Evaluating of bootstrap procedures for fMRI data [PDF]
, 2011 Over the last decade the bootstrap procedure is gaining popularity in the statistical analysis of neuroimaging data. This powerful procedure can be used for example in the non-parametric analysis of neuro-imaging data.
Loeys, Tom +2 more
core
Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI [PDF]
arXiv, 2018 While functional magnetic resonance imaging (fMRI) is important for healthcare/neuroscience applications, it is challenging to classify or interpret due to its multi-dimensional structure, high dimensionality, and small number of samples available. Recent sparse multilinear regression methods based on tensor are emerging as promising solutions for fMRI,
arxiv
An overview and some new developments in the statistical analysis of PET and fMRI data [PDF]
, 1997 Keith J. Worsley
openalex +1 more source
Machine learning in resting-state fMRI analysis [PDF]
arXiv, 2018 Machine learning techniques have gained prominence for the analysis of resting-state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview of various unsupervised and supervised machine learning applications to rs-fMRI. We present a methodical taxonomy of machine learning methods in resting-state fMRI.
arxiv
fMRI identifies a network of structures correlated with retention of positive and negative emotional memory [PDF]
, 1999 Turhan Canli +4 more
openalex +1 more source
Estimating effective connectivity in linear brain network models
, 2017 Contemporary neuroscience has embraced network science to study the complex and self-organized structure of the human brain; one of the main outstanding issues is that of inferring from measure data, chiefly functional Magnetic Resonance Imaging (fMRI ...
Bertoldo, Alessandra +3 more
core +1 more source
Looking through the mind's eye via multimodal encoder-decoder networks [PDF]
arXivIn this work, we explore the decoding of mental imagery from subjects using their fMRI measurements. In order to achieve this decoding, we first created a mapping between a subject's fMRI signals elicited by the videos the subjects watched. This mapping associates the high dimensional fMRI activation states with visual imagery.
arxiv
Signal-, Set- and Movement-related Activity in the Human Brain: An Event-related fMRI Study [PDF]
, 1999 openalex +1 more source
MinD-3D++: Advancing fMRI-Based 3D Reconstruction with High-Quality Textured Mesh Generation and a Comprehensive Dataset [PDF]
arXivReconstructing 3D visuals from functional Magnetic Resonance Imaging (fMRI) data, introduced as Recon3DMind, is of significant interest to both cognitive neuroscience and computer vision. To advance this task, we present the fMRI-3D dataset, which includes data from 15 participants and showcases a total of 4,768 3D objects.
arxiv
Covert Visual Attention Modulates Face-Specific Activity in the Human Fusiform Gyrus: fMRI Study [PDF]
, 1998 Ewa Wojciulik +2 more
openalex +1 more source