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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
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Yoon, J. H., Zhang, Z., Mormino, E. C., Davidzon, G., Minzenberg, M., Ballon, J. S., Kalinowski, A., Hardy, K. V., Naganawa, M., Carson, R. E., et al. (2023) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2023.02.026 · Cited by 36
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Millman, Z. B., Gold, J. M., Mittal, V. A., & Schiffman, J. (2019) · Clinical Psychological Science · doi:10.1177/2167702619855660 · Cited by 33
Zhu, Y., Maikusa, N., Raduà, J., Sämann, P. G., Fusar‐Poli, P., Agartz, I., Andreassen, O. A., Bachman, P., Baeza, I., Chen, X., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02426-7 · Cited by 37
Self-citationReduced cortical thickness and increased surface area in antisocial personality disorder
Jiang, W., Li, G., Liu, H., Shi, F., Wang, T., Shen, C., Shen, H., Lee, S., Hu, D., Wang, W., et al. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.08.052 · Cited by 36
Ben‐Azu, B., del Re, E. C., VanderZwaag, J., Carrier, M., Keshavan, M. S., Khakpour, M., & Tremblay, M. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1139357 · Cited by 32
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Dukart, J., Smieskova, R., Harrisberger, F., Lenz, C., Schmidt, A., Walter, A., Huber, C. G., Riecher‐Rössler, A., Simon, A. E., Lang, U. E., et al. (2017) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.160179 · Cited by 32
Bandeira, I. D., Barouh, J. L., Dorea-Bandeira, I., & Quarantini, L. C. (2020) · CNS Spectrums · doi:10.1017/s1092852919001810 · Cited by 32
Abnormal microglial reactivity in gray matter of the prefrontal cortex in schizophrenia
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Bodén, R., Persson, J., Wall, A., Lubberink, M., Ekselius, L., Larsson, E.-M., & Antoni, G. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.11 · Cited by 32
Modinos, G., Egerton, A., McMullen, K., McLaughlin, A. P., Kumari, V., Barker, G. J., Williams, S., & Zelaya, F. O. (2018) · Human Brain Mapping · doi:10.1002/hbm.24231 · Cited by 31
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Emsley, R. A., du Plessis, S. S., Phahladira, L., Luckhoff, H. K., Scheffler, F., Kilian, S., Smit, R., Buckle, C., Chiliza, B., & Asmal, L. (2021) · Psychological Medicine · doi:10.1017/s0033291721003809 · Cited by 31
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Amico, F., O’Hanlon, E., Kraft, D., Oertel‐Knöchel, V., Clarke, M. C., Kelleher, I., Higgins, N. M., Coughlan, H., Creegan, D., Heneghan, M., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0169364 · Cited by 30
Minichino, A., Ando, A. M. C., Francesconi, M., Salatino, A., Chiaie, R. D., & Cadenhead, K. S. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.03.020 · Cited by 32
Self-citationLong-Term Grey Matter Changes in First Episode Psychosis: A Systematic Review
Gallardo-Ruiz, R., Crespo‐Facorro, B., Setién‐Suero, E., & Tordesillas‐Gutiérrez, D. (2019) · Psychiatry Investigation · doi:10.30773/pi.2019.02.10.1 · Cited by 36
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Jalbrzikowski, M., Freedman, D., Hegarty, C. E., Mennigen, E., Karlsgodt, K. H., Loohuis, L. M. O., Ophoff, R. A., Gur, R. E., & Bearden, C. E. (2019) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2018.11.012 · Cited by 32
Self-citationJirsaraie, R. J., Kaczkurkin, A. N., Rush, S., Piiwia, K., Adebimpe, A., Bassett, D. S., Bourque, J., Calkins, M. E., Cieslak, M., Ćirić, R., et al. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0508-3 · Cited by 31
Miller, B. J., Herzig, K., Jokelainen, J. J., Karhu, T., Keinanen-Kiukaanniemi, S. M., Järvelin, M., Veijola, J. M., Viinamäki, H. T., Tanskanen, P., Jääskeläinen, E., et al. (2020) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-020-01134-x · Cited by 31
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Sheridan, S. D., Horng, J. E., & Perlis, R. H. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.01.004 · Cited by 30
Takayanagi, Y., Kulason, S., Sasabayashi, D., Takahashi, T., Katagiri, N., Sakuma, A., Obara, C., Nakamura, M., Kido, M., Furuichi, A., et al. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbw167 · Cited by 31
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Goldsmith, D. R., Crooks, C. L., Walker, E. F., & Cotes, R. O. (2018) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.20170046 · Cited by 32
Self-citationKraguljac, N. V., Anthony, T., Skidmore, F. M., Marstrander, J., Morgan, C. J., Reid, M. A., White, D. M., Jindal, R. D., Skefos, N. H. M., & Lahti, A. C. (2019) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.01.002 · Cited by 30
Subcortical Brain Volume Abnormalities in Individuals With an At-risk Mental State
Sasabayashi, D., Takayanagi, Y., Takahashi, T., Katagiri, N., Sakuma, A., Obara, C., Katsura, M., Okada, N., Koike, S., Yamasue, H., et al. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa011 · Cited by 31
Ibarra‐Lecue, I., Dı́ez-Alarcia, R., Morentín, B., Meana, J. J., Callado, L. F., & Urigüen, L. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00344 · Cited by 29
Akudjedu, T. N., Tronchin, G., McInerney, S. J., Scanlon, C., Kenney, J. P. M., Mcfarland, J. W., Barker, G. J., McCarthy, P., Cannon, D. M., McDonald, C., et al. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.07.034 · Cited by 30
Sugranyes, G., de la Serna, E., Ilzarbe, D., Pariente, J. C., Borràs, R., Romero, S., Rosa, M., Baeza, I., Moreno, M., Bernardo, M., et al. (2020) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13321 · Cited by 30
Millman, Z. B., Roemer, C., Vargas, T., Schiffman, J. E., Mittal, V. A., & Gold, J. M. (2022) · Schizophrenia Bulletin · doi:10.1093/schbul/sbac031 · Cited by 31
Yun, J., Kim, S. N., Lee, T. Y., Chon, M., & Kwon, J. S. (2015) · Human Brain Mapping · doi:10.1002/hbm.23083 · Cited by 29
Deane, C., Vijayakumar, N., Allen, N. B., Schwartz, O., Simmons, J. G., Bousman, C., Pantelis, C., & Whittle, S. (2019) · Development and Psychopathology · doi:10.1017/s0954579418001475 · Cited by 29
Le, B. D., & Stein, J. L. (2019) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12839 · Cited by 30
Preserved, deteriorated, and premorbidly impaired patterns of intellectual ability in schizophrenia.
Ammari, N., Heinrichs, R. W., Pinnock, F., Miles, A. A., Muharib, E., & Vaz, S. M. (2014) · Neuropsychology · doi:10.1037/neu0000026 · Cited by 27
Sasabayashi, D., Takayanagi, Y., Takahashi, T., Nishiyama, S., Mizukami, Y., Katagiri, N., Tsujino, N., Nemoto, T., Sakuma, A., Katsura, M., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01516-2 · Cited by 28
Chung, Y., Jacobson, A., 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. (2015) · Complex Psychiatry · doi:10.1159/000371887 · Cited by 28
Self-citationNeuroanatomical changes in people with high schizotypy: relationship to glutamate levels
Modinos, G., Egerton, A., McLaughlin, A. P., McMullen, K., Kumari, V., Lythgoe, D. J., Barker, G. J., Aleman, A., & Williams, S. (2017) · Psychological Medicine · doi:10.1017/s0033291717003403 · Cited by 30
From genetics to physiology at last
Dhindsa, R. S., & Goldstein, D. B. (2016) · Nature · doi:10.1038/nature16874 · Cited by 27
Autoimmune Aspects of Neurodegenerative and Psychiatric Diseases: A Template for Innovative Therapy
de Haan, P., Klein, H. C., & Hart, B. A. ‘. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00046 · Cited by 27
D'Ambrosio, E., Jauhar, S., Kim, S., Veronese, M., Rogdaki, M., Pepper, F., Bonoldi, I., Kotoula, V., Kempton, M., Turkheimer, F., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0570-6 · Cited by 29
Ellis, J. K., Walker, E. F., & Goldsmith, D. R. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.567534 · Cited by 29
Self-citationFortea, A., Batalla, A., Raduà, J., van Eijndhoven, P., Baeza, I., Albajes‐Eizagirre, A., Fusar‐Poli, P., Castro‐Fornieles, J., de la Serna, E., Luna, L., et al. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2021.05.008 · Cited by 27
Jalbrzikowski, M., Lin, A., Vajdi, A., Grigoryan, V., Kushan, L., Ching, C. R. K., Schleifer, C. H., Hayes, R. A., Chu, S. A., Sugar, C. A., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01681-w · Cited by 28
Self-citationScientific Rationale for the Treatment of Cognitive Deficits from Long COVID
Zadeh, A. F., Arnsten, A. F. T., & Wang, M. (2023) · Neurology International · doi:10.3390/neurolint15020045 · Cited by 27
Gonzalez–Heydrich, J., Enlow, M. B., D’Angelo, E. J., Seidman, L. J., Gumlak, S., Kim, A., Woodberry, K. A., Rober, A., Tembulkar, S. K., Graber, K. M., et al. (2015) · Schizophrenia Research · doi:10.1016/j.schres.2015.10.037 · Cited by 27
Self-citationBlair, M. A., Nitzburg, G. C., DeRosse, P., & Karlsgodt, K. H. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.02.026 · Cited by 30
Zhu, D., Zhang, J., Wu, J., Li, G., Yao, W., Hao, J., & Sun, J. (2015) · Molecular Neurobiology · doi:10.1007/s12035-015-9217-z · Cited by 26
Tomyshev, A. S., Лебедева, И. С., Akhadov, T. A., Omelchenko, M. A., Rumyantsev, A. O., & Kaleda, V. G. (2019) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2019.05.002 · Cited by 26
Enhancing Psychosis Risk Prediction Through Computational Cognitive Neuroscience
Gold, J. M., Corlett, P. R., Strauss, G. P., Schiffman, J. E., Ellman, L. M., Walker, E. F., Powers, A. R., Woods, S. W., Waltz, J. A., Silverstein, S. M., et al. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa091 · Cited by 25
Self-citationBrain ventricular volume changes in schizophrenia. A narrative review
Švancer, P., & Španiel, F. (2021) · Neuroscience Letters · doi:10.1016/j.neulet.2021.136065 · Cited by 29
Trajectory of change in brain complement factors from neonatal to young adult humans
Sager, R., Walker, A. K., Middleton, F. A., Robinson, K., Webster, M. J., & Weickert, C. S. (2020) · Journal of Neurochemistry · doi:10.1111/jnc.15241 · Cited by 25
MacNeill, L. A., Allen, N. B., Poleon, R. B., Vargas, T., Osborne, K. J., Damme, K. S. F., Barch, D. M., Krogh‐Jespersen, S., Nielsen, A. N., Norton, E. S., et al. (2021) · Development and Psychopathology · doi:10.1017/s0954579421000651 · Cited by 25
Neurobiological approaches to the study of clinical and genetic high risk for developing psychosis
Niznikiewicz, M. A. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2019.02.009 · Cited by 25
CUB and Sushi Multiple Domains 1 (CSMD1) opposes the complement cascade in neural tissuesPreprint
Baum, M. L., Wilton, D. K., Muthukumar, A. K., Fox, R. G., Carey, A. E., Crotty, W., Scott‐Hewitt, N., Bien, E., Sabatini, D. A., Lanser, T. B., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.11.291427 · Cited by 25
Li, X., Wu, K., Zhang, Y., Kong, L., Bertisch, H. C., & DeLisi, L. E. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.01.025 · Cited by 24
Laskaris, L., Mancuso, S. G., Weickert, C. S., Zalesky, A., Chana, G., Wannan, C., Bousman, C., Baune, B. T., McGorry, P. D., Pantelis, C., et al. (2021) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2021.04.002 · Cited by 24
Genetically Predicted Brain C4A Expression Is Associated With TSPO and Hippocampal Morphology
Silva, T. M. S., Guma, E., Hafizi, S., Koppel, A., Rusjan, P., Kennedy, J. L., Chakravarty, M. M., & Mizrahi, R. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.06.021 · Cited by 24
Cortical Volume Differences in Subjects at Risk for Psychosis Are Driven by Surface Area
Buechler, R., Wotruba, D., Michels, L., Theodoridou, A., Metzler, S., Walitza, S., Hänggi, J., Kollias, S., Wulf Rössler, A., & Heekeren, K. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa066 · Cited by 23
Krajner, F., Hadaya, L., McQueen, G., Sendt, K.-V., Gillespie, A. L., Avila, A., Lally, J., Hedges, E. P., Diederen, K. M. J., Howes, O. D., et al. (2022) · Schizophrenia · doi:10.1038/s41537-022-00230-2 · Cited by 24
Scott‐Hewitt, N., Huang, Y., & Stevens, B. (2023) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.15010 · Cited by 22
Xing, B., Han, G., Wang, M.-J., Snyder, M. A., & Gao, W. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.05.019 · Cited by 23
Millan, M. J., Goodwin, G. M., Hamon, M., Meyer‐Lindenberg, A., & Ögren, S. O. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.01.015 · Cited by 23
Kikinis, Z., Cho, K. I. K., Coman, I. L., Radoeva, P. D., Sylvain Bouix, A., Tang, Y., Eckbo, R., Makris, N., Kwon, J. S., Kubicki, M. R., et al. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9602-x · Cited by 22
Advances in clinical staging, early intervention, and the prevention of psychosis
Gupta, T., & Mittal, V. A. (2019) · F1000Research · doi:10.12688/f1000research.20346.1 · Cited by 22
Meta-cognition is associated with cortical thickness in youth at clinical high risk of psychosis
Buchy, L., Stowkowy, J., MacMaster, F. P., Nyman, K., & Addington, J. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2015.07.010 · Cited by 21
Self-citationDrakesmith, M., Dutt, A., Fonville, L., Zammit, S., Reichenberg, A., Evans, J., McGuire, P. K., Lewis, G., Jones, D. K., & David, A. S. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.09.002 · Cited by 21
Ventricular volumes across stages of schizophrenia and other psychoses
Berger, G. E., Bartholomeusz, C. F., Wood, S. J., Ang, A., Phillips, L., Proffitt, T., Brewer, W. J., Smith, D. J., Nelson, B., Lin, A. P., et al. (2017) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867417715914 · Cited by 22
Morimoto, C., Uematsu, A., Nakatani, H., Takano, Y., Iwashiro, N., Abe, O., Yamasue, H., Kasai, K., & Koike, S. (2021) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13277 · Cited by 20
Strauss, G. P., Bartolomeo, L. A., & Luther, L. (2021) · Psychological Medicine · doi:10.1017/s003329172100204x · Cited by 24
Theory of Mind Impairments in Youth at Clinical High Risk of Psychosis
Zhang, T., Tang, Y., Cui, H., Lu, X., Xu, L., Liu, X., Li, H., Chow, A., Du, Y., Li, C., et al. (2016) · Psychiatry · doi:10.1080/00332747.2015.1123592 · Cited by 21
Wang, C., Lee, J., Ho, N. F., Lim, J. K. W., Poh, J. S., Rekhi, G., Krishnan, R. K. R., Keefe, R. S. E., Adcock, R. A., Wood, S. J., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx278 · Cited by 21
Fonville, L., Drakesmith, M., Zammit, S., Lewis, G., Jones, D. K., & David, A. S. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx195 · Cited by 21
Nakamura, M., Takahashi, T., Takayanagi, Y., Sasabayashi, D., Katagiri, N., Sakuma, A., Obara, C., Koike, S., Yamasue, H., Furuichi, A., et al. (2018) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-018-0890-6 · Cited by 21
Anda, L. G., Brønnick, K. K., Johannessen, J. O., Joa, I., Kroken, R. A., Johnsen, E., Rettenbacher, M. A., Fathian, F., & Løberg, E. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00695 · Cited by 22
Imaging-Based Subtyping for Psychiatric Syndromes
Ivleva, E. I., Türközer, H. B., & Sweeney, J. A. (2019) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2019.09.005 · Cited by 21
Neurodevelopmental insights into circuit dysconnectivity in schizophrenia
Nath, M., Wong, T. P., & Srivastava, L. K. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110047 · Cited by 24
Bagautdinova, J., Zöller, D., Schaer, M., Padula, M. C., Mancini, V., Schneider, M., & Eliez, S. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01209-8 · Cited by 22
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Alozie, E. (2015) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9781608059768115010014 · Cited by 26
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Cullen, A. E., Labad, J., Oliver, D., Al‐Diwani, A., Minichino, A., & Fusar‐Poli, P. (2023) · Current Neuropharmacology · doi:10.2174/1570159x21666230322145049 · Cited by 25
Thermenos, H. W., Juelich, R. J., DiChiara, S. R., Mesholam‐Gately, R. I., Woodberry, K. A., Wojcik, J., Makris, N., Keshavan, M. S., Whitfield, S., Woo, T.-U. W., et al. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.02.023 · Cited by 21
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Hanford, L. C., Pinnock, F., Hall, G. B., & Heinrichs, R. W. (2019) · Brain and Cognition · doi:10.1016/j.bandc.2019.04.003 · Cited by 19
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Hoang, D. T., Lizano, P. L., Lutz, O., Zeng, V., Raymond, N., Miewald, J. M., Montrose, D., & Keshavan, M. S. (2021) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2021.111249 · Cited by 19
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Hinney, B., Walter, A., Aghlmandi, S., Andreou, C., & Borgwardt, S. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.614659 · Cited by 19
Tournier, M., Pambrun, É., Maumus‐Robert, S., Pariente, A., & Verdoux, H. (2021) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13380 · Cited by 18
Ansarey, S. H. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.771144 · Cited by 21
McEwen, S. C., Jarrahi, B., Ventura, J., Subotnik, K. L., Nguyen, J., Woo, S. M., & Nuechterlein, K. H. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2022.12.001 · Cited by 18
Self-citation
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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