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Progressive Reduction in Cortical Thickness as Psychosis Develops: A Multisite Longitudinal Neuroimaging Study of Youth at Elevated Clinical Risk
Open accessAbstract
Background Individuals at clinical high risk (CHR) who progress to fully psychotic symptoms have been observed to show a steeper rate of cortical gray matter reduction compared with individuals without symptomatic progression and with healthy control subjects. Whether such changes reflect processes associated with the pathophysiology of schizophrenia or exposure to antipsychotic drugs is unknown. Methods In this multisite study, 274 CHR cases, including 35 individuals who converted to psychosis, and 135 healthy comparison subjects were scanned with magnetic resonance imaging at baseline, 12-month follow-up, or the point of conversion for the subjects who developed fully psychotic symptoms. Results In a traveling subjects substudy, excellent reliability was observed for measures of cortical thickness and subcortical volumes. Controlling for multiple comparisons throughout the brain, CHR subjects who converted to psychosis showed a steeper rate of gray matter loss in the right superior frontal, middle frontal, and medial orbitofrontal cortical regions as well as a greater rate of expansion of the third ventricle compared with CHR subjects who did not convert to psychosis and healthy control subjects. Differential tissue loss was present in subjects who had not received antipsychotic medications during the interscan interval and was predicted by baseline levels of an aggregate measure of proinflammatory cytokines in plasma. Conclusions These findings demonstrate that the brain changes are not explained by exposure to antipsychotic drugs but likely play a role in psychosis pathophysiology. Given that the cortical changes were more pronounced in subjects with briefer durations of prodromal symptoms, contributing factors may predominantly play a role in acute-onset forms of psychosis.
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“Schizophrenia is associated with accelerated gray matter loss in PFC (Cannon, Chung, He, Sun, Jacobson, van Erp, & Consortium, 2014), including loss of dendrites and spines in the dlPFC (Glantz & Lewis, 2000).”
From Guanfacine’s mechanism of action in treating prefrontal cortical disorders: Successful translation across species (2020) · cites this paper as Cannon et al., 2014
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“For example, there is loss of dlPFC gray matter in schizophrenia4,5 and Alzheimer’s disease6, while changes in more ventral and medial PFC regions are evident in mood disorders7 and in post-traumatic-stress disorder (PTSD)8.”
From Stress weakens prefrontal networks: molecular insults to higher cognition (2015) · cites this paper as [5]
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“Indeed, the onset of schizophrenia is accompanied by waves of PFC gray matter loss, as well as increased signs of inflammation5.”
From Stress weakens prefrontal networks: molecular insults to higher cognition (2015) · cites this paper as [5]
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“Indeed, the onset of schizophrenia is accompanied by waves of PFC gray matter loss, as well as increased signs of inflammation5.”
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“As guanfacine is approved by the US Food and Drug Administration for use in adolescents103, it may offer a practical approach for reducing the inflammatory response and gray matter loss found in prodromal schizophrenia5.”
From Stress weakens prefrontal networks: molecular insults to higher cognition (2015) · cites this paper as [5]
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1 retracted
Rao, J. S., Kim, H.-W., Harry, G. J., Rapoport, S. I., & Reese, E. A. (2013) · Schizophrenia Research · doi:10.1016/j.schres.2013.02.017 · Cited by 106
RetractedCortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,995
Automatically Parcellating the Human Cerebral Cortex
Fischl, B. R. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg087 · Cited by 4,208
Within-subject template estimation for unbiased longitudinal image analysis
Reuter, M., Schmansky, N. J., Rosas, H. D., & Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.084 · Cited by 2,356
Chlorpromazine Equivalent Doses for the Newer Atypical Antipsychotics
Woods, S. W. (2003) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v64n0607 · Cited by 2,056
Self-citationHighly accurate inverse consistent registration: A robust approach
Reuter, M., Rosas, H. D., & Fischl, B. R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.020 · Cited by 1,443
Schizophrenia: Caused by a fault in programmed synaptic elimination during adolescence?
Feinberg, I. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90038-3 · Cited by 1,395
Cited by
Sorted by citations
Items 101–200 of 600
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Addington, J., Farris, M. S., Stowkowy, J., Santesteban‐Echarri, O., Metzak, P. D., & Kalathil, M. S. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1027-y · Cited by 69
Self-citationMerritt, K., Laguna, P. A. L., Irfan, A., & David, A. S. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.620401 · Cited by 67
Fraguas, D., Díaz‐Caneja, C. M., Pina‐Camacho, L., Janssen, J., & Arango, C. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.12.022 · Cited by 70
Núñez, C., Stephan‐Otto, C., Usall, J., Bioque, M., Lobo, A., González-Pinto, A. M., Pina‐Camacho, L., Vieta, E., Castro‐Fornieles, J., Rodríguez–Jiménez, R., et al. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby113 · Cited by 68
Cortical abnormalities in youth at clinical high-risk for psychosis: Findings from the NAPLS2 cohort
Chung, Y., Allswede, D. M., Addington, J., Bearden, C. E., Cadenhead, K. S., Cornblatt, B. A., Mathalon, D. H., McGlashan, T. H., Perkins, D. O., Seidman, L. J., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101862 · Cited by 67
Self-citationBartholomeusz, C. F., Cropley, V., Wannan, C., Biase, M. A. D., McGorry, P. D., & Pantelis, C. (2016) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867416670522 · Cited by 68
Inflammatory biomarkers in individuals at clinical high risk for psychosis (CHR-P): State or trait?
Khoury, R., & Nasrallah, H. A. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.04.017 · Cited by 65
Tamouza, R., Meyer, U., Foiselle, M., Richard, J., Wu, C., Boukouaci, W., Corvoisier, P. L., Barrau, C., Lucas, A., Perron, H., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01499-0 · Cited by 71
Chakravarty, M. M., Rapoport, J. L., Giedd, J. N., Raznahan, A., Shaw, P., Collins, D. L., Lerch, J. P., & Gogtay, N. (2014) · Human Brain Mapping · doi:10.1002/hbm.22715 · Cited by 68
Sasabayashi, D., Takayanagi, Y., Takahashi, T., Koike, S., Yamasue, H., Katagiri, N., Sakuma, A., Obara, C., Nakamura, M., Furuichi, A., et al. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.05.018 · Cited by 64
Hippocampal circuit dysfunction in psychosis
Knight, S., McCutcheon, R. A., Dwir, D., Grace, A. A., O’Daly, O., McGuire, P. K., & Modinos, G. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02115-5 · Cited by 61
Kose, M., Pariante, C. M., Dazzan, P., & Mondelli, V. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.612471 · Cited by 61
Dual-process theory, conflict processing, and delusional belief
Bronstein, M. V., Pennycook, G., Joormann, J., Corlett, P. R., & Cannon, T. D. (2019) · Clinical Psychology Review · doi:10.1016/j.cpr.2019.101748 · Cited by 68
Self-citationFame, R. M., Cortés‐Campos, C., & Sive, H. L. (2020) · BioEssays · doi:10.1002/bies.201900186 · Cited by 64
Investigation of peripheral complement factors across stages of psychosis
Laskaris, L., Zalesky, A., Weickert, C. S., Biase, M. A. D., Chana, G., Baune, B. T., Bousman, C., Nelson, B., McGorry, P. D., Everall, I., et al. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.11.035 · Cited by 61
MicroRNAs in the Onset of Schizophrenia
Thomas, K. T., & Zakharenko, S. S. (2021) · Cells · doi:10.3390/cells10102679 · Cited by 64
Using neuroimaging to help predict the onset of psychosis
Gifford, G., Crossley, N. A., Fusar‐Poli, P., Schnack, H. G., Kahn, R. S., Koutsouleris, N., Cannon, T. D., & McGuire, P. K. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.075 · Cited by 62
Self-citationHoang, D. T., Xu, Y., Lutz, O., Bannai, D., Zeng, V., Bishop, J. R., Keshavan, M. S., & Lizano, P. L. (2021) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2021.11.019 · Cited by 58
The complement system in neurodegenerative diseases
Nimmo, J., Byrne, R. A. J., Daskoulidou, N., Watkins, L. M., Carpanini, S. M., Zelek, W. M., & Morgan, B. P. (2024) · Clinical Science · doi:10.1042/cs20230513 · Cited by 60
Ike, K. G. O., de Boer, S. F., Buwalda, B., & Kas, M. J. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.06.030 · Cited by 64
Tang, Y., Wang, J., Zhang, T., Xu, L. N., Qian, Z., Cui, H., Tang, X. Y., Whitfield‐Gabrieli, S., Whitfield, S., Shenton, M. E., et al. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.02.014 · Cited by 57
Self-citationNo progressive brain changes during a 1-year follow-up of patients with first-episode psychosis
Haukvik, U. K., Hartberg, C. B., Nerland, S., Jørgensen, K. N., Lange, E. H., Simonsen, C., Nesvåg, R., Dale, A. M., Andreassen, O. A., Melle, I. S., et al. (2015) · Psychological Medicine · doi:10.1017/s003329171500210x · Cited by 56
Seitz, J., Zuo, J. X., Lyall, A. E., Makris, N., Kikinis, Z., Sylvain Bouix, A., Pasternak, O., Fredman, E., Duskin, J. A., Goldstein, J. M., et al. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbv171 · Cited by 57
Self-citationTreatment-Resistant Schizophrenia: Genetic and Neuroimaging Correlates
Vita, A., Minelli, A., Barlati, S., Deste, G., Giacopuzzi, E., Valsecchi, P., Turrina, C., & Gennarelli, M. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.00402 · Cited by 57
Prediction of outcome in the psychosis prodrome using neuroanatomical pattern classification
Kambeitz‐Ilankovic, L., Meisenzahl, E. M., Cabral, C., von Saldern, S., Kambeitz, J. P., Falkai, P., Möller, H., Reiser, M. F., & Koutsouleris, N. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.03.005 · Cited by 56
Progression from being at-risk to psychosis: next steps
Addington, J., Farris, M. S., Devoe, D. J. A., & Metzak, P. D. (2020) · Schizophrenia · doi:10.1038/s41537-020-00117-0 · Cited by 59
Self-citationAberrant Complement System Activation in Neurological Disorders
Ziąbska, K., Ziemka‐Nałęcz, M., Pawelec, P., Sypecka, J., & Zalewska, T. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094675 · Cited by 54
Selvaraj, S., Bloomfield, P. S., Cao, B., Veronese, M., Turkheimer, F., & Howes, O. D. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.08.063 · Cited by 55
Leucht, S., Siafis, S., McGrath, J. J., McGorry, P. D., Howes, O. D., Tamminga, C. A., Carr, R., Bighelli, I., Schneider‐Thoma, J., Priller, J., et al. (2025) · Nature Reviews Disease Primers · doi:10.1038/s41572-025-00667-6 · Cited by 73
Klauser, P., Zhou, J. H., Lim, J. K. W., Poh, J. S., Zheng, H., Tng, H. Y., Krishnan, R. K. R., Lee, J., Keefe, R. S. E., Adcock, R. A., et al. (2015) · Schizophrenia Bulletin · doi:10.1093/schbul/sbv012 · Cited by 54
Neuroprogression across the Early Course of Psychosis
Lewandowski, K. E., Sylvain Bouix, A., Öngür, D., & Shenton, M. E. (2020) · Journal of Psychiatry and Brain Science · doi:10.20900/jpbs.20200002 · Cited by 51
Synaptic elimination by microglia and disturbed higher brain functions
Miyanishi, K., Sato, A., Kihara, N., Utsunomiya, R., & Tanaka, J. (2020) · Neurochemistry International · doi:10.1016/j.neuint.2020.104901 · Cited by 53
Czepielewski, L. S., Wang, L., Gama, C. S., & Barch, D. M. (2016) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw090 · Cited by 53
Bois, C., Levita, L., Ripp, I., Owens, D. C. G., Johnstone, E. C., Whalley, H. C., & Lawrie, S. M. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.03.024 · Cited by 52
Walter, A., Suenderhauf, C., Harrisberger, F., Lenz, C., Smieskova, R., Chung, Y., Cannon, T. D., Bearden, C. E., Rapp, C., Bendfeldt, K., et al. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.10.007 · Cited by 56
Self-citationPrasad, K. M. R., Chowdari, K. V., D’Aiuto, L., Iyengar, S., Stanley, J. A., & Nimgaonkar, V. L. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0181-z · Cited by 51
Arnsten, A. F. T., & Wang, M. (2016) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010715-103617 · Cited by 50
Chung, Y., Haut, K. M., He, G. S., van Erp, T. G. M., McEwen, S. C., Addington, J., Bearden, C. E., Cadenhead, K. S., Cornblatt, B. A., Mathalon, D. H., et al. (2017) · Schizophrenia Research · doi:10.1016/j.schres.2017.02.014 · Cited by 50
Self-citationPruning hypothesis comes of age
Johnson, M. B., & Stevens, B. (2018) · Nature · doi:10.1038/d41586-018-02053-7 · Cited by 48
Lifespan evolution of neurocognitive impairment in schizophrenia - A narrative review
Fett, A.-K. J., Reichenberg, A., & Velthorst, E. (2022) · Schizophrenia Research Cognition · doi:10.1016/j.scog.2022.100237 · Cited by 49
Advancing preclinical models of psychiatric disorders with human brain organoid cultures
Dixon, T. A., & Muotri, A. R. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01708-2 · Cited by 49
Biomarkers for drug development in early psychosis: Current issues and promising directions
GOFF, D. C., Romero, K., Paul, J., Pérez-Rodríguez, M. M., CRANDALL, D. T., & Potkin, S. G. (2016) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2016.01.009 · Cited by 49
Alterations in the hippocampus and thalamus in individuals at high risk for psychosis
Harrisberger, F., Buechler, R., Smieskova, R., Lenz, C., Walter, A., Egloff, L., Bendfeldt, K., Simon, A. E., Wotruba, D., Theodoridou, A., et al. (2016) · Schizophrenia · doi:10.1038/npjschz.2016.33 · Cited by 47
Molecular mechanisms underlying noncoding risk variations in psychiatric genetic studies
Xiao, X., Chang, H., & Li, M. (2017) · Molecular Psychiatry · doi:10.1038/mp.2016.241 · Cited by 51
Longitudinal perspectives on the psychosis spectrum in 22q11.2 deletion syndrome
Tang, S. X., & Gur, R. E. (2017) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.38500 · Cited by 48
Brain-Predicted Age Associates With Psychopathology Dimensions in Youths
Cropley, V., Tian, Y., Fernando, K. B., Sina Mansour, L., Pantelis, C., Cocchi, L., & Zalesky, A. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.07.014 · Cited by 51
Huang, Y., Jiang, H., Zheng, Q., Fok, A. H. K., Li, X., Lau, C. G., & Lai, C. S. W. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-01005-w · Cited by 47
de Bartolomeis, A., Buonaguro, E. F., Latte, G., Rossi, R., Marmo, F., Iasevoli, F., & Tomasetti, C. (2017) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2017.00240 · Cited by 44
Kirschner, M., Hodzic-Santor, B. H., Antoniades, M., Nenadić, I., Kircher, T. T. J., Krug, A., Meller, T., Grotegerd, D., Fornito, A., Arnatkevičiūtė, A., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01359-9 · Cited by 46
Cropley, V., Lin, A. P., Nelson, B., Reniers, R. L. E. P., Yung, A. R., Bartholomeusz, C. F., Klauser, P., Velakoulis, D., McGorry, P. D., Wood, S. J., et al. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.05.014 · Cited by 46
Zhu, Y., Nakatani, H., Yassin, W., Maikusa, N., Okada, N., Kunimatsu, A., Abe, O., Kuwabara, H., Yamasue, H., Kasai, K., et al. (2022) · Schizophrenia Bulletin · doi:10.1093/schbul/sbac030 · Cited by 43
Carrión, R. E., McLaughlin, D., Auther, A. M., Olsen, R. H., Correll, C. U., & Cornblatt, B. A. (2015) · Psychological Medicine · doi:10.1017/s0033291715001233 · Cited by 45
Self-citationdel Re, E. C., Stone, W. S., Sylvain Bouix, A., Seitz, J., Zeng, V., Guliano, A., Somes, N., Zhang, T., Reid, B. E., Lyall, A. E., et al. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa127 · Cited by 45
Self-citationBringing Imaging Biomarkers Into Clinical Reality in Psychiatry
Etkin, A., & Mathalon, D. H. (2024) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2024.2553 · Cited by 46
Self-citationPrenatal inflammation and risk for schizophrenia: A role for immune proteins in neurodevelopment
Allswede, D. M., & Cannon, T. D. (2018) · Development and Psychopathology · doi:10.1017/s0954579418000317 · Cited by 46
Self-citationGoetzl, E. J., Srihari, V. H., Gülöksüz, S., Ferrara, M., Tek, C., & Heninger, G. R. (2021) · The FASEB Journal · doi:10.1096/fj.202002519r · Cited by 45
Peripheral complement is increased in schizophrenia and inversely related to cortical thickness
Ji, E., Boerrigter, D., Cai, H. Q., Lloyd, D., Bruggemann, J. M., O׳Donnell, M., Galletly, C. A., Lloyd, A. R., Liu, D., Lenroot, R., et al. (2021) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2021.11.014 · Cited by 44
Worthington, M., & Cannon, T. D. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.770774 · Cited by 47
Self-citationSerum immune markers and transition to psychosis in individuals at clinical high risk
Mondelli, V., Blackman, G., Kempton, M. J., Pollak, T. A., Iyegbe, C. O., Valmaggia, L., Amminger, G. P., Neus Barrantes-vidal, A., Bressan, R. A., van der Gaag, M., et al. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.03.014 · Cited by 44
Jalbrzikowski, M., Murty, V. P., Tervo‐Clemmens, B., Foran, W., & Luna, B. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.18040443 · Cited by 41
Tang, Y., Pasternak, O., Kubicki, M. R., Yogesh Rathi, A., Zhang, T., Wang, J., Li, H., Woodberry, K. A., Xu, L., Qian, Z., et al. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.18091044 · Cited by 42
Self-citationMarkers of Psychosis Risk in the General Population
Taylor, J. H., Calkins, M. E., & Gur, R. E. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.02.002 · Cited by 46
Psychosis spectrum illnesses as disorders of prefrontal critical period plasticity
Vinogradov, S., Chafee, M. V., Lee, E. G., & Morishita, H. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-022-01451-w · Cited by 44
Westacott, L. J., & Wilkinson, L. S. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.840266 · Cited by 48
Biase, M. A. D., Karayumak, S. C., Lyall, A. E., Zalesky, A., Cho, K. I. K., Zhang, F., Kubicki, M. R., Yogesh Rathi, A., Lyons, M., Sylvain Bouix, A., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01128-8 · Cited by 43
Self-citationRomeo, Z., & Spironelli, C. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103241 · Cited by 41
Thalamocortical Development: A Neurodevelopmental Framework for Schizophrenia
Benoit, L., Canetta, S., & Kellendonk, C. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.03.004 · Cited by 47
New clues for the role of cerebellum in schizophrenia and the associated cognitive impairment
Faris, P. S., Pischedda, D., Palesi, F., & D'Angelo, E. U. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1386583 · Cited by 45
Microglia, complement and schizophrenia
Wang, M., Zhang, L., & Gage, F. H. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0343-1 · Cited by 42
Mäntylä, T. J. S., Mantere, O., Raij, T. T., Kieseppä, T., Laitinen, H. K., Leiviskä, J., Torniainen, M., Tuominen, L. J., Vaarala, O., & Suvisaari, J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125112 · Cited by 42
Cognitive intervention in early psychosis — preserving abilities versus remediating deficits
Pantelis, C., Wannan, C., Bartholomeusz, C. F., Allott, K., & McGorry, P. D. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.02.008 · Cited by 42
Neuroadaptations to antipsychotic drugs: Insights from pre-clinical and human post-mortem studies
Amato, D., Beasley, C. L., Hahn, M., & Vernon, A. C. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.10.004 · Cited by 41
Brain structure in women at risk of postpartum psychosis: an MRI study
Fusté, M., Pauls, A. M., Worker, A., Reinders, A. A. T. S., Simmons, A., Williams, S., Haro, J. M., Hazelgrove, K., Pawlby, S. J., Conroy, S., et al. (2017) · Translational Psychiatry · doi:10.1038/s41398-017-0003-8 · Cited by 41
Woods, S. W., Bearden, C. E., Sabb, F. W., Stone, W. S., Torous, J. B., Cornblatt, B. A., Perkins, D. O., Cadenhead, K. S., Addington, J., Powers, A. R., et al. (2020) · Schizophrenia Research · doi:10.1016/j.schres.2020.04.020 · Cited by 41
Self-citationKirschner, M., Schmidt, A., Hodzic-Santor, B. H., Burrer, A., Manoliu, A., Zeighami, Y., Yau, Y. H. C., Abbasi, N., Maatz, A., Habermeyer, B., et al. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa169 · Cited by 40
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Allen, P., Moore, H., Corcoran, C., Gilleen, J., Kozhuharova, P., Reichenberg, A., & Malaspina, D. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00298 · Cited by 35
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Ramanathan, S., Mattiaccio, L. M., Coman, I. L., Botti, J.-A. C., Fremont, W. P., Faraone, S. V., Antshel, K. M., & Kates, W. R. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.11.041 · Cited by 39
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Self-citationCan neuroimaging be used to predict the onset of psychosis?
McGuire, P. K., Sato, J. R., Mechelli, A., Jackowski, A. P., Bressan, R. A., & Zugman, A. (2015) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00308-9 · Cited by 35
Ogawa, F., Murphy, L. C., Malavasi, E. L. V., O’Sullivan, S. T., Torrance, H. S., Porteous, D. J., & Millar, J. K. (2016) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.5b00255 · Cited by 35
Metadata
- Authors
- Cannon, T. D., Chung, Y., He, G., Sun, D., Jacobson, A., van Erp, T. G. M., McEwen, S., Addington, J., Bearden, C. E., Cadenhead, K., Cornblatt, B., Mathalon, D. H., McGlashan, T., Perkins, D., Jeffries, C., Seidman, L. J., Tsuang, M., Walker, E., Woods, S. W., & Heinssen, R.
- Affiliations
- Yale University (US)
- University of California, Los Angeles (US)
- University of California, Irvine (US)
- University of Calgary (CA)
- University of California San Diego (US)
- Zucker Hillside Hospital (US)
- University of California, San Francisco (US)
- University of North Carolina at Chapel Hill (US)
- Beth Israel Deaconess Medical Center (US)
- Emory University (US)
- National Institute of Mental Health (US)
- Corresponding author
- Cannon, Tyrone D.
- ORCID
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2015-01
- Volume
- 77
- Issue
- 2
- Pages
- 147-157
- ISSN
- 0006-3223 (ISSN-L)
- PMC
- PMC4264996
- OpenAlex
- W2166663076
- Cited by
- 599
- References
- 63
- Citations by year
- 2026: 28 · 2025: 28 · 2024: 38 · 2023: 49 · 2022: 44 · 2021: 73 · 2020: 73 · 2019: 78 · 2018: 38 · 2017: 43 · 2016: 54 · 2015: 44
- FWCI
- 37.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Commonwealth of Massachusetts
- National Institute of Mental Health
- National Institutes of Health (MH081902, MH066160, MH081928, MH081857, MH082004, P50 MH080272, MH081988, P50 MH066286, MH082022, MH081984)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- clinical high risk for psychosis, transition to psychosis, cortical thickness, gray matter loss, schizophrenia pathophysiology, inflammatory cytokines, frontal cortex, prodromal symptoms, youth
- MeSH terms
- Adolescent, Cerebral Cortex, Female, Follow-Up Studies, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Organ Size, Psychotic Disorders, Risk, Antipsychotic Agents, Reproducibility of Results, Cytokines, Disease Progression, Young Adult, Prodromal Symptoms
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