Projects per year
Personal profile
Research interests
I joined the Department as a Lecturer in 2017. Prior to that I completed my PhD and post-doctoral research at the University of Bristol, using electroencephalography (EEG) to examine sensory and attentional processing in dementia patients and healthy older adults. My undergraduate degree was in Psychology at Swansea University.
I teach on the MSc Applied Clinical Psychology course, run the EEG laboratories and lead the Neurostim research group. I am also an Early Career Co-ordinator for Alzheimer’s Research UK.
My motivation as a researcher has always been to translate the findings of cognitive neuroscience into useful tools for clinicians and the wider world. My primary research focus is the development of a new EEG technique, known as Fast Periodic Visual Stimulation, for assessing cognitive deficits in dementia. In partnership with my collaborators I have developed a free toolbox https://gstothart.github.io/Fastball/ allowing anyone to download and conduct their own Fast Periodic Visual Stimulation experiments.
In 2015 I was nominated for the Erik Kandel Young Neuroscientist Prize by Prof. Risto Näätänen of the University of Helsinki.
Research interests
- Dementia
- Electroencephalography
- Ageing
- Neurological disorders
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Fastball
Stothart, G. (PI)
National Institute for Health Research
1/04/23 → 31/07/27
Project: Central government, health and local authorities
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Developing functional biomarkers of early Alzheimer's disease
Stothart, G. (PI)
The Academy of Medical Sciences
9/05/21 → 31/07/23
Project: UK charity
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2019 ARUK network grant - movement disorders clinic
Stothart, G. (PI)
1/01/20 → 28/02/22
Project: UK charity
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Fastball-EEG Assessment of Short Term Memorty in Alzheimer's Disease
Stothart, G. (PI)
1/07/18 → 30/09/19
Project: UK charity
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Resting-state EEG signatures of Alzheimer's disease are driven by periodic but not aperiodic changes
Kopčanová, M., Tait, L., Donoghue, T., Stothart, G., Smith, L., Flores-Sandoval, A. A., Davila-Perez, P., Buss, S., Shafi, M. M., Pascual-Leone, A., Fried, P. J. & Benwell, C. S. Y., 31 Jan 2024, In: Neurobiology of Disease. 190, 106380.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (SciVal) -
Effect of four-week cannabidiol treatment on cognitive function: secondary outcomes from a randomised clinical trial for the treatment of cannabis use disorder
Lees, R., Hines, L. A., Hindocha, C., Baio, G., Shaban, N. D. C., Stothart, G., Mofeez, A., Morgan, C. J. A., Curran, H. V. & Freeman, T. P., 28 Feb 2023, In: Psychopharmacology. 240, 2, p. 337-346 10 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (SciVal) -
Working Memory Impairment in Transient Ischaemic Attack: N-back as a Sensitive Measure for Detection
Smith, L. J., Gregory, P., Clatworthy, P., Gallop, L. & Stothart, G., 15 Mar 2023, In: Brain Impairment. 24, 1, p. 124-131 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile45 Downloads (Pure) -
An empirical evaluation of methodologies used for emotion recognition via EEG signals
Hinvest, N., Ashwin, C., Hook, J., Carter, F., Smith, L. & Stothart, G., 31 Dec 2022, In: Social Neuroscience. 17, 1, p. 1-12 12 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (SciVal) -
A large-scale brain network mechanism for increased seizure propensity in Alzheimer’s disease
Tait, L., Lopes, M. A., Stothart, G., Baker, J., Kazanina, N., Zhang, J. & Goodfellow, M., 11 Aug 2021, In: Plos Computational Biology. 17, 8, e1009252.Research output: Contribution to journal › Article › peer-review
Open Access13 Citations (SciVal)
Datasets
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Dataset for article entitled "An empirical evaluation of methodologies used for emotion recognition via EEG signals"
Hinvest, N. (Creator), Ashwin, C. (Creator), Carter, F. (Creator), Hook, J. (Creator), Smith, L. G. E. (Creator) & Stothart, G. (Creator), University of Bath, 30 Jan 2022
DOI: 10.15125/BATH-00899
Dataset