Results 61 to 70 of about 288,901 (266)

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

The Relationship between the Improvement Level in Blood Gas Parameters in Time and Brain MRI Findings in Newborns with the Diagnosis of Hypoxic Ischemic Encephalopathy

Turkish Archives of Pediatrics
Objective: In this study, we aimed to evaluate the relationship between the level of improvement in blood gas parameters in the first hours of age and normal and diffusion-restriction brain magnetic resonance imaging (MRI).
Aslan Yilmaz, Abdulkerim Uygur, Barıs Celik, Ali Metin Akdag, Demet Baser, Sureyya Ipek Ozturk   +5 more
doaj   +1 more source

Gibbs ringing in diffusion MRI [PDF]

Magnetic Resonance in Medicine, 2015
PurposeTo study and reduce the effect of Gibbs ringing artifact on computed diffusion parameters.MethodsWe reduce the ringing by extrapolating the k‐space of each diffusion weighted image beyond the measured part by selecting an adequate regularization term. We evaluate several regularization terms and tune the regularization parameter to find the best
Veraart, Jelle, Fieremans, Els, Jelescu, Ileana O., Knoll, Florian, Novikov, Dmitry S.   +4 more
openaire   +3 more sources

Unenhanced whole-body MRI versus PET-CT for the detection of prostate cancer metastases after primary treatment [PDF]

, 2016
The aim of this study was to evaluate the accuracy of unenhanced whole-body MRI, including whole-body Diffusion Weighted Imaging (DWI), used as a diagnostic modality to detect  pathologic lymph nodes and skeletal metastases in patients with prostate ...
AL ANSARI, Najwa, Barchetti, Flavio, Barchetti, Giovanni, Catalano, Carlo, Marini, Alessandra, Megna, Valentina, Monti, M. L, Musio, D, Panebianco, Valeria, Stagnitti, Andrea, Tombolini, Vincenzo   +10 more
core  

Glymphatic Dysfunction Reflects Post‐Concussion Symptoms: Changes Within 1 Month and After 3 Months

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mild traumatic brain injury (mTBI) may alter glymphatic function; however, its progression and variability remain obscure. This study examined glymphatic function following mTBI within 1 month and after 3 months post‐injury to determine whether variations in glymphatic function are associated with post‐traumatic symptom severity ...
Eunkyung Kim, Han Gil Seo, Roh‐Eul Yoo, Byung‐Mo Oh   +3 more
wiley   +1 more source

Machine learning diagnosis of mild cognitive impairment using advanced diffusion MRI and CSF biomarkers

Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
INTRODUCTION Machine learning applied to neuroimaging can help with medical diagnosis and early detection by identifying biomarkers of subtle changes in brain structure and function.
Alexander Y. Guo, John P. Laporte, Kavita Singh, Jonghyun Bae, Keagan Bergeron, Angelique deRouen, Noam Y. Fox, Nathan Zhang, Isabel Carino‐Bazan, Mary E. Faulkner, Rafael deCabo, Dan Benjamini, Zhaoyuan Gong, Mustapha Bouhrara, for the Alzheimer's Disease Neuroimaging Initiative   +14 more
doaj   +1 more source

Prostate carcinoma: Accuracy of diagnosis and differentiation with Dynamic Contrast-Enhanced MRI and Diffusion Weighted Imaging

The Egyptian Journal of Radiology and Nuclear Medicine, 2015
Background: Diffusion weighted image (DWI) and dynamic contrast enhanced MR imaging (DCE-MRI) provide excellent parameters that are useful for differentiating cancer from normal tissue in prostatic cancer patients. Purpose: To define the diagnostic value
Sayed Zidan, Hazim I. Tantawy
doaj   +1 more source

Diffusion MRI with machine learning

Imaging Neuroscience
Abstract Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique capabilities including noninvasive probing of tissue microstructure and structural connectivity. It is widely used for clinical assessment of disease and injury, and for neuroscience research. Analyzing the dMRI data to extract useful information for
Karimi, Davood, Warfield, Simon K.
openaire   +3 more sources

Effects of nongaussian diffusion on "isotropic diffusion measurements'': an ex-vivo microimaging and simulation study

, 2019
Designing novel diffusion-weighted pulse sequences to probe tissue microstructure beyond the conventional Stejskal-Tanner family is currently of broad interest.
Ianuş, Andrada, Jespersen, Sune Nørhøj, Olesen, Jonas Lynge, Shemesh, Noam   +3 more
core   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +1 more source