https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41044 Wed 28 Feb 2024 14:45:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44378 n = 12) aged 18–35 years completed two fMRI scans (fasted and fed) while viewing high-calorie food images and low-calorie food images. Food addiction symptoms were assessed using the Yale Food Addiction Scale. Associations between FA symptoms and activation of the BLA and central amygdala were tested using bilateral masks and small-volume correction procedures in multiple regression models, controlling for BMI. Participants were 24.1 ± 2.6 years, with mean BMI of 27.4 ± 5.0 kg/m2 and FA symptom score of 4.1 ± 2.2. A significant positive association was identified between FA symptoms and higher activation of the left BLA to high-calorie versus low-calorie foods in the fasted session, but not the fed session. There were no significant associations with the central amygdala in either session. This exploratory study provides pilot data to inform future studies investigating the neural mechanisms underlying FA.]]> Wed 12 Oct 2022 11:14:14 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22990 Wed 11 Apr 2018 13:38:48 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7853 Wed 11 Apr 2018 12:08:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:14529 18 years old, reported weight status, and included fMRI outcomes. Sixty studies were identified that investigated the neural responses of healthy weight participants (n = 26), healthy weight compared to obese participants (n = 17), and weight-loss interventions (n = 12). High-calorie food images were used in the majority of studies (n = 36), however, image selection justification was only provided in 19 studies. Obese individuals had increased activation of reward-related brain areas including the insula and orbitofrontal cortex in response to visual food cues compared to healthy weight individuals, and this was particularly evident in response to energy dense cues. Additionally, obese individuals were more responsive to food images when satiated. Meta-analysis of changes in neural activation post-weight loss revealed small areas of convergence across studies in brain areas related to emotion, memory, and learning, including the cingulate gyrus, lentiform nucleus, and precuneus. Differential activation patterns to visual food cues were observed between obese, healthy weight, and weight-loss populations. Future studies require standardization of nutrition variables and fMRI outcomes to enable more direct comparisons between studies.]]> Wed 11 Apr 2018 10:57:34 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:9550 Wed 11 Apr 2018 09:38:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7855 Wed 11 Apr 2018 09:36:20 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41122 Tue 26 Jul 2022 14:31:29 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47620 Tue 24 Jan 2023 13:48:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:1711 Sat 24 Mar 2018 08:27:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:1772 Sat 24 Mar 2018 08:27:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19908 max) with PH was examined using receiver operating characteristic analysis and multivariate logistic regression. Result: Of 132 patients, 70 were treated with thrombolysis, and 14 (10.6%) developed PH on follow-up imaging. Baseline National Institutes of Health Stroke Scale score (P=0.033) and thrombolysis (P=0.003) were both predictive of PH. Receiver operating characteristic analysis revealed that T_max>14 s (area under the curve=0.748; P=0.002) and relative cerebral blood flow <30% of contralateral mean (area under the curve=0.689, P=0.021) were the optimal thresholds, and the Bayesian information criterion (+2.6) indicated that T_max was more strongly associated with PH than relative cerebral blood flow. T_{max14 s volumes of >5 mL allowed prediction of PH with sensitivity of 79%, specificity of 68%, and negative likelihood ratio of 3.16. Tmax>14 s volume and thrombolysis were both independently predictive of PH in a multivariate logistic regression model (P<0.05). Conclusions: Tmax >14 s was the CTP parameter most strongly associated with PH. This outperformed relative cerebral blood flow <30%, which closely equates to CTP estimates of ischemic core volume. Although ischemic core volume on CTP is useful in the pretreatment prediction of PH, severe hypoperfusion on Tmax is more strongly associated and may allow better prediction of the likely anatomic location of hemorrhage.]]>} Sat 24 Mar 2018 08:03:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:18852 Sat 24 Mar 2018 08:03:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21023 Sat 24 Mar 2018 07:50:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47543 Mon 23 Jan 2023 12:29:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37633 Mon 20 Nov 2023 15:47:52 AEDT ]]>