Results 31 to 40 of about 369,066 (296)

SMART: A statistical framework for optimal design matrix generation with application to fMRI [PDF]

open access: yes, 2009
The general linear model (GLM) is a well established tool for analyzing functional magnetic resonance imaging (fMRI) data. Most fMRI analyses via GLM proceed in a massively univariate fashion where the same design matrix is used for analyzing data from ...
Baumgartner, Richard   +5 more
core   +1 more source

Adaptive Gaussian Markov Random Fields with Applications in Human Brain Mapping [PDF]

open access: yes, 2005
Functional magnetic resonance imaging (fMRI) has become the standard technology in human brain mapping. Analyses of the massive spatio-temporal fMRI data sets often focus on parametric or nonparametric modeling of the temporal component, while spatial ...
Brezger, Andreas   +2 more
core   +2 more sources

Double Temporal Sparsity Based Accelerated Reconstruction in Compressed Sensing fMRI

open access: yes, 2017
A number of reconstruction methods have been proposed recently for accelerated functional Magnetic Resonance Imaging (fMRI) data collection. However, existing methods suffer with the challenge of greater artifacts at high acceleration factors. This paper
Aggarwal, Priya, Gupta, Anubha
core   +1 more source

PRN: a preprint service for catalyzing R-fMRI and neuroscience related studies [v1; ref status: indexed, http://f1000r.es/4ws]

open access: yesF1000Research, 2014
Sharing drafts of scientific manuscripts on preprint hosting services for early exposure and pre-publication feedback is a well-accepted practice in fields such as physics, astronomy, or mathematics.
Chaogan Yan, Qingyang Li, Lei Gao
doaj   +1 more source

Semiparametric Bayesian models for human brain mapping [PDF]

open access: yes, 2002
Functional magnetic resonance imaging (fMRI) has led to enormous progress in human brain mapping. Adequate analysis of the massive spatiotemporal data sets generated by this imaging technique, combining parametric and non-parametric components, imposes ...
C Gössl   +4 more
core   +2 more sources

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

A new indwelling urethral catheter (amSafeX) to verify the position of its balloon within the bladder during inflation

open access: yesUrology Video Journal
Introduction: Inserting a Foley catheter for urethral catheterization can lead to numerous iatrogenic injuries in patients, as it is difficult to ensure that the balloon is in the bladder during inflation.
Anil Mandhani   +4 more
doaj   +1 more source

The Neural Correlates of Consciousness and Attention: Two Sister Processes of the Brain

open access: yesFrontiers in Neuroscience, 2019
During the last three decades our understanding of the brain processes underlying consciousness and attention has significantly improved, mainly because of the advances in functional neuroimaging techniques.
Andrea Nani   +13 more
doaj   +1 more source

DC Shifts-fMRI: A Supplement to Event-Related fMRI [PDF]

open access: yesFrontiers in Computational Neuroscience, 2019
Event-related fMRI have been widely used in locating brain regions which respond to specific tasks. However, activities of brain regions which modulate or indirectly participate in the response to a specific task are not event-related. Event-related fMRI can't locate these regulatory regions, detrimental to the integrity of the result that event ...
Qiang Li   +6 more
openaire   +3 more sources

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano   +11 more
wiley   +1 more source

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