Results 41 to 50 of about 362,106 (369)

Neuroimaging in epilepsy

open access: yesAnnals of Indian Academy of Neurology, 2011
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

Acute-stress-induced change in salience network coupling prospectively predicts post-trauma symptom development

open access: yesTranslational Psychiatry, 2022
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]

open access: yesarXiv, 2021
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

open access: yesFrontiers in Human Neuroscience, 2013
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
doaj   +1 more source

Excitatory Dorsal Lateral Prefrontal Cortex Transcranial Magnetic Stimulation Increases Social Anxiety

open access: yesBrain Sciences, 2023
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
doaj   +1 more source

Neuroimaging of Consciousness [PDF]

open access: yes, 2013
Neuroimaging of consciousness / , Neuroimaging of consciousness / , کتابخانه دیجیتال جندی شاپور ...
CAVANNA, Andrea Eugenio   +3 more
openaire   +2 more sources

Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python

open access: yesFront. Neuroinform., 2011
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

Brief Report: A Preference for Biological Motion Predicts a Reduction in Symptom Severity One Year Later in Preschoolers with an Autism Spectrum Disorder

open access: yesFrontiers in Psychiatry, 2016
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
doaj   +1 more source

Contextual perception under active inference

open access: yesScientific Reports, 2021
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
doaj   +1 more source

Drowsiness detection using combined neuroimaging: Overview and Challenges [PDF]

open access: yesarXiv, 2022
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  

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