Results 201 to 210 of about 2,379,213 (373)

Editorial: Simultaneous EEG-fMRI applications in cognitive neuroscience. [PDF]

open access: yesFront Hum Neurosci, 2023
Ebrahimzadeh E, Soltanian-Zadeh H.
europepmc   +1 more source

On the relation between theory of mind and executive functioning: A developmental cognitive neuroscience perspective

open access: yesPsychonomic Bulletin & Review, 2018
Mark Wade   +5 more
semanticscholar   +1 more source

Cracking the Valence Code: Patterned Facial Kinematics and Neural Signatures of Emotional Expressions in Mice

open access: yesAdvanced Science, EarlyView.
An AI‐powered system decodes emotional valence from mouse facial expressions, identifying ear dynamics as key indicators. By integrating facial kinematics with synchronized neural recordings, this approach establishes a direct link between behavior and brain activity, advancing automated emotion recognition in animal models.
Yujia Chen   +9 more
wiley   +1 more source

Oxytocin Reduces Subjective Fear in Naturalistic Social Contexts via Enhancing Top‐Down Middle Cingulate Amygdala Regulation and Brain‐Wide Fear Representations

open access: yesAdvanced Science, EarlyView.
This double‐blind, placebo‐controlled study demonstrates that intranasal oxytocin reduces subjective fear in immersive, naturalistic social (but not non‐social) contexts. Concomitant fMRI reveals that oxytocin enhances middle cingulate activity and amygdala connectivity while it modulates network‐level connectivity and attenuates reactivity of a brain ...
Kun Fu   +17 more
wiley   +1 more source

Cognitive Neuroscience Perspectives on Language Acquisition and Processing. [PDF]

open access: yesBrain Sci, 2023
Prystauka Y   +4 more
europepmc   +1 more source

A Replicable and Generalizable Neuroimaging‐Based Indicator of Pain Sensitivity Across Individuals

open access: yesAdvanced Science, EarlyView.
Humans differ in their sensitivity to pain. With six large and diverse fMRI datasets (total N = 1046), this study finds that such individual differences in pain sensitivity can be tracked by fMRI responses to painful stimuli. A highly generalizable machine learning model is further built to predict pain sensitivity across all datasets and analgesic ...
Li‐Bo Zhang   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy