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McDonald, N.

Publications and source records attributed to McDonald, N..

2 recordsLinked to original sources

Altered Thalamocortical Connectivity in Six-Week Old Infants at High Familial Risk for Autism Spectrum Disorder

Converging evidence from neuroimaging studies has revealed altered connectivity in cortical-subcortical networks in youth and adults with autism spectrum disorder (ASD). Comparatively little is known about the development of cortical-subcortical connectivity in infancy, before the emergence of overt ASD symptomatology. Here we examined early functional and structural connectivity of thalamocortical networks in infants at high familial risk for ASD (HR) and lowrisk controls (LR). Resting-state functional connectivity (rs-fcMRI) and diffusion tensor imaging (DTI) data were acquired 52 six-week-old infants. Functional connectivity was examined between six cortical seeds -prefrontal, motor, somatosensory, temporal, parietal, and occipital regions- and bilateral thalamus. We found significant thalamic-prefrontal underconnectivity, as well as thalamic-occipital and thalamic-motor overconnectivity in HR infants, relative to LR infants. Subsequent structural connectivity analyses also revealed atypical white matter integrity in thalamic-occipital tracts in HR infants, compared to LR infants. Notably, aberrant rs-fcMRI and DTI connectivity indices at 6 weeks predicted atypical social development between 6 and 36 months of age, as assessed with eye-tracking and diagnostic measures. These findings indicate that thalamocortical connectivity is disrupted at both the functional and structural level in HR infants as early as six weeks of age, providing a possible early marker of risk for ASD.

neuroscience↗

Non-invasive Assessment of Liver Disease in Rats Using Multiparametric Magnetic Resonance Imaging: A Feasibility Study

Background & AimsNon-invasive quantitation of chronic liver disease using multiparametric MRI has the potential to refine clinical care pathways, trial design and preclinical drug development. The aim of the study was to evaluate the use of multiparametric liver MRI in experimental rat models of chronic liver disease. Methods: Liver injury was induced in male wild-type Sprague-Dawley rats using 4 or 12 weeks carbon tetrachloride (CCl4) intoxication and 4 or 8 weeks methionine and choline deficient (MCD) diet. Liver MRI was performed using a 7.0 Tesla small animal scanner at baseline and specified timepoints after liver injury. Multiparametric liver MRI parameters (T1 mapping, T2* mapping and proton density fat fraction (PDFF)) were correlated with gold standard histopathological measures, assessed by a blinded expert adjudicator. One-way analysis of variance with Tukeys post-hoc test was used to assess differences between groups and Spearmans rank-order correlation to examine associations.\n\nResultsMean hepatic T1 increased significantly in rats treated with CCl4 for 12 weeks compared to controls (1122{+/-}78 ms vs. 959{+/-}114 ms; d=162.7, 95% CI (11.92, 313.4), P=0.038) and correlated strongly with histological collagen content (rs=0.717, P=0.037). In MCD diet-treated rats, hepatic PDFF correlated strongly with histological fat content (rs=0.819, P<0.0001), steatosis grade (rs=0.850, P<0.0001) and steatohepatitis score (rs=0.818, P<0.0001). Although there was minimal histological iron, progressive fat accumulation in MCD diet-treated liver significantly shortened T2*.\n\nConclusionsIn preclinical models, quantitative MRI markers correlated with histopathological assessments, especially for fatty liver disease. Validation in longitudinal studies is required.\n\nKey pointsO_LINon-invasive quantitative measures of chronic liver injury are needed for stratification and monitoring of disease in clinical practice and in drug development\nC_LIO_LIWe adapted and applied a clinically-relevant non-contrast multiparametric MRI protocol in well-established preclinical liver disease models, for simultaneous quantitation of hepatic fat, fibro-inflammatory injury and iron\nC_LIO_LIMultiparametric liver MRI was feasible at 7.0 Tesla in experimental rat models and imaging parameters correlated with gold standard histopathological assessments, especially characteristics of fatty liver disease\nC_LIO_LIFurther development of multiparametric liver MRI could refine drug development strategies and impact upon trial design and clinical care pathways\nC_LI

pathology↗