King's College London

Research portal

Dr Cristina Scarpazza

  1. Machine learning for brain age prediction: Introduction to methods and clinical applications

    Baecker, L., Garcia-dias, R., Vieira, S., Scarpazza, C. & Mechelli, A., Oct 2021, In: EBioMedicine. 72, p. 103600 103600.

    Research output: Contribution to journalReview articlepeer-review

  2. Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer’s disease in a cross-sectional multi-cohort study

    Lopez Pinaya, W., Scarpazza, C., Garcia Dias, R., Vieira, S., Baecker, L., Da Costa, P. F., Redolfi, A., Frisoni, G., Pievani, M., Calhoun, V., Sato, J. & Mechelli, A., 22 Jun 2021, (Accepted/In press) In: Scientific Reports.

    Research output: Contribution to journalArticlepeer-review

  3. Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics

    Lei, D., Pinaya, W. H. L., Van Amelsvoort, T., Marcelis, M., Donohoe, G., Mothersill, D. O., Corvin, A., Gill, M., Vieira, S., Huang, X., Lui, S., Scarpazza, C., Young, J., Arango, C., Bullmore, E., Gong, Q., McGuire, P. & Mechelli, A., Aug 2020, In: Psychological medicine. 50, 11, p. 1852-1861

    Research output: Contribution to journalArticlepeer-review

  4. Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners

    Garcia Dias, R., Scarpazza, C., Baecker, L., Mendes Vieira, S., Lopez Pinaya, W., Corvin, A., Redolf, A., Nelson, B., Crespo-Facorro, B., McDonald, C., Tordesillas-Gutiérrez, D., Cannon, D., Mothersill, D., Hernaus, D., Morris, D., Setien-Suero, E., Donohoe, G., Frisoniq, G., Tronchin, G., Sato, J. & 15 others, Marcelis, M., Kempton, M., van Haren, N. E. M., Gruber, O., McGorry, P., Amminger, P., McGuire, P., Gong, Q., Kahnz, R. S., Ayesa-Arriola, R., van Amelsvoort, T., Ortiz-Garcia de la Foz, V., Calhoun, V., Cahn, W. & Mechelli, A., 30 Jun 2020, (Accepted/In press) In: NeuroImage.

    Research output: Contribution to journalArticlepeer-review

  5. Integrating machining learning and multi-modal neuroimaging to detect schizophrenia at the level of the individual

    Lei, D., Pinaya, W. H. L., Young, J., Amelsvoort, T., Marcelis, M., Donohoe, G., Mothersill, D. O., Corvin, A., Vieira, S., Huang, X., Lui, S., Scarpazza, C., Arango, C., Bullmore, E., Gong, Q., Mcguire, P. & Mechelli, A., 1 Apr 2020, In: Human Brain Mapping. 41, 5, p. 1119-1135

    Research output: Contribution to journalArticlepeer-review

  6. Functional Magnetic Resonance Imaging Connectivity Accurately Distinguishes Cases With Psychotic Disorders From Healthy Controls, Based on Cortical Features Associated With Brain Network Development

    Morgan, S. E., Young, J., Patel, A. X., Whitaker, K. J., Scarpazza, C., van Amelsvoort, T., Marcelis, M., van Os, J., Donohoe, G., Mothersill, D., Corvin, A., Arango, C., Mechelli, A., van den Heuvel, M., Kahn, R. S., McGuire, P., Brammer, M. & Bullmore, E. T., 1 Jan 2020, (Accepted/In press) In: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.

    Research output: Contribution to journalArticlepeer-review

  7. Using machine learning and structural neuroimaging to detect first episode psychosis: reconsidering the evidence

    Mendes Vieira, S., Gong, Q., Pinaya, W. H. L., Scarpazza, C., Tognin, S., Crespo-Facorro, B., Tordesillas-Gutierrez, D., Ortiz-Garcia, V., Setién-Suero, E., Scheepers, F., van Haren, N. E. M., Kahn, R. S., Reis Marques, T., Murray, R., David, A., Dazzan, P., McGuire, P. & Mechelli, A., Jan 2020, In: Schizophrenia Bulletin. 46, 1, p. 17–26 10 p.

    Research output: Contribution to journalArticlepeer-review

  8. Neuroanatomical abnormalities in first episode psychosis across independent samples: a multi-centre mega-analysis

    Mendes Vieira, S., Gong, Q., Scarpazza, C., Lui, S., Huang, X., Crespo-Facorro, B., Tordesillas-Gutierrez, D., Ortiz-Garcia, V., Setién-Suero, E., Scheepers, F., van Hareni, N. E. M., Kahn, R., Reis Marques, T., Ciufolini, S., Di Forti, M., Murray, R. M., David, A., Dazzan, P., McGuire, P. & Mechelli, A., 20 Dec 2019, (E-pub ahead of print) In: Psychological Medicine. 51, 2, p. 340 - 350

    Research output: Contribution to journalArticlepeer-review

  9. Systematic Review and Multi-Modal Meta-Analysis of Magnetic Resonance Imaging Findings in 22q11.2 Deletion Syndrome: is more evidence needed?

    Scarpazza, C., Lattanzi, G. M., Antoniades, M. J., Di Fabio, F., Sartori, G., Eickhoff, S., McGuire, P. & Tognin, S., 1 Sep 2019, (Accepted/In press) In: Neuroscience and biobehavioral reviews.

    Research output: Contribution to journalArticlepeer-review

  10. Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes

    Morgan, S. E., Seidlitz, J., Whitaker, K. J., Romero-Garcia, R., Clifton, N. E., Scarpazza, C., van Amelsvoort, T., Marcelis, M., van Os, J., Donohoe, G., Mothersill, D., Corvin, A., Pocklington, A., Raznahan, A., McGuire, P., Vértes, P. E. & Bullmore, E. T., 7 May 2019, In: Proceedings of the National Academy of Sciences of the United States of America. 116, 19, p. 9604-9609 6 p.

    Research output: Contribution to journalArticlepeer-review

  11. Applications of machine learning to brain disorders

    Scarpazza, C., Baecker, L., Vieira, S. & Mechelli, A., 1 Jan 2019, Machine Learning: Methods and Applications to Brain Disorders. Elsevier, p. 45-65 21 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  12. A transdiagnostic neuroanatomical signature of psychiatric illness

    Gong, Q., Scarpazza, C., Dai, J., He, M., Xu, X., Shi, Y., Zhou, B., Vieira, S., Mccrory, E., Ai, Y., Yang, C., Zhang, F., Lui, S. & Mechelli, A., 8 Aug 2018, In: Neuropsychopharmacology.

    Research output: Contribution to journalArticlepeer-review

  13. Neuropsychological profile of mild temporal lobe epilepsy

    Vaccaro, M. G., Trimboli, M., Scarpazza, C., Palermo, L., Bruni, A., Gambardella, A. & Labate, A., 2 Jul 2018, (E-pub ahead of print) In: Epilepsy & Behavior.

    Research output: Contribution to journalArticlepeer-review

  14. Subjective recollection independent from multifeatural context retrieval following damage to the posterior parietal cortex

    Ciaramelli, E., Faggi, G., Scarpazza, C., Mattioli, F., Spaniol, J., Ghetti, S. & Moscovitch, M., 1 Apr 2017, (E-pub ahead of print) In: Cortex.

    Research output: Contribution to journalArticlepeer-review

  15. Neural bases of prospective memory: A meta-analysis and the "Attention to Delayed Intention" (AtoDI) model

    Cona, G., Scarpazza, C., Sartori, G., Moscovitch, M. & Bisiacchi, P. S., 1 May 2015, In: Neuroscience and Biobehavioral Reviews. 52, p. 21-37 17 p.

    Research output: Contribution to journalReview articlepeer-review

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