Menu

School
  • Technology
  • Institute
  • Brain Mapping Unit
  • Other Interdiciplinary Incentives

  • Language Sciences
  • Research Focus

    Keywords

  • Brain Networks
  • Machine Learning
  • NLP
  • Clinical Conditions

  • Schizophrenia
  • Psychotic disorders
  • Equipment & Techniques

  • Magnetic resonance imaging (MRI)
  • Science Culture

  • Equality, Diversity, Inclusion and Wellbeing
  • Mentorship
  • Public Engagement
  • Back

    Dr Sarah Morgan

    (she/her/hers)
    University Position
    Senior Research Associate
    Dr Sarah Morgan is pleased to consider applications from prospective PhD students.

    Interests

    My research draws on machine learning, network science and Natural Language Processing to better understand and predict brain development, cognition and mental health. I am an Accelerate Science Research Fellow at the Department of Computer Science and Technology, a Senior Research Associate at the Department of Psychiatry and a Fellow at The Alan Turing Institute. I completed my PhD in the Theory of Condensed Matter group at the Cavendish Laboratory (Cambridge Physics Department).

    Key Publications

    Sexually divergent development of depression-related brain networks during healthy human adolescence.

    DOI: http://doi.org/10.1126/sciadv.abm7825
    Journal: Sci Adv
    E-pub date: 27 May 2022
    Authors: L Dorfschmidt, RA Bethlehem, J Seidlitz, F Váša, SR White, R Romero-García, MG Kitzbichler, AR Aruldass, SE Morgan, IM Goodyer, P Fonagy, PB Jones, RJ Dolan, NSPN Consortium, NA Harrison, PE Vértes, ET Bullmore

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

    DOI: http://doi.org/10.1073/pnas.1820754116
    Journal: Proc Natl Acad Sci U S A
    E-pub date: 7 May 2019
    Authors: SE Morgan, J Seidlitz, KJ Whitaker, R Romero-Garcia, NE Clifton, C Scarpazza, T van Amelsvoort, M Marcelis, J van Os, G Donohoe, D Mothersill, A Corvin, A Pocklington, A Raznahan, P McGuire, PE Vértes, ET Bullmore

    Publications

    Brain charts for the human lifespan

    DOI: http://doi.org/10.1038/s41586-022-04554-y
    Journal: Nature
    E-pub date: 6 Apr 2022
    Authors: RAI Bethlehem, J Seidlitz, SR White, JW Vogel, KM Anderson, C Adamson, S Adler, GS Alexopoulos, E Anagnostou, A Areces-Gonzalez, DE Astle, B Auyeung, M Ayub, G Ball, S Baron-Cohen, R Beare, SA Bedford, V Benegal, F Beyer, J Bin Bae, J Blangero, M Blesa Cábez, JP Boardman, M Borzage, JF Bosch-Bayard, N Bourke, VD Calhoun, MM Chakravarty, C Chen, C Chertavian, G Chetelat, YS Chong, JH Cole, A Corvin, E Courchesne, F Crivello, VL Cropley, J Crosbie, N Crossley, M Delarue, S Desrivieres, G Devenyi, MA Di Biase, R Dolan, KA Donald, G Donohoe, K Dunlop, AD Edwards, JT Elison, CT Ellis, JA Elman, L Eyler, DA Fair, PC Fletcher, P Fonagy, CE Franz, L Galan-Garcia, A Gholipour, J Giedd, JH Gilmore, DC Glahn, I Goodyer, PE Grant, NA Groenewold, FM Gunning, RE Gur, RC Gur, CF Hammill, O Hansson, T Hedden, A Heinz, R Henson, K Heuer, J Hoare, B Holla, AJ Holmes, R Holt, H Huang, K Im, J Ipser, CR Jack, AP Jackowski, T Jia, KA Johnson, PB Jones, DT Jones, R Kahn, H Karlsson, L Karlsson, R Kawashima, EA Kelley, S Kern, K Kim, MG Kitzbichler, WS Kremen, F Lalonde, B Landeau, S Lee, J Lerch, JD Lewis, J Li, W Liao, DP Linares, C Liston, MV Lombardo, J Lv, C Lynch, TT Mallard, M Marcelis, RD Markello, B Mazoyer, P McGuire, MJ Meaney, A Mechelli, N Medic, B Misic, SE Morgan, D Mothersill, J Nigg, MQW Ong, C Ortinau, R Ossenkoppele, M Ouyang, L Palaniyappan, L Paly, PM Pan, C Pantelis, MM Park, T Paus, Z Pausova, A Pichet Binette, K Pierce, X Qian, J Qiu, A Qiu, A Raznahan, T Rittman, CK Rollins, R Romero-Garcia, L Ronan, MD Rosenberg, DH Rowitch, GA Salum, TD Satterthwaite, HL Schaare, RJ Schachar, AP Schultz, G Schumann, M Schöll, D Sharp, RT Shinohara, I Skoog, CD Smyser, RA Sperling, DJ Stein, A Stolicyn, J Suckling, G Sullivan, Y Taki, B Thyreau, R Toro, KA Tsvetanov, NB Turk-Browne, JJ Tuulari, C Tzourio, É Vachon-Presseau, MJ Valdes-Sosa, PA Valdes-Sosa, SL Valk, T van Amelsvoort, SN Vandekar, L Vasung, LW Victoria, S Villeneuve, A Villringer, PE Vértes, K Wagstyl, YS Wang, SK Warfield, V Warrier, E Westman, ML Westwater, HC Whalley, AV Witte, N Yang, BTT Yeo, HJ Yun, A Zalesky, HJ Zar, A Zettergren, JH Zhou, H Ziauddeen, A Zugman, XN Zuo, AF Alexander-Bloch, AIBL, Alzheimer’s Disease Neuroimaging Initiative, Alzheimer’s Disease Repository Without Borders Investigators, ASRB, CALM Team, Cam-CAN, CCNP, 3R-BRAIN, COBRE, ENIGMA Developmental Brain Age working group, FinnBrain, Harvard Aging Brain Study, IMAGEN, KNE96, NSPN, OASIS-3, OpenPain Project, POND, The PREVENT-AD Research Group, VETSA, Bullmore, E.T

    Dysconnectivity of a brain functional network was associated with blood inflammatory markers in depression.

    DOI: http://doi.org/10.1016/j.bbi.2021.08.226
    Journal: Brain Behav Immun
    E-pub date: 1 Nov 2021
    Authors: AR Aruldass, MG Kitzbichler, SE Morgan, S Lim, M-E Lynall, L Turner, P Vertes, Wellcome Trust Consortium for Neuroimmunology of Mood Disorders and Alzheimer’s Disease (NIMA), J Cavanagh, P Cowen, CM Pariante, NA Harrison, ET Bullmore