Dr William McGeown

Reader

Psychology

Contact

Personal statement

I am currently a Reader within the Department of Psychological Sciences and Health (University of Strathclyde [UoS]), with expertise is in neuropsychology and cognitive neuroscience.

My research interests are mostly centred on the cognitive and neuropsychiatric symptoms that are found in Alzheimer’s disease and the other dementias, and I am interested in non-pharmacological treatment and management techniques.  Another of my research interests relates to suggestibility and hypnosis.

I lead the Neuroanalytics Laboratory and the Dementia Research Network at UoS.

I am President of the Section of Hypnosis and Psychosomatic Medicine at the Royal Society of Medicine.  I am also the UoS Executive Committee lead for the Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE).

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Prize And Awards

Best Presentation Award, Scottish Dementia Research Consortium Conference
Recipient
2025
Best Poster at the Celebrating Scottish Research Conference 2024
Recipient
14/6/2024
Best Oral Presentation at the 2021 SINAPSE Annual Scientific Meeting
Recipient
16/9/2021

More prizes and awards

Qualifications

Fellow of the Higher Education Academy (HEA)

Postgraduate Certificate in Higher Education (PGCHE) (University of Hull)

PhD (University of Hull)

Diploma in Research Methods (University of Aberdeen)

BSc (Hons) Psychology (University of Aberdeen)

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Publications

Commonalities and divergences in the cognitive profiles of autism and dementia : protocol for a narrative literature review
Stewart Lynsey, Mcgeown William J, Delafield-Butt Jonathan, Parra Mario A
JMIR Research Protocols Vol 15 (2026)
https://doi.org/10.2196/82349
Exploring information access in aging populations and those with dementia and mild cognitive impairment in the United Kingdom : survey and focus group study
Rogers Claire, McGeown William J, Moshfeghi Yashar
JMIR Aging Vol 9 (2026)
https://doi.org/10.2196/85626
A biomechanical analysis of the effectiveness of the Graded Repetitive Arm Supplementary Program (GRASP) for chronic stroke rehabilitation
Grealy Madeleine A, Meneilly Luke, Rollins Lesley-Anne, McGeown William J
Disability and Rehabilitation Vol 48, pp. 1270-1282 (2026)
https://doi.org/10.1080/09638288.2025.2530158
MICA : a multimodal intelligent cognitive assessment framework integrating generative AI and social robot for early cognitive intervention
Ait Ameur Mohamed Adlan, Yang Erfu, McGeown William J, Zhang Yin-Ping
Artificial Intelligence in Healthcare 2025 International Conference on Artificial Intelligence in Healthcare Lecture Notes in Computer Science Vol 16038, pp. 96-109 (2025)
https://doi.org/10.1007/978-3-032-00652-3_8
Alpha rhythm and Alzheimer's disease : has Hans Berger's dream come true?
Babiloni Claudio, Arakaki Xianghong, Baez Sandra, Barry Robert J, Benussi Alberto, Blinowska Katarzyna, Bonanni Laura, Borroni Barbara, Bayard Jorge Bosch, Bruno Giuseppe, Cacciotti Alessia, Carducci Filippo, Carino John, Carpi Matteo, Conte Antonella, Cruzat Josephine, D'Antonio Fabrizia, Della Penna Stefania, Percio Claudio Del, De Sanctis Pierfilippo, Escudero Javier, Fabbrini Giovanni, Farina Francesca R, Fraga Francisco J, Fuhr Peter, Gschwandtner Ute, Güntekin Bahar, Guo Yi, Hajos Mihaly, Hallett Mark, Hampel Harald, Hanoğlu Lutfu, Haraldsen Ira, Hassan Mahmoud, Hatlestad-Hall Christoffer, Horváth András Attila, Ibanez Agustin, Infarinato Francesco, Jaramillo-Jimenez Alberto, Jeong Jaeseung, Jiang Yang, Kamiński Maciej, Koch Giacomo, Kumar Sanjeev, Leodori Giorgio, Li Gang, Lizio Roberta, Lopez Susanna, Ferri Raffaele, Maestú Fernando, Marra Camillo, Marzetti Laura, McGeown William, Miraglia Francesca, Moguilner Sebastian, Moretti Davide V, Mushtaq Faisal, Noce Giuseppe, Nucci Lorenzo, Ochoa John, Onorati Paolo, Padovani Alessandro, Pappalettera Chiara, Parra Mario Alfredo, Pardini Matteo, Pascual-Marqui Roberto, Paulus Walter, Pizzella Vittorio, Prado Pavel, Rauchs Géraldine, Ritter Petra, Salvatore Marco, Santamaria-García Hernando, Schirner Michael, Soricelli Andrea, Taylor John-Paul, Tankisi Hatice, Tecchio Franca, Teipel Stefan, Kodamullil Alpha Tom, Triggiani Antonio Ivano, Valdes-Sosa Mitchell, Valdes-Sosa Pedro, Vecchio Fabrizio, Vossel Keith, Yao Dezhong, Yener Görsev, Ziemann Ulf, Kamondi Anita
Clinical Neurophysiology Vol 172, pp. 33-50 (2025)
https://doi.org/10.1016/j.clinph.2025.02.256
Public engagement with science : a novel researcher-led collaboration with a major UK science centre
Robertson David J, McGeown William J, Wodehouse Andrew, Lang Gillian, Woodside William, Capaldi Janine
International Journal of Science Education, Part B: Communication and Public Engagement Vol 15, pp. 340-352 (2025)
https://doi.org/10.1080/21548455.2024.2398825

More publications

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Teaching

I previously co-developed the MSc in Clinical Health Psychology course and was Director of this programme for 3 years.  I now contribute as class leader and lecturer on the postgraduate class: “Neuropsychology relating medical conditions”, and the undergraduate class: "Neuropsychology of Ageing and Dementia".

I have previously taught on neuropsychology, neuroscience methods, statistics, research methods, cognitive psychology and health psychology.

I am an HEA fellow.

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Research Interests

I run the Neuroanalytics Laboratory within the Department of Psychological Sciences and Health, and lead the Dementia Research Network at the University of Strathclyde.  Key research themes include:

Ageing and Dementia

My research is focused on the early detection, diagnosis, management and treatment of different types of dementia (e.g. Alzheimer’s disease, Vascular dementia, Fronto-temporal dementia). I adopt methods that include the use and analysis of cognitive, neuroimaging, neurophysiological, and blood-based biomarker data.  I am also interested in the breakdown of cognition (episodic and semantic memory, language and attention) that occurs during the course of neurodegenerative disease, and in understanding the neural correlates of neuropsychiatric/behavioural symptoms (such as hallucinations and delusions).  Within my research projects, I tend to use cortical thickness and voxel-based morphometry,  functional connectivity assessment, event-related potential analysis, spectral analysis, and machine learning techniques.

I am actively investigating sensory stimulation as a treatment/management technique for Alzheimer’s disease, and have applied pharmacoimaging in the past to assess the efficacy of drug treatments for Alzheimer’s disease.  I am interested in predicting response to treatment and in tailoring various treatments to the individual (personalised medication).

Further interests include the effects of normal ageing (e.g., on cognitive function and on the brain).

Hypnosis and suggestibility
In recent years, as Principal Investigator, I have led two funded research projects to investigate hypnosis and suggestibility (funding from The Leverhulme Trust and the BIAL Foundation).  I am interested in the effects of hypnosis on the brain, and in the cognitive, neural and genetic associations that may underpin suggestibility.

Professional Activities

SINAPSE Annual Scientific Meeting
Participant
16/6/2026
SINAPSE Annual Scientific Meeting
Chair
16/6/2026
Celebrating Scottish Research Conference (SDRC + NRS-NDN) 2026
Participant
28/5/2026
Mind-body Disorders: Advances in Treatment and Rehabilitation. Offered through the Hypnosis and Psychosomatic Medicine Section of the Royal Society of Medicine
Organiser
27/4/2026
Scottish Dementia Research Consortium (SDRC) 2025
Participant
6/5/2025
Scottish Dementia Research Consortium (SDRC) 2025
Participant
6/5/2025

More professional activities

Projects

Inclusive Network Pathways for Human-Robot-AI Healthcare Research and Knowledge Exchange
Yang, Erfu (Principal Investigator) McGeown, William (Co-investigator) Buchanan, Sarah (Co-investigator) Ait Ameur, Mohamed Adlan (Post Grad Student)
This project will build CONNECT-HRC-AI Healthcare as an inclusive, visible and sustainable RKEI culture network for human-robot-AI healthcare research and knowledge exchange at Strathclyde. The purpose is to use conference engagement as an evidence-gathering and external-learning stage that informs a wider programme to connect existing expertise, make contributions visible, and create practical collaboration pathways. The project responds directly to the RKEI culture challenge identified at Strathclyde: relevant activity already exists, but people, capabilities, opportunities and everyday contributions are often fragmented, unevenly visible and difficult to connect.
The network will build on initial collaborative work between DMEM and the Department of Psychology, using existing MICA/social robotics and AI-in-the-loop healthcare research as a concrete anchor (Ait Ameur et al., 2025). However, the purpose of the network is to broaden this collaboration beyond a single doctoral project, laboratory, or discipline. Human-robot-AI healthcare brings together engineering and robotics, computer science and AI, psychology and cognitive science, health and wellbeing research, ethics, design, data governance, technical support, professional services and knowledge exchange, clinicians, formal care partners, and lived-experience or community voices. It therefore provides a strong test case for the kind of inclusive, visible, and sustainable collaborative research culture that the RKEI Network aims to enable.
The project will build on existing Strathclyde activity rather than create a disconnected new group. It will follow a structured mapping approach inspired by existing institutional network analysis: identify relevant people, themes, projects, facilities, datasets, methods and gaps; validate this map through expert-led workshops; and convert it into collaboration pathways, pitch ideas and future grant routes. Participants will be selected through a combination of targeted invitations across faculties and roles, open expressions of interest, doctoral/researcher networks, KE contacts and existing health, cognitive science, digital, design and robotics links.
01-Jan-2026 - 14-Jan-2026
£14,926.50 - ESRC-IAA Inclusive Innovation for Gen-AI: Training Development Project
Moshfeghi, Yashar (Principal Investigator) McGeown, William (Co-investigator) Rogers, Claire (Researcher)
02-Jan-2026 - 31-Jan-2026
EPSRC-IAA GSC Citizen Science Project Phase 1-B [£29k]
Robertson, David (Principal Investigator) McGeown, William (Co-investigator) Wodehouse, Andrew (Co-investigator) Lang, Gillian (Co-investigator)
This project will professionalise and update the Phase 1 content, leading to an exhibit relaunch in later 2023/early 2024.
01-Jan-2023 - 01-Jan-2025
EPSRC-IAA GSC Citizen Science Project Phase 1-B [£29k]
Robertson, David (Principal Investigator) McGeown, William (Co-investigator) Wodehouse, Andrew (Co-investigator)
This project will professionalise and update the Phase 1 content, leading to an exhibit relaunch in later 2023/early 2024.
01-Jan-2023 - 01-Jan-2025
Biosemi electroencephalography (EEG) amplifier
McGeown, William (Principal Investigator) Parra Rodriguez, Mario (Co-investigator) Sakata, Shuzo (Co-investigator)
01-Jan-2023 - 30-Jan-2024
£12,262.72 HaSS Bridging Disciplines: "Predicting healthy ageing and age-related disorders using the UK Biobank Database" Successfully funded
McGeown, William (Principal Investigator) Mavroeidi, Alexandra (Principal Investigator) Parra Rodriguez, Mario (Co-investigator) Brown Nicholls, Louise (Co-investigator) Rasmussen, Susan (Co-investigator) Robertson, David (Co-investigator) Tse, Dwight (Co-investigator) Kirk, Alison (Co-investigator) Hafford-Letchfield, Trish (Co-investigator) Rattray, Nicholas (Co-investigator) Bushell, Trevor (Co-investigator) Gould, Gwyn (Co-investigator) GANGANNAGARIPALLI, Jaheedabegum (Co-investigator) Carswell, Hilary (Co-investigator) Tate, Rothwelle (Co-investigator) Kurdi, Amanj (Co-investigator) Lennon, Marilyn (Co-investigator) Moshfeghi, Yashar (Co-investigator) Roper, Marc (Co-investigator) McConnell, Gail (Co-investigator) Kerr, Andy (Co-investigator) Li, David (Co-investigator) Thomson, Avril (Co-investigator) Campbell, Gerard (Co-investigator) Vourganas, Ioannis (Co-investigator) Clark, Ruaridh (Co-investigator) Macdonald, Malcolm (Co-investigator)
HaSS Bridging Disciplines.

Successfully funded for access to UK Biobank:

The overarching aim of the application is to investigate the predictors (e.g., lifestyle, neuroimaging metabolic and genetic) of healthy ageing (e.g., cognitive, physical and mental health in older age).

Our objectives are to identify the contribution of predictors (lifestyle, medication-related, neuroimaging, metabolic, and genetic) of the following outcomes, that occur at greater frequency in older age:
1) Cognitive impairment (e.g., due to normal ageing or neurological disorders such as Alzheimer’s disease, stroke)
2) Poor physical health (e.g., osteoporosis, diabetes, falls and fractures)
3) Poor mental health (e.g., anxiety, depression, suicidal ideation)
08-Jan-2023 - 09-Jan-2025

More projects

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Contact

Dr William McGeown
Reader
Psychology

Email: william.mcgeown@strath.ac.uk
Tel: 548 4477