Babaeeghazvini, LM Rueda-Delgado… - Frontiers in Human …, 2021 - frontiersin.org
Implications of structural connections within and between brain regions for their functional
counterpart are timely points of discussion. White matter microstructural organization and …
counterpart are timely points of discussion. White matter microstructural organization and …
[HTML][HTML] Movies in the magnet: Naturalistic paradigms in developmental functional neuroimaging
T Vanderwal, J Eilbott, FX Castellanos - Developmental cognitive …, 2019 - Elsevier
The use of movie-watching as an acquisition state for functional connectivity (FC) MRI has
recently enabled multiple groups to obtain rich data sets in younger children with both …
recently enabled multiple groups to obtain rich data sets in younger children with both …
[HTML][HTML] Somatosensory-motor dysconnectivity spans multiple transdiagnostic dimensions of psychopathology
Background There is considerable interest in a dimensional transdiagnostic approach to
psychiatry. Most transdiagnostic studies have derived factors based only on clinical …
psychiatry. Most transdiagnostic studies have derived factors based only on clinical …
Data leakage inflates prediction performance in connectome-based machine learning models
Predictive modeling is a central technique in neuroimaging to identify brain-behavior
relationships and test their generalizability to unseen data. However, data leakage …
relationships and test their generalizability to unseen data. However, data leakage …
Development of three web-based computerized versions of the kiddie schedule for affective disorders and schizophrenia child psychiatric diagnostic interview …
L Townsend, K Kobak, C Kearney, M Milham… - Journal of the American …, 2020 - Elsevier
Objective To present initial validity data on three web-based computerized versions of the
Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-COMP). Method The …
Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-COMP). Method The …
Large-scale encoding of emotion concepts becomes increasingly similar between individuals from childhood to adolescence
Humans require a shared conceptualization of others' emotions for adaptive social
functioning. A concept is a mental blueprint that gives our brains parameters for predicting …
functioning. A concept is a mental blueprint that gives our brains parameters for predicting …
Toward neurosubtypes in autism
There is a consensus that substantial heterogeneity underlies the neurobiology of autism
spectrum disorder (ASD). As such, it has become increasingly clear that a dissection of …
spectrum disorder (ASD). As such, it has become increasingly clear that a dissection of …
Prediction complements explanation in understanding the developing brain
A central aim of human neuroscience is understanding the neurobiology of cognition and
behavior. Although we have made significant progress towards this goal, reliance on group …
behavior. Although we have made significant progress towards this goal, reliance on group …