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Download a PDF of the 2012 Annual Report - Black Dog Institute

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ManagingDepressionGrowing OlderA guide for pr<strong>of</strong>essionals and carersHealthy BrainAgeingResearch Leaders – Pr<strong>of</strong>essor Henry Brodaty,Pr<strong>of</strong>essor Perminder Sachdev‘Greying <strong>of</strong> <strong>the</strong> <strong>Black</strong> <strong>Dog</strong>’Kerrie Eyers, Gordon Parker and Henry BrodatyAn estimated eight per cent <strong>of</strong> older adults inAustralia experience depression and <strong>the</strong> number willincrease as <strong>the</strong> population ‘greys’.<strong>Black</strong> <strong>Dog</strong> <strong>Institute</strong> partners with affiliateorganisations such as <strong>the</strong> UNSW Centre for HealthyBrain Ageing to find answers to help older Australianslive a productive and healthy life in <strong>the</strong>se golden years.Research activity from <strong>2012</strong> includes:Reducing behavioural and psychologicalsymptoms <strong>of</strong> dementia in <strong>the</strong> community – Nonpharmacologicalinterventions delivered by familycaregivers have <strong>the</strong> potential to reduce <strong>the</strong> frequencyand severity <strong>of</strong> behavioural and psychological symptoms<strong>of</strong> dementia, with <strong>the</strong> effect at least equallingthat <strong>of</strong> pharmaco<strong>the</strong>rapy.Changing topological patterns in normalageing – Researchers examined normal ageing from<strong>the</strong> perspective <strong>of</strong> topological patterns <strong>of</strong> structuralbrain networks constructed from two healthy agecohorts 20 years apart. We <strong>the</strong>n constructed structuralbrain networks using 90 cortical and subcorticalregions as a set <strong>of</strong> nodes, and fur<strong>the</strong>r analysed <strong>the</strong>topological properties <strong>of</strong> <strong>the</strong> age-specific networks.We found that <strong>the</strong> brain structural networks <strong>of</strong> bothcohorts had small-world architecture, and <strong>the</strong> oldercohort (age range 64-68) had lower global efficiencybut higher local clustering in <strong>the</strong> brain structural networkscompared with <strong>the</strong> younger cohort (age range44-48). The older cohort had reduced hemisphericasymmetry and lower centrality <strong>of</strong> certain brainregions, but that <strong>of</strong> <strong>the</strong> prefrontal cortex (PFC) wasnot different. These structural network differences mayprovide <strong>the</strong> basis for changes in functional connectivityand cognitive function as we age and may explain <strong>the</strong>development <strong>of</strong> cognitive disorders and depression inold age.BLACK DOG <strong>2012</strong>29

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