Naturalistic stimuli in neuroscience: critically acclaimed
Cognitive neuroscience has traditionally focused on simple tasks, presented sparsely and
using abstract stimuli. While this approach has yielded fundamental insights into functional …
using abstract stimuli. While this approach has yielded fundamental insights into functional …
[HTML][HTML] Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging
Two ongoing movements in human cognitive neuroscience have researchers shifting focus
from group-level inferences to characterizing single subjects, and complementing tightly …
from group-level inferences to characterizing single subjects, and complementing tightly …
[HTML][HTML] Movie-watching outperforms rest for functional connectivity-based prediction of behavior
ES Finn, PA Bandettini - NeuroImage, 2021 - Elsevier
A major goal of human neuroscience is to relate differences in brain function to differences
in behavior across people. Recent work has established that whole-brain functional …
in behavior across people. Recent work has established that whole-brain functional …
High-amplitude cofluctuations in cortical activity drive functional connectivity
Resting-state functional connectivity is used throughout neuroscience to study brain
organization and to generate biomarkers of development, disease, and cognition. The …
organization and to generate biomarkers of development, disease, and cognition. The …
Can brain state be manipulated to emphasize individual differences in functional connectivity?
While neuroimaging studies typically collapse data from many subjects, brain functional
organization varies between individuals, and characterizing this variability is crucial for …
organization varies between individuals, and characterizing this variability is crucial for …
[PDF][PDF] From maps to multi-dimensional network mechanisms of mental disorders
The development of advanced neuroimaging techniques and their deployment in large
cohorts has enabled an assessment of functional and structural brain network architecture at …
cohorts has enabled an assessment of functional and structural brain network architecture at …
[HTML][HTML] Classification of children with autism and typical development using eye-tracking data from face-to-face conversations: Machine learning model development …
Z Zhao, H Tang, X Zhang, X Qu, X Hu, J Lu - Journal of Medical Internet …, 2021 - jmir.org
Background Previous studies have shown promising results in identifying individuals with
autism spectrum disorder (ASD) by applying machine learning (ML) to eye-tracking data …
autism spectrum disorder (ASD) by applying machine learning (ML) to eye-tracking data …
Trait paranoia shapes inter-subject synchrony in brain activity during an ambiguous social narrative
Individuals often interpret the same event in different ways. How do personality traits
modulate brain activity evoked by a complex stimulus? Here we report results from a …
modulate brain activity evoked by a complex stimulus? Here we report results from a …
Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis
Background Understanding the development of the neuronal circuitry underlying autism
spectrum disorder (ASD) is critical to shed light into its etiology and for the development of …
spectrum disorder (ASD) is critical to shed light into its etiology and for the development of …
ASD validity
L Waterhouse, E London, C Gillberg - Review Journal of Autism and …, 2016 - Springer
ASD research is at an important crossroads. The ASD diagnosis is important for assigning a
child to early behavioral intervention and explaining a child's condition. But ASD research …
child to early behavioral intervention and explaining a child's condition. But ASD research …