Results 131 to 140 of about 540,403 (319)
Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes
This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways.
Sijia Wang +51 more
wiley +1 more source
Emotion Recognition in Adults With a History of Childhood Maltreatment: A Systematic Review
Annie Bérubé +3 more
openalex +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source
Morphine activates the excitatory cingulate cortex–intermediate rostrocaudal division of zona incerta (Cg‐ZIm) pathway to drive hyperlocomotion in mice. Inhibiting the Cg‐ZIm pathway attenuates both acute and chronic morphine‐induced hyperlocomotion, while its activation mimics morphine's motor effects.
Chun‐Yue Li +13 more
wiley +1 more source
Intelligent emotion recognition for drivers using model-level multimodal fusion
Unstable emotions are considered to be an important factor contributing to traffic accidents. The probability of accidents can be reduced if emotional anomalies of drivers can be quickly identified and intervened.
Xing Luan, Quan Wen, Bo Hang
doaj +1 more source
Ecologically‐Valid Emotion Signatures Enhance Mood Disorder Diagnostics
This study identifies ecologically‐valid Divergent Emotional Functional Networks (DEFN), derived from dynamic functional connectivity during naturalistic movie watching. The DEFN reliably enhances diagnostic accuracy for mood disorders, including major depressive and bipolar disorders, demonstrating strong reproducibility across demographic factors and
Shuyue Xu +6 more
wiley +1 more source
Emotion is a complex conscious that humans experience as a result of interactions with the environment. The project basically takes in the image, recognises the emotion by fragmenting the image with the deep learning technique using CNN. The tools and framework used here are keras and TensorFlow respectively.
Rao, Manisha R +5 more
openaire +1 more source
Neddylation Targets and Stabilizes NLRP3 to Augment Inflammasome‐Mediated Colitis and Mood Disorder
NLRP3 inflammasome contributes to colitis and mood disorder. This study demonstrates that neddylation targets NLRP3 at K287, which hinders its interaction with K48‐linked ubiquitination E3 Trim31 and thereby stabilizes it. Neddylation blockade in myeloid cells and microglia mitigates DSS‐induced colitis and psychological stress‐induced anxiety‐like ...
Wenbin Gai +13 more
wiley +1 more source
Emotion Recognition Ability as a Predictor of Well-Being During the COVID-19 Pandemic [PDF]
Katja Schlegel +4 more
openalex +1 more source
Nurr1 Orchestrates Claustrum Development and Functionality
Nurr1 (Nr4a2) is the master transcription factor to control claustrum morphogenesis and cell fate decision postmitotically by inhibiting intracellular G‐protein signaling. Nurr1 deficiency alters the transcriptomic profiles of subcortical claustral neurons into neocortical insular neurons, resulting in defected claustrum development, impaired axonal ...
Kuo Yan +12 more
wiley +1 more source

