Prof Cynthia Fu

NameProf Cynthia Fu
ORCIDhttps://orcid.org/0000-0003-4313-3500
Job titleProfessor (Temporary)
Email addressc.fu@uel.ac.uk
Research instituteChildhood & Social Care

Research outputs

Home-based transcranial direct current stimulation treatment for major depressive disorder: a fully remote phase 2 randomized sham-controlled trial

Woodham, R., Selvaraj, S., Lajmi, N., Hobday, H., Sheehan, G., Ghazi-Noori, A., Lagerberg, P., Rizvi, M., Kwon, S. S., Orhii, P., Maislin, D., Hernandez, L., Machado-Vieira, R., Soares, J. C., Young, A. H. and Fu, C. 2024. Home-based transcranial direct current stimulation treatment for major depressive disorder: a fully remote phase 2 randomized sham-controlled trial. Nature Medicine. p. In Press.

Enhanced network synchronization connectivity following transcranial direct current stimulation (tDCS) in bipolar depression: Effects on EEG oscillations and deep learning-based predictors of clinical remission

Xiao, W., Moncy, J. C., Ghazi-Noori, A., Woodham, R., Rezaei, H., Bramon, E., Ritter, P., Bauer, M., Young, A. H. and Fu, C. 2024. Enhanced network synchronization connectivity following transcranial direct current stimulation (tDCS) in bipolar depression: Effects on EEG oscillations and deep learning-based predictors of clinical remission. Journal of Affective Disorders. p. In Press. https://doi.org/10.1016/j.jad.2024.09.054

Home-based transcranial direct current stimulation in bipolar depression: an open-label treatment study of clinical outcomes, acceptability and adverse events

Ghazi-Noori, A., Woodham, R., Rezaei, H., Sharif, S., Bramon, E., Ritter, P., Bauer, M., Young, A. H. and Fu, C. H. Y. 2024. Home-based transcranial direct current stimulation in bipolar depression: an open-label treatment study of clinical outcomes, acceptability and adverse events. International Journal of Bipolar Disorders. 12 (Art. 30). https://doi.org/10.1186/s40345-024-00352-9

Employing Machine Learning Algorithms to Detect Stress with a Specific Emphasis on Commuting Methods

Sharif, S., Theeng Tamang, M., Fu, C. and Elmedany, W. 2023. Employing Machine Learning Algorithms to Detect Stress with a Specific Emphasis on Commuting Methods. FiCloud 2023: The 10th International Conference on Future Internet of Things and Cloud. Marrkech, Morocco 14 - 16 Aug 2023 IEEE. https://doi.org/10.1109/FiCloud58648.2023.00067

Acceptability of home-based transcranial direct current stimulation (tDCS) in major depression: a qualitative analysis of individual experiences

Rimmer, R. M., Woodham, R. D., Cahill, S. and Fu, C. 2024. Acceptability of home-based transcranial direct current stimulation (tDCS) in major depression: a qualitative analysis of individual experiences. Mental Health Review Journal. 29 (1), pp. 79-91. https://doi.org/10.1108/MHRJ-07-2022-0050

Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo

Fu, C. H. Y., Antoniades, M., Erus, G., Garcia, J. A., Fan, Y., Arnone, D., Arnott, S. R., Chen, T., Choi, K. S., Chin Fatt, C., Frey, N. B., Frokjaer, V. G., Ganz, M., Godlewska, B. R., Hassel, S., Ho, K., McIntosh, A. M., Qin, K., Rotzinger, S., Sacchet, M. D., Savitz, J., Shou, H., Singh, A., Stolicyn, A., Strigo, I., Strother, S. C., Tosun, D., Victor, T. A., Wei, D., Wise, T., Zahn, R., Anderson, I. M., Craighead, W. E., Deakin, J. F. W., Dunlop, B. W., Elliott, R., Gon, Q., Gotlib, I. H., Harmer, C. J., Kennedy, S. H., Knudsen, G. M., Mayberg, H. S., Paulus, M. P., Qiu, J., Trivedi, M. H., Whalley, H. C., Yan, G-C., Young, A. H. and Davatzikos, C. 2023. Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo. Nature Mental Health. 2, pp. 164-176. https://doi.org/10.1038/s44220-023-00187-w

Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures

Belov, V., Erwin-Grabner, T., Aghajani, M., Aleman, A., Amod, A. R., Basgoze, Z., Benedetti, F., Besteher, B., Bülow, R., Ching, C. R. K., Connolly, C. G., Cullen, K., Davey, C. G., Dima, D., Dols, A., Evans, J. W., Fu, C. H. Y., Saffet Gonul, A., Gotlib, I. H., Grabe, H. J., Groenewold, N., Paul Hamilton, J. Harrison, B. J., Ho. T. C., Mwangi, B., Jaworska, N., Jahanshad, N., Klimes-Dougan, B., Koopowitz, S-M., Lancaster, T., Li, M., Linden, D. E. J., MacMaster, F. P., Mehler, D. M. A., Melloni, E., Mueller, B. A., Ojha, A., Oudega, M. L., Penninx, B. W. J. H., Poletti, S., Pomarol-Clotet, E., Portella, M. J., Pozzi, E., Reneman, L. Sacchet, M. D., Sämann, P. G., Schrantee, A., Sim, K., Soares, J. C., Stein, D. J., Thomopoulos, S. I., Uyar-Demir, A., van der Wee, N. J. A., van der Werff, S. J. A., Völzke, H., Whittle, S., Wittfield, K., Wright, M. J., Wu, M-J., Yang, T. T., Zarate, C., Veltman, D. J., Schmaal, L., Thompson, P. M., Goya-Maldonado, R. and the ENIGMA Major Depressive Disorder working group 2024. Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures. Scientific Reports. 14 (Art. 1084). https://doi.org/10.1038/s41598-023-47934-8

The Human Affectome

Schiller, D., Yu, A. N. C., Nelly, A-K., Becker, S., Cromwell, H. C., Dolcos, F., Eslinger, P. J., Frewen, P., Kemp, A. H., Pace-Schott, E. F., Raber, J., Silton, R. L., Stefanova, E., Williams, J. H. G., Abe, N., Aghajani, M., Albrecht, F., Alexander, R., Anders, S., Aragón, O. R., Arias, J. A., Arzy, S., Aue, T., Baez, S., Balconi, M., Ballarini, T., Bannister, S., Banta, M. C., Caplovitz Barrett, K., Belzung, C., Bensafi, M., Booij, L., Bookwala, J., Boulanger-Bertolus, J., Weber Boutros, S., Bräscher, A-K., Bruno, A., Busatta, G., Bylsma, L. M., Caldwell-Harris, C., Chan, R. C. K., Cherbuin, N., Chiarella, J., Cipresso, P., Critchley, H., Croote, D. E., Demaree, H. A., Denson, T. A., Depue, B., Derntl, B., Dickson, J. M., Dolcos, S., Drach-Zahavy, A., Dubljević, O., Eerola, T., Ellingsen, D-M., Fairfield, B., Ferdenzi, C., Friedman, B. H., Fu, C. H. Y., Gatt. J. M., deGalder, B., Gendolla, G. H. E., Gilman, G., Goldblatt, H., Kotynski Gooding, A. E., Gosseries, O., Hamm, A. O., Hanson, J. L., Hendler, T., Herbert, C., Hofmann, S. G., Ibanez, A., Joffily, M., Jovanovic, T., Kahrilas, I. J., Kangas, M., Katsumi, Y., Kensinger, E., Kirby, L. A. J., Koncz, R., Koster, E. H. W., Kozlowska, K., Krach, S., Kret, M. E., Krippl, M., Kusi-Mensah, K., Ladouceur, C. D., Laureys, S., Lawrence, A., Li, C-S. R., Liddell, B. J., Lidhar, N. K., Lowry, C. A., Magee, K., Marin, M-F., Mariotti, V., Martin, L. J., Marusak, H. A., Mayer, A. V., Merner, A. R., Minnier, J., Moll, J., Morrison, R. G., Moore, M., Mouly, A-M., Mueller, S. C., Mühlberger, A., Murphy, N. A., Muscatello, M. R. A., Musser, E. D., Newton, T. L., Noll-Hussong, M., Norrholm, S. D., Northoff, G., Nusslock, R., Okon-Singer, H., Olino, T. M., Ortner, C., Owolabi, M., Padulo, C., Palermo, R., Palumbo, R., Palumbo, S., Papadelis, C., Pegna, A. J., Pellegrini, S., Peltonen, K., Penninx, B. W. J. H., Pietrini, P., Pinna, G., Pintos Lobo, R., Polnaszek, K. L., Polyakova, M., Rabinak, C., HeleneRichter, S., Richter, T., Riva, G., Rizzo, A., Robinson, J. L., Rosa, P., Sachdev, P. S., Sato, W., Schroeter, M. L., Schweizer, S., Shiban, Y., Siddharthan, A., Siedlecka, E., Smith, R. C., Soreq, H., Spangler, D. P., Stern, E. R., Styliadis, C., Sullivan, G. B., Swain, J. E., Urben, S., Van den Stock, J., vander Kooij, M. A., van Overveld, M., Van Rheenen, T. E., VanElzakker, M. B., Ventura-Bort, C., Verona, E., Volk, T., Wang, Y., Weingast, L. T., Weymar, M., Williams, C., Willis, M. L., Yamashita, P., Zahn, R., Zupan, B., Lowe, L., Gan, G., Huggins, C. F. and Loeffler, L. 2024. The Human Affectome. Neuroscience & Biobehavioral Reviews. 158 (Art. 105450). https://doi.org/10.1016/j.neubiorev.2023.105450

Evaluating the Stressful Commutes Using Physiological Signals and Machine Learning Techniques

Sharif, S., Theeng Tamang, M. and Fu, C. 2022. Evaluating the Stressful Commutes Using Physiological Signals and Machine Learning Techniques. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990849

Transcranial direct current stimulation effects in late life depression: a meta-analysis of individual participant data

Rimmer, R., Costafreda, S. G., Mutz, J., Joseph, K., Brunoni, A. R., Loo, C. K., Padberg, F., Palm, U. and Fu, C. 2022. Transcranial direct current stimulation effects in late life depression: a meta-analysis of individual participant data. Journal of Affective Disorders Reports. (Art. 100407). https://doi.org/10.1016/j.jadr.2022.100407

Adjunctive home-based transcranial direct current stimulation treatment for major depression with real-time remote supervision: An open-label, single-arm feasibility study with long term outcomes

Woodham, R., Rimmer, R., Young, A. H. and Fu, C. 2022. Adjunctive home-based transcranial direct current stimulation treatment for major depression with real-time remote supervision: An open-label, single-arm feasibility study with long term outcomes. Journal of Psychiatric Research. 153, pp. 197-205. https://doi.org/10.1016/j.jpsychires.2022.07.026

Situational factors shape moral judgments in the trolley dilemma in Eastern, Southern, and Western countries in a culturally diverse sample

Bago, B., Kovacs, M., Protzko, J., Nagy, T., Kekecs, Z., Palfi, B., Adamkovic, M., Adamus, S., Albalooshi, S., Albayrak-Aydemir, N., Alper, S., Alvarez-Solas, S., Alves, S. G., Amaya, S., Andresen, P. K., Anjum, G., Ansari, D., Arriaga, P., Aruta, J. J. B. R., Arvanitis, A., Babincak, P., Barzykowski, K., Bashour, B., Baskin, E., Batalha, L., Batres, C., Bavolar, J., Bayrak, F., Becker, M., Becker, B., Belaus, A., Białek, M., Bilancini, E., Boller, D., Boncinelli, L., Boudesseul, J., Brown, B. T., Buchanan, E. M., Butt, M. M., Calvillo, D. P., Carnes, N. C., Castille, C. M., Celniker, J. B., Chartier, C. R., Chopik, W. J., Chotikavan, P., Chuan-Peng, H., Clancy, R. F., Çoker, O., Correia, R. C., Adoric, V. C., Cubillas, C. P., Czoschke, S., Daryani, Y., de Grefte, J. A. M., de Vries, W. C., Demirag Burak, E. G., Dias, C., Dixson, B. J. W., Du, X., Dumančić, F., Dumbravă, A., Dutra, N. B., Enachescu, J., Esteban-Serna, C., Eudave, L., Evans, T. R., Feldman, G., Felisberti, F. M., Fiedler, S., Findor, A., Fleischmann, A., Foroni, F., Francová, R., Frank, D-A., Fu, C., Gao, S., Ghasemi, O., Ghazi-Noori, A., Ghossainy, M. E., Giammusso, I., Gill, T., Gjoneska, B., Gollwitzer, M., Graton, A., Grinberg, M., Groyecka-Bernard, A., Harris, E. A., Hartanto, A., Hassan, W. A. N. M., Hatami, J., Heimark, K. R., Hidding, J. J. J., Hristova, E., Hruška, M., Hudson, C. A., Huskey, R., Ikeda, A., Inbar, Y., Ingram, G. P. D., Isler, O., Isloi, C., Iyer, A., Jaeger, B., Janssen, S. M. J., Jiménez-Leal, W., Jokić, B., Kačmár, P., Kadreva, V., Kaminski, G., Karimi-Malekabadi, F., Kasper, A. T A., Kendrick, K. M., Kennedy, B. J., Kocalar, H. E., Kodapanakkal, R. I., Kowal, M., Kruse, E., Kučerová, L., Kühberger, A., Kuzminska, A. O., Lalot, F., Lamm, C., Lammers, J., Lange, E. B., Lantian, A., Lau, I. Y.-M., Lazarevic, L. B., Leliveld, M. C., Lenz, J. N., Levitan, C. A., Lewis, S. C., Li, M., Li, Y., Li, H., Lima, T. J. S., Lins, S., Liuzza, M. T., Lopes, P., Lu, J. G., Lynds, T., Máčel, M., Mackinnon, S. P., Maganti, M., Magraw-Mickelson, Z., Magson, L. F., Manley, H., Marcu, G. M., Maslić Seršić, D., Matibag, C-J., Mattiassi, A. D. A., Mazidi, M., McFall, J. P., McLatchie, N., Mensink, M. C., Miketta, L., Milfont, T. L., Mirisola, A., Misiak, M., Mitkidis, P., Moeini-Jazani, M., Monajem, A., Moreau, D., Musser, E. D., Narhetali, E., Nuralfian, I., Ochoa, D. P., Olsen, J., Owsley, N. C., Özdoğru, A. A., Panning, M., Papadatou-Pastou, M., Parashar, N., Pärnamets, P., Paruzel-Czachura, M., Parzuchowski, M., Paterlini, J. V., Pavlacic, J. M., Peker, M., Peters, K., Piatnitckaia, L., Pinto, I., Policarpio, M. R., Pop-Jordanova, N., Pratama, A. J., Primbs, M. A., Pronizius, E., Purić, D., Puvia, E., Qamari, V., Qian, K., Quiamzade, A., Ráczová, B., Reinero, D. A., Reips, U-D., Reyna, C., Reynolds, K., Ribeiro, M. F. F., Röer, J. P., Ross, R. M., Roussos, P., Ruiz-Dodobara, F., Ruiz-Fernandez, S., Rutjens, B. T., Rybus, K., Samekin, A., Santos, A. C., Say, N., Schild, C., Schmidt, K., Ścigała, K. A., Sharifian, M. H., Qureshi, J., Shi, Y., Sievers, E., Sirota, M., Slipenkyj, M., Solak, C., Sorokowska, A., Sorokowski, P., Söylemez, S., Steffens, N. K., Stephen, I. D., Sternisko, A., Stevens-Wilson, L., Stewart, S. L. K., Stieger, S., Storage, D., Strube, J., Susa, K. J., Szekely-Copîndean, R. D., Szostak, N. M., Takwin, B., Tatachari, S., Thomas, A. G., Tiede, K. E., Tiong, L. E., Tonković, M., Trémolière, B., Tunstead, L. V., Türkan, B. N., Twardawski, M., Vadillo, M. A., Vally, Z., Vaughn, L. A., Verschuere, B., Vlašiček, D., Voracek, M., Vranka, M. A., Wang, S., West, S-L., Whyte, S., Wilton, L. S., Wlodarczyk, A., Wu, X., Xin, F., Yadanar, S., Yama, H., Yamada, Y., Yilmaz, O., Yoon, S., Young, D. M., Zakharov, I., Zein, R. A., Zettler, I., Žeželj, I. L., Zhang, D. C., Zhang, J., Zheng, X., Hoekstra, R. and Aczel, B. 2022. Situational factors shape moral judgments in the trolley dilemma in Eastern, Southern, and Western countries in a culturally diverse sample. Nature Human Behaviour. 6, pp. 880-895. https://doi.org/10.1038/s41562-022-01319-5

Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression

Wen, J., Fu, C. H. Y., Tosun, D., Veturi, Y., Yang, Z., Abdulkadir, A., Mamourian, E., Srinivasan, D., Skampardoni, I., Singh, A., Nawani, H., Bao, J., Erus, G., Shou, H., Habes, M., Doshi, J., Varol, E., Mackin, R. S., Sotiras, A., Fan, Y., Saykin, A. J., Sheline, Y. I., Shen, L., Ritchie, M. D., Wolk, D. A., Albert, M., Resnick, S. M. and Davatzikos, C. 2022. Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression. JAMA Psychiatry. 79 (5), pp. 464-474. https://doi.org/10.1001/jamapsychiatry.2022.0020

Predicting the Health Impacts of Commuting Using EEG Signal Based on Intelligent Approach

Sharif, S., Theeng Tamang, M. and Fu, C. 2021. Predicting the Health Impacts of Commuting Using EEG Signal Based on Intelligent Approach. 3ICT 2021: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. Bahrain, University of Bahrain 29 - 30 Sep 2021 IEEE. https://doi.org/10.1109/3ICT53449.2021.9582119

Observing infants together: long-term experiences of observers and families

Papoutsi, V and Fu, C. 2021. Observing infants together: long-term experiences of observers and families. Infant Observation. 24 (1), pp. 4-22. https://doi.org/10.1080/13698036.2021.1952094

Motor adaptation and internal model formation in a robot-mediated forcefield

Taga, M., Curci, A., Pizzamiglio, S., Lacal, I., Turner, D. and Fu, C. 2021. Motor adaptation and internal model formation in a robot-mediated forcefield. Psychoradiology. 1 (2), p. 73–87. https://doi.org/10.1093/psyrad/kkab007

Is tDCS a potential first line treatment for major depression?

Woodham, R., Rimmer, R., Mutz, J. and Fu, C. 2021. Is tDCS a potential first line treatment for major depression? International Review of Psychiatry. 33 (3), pp. 250-265. https://doi.org/10.1080/09540261.2021.1879030

Dehydration in older people: a systematic review of the effects of dehydration on health outcomes, healthcare costs and cognitive performance

Edmonds, C., Foglia, E., Booth, P., Fu, C. and Gardner, M. 2021. Dehydration in older people: a systematic review of the effects of dehydration on health outcomes, healthcare costs and cognitive performance. Archives of Gerontology and Geriatrics. 95 (Art. 104380). https://doi.org/10.1016/j.archger.2021.104380

Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders

Writing Committee for the Attention-Deficit/Hyperactivity Disorder, Autism Spectrum Disorder, Bipolar Disorder, Major Depressive Disorder, Obsessive-Compulsive Disorder, and Schizophrenia ENIGMA Working Groups 2020. Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders. JAMA Psychiatry. 78 (1), p. 47–63. https://doi.org/10.1001/jamapsychiatry.2020.2694

ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing

Schmaal, L., Pozzi, E., Ho, T. C., van Velzen, L. S., Veer, I. M., Opel, N., Van Someren, E. J. W., Han, L. K. M., Aftanas, L., Aleman, A., Baune, B. T., Berger, K., Blanken, T. F., Capitão, L., Couvy-Duchesne, B., Cullen, K. R., Dannlowski, U., Davey, C., Erwin-Grabner, T., Evans, J., Frodl, T., Fu, C., Godlewska, B., Gotlib, I. H., Goya-Maldonado, R., Grabe, H. J., Groenewold, N. A., Grotegerd, D., Gruber, O., Gutman, B. A., Hall, G. B., Harrison, B. J., Hatton, S. N., Hermesdorf, M., Hickie, I. B., Hilland, E., Irungu, B., Jonassen, R., Kelly, S., Kircher, T., Klimes-Dougan, B., Krug, A., Landrø, N. I., Lagopoulos, J., Leerssen, J., Li, M., Linden, D. E. J., MacMaster, F. P., McIntosh, A. M., Mehler, D. M. A., Nenadić, I., Penninx, B. W. J. H., Portella, M. J., Reneman, L., Rentería, M. E., Sacchet, M. D., Sämann, P. G., Schrantee, A., Sim, K., Soares, J. C., Stein, D. J., Tozzi, L., van Der Wee, N. J. A., van Tol, M., Vermeiren, R., Vives-Gilabert, Y., Walter, H., Walter, M., Whalley, H. C., Wittfeld, K., Whittle, S., Wright, M. J., Yang, T. T., Zarate Jr, C., Thomopoulos, S. I., Jahanshad, N., Thompson, P. M. and Veltman, D. J. 2020. ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing. Translational Psychiatry . 10 (Art. 172). https://doi.org/10.1038/s41398-020-0842-6

Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

Han, L. K. M., Dinga, R., Hahn, T., Ching, C. R. K., Eyler, L. T., Aftanas, L., Aghajani, M., Aleman, A., Baune, B. T., Berger, K., Brak, I., Filho, G. B., Carballedo, A., Connolly, C. G., Couvy-Duchesne, B., Cullen, K. R., Dannlowski, U., Davey, C. G., Dima, D., Duran, F. L. S., Enneking, V., Filimonova, E., Frenzel, S., Frodl, T., Fu, C., Godlewska, B. R., Gotlib, I. H., Grabe, H. J., Groenewold, N. A., Grotegerd, D., Gruber, O., Hall, G. B., Harrison, B. J., Hatton, S. N., Hermesdorf, M., Hickie, I. B., Ho, T. C., Hosten, N., Jansen, A., Kähler, B., Kircher, T., Klimes-Dougan, B., Krämer, B., Krug, A., Lagopoulos, J., Leenings, R., MacMaster, F. P., MacQueen, G., McIntosh, A., McLellan, Q., McMahon, K. L., Medland, S. E., Mueller, B. A., Mwangi, B., Osipov, E., Portella, M. J., Pozzi, E., Reneman, L., Repple, J., Rosa, P. G. P., Sacchet, M. D., Sämann, P. G., Schnell, K., Schrantee, A., Simulionyte, E., Soares, J. C., Sommer, J., Stein, D. J., Steinsträter, O., Strike, L. T., Thomopoulos, S. I., van Tol, M., Veer, I. M., Vermeiren, R. R. J. M., Walter, H., van der Wee, N. J. A., van der Werff, S. J. A., Whalley, H., Winter, N. R., Wittfeld, K., Wright, M. J., Wu, M., Völzke, H., Yang, T. T., Zannias, V., de Zubicaray, G. I., Zunta-Soares, G. B., Abé, C., Alda, M., Andreassen, O. A., Bøen, E., Bonnin, C. M., Canales-Rodriguez, E. J., Cannon, D., Caseras, X., Chaim-Avancini, T. M., Elvsåshagen, T., Favre, P., Foley, S. F., Fullerton, J. M., Goikolea, J. M., Haarman, B. C. M., Hajek, T., Henry, C., Houenou, J., Howells, F. M., Ingvar, M., Kuplicki, R., Lafer, B., Landén, M., Machado-Vieira, R., Malt, U. F., McDonald, C., Mitchell, P. B., Nabulsi, L., Concepcion Garcia Otaduy, M., Overs, B. J., Polosan, M., Pomarol-Clotet, E., Radua, J., Rive, M. M., Roberts, G., Ruhe, H. G., Salvador, R., Sarró, S., Satterthwaite, T. D., Savitz, J., Schene, A. H., Schofield, P. R., Serpa, M. H., Sim, K., Gerhardt Soeiro-de-Souza, M., Sutherland, A. N., Temmingh, H. S., Timmons, G. M., Uhlmann, A., Vieta, E., Wolf, D. H., Zanetti, M. V., Jahanshad, N., Thompson, P. M., Veltman, D. J., Penninx, B. W. J. H., Marquand, A. F., Cole J. H. and Schmaal, L. 2020. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group. Molecular Psychiatry. 26, pp. 5124-5139. https://doi.org/10.1038/s41380-020-0754-0

Brain-derived neurotrophic factor association with amygdala response in major depressive disorder

Lorenzetti, V., Costafreda, S. G., Rimmer, R., Rasenick, M. M., Marangell, L. B. and Fu, C. 2020. Brain-derived neurotrophic factor association with amygdala response in major depressive disorder. Journal of Affective Disorders. 267, pp. 103-106. https://doi.org/10.1016/j.jad.2020.01.159

The Neuroscience of Sadness: A Multidisciplinary Synthesis and Collaborative Review for the Human Affectome Project

Arias, J. A., Williams, C., Raghvani, R., Aghajani, M., Baez, S., Belzung, C., Booij, L., Busatto, G., Chiarella, J., Fu, C., Ibanez, A., Liddell, B. J., Lowe, L., Penninx, B. W. J. H., Rosa, P. and Kemp, A. H. 2020. The Neuroscience of Sadness: A Multidisciplinary Synthesis and Collaborative Review for the Human Affectome Project. Neuroscience & Biobehavioral Reviews. 111, pp. 199-228. https://doi.org/10.1016/j.neubiorev.2020.01.006

Addressing heterogeneity (and homogeneity) in treatment mechanisms in depression and the potential to develop diagnostic and predictive biomarkers

Fu, C., Fan, Y. and Davatzikos, C. 2019. Addressing heterogeneity (and homogeneity) in treatment mechanisms in depression and the potential to develop diagnostic and predictive biomarkers. NeuroImage: Clinical. 24 (Art.101997). https://doi.org/10.1016/j.nicl.2019.101997

Comparative efficacy and acceptability of non-surgical brain stimulation for the acute treatment of major depressive episodes in adults: systematic review and network meta-analysis

Mutz, Julian, Vipulananthan, Vijeinika, Carter, Ben, Hurlemann, René, Fu, C. and Young, Allan H. 2019. Comparative efficacy and acceptability of non-surgical brain stimulation for the acute treatment of major depressive episodes in adults: systematic review and network meta-analysis. BMJ. 364, p. Art. l1079. https://doi.org/10.1136/bmj.l1079

Anodal transcranial direct current stimulation over the right dorsolateral prefrontal cortex enhances reflective judgment & decision-making

Edgcumbe, Daniel R., Thoma, V., Rivolta, Davide, Nitsche, Michael A. and Fu, C. 2018. Anodal transcranial direct current stimulation over the right dorsolateral prefrontal cortex enhances reflective judgment & decision-making. Brain Stimulation. 12 (3), pp. 652-658. https://doi.org/10.1016/j.brs.2018.12.003

Associations between polygenic risk scores for four psychiatric illnesses and brain structure using multivariate pattern recognition

Ranlund, Siri, Rosa, Maria Joao, de Jong, Simone, Cole, James H., Kyriakopoulos, Marinos, Fu, C., Mehta, Mitul A. and Dima, Danai 2018. Associations between polygenic risk scores for four psychiatric illnesses and brain structure using multivariate pattern recognition. NeuroImage: Clinical. 20, pp. 1026-1036. https://doi.org/10.1016/j.nicl.2018.10.008

The effect of psychosis associated CACNA1C, and its epistasis with ZNF804A, on brain function

Tecelão, Diogo, Mendes, Ana, Martins, Daniel, Fu, C., Chaddock, Christopher A, Picchioni, Marco M, McDonald, Colm, Kalidindi, Sridevi, Murray, Robin and Prata, Diana P 2018. The effect of psychosis associated CACNA1C, and its epistasis with ZNF804A, on brain function. Genes, Brain and Behavior. 18 (4), p. e12510. https://doi.org/10.1111/gbb.12510

Unravelling the GSK3β-related genotypic interaction network influencing hippocampal volume in recurrent major depressive disorder

Inkster, Becky, Simmons, Andy, Cole, James, Schoof, Erwin, Linding, Rune, Nichols, Tom, Muglia, Pierandrea, Holsboer, Florian, Saemann, Philipp, McGuffin, Peter, Fu, C., Miskowiak, Kamilla, Matthews, Paul M., Zai, Gwyneth and Nicodemus, Kristin 2018. Unravelling the GSK3β-related genotypic interaction network influencing hippocampal volume in recurrent major depressive disorder. Psychiatric Genetics. 28 (5), pp. 77-84. https://doi.org/10.1097/YPG.0000000000000203

A systematic review and meta-analysis of the neural correlates of psychological therapies in major depression

Sankar, Anjali, Melin, Alice, Lorenzetti, Valentina, Horton, Paul, Costafreda, Sergi G. and Fu, C. 2018. A systematic review and meta-analysis of the neural correlates of psychological therapies in major depression. Psychiatry Research: Neuroimaging. 279, pp. 31-39. https://doi.org/10.1016/j.pscychresns.2018.07.002

Efficacy and acceptability of non-invasive brain stimulation for the treatment of adult unipolar and bipolar depression: A systematic review and meta-analysis of randomised sham-controlled trials

Mutz, Julian, Edgcumbe, Daniel R., Brunoni, Andre R. and Fu, C. 2018. Efficacy and acceptability of non-invasive brain stimulation for the treatment of adult unipolar and bipolar depression: A systematic review and meta-analysis of randomised sham-controlled trials. Neuroscience & Biobehavioral Reviews. 92, pp. 291-303. https://doi.org/10.1016/j.neubiorev.2018.05.015

Other race effect on amygdala response during affective facial processing in major depression

Sankar, Anjali, Costafreda, Sergi G., Marangell, Lauren B. and Fu, C. 2018. Other race effect on amygdala response during affective facial processing in major depression. Neuroscience Letters. 662, pp. 381-384. https://doi.org/10.1016/j.neulet.2017.10.043

Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model

Zhu, Dajiang, Riedel, Brandalyn C., Jahanshad, Neda, Groenewold, Nynke A., Stein, Dan J., Gotlib, Ian H., Dima, Danai, Cole, James H., Fu, C., Walter, Henrik, Veer, Ilya M., Frodl, Thomas, Schmaal, Lianne, Veltman, Dick J. and Thompson, Paul M. 2017. Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model. in: Descoteaux, Maxime, Maier-Hein, Lena, Franz, Alfred, Jannin, Pierre, Collins, D. Louis and Duchesne, Simon (ed.) Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017 Springer, Cham.

Effects of antidepressant therapy on neural components of verbal working memory in depression

Sankar, Anjali, Adams, Tracey M, Costafreda, Sergi G. and Fu, C. 2017. Effects of antidepressant therapy on neural components of verbal working memory in depression. Journal of Psychopharmacology. 31 (9), pp. 1176-1183. https://doi.org/10.1177/0269881117724594

Diagnostic potential of structural neuroimaging for depression from a multi-ethnic community sample

Sankar, Anjali, Zhang, Tianhao, Gaonkar, Bilwaj, Doshi, Jimit, Erus, Guray, Costafreda, Sergi G., Marangell, Lauren, Davatzikos, Christos and Fu, C. 2016. Diagnostic potential of structural neuroimaging for depression from a multi-ethnic community sample. BJPsych Open. 2 (4), pp. 247-254. https://doi.org/10.1192/bjpo.bp.115.002493

Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis

Wise, T., Radua, J., Via, E., Cardoner, N., Abe, O., Adams, T. M., Amico, F., Cheng, Y., Cole, J. H., de Azevedo Marques Périco, C., Dickstein, D. P., Farrow, T. F. D., Frodl, T., Wagner, G., Gotlib, I. H., Gruber, O., Ham, B. J., Job, D. E., Kempton, M. J., Kim, M. J., Koolschijn, P. C. M. P., Malhi, G. S., Mataix-Cols, D., McIntosh, A. M., Nugent, A. C., O'Brien, J. T.., Pezzoli, S, Phillips, M. L., Sachdev, P. S., Salvadore, G., Selvaraj, S., Stanfield, A. C., Thomas, A. J., van Tol, M. J., van der Wee, N. J. A., Veltman, D. J., Young, A. H., Fu, C., Cleare, A. J. and Arnone, D. 2016. Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis. Molecular Psychiatry. https://doi.org/10.1038/mp.2016.72

A systematic review of the neurophysiology of mindfulness on EEG oscillations

Lomas, T., Ivtzan, I. and Fu, C. 2015. A systematic review of the neurophysiology of mindfulness on EEG oscillations. Neuroscience & Biobehavioral Reviews. 57, pp. 401-410.

Multimodal functional and structural neuroimaging investigation of major depressive disorder following treatment with duloxetine

Fu, C., Costafreda, Sergi G, Sankar, Anjali, Adams, Tracey M, Rasenick, Mark M, Liu, Peng, Donati, Robert, Maglanoc, Luigi A, Horton, Paul and Marangell, Lauren B 2015. Multimodal functional and structural neuroimaging investigation of major depressive disorder following treatment with duloxetine. BMC Psychiatry. 15 (1).

Modulatory effects of brain-derived neurotrophic factor Val66Met polymorphism on prefrontal regions in major depressive disorder

Legge, R. M., Sendi, S., Cole, J. H., Cohen-Woods, S., Costafreda, S. G., Simmons, A., Farmer, A. E., Aitchison, K. J., McGuffin, P. and Fu, C. 2015. Modulatory effects of brain-derived neurotrophic factor Val66Met polymorphism on prefrontal regions in major depressive disorder. The British Journal of Psychiatry. 206 (5), pp. 379-384.

Meta-analyses of structural regional cerebral effects in type 1 and type 2 diabetes

Moulton, Calum D., Costafreda, Sergi G., Horton, Paul, Ismail, Khalida and Fu, C. 2015. Meta-analyses of structural regional cerebral effects in type 1 and type 2 diabetes. Brain Imaging and Behavior. 9 (4), pp. 651-662.

Neural effects of cognitive–behavioural therapy on dysfunctional attitudes in depression

Sankar, A., Scott, J., Paszkiewicz, A., Giampietro, V. P., Steiner, H. and Fu, C. 2014. Neural effects of cognitive–behavioural therapy on dysfunctional attitudes in depression. Psychological Medicine. 45 (7), pp. 1425-1433.

Recent Advances in Neuroimaging of Mood Disorders: Structural and Functional Neural Correlates of Depression, Changes with Therapy, and Potential for Clinical Biomarkers

Atkinson, Lauren, Sankar, Anjali, Adams, Tracey M. and Fu, C. 2014. Recent Advances in Neuroimaging of Mood Disorders: Structural and Functional Neural Correlates of Depression, Changes with Therapy, and Potential for Clinical Biomarkers. Current Treatment Options in Psychiatry. 1 (3), pp. 278-293. https://doi.org/10.1007/s40501-014-0022-5

Modafinil Augmentation Therapy in Unipolar and Bipolar Depression

Goss, Alexander J., Kaser, Muzaffer, Costafreda, Sergi G., Sahakian, Barbara J. and Fu, C. 2013. Modafinil Augmentation Therapy in Unipolar and Bipolar Depression. The Journal of Clinical Psychiatry. 74 (11), pp. 1101-1107. https://doi.org/10.4088/JCP.13r08560

Neuroimaging-Based Biomarkers in Psychiatry: Clinical Opportunities of a Paradigm Shift

Fu, C. and Costafreda, Sergi G. 2013. Neuroimaging-Based Biomarkers in Psychiatry: Clinical Opportunities of a Paradigm Shift. Canadian Journal of Psychiatry. 58 (9), pp. 499-508.

Body mass index, but not FTO genotype or major depressive disorder, influences brain structure

Cole, J.H., Boyle, C.P., Simmons, A., Cohen-Woods, S., Rivera, M., McGuffin, P., Thompson, P.M. and Fu, C. 2013. Body mass index, but not FTO genotype or major depressive disorder, influences brain structure. Neuroscience. 252 (Nov.), pp. 109-117. https://doi.org/10.1016/j.neuroscience.2013.07.015

Modulation of amygdala response and connectivity in depression by serotonin transporter polymorphism and diagnosis

Costafreda, Sergi G., McCann, Peter, Saker, Pascal, Cole, James H., Cohen-Woods, Sarah, Farmer, Anne E., Aitchison, Katherine J., McGuffin, Peter and Fu, C. 2013. Modulation of amygdala response and connectivity in depression by serotonin transporter polymorphism and diagnosis. Journal of Affective Disorders. 150 (1), pp. 96-103. https://doi.org/10.1016/j.jad.2013.02.028

White matter abnormalities and illness severity in major depressive disorder

Cole, James, Chaddock, Christopher A., Farmer, Anne E., Aitchison, Katherine J., Simmons, Andrew, McGuffin, Peter and Fu, C. 2012. White matter abnormalities and illness severity in major depressive disorder. British Journal of Psychiatry. 201 (01), pp. 33-39. https://doi.org/10.1192/bjp.bp.111.100594

Predictive neural biomarkers of clinical response in depression: A meta-analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies

Fu, C., Steiner, Herbert and Costafreda, Sergi G. 2013. Predictive neural biomarkers of clinical response in depression: A meta-analysis of functional and structural neuroimaging studies of pharmacological and psychological therapies. Neurobiology of Disease. 52, pp. 75-83. https://doi.org/10.1016/j.nbd.2012.05.008

Interaction between effects of genes coding for dopamine and glutamate transmission on striatal and parahippocampal function

Pauli, Andreina, Prata, Diana P., Mechelli, Andrea, Picchioni, Marco, Fu, C., Chaddock, Christopher A., Kane, Fergus, Kalidindi, Sridevi, McDonald, Colm, Kravariti, Eugenia, Toulopoulou, Timothea, Bramon, Elvira, Walshe, Muriel, Ehlert, Natascha, Georgiades, Anna, Murray, Robin, Collier, David A. and McGuire, Philip 2012. Interaction between effects of genes coding for dopamine and glutamate transmission on striatal and parahippocampal function. Human Brain Mapping. 34 (9), pp. 2244-2258. https://doi.org/10.1002/hbm.22061

Hippocampal atrophy in first episode depression: A meta-analysis of magnetic resonance imaging studies

Cole, James, Costafreda, Sergi G., McGuffin, Peter and Fu, C. 2011. Hippocampal atrophy in first episode depression: A meta-analysis of magnetic resonance imaging studies. Journal of Affective Disorders. 134 (1-3), pp. 483-487. https://doi.org/10.1016/j.jad.2011.05.057

No effect of 5HTTLPR or BDNF Val66Met polymorphism on hippocampal morphology in major depression

Cole, J., Weinberger, D. R., Mattay, V. S., Cheng, X., Toga, A. W., Thompson, P. M., Powell-Smith, G., Cohen-Woods, S., Simmons, A., McGuffin, P. and Fu, C. 2011. No effect of 5HTTLPR or BDNF Val66Met polymorphism on hippocampal morphology in major depression. Genes, Brain and Behavior. 10 (7), pp. 756-764. https://doi.org/10.1111/j.1601-183X.2011.00714.x

Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder

Costafreda, Sergi G, Fu, C., Picchioni, Marco, Toulopoulou, Timothea, McDonald, Colm, Kravariti, Eugenia, Walshe, Muriel, Prata, Diana, Murray, Robin M and McGuire, Philip K 2011. Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder. BMC Psychiatry. 11 (1), p. 18.

Ketamine-Induced Disruption of Verbal Self-Monitoring Linked to Superior Temporal Activation

Stone, J. M., Abel, K. M., Allen, M.P.G., van Haren, N., Matsumoto, K., McGuire, P. K. and Fu, C. 2010. Ketamine-Induced Disruption of Verbal Self-Monitoring Linked to Superior Temporal Activation. Pharmacopsychiatry. 44 (1), pp. 33-48. https://doi.org/10.1055/s-0030-1267942

Cortisol responses to serial MRI scans in healthy adults and in depression

Peters, Sabine, Cleare, Anthony J., Papadopoulos, Andrew and Fu, C. 2011. Cortisol responses to serial MRI scans in healthy adults and in depression. Psychoneuroendocrinology. 36 (5), pp. 737-741. https://doi.org/10.1016/j.psyneuen.2010.10.009

Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression

Nouretdinov, Ilia, Costafreda, Sergi G., Gammerman, Alexander, Chervonenkis, Alexey, Vovk, Vladimir, Vapnik, Vladimir and Fu, C. 2011. Machine learning classification with confidence: Application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression. NeuroImage. 56 (2), pp. 809-813. https://doi.org/10.1016/j.neuroimage.2010.05.023

Subregional hippocampal deformations in major depressive disorder

Cole, James, Toga, Arthur W., Hojatkashani, Cornelius, Thompson, Paul, Costafreda, Sergi G., Cleare, Anthony J., Williams, Steven C.R., Bullmore, Edward T., Scott, Jan L., Mitterschiffthaler, Martina T., Walsh, Nicholas D., Donaldson, Catherine, Mirza, Mubeena, Marquand, Andre, Nosarti, Chiara, McGuffin, Peter and Fu, C. 2010. Subregional hippocampal deformations in major depressive disorder. Journal of Affective Disorders. 126 (1-2), pp. 272-277. https://doi.org/10.1016/j.jad.2010.03.004

Amygdala activation to masked happy facial expressions

Juruena, Mario F., Giampietro, Vincent P., Smith, Stephen D., Surguladze, Simon A., Dalton, Jeffrey A., Benson, Philip J., Cleare, Anthony J. and Fu, C. 2010. Amygdala activation to masked happy facial expressions. Journal of the International Neuropsychological Society. 16 (02), pp. 383-387. https://doi.org/10.1017/S1355617709991172

Prognostic and Diagnostic Potential of the Structural Neuroanatomy of Depression

Domschke, Katharina, Costafreda, Sergi G., Chu, Carlton, Ashburner, John and Fu, C. 2009. Prognostic and Diagnostic Potential of the Structural Neuroanatomy of Depression. PLoS ONE. 4 (7), p. e6353.

Neural correlates of sad faces predict clinical remission to cognitive behavioural therapy in depression

Costafreda, Sergi G., Khanna, Akash, Mourao-Miranda, Janaina and Fu, C. 2009. Neural correlates of sad faces predict clinical remission to cognitive behavioural therapy in depression. NeuroReport. 20 (7), pp. 637-641. https://doi.org/10.1097/WNR.0b013e3283294159

Neuroanatomy of verbal working memory as a diagnostic biomarker for depression

Marquand, Andre F., Mourão-Miranda, Janaina, Brammer, Michael J., Cleare, Anthony J. and Fu, C. 2008. Neuroanatomy of verbal working memory as a diagnostic biomarker for depression. NeuroReport. 19 (15), pp. 1507-1511. https://doi.org/10.1097/WNR.0b013e328310425e

Neural Responses to Sad Facial Expressions in Major Depression Following Cognitive Behavioral Therapy

Fu, C., Williams, Steven C.R., Cleare, Anthony J., Scott, Jan, Mitterschiffthaler, Martina T., Walsh, Nicholas D., Donaldson, Catherine, Suckling, John, Andrew, Chris, Steiner, Herbert and Murray, Robin M. 2008. Neural Responses to Sad Facial Expressions in Major Depression Following Cognitive Behavioral Therapy. Biological Psychiatry. 64 (6), pp. 505-512. https://doi.org/10.1016/j.biopsych.2008.04.033

Predictors of amygdala activation during the processing of emotional stimuli: A meta-analysis of 385 PET and fMRI studies

Costafreda, Sergi G., Brammer, Michael J., David, Anthony S. and Fu, C. 2007. Predictors of amygdala activation during the processing of emotional stimuli: A meta-analysis of 385 PET and fMRI studies. Brain Research Reviews. 58 (1), pp. 57-70. https://doi.org/10.1016/j.brainresrev.2007.10.012

Pattern Classification of Sad Facial Processing: Toward the Development of Neurobiological Markers in Depression

Fu, C., Mourao-Miranda, Janaina, Costafreda, Sergi G., Khanna, Akash, Marquand, Andre F., Williams, Steve C.R. and Brammer, Michael J. 2008. Pattern Classification of Sad Facial Processing: Toward the Development of Neurobiological Markers in Depression. Biological Psychiatry. 63 (7), pp. 656-662. https://doi.org/10.1016/j.biopsych.2007.08.020

Neural basis of the emotional Stroop interference effect in major depression

Mitterschiffthaler, M. T., Williams, S. C. R., Walsh, N. D., Cleare, A. J., Donaldson, C., Scott, J. and Fu, C. 2008. Neural basis of the emotional Stroop interference effect in major depression. Psychological Medicine. 38 (02), pp. 247-256. https://doi.org/10.1017/S0033291707001523
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