A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison
Sign Up to like & getrecommendations! Published in 2018 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2017.12.032
Abstract: &NA; The focus of this paper is on evaluating brain responses to different stimuli and identifying brain regions with different responses using multi‐subject, stimulus‐evoked functional magnetic resonance imaging (fMRI) data. To jointly model many brain… read more here.
Keywords: fmri data; model; optimization; multi subject ... See more keywords
Multi-subject Stochastic Blockmodels for adaptive analysis of individual differences in human brain network cluster structure
Sign Up to like & getrecommendations! Published in 2020 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2020.116611
Abstract: There is great interest in elucidating the cluster structure of brain networks in terms of modules, blocks or clusters of similar nodes. However, it is currently challenging to handle data on multiple subjects since most… read more here.
Keywords: analysis; cluster structure; brain; multi subject ... See more keywords
Semantic fMRI neurofeedback: a multi-subject study at 3 tesla
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac6f81
Abstract: Objective. Real-time functional magnetic resonance imaging neurofeedback (rt-fMRI-NF) is a non-invasive procedure allowing the self-regulation of brain functions via enhanced self-control of fMRI based neural activation. In semantic rt-fMRI-NF, an estimated relation between multivariate fMRI… read more here.
Keywords: multi subject; fmri; rsa; feedback ... See more keywords
Perceived Image Decoding From Brain Activity Using Shared Information of Multi-Subject fMRI Data
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DOI: 10.1109/access.2021.3057800
Abstract: Decoding a person’s cognitive contents from evoked brain activity is becoming important in the field of brain-computer interaction. Previous studies have decoded a perceived image from functional magnetic resonance imaging (fMRI) activity by constructing brain… read more here.
Keywords: multi subject; fmri; activity; fmri data ... See more keywords
Multi-subject subspace alignment for non-stationary EEG-based emotion recognition
Sign Up to like & getrecommendations! Published in 2018 at "Technology and Health Care"
DOI: 10.3233/thc-174739
Abstract: Emotion recognition based on EEG signals is a critical component in Human-Machine collaborative environments and psychiatric health diagnoses. However, EEG patterns have been found to vary across subjects due to user fatigue, different electrode placements,… read more here.
Keywords: multi subject; emotion recognition; subspace alignment;
Quantitative Model of Multi-Subject Quality Responsibility in General Contracting Projects Based on Sailed Fish Optimizer
Sign Up to like & getrecommendations! Published in 2023 at "Buildings"
DOI: 10.3390/buildings13061375
Abstract: In order to address the issue of the quantitative allocation of quality responsibility among different subjects in engineering general contracting projects, this paper proposed a quantitative model (M-ResQu) for multi-subject quality responsibility allocation based on… read more here.
Keywords: quality; multi subject; general contracting; quality responsibility ... See more keywords