Clustering of short association white matter fibers calculated from diffusion MRI

2014 ◽  
Author(s):  
C. Roman ◽  
D. Le Bihan ◽  
C. Poupon ◽  
P. Guevara ◽  
A. Lebois ◽  
...  
Keyword(s):  
White Matter ◽  
Diffusion Mri

scholarly journals Functional and diffusion MRI reveal the neurophysiological basis of neonates’ noxious-stimulus evoked brain activity

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Luke Baxter ◽  
Fiona Moultrie ◽  
Sean Fitzgibbon ◽  
Marianne Aspbury ◽  
Roshni Mansfield ◽  
...  
Keyword(s):  
White Matter ◽  
Prediction Model ◽  
Resting State ◽  
Early Life ◽  
Diffusion Mri ◽  
Brain Activity ◽  
Noxious Stimulus ◽  
Noxious Stimulation ◽  
Human Connectome Project ◽  
And Diffusion

AbstractUnderstanding the neurophysiology underlying neonatal responses to noxious stimulation is central to improving early life pain management. In this neonatal multimodal MRI study, we use resting-state and diffusion MRI to investigate inter-individual variability in noxious-stimulus evoked brain activity. We observe that cerebral haemodynamic responses to experimental noxious stimulation can be predicted from separately acquired resting-state brain activity (n = 18). Applying this prediction model to independent Developing Human Connectome Project data (n = 215), we identify negative associations between predicted noxious-stimulus evoked responses and white matter mean diffusivity. These associations are subsequently confirmed in the original noxious stimulation paradigm dataset, validating the prediction model. Here, we observe that noxious-stimulus evoked brain activity in healthy neonates is coupled to resting-state activity and white matter microstructure, that neural features can be used to predict responses to noxious stimulation, and that the dHCP dataset could be utilised for future exploratory research of early life pain system neurophysiology.

scholarly journals Joint reconstruction of white-matter pathways from longitudinal diffusion MRI data with anatomical priors

NeuroImage ◽  
2016 ◽  
Vol 127 ◽  
pp. 277-286 ◽  
Author(s):  
Anastasia Yendiki ◽  
Martin Reuter ◽  
Paul Wilkens ◽  
H. Diana Rosas ◽  
Bruce Fischl
Keyword(s):  
White Matter ◽  
Diffusion Mri ◽  
Longitudinal Diffusion ◽  
Joint Reconstruction ◽  
Anatomical Priors

Characterizing Extracellular White Matter Pathologies Using Free Water Imaging Across the Schizophrenia Illness Course: A Multi-Site Harmonized Diffusion MRI Study

2021 ◽  
Vol 89 (9) ◽  
pp. S85
Author(s):  
Suheyla Cetin-Karayumak ◽  
Ofer Pasternak ◽  
Fan Zhang ◽  
Johanna Seitz ◽  
Doron Elad ◽  
...  
Keyword(s):  
White Matter ◽  
Diffusion Mri ◽  
Free Water ◽  
Mri Study

scholarly journals Review of diffusion MRI studies in chronic white matter diseases

2019 ◽  
Vol 694 ◽  
pp. 198-207 ◽  
Author(s):  
Rajikha Raja ◽  
Gary Rosenberg ◽  
Arvind Caprihan
Keyword(s):  
White Matter ◽  
Diffusion Mri ◽  
White Matter Diseases ◽  
Mri Studies

scholarly journals White-matter free-water diffusion MRI in schizophrenia: a systematic review and meta-analysis

2022 ◽  
Author(s):  
Inês Carreira Figueiredo ◽  
Faith Borgan ◽  
Ofer Pasternak ◽  
Federico E. Turkheimer ◽  
Oliver D. Howes
Keyword(s):  
White Matter ◽  
Healthy Volunteers ◽  
Diffusion Mri ◽  
Clinical Symptoms ◽  
Free Water ◽  
Brain Regions ◽  
Water Levels ◽  
First Episode ◽  
Whole Brain ◽  
Illness Duration

AbstractWhite-matter abnormalities, including increases in extracellular free-water, are implicated in the pathophysiology of schizophrenia. Recent advances in diffusion magnetic resonance imaging (MRI) enable free-water levels to be indexed. However, the brain levels in patients with schizophrenia have not yet been systematically investigated. We aimed to meta-analyse white-matter free-water levels in patients with schizophrenia compared to healthy volunteers. We performed a literature search in EMBASE, MEDLINE, and PsycINFO databases. Diffusion MRI studies reporting free-water in patients with schizophrenia compared to healthy controls were included. We investigated the effect of demographic variables, illness duration, chlorpromazine equivalents of antipsychotic medication, type of scanner, and clinical symptoms severity on free-water measures. Ten studies, including five of first episode of psychosis have investigated free-water levels in schizophrenia, with significantly higher levels reported in whole-brain and specific brain regions (including corona radiata, internal capsule, superior and inferior longitudinal fasciculus, cingulum bundle, and corpus callosum). Six studies, including a total of 614 participants met the inclusion criteria for quantitative analysis. Whole-brain free-water levels were significantly higher in patients relative to healthy volunteers (Hedge’s g = 0.38, 95% confidence interval (CI) 0.07–0.69, p = 0.02). Sex moderated this effect, such that smaller effects were seen in samples with more females (z = −2.54, p < 0.05), but antipsychotic dose, illness duration and symptom severity did not. Patients with schizophrenia have increased free-water compared to healthy volunteers. Future studies are necessary to determine the pathological sources of increased free-water, and its relationship with illness duration and severity.

scholarly journals Applying biophysical models to understand the role of white matter in cognitive development

2018 ◽  
Author(s):  
Elizabeth Huber ◽  
Rafael Neto Henriques ◽  
Julia P. Owen ◽  
Ariel Rokem ◽  
Jason D. Yeatman
Keyword(s):  
White Matter ◽  
Cognitive Development ◽  
Diffusion Mri ◽  
Reading Skill ◽  
Great Promise ◽  
Model Parameters ◽  
Biophysical Modeling ◽  
Tissue Properties ◽  
Biophysical Models ◽  
Specific Tissue

AbstractDiffusion MRI (dMRI) holds great promise for illuminating the biological changes that underpin cognitive development. The diffusion of water molecules probes the cellular structure of brain tissue, and biophysical modeling of the diffusion signal can be used to make inferences about specific tissue properties that vary over development or predict cognitive performance. However, applying these models to study development requires that the parameters can be reliably estimated given the constraints of data collection with children. Here we collect repeated scans using a multi-shell diffusion MRI protocol in a group of children (ages 7-12) and use two popular biophysical models to characterize axonal properties. We first assess the scan-rescan reliability of model parameters and show that axon water faction can be reliably estimated from a relatively fast acquisition, without applying spatial smoothing or de-noising. We then investigate developmental changes in the white matter, and individual differences in white matter that correlate with reading skill. Specifically, we test the hypothesis that previously reported correlations between reading skill and diffusion anisotropy in the corpus callosum reflect increased axon density in poor readers. Both models support this interpretation, highlighting the utility of biophysical models for testing specific hypotheses about cognitive development.

scholarly journals Diffusion MRI biomarkers of white matter microstructure vary nonmonotonically with increasing cerebral amyloid deposition

2020 ◽  
Vol 89 ◽  
pp. 118-128 ◽  
Author(s):  
Jian W. Dong ◽  
Ileana O. Jelescu ◽  
Benjamin Ades-Aron ◽  
Dmitry S. Novikov ◽  
Kent Friedman ◽  
...  
Keyword(s):  
White Matter ◽  
Diffusion Mri ◽  
Amyloid Deposition ◽  
White Matter Microstructure ◽  
Cerebral Amyloid
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