https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42662 Wed 31 Aug 2022 13:51:25 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43692 Wed 28 Sep 2022 09:26:49 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50323 Wed 28 Feb 2024 16:19:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53841 Wed 28 Feb 2024 15:11:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53165 Wed 28 Feb 2024 15:08:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52050 1.1 million by 2058.2 The annual care costs are estimated to increase from $9.1 billion in 2017 to A$24.1 billion by 2056.3 Currently, there is a lack of a single valid and reliable data source for dementia identification. Welberry et al. recently demonstrated the feasibility of linking large population-based cohorts to administrative datasets to identify dementia cases at different stages of their trajectory.4 The Addressing Dementia Through Analysis of Population Traits and Risk Factors (ADAPTOR) project links data from a large Australian cohort study (followed up for 15 years) to various administrative health datasets. While the project links the same cohort study (the Sax Institute’s 45 And Up Study) and administrative datasets for dementia identification, it expands on Welberry et al.’s study by extending the data cut-off period from June 2014 to June 2018; including additional datasets and participants aged between 45–54 years; and stratifying data by sex and age group. The ADAPTOR project estimates dementia incidence, investigates the association between risk factors and incidence, and models the impact of modifiable risk factor reduction (e.g. increased physical activity, reduced alcohol consumption) on population-level dementia incidence. This paper presents preliminary findings from the project on sex and age-specific incidence of dementia and presents the most common data sources for dementia identification.]]> Wed 27 Sep 2023 15:29:45 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52034 Wed 27 Sep 2023 10:00:21 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36495 Wed 27 May 2020 15:41:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45158 N = 70) who had experienced a stroke between 5 months and 28 years ago were included in the cross-sectional study, along with age-matched controls (N = 70). We measured stress using both the Perceived Stress Scale and biological markers, and resilience using both the Brief Resilience Scale and the Connor-Davidson Resilience Scale. Stroke outcomes were assessed using the Stroke Impact Scale. We found that, compared with age-matched controls, stroke survivors reported greater levels of perceived stress, and lower levels of resilience. In stroke survivors, both perceived stress and resilience were independently associated with stroke outcomes in linear regression models. In particular, these relationships were observed for cognitive outcomes including mood, memory, and communication. The association between stress and stroke outcome did not differ across time post stroke. Given that resilience is a modifiable psychological construct, future research may consider whether strategies directed at enhancing resilience may improve recovery from stroke. Australia and New Zealand Clinical Trials Registry: ACTRN12617000736347.]]> Wed 26 Oct 2022 19:17:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45215 n = 541, 43% female) from 20 secondary schools who completed tests of inhibition (modified flanker task), working memory (n-back task), CRF (Progressive Aerobic Cardiovascular Endurance Run), and MF (standing long jump and push-up test). Multilevel analyses tested the association between CRF or MF and cognitive outcomes while accounting for the influence of the other fitness variable and relevant demographic factors. Results: CRF predicted response accuracy during incongruent flanker trials, the condition requiring greater inhibition. For the working memory task, CRF predicted greater target accuracy and greater d' scores on the 1-back task, requiring lesser amounts of working memory. In the 2-back task, which requires greater amounts of working memory, CRF also predicted greater target and non-target accuracy and d' scores. Comparatively, MF did not predict any cognitive outcomes after adjustment for CRF. Conclusion: CRF was selectively related to better performance during task conditions that require greater amounts of inhibition and working memory. This finding suggests that CRF, but not MF, may benefit cognitive control in older adolescents. This selective influence of CRF on older adolescents’ cognition highlights the value of aerobic physical activity.]]> Wed 26 Oct 2022 14:53:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50471 Wed 26 Jul 2023 15:35:38 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33724 Wed 24 May 2023 12:09:06 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42510 0.05). High ratings of participant satisfaction (4.73), enjoyment (4.54) and perceived value (4.54) were observed. Conclusion: This study demonstrates the efficacy and feasibility of delivering a novel HIIT program in the university setting.]]> Wed 24 Aug 2022 09:46:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51178 Wed 24 Apr 2024 12:15:17 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38853 r = 0.3–0.5; P ≤ 0.05). Total ARCS predicts cognitive impairment with good sensitivity and specificity relative to the BICAMS tests (AUC = 0.8; P = 0.00045). Total ARCS detects higher levels of impairment than BICAMS in MS patients (44% versus 21%). The memory domain of the ARCS and the BVMT-R were the best predictors of employment status (OR = 1.12 and 1.14, P  < 0.05). Conclusion: BICAMS and ARCS have comparable sensitivity for cognitive impairment in MS. Memory assessment from either tests is the best predictor of employment status; however, the BICAMS is a better predictor of work productivity.]]> Wed 23 Nov 2022 15:41:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53323 Wed 22 Nov 2023 10:05:03 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54880 Wed 20 Mar 2024 13:17:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37127 Wed 19 Aug 2020 12:24:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48907 Wed 19 Apr 2023 16:20:24 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30907 2) consumed their habitual diet ± high-oleic peanuts (56–84 g/day), each for 12 weeks. Nutrient intakes, vascular and cognitive function were assessed at baseline and at the end of each 12-week phase. Differences between the ends of each phase were compared by general linear repeated measures ANOVA controlling for baseline. Pearson's correlation analyses determined relationships between differences in cerebrovascular reactivity (CVR) and cognitive function. Results: Intakes of bioactive nutrients increased during the peanut phase. CVR was 5% greater in the left middle cerebral artery (MCA) and 7% greater in the right MCA. Small artery elasticity was 10% greater after peanut consumption; large artery elasticity and blood pressure did not differ between phases. Measures of short-term memory, verbal fluency, and processing speed were also higher following the peanut phase; other cognitive measures did not change. Differences in CVR in the left MCA correlated with differences in delayed memory and recognition. Discussion: Regular peanut consumption improved cerebrovascular and cognitive function; increased intakes of bioactive nutrients may have mediated these improvements.]]> Wed 17 Nov 2021 16:31:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51035 Wed 16 Aug 2023 10:17:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45952 Wed 13 Mar 2024 14:13:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39761 Wed 13 Mar 2024 14:03:11 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33716 Wed 12 Dec 2018 14:03:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52409 Wed 11 Oct 2023 11:58:45 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29954 Wed 11 Apr 2018 14:59:37 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25750 Wed 11 Apr 2018 13:56:27 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27816 Wed 11 Apr 2018 11:28:14 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24444 Wed 11 Apr 2018 10:16:26 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28572 Wed 11 Apr 2018 09:20:12 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50022 Wed 10 Apr 2024 15:07:57 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49147 Wed 07 Feb 2024 15:06:36 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44475 Wed 06 Sep 2023 10:49:18 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47267 Wed 06 Mar 2024 15:38:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51098 Wed 06 Mar 2024 14:33:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33578 Wed 04 Sep 2019 09:48:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38158 2) or obese weight (OB: BMI ≥30.0 kg/m²). Participants completed a computer-based cognition testing battery (IntegNeuro™) evaluating the domains of impulsivity, attention, information processing, memory and executive function. The Omega-3 Index (O3I) was used to determine n-3 PUFA status (percentage of EPA (20:5n-3) plus DHA (22:6n3) in the red cell membrane) and the participants were divided into O3I tertile groups: T1 < 5.47%, T2 = 5.47–6.75%, T3 > 6.75%. Potential confounding factors of BMI, inflammatory status (C-reactive Protein), physical activity (total MET-min/wk), alpha1-acid glycoprotein, serum ferritin and hemoglobin, were assessed. Data reported as z-scores (mean ± SD), analyses via ANOVA and ANCOVA. Results: Two hundred ninety-nine women (26.9 ± 5.4 y) completed the study (O3I data, n = 288). The ANOVA showed no overall group differences but a significant group × cognition domain interaction (p < 0.01). Post hoc tests showed that participants in the low O3I tertile group scored significantly lower on attention than the middle group (p = 0.01; ES = 0.45 [0.15–0.74]), while the difference with the high group was borderline significant (p = 0.052; ES = 0.38 [0.09–0.68]). After confounder adjustments, the low group had lower attention scores than both the middle (p = 0.01) and high (p = 0.048) groups. These findings were supported by univariate analyses which found significant group differences for the attention domain only (p = 0.004). Conclusions: Cognitive function in the attention domain was lower in women with lower O3I, but still within normal range. This reduced but normal level of cognition potentially provides a lower baseline from which cognition would decline with age. Further investigation of individuals with low n-3 PUFA status is warranted.]]> Wed 04 Aug 2021 18:23:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30955 Wed 02 Oct 2019 10:21:46 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52900 Tue 31 Oct 2023 15:46:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46727 r = 0.75, P < 0.001). Neither apathy nor depression scores were significantly associated with scores on either the RBANS or ARCS. Conclusions: The ARCS was acceptable and convenient in the assessment of cognition in patients undergoing treatment with ECT. In light of its practical advantages, further evaluation of the ARCS for detecting cognitive impairment and tracking cognitive changes during ECT seems warranted.]]> Tue 29 Nov 2022 11:41:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46689 Tue 29 Nov 2022 09:35:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46676 Tue 29 Nov 2022 09:28:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33632 Tue 27 Nov 2018 16:39:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38034 Tue 27 Jul 2021 12:36:14 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:32789 Tue 24 Jul 2018 11:13:17 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53296 Tue 21 Nov 2023 11:54:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43320 Tue 21 Mar 2023 18:41:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51802 Tue 19 Sep 2023 09:01:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52536 Tue 17 Oct 2023 10:05:27 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41379 Tue 04 Apr 2023 19:08:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33024 Tue 03 Sep 2019 18:31:17 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30396 Tue 03 Sep 2019 18:01:23 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33423 Tue 03 Sep 2019 18:01:18 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32053 Tue 03 Sep 2019 17:54:08 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35012 Thu 30 May 2019 15:19:56 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36994 Thu 30 Jul 2020 14:04:14 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46394 Thu 29 Jun 2023 14:18:00 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45400 Thu 27 Oct 2022 17:36:16 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31008 30 kg/m 2 ). Participants completed a validated, computer-based cognition assessment evaluating impulsivity, attention, information processing, memory and executive function; CF reported as z-scores (mean ± SD). Iron status and CF were compared between groups via ANOVA, with adjustment for potential confounders (BMI, physical activity, C-reactive protein) via ANCOVA. A total of 157 NW and 142 OB women (25.8 ± 5.1 years) participated. Prevalence of ID and IDA were 14% and 6% respectively, with no significant difference between NW and OB groups. Women with IDA scored significantly lower on attention (although within normal range; ±1 z-score), compared to ID (IDA: -0.75 ± 1.89; ID: 0.53 ± 1.37; p = 0.004) but not IR (0.03 ± 1.33, p = 0.21) groups; there were no significant differences between ID and IR groups (p = 0.34). Adjustment for confounders did not significantly alter these results. In conclusion, women with IDA showed significantly reduced attention compared to women with ID.]]> Thu 27 Jan 2022 15:59:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36312 Thu 26 Mar 2020 07:07:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25914 Thu 17 Mar 2022 14:37:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34724 Thu 17 Feb 2022 09:27:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38621 Thu 14 Mar 2024 12:16:11 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38620 Thu 14 Mar 2024 12:12:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33090 Thu 13 Jan 2022 10:30:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38194 Thu 12 Aug 2021 09:04:52 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45852 Thu 08 Dec 2022 14:49:41 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54644 Thu 07 Mar 2024 12:47:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50191 Thu 06 Jul 2023 14:41:26 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33106 0.05). Conclusions: Stroke survivors with nonresolving fatigue reported reduced fatigue and improved quality of life after taking 200 mg daily treatment with modafinil.]]> Thu 03 Feb 2022 12:21:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29880 Sat 24 Mar 2018 07:33:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29585 Sat 24 Mar 2018 07:32:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29582 Sat 24 Mar 2018 07:32:07 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29189 Sat 24 Mar 2018 07:31:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30079 Sat 24 Mar 2018 07:31:17 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28337 0.05) in psychomotor performance at different time points were observed. Response time was significantly improved when running above 65% of maximal sprinting speed (P < 0.01). This data questions the application of the inverted-U hypothesis for intermittent exercise and suggests that the short high-intensity efforts may not result in the same physiological events that limit psychomotor performance during sustained high-intensity exercise. More so, the high-intensity efforts during the match protocol appeared to promote psychomotor performance during the intermittent exercise.]]> Sat 24 Mar 2018 07:25:14 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24781 Sat 24 Mar 2018 07:14:06 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33803 Mon 23 Sep 2019 13:59:39 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27550 Mon 23 Sep 2019 12:54:50 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32851 Mon 23 Sep 2019 12:33:59 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50094 Mon 17 Jul 2023 10:30:00 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46183 Mon 14 Nov 2022 10:13:02 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38647 Mon 06 Dec 2021 16:41:16 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40120 Fri 29 Jul 2022 08:56:57 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45423 Fri 28 Oct 2022 11:41:17 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33943 Fri 25 Jan 2019 09:13:02 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25422 Fri 22 Apr 2022 10:34:13 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29834 Fri 22 Apr 2022 10:24:15 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44722 Fri 21 Oct 2022 11:24:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38827 p < 0.047), whereas the measure of executive functioning was uniquely accounted for by the presence of hypertension and angina (all p < 0.032). Increased stroke risk also predicted performance on the cognitive screening test and the measure of executive functioning (all p < 0.002). Conclusions: Our findings indicate that cognitive impairment following a minor stroke or TIA may be attributed to the high prevalence of chronic vascular risk factors in these patients. This highlights the importance of long-term management of vascular risk factors beyond event recovery to reduce the risk of cognitive impairment. Increased stroke risk (i.e., ABCD2 score) was also associated with reduced cognition, suggesting that it may be helpful in signaling the need for further cognitive evaluation and intervention post-event.]]> Fri 20 May 2022 12:40:50 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39711 Fri 17 Jun 2022 17:10:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47213 Fri 16 Dec 2022 10:09:24 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51704 Fri 15 Sep 2023 13:56:01 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54854 Fri 15 Mar 2024 17:16:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40011 p > .05), though the estimates of effect were consistently negative. Global DNA methylation levels in males were significantly higher than in females (median %5mC: 1.82 vs. 1.03, males and females, respectively, (p < .05)). Conclusion: No association was found between global DNA methylation and child cognition and behavior; however given the small sample, this study should be pooled with other cohorts in future meta-analyses.]]> Fri 15 Jul 2022 10:09:55 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41765 Fri 12 Aug 2022 11:49:26 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46137 n = 149). Assessments occurred at 20 months post-stroke, using the Mini Mental State Examination and serum blood levels of cholesterol, low density lipoprotein, high density lipoprotein and serum triglycerides. Results: Hierarchical linear regression showed that only acute functional impairment significantly contributed to long-term cognitive impairment in stroke survivors. Only 12% of the sample showed healthy cholesterol levels while the remaining patients showed borderline or high cholesterol levels. In terms of BMI, only 2% of the sample were underweight, 38% were within healthy range and 26% were overweight/obese. Only eight women and four men were smokers, therefore our sample of smokers was likely too small to detect any differences between smokers and non-smokers in regard to cognitive outcomes. Conclusion: Serum cholesterol, low density lipoprotein, high density lipoprotein, serum triglycerides, BMI or smoking status did not influence cognitive outcomes in older stroke surviving individuals. These findings suggest that modification of these factors may not influence cognitive outcomes in stroke-surviving individuals however should be interpreted as preliminary given limitations in the current study.]]> Fri 11 Nov 2022 16:31:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45743 Fri 04 Nov 2022 10:12:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35553 Calyptorhynchus banksii), an Australian relative of the Goffin cockatoo (Cacatua goffini), using a food-finding task. Cockatoos were required to find a food item hidden in 1 of the 2 experimenter's hands. Following training sessions in which they reliably selected the closed baited hand they had just been shown open, each individual was tested on 4 different conditions. Critical to demonstrating exclusion reasoning was the condition in which they were shown the empty hand and then offered a choice of both closed hands. The performance of all birds was above chance on all experimental conditions but not on an olfactory and/or cuing control condition. The results suggest that the birds might be able to infer by exclusion, although an explanation based on rule learning cannot be excluded. This first experiment in red-tailed black cockatoo highlights the potential of this species as a model to study avian cognition and paves the pathway for future investigations.]]> Fri 03 Apr 2020 17:13:32 AEDT ]]>