Projects per year
Personal profile
Expertise
Processing and analysis of neurophysiological data, with a personal focus on electroencephalography (EEG) and magnetoencephalography (MEG), of neurological and neuropsychiatric disorders and diseases, such as Alzheimer's disease, frontotemporal lobar degeneration, schizophrenia, hippocampal sclerosis and multiple sclerosis.
Training machine learning algorithms on features extracted from these data to develop tools that can assist diagnosis of these disorders. Comparing patient groups with healthy control groups in statistical analyses, to try and find what parts of the brain are affected and how.
External positions
Academic visitor, University of Oxford
1 Apr 2020 → 31 Mar 2022
Post-doctoral research fellow, University of Oxford
1 Dec 2017 → 31 Mar 2020
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Dive into the research topics where Jorne Laton is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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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ANI419: A novel multimodal predictor of cognitive decline in mild cognitive impairment
1/01/25 → 31/12/26
Project: Fundamental
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IOF3021: IOF GEAR: Artificial Intelligence from bench to bedside in neurology, neurosurgery and psychiatry
Engelborghs, S., Nagels, G., Bruneau, M., Vanderbruggen, N., Baeken, C., Crunelle, C., Moens, M., Duerinck, J., Van Schependom, J., Bjerke, M., Van de Steen, F., De Smedt, A., D'Haeseleer, M., De Raedt, S., Bissay, V., Versijpt, J., Flamez, A., Seynaeve, L., Hostenbach, S., Jansen, A. & Laton, J.
1/01/22 → 31/12/26
Project: Applied
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BRGRD79: Joint R&D 2023: Translating Alzheimer’s molecular biology of cognitive decline to improve diagnostics and therapeutics
1/08/23 → 17/11/23
Project: Policy Based
Research output
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Impact of a Vision-based Smoothing Filter on Schizophrenia Classification
Doan, Q. M., Dinh, T. H., Trung, N. L., Doan, T. X., Dinh, L. D., Laton, J., De Hert, M., Van Schependom, J. & Nagels, G., 2024, 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 1431-1435 5 p. (European Signal Processing Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research
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Value of periodic and aperiodic EEG components to detect cognitive deterioration
Kien, N. D., Akbarian, F., Laton, J., Engelborghs, S., Van Schependom, J., Trung, N. L. & Nagels, G., 2024, 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 1446-1450 5 p. (European Signal Processing Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research
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Transfer learning on structural brain age models to decode cognition in MS: a federated learning approach
Denissen, S., Grothe, M., Vaněčková, M., Uher, T., Laton, J., Kudrna, M., Horáková, D., Kirsch, M., Motýl, J., De Vos, M., Chén, O. Y., Van Schependom, J., Sima, D. M. & Nagels, G., 2023, MedRxiv, 6 p. (medRxiv).Research output: Working paper › Preprint
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Acceptance and Commitment Therapy to Increase Resilience in Chronic Pain Patients: A Clinical Guideline.
Moens, M., Jansen, J., De Smedt, A., Roulaud, M., Billot, M., Laton, J., Rigoard, P. & Goudman, L., Apr 2022, In: Medicina. 58, 4, 12 p., 499.Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Citations (Scopus)111 Downloads (Pure) -
Brain age as a surrogate marker for cognitive performance in multiple sclerosis
Denissen, S., Engemann, D. A., De Cock, A., Costers, L., Baijot, J., Laton, J., Penner, I-K., Grothe, M., Kirsch, M., D'hooghe, M. B., D'Haeseleer, M., Dive, D., De Mey, J., Van Schependom, J., Sima, D. M. & Nagels, G., Oct 2022, In: European Journal of Neurology. 29, 10, p. 3039-3049 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Citations (Scopus)102 Downloads (Pure)
Activities
- 1 Talk or presentation at a conference
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Cortical mapping of painful electrical stimulation by quantitative electroencephalography: unravelling the time-frequency-channel domain
Lisa Goudman (Speaker), Jorne Laton (Contributor), Eva Huysmans (Contributor) & Maarten Moens (Contributor)
30 Sep 2017Activity: Talk or presentation › Talk or presentation at a conference
Press/Media
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How to compare cognitive scores in MS?
Stijn Denissen, Lars Costers, Jorne Laton & Johan Baijot
12/11/20
1 Media contribution
Press/Media: Research
Thesis
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Neurofysiologie van cognitie in MS: frequentie analyse van resting-state EEG
Author: Boudiba, Y., Nagels, G., Laton, J. & Van Schependom, J., 2017Student thesis: Master's Thesis
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Optimisation of a federated learning architecture for brainage
Author: Heydarzadeh, F., Nagels, G., Van Schependom, J., Laton, J. & Tran Din, H., 2024Supervisor: Denissen, S. (Advisor)
Student thesis: Master's Thesis
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Patroonherkenning voor neurofysiologische signalen
Author: Laton, J. & Jansen, B., 2013Student thesis: Master's Thesis