Results 111 to 120 of about 475,817 (388)

A Novel Transfer Learning‐Based Hybrid EEG‐fNIRS Brain‐Computer Interface for Intracerebral Hemorrhage Rehabilitation

open access: yesAdvanced Science, EarlyView.
The study has developed the first clinically validated hybrid EEG‐fNIRS brain‐computer interface fusion framework that systematically overcomes cross‐subject generalization barriers through a novel Wasserstein metric‐driven neural template selection mechanism.
Danyang Chen   +18 more
wiley   +1 more source

Decoding Handwriting Trajectories from Intracortical Brain Signals for Brain‐to‐Text Communication

open access: yesAdvanced Science, EarlyView.
By developing a novel framework that optimizes both shape and temporal loss during decoder training, the authors successfully reconstruct human‐recognizable handwriting trajectories from intracortical neural signals for both Chinese characters and English letters, effectively resolving the temporal misalignment problem in clinical BCIs, thereby ...
Guangxiang Xu   +6 more
wiley   +1 more source

From gut to brain: unveiling probiotic effects through a neuroimaging perspective—A systematic review of randomized controlled trials

open access: yesFrontiers in Nutrition
The gut–brain axis, a bidirectional communication network between the gastrointestinal system and the brain, significantly influences mental health and behavior.
Annachiara Crocetta   +13 more
doaj   +1 more source

Chronically Stable, High‐Resolution Micro‐Electrocorticographic Brain‐Computer Interfaces for Real‐Time Motor Decoding

open access: yesAdvanced Science, EarlyView.
A high‐resolution micro‐electrocorticographic (µECoG) brain‐computer interface (BCI) for real‐time motor decoding is reported. The application of flexible, scalable µECoG electrode arrays overcomes the insufficient spatial resolution in conventional ECoG BCIs.
Erda Zhou   +15 more
wiley   +1 more source

Tracking the Temporal Footprint Effect of Thermonociception and Denervation on the Brain’s Pain Matrix: fMRI and BOLD Study in Rats

open access: yesJournal of Pain Research, 2022
Francisco Pellicer,1 Juan M Ortega-Legaspi,2 Rodrigo Martín,3 Sergio Solís-Nájera,4 Lucía Magis-Weinberg,5 Martha León-Olea,6 Ariel Graff-Guerrero,7,8 Camilo de la Fuente-Sandoval,9 Alfredo O Rodriguez3 1Laboratorio de ...
Pellicer F   +8 more
doaj  

Modelling large motion events in fMRI studies of patients with epilepsy [PDF]

open access: yes, 2007
EEG-correlated fMRI can provide localisation information on the generators of epileptiform discharges in patients with focal epilepsy. To increase the technique's clinical potential, it is important to consider ways of optimising the yield of each ...
Carmichael, D.   +4 more
core  

Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes

open access: yesAdvanced Science, EarlyView.
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He   +6 more
wiley   +1 more source

A Test-Retest Study of Single- and Multi-Delay pCASL for Choroid Plexus Perfusion Imaging in Healthy Subjects Aged 19 to 87 Years

open access: yesNeuroImage
There is a growing interest in the choroid plexus (ChP) due to its critical role in cerebrospinal fluid (CSF) production and its involvement in neurodegenerative and cerebrovascular diseases.
Zixuan Liu   +5 more
doaj   +1 more source

A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data

open access: yes, 2018
We propose a matrix factorization technique that decomposes the resting state fMRI (rs-fMRI) correlation matrices for a patient population into a sparse set of representative subnetworks, as modeled by rank one outer products.
A Venkataraman   +8 more
core   +1 more source

BROAD‐NESS Uncovers Dual‐Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks

open access: yesAdvanced Science, EarlyView.
BROADband Network Estimation via Source Space (BROAD‐NESS) is a flexible analytical pipeline for identifying large‐scale brain networks from event‐related, source‐reconstructed MEG data, with a focus on auditory predictive and memory processes. BROAD‐NESS integrates a suite of complementary tools, including PCA‐based decomposition, phase space, and ...
Leonardo Bonetti   +8 more
wiley   +1 more source

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