Results 41 to 50 of about 362,106 (369)
Epilepsy is a common neurological disorder with diverse etiologies. Neuroimaging plays an important role in workup of patients with epilepsy. It helps to identify brain pathologies that require specific treatment; and also in formulating syndromic and etiological diagnoses so as to give patients and their relatives an accurate prognosis.
Trishit Roy, Alak Pandit
openaire +6 more sources
Substantial individual differences exist in how acute stress affects large-scale neurocognitive networks, including salience (SN), default mode (DMN), and central executive networks (CEN). Changes in the connectivity strength of these networks upon acute
Wei Zhang+8 more
doaj +1 more source
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review [PDF]
Machine learning is playing an increasingly important role in medical image analysis, spawning new advances in the clinical application of neuroimaging. There have been some reviews on machine learning and epilepsy before, and they mainly focused on electrophysiological signals such as electroencephalography (EEG) and stereo electroencephalography ...
arxiv
Characterising Ageing in the Human Brainstem Using Quantitative Multimodal MRI Analysis
Ageing is ubiquitous to the human condition. The MRI correlates of healthy ageing have been extensively investigated using a range of modalities, including volumetric MRI, quantitative MRI and DTI.
Christian eLambert+10 more
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Social exclusion refers to the experience of rejection by one or more people during a social event and can induce pain-related sensations. Cyberball, a computer program, is one of the most common tools for analyzing social exclusion. Regions of the brain
Anthony Minervini+5 more
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Neuroimaging of Consciousness [PDF]
Neuroimaging of consciousness / , Neuroimaging of consciousness / , کتابخانه دیجیتال جندی شاپور ...
CAVANNA, Andrea Eugenio+3 more
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Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python
Current neuroimaging software offer users an incredible opportunity to analyze their data in different ways, with different underlying assumptions. Several sophisticated software packages (e.g., AFNI, BrainVoyager, FSL, FreeSurfer, Nipy, R, SPM) are used
Krzysztof J. Gorgolewski+6 more
semanticscholar +1 more source
Recent research has consistently demonstrated reduced orienting to social stimuli in samples of young children with Autism Spectrum Disorders (ASD). However, social orienting greatly varies between individual children on the spectrum.
Martina Franchini+7 more
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Contextual perception under active inference
Human social interactions depend on the ability to resolve uncertainty about the mental states of others. The context in which social interactions take place is crucial for mental state attribution as sensory inputs may be perceived differently depending
M. Berk Mirza+4 more
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Drowsiness detection using combined neuroimaging: Overview and Challenges [PDF]
Brain-computer interfaces (BCIs) collect, analyze, and convert brain activity into instructions and send it to the detection system. BCI is becoming popular in under-brain activities in certain conditions such as attention-based tasks. Researchers have recently used combined neuroimaging techniques such as EEG+fNIRS and EEG+fMRI to solve many real ...
arxiv