Results 121 to 130 of about 475,817 (388)
Georg Deutsch,1 Hrishikesh Deshpande,1 H Henry Lai,2 Jason J Kutch,3 Timothy J Ness4 1Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA; 2Division of Urologic Surgery, Department of Surgery, Washington University School of
Deutsch G+4 more
doaj
Acquiring resting‐state functional magnetic resonance imaging (fMRI) datasets at multiple MRI scanners and clinical sites can improve statistical power and generalizability of results.
Meichen Yu+9 more
semanticscholar +1 more source
The future of FMRI connectivity
"FMRI connectivity" encompasses many areas of research, including resting-state networks, biophysical modelling of task-FMRI data and bottom-up simulation of multiple individual neurons interacting with each other. In this brief paper I discuss several outstanding areas that I believe will see exciting developments in the next few years, in particular ...
openaire +6 more sources
This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley +1 more source
Tracking prototype and exemplar representations in the brain across learning
There is a long-standing debate about whether categories are represented by individual category members (exemplars) or by the central tendency abstracted from individual members (prototypes).
Caitlin R Bowman+2 more
doaj +1 more source
Multilingualism: an fMRI study
To investigate the hypothesis that in multilingual speakers different languages are represented in distinct brain regions, 12 multilingual right-handed men performed a word fluency task, a picture naming task, a comprehension reading task, and their respective control tasks in three languages (Dutch, French, and English) while whole-head functional ...
Cathelijne Tesink+7 more
openaire +3 more sources
This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani+2 more
wiley +1 more source
Simultaneous deep brain stimulation (DBS) and functional magnetic resonance imaging (fMRI) constitutes a powerful tool for elucidating brain functional connectivity, and exploring neuromodulatory mechanisms of DBS therapies.
Siyuan Zhao+11 more
semanticscholar +1 more source
Synthesis of Literature: Neurodegeneration in Moderate‐Severe TBI. Objective Although moderate‐to‐severe traumatic brain injury (msTBI) was once considered a static neural event following resolution of acute injuries, numerous studies now demonstrate progressive losses to volume and white matter integrity in the months and years postinjury, leading to ...
Bhanu Sharma+4 more
wiley +1 more source
Small sample sizes reduce the replicability of task-based fMRI studies
Despite a growing body of research suggesting that task-based functional magnetic resonance imaging (fMRI) studies often suffer from a lack of statistical power due to too-small samples, the proliferation of such underpowered studies continues unabated ...
Benjamin O. Turner+3 more
semanticscholar +1 more source