Results 41 to 50 of about 461,759 (306)
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
Predicting Responses from Weighted Networks with Node Covariates in an Application to Neuroimaging [PDF]
We consider the setting where many networks are observed on a common node set, and each observation comprises edge weights of a network, covariates observed at each node, and an overall response. The goal is to use the edge weights and node covariates to predict the response while identifying an interpretable set of predictive features.
arxiv
Towards structured sharing of raw and derived neuroimaging data across existing resources
Data sharing efforts increasingly contribute to the acceleration of scientific discovery. Neuroimaging data is accumulating in distributed domain-specific databases and there is currently no integrated access mechanism nor an accepted format for the ...
Ashish, N.+9 more
core +1 more source
The coordinate-based meta-analysis of neuroimaging data [PDF]
Neuroimaging meta-analysis is an area of growing interest in statistics. The special characteristics of neuroimaging data render classical meta-analysis methods inapplicable and therefore new methods have been developed. We review existing methodologies, explaining the benefits and drawbacks of each. A demonstration on a real dataset of emotion studies
arxiv +1 more source
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data [PDF]
Brain extraction and registration are important preprocessing steps in neuroimaging data analysis, where the goal is to extract the brain regions from MRI scans (i.e., extraction step) and align them with a target brain image (i.e., registration step). Conventional research mainly focuses on developing methods for the extraction and registration tasks ...
arxiv +1 more source
Neuroimaging in Functional Movement Disorders. [PDF]
PURPOSE OF REVIEW: Functional movement disorders are common and disabling causes of abnormal movement control. Here, we review the current state of the evidence on the use of neuroimaging in Functional movement disorders, particularly its role in helping
Edwards, MJ, Roelofs, JJ, Teodoro, T
core +2 more sources
Neuroimaging techniques have refined the characterization of neural structures involved in the regulation of normal sleep-wake cycle in healthy humans. Yet brain imaging studies in patients with sleep disorders still remain scarce. In narcoleptic patients, structural and functional brain imaging studies have suggested the involvement of the ...
Dang-Vu, T. T.+3 more
openaire +5 more sources
Active inference and the two-step task
Sequential decision problems distill important challenges frequently faced by humans. Through repeated interactions with an uncertain world, unknown statistics need to be learned while balancing exploration and exploitation.
Sam Gijsen+2 more
doaj +1 more source
Now that access of large domestic mammals to high-field MRI becomes more common, techniques initially implemented for human patients can be used for the structural and functional study of the brain of these animals.
Germain Arribarat+8 more
doaj +1 more source
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
doaj +1 more source