https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53841 Wed 28 Feb 2024 15:11:31 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40457 Wed 27 Jul 2022 11:14:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45093 Wed 26 Oct 2022 12:23:52 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45018 p < 0.001). There was a significant interaction between diagnosis and time in brain development (p < 0.001). This was expressed by a decrease in structural connectivity within the frontoparietal network—and its broader connectivity—in ASD during adolescence and early adulthood. Conversely, these connections increased with time in TDC. Crucially, stronger baseline connectivity in this subnetwork predicted a lower symptom load at follow-up (p = 0.048), independent of the expression of symptoms at baseline. Our findings suggest a clinically meaningful relationship between the atypical development of frontoparietal structural connections and the dynamics of the autism phenotype through early adulthood. These results highlight a potential marker of future outcome.]]> Wed 26 Oct 2022 10:17:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45591 Wed 25 Jan 2023 08:42:43 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49632 Wed 24 May 2023 14:14:39 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5714 Wed 24 Jul 2013 23:01:01 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42676 Wed 22 Mar 2023 14:34:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47414 Wed 18 Jan 2023 13:01:29 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37886 3 seconds and with clinical outcome measured using 3-month modified Rankin Scale. Results: A total of 732 ischemic stroke patients underwent computed tomography, 231 with transthoracic echocardiogram were included in part (1), 393 with outcome data were included in part (2). In part (1), 193/231 (83.5%) had normal LVEF (median 61%) and 38/231 (16.5%) decreased LVEF (median 39%). The low-LVEF group had significantly prolonged SO-EndAIF compared with normal-LVEF group (mean of 39.7 versus 26 second; P<0.001), and larger hypoperfusion lesions (94.9 versus 37.6 mL; P<0.001). SO-EndAIF time was strongly associated with EF, with an area under the curve of 0.86. Twenty nine seconds was the best threshold to distinguish between normal and impaired EF (area under the curve, 0.77). In part (2), the SO-EndAIF ≥29 second group had larger hypoperfusion volumes (21.8 versus 89.7 mL; P<0.001) and infarct core (12.2 versus 2.3 mL; P<0.0001) and patients with SO-EndAIF ≥29 seconds had fewer excellent or good clinical outcomes (modified Rankin Scale score 0–1; 40% versus 22%; OR, 2.79; P<0.001, modified Rankin Scale score 0–2; 65% versus 35%; OR, 1.41; P=0.033). Conclusions: AIF width correlates with ejection fraction in acute ischemic stroke. A 29-second threshold from scan onset to end of AIF accurately predicts reduced LVEF and identifies patients more likely to have worse outcomes after stroke.]]> Wed 17 Nov 2021 16:29:40 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37196 Wed 14 Jul 2021 10:28:45 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47116 Wed 14 Dec 2022 12:11:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44396 Wed 12 Oct 2022 12:58:24 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55652 Wed 12 Jun 2024 09:40:01 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29819 p = 0.017). All CTP core volume estimations showed robust correlation with DWI (Pearson p-value < 0.001). As core volume increased, CTP demonstrated increased deviation from DWI. At the critical cut-offs of 25 mL and 70 mL, relative CBF demonstrated the best agreement with DWI for infarct core compared to the other CTP-derived measures of infarct core. Conclusion: Our study demonstrates close approximation between multiple CTP-derived measures of infarct core and DWI infarct volume, Especially relative CBF.]]> Wed 11 Apr 2018 17:03:23 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16761 Wed 11 Apr 2018 16:55:34 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14032 Wed 11 Apr 2018 16:55:30 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27455 Wed 11 Apr 2018 16:35:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22505 Wed 11 Apr 2018 16:25:30 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15741 Wed 11 Apr 2018 16:00:46 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17031 8. Three percent had an Index of <4, placing them in the high risk category for disease. On average, adolescents from low or medium socioeconomic communities had a significantly lower omega-3 Index compared to those from higher socioeconomic neighbourhoods (mean difference=1.4, p=0.018). Overall 20% of boys and 17% of girls reported regularly taking omega-3 supplements. Regular use of omega-3 supplements was associated with a higher average omega-3 Index (9.8±3.7, n=44 compared to 8.0±3.0, n=203, p=0.001 in those not taking supplements). Conclusion: This study indicates that Australian adolescents, even when from advantaged homes, have a high probability of below optimum omega-3 levels. As reduced omega-3 levels are linked to conditions of public health concern such as diabetes, asthma and depression, targeted strategies to improve the omega-3 status in the childhood population may be warranted.]]> Wed 11 Apr 2018 14:39:31 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12761 Wed 11 Apr 2018 13:41:16 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13751 Wed 11 Apr 2018 12:40:01 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29331 Wed 11 Apr 2018 12:30:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22022 Wed 11 Apr 2018 12:28:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14801 Wed 11 Apr 2018 12:26:36 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:9764 Wed 11 Apr 2018 12:10:34 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8722 Wed 11 Apr 2018 11:13:25 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:14098 Wed 11 Apr 2018 09:13:50 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50212 Wed 06 Mar 2024 14:44:42 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29863 n = 296) who underwent 320-detector CT perfusion within 6 hours of the onset of ischemic stroke were studied. First, the ischemic volume at CT perfusion was compared with the penumbra and core reference values at magnetic resonance (MR) imaging to derive CT perfusion penumbra and core thresholds. Second, the thresholds were tested in a different group of patients to predict the final infarction at diffusion-weighted imaging 24 hours after CT perfusion. Third, the change in ischemic volume delineated by the optimal penumbra and core threshold was determined as the brain coverage was gradually reduced from 160 mm to 20 mm. The Wilcoxon signed-rank test, concordance correlation coefficient (CCC), and analysis of variance were used for the first, second, and third steps, respectively. Results: CT perfusion at penumbra and core thresholds resulted in the least volumetric difference from MR imaging reference values with delay times greater than 3 seconds and delay-corrected cerebral blood flow of less than 30% (P = .34 and .33, respectively). When the thresholds were applied to the new group of patients, prediction of the final infarction was allowed with delay times greater than 3 seconds in patients with no recanalization of the occluded artery (CCC, 0.96 [95% confidence interval: 0.92, 0.98]) and with delay-corrected cerebral blood flow less than 30% in patients with complete recanalization (CCC, 0.91 [95% confidence interval: 0.83, 0.95]). However, the ischemic volume with a delay time greater than 3 seconds was underestimated when the brain coverage was reduced to 80 mm (P = .04) and the core volume measured as cerebral blood flow less than 30% was underestimated when brain coverage was 40 mm or less (P < .0001). Conclusion: Correct threshold setting and whole-brain coverage CT perfusion allowed differentiation of the penumbra from the ischemic core in patients with acute ischemic stroke.]]> Wed 06 Apr 2022 14:00:29 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41422 Wed 03 Aug 2022 12:06:41 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34333 Wed 02 Mar 2022 14:24:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33632 Tue 27 Nov 2018 16:39:25 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54411 Tue 27 Feb 2024 13:54:50 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43840 Tue 21 Mar 2023 17:30:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30189 Hfe^−/−xTfr2^mut mouse model. This was accompanied by altered expression of a group of myelin-related genes, including a suite of genes causatively linked to the rare disease family ‘neurodegeneration with brain iron accumulation’ (NBIA). Expanded data mining and ontological analyses have now identified additional myelin-related transcriptome changes in response to brain iron loading. Concordance between the mouse transcriptome changes and human myelin-related gene expression networks in normal and NBIA basal ganglia testifies to potential clinical relevance. These analyses implicate, among others, genes linked to various rare central hypomyelinating leukodystrophies and peripheral neuropathies including Pelizaeus-Merzbacher-like disease and Charcot-Marie-Tooth disease as well as genes linked to other rare neurological diseases such as Niemann-Pick disease. The findings may help understand interrelationships of iron and myelin in more common conditions such as hemochromatosis, multiple sclerosis and various psychiatric disorders.]]> Tue 20 Aug 2024 11:20:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48296 Tue 14 Mar 2023 12:07:36 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:15128 Tue 13 Aug 2024 10:05:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48143 Tue 07 Mar 2023 11:18:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33669 Iba1, Gfap, IL1-β and TNF-α mRNA levels in the cingulate cortex (CC) in adult offspring exposed to maternal immune activation. Prenatal exposure to immune activation had a significant main effect on microglial IBA1-positive immunoreactive material (IBA1+IRM) in the corpus callosum; post-hoc analyses identified a significant increase in GD19 offspring, but not GD10. No change in was observed in the CC. In contrast, maternal immune activation had a significant main effect on GFAP+IRM in the CC at GD19 (not GD10); post-hoc analyses only identified a strong trend towards increased GFAP+IRM in the GD19 offspring, with no white matter changes. This suggests late gestation maternal immune activation causes subtle alterations to microglia and astrocytes in the adult offspring.]]> Tue 04 Jun 2019 13:36:19 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50043 Thu 29 Jun 2023 14:38:49 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45363 Thu 27 Oct 2022 11:46:23 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:537 Thu 25 Jul 2013 09:10:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:542 Thu 25 Jul 2013 09:10:24 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:666 Thu 25 Jul 2013 09:10:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42553 I ²=83.70%), mainly in primary education settings (g=0.48, 95% CI 0.07 to 0.89; I ²=90.43%). Academic performance, principally mathematics-related skills, was also increased by quality-based PE interventions (g=0.15, 95% CI 0.06 to 0.24; I ²=41.75%). Among these interventions, teaching strategies favoured similar results, but without heterogeneity in the results (g=0.12, 95% CI 0.05 to 0.18; I ²=0%). In contrast, quantity-based PE interventions had a very small and non-significant effect on academic performance (g=0.09, 95% CI -0.05 to 0.24; Q=11.65; I ²=48.48%). Finally, there were no differences between the three PE interventions (ie, quantity, quality, and combined PE interventions) in regard to academic performance. CONCLUSION: Improving the quality of PE classes may improve students' cognition and academic performance in children and adolescents. Importantly, allocating more time for PE does not seem to compromise this performance.]]> Thu 25 Aug 2022 11:47:15 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40024 Thu 21 Jul 2022 09:47:00 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40967 Thu 21 Jul 2022 08:38:13 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52651 Thu 19 Oct 2023 15:18:29 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6891 Thu 11 Jul 2019 12:22:46 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6892 Thu 11 Jul 2019 11:48:10 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36875 Thu 04 Nov 2021 10:38:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42682 Thu 01 Sep 2022 08:45:21 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8492 Sat 24 Mar 2018 08:37:40 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:12770 Sat 24 Mar 2018 08:18:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10036 Sat 24 Mar 2018 08:12:16 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10807 Sat 24 Mar 2018 08:11:50 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10479 Sat 24 Mar 2018 08:09:15 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17102 Sat 24 Mar 2018 08:02:32 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17996 Sat 24 Mar 2018 07:56:36 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19294 Sat 24 Mar 2018 07:56:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21853 Sat 24 Mar 2018 07:55:30 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5459 Sat 24 Mar 2018 07:48:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27304 Sat 24 Mar 2018 07:38:33 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25812 postmortem brain tissue, and later in studies of peripheral blood. The collective body of schizophrenia microarray literature contains apparent inconsistencies between studies, with failures to replicate top hits, in part due to small sample sizes, cohort-specific effects, differences in array types, and other confounders. In an attempt to summarize existing studies of schizophrenia cases and non-related comparison subjects, we performed two mega-analyses of a combined set of microarray data from postmortem prefrontal cortices (n = 315) and from ex-vivo blood tissues (n = 578). We adjusted regression models per gene to remove non-significant covariates, providing best-estimates of transcripts dysregulated in schizophrenia. We also examined dysregulation of functionally related gene sets and gene co-expression modules, and assessed enrichment of cell types and genetic risk factors. The identities of the most significantly dysregulated genes were largely distinct for each tissue, but the findings indicated common emergent biological functions (e.g. immunity) and regulatory factors (e.g., predicted targets of transcription factors and miRNA species across tissues). Our network-based analyses converged upon similar patterns of heightened innate immune gene expression in both brain and blood in schizophrenia. We also constructed generalizable machine-learning classifiers using the blood-based microarray data. Our study provides an informative atlas for future pathophysiologic and biomarker studies of schizophrenia.]]> Sat 24 Mar 2018 07:34:35 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30081 Sat 24 Mar 2018 07:31:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27526 Sat 24 Mar 2018 07:28:58 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26556 Sat 24 Mar 2018 07:26:14 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22857 Sat 24 Mar 2018 07:16:01 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24697 F0 = 0.017) and 3 months (Pr>F = 0.006), indicating more consistent and predictable improvement in motor outcomes. Conclusion: Early, more-intensive, UL training was associated with greater changes in activation in putative motor (supplementary motor area and cerebellum) and attention (anterior cingulate) regions, providing support for the role of these regions and functions in early recovery poststroke.]]> Sat 24 Mar 2018 07:10:53 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38383 Mon 29 Jan 2024 17:45:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31502 Mon 26 Aug 2024 14:11:16 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36591 Mon 26 Aug 2024 08:35:27 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33657 Mon 23 Sep 2019 12:11:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33605 Mon 23 Sep 2019 10:26:50 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36313 Mon 23 Aug 2021 12:41:47 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38706 Mon 17 Jan 2022 15:59:07 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50979 Mon 14 Aug 2023 15:25:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48737 Fri 31 Mar 2023 16:23:23 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51931 1.5 SD) in SA, 118 (7.47%) in CT and 161 (10.20%) in SV. Psychosis transition was not significantly associated with any measure of heterogeneity. Overall, our examination of neuroanatomical heterogeneity within the CHR-P state indicated greater divergence in neuroanatomical profiles at an individual level, irrespective of psychosis conversion. Further large-scale investigations are required of those who demonstrate marked deviation.]]> Fri 22 Sep 2023 11:07:30 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54844 Fri 15 Mar 2024 15:36:37 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33738 Fri 14 Dec 2018 14:49:06 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51559 Fri 08 Sep 2023 16:29:26 AEST ]]>