Non-Invasive Techniques for the Detection and Diagnosis of Dementia

It is estimated that there are currently fifty million people living with dementia worldwide. An accurate and early diagnosis of dementia is important in order to initiate appropriate treatment programs as soon as possible. Common methods of neuropsychological assessment can be sensitive to external factors which may compromise accuracy. The aim of this thesis was to investigate techniques that have the potential for the detection of dementia that avoid some of the external influences. The thesis looked at measurements of (i) postural stability (ii) facial analysis and (iii) fully-immersive virtual reality in cognitively-healthy individuals. These techniques were chosen as postural stability and facial analysis change in dementia and whilst virtual reality has previously been used in dementia research, fully-immersive virtual reality measures have not been established. To see if the measurements were associated with cognitive function, participants completed a series of cognitive tests. Results indicate that all techniques explored shared a relationship with memory performance, with lower anteroposterior postural sway (F(1,22) = 17.76, p < 0.01), number of activities participated in that involve a posture element (F(2, 39) = 3.77, p < .05; Wilk's Λ = 0.84, partial η2 = 0.16), the greater the frequency of negative facial expressions (F(2, 18) = 4.49, p < .05; Wilk's Λ = 0.67, partial η2 = 0.33.), and low blink rate (t(11.02) = 2.62 p < .05) all showing better scores on memory tests. Moreover, better scores on the fullyimmersive virtual reality task predicted better scores on with short-term memory (F(1,22) = 20.20 p < 0.01), LTM (F(1,22) = 09.10 p < .01), associative learning (F(1,22) = 08.75 p < .01), and a dual–task test (F(1,22) = 04.64 p < .05). The novel findings that elements such as postural stability, participation in sports, facial expressions of emotion, blink rates, and spatial memory as assessed in fully-immersive virtual reality highlight that non-invasive techniques can provide measurements that correspond to cognitive ability. This may hold implications for dementia diagnoses. Future research should assess whether these relationships can also be found in an older adult population. If this relationship is found in older adults, it could justify further research into how these techniques could be applied in a clinical context.

Grantor dc:publisher.institution

University of Bradford

Year dc:date.issued

2021

Author dc:creator

• Blount, Joseph A.

Advisors dc:contributor.advisor

• Ugail, Hassan
• Lesk, Valerie E.

• Dementia
• Alzheimer’s Disease
• Cognition
• Non-invasive diagnosis
• Postural stability
• Facial analysis
• Fully-immersive virtual reality
• Cognitive tests

Statement dc:rights

• <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.

Language dc:language.iso

en

Handle dc:identifier.uri

http://hdl.handle.net/10454/19764

OAI identifier oai:identifier

oai:bradscholars.brad.ac.uk:10454/19764