{"id":7485,"date":"2018-09-18T12:33:19","date_gmt":"2018-09-18T12:33:19","guid":{"rendered":"https:\/\/website.prod.unilu.spikeseed.cloud\/en\/news\/anja-leist-receives-the-prestigious-erc-starting-grant\/"},"modified":"2018-09-18T12:33:19","modified_gmt":"2018-09-18T12:33:19","slug":"anja-leist-receives-the-prestigious-erc-starting-grant","status":"publish","type":"news","link":"https:\/\/www.uni.lu\/en\/news\/anja-leist-receives-the-prestigious-erc-starting-grant\/","title":{"rendered":"Anja Leist receives the prestigious “ERC Starting Grant”"},"content":{"rendered":"

Researcher Dr Anja Leist, from the University of Luxembourg, receives a Starting Grant from the European Research Council (ERC) to support her work on dementia and cognitive impairment in older ages. In total she will receive 1.5 million euros during five years to build a research team and lead her promising research project.<\/p>

Anja Leist\u2019s research project CRISP \u2013 \u201cCognitive Aging: From Educational Opportunities to Individual Risk Profiles<\/a>\u201d \u2013\u00a0 aims to provide comprehensive knowledge and techniques to identify risk factors and people at risk of dementia, in order for them to benefit as early as possible from behavioural interventions. Her project is strongly linked to computational sciences.<\/p>

\u00a0<\/p>

Dementia, which manifests itself through deterioration in memory, thinking, behaviour and the ability to perform everyday activities, affects roughly 50 million people worldwide and almost ten million people in Europe. Pathologies of dementia, such as Alzheimer\u2019s disease, have devastating effects on people and families. They represent a great challenge and cost for caregivers and health systems. Despite this, there is currently no treatment to reverse or cure cognitive impairment.<\/p>\n

\nPart 1: How inequalities determine cognitive ageing<\/h2>\n

We already know that childhood and young adulthood are immensely important for laying the foundations of cognitive functioning over a person\u2019s life course. However, we need to know more about how our environment systematically shapes how much we realise our cognitive potential. This is the first mission of Anja Leist\u2019s research team.<\/p>

\u201cInnate abilities and parental background, but also external factors such as education, social environment, gender equality and professional development shape to what extent we can realise the potential of our brain,\u201d explains Dr Anja Leist<\/a>. \u201cDuring our lifetime, these factors contribute to what we call building up cognitive reserve, meaning a kind of cognitive \u2018fitness\u2019 or the ability to improvise and find new ways to do the things we need to do. This cognitive reserve helps us in time to buffer or delay cognitive decline.\u201d <\/p>

By quantifying the role of contextual inequalities related to education and gender, research results should guide policymaking in these areas. \u201cIt should be imperial that everyone benefits from educational and social environments that favour building cognitive reserve,\u201d continues Anja Leist.<\/p>\n

\nPart 2: New methods to capture the complexity of cognitive evolution<\/h2>\n

Today, there are behavioural interventions \u2013 designed to stimulate adequate behavior \u2013 available that can delay cognitive decline for people at risk. However, scientists and medical staff face a gap of knowledge how to identify people at risk with low-cost, non-invasive procedures. Thus, the second part of the research project aims to step up statistical models currently used in the social sciences with new machine learning techniques. What sounds like an improbable combination is in fact the key to capture the complexity of cognitive decline.<\/p>

\u201cCognitive evolution doesn\u2019t change in a linear fashion, it varies in speed and power, in its consistency or recoils,\u201d Anja Leist clarifies. \u201cConsidering the numerous influences of genetics, social and behavioral factors, traditional statistical methods hardly capture this complexity. \u201c At the same time, the new machine learning techniques cannot just be blindly adapted from big data applications, but need to be combined with sophisticated causality methods in order to shed light on the complexity of cognitive aging.<\/p>

With the new statistical models, health professionals can better predict the cognitive evolution of a person at risk. Persons at high risk of dementia can then be supported to make those changes in their lives that are necessary to remain stable or to significantly buffer a cognitive pathology.<\/p>

A lifetime of dedication<\/strong><\/p>

Dr Anja Leist, nominated as Associate Professor at the University, specialises in social epidemiology, in particular linked to social inequalities and gerontology. Being a Fellow of the Gerontological Society of America, she volunteers in a worldwide network, the World Young Leaders in Dementia, and organised Dementia Awareness Workshops<\/a> in Luxembourgish secondary schools, teaching teenagers how to recognise dementia and interact with people affected by it.<\/p>

<\/p>\n

\nPhotos: \u00a9 Yaph<\/h5>\n<\/div><\/section>","protected":false},"excerpt":{"rendered":"

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