Gary F. Egan, Ph.D., Prof.
Affiliations: | Monash University, Caulfield East, Victoria, Australia |
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"Gary Egan"Mean distance: 16.6 (cluster 23)
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Sign in to add trainee| Edwina R Orchard | grad student | 2018-2021 | Psychological Sciences |
| Stefan Bode | post-doc | University of Melbourne |
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| Orchard ER, Voigt K, Chopra S, et al. (2023) The maternal brain is more flexible and responsive at rest: effective connectivity of the parental caregiving network in postpartum mothers. Scientific Reports. 13: 4719 |
| Deery HA, Di Paolo R, Moran C, et al. (2022) Lower brain glucose metabolism in normal ageing is predominantly frontal and temporal: A systematic review and pooled effect size and activation likelihood estimates meta-analyses. Human Brain Mapping |
| Deery HA, Di Paolo R, Moran C, et al. (2022) The older adult brain is less modular, more integrated, and less efficient at rest: A systematic review of large-scale resting-state functional brain networks in aging. Psychophysiology. e14159 |
| Orchard ER, Ward PGD, Egan GF, et al. (2022) Evidence of Subjective, But Not Objective, Cognitive Deficit in New Mothers at 1-Year Postpartum. Journal of Women's Health (2002). 31: 1087-1096 |
| Wrigglesworth J, Harding IH, Ward P, et al. (2022) Factors Influencing Change in Brain-Predicted Age Difference in a Cohort of Healthy Older Individuals. Journal of Alzheimer's Disease Reports. 6: 163-176 |
| Jamadar SD, Liang EX, Zhong S, et al. (2022) Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET. Gigascience. 11 |
| Voigt K, Liang EX, Misic B, et al. (2022) Metabolic and functional connectivity provide unique and complementary insights into cognition-connectome relationships. Cerebral Cortex (New York, N.Y. : 1991) |
| Wrigglesworth J, Yaacob N, Ward P, et al. (2021) Brain-predicted age difference is associated with cognitive processing in later-life. Neurobiology of Aging. 109: 195-203 |
| Jamadar SD, Zhong S, Carey A, et al. (2021) Task-evoked simultaneous FDG-PET and fMRI data for measurement of neural metabolism in the human visual cortex. Scientific Data. 8: 267 |
| Jamadar SD, Egan GF. (2021) Resting-State FDG-PET Connectivity: Covariance, Ergodicity, and Biomarkers. Response to Commentary by Sala et al.; Static versus Functional PET: Making Sense of Metabolic Connectivity. Cerebral Cortex (New York, N.Y. : 1991) |