Results 131 to 140 of about 933,034 (232)

A Comprehensive Review on the Role of Resting-State Functional Magnetic Resonance Imaging in Predicting Post-Stroke Motor and Sensory Outcomes

Neurology International
Stroke is a major leading cause of chronic disability, often affecting patients’ motor and sensory functions. Functional magnetic resonance imaging (fMRI) is the most commonly used method of functional neuroimaging, and it allows for the non-invasive ...
Foteini Christidi, Ilias Orgianelis, Ermis Merkouris, Christos Koutsokostas, Dimitrios Tsiptsios, Efstratios Karavasilis, Evlampia A. Psatha, Anna Tsiakiri, Aspasia Serdari, Nikolaos Aggelousis, Konstantinos Vadikolias   +10 more
doaj   +1 more source

Coupling between global brain blood oxygen level‐dependent activity and cerebrospinal fluid dynamics in young endurance athletes

Experimental Physiology, Volume 111, Issue 11, Page 5219-5235, 1 November 2026.
Abstract Cerebrospinal fluid (CSF) contributes to brain waste clearance through its coupling with cerebral haemodynamics. Aerobic exercise promotes brain health, but its influence on brain waste clearance remains unclear. This study examined the coupling between CSF and cerebral haemodynamics in endurance athletes. Fifteen young male endurance athletes
Daisuke Hoshi, Marina Fukuie, Ryota Asahara, Tsubasa Tomoto, David C. Zhu, Rong Zhang, Keigo Ohyama‐Byun, Seiji Maeda, Jun Sugawara, Takashi Tarumi   +9 more
wiley   +1 more source

The merit of group-level analyses in TMS targeting: group-based task-driven TMS coil positioning can outperform individual approaches - evidence from resting-state-, diffusion-, and functional-MR

NeuroImage
Individualized TMS coil positioning enhances the precision of targeting a specific brain region. The gold standard method for this is individual task based fMRI guided TMS.
Ting Wang, Michael Capalbo, Felix Duecker, Alexander T Sack   +3 more
doaj   +1 more source

Convolutional Neural Network for the Classification of Independent Components of rs-fMRI

, 2021
La resonancia magnética funcional en estado de reposo (rs-fMRI) es una de las técnicas más relevantes en exploración cerebral. No obstante, la misma es susceptible a muchos factores externos que pueden ocluir la señal de interés. En este orden de ideas, las imágenes rs-fMRI han sido estudiadas desde diferentes enfoques, existiendo un especial interés ...
Mera-Jiménez, Leonel, Ochoa-Gómez, John F.   +1 more
openaire   +1 more source

FUNCTIONAL CONNECTIVITY APPROACH BASED ON RESAMPLING TECHNIQUE OF RS-FMRI FOR CLASSIFICATION OF ALZHEIMER’S DISEASE SUBTYPES

, 2023
Observing brain connectivity patterns is one of the most effective approaches for analyzing brain functions. The resting-state functional magnetic resonance imaging (rs-fMRI) is a promising tool to analyze brain connectivity patterns.
SADIQ, ALISHBA
core  

Systematic Review Between Resting-State fMRI and Task fMRI in Planning for Brain Tumour Surgery

Journal of Multidisciplinary Healthcare
Hamad Yahia Abu Mhanna,1 Ahmad Fairuz Omar,1 Yasmin Md Radzi,1 Ammar A Oglat,2 Hanan Fawaz Akhdar,3 Haytham Al Ewaidat,4 Abdallah Almahmoud,4 Laith Al Badarneh,1 Amer Ali Malkawi,5 Ahmed Malkawi6 1School of Physics, Universiti Sains Malaysia (USM ...
Abu Mhanna HY, Omar AF, Md Radzi Y, Oglat AA, Akhdar HF, Al Ewaidat H, Almahmoud A, Al Badarneh L, Malkawi AA, Malkawi A   +9 more
doaj  

Resting-State vs. Task-Based Functional Magnetic Resonance Imaging in Neurosurgical Planning: A Narrative Review of Clinical Applications

Biomedicines
Background: Accurate presurgical localization of eloquent cortex and subcortical pathways is essential in neurosurgery, guiding the balance between maximal safe resection and preservation of neurological function.
Maurycy Rakowski, Natalia Anna Koc, Anna Dębska, Bartosz Szmyd, Agata Zawadzka, Karol Zaczkowski, Małgorzata Podstawka, Dagmara Wilmańska, Adam Dobek, Ludomir Stefańczyk, Dariusz J. Jaskólski, Karol Wiśniewski   +11 more
doaj   +1 more source

Functional connectivity changes during epileptogenesis : a longitudinal rs-fMRI study

, 2017
1. INTRODUCTION Temporal lobe epilepsy (TLE) is the most common form of epilepsy in adults. Research has shown that abnormal functional brain networks could be involved in the development of epilepsy and its comorbidities [1]. Gaining more insight into these networks can be useful for the development of new therapies.
Christiaen, Emma, Goossens, Marie-Gabrielle, Descamps, Benedicte, Boon, Paul, Raedt, Robrecht, Vanhove, Christian   +5 more
openaire   +3 more sources

Explaining deep learning-based representations of resting state functional connectivity data: focusing on interpreting nonlinear patterns in autism spectrum disorder

Frontiers in Psychiatry
BackgroundResting state Functional Magnetic Resonance Imaging fMRI (rs-fMRI) has been used extensively to study brain function in psychiatric disorders, yielding insights into brain organization.
Young-geun Kim, Young-geun Kim, Young-geun Kim, Orren Ravid, Xinyuan Zheng, Yoojean Kim, Yuval Neria, Yuval Neria, Seonjoo Lee, Seonjoo Lee, Seonjoo Lee, Xiaofu He, Xiaofu He, Xi Zhu, Xi Zhu   +14 more
doaj   +1 more source

Tinnitus classification based on resting-state functional connectivity using a convolutional neural network architecture

NeuroImage
Objectives: Many studies have investigated aberrant functional connectivity (FC) using resting-state functional MRI (rs-fMRI) in subjective tinnitus patients.
Qianhui Xu, Lei-Lei Zhou, Chunhua Xing, Xiaomin Xu, Yuan Feng, Han Lv, Fei Zhao, Yu-Chen Chen, Yuexin Cai   +8 more
doaj   +1 more source