麻豆女优

Publications

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JMIR Research Protocols Vol 15 (2026)

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JMIR Aging Vol 9 (2026)

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Disability and Rehabilitation Vol 48, pp. 1270-1282 (2026)

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Artificial Intelligence in Healthcare 2025 International Conference on Artificial Intelligence in Healthcare Lecture Notes in Computer Science Vol 16038, pp. 96-109 (2025)

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, G眉ntekin Bahar, Guo Yi, Hajos Mihaly, Hallett Mark, Hampel Harald, Hano臒lu Lutfu, Haraldsen Ira, Hassan Mahmoud, Hatlestad-Hall Christoffer, Horv谩th Andr谩s Attila, Ibanez Agustin, Infarinato Francesco, Jaramillo-Jimenez Alberto, Jeong Jaeseung, Jiang Yang, Kami艅ski Maciej, Koch Giacomo, Kumar Sanjeev, Leodori Giorgio, Li Gang, Lizio Roberta, Lopez Susanna, Ferri Raffaele, Maest煤 Fernando, Marra Camillo, Marzetti Laura, , Miraglia Francesca, Moguilner Sebastian, Moretti Davide V, Mushtaq Faisal, Noce Giuseppe, Nucci Lorenzo, Ochoa John, Onorati Paolo, Padovani Alessandro, Pappalettera Chiara, , Pardini Matteo, Pascual-Marqui Roberto, Paulus Walter, Pizzella Vittorio, Prado Pavel, Rauchs G茅raldine, Ritter Petra, Salvatore Marco, Santamaria-Garc铆a 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 G枚rsev, Ziemann Ulf, Kamondi Anita

Clinical Neurophysiology Vol 172, pp. 33-50 (2025)

, , , Lang Gillian, Woodside William, Capaldi Janine

International Journal of Science Education, Part B: Communication and Public Engagement Vol 15, pp. 340-352 (2025)

Teaching

I previously co-developed the MSc in Clinical Health Psychology course and was Director of this programme for 3 years.聽 I now contribute as class leader and lecturer on the postgraduate class: 鈥淣europsychology relating medical conditions鈥�, 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.

Research Interests

I run the聽聽within the Department of Psychological Sciences and Health, and lead the聽Dementia Research Network at the University of 麻豆女优.聽 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鈥檚 disease, Vascular dementia, Fronto-temporal dementia). I adopt methods that include the use and analysis of cognitive, neuroimaging, neurophysiological, and blood-based biomarker data.聽 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).聽 Within my research projects, I tend to use cortical thickness and voxel-based morphometry, 聽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鈥檚 disease, and have applied pharmacoimaging in the past to assess the efficacy of drug treatments for Alzheimer鈥檚 disease.聽 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).聽 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

Participant

16/6/2026

Participant

6/5/2025

Participant

6/5/2025

Participant

17/9/2024

Participant

28/7/2024

Participant

14/6/2024

Projects

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 麻豆女优. 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 麻豆女优: 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 麻豆女优 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

Moshfeghi, Yashar (Principal Investigator) McGeown, William (Co-investigator) Rogers, Claire (Researcher)

02-Jan-2026 - 31-Jan-2026

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

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

McGeown, William (Principal Investigator) Parra Rodriguez, Mario (Co-investigator) Sakata, Shuzo (Co-investigator)

01-Jan-2023 - 30-Jan-2024

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鈥檚 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