Free-Water Correction in Diffusion MRI: A Reliable and Robust Learning Approach

Author(s):  
Leon Weninger ◽  
Simon Koppers ◽  
Chuh-Hyoun Na ◽  
Kerstin Juetten ◽  
Dorit Merhof
2021 ◽  
Vol 89 (9) ◽  
pp. S85
Author(s):  
Suheyla Cetin-Karayumak ◽  
Ofer Pasternak ◽  
Fan Zhang ◽  
Johanna Seitz ◽  
Doron Elad ◽  
...  

Author(s):  
Inês Carreira Figueiredo ◽  
Faith Borgan ◽  
Ofer Pasternak ◽  
Federico E. Turkheimer ◽  
Oliver D. Howes

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.


2010 ◽  
Vol 20 (2) ◽  
pp. 410-416 ◽  
Author(s):  
Niva Das ◽  
Aurobinda Routray ◽  
Pradipta Kishore Dash

2021 ◽  
Vol 53 ◽  
pp. S551-S552
Author(s):  
I. Carreira Figueiredo ◽  
F. Borgan ◽  
O. Pasternak ◽  
F.E. Turkheimer ◽  
O. Howes

Author(s):  
Antonio Tristán‐Vega ◽  
Guillem París ◽  
Rodrigo Luis‐García ◽  
Santiago Aja‐Fernández

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Md Nasir Uddin ◽  
Abrar Faiyaz ◽  
Lu Wang ◽  
Yuchuan Zhuang ◽  
Kyle D. Murray ◽  
...  

AbstractInitiation of combination antiretroviral therapy (cART) reduces inflammation in HIV-infected (HIV+) individuals. Recent studies demonstrated that diffusion MRI based extracellular free water (FW) modeling can be sensitive to neuroinflammation. Here, we investigate the FW in HIV-infection, its temporal evolution, and its association with blood markers, and cognitive scores. Using 96 age-matched participants, we found that FW was significantly elevated in grey and white matter in cART-naïve HIV+ compared to HIV-uninfected (HIV−) individuals at baseline. These increased FW values positively correlated with neurofilament light chain (NfL) and negatively correlated with CD4 counts. FW in grey and white matter, as well as NfL decreased in the HIV+ after 12 weeks of cART treatment. No significant FW differences were noted between the HIV+ and HIV− cohorts at 1 and 2-year follow-up. Results suggest that FW elevation in cART-naïve HIV+ participants is likely due to neuroinflammation. The correlation between FW and NfL, and the improvement in both FW and NfL after 12 weeks of cART treatment further reinforces this conclusion. The longer follow-up at 1 and 2 years suggests that cART helped control neuroinflammation as inferred by FW. Therefore, FW could be used as a biomarker to monitor HIV-associated neuroinflammation.


Author(s):  
Xiao Chang ◽  
René C.W. Mandl ◽  
Ofer Pasternak ◽  
Rachel M. Brouwer ◽  
Wiepke Cahn ◽  
...  
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