Author: Zoe Kourtzi

Interests

Research at the Adaptive Brain Lab is at the interface of Neural and Computational Sciences. Our experimental work aims to understand the role of lifelong learning and brain plasticity in enabling humans of all ages to translate sensory experience into adaptive behaviours. Our computational work aims to develop predictive AI-guided models of neurodegenerative disease and mental health with translational impact in early diagnosis and personalised interventions.

Associated News Items

Artificial intelligence outperforms clinical tests at predicting progress of Alzheimer’s disease
Jul 16, 2024
Cambridge scientists have developed an artificially-intelligent tool capable of predicting in four cases out of…
Research Assistant/Associate in AI and Neuroinformatics (Fixed Term)
Jun 6, 2024
A Research Assistant or Research Associate (post-doc) position in AI and Neuroinformatics is available to…
Research Associate in MRI Physics for Neuroscience
May 28, 2024
An exciting opportunity to work with the Adaptive Brain Lab in the…

Key Publications

Ultra-High Field Imaging of Human Visual Cognition.

DOI: http://doi.org/10.1146/annurev-vision-111022-123830
Journal: Annu Rev Vis Sci
E-pub date: 15 Sep 2023
Authors: K Jia, R Goebel, Z Kourtzi

A robust harmonization approach for cognitive data from multiple aging and dementia cohorts.

DOI: http://doi.org/10.1002/dad2.12453
Journal: Alzheimers Dement (Amst)
E-pub date: 1 Aug 2023
Authors: J Giorgio, A Tanna, M Malpetti, SR White, J Wang, S Baker, S Landau, T Tanaka, C Chen, JB Rowe, J O'Brien, J Fripp, M Breakspear, W Jagust, Z Kourtzi, Alzheimer's Disease Neuroimaging Initiative, Australian Imaging Biomarkers and Lifestyle flagship study

Learning at your brain’s rhythm: individualized entrainment boosts learning for perceptual decisions.

DOI: http://doi.org/10.1093/cercor/bhac426
Journal: Cereb Cortex
E-pub date: 25 Apr 2023
Authors: E Michael, LS Covarrubias, V Leong, Z Kourtzi

Microstructural and neurochemical plasticity mechanisms interact to enhance human perceptual decision-making.

DOI: http://doi.org/10.1371/journal.pbio.3002029
Journal: PLoS Biol
E-pub date: 1 Mar 2023
Authors: JJ Ziminski, P Frangou, VM Karlaftis, U Emir, Z Kourtzi

A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation.

DOI: http://doi.org/10.1038/s41467-022-28795-7
Journal: Nature Communications
E-pub date: 7 Apr 2022
Authors: J Giorgio, WJ Jagust, S Baker, SM Landau, P Tino, Z Kourtzi, Alzheimer’s Disease Neuroimaging Initiative

A protocol for ultra-high field laminar fMRI in the human brain.

DOI: http://doi.org/10.1016/j.xpro.2021.100415
Journal: STAR Protoc
E-pub date: 18 Jun 2021
Authors: K Jia, E Zamboni, C Rua, NR Goncalves, V Kemper, AKT Ng, CT Rodgers, G Williams, R Goebel, Z Kourtzi

Predicting future regional tau accumulation in preclinical Alzheimer’s disease

DOI: http://doi.org/10.1002/alz.039827
Journal: Alzheimer's & Dementia
E-pub date: 1 Dec 2020
Authors: J Giorgio, WJ Jagust, SL Baker, SM Landau, P Tino, Z Kourtzi

Fine-scale computations for adaptive processing in the human brain.

DOI: http://doi.org/10.7554/eLife.57637
Journal: Elife
E-pub date: 10 Nov 2020
Authors: E Zamboni, VG Kemper, NR Goncalves, K Jia, VM Karlaftis, SJ Bell, J Giorgio, R Rideaux, R Goebel, Z Kourtzi

Recurrent Processing Drives Perceptual Plasticity.

DOI: http://doi.org/10.1016/j.cub.2020.08.016
Journal: Curr Biol
E-pub date: 2 Nov 2020
Authors: K Jia, E Zamboni, V Kemper, C Rua, NR Goncalves, AKT Ng, CT Rodgers, G Williams, R Goebel, Z Kourtzi

Modelling prognostic trajectories of cognitive decline due to Alzheimer’s disease.

DOI: http://doi.org/10.1016/j.nicl.2020.102199
Journal: Neuroimage Clin
E-pub date: 1 Aug 2020
Authors: J Giorgio, SM Landau, WJ Jagust, P Tino, Z Kourtzi, Alzheimer's Disease Neuroimaging Initiative

GABA, not BOLD, reveals dissociable learning-dependent plasticity mechanisms in the human brain.

DOI: http://doi.org/10.7554/eLife.35854
Journal: Elife
E-pub date: 25 Oct 2018
Authors: P Frangou, M Correia, Z Kourtzi

Publications

Study protocol: How does cognitive flexibility relate to other executive functions and learning in healthy young adults?

DOI: http://doi.org/10.1371/journal.pone.0286208
Journal: PLoS One
E-pub date: 1 Aug 2023
Authors: K Tong, YN Chan, X Cheng, B Cheon, M Ellefson, R Fauziana, S Feng, N Fischer, B Gulyás, N Hoo, D Hung, K Kalaivanan, C Langley, KM Lee, LL Lee, T Lee, I Melani, N Melia, JY Pei, L Raghani, YL Sam, P Seow, J Suckling, YF Tan, CL Teo, R Uchiyama, HS Yap, G Christopoulos, H Hendriks, A Chen, T Robbins, B Sahakian, Z Kourtzi, V Leong, CLIC Phase 1 Consortium

Predicting incident dementia in cerebral small vessel disease: comparison of machine learning and traditional statistical models.

DOI: http://doi.org/10.1016/j.cccb.2023.100179
Journal: Cereb Circ Cogn Behav
E-pub date: 1 Aug 2023
Authors: R Li, EL Harshfield, S Bell, M Burkhart, AM Tuladhar, S Hilal, DJ Tozer, FM Chappell, SDJ Makin, JW Lo, JM Wardlaw, F-E de Leeuw, C Chen, Z Kourtzi, HS Markus

The Early Detection of Neurodegenerative diseases initiative: an international and multidisciplinary effort for transforming the early detection of dementia‐causing diseases

DOI: http://doi.org/10.1002/alz.062434
Journal: Alzheimer's & Dementia
E-pub date: 1 Jun 2023
Authors: F Marinaro, C Morvan, R Au, S Bond, MC Burkhart, N Carlebach, D Chan, D Delbarre, L Farier, A Lacey, H LaMonica, CL Lancaster, LY Lee, DJ Llewellyn, A Mallon, RN Martins, RM Ardle, CJ Mummery, SL Naismith, M Oldham, S Rainey‐Smith, L Santos, S Slight, N Smith, S Thomas, J Venton, C Tolley, K Whitaker, J Wright, S Wilson, K Wing, J Crawford, P Dagum, C Routledge, Z Walker, R Everson, C Hinds, Z Kourtzi

Professor Zoe Kourtzi