LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "structural mri" as a keyword



Photo by sarahsosiak from unsplash

Method for retrospective estimation of natural head movement during structural MRI

Sign Up to like & get
recommendations! Published in 2018 at "Journal of Magnetic Resonance Imaging"

DOI: 10.1002/jmri.25959

Abstract: Head motion during brain structural MRI scans biases brain morphometry measurements but quantitative retrospective methods estimating head motion from structural MRI have not been evaluated. read more here.

Keywords: head; structural mri; method retrospective; estimation natural ... See more keywords
Photo from wikipedia

In vivo estimation of normal amygdala volume from structural MRI scans with anatomical-based segmentation

Sign Up to like & get
recommendations! Published in 2017 at "Surgical and Radiologic Anatomy"

DOI: 10.1007/s00276-017-1915-y

Abstract: PurposeLiterature includes a number of studies using structural MRI (sMRI) to determine the volume of the amygdala, which is modified in various pathologic conditions. The reported values vary widely mainly because of different anatomical approaches… read more here.

Keywords: normal amygdala; based segmentation; volume; structural mri ... See more keywords
Photo from wikipedia

Transient structural MRI patterns correlate with the motor functions in preterm infants

Sign Up to like & get
recommendations! Published in 2021 at "Brain and Development"

DOI: 10.1016/j.braindev.2020.11.002

Abstract: AIM To explore the relationships between transient structural brain patterns on MRI at preterm and at term-equivalent age (TEA) as a predictor of general movements (GMs) and motor development at 1-year corrected age (CA) in… read more here.

Keywords: structural mri; age; motor; preterm infants ... See more keywords

Differentiating between bipolar and unipolar depression in functional and structural MRI studies

Sign Up to like & get
recommendations! Published in 2019 at "Progress in Neuro-Psychopharmacology and Biological Psychiatry"

DOI: 10.1016/j.pnpbp.2018.03.022

Abstract: &NA; Distinguishing depression in bipolar disorder (BD) from unipolar depression (UD) solely based on clinical clues is difficult, which has led to the exploration of promising neural markers in neuroimaging measures for discriminating between BD… read more here.

Keywords: depression; functional structural; structural mri; mri studies ... See more keywords
Photo by schluditsch from unsplash

Machine Learning Classification of First-Onset Drug-Naive MDD Using Structural MRI

Sign Up to like & get
recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2949128

Abstract: It is hard to differentiate adolescent Major Depressive Disorder (MDD) patients from healthy adolescent controls based on structural MRI research findings, as the clinical characteristics of the patient group are heterogeneous, and the neuroimaging study… read more here.

Keywords: structural mri; first onset; onset drug; mdd ... See more keywords
Photo from wikipedia

Limited utility of structural MRI to identify the epileptogenic zone in young children with tuberous sclerosis

Sign Up to like & get
recommendations! Published in 2022 at "Journal of Neuroimaging"

DOI: 10.1111/jon.13016

Abstract: The success of epilepsy surgery in children with tuberous sclerosis complex (TSC) hinges on identification of the epileptogenic zone (EZ). We studied structural MRI markers of epileptogenic lesions in young children with TSC. read more here.

Keywords: young children; structural mri; epileptogenic zone; children tuberous ... See more keywords
Photo from wikipedia

P284 Predicting motor deficits in children with cerebral palsy

Sign Up to like & get
recommendations! Published in 2017 at "Archives of Disease in Childhood"

DOI: 10.1136/archdischild-2017-313273.372

Abstract: Of the Ministry of Health of the Russian Federation Background Diffusion-tensor MRI and tractography allow to receive qualitative (visualisation) and quantitative tissue characteristics open new possibilities for studies of microstructure pathways of the brain in… read more here.

Keywords: cerebral palsy; structural mri; palsy; p284 predicting ... See more keywords
Photo from wikipedia

Structural MRI correlates of PASAT performance in multiple sclerosis

Sign Up to like & get
recommendations! Published in 2018 at "BMC Neurology"

DOI: 10.1186/s12883-018-1223-0

Abstract: BackgroundThe Paced Auditory Serial Addition Test (PASAT) is a useful cognitive test in patients with multiple sclerosis (MS), assessing sustained attention and information processing speed. However, the neural underpinnings of performance in the test are… read more here.

Keywords: structural mri; mri correlates; multiple sclerosis; pasat performance ... See more keywords

Revealing the Timeline of Structural MRI Changes in Premanifest to Manifest Huntington Disease

Sign Up to like & get
recommendations! Published in 2021 at "Neurology: Genetics"

DOI: 10.1212/nxg.0000000000000617

Abstract: Background and Objectives Longitudinal measurements of brain atrophy using structural MRI (sMRI) can provide powerful markers for tracking disease progression in neurodegenerative diseases. In this study, we use a disease progression model to learn individual-level… read more here.

Keywords: disease progression; huntington disease; premanifest manifest; error years ... See more keywords
Photo from wikipedia

The Combination of Functional and Structural MRI Is a Potential Screening Tool in Alzheimer’s Disease

Sign Up to like & get
recommendations! Published in 2018 at "Frontiers in Aging Neuroscience"

DOI: 10.3389/fnagi.2018.00251

Abstract: Introduction: This study aimed to survey the discrimination power of parameters from cerebrospinal fluid (CSF) biomarkers, fluorodeoxyglucose uptake on PET (FDG-PET), structural magnetic resonance imaging (MRI), and functional MRI in high- and low-risk subjects or… read more here.

Keywords: structural mri; alzheimer disease; fdg pet; risk subjects ... See more keywords
Photo from wikipedia

A Reparametrized CNN Model to Distinguish Alzheimer's Disease Applying Multiple Morphological Metrics and Deep Semantic Features From Structural MRI

Sign Up to like & get
recommendations! Published in 2022 at "Frontiers in Aging Neuroscience"

DOI: 10.3389/fnagi.2022.856391

Abstract: It is of potential clinical value to improve the accuracy of Alzheimer's disease (AD) recognition using structural MRI. We proposed a reparametrized convolutional neural network (Re-CNN) to discriminate AD from NC by applying morphological metrics… read more here.

Keywords: structural mri; alzheimer disease; model; semantic features ... See more keywords