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Cambridge Language Sciences

Interdisciplinary Research Centre
 

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Publication (Symplectic Elements)

Datasets

2022 (No publication date)

  • Zhukovsky, P., Savulich, G., Morgan, S., Dalley, J., Williams, G. and Ersche, KD., 2022 (No publication date). Data supporting "Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing"
    Doi: 10.17863/CAM.81324
  • Journal articles

    2022 (Accepted for publication)

  • Nettekoven, C., Diederen, K., Giles, O., Duncan, H., Stenson, I., Olah, J., Gibbs-Dean, T., Collier, N., Vertes, P., Spencer, T., Morgan, S. and McGuire, P., 2022 (Accepted for publication). Semantic speech networks linked to formal thought disorder in early psychosis Schizophrenia Bulletin,
  • 2022

  • Dorfschmidt, L., Bethlehem, RA., Seidlitz, J., Váša, F., White, SR., Romero-García, R., Kitzbichler, MG., Aruldass, AR., Morgan, SE., Goodyer, IM., Fonagy, P., Jones, PB., Dolan, RJ., NSPN Consortium, , Harrison, NA., Vértes, PE. and Bullmore, ET., 2022. Sexually divergent development of depression-related brain networks during healthy human adolescence. Sci Adv, v. 8
    Doi: 10.1126/sciadv.abm7825
  • Bethlehem, RAI., Seidlitz, J., White, SR., Vogel, JW., Anderson, KM., Adamson, C., Adler, S., Alexopoulos, GS., Anagnostou, E., Areces-Gonzalez, A., Astle, DE., Auyeung, B., Ayub, M., Bae, J., Ball, G., Baron-Cohen, S., Beare, R., Bedford, SA., Benegal, V., Beyer, F., Blangero, J., Blesa Cábez, M., Boardman, JP., Borzage, M., Bosch-Bayard, JF., Bourke, N., Calhoun, VD., Chakravarty, MM., Chen, C., Chertavian, C., Chetelat, G., Chong, YS., Cole, JH., Corvin, A., Costantino, M., Courchesne, E., Crivello, F., Cropley, VL., Crosbie, J., Crossley, N., Delarue, M., Delorme, R., Desrivieres, S., Devenyi, GA., Di Biase, MA., Dolan, R., Donald, KA., Donohoe, G., Dunlop, K., Edwards, AD., Elison, JT., Ellis, CT., Elman, JA., Eyler, L., Fair, DA., Feczko, E., Fletcher, PC., Fonagy, P., Franz, CE., Galan-Garcia, L., Gholipour, A., Giedd, J., Gilmore, JH., Glahn, DC., Goodyer, IM., Grant, PE., Groenewold, NA., Gunning, FM., Gur, RE., Gur, RC., Hammill, CF., Hansson, O., Hedden, T., Heinz, A., Henson, RN., Heuer, K., Hoare, J., Holla, B., Holmes, AJ., Holt, R., Huang, H., Im, K., Ipser, J., Jack, CR., Jackowski, AP., Jia, T., Johnson, KA., Jones, PB., Jones, DT., Kahn, RS., Karlsson, H., Karlsson, L., Kawashima, R., Kelley, EA., Kern, S., Kim, KW., Kitzbichler, MG., Kremen, WS., Lalonde, F., Landeau, B., Lee, S., Lerch, J., Lewis, JD., Li, J., Liao, W., Liston, C., Lombardo, MV., Lv, J., Lynch, C., Mallard, TT., Marcelis, M., Markello, RD., Mathias, SR., Mazoyer, B., McGuire, P., Meaney, MJ., Mechelli, A., Medic, N., Misic, B., Morgan, SE., Mothersill, D., Nigg, J., Ong, MQW., Ortinau, C., Ossenkoppele, R., Ouyang, M., Palaniyappan, L., Paly, L., Pan, PM., Pantelis, C., Park, MM., Paus, T., Pausova, Z., Paz-Linares, D., Pichet Binette, A., Pierce, K., Qian, X., Qiu, J., Qiu, A., Raznahan, A., Rittman, T., Rodrigue, A., Rollins, CK., Romero-Garcia, R., Ronan, L., Rosenberg, MD., Rowitch, DH., Salum, GA., Satterthwaite, TD., Schaare, HL., Schachar, RJ., Schultz, AP., Schumann, G., Schöll, M., Sharp, D., Shinohara, RT., Skoog, I., Smyser, CD., Sperling, RA., Stein, DJ., Stolicyn, A., Suckling, J., Sullivan, G., Taki, Y., Thyreau, B., Toro, R., Traut, N., Tsvetanov, KA., Turk-Browne, NB., Tuulari, JJ., Tzourio, C., Vachon-Presseau, É., Valdes-Sosa, MJ., Valdes-Sosa, PA., Valk, SL., van Amelsvoort, T., Vandekar, SN., Vasung, L., Victoria, LW., Villeneuve, S., Villringer, A., Vértes, PE., Wagstyl, K., Wang, YS., Warfield, SK., Warrier, V., Westman, E., Westwater, ML., Whalley, HC., Witte, AV., Yang, N., Yeo, B., Yun, H., Zalesky, A., Zar, HJ., Zettergren, A., Zhou, JH., Ziauddeen, H., Zugman, A., Zuo, XN., 3R-BRAIN, , AIBL, , Alzheimer’s Disease Neuroimaging Initiative, , Alzheimer’s Disease Repository Without Borders Investigators, , CALM Team, , Cam-CAN, , CCNP, , COBRE, , cVEDA, , ENIGMA Developmental Brain Age Working Group, , Developing Human Connectome Project, , FinnBrain, , Harvard Aging Brain Study, , IMAGEN, , KNE96, , Mayo Clinic Study of Aging, , NSPN, , POND, , PREVENT-AD Research Group, , VETSA, , Bullmore, ET. and Alexander-Bloch, AF., 2022. Publisher Correction: Brain charts for the human lifespan. Nature, v. 610
    Doi: http://doi.org/10.1038/s41586-022-05300-0
  • Zhukovsky, P., Savulich, G., Morgan, S., Dalley, JW., Williams, GB. and Ersche, KD., 2022. Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing. Brain Commun, v. 4
    Doi: 10.1093/braincomms/fcac079
  • 2021

  • Morgan, SE., Young, J., Patel, AX., Whitaker, KJ., 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, RS., McGuire, P., Brammer, M. and Bullmore, ET., 2021. Functional Magnetic Resonance Imaging Connectivity Accurately Distinguishes Cases With Psychotic Disorders From Healthy Controls, Based on Cortical Features Associated With Brain Network Development. Biol Psychiatry Cogn Neurosci Neuroimaging, v. 6
    Doi: 10.1016/j.bpsc.2020.05.013
  • Morgan, S., Diederen, K., Vértes, P., Ip, SHY., Wang, B., Thompson, B., Demjaha, A., De Micheli, A., Oliver, D., Liakata, M., Fusar-Poli, P., Spencer, T. and McGuire, P., 2021. Assessing psychosis risk using quantitative markers of disorganised speech
    Doi: http://doi.org/10.1101/2021.01.04.20248717
  • Aruldass, AR., Kitzbichler, MG., Morgan, SE., Lim, S., Lynall, M-E., Turner, L., Vertes, P., Wellcome Trust Consortium for Neuroimmunology of Mood Disorders and Alzheimer’s Disease (NIMA), , Cavanagh, J., Cowen, P., Pariante, CM., Harrison, NA. and Bullmore, ET., 2021. Dysconnectivity of a brain functional network was associated with blood inflammatory markers in depression. Brain Behav Immun, v. 98
    Doi: 10.1016/j.bbi.2021.08.226
  • Spencer, TJ., Thompson, B., Oliver, D., Diederen, K., Demjaha, A., Weinstein, S., Morgan, SE., Day, F., Valmaggia, L., Rutigliano, G., De Micheli, A., Mota, NB., Fusar-Poli, P. and McGuire, P., 2021. Lower speech connectedness linked to incidence of psychosis in people at clinical high risk. Schizophr Res, v. 228
    Doi: http://doi.org/10.1016/j.schres.2020.09.002
  • Gifford, G., Crossley, N., Morgan, S., Kempton, MJ., Dazzan, P., Modinos, G., Azis, M., Samson, C., Bonoldi, I., Quinn, B., Smart, SE., Antoniades, M., Bossong, MG., Broome, MR., Perez, J., Howes, OD., Stone, JM., Allen, P., Grace, AA. and McGuire, P., 2021. Integrated metastate functional connectivity networks predict change in symptom severity in clinical high risk for psychosis. Hum Brain Mapp, v. 42
    Doi: http://doi.org/10.1002/hbm.25235
  • Morgan, SE., Diederen, K., Vértes, PE., Ip, SHY., Wang, B., Thompson, B., Demjaha, A., De Micheli, A., Oliver, D., Liakata, M., Fusar-Poli, P., Spencer, TJ. and McGuire, P., 2021. Natural Language Processing markers in first episode psychosis and people at clinical high-risk. Transl Psychiatry, v. 11
    Doi: 10.1038/s41398-021-01722-y
  • 2020

  • Gifford, G., Crossley, N., Kempton, MJ., Morgan, S., Dazzan, P., Young, J. and McGuire, P., 2020. Resting state fMRI based multilayer network configuration in patients with schizophrenia. Neuroimage Clin, v. 25
    Doi: http://doi.org/10.1016/j.nicl.2020.102169
  • Shen, C., Luo, Q., Chamberlain, SR., Morgan, S., Romero-Garcia, R., Du, J., Zhao, X., Touchette, É., Montplaisir, J., Vitaro, F., Boivin, M., Tremblay, RE., Zhao, X-M., Robaey, P., Feng, J. and Sahakian, BJ., 2020. What Is the Link Between Attention-Deficit/Hyperactivity Disorder and Sleep Disturbance? A Multimodal Examination of Longitudinal Relationships and Brain Structure Using Large-Scale Population-Based Cohorts. Biol Psychiatry, v. 88
    Doi: http://doi.org/10.1016/j.biopsych.2020.03.010
  • Seidlitz, J., Nadig, A., Liu, S., Bethlehem, RAI., Vértes, PE., Morgan, SE., Váša, F., Romero-Garcia, R., Lalonde, FM., Clasen, LS., Blumenthal, JD., Paquola, C., Bernhardt, B., Wagstyl, K., Polioudakis, D., de la Torre-Ubieta, L., Geschwind, DH., Han, JC., Lee, NR., Murphy, DG., Bullmore, ET. and Raznahan, A., 2020. Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders. Nat Commun, v. 11
    Doi: 10.1038/s41467-020-17051-5
  • Romero-Garcia, R., Seidlitz, J., Whitaker, KJ., Morgan, SE., Fonagy, P., Dolan, RJ., Jones, PB., Goodyer, IM., Suckling, J., NSPN Consortium, , Vértes, PE. and Bullmore, ET., 2020. Schizotypy-Related Magnetization of Cortex in Healthy Adolescence Is Colocated With Expression of Schizophrenia-Related Genes. Biol Psychiatry, v. 88
    Doi: 10.1016/j.biopsych.2019.12.005
  • Seidlitz, J., Nadig, A., Liu, S., Bethlehem, RAI., Vértes, PE., Morgan, SE., Váša, F., Romero-Garcia, R., Lalonde, FM., Clasen, LS., Blumenthal, JD., Paquola, C., Bernhardt, B., Wagstyl, K., Polioudakis, D., de la Torre-Ubieta, L., Geschwind, DH., Han, JC., Lee, NR., Murphy, DG., Bullmore, ET. and Raznahan, A., 2020. Author Correction: Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders. Nat Commun, v. 11
    Doi: http://doi.org/10.1038/s41467-020-19362-z
  • 2019

  • Morgan, SE., Seidlitz, J., Whitaker, KJ., Romero-Garcia, R., Clifton, NE., Scarpazza, C., van Amelsvoort, T., Marcelis, M., van Os, J., Donohoe, G., Mothersill, D., Corvin, A., Pocklington, A., Raznahan, A., McGuire, P., Vértes, PE. and Bullmore, ET., 2019. Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes. Proc Natl Acad Sci U S A, v. 116
    Doi: 10.1073/pnas.1820754116
  • Morgan, S., Young, J., Patel, A., Whitaker, K., 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., McGuire, P., Brammer, M. and Bullmore, E., 2019. Functional MRI connectivity accurately distinguishes cases with psychotic disorders from healthy controls, based on cortical features associated with neurodevelopment
    Doi: http://doi.org/10.1101/19009894
  • 2018 (Accepted for publication)

  • Morgan, SE., White, S., Bullmore, ET. and Vertes, P., 2018 (Accepted for publication). A network neuroscience approach to typical and atypical brain development Biological Psychiatry: Cognitive Neuroscience and Neuroimaging,
  • 2018

  • Morgan, SE., Achard, S., Termenon, M., Bullmore, ET. and Vértes, PE., 2018. Low-dimensional morphospace of topological motifs in human fMRI brain networks. Netw Neurosci, v. 2
    Doi: 10.1162/netn_a_00038
  • Morgan, SE., White, SR., Bullmore, ET. and Vértes, PE., 2018. A Network Neuroscience Approach to Typical and Atypical Brain Development. Biol Psychiatry Cogn Neurosci Neuroimaging, v. 3
    Doi: 10.1016/j.bpsc.2018.03.003
  • 2017

  • Romero, E., Prior, J., Chin, AW., Morgan, SE., Novoderezhkin, VI., Plenio, MB. and van Grondelle, R., 2017. Quantum - coherent dynamics in photosynthetic charge separation revealed by wavelet analysis. Sci Rep, v. 7
    Doi: http://doi.org/10.1038/s41598-017-02906-7
  • 2016

  • Bakulin, AA., Morgan, SE., Kehoe, TB., Wilson, MWB., Chin, AW., Zigmantas, D., Egorova, D. and Rao, A., 2016. Real-time observation of multiexcitonic states in ultrafast singlet fission using coherent 2D electronic spectroscopy. Nat Chem, v. 8
    Doi: http://doi.org/10.1038/nchem.2371
  • Morgan, SE., Cole, DJ. and Chin, AW., 2016. Nonlinear network model analysis of vibrational energy transfer and localisation in the Fenna-Matthews-Olson complex Scientific Reports, v. 6
    Doi: http://doi.org/10.1038/srep36703
  • Conference proceedings

    2021

  • Sebenius, I., Campbell, A., Morgan, SE., Bullmore, ET. and Lio, P., 2021. Multimodal Graph Coarsening for Interpretable, MRI-Based Brain Graph Neural Network IEEE International Workshop on Machine Learning for Signal Processing, MLSP, v. 2021-January
    Doi: http://doi.org/10.1109/MLSP52302.2021.9690626
  • 2015

  • Bakulin, AA., Morgan, SE., Alster, J., Egorova, D., Chin, A., Zigmantas, D. and Rao, A., 2015. Vibrational coherence reveals the role of dark multiexciton states in ultrafast singlet exciton fission Springer Proceedings in Physics, v. 162
    Doi: http://doi.org/10.1007/978-3-319-13242-6_54
  • 2014

  • Bakulin Artem A., AA., Morgan, SE., Alster, J., Egorova, D., Chin, A., Zigmantas, D. and Rao, A., 2014. Vibrational coherence reveals the role of dark multiexciton states in ultrafast singlet exciton fission Optics InfoBase Conference Papers,
    Doi: http://doi.org/10.1364/up.2014.11.fri.a.4
  • Internet publications

    2018

  • Morgan, S., Seidlitz, J., Whitaker, K., Romero-Garcia, R., Clifton, N., Scarpazza, C., Amelsvoort, TV., Marcelis, M., Os, JV., Donohoe, G., Mothersill, D., Corvin, A., Pocklington, A., Raznahan, A., McGuire, P., Vértes, P., Bullmore, E. and The PSYSCAN Consortium, , 2018. Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia related genes
    Doi: http://doi.org/10.1101/501494
  • Books

    2017

  • Morgan, SE., 2017. Ultrafast Quantum Effects and Vibrational Dynamics in Organic and Biological Systems
    Doi: http://doi.org/10.1007/978-3-319-63399-2
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    What we do

    Cambridge Language Sciences is an Interdisciplinary Research Centre at the University of Cambridge. Our virtual network connects researchers from five schools across the university as well as other world-leading research institutions. Our aim is to strengthen research collaborations and knowledge transfer across disciplines in order to address large-scale multi-disciplinary research challenges relating to language research.

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