Results 71 to 80 of about 60,492 (243)
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
Dynamic effective connectivity in resting state fMRI
Context-sensitive and activity-dependent fluctuations in connectivity underlie functional integration in the brain and have been studied widely in terms of synaptic plasticity, learning and condition-specific (e.g., attentional) modulations of synaptic efficacy.
Hae-Jeong Park +4 more
openaire +4 more sources
On the generalizability of resting-state fMRI machine learning classifiers [PDF]
Machine learning classifiers have become increasingly popular tools to generate single-subject inferences from fMRI data. With this transition from the traditional group level difference investigations to single-subject inference, the application of machine learning methods can be seen as a considerable step forward.
Wolfgang eHuf +15 more
openaire +3 more sources
Frontal lobe traumatic brain injury is associated with hyperactivity of an insular–orbitofrontal circuit in both patients and mice. By combination of integrating functional imaging, cell‐type–specific circuit manipulation, single‐cell transcriptomics, and whole‐cell recordings, this work identifies the downregulation of the potassium channel KCNC3 in ...
Meng‐Ge Li +10 more
wiley +1 more source
Functional Brain Asymmetry Reveals Heterogeneous Subtypes in Autism Spectrum Disorder
ABSTRACT Heterogeneity is a critical factor in understanding inter‐individual brain and behavioral variability in autism spectrum disorder (ASD). Since individuals with ASD exhibit atypical communication and social interaction skills closely linked to brain lateralization, this study investigated ASD heterogeneity using an asymmetry index that captures
Chae Yeon Kim +2 more
wiley +1 more source
Correspondence Between Resting-State and Episodic Memory-Task Related Networks in Elderly Subjects
Resting-state fMRI studies demonstrated temporally synchronous fluctuations in brain activity among ensembles of brain regions, suggesting the existence of intrinsic functional networks.
Lee Simon-Vermot +11 more
doaj +1 more source
Sparse Dictionary Learning of Resting State fMRI Networks [PDF]
Research in resting state fMRI (rsfMRI) has revealed the presence of stable, anti-correlated functional subnetworks in the brain. Task-positive networks are active during a cognitive process and are anti-correlated with task-negative networks, which are active during rest.
Harini Eavani +5 more
openaire +2 more sources
ABSTRACT The heterogeneity in both the neurobiological mechanisms and the phenotypic presentations of autism spectrum disorder (ASD) poses a major challenge to clinical and translational research. Alterations in functional connectivity (FC) have been associated with ASD, yet it remains unclear whether and how divergent brain network properties may ...
Borja Rodríguez‐Herreros +16 more
wiley +1 more source
ABSTRACT Autistic individuals frequently report heightened sensitivity to visual stimuli, often described as discomfort in environments with bright or flickering lights. These experiences are hypothesized to reflect underlying differences in sensory gain or neural hyperexcitability; however, findings across studies have yielded mixed results, likely ...
Daniela L. Seczon +6 more
wiley +1 more source
Objective The objective of this study was to investigate the functional changes associated with mild cognitive impairment (MCI) using independent component analysis (ICA) with the word generation task functional magnetic resonance imaging (fMRI) and ...
Kerem Kemik +5 more
doaj +1 more source

