Summary: Sea Hero Quest, a navigation themed cell phone game, is helping researchers to identify those at risk of developing Alzheimer’s disease. Those with a genetic risk factor for Alzheimer’s perform worse on the spatial navigation tasks in the game, taking more time and less efficient routes to checkpoint goals.
Source: University of East Anglia
A specially designed mobile phone game can detect people at risk of Alzheimer’s – according to new research from the University of East Anglia.
Researchers studied gaming data from an app called Sea Hero Quest, which has been downloaded and played by more than 4.3 million people worldwide.
The game, created by Deutsche Telekom in partnership with Alzheimer’s Research UK, University College London (UCL), the University of East Anglia and game developers, Glitchers has been designed to help researchers better-understand dementia by seeing how the brain works in relation to spatial navigation.
As players make their way through mazes of islands and icebergs, the research team are able to translate every 0.5 seconds of gameplay into scientific data.
The team studied how people who are genetically predisposed to Alzheimer’s disease, play the game – compared to people who are not.
The results, published in the journal PNAS, show that people who are genetically at risk of developing Alzheimer’s disease can be distinguished from those who are not on specific levels of the Sea Hero Quest game.
The findings are particularly important because a standard memory and thinking test could not distinguish between the risk and non-risk groups.
Lead researcher Prof Michael Hornberger, from UEA’s Norwich Medical School, said: “Dementia will affect 135 million people worldwide by 2050. We need to identify people earlier to reduce their risk of developing dementia in the future.
“Current diagnosis of dementia is strongly based on memory symptoms, which we know now are occurring when the disease is quite advanced. Instead, emerging evidence shows that subtle spatial navigation and awareness deficits can precede memory symptoms by many years.
“Our current findings show that we can reliably detect such subtle navigation changes in at-genetic-risk of Alzheimer’s disease healthy people without any problem symptoms or complaints. Our findings will inform future diagnostic recommendations and disease treatments to address this devastating disease.”
The data collected by the Sea Hero Quest app is vital for research – because every two minutes spent playing the game is equal to five hours of lab-based research. And having three million players globally equates to more than 1,700 years’ worth of lab-based research.
The team studied gaming data taken from 27,108 UK players aged between 50-75 – the most vulnerable age-group to develop Alzheimer’s in the next decade.
They compared this benchmark data with a smaller lab-based group of 60 people who underwent genetic testing.
In the smaller lab group, 31 volunteers carried the APOE4 gene, which is known to be linked with Alzheimer’s disease, and 29 people did not. Both lab groups were matched for age, gender, education and nationality with the benchmark cohort.
Genetic risk for Alzheimer’s is complicated. People (around one in every four) who have one copy of the APOE4 gene are around three times more likely to be affected by Alzheimer’s and develop the disease at a younger age.
Prof Hornberger said: “We found that people with a high genetic risk, the APOE4 carriers, performed worse on spatial navigation tasks. They took less efficient routes to checkpoint goals.
“This is really important because these are people with no memory problems.
“Meanwhile, those without the APOE4 gene travelled roughly the same distance as the 27,000 people forming the baseline score. This difference in performance was particularly pronounced where the space to navigate was large and open.
“It means that we can detect people who are at genetic risk of Alzheimer’s based on how they play the game.”
The team have previously reported Sea Hero Quest found people in different countries and populations navigate differently.
Gillian Coughlan, also from UEA’s Norwich Medical School, said: “This research shows that data collected from people who downloaded and played Sea Hero Quest can be used as a benchmark to help identify those at a genetically higher risk of developing Alzheimer’s in smaller groups of people.
“Sea Hero Quest succeeded where a conventional memory and thinking test failed. It demonstrates the power of harnessing large-scale citizen science projects and applying big data technologies, to help improve the early detection of diseases like Alzheimer’s.
“This global Sea Hero Quest project provides an unprecedented chance to study how many thousands of people from different countries and cultures navigate space. It is helping to shed light on how we use our brain to navigate and also to aid the development of more personalised measures for future diagnostics and drug treatment programmes in dementia research.
“This is the tip of the iceberg and there is still a lot more work to do to extract and capitalise on the wealth of data collected through the Deutsche Telekom’s Sea Hero Quest project.”
Prof Hugo Spiers, from UCL, said: “Our discovery highlights the value of bringing together big data with precise data to aid the development of digital tools for medical diagnoses.”
Hilary Evans, Chief Executive at Alzheimer’s Research UK said: “We often hear heartbreaking stories about people with dementia who get lost and can’t find their way home and we know spatial navigation difficulties like these are some of the earliest warning signs for the condition.
“Research shows us that the brain changes associated with diseases like Alzheimer’s begin decades before symptoms like memory loss start and for future Alzheimer’s treatments to be effective, it’s likely they must be given at the earliest stages of disease, before there’s too much damage to the brain.
“Using big data to help improve the early and accurate detection of the diseases that cause dementia can help revolutionise how we research and treat the condition. Sea Hero Quest is an amazing example of how pioneering research can help scientists get one step closer to a life-changing breakthrough.”
Hans-Christian Schwingen, Chief Brand Officer at Deutsche Telekom, said: “What Sea Hero Quest has demonstrated is the unique power of innovative cross-sector partnerships in advancing research. We are very proud to have been a part of facilitating such a revolutionary project and are excited to see the future insights generated through analysis of the data set collected.”
‘Big data in spatial navigation – towards personalized cognitive diagnostics of ‘at-genetic-risk’ Alzheimer’s disease’ is published in the journal PNAS.
About this neuroscience research article
Source: University of East Anglia Media Contacts: Cat Bartman – University of East Anglia Image Source: The image is credited to Deutsche Telekom’s Sea Hero Quest.
Toward personalized cognitive diagnostics of at-genetic-risk Alzheimer’s disease
Spatial navigation is emerging as a critical factor in identifying preclinical Alzheimer’s disease (AD). However, the impact of interindividual navigation ability and demographic risk factors (e.g., APOE, age, and sex) on spatial navigation make it difficult to identify persons “at high risk” of AD in the preclinical stages. In the current study, we use spatial navigation big data (n = 27,108) from the Sea Hero Quest (SHQ) game to overcome these challenges by investigating whether big data can be used to benchmark a highly phenotyped healthy aging laboratory cohort into high- vs. low-risk persons based on their genetic (APOE) and demographic (sex, age, and educational attainment) risk factors. Our results replicate previous findings in APOE ε4 carriers, indicative of grid cell coding errors in the entorhinal cortex, the initial brain region affected by AD pathophysiology. We also show that although baseline navigation ability differs between men and women, sex does not interact with the APOE genotype to influence the manifestation of AD-related spatial disturbance. Most importantly, we demonstrate that such high-risk preclinical cases can be reliably distinguished from low-risk participants using big-data spatial navigation benchmarks. By contrast, participants were undistinguishable on neuropsychological episodic memory tests. Taken together, we present evidence to suggest that, in the future, SHQ normative benchmark data can be used to more accurately classify spatial impairments in at-high-risk of AD healthy participants at a more individual level, therefore providing the steppingstone for individualized diagnostics and outcome measures of cognitive symptoms in preclinical AD.