Dr. J.M.C. (Joe) Bathelt
Universitair Docent in Klinische Neuropsychologie/Brein & Cognitie
Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Brain & Cognition
Bezoekadres
- Nieuwe Achtergracht 129
- Kamernummer: G0.08
Postadres
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Postbus 15915
1001 NK Amsterdam
Contactgegevens
Social media
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Profile
Dr. Joe Bathelt is an Assistant Professor in Clinical Neuropsychology at the Department of Psychology, University of Amsterdam, and member of the Amsterdam Brain & Cognition group. After obtaining his PhD in Developmental Cognitive Neuroscience at University College London, he worked as a postdoctoral research fellow on various grants at the University of Cambridge and University of Amsterdam. He previously held a position as senior lecturer at Royal Holloway, University of London.
In his research, Dr. Bathelt focuses on:
- Understanding the neural basis of cognitive development, especially in neurodevelopmental conditions such as autism and ADHD.
- Utilising advanced neuroimaging and computational modelling techniques to study the developing brain.
- Investigating the interplay between genetic and environmental factors in shaping cognitive abilities.
Dr. Bathelt's commitment to academia is reflected in his extensive teaching experience across prestigious institutions and his supervision of a diverse range of student research projects. An advocate for open science, he contributes to the field through significant editorial work. His efforts in public engagement and outreach further bridge the gap between complex neuroscience research and public understanding.
Research expertise
- Clinical Neuropsychology
- Brain Development
- Atypical Development
- Autism
- Attention Deficit Hyperactivity Disorder
- Childhood
- Adolescence
Media appearances
- Newsweek: “Strategies for Keeping Children on the Autism Spectrum Engaged and Learning” [19/10/2023]
- Huffpost: “8 Things Parents Of Kids With Learning Disabilities Need To Understand” [14/06/2023]
- Lastly: “Early Behavioural Problems Predict Adolescent Mental Health Difficulties: Study” [15/02/2021]
- EurekAlert!: “Early behavioural problems predict adolescent mental health difficulties” [10/02/2021]
- Spectrum: “Older autistic adults may retain strong visual abilities” [02/03/2020]
- Psychology Today: “New AI Study Links Learning Disabilities to Brain Hubs” [11/04/2020]
- Cosmos Magazine: “Learning difficulties linked to poor brain connectivity” [02/03/2020]
- BBC News: “Learning difficulties ‘link to brain connections’” [[27/02/2020]]
- The Guardian: “Brain wiring could be behind learning difficulties” [27/02/2020]
- TES Magazine: “Why a diagnosis should not dictate the intervention offered to SEND pupils” [02/11/2018]
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Research
Research methods
- Functional MRI
- EEG
- Event-Related Potentials
- Connectomics
- Brain Network Analysis
Research grants
2022
- Sponsored studentship, Royal Holloway & HEC Pakistan (£50k, as supervisor)
- Doctoral Network, Horizon-Europe (€2.6mil, as Co-Investigator)
2020
- Seed Fund, Royal Holloway, University of London (£10k)
2018
- Talent Grant, Amsterdam Brain & Cognition (€125k)
- Top 1% Reviewer in Neuroscience & Behaviour
- Publons Travel Award, International Mind, Brain, and Education Society ($1k)
- Travel Award, Guarantors of Brain (£820)
- Research Prize, Sparrho (£500)
2017
- Travel Award, Guarantors of Brain (£500)
- Accelerated promotion, MRC (£31,000 pa)
2016
- Public engagement award, “I’m a scientist - get me out of here” (£500)
- Exceptional performance award, MRC
- Conference travel grant, Experimental Psychology Society (£500)
- Research Associate fellowship, Corpus Christi College
2015
- Post-doctoral fellowship (Bathelt and Astle), MRC (£236k)
2014
- Bogue Research Fellowships for lab visit in the US, UCL (£2,500)
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Teaching
Undergraduate
- Clinical Neuropsychology
- Clinical Neuropsychology for Psychobiology
- Clinical Neuropsychology Research
- BSc Thesis Project Supervision
- Psychobiology Internship Supervision
Postgraduate
- BOLD fMRI
- Dissertation Research Supervision
- Research Master Internship Supervision
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Publicaties
2023
Agelink van Rentergem, J. A., Bathelt, J., & Geurts, H. M. (2023). Clinical subtyping using community detection: Limited utility? International Journal of Methods in Psychiatric Research, 32(2), Article e1951. https://doi.org/10.1002/mpr.1951 [details]- Deserno, M. K., Bathelt, J., Groenman, A. P., & Geurts, H. M. (2023). Probing the overarching continuum theory: data-driven phenotypic clustering of children with ASD or ADHD. European Child and Adolescent Psychiatry, 32(10), 1909–1923. https://doi.org/10.1007/s00787-022-01986-9 [details]
- Mareva, S., Akarca, D., The CALM Team, & Holmes, J. (2023). Transdiagnostic profiles of behaviour and communication relate to academic and socioemotional functioning and neural white matter organisation. Journal of Child Psychology and Psychiatry and Allied Disciplines, 64(2), 217-233. Advance online publication. https://doi.org/10.1111/jcpp.13685
2022
- Bathelt, J., Geurts, H. M., & Borsboom, D. (2022). More than the sum of its parts: Merging network psychometrics and network neuroscience with application in autism. Network Neuroscience, 6(2), 445-466. Advance online publication. https://doi.org/10.1162/netn_a_00222 [details]
- Bathelt, J., Koolschijn, P. C. M. P., & Geurts, H. M. (2022). Atypically slow processing of faces and non-faces in older autistic adults. Autism, 26(7), 1737–1751. Advance online publication. https://doi.org/10.1177/13623613211065297 [details]
- Xie, W., Bathelt, J., Fasman, A., Nelson, C. A., & Bosquet Enlow, M. (2022). Temperament and psychopathology: The "community" to which you belong matters. Child Development, 93(4), 995-1011. https://doi.org/10.1111/cdev.13742
2021
- Bathelt, J., & Geurts, H. M. (2021). Difference in default mode network subsystems in autism across childhood and adolescence. Autism, 25(2), 556-565. Advance online publication. https://doi.org/10.1177/1362361320969258 [details]
- Bathelt, J., Vignoles, A., & Astle, D. E. (2021). Just a phase? Mapping the transition of behavioural problems from childhood to adolescence. Social Psychiatry and Psychiatric Epidemiology, 56(5), 821-836. https://doi.org/10.1007/s00127-020-02014-4
- Blanken, T. F., Bathelt, J., Deserno, M. K., Voge, L., Borsboom, D., & Douw, L. (2021). Connecting brain and behavior in clinical neuroscience: A network approach. Neuroscience and Biobehavioral Reviews, 130, 81-90. https://doi.org/10.1016/j.neubiorev.2021.07.027 [details]
- The CALM Team (2021). A generative network model of neurodevelopmental diversity in structural brain organization. Nature Communications, 12(1), Article 4216. https://doi.org/10.1038/s41467-021-24430-z
- The RED Team (2021). Far and wide: Associations between childhood socio-economic status and brain connectomics. Developmental Cognitive Neuroscience, 48, Article 100888. https://doi.org/10.1016/j.dcn.2020.100888
- Visser, R. M., Bathelt, J., Scholte, H. S., & Kindt, M. (2021). Robust BOLD Responses to Faces But Not to Conditioned Threat: Challenging the Amygdala’s Reputation in Human Fear and Extinction Learning. Journal of Neuroscience, 41(50), 10278-10292. https://doi.org/10.1523/JNEUROSCI.0857-21.2021 [details]
2020
- Bathelt, J., Dale, N. J., de Haan, M., & Clark, C. A. (2020). Brain structure in children with congenital visual disorders and visual impairment. Developmental Medicine and Child Neurology, 62(1), 125-131. https://doi.org/10.1111/dmcn.14322 [details]
- Bathelt, J., Downes, M., & De Haan, M. (2020). Brain Development: Function. In Encyclopedia of Infant and Early Childhood Development (2nd ed., pp. 192-204). Elsevier. https://doi.org/10.1016/B978-0-12-809324-5.22830-7
- Bathelt, J., Koolschijn, P. C., & Geurts, H. M. (2020). Age-variant and age-invariant features of functional brain organization in middle-aged and older autistic adults. Molecular Autism, 11, Article 9. https://doi.org/10.1186/s13229-020-0316-y [details]
- Fuhrmann, D., Simpson-Kent, I. L., Bathelt, J., & Kievit, R. A. (2020). A Hierarchical Watershed Model of Fluid Intelligence in Childhood and Adolescence. Cerebral Cortex, 30(1), 339–352. https://doi.org/10.1093/cercor/bhz091 [details]
- Rennie, J. P., Zhang, M., Hawkins, E., Bathelt, J., & Astle, D. E. (2020). Mapping differential responses to cognitive training using machine learning. Developmental Science, 23(4), Article e12868. Advance online publication. https://doi.org/10.1111/desc.12868 [details]
- Simpson-Kent, I. L., Fuhrmann, D., Bathelt, J., Achterberg, J., Borgeest, G. S., & The CALM Team (2020). Neurocognitive reorganization between crystallized intelligence, fluid intelligence and white matter microstructure in two age-heterogeneous developmental cohorts. Developmental Cognitive Neuroscience, 41, Article 100743. https://doi.org/10.1016/j.dcn.2019.100743 [details]
- Siugzdaite, R., Bathelt, J., Holmes, J., & Astle, D. E. (2020). Transdiagnostic Brain Mapping in Developmental Disorders. Current Biology, 30(7), 1245-1257.e4. https://doi.org/10.1016/j.cub.2020.01.078
2019
- Astle, D. E., Bathelt, J., The CALM Team, & Holmes, J. (2019). Remapping the cognitive and neural profiles of children who struggle at school. Developmental Science, 22(1), Article e12747. https://doi.org/10.1111/desc.12747 [details]
- Bathelt, J., Johnson, A., Zhang, M., & Astle, D. (2019). The cingulum as a marker of individual differences in neurocognitive development. Scientific Reports, 9, Article 2281. https://doi.org/10.1038/s41598-019-38894-z [details]
- Bathelt, J., Scerif, G., Nobre, A. C., & Astle, D. E. (2019). Whole-brain white matter organization, intelligence, and educational attainment. Trends in Neuroscience and Education, 15, 38-47. https://doi.org/10.1016/j.tine.2019.02.004 [details]
- Bathelt, J., de Haan, M., & Dale, N. J. (2019). Adaptive behaviour and quality of life in school-age children with congenital visual disorders and different levels of visual impairment. Reseach in Developmental Disabilities, 85, 154-162. https://doi.org/10.1016/j.ridd.2018.12.003 [details]
- Brown, P., RELISH Consortium, & Zhou, Y. (2019). Large expert-curated database for benchmarking document similarity detection in biomedical literature search. Database, 2019, Article baz085. https://doi.org/10.1093/database/baz085 [details]
- Scheller, M., Garcia, S., Bathelt, J., de Haan, M., & Petrini, K. (2019). Active touch facilitates object size perception in children but not adults: A multisensory event related potential study. Brain Research, 1723, Article 146381. https://doi.org/10.1016/j.brainres.2019.146381 [details]
2018
- Bathelt, J., Gathercole, S. E., Johnson, A., & Astle, D. E. (2018). Differences in brain morphology and working memory capacity across childhood. Developmental Science, 21(3), Article e12579. https://doi.org/10.1111/desc.12579
- Bathelt, J., de Haan, M., Salt, A., & Dale, N. J. (2018). Executive abilities in children with congenital visual impairment in mid-childhood. Child Neuropsychology, 24(2), 184-202. https://doi.org/10.1080/09297049.2016.1240158
- Centre for Attention Learning and Memory (CALM) Team (2018). Data-Driven Subtyping of Executive Function–Related Behavioral Problems in Children. Journal of the American Academy of Child and Adolescent Psychiatry, 57(4), 252-262.e4. https://doi.org/10.1016/j.jaac.2018.01.014
- The CALM Team (2018). Children's academic attainment is linked to the global organization of the white matter connectome. Developmental Science, 21(5), Article e12662. https://doi.org/10.1111/desc.12662
2017
- Bathelt, J., Barnes, J., Raymond, F. L., Baker, K., & Astle, D. (2017). Global and Local Connectivity Differences Converge with Gene Expression in a Neurodevelopmental Disorder of Known Genetic Origin. Cerebral Cortex, 27(7), 3806-3817. https://doi.org/10.1093/cercor/bhx027
- Bathelt, J., Dale, N., & de Haan, M. (2017). Event-related potential response to auditory social stimuli, parent-reported social communicative deficits and autism risk in school-aged children with congenital visual impairment. Developmental Cognitive Neuroscience, 27, 10-18. https://doi.org/10.1016/j.dcn.2017.07.003
- Downes, M., Bathelt, J., & De Haan, M. (2017). Event-related potential measures of executive functioning from preschool to adolescence. Developmental Medicine and Child Neurology, 59(6), 581-590. https://doi.org/10.1111/dmcn.13395
- O'Reilly, M. A., Bathelt, J., Sakkalou, E., Sakki, H., Salt, A., Dale, N. J., & de Haan, M. (2017). Frontal EEG asymmetry and later behavior vulnerability in infants with congenital visual impairment. Clinical Neurophysiology, 128(11), 2191-2199. https://doi.org/10.1016/j.clinph.2017.08.016
2016
- Bathelt, J., Astle, D., Barnes, J., Raymond, F. L., & Baker, K. (2016). Structural brain abnormalities in a single gene disorder associated with epilepsy, language impairment and intellectual disability. NeuroImage: Clinical, 12, 655-665. https://doi.org/10.1016/j.nicl.2016.07.016
2014
- Bathelt, J., O'Reilly, H., & de Haan, M. (2014). Cortical source analysis of high-density EEG recordings in children. Journal of Visualized Experiments, (88), Article e51705. https://doi.org/10.3791/51705
2013
- Bathelt, J., O'Reilly, H., Clayden, J. D., Cross, J. H., & De Haan, M. (2013). Functional brain network organisation of children between 2 and 5years derived from reconstructed activity of cortical sources of high-density EEG recordings. NeuroImage, 82, 595-604. https://doi.org/10.1016/j.neuroimage.2013.06.003
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Nevenwerkzaamheden
Geen nevenwerkzaamheden
Agelink van Rentergem, J. A., Bathelt, J., & Geurts, H. M. (2023). Clinical subtyping using community detection: Limited utility? International Journal of Methods in Psychiatric Research, 32(2), Article e1951.