NeuroImage: Clinical (Jan 2021)
A prospective cohort study of prodromal Alzheimer’s disease: Prospective Imaging Study of Ageing: Genes, Brain and Behaviour (PISA)
- Michelle K. Lupton,
- Gail A. Robinson,
- Robert J. Adam,
- Stephen Rose,
- Gerard J. Byrne,
- Olivier Salvado,
- Nancy A. Pachana,
- Osvaldo P. Almeida,
- Kerrie McAloney,
- Scott D Gordon,
- Parnesh Raniga,
- Amir Fazlollahi,
- Ying Xia,
- Amelia Ceslis,
- Saurabh Sonkusare,
- Qing Zhang,
- Mahnoosh Kholghi,
- Mohan Karunanithi,
- Philip E Mosley,
- Jinglei Lv,
- Léonie Borne,
- Jessica Adsett,
- Natalie Garden,
- Jurgen Fripp,
- Nicholas G. Martin,
- Christine C Guo,
- Michael Breakspear
Affiliations
- Michelle K. Lupton
- QIMR Berghofer Medical Research Institute, Brisbane, Australia; Corresponding author.
- Gail A. Robinson
- School of Psychology, The University of Queensland, St. Lucia, Brisbane, Australia; Queensland Brain Institute, The University of Queensland, St. Lucia, Brisbane, Australia
- Robert J. Adam
- QIMR Berghofer Medical Research Institute, Brisbane, Australia; Centre for Clinical Research (UQCCR), The University of Queensland, Brisbane, Australia; Royal Brisbane and Women's Hospital Mental Health Services, University of Queensland, Brisbane, Australia; Faculty of Medicine, University of Queensland, Brisbane, Australia
- Stephen Rose
- CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, Australia
- Gerard J. Byrne
- Royal Brisbane and Women's Hospital Mental Health Services, University of Queensland, Brisbane, Australia; Faculty of Medicine, University of Queensland, Brisbane, Australia
- Olivier Salvado
- CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, Australia
- Nancy A. Pachana
- School of Psychology, The University of Queensland, St. Lucia, Brisbane, Australia
- Osvaldo P. Almeida
- Medical School, University of Western Australia, Perth, Australia; WA Centre for Health and Ageing of the University of Western Australia, Australia
- Kerrie McAloney
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Scott D Gordon
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Parnesh Raniga
- CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, Australia
- Amir Fazlollahi
- CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, Australia
- Ying Xia
- CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, Australia
- Amelia Ceslis
- School of Psychology, The University of Queensland, St. Lucia, Brisbane, Australia
- Saurabh Sonkusare
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Qing Zhang
- CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, Australia
- Mahnoosh Kholghi
- CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, Australia
- Mohan Karunanithi
- CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, Australia
- Philip E Mosley
- QIMR Berghofer Medical Research Institute, Brisbane, Australia; Queensland Brain Institute, The University of Queensland, St. Lucia, Brisbane, Australia; Neurosciences Queensland, Brisbane, Queensland, Australia
- Jinglei Lv
- Sydney Imaging & School of Biomedical Engineering, The University of Sydney, Sydney, Australia
- Léonie Borne
- The University of Newcastle, Newcastle, Australia
- Jessica Adsett
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Natalie Garden
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Jurgen Fripp
- CSIRO Health and Biosecurity, Australian E-Health Research Centre, Brisbane, Australia
- Nicholas G. Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Christine C Guo
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Michael Breakspear
- QIMR Berghofer Medical Research Institute, Brisbane, Australia; The University of Newcastle, Newcastle, Australia
- Journal volume & issue
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Vol. 29
p. 102527
Abstract
This prospective cohort study, “Prospective Imaging Study of Ageing: Genes, Brain and Behaviour” (PISA) seeks to characterise the phenotype and natural history of healthy adult Australians at high future risk of Alzheimer’s disease (AD). In particular, we are recruiting midlife and older Australians with high and low genetic risk of dementia to discover biological markers of early neuropathology, identify modifiable risk factors, and establish the very earliest phenotypic and neuronal signs of disease onset. PISA utilises genetic prediction to recruit and enrich a prospective cohort and follow them longitudinally. Online surveys and cognitive testing are used to characterise an Australia-wide sample currently totalling over 3800 participants. Participants from a defined at-risk cohort and positive controls (clinical cohort of patients with mild cognitive impairment or early AD) are invited for onsite visits for detailed functional, structural and molecular neuroimaging, lifestyle monitoring, detailed neurocognitive testing, plus blood sample donation. This paper describes recruitment of the PISA cohort, study methodology and baseline demographics.
