Department of Psychiatry

Yufei Ren

Dr Sarah Morgan

Journal articles

2024

Olah, J., Cummins, N., Arribas, M., Gibbs-Dean, T., Molina, E., Sethi, D., Kempton, MJ., Morgan, S., Spencer, T. and Diederen, K., 2024. Towards a scalable approach to assess speech organization across the psychosis-spectrum -online assessment in conjunction with automated transcription and extraction of speech measures. Transl Psychiatry, v. 14
Doi: http://doi.org/10.1038/s41398-024-02851-w

2023

Nettekoven, CR., Diederen, K., Giles, O., Duncan, H., Stenson, I., Olah, J., Gibbs-Dean, T., Collier, N., Vértes, PE., Spencer, TJ., Morgan, SE. and McGuire, P., 2023. Semantic Speech Networks Linked to Formal Thought Disorder in Early Psychosis. Schizophr Bull, v. 49
Doi: 10.1093/schbul/sbac056

Sebenius, I., Seidlitz, J., Warrier, V., Bethlehem, RAI., Alexander-Bloch, A., Mallard, TT., Garcia, RR., Bullmore, ET. and Morgan, SE., 2023. Robust estimation of cortical similarity networks from brain MRI. Nat Neurosci, v. 26
Doi: http://doi.org/10.1038/s41593-023-01376-7

2022

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

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

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. Brain charts for the human lifespan. Nature, v. 604
Doi: http://doi.org/10.1038/s41586-022-04554-y

2021

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

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

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

Datasets

2023

Zhukovsky, P., Savulich, G., Morgan, S., Dalley, J., Williams, G. and Ersche, KD., 2023. Data supporting "Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing"
Doi: 10.17863/CAM.81324

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., The PSYSCAN Consortium, , Vértes, P. and Bullmore, E., 2018. Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia related genes
Doi: 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

Dr Li Su

Language comprehension;
imaging and computational techniques for cognitive neuroscience

Journal articles

2025

Xiong, X., Su, L., Guo, J., Song, T., Wang, Y., Huang, J. and Kang, G., 2025. Enhancing motor imagery decoding in brain–computer interfaces using Riemann tangent space mapping and cross frequency coupling Biomedical Signal Processing and Control, v. 99
Doi: http://doi.org/10.1016/j.bspc.2024.106797

2024

Kucikova, L., Xiong, X., Reinecke, P., Madden, J., Jackson, E., Tappin, O., Huang, W., Dounavi, M-E. and Su, L., 2024. The effects of APOEe4 allele on cerebral structure, function, and related interactions with cognition in young adults. Ageing Res Rev, v. 101
Doi: http://doi.org/10.1016/j.arr.2024.102510

Muñoz-Neira, C., Zeng, J., Kucikova, L., Huang, W., Xiong, X., Muniz-Terrera, G., Ritchie, C., O'Brien, JT. and Su, L., 2024. Differences in Grey Matter Concentrations and Functional Connectivity between Young Carriers and Non-Carriers of the APOE ε4 Genotype. J Clin Med, v. 13
Doi: http://doi.org/10.3390/jcm13175228

Low, A., McKiernan, E., Prats-Sedano, MA., Carter, SF., Stefaniak, JD., Su, L., Dounavi, M-E., Muniz-Terrera, G., Jenkins, N., Bridgeman, K., Ritchie, K., Lawlor, B., Naci, L., Malhotra, P., Mackay, C., Koychev, I., Thayanandan, T., Raymont, V., Ritchie, CW., Stewart, W., O'Brien, JT. and PREVENT Dementia Investigators, , 2024. Neuroimaging and Clinical Findings in Healthy Middle-Aged Adults With Mild Traumatic Brain Injury in the PREVENT Dementia Study. JAMA Netw Open, v. 7
Doi: http://doi.org/10.1001/jamanetworkopen.2024.26774

Stefaniak, JD., Mak, E., Su, L., Carter, SF., Dounavi, M-E., Muniz Terrera, G., Bridgeman, K., Ritchie, K., Lawlor, B., Naci, L., Koychev, I., Malhotra, P., Ritchie, CW. and O'Brien, JT., 2024. Brain age gap, dementia risk factors and cognition in middle age. Brain Commun, v. 6
Doi: http://doi.org/10.1093/braincomms/fcae392

Dounavi, M-E., Mak, E., Operto, G., Muniz-Terrera, G., Bridgeman, K., Koychev, I., Malhotra, P., Naci, L., Lawlor, B., Su, L., Falcon, C., Ritchie, K., Ritchie, CW., Gispert, JD. and O'Brien, JT., 2024. Texture-based morphometry in relation to apolipoprotein ε4 genotype, ageing and sex in a midlife population. Hum Brain Mapp, v. 45
Doi: http://doi.org/10.1002/hbm.26798

Ritchie, CW., Bridgeman, K., Gregory, S., O'Brien, JT., Danso, SO., Dounavi, M-E., Carriere, I., Driscoll, D., Hillary, R., Koychev, I., Lawlor, B., Naci, L., Su, L., Low, A., Mak, E., Malhotra, P., Manson, J., Marioni, R., Murphy, L., Ntailianis, G., Stewart, W., Muniz-Terrera, G. and Ritchie, K., 2024. The PREVENT dementia programme: baseline demographic, lifestyle, imaging and cognitive data from a midlife cohort study investigating risk factors for dementia. Brain Commun, v. 6
Doi: http://doi.org/10.1093/braincomms/fcae189

Wang, T., Zeng, J., Huang, W., Xiong, X. and Su, L., 2024. Right thalamic volume mediates impact of the dopamine beta-hydroxylase gene on the endowment effect. Behav Brain Res, v. 469
Doi: http://doi.org/10.1016/j.bbr.2024.115050

Huang, Y., Cao, C., Dai, S., Deng, H., Su, L. and Zheng, J-S., 2024. Magnetoencephalography-derived oscillatory microstate patterns across lifespan: the Cambridge centre for ageing and neuroscience cohort. Brain Commun, v. 6
Doi: http://doi.org/10.1093/braincomms/fcae150

Dounavi, M-E., McKiernan, E., Langsen, M., Gregory, S., Muniz-Terrera, G., Prats-Sedano, MA., Mada, MO., Williams, GB., Lawlor, B., Naci, L., Mackay, C., Koychev, I., Malhotra, P., Ritchie, K., Ritchie, CW., Su, L., Waldman, AD. and O' Brien, JT., 2024. Investigating the brain's neurochemical profile at midlife in relation to dementia risk factors. Brain Commun, v. 6
Doi: http://doi.org/10.1093/braincomms/fcae138

Newton, C., Pope, M., Rua, C., Henson, R., Ji, Z., Burgess, N., Rodgers, CT., Stangl, M., Dounavi, M-E., Castegnaro, A., Koychev, I., Malhotra, P., Wolbers, T., Ritchie, K., Ritchie, CW., O'Brien, J., Su, L., Chan, D. and PREVENT Dementia Research Programme, , 2024. Entorhinal-based path integration selectively predicts midlife risk of Alzheimer's disease. Alzheimers Dement, v. 20
Doi: http://doi.org/10.1002/alz.13733

Newton, C., Pope, M., Rua, C., Henson, R., Ji, Z., Burgess, N., Rodgers, CT., Stangl, M., Dounavi, M., Castegnaro, A., Koychev, I., Malhotra, P., Wolbers, T., Ritchie, K., Ritchie, CW., O'Brien, J., Su, L., Chan, D. and for the PREVENT Dementia Research Programme, , 2024. Entorhinal‐based path integration selectively predicts midlife risk of Alzheimer's disease Alzheimer's & Dementia,
Doi: http://doi.org/10.1002/alz.13733

Payne, T., Burgess, T., Bradley, S., Roscoe, S., Sassani, M., Dunning, MJ., Hernandez, D., Scholz, S., McNeill, A., Taylor, R., Su, L., Wilkinson, I., Jenkins, T., Mortiboys, H. and Bandmann, O., 2024. Multimodal assessment of mitochondrial function in Parkinson's disease. Brain, v. 147
Doi: http://doi.org/10.1093/brain/awad364

Kucikova, L., Kalabizadeh, H., Motsi, KG., Rashid, S., O'Brien, JT., Taylor, J-P. and Su, L., 2024. A systematic literature review of fMRI and EEG resting-state functional connectivity in Dementia with Lewy Bodies: Underlying mechanisms, clinical manifestation, and methodological considerations. Ageing Res Rev, v. 93
Doi: http://doi.org/10.1016/j.arr.2023.102159

2023 (Accepted for publication)

Mak, F., Dounavi, M-E., Operto, G., Elina, Z., P Simon, J., Low, A., Swann, P., Newton, C., Terrera, G., Malhotra, P., Koychev, I., Falcon, C., Mackay, C., Lawlor, B., Naci, L., Wells, K., Ritchie, C., Ritchie, K., Su, L., Gispert, JD. and O'Brien, J., 2023 (Accepted for publication). APOE e4 exacerbates age-dependent deficits in cortical microstructure Brain Communications,
Doi: http://doi.org/10.1093/braincomms/fcad351

2023

Butters, E., Srinivasan, S., O'Brien, JT., Su, L. and Bale, G., 2023. A promising tool to explore functional impairment in neurodegeneration: A systematic review of near-infrared spectroscopy in dementia. Ageing Res Rev, v. 90
Doi: http://doi.org/10.1016/j.arr.2023.101992

Malpetti, M., Swann, P., Chouliaras, L., Ashton, NJ., Tsvetanov, KA., Street, D., Whiteside, DJ., Cope, TE., Savulich, G., Rittman, T., Surendranathan, A., Murley, AG., Stockton, K., Bevan‐Jones, WR., Prats‐Sedano, MA., Su, L., O'Brien, JT. and Rowe, JB., 2023. Inflammation blood profiles across neurodegenerative diseases Alzheimer's & Dementia, v. 19
Doi: 10.1002/alz.078426

Huang, W., Zeng, J., Jia, L., Zhu, D., O'Brien, J., Ritchie, C., Shu, N. and Su, L., 2023. Genetic risks of Alzheimer's by APOE and MAPT on cortical morphology in young healthy adults. Brain Commun, v. 5
Doi: http://doi.org/10.1093/braincomms/fcad234

Kucikova, L., Zeng, J., Muñoz-Neira, C., Muniz-Terrera, G., Huang, W., Gregory, S., Ritchie, C., O'Brien, J. and Su, L., 2023. Genetic risk factors of Alzheimer's Disease disrupt resting-state functional connectivity in cognitively intact young individuals. J Neurol, v. 270
Doi: http://doi.org/10.1007/s00415-023-11809-9

Payne, T., Appleby, M., Buckley, E., van Gelder, LMA., Mullish, BH., Sassani, M., Dunning, MJ., Hernandez, D., Scholz, SW., McNeill, A., Libri, V., Moll, S., Marchesi, JR., Taylor, R., Su, L., Mazzà, C., Jenkins, TM., Foltynie, T. and Bandmann, O., 2023. A Double-Blind, Randomized, Placebo-Controlled Trial of Ursodeoxycholic Acid (UDCA) in Parkinson's Disease. Mov Disord, v. 38
Doi: http://doi.org/10.1002/mds.29450

Dounavi, M-E., Mak, E., Swann, P., Low, A., Muniz-Terrera, G., McKeever, A., Pope, M., Williams, GB., Wells, K., Lawlor, B., Naci, L., Malhotra, P., Mackay, C., Koychev, I., Ritchie, K., Su, L., Ritchie, CW. and O'Brien, JT., 2023. Differential association of cerebral blood flow and anisocytosis in APOE ε4 carriers at midlife. J Cereb Blood Flow Metab, v. 43
Doi: http://doi.org/10.1177/0271678X231173587

Rajab, MD., Jammeh, E., Taketa, T., Brayne, C., Matthews, FE., Su, L., Ince, PG., Wharton, SB., Wang, D. and Cognitive Function and Ageing Neuropathology Study Group, , 2023. Assessment of Alzheimer-related pathologies of dementia using machine learning feature selection. Alzheimers Res Ther, v. 15
Doi: http://doi.org/10.1186/s13195-023-01195-9

Srinivasan, S., Butters, E., Collins-Jones, L., Su, L., O'Brien, J. and Bale, G., 2023. Illuminating neurodegeneration: a future perspective on near-infrared spectroscopy in dementia research. Neurophotonics, v. 10
Doi: http://doi.org/10.1117/1.NPh.10.2.023514

McKiernan, E., Su, L. and O'Brien, J., 2023. MRS in neurodegenerative dementias, prodromal syndromes and at-risk states: A systematic review of the literature. NMR Biomed, v. 36
Doi: http://doi.org/10.1002/nbm.4896

2022 (Published online)

Low, A., Prats-Sedano, MA., McKiernan, E., Carter, SF., Stefaniak, JD., Nannoni, S., Su, L., Dounavi, M-E., Muniz-Terrera, G., Ritchie, K., Lawlor, B., Naci, L., Malhotra, P., Mackay, C., Koychev, I., Ritchie, CW., Markus, HS. and O’Brien, JT., 2022 (Published online). Modifiable and non-modifiable risk factors of dementia on midlife cerebral small vessel disease in cognitively healthy middle-aged adults: the PREVENT-Dementia study Alzheimer's Research & Therapy, v. 14
Doi: 10.1186/s13195-022-01095-4

2022

Chouliaras, L., Thomas, A., Malpetti, M., Donaghy, P., Kane, J., Mak, E., Savulich, G., Prats-Sedano, MA., Heslegrave, AJ., Zetterberg, H., Su, L., Rowe, JB. and O'Brien, JT., 2022. Differential levels of plasma biomarkers of neurodegeneration in Lewy body dementia, Alzheimer's disease, frontotemporal dementia and progressive supranuclear palsy. J Neurol Neurosurg Psychiatry, v. 93
Doi: http://doi.org/10.1136/jnnp-2021-327788

Newton, C., Pope, M., Dounavi, M., Carter, SF., Muniz‐Terrera, G., Henson, RN., Ritchie, K., Ritchie, CW., O'Brien, JT., Su, L. and Chan, D., 2022. Multifactor mid‐life risk for Alzheimer’s disease associated with alterations in navigation but not episodic memory: the PREVENT‐Dementia study Alzheimer's & Dementia, v. 18
Doi: 10.1002/alz.067235

Wingfield, C., Zhang, C., Devereux, B., Fonteneau, E., Thwaites, A., Liu, X., Woodland, P., Marslen-Wilson, W. and Su, L., 2022. On the similarities of representations in artificial and brain neural networks for speech recognition. Front Comput Neurosci, v. 16
Doi: http://doi.org/10.3389/fncom.2022.1057439

Ziukelis, ET., Mak, E., Dounavi, M-E., Su, L. and T O'Brien, J., 2022. Fractal dimension of the brain in neurodegenerative disease and dementia: A systematic review. Ageing Res Rev, v. 79
Doi: http://doi.org/10.1016/j.arr.2022.101651

Zhou, D-A., Xu, K., Zhao, X., Chen, Q., Sang, F., Fan, D., Su, L., Zhang, Z., Ai, L. and Chen, Y., 2022. Spatial Distribution and Hierarchical Clustering of β-Amyloid and Glucose Metabolism in Alzheimer's Disease. Front Aging Neurosci, v. 14
Doi: http://doi.org/10.3389/fnagi.2022.788567

Low, A., Prats-Sedano, MA., McKiernan, E., Carter, SF., Stefaniak, JD., Nannoni, S., Su, L., Dounavi, M-E., Muniz-Terrera, G., Ritchie, K., Lawlor, B., Naci, L., Malhotra, P., Mackay, C., Koychev, I., Ritchie, CW., Markus, HS. and O'Brien, JT., 2022. Modifiable and non-modifiable risk factors of dementia on midlife cerebral small vessel disease in cognitively healthy middle-aged adults: the PREVENT-Dementia study. Alzheimers Res Ther, v. 14
Doi: http://doi.org/10.1186/s13195-022-01095-4

Dounavi, M-E., Low, A., Muniz-Terrera, G., Ritchie, K., Ritchie, CW., Su, L., Markus, HS. and O'Brien, JT., 2022. Fluid-attenuated inversion recovery magnetic resonance imaging textural features as sensitive markers of white matter damage in midlife adults. Brain Commun, v. 4
Doi: http://doi.org/10.1093/braincomms/fcac116

Mehraram, R., Peraza, LR., Murphy, NRE., Cromarty, RA., Graziadio, S., O'Brien, JT., Killen, A., Colloby, SJ., Firbank, M., Su, L., Collerton, D., Taylor, JP. and Kaiser, M., 2022. Functional and structural brain network correlates of visual hallucinations in Lewy body dementia. Brain, v. 145
Doi: http://doi.org/10.1093/brain/awac094

Dounavi, M-E., Newton, C., Jenkins, N., Mak, E., Low, A., Muniz-Terrera, G., Williams, GB., Lawlor, B., Naci, L., Malhotra, P., Mackay, CE., Koychev, I., Ritchie, K., Ritchie, CW., Su, L. and O'Brien, JT., 2022. Macrostructural brain alterations at midlife are connected to cardiovascular and not inherited risk of future dementia: the PREVENT-Dementia study. J Neurol, v. 269
Doi: http://doi.org/10.1007/s00415-022-11061-7

Wang, X., Bi, Q., Lu, J., Chan, P., Hu, X., Su, L., Jessen, F., Lin, H., Han, C., Shu, N., Liu, H. and Han, Y., 2022. Difference in Amyloid Load Between Single Memory Domain and Multidomain Subjective Cognitive Decline: A Study from the SILCODE. J Alzheimers Dis, v. 85
Doi: http://doi.org/10.3233/JAD-215373

Low, A., Prats-Sedano, MA., Stefaniak, JD., McKiernan, EF., Carter, SF., Douvani, M-E., Mak, E., Su, L., Stupart, O., Muniz, G., Ritchie, K., Ritchie, CW., Markus, HS. and O'Brien, JT., 2022. CAIDE dementia risk score relates to severity and progression of cerebral small vessel disease in healthy midlife adults: the PREVENT-Dementia study. J Neurol Neurosurg Psychiatry, v. 93
Doi: http://doi.org/10.1136/jnnp-2021-327462

2021

Fowlie, A., Handley, W. and Su, L., 2021. Nested sampling with plateaus Monthly Notices of the Royal Astronomical Society, v. 503
Doi: http://doi.org/10.1093/mnras/stab590

Su, L., Surendranathan, A., Huang, Y., Bevan-Jones, WR., Passamonti, L., Hong, YT., Arnold, R., Rodríguez, PV., Wang, Y., Mak, E., Fryer, TD., Aigbirhio, F., Rowe, JB. and O'Brien, JT., 2021. Relationship between tau, neuroinflammation and atrophy in Alzheimer's disease: The NIMROD study Information Fusion, v. 67
Doi: http://doi.org/10.1016/j.inffus.2020.10.006

Mak, E., Nicastro, N., Malpetti, M., Savulich, G., Surendranathan, A., Holland, N., Passamonti, L., Jones, PS., Carter, SF., Su, L., Hong, YT., Fryer, TD., Williams, GB., Aigbirhio, F., Rowe, JB. and O'Brien, JT., 2021. Imaging tau burden in dementia with Lewy bodies using [18F]-AV1451 positron emission tomography. Neurobiol Aging, v. 101
Doi: http://doi.org/10.1016/j.neurobiolaging.2020.11.006

Low, A., Su, L., Stefaniak, JD., Mak, E., Dounavi, M-E., Muniz-Terrera, G., Ritchie, K., Ritchie, CW., Markus, HS. and O'Brien, JT., 2021. Inherited risk of dementia and the progression of cerebral small vessel disease and inflammatory markers in cognitively healthy midlife adults: the PREVENT-Dementia study. Neurobiol Aging, v. 98
Doi: http://doi.org/10.1016/j.neurobiolaging.2020.10.029

Mak, E., Dounavi, M-E., Low, A., Carter, SF., McKiernan, E., Williams, GB., Jones, PS., Carriere, I., Muniz, GT., Ritchie, K., Ritchie, C., Su, L. and O'Brien, JT., 2021. Proximity to dementia onset and multi-modal neuroimaging changes: The prevent-dementia study. Neuroimage, v. 229
Doi: http://doi.org/10.1016/j.neuroimage.2021.117749

Liu, X., Dounavi, M-E., Ritchie, K., Wells, K., Ritchie, CW., Su, L., Muniz-Terrera, G. and O'Brien, JT., 2021. Higher midlife CAIDE score is associated with increased brain atrophy in a cohort of cognitively healthy middle-aged individuals. J Neurol, v. 268
Doi: http://doi.org/10.1007/s00415-020-10383-8

Cardinal, RN., Meiser-Stedman, CE., Christmas, DM., Price, AC., Denman, C., Underwood, BR., Chen, S., Banerjee, S., White, SR., Su, L., Ford, TJ., Chamberlain, SR. and Walsh, CM., 2021. Simulating a Community Mental Health Service During the COVID-19 Pandemic: Effects of Clinician-Clinician Encounters, Clinician-Patient-Family Encounters, Symptom-Triggered Protective Behaviour, and Household Clustering. Front Psychiatry, v. 12
Doi: http://doi.org/10.3389/fpsyt.2021.620842

Lin, L., Sun, Y., Wang, X., Su, L., Wang, X. and Han, Y., 2021. Resilience to Plasma and Cerebrospinal Fluid Amyloid-β in Cognitively Normal Individuals: Findings From Two Cohort Studies. Front Aging Neurosci, v. 13
Doi: http://doi.org/10.3389/fnagi.2021.610755

Dounavi, M-E., Low, A., McKiernan, EF., Mak, E., Muniz-Terrera, G., Ritchie, K., Ritchie, CW., Su, L. and O'Brien, JT., 2021. Evidence of cerebral hemodynamic dysregulation in middle-aged APOE ε4 carriers: The PREVENT-Dementia study. J Cereb Blood Flow Metab, v. 41
Doi: http://doi.org/10.1177/0271678X211020863

Zeng, J., Xiong, X., Hou, X., Chen, H. and Su, L., 2021. A Genetic Determinant of the Preference Reversal Phenomenon American Journal of Psychology, v. 134
Doi: http://doi.org/10.5406/amerjpsyc.134.2.0167

Kucikova, L., Goerdten, J., Dounavi, M-E., Mak, E., Su, L., Waldman, AD., Danso, S., Muniz-Terrera, G. and Ritchie, CW., 2021. Resting-state brain connectivity in healthy young and middle-aged adults at risk of progressive Alzheimer's disease. Neurosci Biobehav Rev, v. 129
Doi: http://doi.org/10.1016/j.neubiorev.2021.07.024

2020 (Accepted for publication)

Nicastro, N., Mak, E., Williams, GB., Surendranathan, A., Bevan-Jones, WR., Passamonti, L., Rodriguez, PV., Su, L., Arnold, R., Fryer, TD., Hong, YT., Aigbirhio, FI., Rowe, JB. and O'brien, JT., 2020 (Accepted for publication). Correlation of microglial activation with white matter changes in dementia with Lewy bodies NeuroImage: Clinical,
Doi: http://doi.org/10.1016/j.nicl.2020.102200

Prats-Sedano, MA., Savulich, G., Surendranathan, A., Donaghy, PC., Thomas, AJ., Rowe, JB., Su, L. and O'Brien, J., 2020 (Accepted for publication). The revised Addenbrooke’s Cognitive Examination can facilitate differentiation of dementia with Lewy bodies from Alzheimer’s disease International Journal of Geriatric Psychiatry,
Doi: http://doi.org/10.1002/gps.5483

2020

O'Brien, JT., Firbank, MJ., Ritchie, K., Wells, K., Williams, GB., Ritchie, CW. and Su, L., 2020. Association between midlife dementia risk factors and longitudinal brain atrophy: the PREVENT-Dementia study. J Neurol Neurosurg Psychiatry, v. 91
Doi: http://doi.org/10.1136/jnnp-2019-321652

Castillo-Barnes, D., Su, L., Ramírez, J., Salas-Gonzalez, D., Martinez-Murcia, FJ., Illan, IA., Segovia, F., Ortiz, A., Cruchaga, C., Farlow, MR., Xiong, C., Graff-Radford, NR., Schofield, PR., Masters, CL., Salloway, S., Jucker, M., Mori, H., Levin, J., Gorriz, JM. and Dominantly Inherited Alzheimer Network (DIAN), , 2020. Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning. Inf Fusion, v. 58
Doi: http://doi.org/10.1016/j.inffus.2020.01.001

Dounavi, M-E., Mak, E., Wells, K., Ritchie, K., Ritchie, CW., Su, L. and O' Brien, JT., 2020. Volumetric alterations in the hippocampal subfields of subjects at increased risk of dementia. Neurobiol Aging, v. 91
Doi: http://doi.org/10.1016/j.neurobiolaging.2020.03.006

Zeng, J., Liu, M., Hou, X., Zhang, Q., Chen, H. and Su, L., 2020. Can genes modulate anchoring effect? Int J Psychol, v. 55
Doi: http://doi.org/10.1002/ijop.12669

Malpetti, M., Kievit, RA., Passamonti, L., Jones, PS., Tsvetanov, KA., Rittman, T., Mak, E., Nicastro, N., Bevan-Jones, WR., Su, L., Hong, YT., Fryer, TD., Aigbirhio, FI., O'Brien, JT. and Rowe, JB., 2020. Microglial activation and tau burden predict cognitive decline in Alzheimer's disease. Brain, v. 143
Doi: http://doi.org/10.1093/brain/awaa088

McKeever, A., Paris, AF., Cullen, J., Hayes, L., Ritchie, CW., Ritchie, K., Waldman, AD., Wells, K., Busza, A., Carriere, I., O'Brien, JT. and Su, L., 2020. Hippocampal Subfield Volumes in Middle-Aged Adults at Risk of Dementia. J Alzheimers Dis, v. 75
Doi: http://doi.org/10.3233/JAD-200238

Zheng, B., Báez, S., Su, L., Xiang, X., Weis, S., Ibáñez, A. and García, AM., 2020. Semantic and attentional networks in bilingual processing: fMRI connectivity signatures of translation directionality. Brain Cogn, v. 143
Doi: http://doi.org/10.1016/j.bandc.2020.105584

McKiernan, EF., Mak, E., Dounavi, M-E., Wells, K., Ritchie, C., Williams, G., Su, L. and O'Brien, J., 2020. Regional hyperperfusion in cognitively normal APOE ε4 allele carriers in mid-life: analysis of ASL pilot data from the PREVENT-Dementia cohort. J Neurol Neurosurg Psychiatry, v. 91
Doi: http://doi.org/10.1136/jnnp-2020-322924

Firbank, MJ., O'Brien, JT., Ritchie, K., Wells, K., Williams, G., Su, L. and Ritchie, CW., 2020. Midlife alcohol consumption and longitudinal brain atrophy: the PREVENT-Dementia study. J Neurol, v. 267
Doi: http://doi.org/10.1007/s00415-020-10000-8

Low, A., Mak, E., Malpetti, M., Passamonti, L., Nicastro, N., Stefaniak, JD., Savulich, G., Chouliaras, L., Su, L., Rowe, JB., Markus, HS. and O'Brien, JT., 2020. In vivo neuroinflammation and cerebral small vessel disease in mild cognitive impairment and Alzheimer's disease. J Neurol Neurosurg Psychiatry, v. 92
Doi: http://doi.org/10.1136/jnnp-2020-323894

Wang, X., Huang, W., Su, L., Xing, Y., Jessen, F., Sun, Y., Shu, N. and Han, Y., 2020. Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease. Mol Neurodegener, v. 15
Doi: http://doi.org/10.1186/s13024-020-00395-3

Ritchie, K., Carrière, I., Gregory, S., Watermeyer, T., Danso, S., Su, L., Ritchie, CW. and O'Brien, JT., 2020. Trauma and depressive symptomatology in middle-aged persons at high risk of dementia: the PREVENT Dementia Study. J Neurol Neurosurg Psychiatry,
Doi: http://doi.org/10.1136/jnnp-2020-323823

Malpetti, M., Kievit, RA., Passamonti, L., Jones, PS., Tsvetanov, KA., Rittman, T., Mak, E., Nicastro, N., Bevan‐Jones, WR., Su, L., Hong, YT., Fryer, TD., Aigbirho, FI., O'Brien, JT. and Rowe, JB., 2020. The prognostic role of microglia and tau PET in Alzheimer’s disease Alzheimer's & Dementia, v. 16
Doi: 10.1002/alz.039817

Huang, Y., Su, L. and Ma, Q., 2020. The Stroop effect: An activation likelihood estimation meta-analysis in healthy young adults. Neurosci Lett, v. 716
Doi: http://doi.org/10.1016/j.neulet.2019.134683

2019

Huang, Y., Pan, X., Su, L., Sun, Y., Mo, Y. and Ma, Q., 2019. The role of information sentiment in popularity on social media: a psychoinformatic and electroencephalogram study Social Influence, v. 14
Doi: http://doi.org/10.1080/15534510.2019.1695658

Malpetti, M., Kievit, R., Passamonti, L., Jones, S., Tsvetanov, K., Rittman, T., Mak, E., Nicastro, N., Bevan-Jones, R., Su, L., Hong, Y., Fryer, T., Aigbirhio, F., O’Brien, J. and Rowe, J., 2019. Microglial activation and tau burden predict cognitive decline in Alzheimer’s Disease
Doi: 10.1101/19011189

Low, A., Mak, E., Malpetti, M., Chouliaras, L., Nicastro, N., Su, L., Holland, N., Rittman, T., Rodríguez, PV., Passamonti, L., Bevan-Jones, WR., Jones, PS., Rowe, JB. and O'Brien, JT., 2019. P2‐373: ASYMMETRICAL THALAMIC SUBNUCLEI IN ALZHEIMER'S DISEASE ASSOCIATED WITH GREATER DISEASE SEVERITY Alzheimer's & Dementia, v. 15
Doi: 10.1016/j.jalz.2019.06.2780

Leming, M., Su, L., Chattopadhyay, S. and Suckling, J., 2019. Normative pathways in the functional connectome. Neuroimage, v. 184
Doi: http://doi.org/10.1016/j.neuroimage.2018.09.028

Nicastro, N., Mak, E., Williams, G., Surendranathan, A., Bevan-Jones, WR., Passamonti, L., Rodriguez, PV., Su, L., Arnold, R., Aigbirhio, F., Rowe, J. and O’brien, J., 2019. Correlation of Microglial Activation with White Matter Changes in Dementia with Lewy Bodies
Doi: http://doi.org/10.1101/599241

Zeng, J., Wang, Y., Zeng, J., Cao, Z., Chen, H., Liu, Y., Zhang, Q. and Su, L., 2019. Predicting the behavioural tendency of loss aversion. Sci Rep, v. 9
Doi: http://doi.org/10.1038/s41598-019-41242-w

Passamonti, L., Tsvetanov, KA., Jones, PS., Bevan-Jones, WR., Arnold, R., Borchert, RJ., Mak, E., Su, L., O'Brien, JT. and Rowe, JB., 2019. Neuroinflammation and Functional Connectivity in Alzheimer's Disease: Interactive Influences on Cognitive Performance. J Neurosci, v. 39
Doi: http://doi.org/10.1523/JNEUROSCI.2574-18.2019

Li, X., Wang, X., Su, L., Hu, X. and Han, Y., 2019. Sino Longitudinal Study on Cognitive Decline (SILCODE): protocol for a Chinese longitudinal observational study to develop risk prediction models of conversion to mild cognitive impairment in individuals with subjective cognitive decline. BMJ Open, v. 9
Doi: http://doi.org/10.1136/bmjopen-2018-028188

Low, A., Mak, E., Malpetti, M., Chouliaras, L., Nicastro, N., Su, L., Holland, N., Rittman, T., Rodríguez, PV., Passamonti, L., Bevan-Jones, WR., Jones, PS., Rowe, JB. and O'Brien, JT., 2019. Asymmetrical atrophy of thalamic subnuclei in Alzheimer's disease and amyloid-positive mild cognitive impairment is associated with key clinical features. Alzheimers Dement (Amst), v. 11
Doi: http://doi.org/10.1016/j.dadm.2019.08.001

Zhao, W., Luo, Y., Zhao, L., Mok, V., Su, L., Yin, C., Sun, Y., Lu, J., Shi, L. and Han, Y., 2019. Automated Brain MRI Volumetry Differentiates Early Stages of Alzheimer's Disease From Normal Aging. J Geriatr Psychiatry Neurol, v. 32
Doi: http://doi.org/10.1177/0891988719862637

2018

Su, L., Hayes, L., Soteriades, S., Williams, G., Longoni, G., Rowe, JB. and O'Brien, JT., 2018. Hippocampal Stratum Radiatum, Lacunosum and Moleculare Sparing in Mild Cognitive Impairment Journal of Alzheimer's Disease, v. 61
Doi: http://doi.org/10.3233/JAD-170344

Li, Z., Zhang, C-Y., Huang, J., Wang, Y., Yan, C., Li, K., Zeng, Y-W., Jin, Z., Cheung, EFC., Su, L. and Chan, RCK., 2018. Improving motivation through real-time fMRI-based self-regulation of the nucleus accumbens. Neuropsychology, v. 32
Doi: http://doi.org/10.1037/neu0000425

Stefaniak, JD., Su, L., Mak, E., Sheikh-Bahaei, N., Wells, K., Ritchie, K., Waldman, A., Ritchie, CW. and O'Brien, JT., 2018. Cerebral small vessel disease in middle age and genetic predisposition to late-onset Alzheimer's disease. Alzheimers Dement, v. 14
Doi: http://doi.org/10.1016/j.jalz.2017.08.017

Passamonti, L., Rodríguez, PV., Hong, YT., Allinson, KSJ., Bevan-Jones, WR., Williamson, D., Jones, PS., Arnold, R., Borchert, RJ., Surendranathan, A., Mak, E., Su, L., Fryer, TD., Aigbirhio, FI., O'Brien, JT. and Rowe, JB., 2018. [11C]PK11195 binding in Alzheimer disease and progressive supranuclear palsy. Neurology, v. 90
Doi: http://doi.org/10.1212/WNL.0000000000005610

Minett, T., Su, L., Mak, E., Williams, G., Firbank, M., Lawson, RA., Yarnall, AJ., Duncan, GW., Owen, AM., Khoo, TK., Brooks, DJ., Rowe, JB., Barker, RA., Burn, D. and O'Brien, JT., 2018. Longitudinal diffusion tensor imaging changes in early Parkinson's disease: ICICLE-PD study. J Neurol, v. 265
Doi: http://doi.org/10.1007/s00415-018-8873-0

Ritchie, K., Carrière, I., Howett, D., Su, L., Hornberger, M., O'Brien, JT., Ritchie, CW. and Chan, D., 2018. Allocentric and Egocentric Spatial Processing in Middle-Aged Adults at High Risk of Late-Onset Alzheimer's Disease: The PREVENT Dementia Study. J Alzheimers Dis, v. 65
Doi: http://doi.org/10.3233/JAD-180432

Mak, E., Bethlehem, RAI., Romero-Garcia, R., Cervenka, S., Rittman, T., Gabel, S., Surendranathan, A., Bevan-Jones, RW., Passamonti, L., Vázquez Rodríguez, P., Su, L., Arnold, R., Williams, GB., Hong, YT., Fryer, TD., Aigbirhio, FI., Rowe, JB. and O'Brien, JT., 2018. In vivo coupling of tau pathology and cortical thinning in Alzheimer's disease. Alzheimers Dement (Amst), v. 10
Doi: http://doi.org/10.1016/j.dadm.2018.08.005

Surendranathan, A., Su, L., Mak, E., Passamonti, L., Hong, YT., Arnold, R., Vázquez Rodríguez, P., Bevan-Jones, WR., Brain, SAE., Fryer, TD., Aigbirhio, FI., Rowe, JB. and O'Brien, JT., 2018. Early microglial activation and peripheral inflammation in dementia with Lewy bodies. Brain, v. 141
Doi: http://doi.org/10.1093/brain/awy265

Su, L., Huang, Y., Wang, Y., Rowe, J. and O'Brien, J., 2018. Predict Disease Progression With Reaction Rate Equation Modeling of Multimodal MRI and PET. Front Aging Neurosci, v. 10
Doi: http://doi.org/10.3389/fnagi.2018.00306

Qin, H., Zeng, J., Chen, H., Deng, L. and Su, L., 2018. Can Your DNA Influence Your Bet-Placing? The Impact of Cannabinoid Receptor 1 Gene on Gambling Tasks. Front Hum Neurosci, v. 12
Doi: http://doi.org/10.3389/fnhum.2018.00458

2017 (Accepted for publication)

Ritchie, K., Carrière, I., Su, L., O'Brien, JT., Lovestone, S., Wells, K. and Ritchie, CW., 2017 (Accepted for publication). The midlife cognitive profiles of adults at high risk of late-onset Alzheimer's disease: The PREVENT study Alzheimer's and Dementia,
Doi: http://doi.org/10.1016/j.jalz.2017.02.008

2017

Mak, E., Gabel, S., Mirette, H., Su, L., Williams, GB., Waldman, A., Wells, K., Ritchie, K., Ritchie, C. and O'Brien, J., 2017. Structural neuroimaging in preclinical dementia: From microstructural deficits and grey matter atrophy to macroscale connectomic changes. Ageing Res Rev, v. 35
Doi: http://doi.org/10.1016/j.arr.2016.10.001

Bevan Jones, RW., Surendranathan, A., Passamonti, L., Vázquez Rodríguez, P., Arnold, R., Mak, E., Su, L., Coles, JP., Fryer, TD., Hong, YT., Williams, G., Aigbirhiod, F., Rowe, JB. and O’Brien, JT., 2017. Neuroimaging of Inflammation in Memory and Related Other Disorders (NIMROD) study protocol: a deep phenotyping cohort study of the role of brain inflammation in dementia, depression and other neurological illnesses BMJ Open, v. 7
Doi: http://doi.org/10.1136/bmjopen-2016-013187

Mak, FK., Gabel, S., Su, L., Williams, GB., Arnold, R., Passamonti, L., Vazquez Rodríguez, P., Surendranathan, A., Bevan-Jones, WR., Rowe, JB. and O'Brien, JT., 2017. Multi-modal MRI investigation of volumetric and microstructural changes in the hippocampus and its subfields in mild cognitive impairment, Alzheimer's disease, and dementia with Lewy bodies International Psychogeriatrics, v. 29
Doi: http://doi.org/10.1017/S1041610216002143

Passamonti, L., Vázquez Rodríguez, P., Hong, YT., Allinson, KSJ., Williamson, D., Borchert, RJ., Sami, S., Cope, TE., Bevan-Jones, WR., Jones, PS., Arnold, R., Surendranathan, A., Mak, E., Su, L., Fryer, TD., Aigbirhio, FI., O'Brien, JT. and Rowe, JB., 2017. 18F-AV-1451 positron emission tomography in Alzheimer's disease and progressive supranuclear palsy. Brain, v. 140
Doi: http://doi.org/10.1093/brain/aww340

Habib, M., Mak, E., Gabel, S., Su, L., Williams, G., Waldman, A., Wells, K., Ritchie, K., Ritchie, C. and O'Brien, JT., 2017. Functional neuroimaging findings in healthy middle-aged adults at risk of Alzheimer's disease. Ageing Res Rev, v. 36
Doi: http://doi.org/10.1016/j.arr.2017.03.004

Mak, E., Su, L., Williams, GB., Firbank, MJ., Lawson, RA., Yarnall, AJ., Duncan, GW., Mollenhauer, B., Owen, AM., Khoo, TK., Brooks, DJ., Rowe, JB., Barker, RA., Burn, DJ. and O'Brien, JT., 2017. Longitudinal whole-brain atrophy and ventricular enlargement in nondemented Parkinson's disease Neurobiology of Aging, v. 55
Doi: http://doi.org/10.1016/j.neurobiolaging.2017.03.012

Wingfield, C., Su, L., Liu, X., Zhang, C., Woodland, P., Thwaites, A., Fonteneau, E. and Marslen-Wilson, WD., 2017. Relating Dynamic Brain States to Dynamic Machine States: Human and Machine Solutions to the Speech Recognition Problem PLoS Computational Biology, v. 13
Doi: http://doi.org/10.1371/journal.pcbi.1005617

Minett, T., Su, L., Mak, E., Firbank, MJ., Lawson, RA., Yarnall, AJ., Duncan, GW., Owen, AM., Khoo, TK., Rowe, JB., Barker, RA., Burn, D. and O'Brien, JT., 2017. [P4–220]: LONGITUDINAL DIFFUSION TENSOR IMAGING AS A PREDICTOR OF COGNITIVE DOMAIN DECLINE IN EARLY‐STAGE PARKINSON's DISEASE: ICICLE‐PD STUDY Alzheimer's & Dementia, v. 13
Doi: 10.1016/j.jalz.2017.06.2088

Minett, T., Su, L., Mak, E., Williams, GB., Firbank, MJ., Lawson, RA., Yarnall, AJ., Duncan, GW., Owen, AM., Khoo, TK., Brooks, DJ., Rowe, JB., Barker, RA., Burn, D. and O'Brien, JT., 2017. [IC‐P‐074]: LONGITUDINAL DIFFUSION TENSOR IMAGING AS A PREDICTOR OF COGNITIVE DOMAINS DECLINE IN EARLY STAGE PARKINSON's DISEASE: ICICLE‐PD STUDY Alzheimer's & Dementia, v. 13
Doi: 10.1016/j.jalz.2017.06.2347

2016

Wingfield, C., Su, L., Liu, X., Zhang, C., Woodland, P., Thwaites, A., Fonteneau, E. and Marslen-Wilson, W., 2016. Relating dynamic brain states to dynamic machine states: human and machine solutions to the speech recognition problem
Doi: http://doi.org/10.1101/074799

Yan, C., Wang, Y., Su, L., Xu, T., Yin, D-Z., Fan, M-X., Deng, C-P., Wang, Z-X., Lui, SSY., Cheung, EFC. and Chan, RCK., 2016. Differential mesolimbic and prefrontal alterations during reward anticipation and consummation in positive and negative schizotypy PSYCHIATRY RESEARCH-NEUROIMAGING, v. 254
Doi: http://doi.org/10.1016/j.pscychresns.2016.06.014

Su, L., Faluyi, YO., Hong, YT., Fryer, TD., Mak, E., Gabel, S., Hayes, L., Soteriades, S., Williams, GB., Arnold, R., Passamonti, L., Rodriguez, PV., Surendranathan, A., Bevan-Jones, RW., Coles, J., Aigbirhio, F., Rowe, B. and O'Brien, JT., 2016. Neuroinflammatory and morphological changes in late-life depression: the NIMROD study BRITISH JOURNAL OF PSYCHIATRY, v. 209
Doi: http://doi.org/10.1192/bjp.bp.116.190165

Mak, E., Su, L., Williams, GB., Watson, R., Firbank, M., Blamire, A. and O'Brien, J., 2016. Differential Atrophy of Hippocampal Subfields: A Comparative Study of Dementia with Lewy Bodies and Alzheimer Disease. Am J Geriatr Psychiatry, v. 24
Doi: http://doi.org/10.1016/j.jagp.2015.06.006

Su, L., Blamire, AM., Watson, R., He, J., Aribisala, B. and O'Brien, JT., 2016. Cortical and Subcortical Changes in Alzheimer's Disease: A Longitudinal and Quantitative MRI Study. Curr Alzheimer Res, v. 13
Doi: http://doi.org/10.2174/1567205013666151116141416

Yan, C., Su, L., Wang, Y., Xu, T., Yin, D-Z., Fan, M-X., Deng, C-P., Hu, Y., Wang, Z-X., Cheung, EFC., Lim, KO. and Chan, RCK., 2016. Multivariate Neural Representations of Value during Reward Anticipation and Consummation in the Human Orbitofrontal Cortex Scientific Reports, v. 6
Doi: http://doi.org/10.1038/srep29079

Yan, C., Wang, Y., Su, L., Xu, T., Yin, D-Z., Fan, M-X., Deng, C-P., Wang, Z-X., Lui, SSY., Cheung, EFC. and Chan, RCK., 2016. Differential mesolimbic and prefrontal alterations during reward anticipation and consummation in positive and negative schizotypy. Psychiatry Res Neuroimaging, v. 254
Doi: http://doi.org/10.1016/j.pscychresns.2016.06.014

Su, L., Blamire, AM., Watson, R., He, J., Hayes, L. and O'Brien, JT., 2016. Whole-brain patterns of (1)H-magnetic resonance spectroscopy imaging in Alzheimer's disease and dementia with Lewy bodies. Transl Psychiatry, v. 6
Doi: http://doi.org/10.1038/tp.2016.140

2015

Su, L., Blamire, AM., Watson, R., He, J., Aribisala, B. and O'Brien, JT., 2015. Tissue microstructural changes in dementia with Lewy bodies revealed by quantitative MRI. J Neurol, v. 262
Doi: http://doi.org/10.1007/s00415-014-7541-2

Bozic, M., Fonteneau, E., Su, L. and Marslen-Wilson, WD., 2015. Grammatical analysis as a distributed neurobiological function. Hum Brain Mapp, v. 36
Doi: http://doi.org/10.1002/hbm.22696

Mak, E., Su, L., Williams, GB., Watson, R., Firbank, MJ., Blamire, AM. and O'Brien, JT., 2015. Progressive cortical thinning and subcortical atrophy in dementia with Lewy bodies and Alzheimer's disease. Neurobiol Aging, v. 36
Doi: http://doi.org/10.1016/j.neurobiolaging.2014.12.038

Mak, E., Su, L., Williams, GB., Watson, R., Firbank, M., Blamire, AM. and O'Brien, JT., 2015. Longitudinal assessment of global and regional atrophy rates in Alzheimer's disease and dementia with Lewy bodies. Neuroimage Clin, v. 7
Doi: http://doi.org/10.1016/j.nicl.2015.01.017

Mak, E., Su, L., Williams, GB., Watson, R., Firbank, MJ., Blamire, AM. and O'Brien, JT., 2015. Progressive cortical thinning and subcortical atrophy in dementia with Lewy bodies and Alzheimer's disease Neurobiology of Aging, v. 36
Doi: http://doi.org/10.1016/j.neurobiolaging.2014.12.038

Su, L., Wyble, B., Zhou, L-Q., Wang, K., Wang, Y-N., Cheung, EFC., Bowman, H. and Chan, RCK., 2015. Temporal perception deficits in schizophrenia: integration is the problem, not deployment of attentions. Sci Rep, v. 5
Doi: http://doi.org/10.1038/srep09745

Mak, E., Su, L., Williams, GB. and O'Brien, JT., 2015. Neuroimaging correlates of cognitive impairment and dementia in Parkinson's disease. Parkinsonism Relat Disord, v. 21
Doi: http://doi.org/10.1016/j.parkreldis.2015.05.013

Mak, E., Su, L., Williams, GB., Firbank, MJ., Lawson, RA., Yarnall, AJ., Duncan, GW., Owen, AM., Khoo, TK., Brooks, DJ., Rowe, JB., Barker, RA., Burn, DJ. and O'Brien, JT., 2015. Baseline and longitudinal grey matter changes in newly diagnosed Parkinson's disease: ICICLE-PD study. Brain, v. 138
Doi: http://doi.org/10.1093/brain/awv211

Mak, E., Su, L., Williams, GB. and O'Brien, JT., 2015. Neuroimaging correlates of cognitive impairment and dementia in Parkinson's disease Parkinsonism and Related Disorders, v. 21
Doi: http://doi.org/10.1016/j.parkreldis.2015.05.013

Suckling, J., Simas, T., Chattopadhyay, S., Tait, R., Su, L., Williams, G., Rowe, JB. and O'Brien, JT., 2015. A Winding Road: Alzheimer's Disease Increases Circuitous Functional Connectivity Pathways. Front Comput Neurosci, v. 9
Doi: http://doi.org/10.3389/fncom.2015.00140

Zhang, J. and Su, L., 2015. Temporal Autocorrelation-Based Beamforming With MEG Neuroimaging Data Journal of the American Statistical Association, v. 110
Doi: http://doi.org/10.1080/01621459.2015.1054488

2014

Lawrence, EJ., Su, L., Barker, GJ., Medford, N., Dalton, J., Williams, SCR., Birbaumer, N., Veit, R., Ranganatha, S., Bodurka, J., Brammer, M., Giampietro, V. and David, AS., 2014. Self-regulation of the anterior insula: Reinforcement learning using real-time fMRI neurofeedback. Neuroimage, v. 88
Doi: http://doi.org/10.1016/j.neuroimage.2013.10.069

Bowman, H., Filetti, M., Alsufyani, A., Janssen, D. and Su, L., 2014. Countering countermeasures: detecting identity lies by detecting conscious breakthrough. PLoS One, v. 9
Doi: http://doi.org/10.1371/journal.pone.0090595

Nili, H., Wingfield, C., Walther, A., Su, L., Marslen-Wilson, W. and Kriegeskorte, N., 2014. A toolbox for representational similarity analysis. PLoS Comput Biol, v. 10
Doi: http://doi.org/10.1371/journal.pcbi.1003553

Wang, Y., Yang, T-X., Su, L., Yan, C., Wang, Y., Huang, J., Fan, M-X., Yin, D-Z., Jin, Z., Zeng, Y-W., Shum, DHK., Gur, RC. and Chan, RCK., 2014. Neural correlates of prospective memory in individuals with schizotypal personality features. Neuropsychology, v. 28
Doi: http://doi.org/10.1037/neu0000035

Mak, E., Su, L., Williams, GB. and O'Brien, JT., 2014. Neuroimaging characteristics of dementia with Lewy bodies. Alzheimers Res Ther, v. 6
Doi: http://doi.org/10.1186/alzrt248

Su, L., Gomez, R. and Bowman, H., 2014. Analysing neurobiological models using communicating automata Formal Aspects of Computing,
Doi: http://doi.org/10.1007/s00165-014-0294-y

Su, L., Zulfiqar, I., Jamshed, F., Fonteneau, E. and Marslen-Wilson, W., 2014. Mapping tonotopic organization in human temporal cortex: representational similarity analysis in EMEG source space. Front Neurosci, v. 8
Doi: http://doi.org/10.3389/fnins.2014.00368

Su, L., Gomez, R. and Bowman, H., 2014. Analysing neurobiological models using communicating automata Formal Aspects of Computing, v. 26
Doi: http://doi.org/10.1007/s00165-014-0294-y

2013

Bowman, H., Filetti, M., Janssen, D., Su, L., Alsufyani, A. and Wyble, B., 2013. Subliminal Salience Search Illustrated: EEG Identity and Deception Detection on the Fringe of Awareness PLoS ONE, v. 8
Doi: http://doi.org/10.1371/journal.pone.0054258

Bozic, M., Tyler, LK., Su, L., Wingfield, C. and Marslen-Wilson, WD., 2013. Neurobiological systems for lexical representation and analysis in English. J Cogn Neurosci, v. 25
Doi: http://doi.org/10.1162/jocn_a_00420

2012

Su, L., Fonteneau, E., Marslen-Wilson, W. and Kriegeskorte, N., 2012. Spatiotemporal searchlight representational similarity analysis in EMEG source space Proceedings - 2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012,
Doi: http://doi.org/10.1109/PRNI.2012.26

2011

Su, L., Bowman, H. and Barnard, P., 2011. Glancing and then looking: on the role of body, affect, and meaning in cognitive control. Front Psychol, v. 2
Doi: http://doi.org/10.3389/fpsyg.2011.00348

2009

Su, L., Bowman, H., Barnard, P. and Wyble, B., 2009. Process algebraic modelling of attentional capture and human electrophysiology in interactive systems FORM ASP COMPUT, v. 21
Doi: http://doi.org/10.1007/s00165-008-0094-3

Theses / dissertations

2023 (No publication date)

Newton, C., 2023 (No publication date). Virtual reality navigation assessment and 7 tesla MR imaging of the entorhinal-hippocampal circuit in asymptomatic at-risk Alzheimer's disease
Doi: http://doi.org/10.17863/CAM.93912

Conference proceedings

2022

Low, A., Prats-Sedano, M., Mckiernan, E., Carter, S., Stefaniak, J., Nannoni, S., Su, L., Dounavi, M-E., Muniz-Terrera, G., Ritchie, K., Lawlor, B., Naci, L., Malhotra, P., Mackay, C., Koychev, I., Ritchie, C., Markus, H. and O'Brien, J., 2022. SEX DIFFERENCES IN MODIFIABLE AND NON-MODIFIABLE RISK FACTORS ON MIDLIFE CEREBRAL SMALL VESSEL DISEASE: THE PREVENT-DEMENTIA STUDY INTERNATIONAL JOURNAL OF STROKE, v. 17

2017

O'Brien, J., Su, L., Faluyi, Y., Fryer, T., Hong, Y., Williams, G., Arnold, R., Passamonti, L., Rodriguez, PV., Surendranathan, A., Bevan-Jones, RW., Aigbirhio, F. and Rowe, JB., 2017. NEUROINFLAMMATORY CHANGES IN LATE-LIFE DEPRESSION: THE NIMROD STUDY AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY, v. 51

Surendranathan, A., Su, L., Passamonti, L., Hong, Y., Bevan-Jones, W., Arnold, R., Rodriguez, PV., Mak, E., Fryer, T., Aigbirhio, F., Rowe, J. and O'Brien, J., 2017. [11C]PK11195 PET Imaging Reveals Neuroinflammation in Dementia with Lewy Bodies: NIMROD Study MOVEMENT DISORDERS, v. 32

Rodriguez, PV., Rowe, J., O'Brien, J., Aigbirhio, F., Fryer, T., Su, L., Mak, E., Surendranathan, A., Borchert, R., Jones, S., Arnold, R., Bevan-Jones, R., Passamonti, L. and Hong, Y., 2017. [11C]PK11195 PET in Alzheimer's disease and progressive supranuclear palsy: the NIMROD study MOVEMENT DISORDERS, v. 32

2016

Su, L., Faluyi, YO., Hong, YT., Fryer, TD., Mak, E., Gabel, S., Hayes, L., Soteriades, S., Williams, GB., Arnold, R., Passamonti, L., Rodríguez, PV., Surendranathan, A., Bevan-Jones, RW., Coles, J., Aigbirhio, F., Rowe, JB. and O'Brien, JT., 2016. Neuroinflammatory and morphological changes in late-life depression: the NIMROD study. Br J Psychiatry, v. 209
Doi: http://doi.org/10.1192/bjp.bp.116.190165

Greening, G., Su, L., Robbins, T., Bullmore, E. and Ersche, K., 2016. Altered grey matter co-variance in stimulant-dependent individuals: a graph-theory analysis EUROPEAN NEUROPSYCHOPHARMACOLOGY, v. 26
Doi: http://doi.org/10.1016/S0924-977X(16)31825-9

2010

Su, L., Barnard, P. and Bowman, H., 2010. On the Fringe of Awareness: The Glance-Look Model of Attention-Emotion Interactions ARTIFICIAL NEURAL NETWORKS (ICANN 2010), PT III, v. 6354

Other publications

2022

Kucikova, L., Danso, S., Jia, L. and Su, L., 2022. Computational Psychiatry and Computational Neurology: Seeking for Mechanistic Modeling in Cognitive Impairment and Dementia. Front Comput Neurosci, v. 16
Doi: http://doi.org/10.3389/fncom.2022.865805

Internet publications

2019

Passamonti, L., Tsvetanov, KA., Jones, PS., Bevan-Jones, WR., Arnold, R., Borchert, RJ., Mak, E., Su, L., O’Brien, JT. and Rowe, JB., 2019. Neuroinflammation and functional connectivity in Alzheimer’s disease: interactive influences on cognitive performance
Doi: http://doi.org/10.1101/532291

Book chapters

2019

Mavritsaki, E., Bowman, H. and Su, L., 2019. Attentional Deficits in Alzheimer's Disease: Investigating the Role of Acetylcholine with Computational Modelling
Doi: http://doi.org/10.1007/978-3-030-18830-6_11

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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