Results 91 to 100 of about 59,362 (311)

Recent applications of magnetic iron oxide nanoparticles for cerebral blood volume quantification in functional magnetic resonance imaging

Ibrain, EarlyView.
This study explores the recent advances in the use of iron oxide nanoparticles (IONPs) in functional MRI (fMRI) for studying brain functions, specifically cerebral blood volume (CBV) measurements. It covers fMRI techniques, magnetic nanoparticle synthesis, coating methods, and their applications in CBV imaging, in comparison to other contrast agents in
Giorgio Capuzzello, Antonella Antonelli, Rosaria Rinaldi, Riccardo Di Corato   +3 more
wiley   +1 more source

Studying Sub-dendrograms of Resting-state Functional Networks with Voxel-wise Hierarchical Clustering

Frontiers in Human Neuroscience, 2016
Hierarchical clustering is a useful data-driven approach to classify complex data and has been used to analyze resting-state functional magnetic resonance imaging (fMRI) data and derive functional networks of the human brain at very large scale, such as ...
Yanlu eWang, Mussie eMsghina, Tie-Qiang eLi, Tie-Qiang eLi   +3 more
doaj   +1 more source

Assessment of Small Vessel Density Changes in Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalophy (CADASIL) by High‐Resolution Black‐Blood MRI

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Direct assessments of cerebral small vessels in Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) remain a challenge. Purpose To investigate changes of cerebral small vessels in CADASIL using iso‐0.5 mm black‐blood MRI. Study Type Case control study.
Zidong Yang, Fanhua Guo, Steve Mendoza, Ziyang Huang, Yingying Li, Yunqing Ying, Xin Cheng, Qi Yang, Yonggang Shi, Danny J. J. Wang   +9 more
wiley   +1 more source

Resting-state functional connectivity of orthographic networks in acquired dysgraphia

Frontiers in Psychology, 2015
Introduction. While task-based fMRI has been used extensively to study the functional neural networks that instantiate cognitive functions, there is increasing interest in analyzing the activity of the brain while it is not performing a task – in the ...
Gali Ellenblum
doaj   +1 more source

Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks

The Neuroradiology Journal, 2017
The inquisitiveness about what happens in the brain has been there since the beginning of humankind. Functional magnetic resonance imaging is a prominent tool which helps in the non-invasive examination, localisation as well as lateralisation of brain functions such as language, memory, etc.
Chandrasekharan Kesavadas, T R Kapilamoorthy, P.G. Rajesh, K A Smitha, K Akhil Raja, Bejoy Thomas, K M Arun   +6 more
openaire   +3 more sources

Predicting Breath Hold Task Compliance From Head Motion

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Cerebrovascular reactivity reflects changes in cerebral blood flow in response to an acute stimulus and is reflective of the brain's ability to match blood flow to demand. Functional MRI with a breath‐hold task can be used to elicit this vasoactive response, but data validity hinges on subject compliance.
Timothy B. Weng, Gargi Porwal, Dhivya Srinivasan, Ben Inglis, Sabrina Rodriguez, David R. Jacobs Jr, Pamela J. Schreiner, Farzaneh A. Sorond, Stephen Sidney, Cora Lewis, Lenore Launer, Guray Erus, Ilya M. Nasrallah, R. Nick Bryan, Adrienne N. Dula   +14 more
wiley   +1 more source

A NIRS–fMRI study of resting state network

NeuroImage, 2012
Resting state functional connectivity, which is defined as temporal correlation of spontaneous activity between diverse brain regions, has been reported to form resting state networks (RSNs), consisting of a specific set of brain regions, based on functional magnetic resonance imaging (fMRI).
Fumitaka Homae, Norihiro Sadato, Akihiro T. Sasaki, Akihiro T. Sasaki, Hama Watanabe, Hiroki C. Tanabe, Shuntaro Sasai, Gentaro Taga   +7 more
openaire   +2 more sources

Application of Machine Learning in the Diagnosis and Prognosis of Mild Traumatic Brain Injury Using Diffusion Tensor Imaging: A Systematic Review

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Traumatic Brain Injury (TBI) is a global health concern, with mild TBI (mTBI) being the most common form. Despite its prevalence, accurately diagnosing mTBI remains a significant challenge. While advanced neuroimaging techniques like diffusion tensor imaging (DTI) offer promise for more robust diagnosis, their clinical application ...
Christian John A. Saludar, Maryam Tayebi, Eryn Kwon, Joshua McGeown, William Schierding, Alan Wang, Justin Fernandez, Samantha Holdsworth, Vickie Shim   +8 more
wiley   +1 more source

Altered spontaneous brain activity in chronic smokers revealed by fractional ramplitude of low-frequency fluctuation analysis: a preliminary study

Scientific Reports, 2017
Although a substantial body of previous functional magnetic resonance imaging (fMRI) studies have revealed different brain responses to external stimuli in chronic cigarette smokers compared with nonsmokers, only a few studies assessed brain spontaneous ...
Chao Wang, Zhujing Shen, Peiyu Huang, Hualiang Yu, Wei Qian, Xiaojun Guan, Quanquan Gu, Yihong Yang, Minming Zhang   +8 more
doaj   +1 more source

Altered resting state networks in mild cognitive impairment and mild Alzheimer's disease: An fMRI study [PDF]

, 2005
Serge A.R.B. Rombouts, Frederik Barkhof, Rutger Goekoop, Cornelis J. Stam, Philip Scheltens   +4 more
openalex   +1 more source