AIMC Topic: Brain

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From neurotoxicity to neuroprotection: Rethinking GABAR-targeting anesthetics.

Cell biology and toxicology
The brain growth spurt (BGS) represents a pivotal window in neurodevelopment, defined by rapid neurogenesis, heightened synaptogenesis, and the dynamic establishment of neural networks. During this phase, heightened brain plasticity significantly enh...

Neur-Ally: a deep learning model for regulatory variant prediction based on genomic and epigenomic features in brain and its validation in certain neurological disorders.

NAR genomics and bioinformatics
Large-scale quantitative studies have identified significant genetic associations for various neurological disorders. Expression quantitative trait locusĀ (eQTL) studies have shown the effect of single-nucleotide polymorphisms (SNPs) on the differenti...

NeuroEmo: A neuroimaging-based fMRI dataset to extract temporal affective brain dynamics for Indian movie video clips stimuli using dynamic functional connectivity approach with graph convolution neural network (DFC-GCNN).

Computers in biology and medicine
FMRI, a non-invasive neuroimaging technique, can detect emotional brain activation patterns. It allows researchers to observe functional changes in the brain, making it a valuable tool for emotion recognition. For improved emotion recognition systems...

Regional and whole-brain neurofunctional alterations during pain empathic processing of physical but not affective pain in migraine patients.

The journal of headache and pain
BACKGROUND: Accumulating evidence suggests that migraine patients present abnormal brain responses to salient sensory and emotional stimuli. However, it is still unclear whether this is a generalized or domain-specific phenomenon. Employing a well-va...

Providing context: Extracting non-linear and dynamic temporal motifs from brain activity.

PloS one
Approaches studying the dynamics of resting-state functional magnetic resonance imaging (rs-fMRI) activity often focus on time-resolved functional connectivity (tr-FC). While many tr-FC approaches have been proposed, most are linear approaches, e.g. ...

Roman domination-based spiking neural network for optimized EEG signal classification of four class motor imagery.

Computers in biology and medicine
The Spiking Neural Network (SNN) is a third-generation neural network recognized for its energy efficiency and ability to process spatiotemporal information, closely imitating the behavioral mechanisms of biological neurons in the brain. SNN exhibit ...

Robust Bayesian brain extraction by integrating structural subspace-based spatial prior into deep neural networks.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Accurate and robust brain extraction, or skull stripping, is essential for studying brain development, aging, and neurological disorders. However, brain images exhibit substantial data heterogeneity due to differences in contrast and geometric charac...

From code to archetype: Toward a unified theory of biological, neural, and artificial artifacts.

Bio Systems
Carl Jung's concept of archetypes as innate, universal structures of the human psyche finds surprising resonance with contemporary theories in Code Biology, neuroscience, and artificial intelligence. Archetypes, far from being metaphysical abstractio...

AI-powered remote monitoring of brain responses to clear and incomprehensible speech via speckle pattern analysis.

Journal of biomedical optics
SIGNIFICANCE: Functional magnetic resonance imaging provides high spatial resolution but is limited by cost, infrastructure, and the constraints of an enclosed scanner. Portable methods such as functional near-infrared spectroscopy and electroencepha...

SMART MRS: A Simulated MEGA-PRESS ARTifacts toolbox for GABA-edited MRS.

Magnetic resonance in medicine
PURPOSE: To create a Python-based toolbox to simulate commonly occurring artifacts for single voxel gamma-aminobutyric acid (GABA)-edited MRS data.