The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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 501–600 of 600
Bartholomeusz, C. F., & Pantelis, C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139839518.006 · Cited by 1
Strucutural brain imaging at the onset of schizophrenia:What have we learned and what have we missed
Peri, L. M. D., Deste, G., & Vita, A. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.113962 · Cited by 2
Prasad, K. M. R. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2021.07.007 · Cited by 1
Psychopharmacological Approaches, Cognitive Enhancement, and Brain Stimulation
Keshavan, M. S., & Eack, S. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.009 · Cited by 1
63 congreso Nacional de la Asociación Española de Psiquiatría del Niño y del Adolescente
Aepnya, R. (2019) · Revista de Psiquiatría Infanto-Juvenil · doi:10.31766/revpsij.v36n2 · Cited by 1
Vlasova, R., Iosif, A., Ryan, A. M., Murai, T., Lesh, T. A., Rowland, D. J., Bennett, J., Hogrefe, C. E., Maddock, R. J., Gandal, M. J., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.07.02.185363 · Cited by 1
Park, J., Cho, M.-J., Lee, E., Kim, B., Kim, G., Joo, Y. Y., & Cha, J. (2023) · medRxiv · doi:10.1101/2023.04.30.23289335 · Cited by 1
Cha, J., Park, J., Cho, M., Lee, E., Kim, B., Kim, G., & Joo, Y. Y. (2024) · Research Square · doi:10.21203/rs.3.rs-3931461/v1 · Cited by 1
Karcher, N. R., Dong, F., Johnson, E. C., Paul, S. E., Kilçiksiz, C. M., Oh, H. Y., Schiffman, J. E., Arpana Agrawal, A., Bogdan, R., Jackson, J. J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.20.633817 · Cited by 1
Understanding the human model of schizophrenia: Drug-induced psychoses
Murray, R. M., & Forti, M. D. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.09.066
Lincoln, S. H. (2015) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Innate Immune Response and Psychotic Disorders
Suvisaari, J., & Mantere, O. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-801968-9.00007-6
Finuf, C. (2015) · ScholarsArchive (Brigham Young University)
Structural and Functional MRI in the Prediction of Psychosis
Dwyer, D., & McGuire, P. (2016) · Key issues in mental health (Online)/Key issues in mental health (Print) · doi:10.1159/000440916 · Cited by 1
Arango, C., & Serrano-Drozdowskyj, E. (2016)
Neuroinflammation and psychosis; antipsychotic medication.
Bloomfield, P. S. (2015) · Spiral (Imperial College London) · doi:10.25560/39588
PET studies on the immune cell marker TSPO in first episode psychosis patients
Collste, K. (2017) · Figshare
Increased microglial synapse elimination in patient-specific models of schizophreniaPreprint
Sellgren, C. M., Gracias, J., Watmuff, B., Goold, C. P., Thanos, J. M., Fu, T., Karmacharya, R., Brown, H. E., Wang, J. P., Sheridan, S. D., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/231290
Schizotypy: Consideration of neurological soft signs, language and affective factors
de Leede‐Smith, S. (2017) · Research Online (University of Wollongong)
Research Perspectives for Neuroimaging of Schizophrenia Spectrum Disorders
Scutt, E., Borgwardt, S., & Fusar‐Poli, P. (2019) · Springer eBooks · doi:10.1007/978-3-319-97307-4_8
S.27.01 Predicting psychosis in patients with prodromal symptoms: The NAPLS study
Cannon, T. D. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2018.11.969
Self-citationNeuroimaging and Antipsychotics
Vita, A., Schlagenhauf, F., Barlati, S., & Heinz, A. (2019) · Springer eBooks · doi:10.1007/978-3-319-97307-4_7
Mitchell, L. (2018) · Enlighten: Theses (The University of Glasgow)
Kinon, B. J. (2019) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-803161-2.00008-4
Walsh, B. C., Woods, S. W., & Powers, A. R. (2019) · Springer eBooks · doi:10.1007/978-3-030-17336-4_21
Self-citationEarly Childhood Brain Development and Schizophrenia: An Imaging Perspective
Gilmore, J. H. (2020) · Springer eBooks · doi:10.1007/978-3-030-35206-6_15
Sandini, C., Eliez, S., Schneider, M., & Armando, M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-813201-2.00008-9
At‐risk mental stateにおける脳形態変化：多施設共同研究
Sasabayashi, D., Takayanagi, Y., 努, 高., & 道雄, 鈴. (2020) · doi:10.11249/jsbpjjpp.31.1_6
Fortea, A., van Eijndhoven, P., Pariente, J. C., Batalla, A., Masias, M., de la Serna, E., Tor, J., Dolz, M., Baeza, I., & Sugranyes, G. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2019.09.814
Arnsten, A. F. T. (2020) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190069162.013.4
Guest Editorial: Special issue on “Biomarkers in the attenuated psychosis syndrome”
Cadenhead, K. S., & Stone, W. S. (2020) · Schizophrenia Research · doi:10.1016/j.schres.2020.11.035
Self-citationComputer-based Approaches to Cognitive Enhancement
Keshavan, M. S., & Eack, S. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.007
Cognition and Its Impairment in Schizophrenia and Related Psychotic Disorders
Keshavan, M. S., & Eack, S. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.003
Snapshot of Schizophrenia: Current Knowledge and Prospects
Gao, R. (2021) · E3S Web of Conferences · doi:10.1051/e3sconf/202127103004
Who Responds Best? Predictors and Moderators of Cognitive Enhancement
Keshavan, M. S., & Eack, S. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.010
Individual and Group Approaches to Cognitive Enhancement
Keshavan, M. S., & Eack, S. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.008
Testable Hypotheses Relating Complement Pathways to Elevated Risk for Schizophrenia
McClain, L. L., Demers, M., Zheng, W., Wesesky, M. A., Wood, J. A., D’Aiuto, L., Prasad, K., & Nimgaonkar, V. L. (2021) · Springer eBooks · doi:10.1007/978-3-030-71229-7_11
Research in Cognitive Enhancement
Keshavan, M. S., & Eack, S. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.013
Costantino, M., Bussy, A., Pigeau, G., Blostein, N., Devenyi, G. A., Markello, R. D., Patel, R., Gervais, N. J., & Chakravarty, M. M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.14.464259
作用素としての大内の解 : 非正則度条件の必要性(超局所解析と大域解析)
小松, 彦. (1985) · Institutional Repositories DataBase (IRDB)
Kovács, I. (2021) · Language, cognition and mind · doi:10.1007/978-3-030-66175-5_18
Karcher, N. R. (2022) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2021.11.001
Approaches to Assessment and Monitoring Treatment Response
Keshavan, M. S., & Eack, S. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.012
Choosing the Right Treatment for the Right Patient
Keshavan, M. S., & Eack, S. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.011
Getting Ready for Cognitive Enhancement
Keshavan, M. S., & Eack, S. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.006
Keshavan, M. S., & Eack, S. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.005
Keshavan, M. S., & Eack, S. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.014
Dame, T. W. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.001
(2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.015
Keshavan, M. S., & Eack, S. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.002
Frissen, A. (2016) · Research Publications (Maastricht University) · doi:10.26481/dis.20161221af
The genetics of personality/psychopathology:
Bouchard, T. J., Johnson, W., & Gottesman, I. I. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780198793014.003.0019 · Cited by 1
Smith, M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821913-3.00001-9
Einflussfaktoren in der Jugend
(2019) · V&R unipress eBooks · doi:10.14220/9783737010269.153
Keshavan, M. S., & Eack, S. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108163682.016
Buckley, P. F. (2015) · Clinical Schizophrenia & Related Psychoses · doi:10.3371/csrp.bu.041215
Zhao, S., Cao, Y., Kratochvil, Z., Liu, X., Fan, J.-W., Gu, Y.-W., Wang, X.-Y., Fu, Y.-F., Chang, X., Wu, X., et al. (2022) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2105139
Chromosome 22 mutations leave telltale marks on brain development in autistic people
Askham, A. V. (2022) · The Transmitter · doi:10.53053/szbq7071
Editorial: New Clues Into Cortical Changes That Converge on Psychosis
Bearden, C. E. (2023) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2023.02.003
Self-citationLabusga, M. (2023) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-9734
Zak, N., Moberget, T., Bøen, E., Boye, B., Rygvold, T. W., Malt, U. F., Andreassen, O. A., Andersson, S., Westlye, L. T., & Elvsåshagen, T. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.16038
Koike, S., Zhu, Y., Maikusa, N., Raduà, J., Sämann, P. G., & Fusar‐Poli, P. (2023) · Research Square · doi:10.21203/rs.3.rs-3267539/v1
Plitman, E., Bussy, A., Valiquette, V., Salaciak, A., Patel, R., Cupo, L., Béland, M., Tullo, S., Tardif, C. L., Rajah, M. N., et al. (2023) · doi:10.32920/24438061
Plitman, E., Bussy, A., Valiquette, V., Salaciak, A., Patel, R., Cupo, L., Béland, M., Tullo, S., Tardif, C. L., Rajah, M. N., et al. (2023) · doi:10.32920/24438061.v1
In the afterglow: Immune dysfunction in schizophrenia spectrum disorders
Gangadin, S. S. (2024) · doi:10.33612/diss.939086872
Roles of complement system in psychiatric disorders.
Huo, Y., Chen, J., Zhang, A., Zhou, C., & Cao, W. (2023) · PubMed Central · doi:10.11817/j.issn.1672-7347.2023.230109
Macro- and Micro-Structural Alterations in the Midbrain in Early PsychosisPreprint
Zhou, Z., Jones, K., Ivleva, E. I., & Colón-Pérez, L. M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.10.588901
Reduced Visual Scanpath Affects Inferential Reasoning Task in SchizophreniaPreprint
Gadelha, A. L. D. C., Coutinho, L., Morelli-Calixto, R., Ziebold, C., Sato, J. R., & Gadelha, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4809019
The circuit mechanisms of working memory: Key roles of the dorsolateral prefrontal cortex
Arnsten, A. F. T., & Martínez-Trujillo, J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15754-7.00038-9
Neurobiology of Mental Disorders
Horn, K., Barrera, A., Haseeb, A., & Machado‐Vieira, R. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009334730.007
Zhou, Z., Jones, K., Ivleva, E. I., & Colón-Pérez, L. M. (2025) · eNeuro · doi:10.1523/eneuro.0361-24.2025
Slezák, O., Škoch, A., Žižka, J., Bayer, D., Španiel, F., Tintěra, J., Vaňásek, J., Eliáš, P., & Ryška, P. (2020) · Česká radiologie · doi:10.55095/cesradiol2020/040
Hill-Bowen, L. D., Zhang, X.-H., Rogers, B. P., Huang, A., Fox, V., Feola, B., Heckers, S., Holmes, A. J., & Woodward, N. D. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03774-2
Hernandez, L. M., Kim, M., Zhang, P., Bethlehem, R. A. I., Hoftman, G. D., Loughnan, R. J., Smith, D., Bookheimer, S. Y., Fan, C. C., Bearden, C. E., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26573428
Self-citationHusain, M. O., Jones, B. D. M., Arshad, U., Ameis, S. H., Mirfallah, G., Schifani, C., Rodak, T., Aiken, M., Shafique, M., Ahmed, F., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26066220
Husain, M. O., Jones, B., Arshad, U., Ameis, S. H., Mirfallah, G., Schifani, C., Rodak, T., Aiken, M., Shafique, M., Ahmed, F., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26736453
Husain, M. O., Jones, B., Arshad, U., Ameis, S. H., Mirfallah, G., Schifani, C., Rodak, T., Aiken, M., Shafique, M., Ahmed, F., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26066140
Hernandez, L. M., Kim, M., Zhang, P., Bethlehem, R. A. I., Hoftman, G. D., Loughnan, R. J., Smith, D., Bookheimer, S. Y., Fan, C. C., Bearden, C. E., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26573431
Self-citationHernandez, L. M., Kim, M., Zhang, P., Bethlehem, R. A. I., Hoftman, G. D., Loughnan, R. J., Smith, D., Bookheimer, S. Y., Fan, C. C., Bearden, C. E., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26573434
Self-citationGuest, R. M., Addington, J., Bearden, C. E., Cadenhead, K. S., Cornblatt, B. A., Mathalon, D. H., Perkins, D. O., Tsuang, M. T., Woods, S. W., Cannon, T. D., et al. (2026) · Schizophrenia Research · doi:10.1016/j.schres.2026.02.004
Self-citationWang, S., Zhao, K., Li, Z., Shi, P., Deng, Y., Qing, L., Yang, Y., Wang, C., Li, J., Li, Y., et al. (2026) · Neuroscience · doi:10.1016/j.neuroscience.2026.02.034 · Cited by 1
Mamah, D. T., Chen, S., Dong, F., Harms, M. P., Curtis, M., & Anokhin, A. P. (2026) · Brain Imaging and Behavior · doi:10.1007/s11682-026-01103-3
Zheng, W., Zhang, L., Xu, L., Wei, Y., Cui, H., Zhang, D., Hong, Y., Zhao, J., Liu, S., Zhang, T., et al. (2026) · Psychological Medicine · doi:10.1017/s0033291726103250
Peripheral complement C3 and C4 are associated with clinical features of schizophrenia
Szwajca, M., Śmierciak, N., Biesaga, B., Donicz, P., Szwajca, K., & Pilecki, M. W. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1767438 · Cited by 1
Ku, B. S., Arrant, E. J., Yuan, Q. E., Aberizk, K., Addington, J., Bearden, C. E., Cadenhead, K. S., Cannon, T. D., Carrión, R. E., Keshavan, M. S., et al. (2026) · Schizophrenia Research · doi:10.1016/j.schres.2026.03.024
Self-citationJeffries, C. D., Bizon, C., Ford, J. R., Addington, J., Bearden, C. E., Cadenhead, K. S., Cannon, T. D., Cornblatt, B. A., Keshavan, M. S., Mathalon, D. H., et al. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-03934-6
Self-citationAlder, E., Among, K., Olexa, C., Hoskinson, K. R., Mattson, W. I., Nelson, E. E., & Yilanli, M. (2026) · JAACAP Open · doi:10.1016/j.jaacop.2026.04.004
Cassol, G., Souza, M. A., & Fiorin, F. D. S. (2026) · Brain Research · doi:10.1016/j.brainres.2026.150344
Qi, Y., Hsu, E., Lee, S., Luo, S., & Zhu, X. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.25.727436
Microscopic connectome-based disease epicenter diffusion patterns in early-onset schizophreniaPreprint
Chen, H., Fan, Y., Jing, W., Xu, Y. J., Liu, L., Ye, M., Yang, M., & Guo, J. (2026) · Research Square · doi:10.21203/rs.3.rs-9639337/v1
Forrer, S., Delavari, F., Sandini, C., Ville, D. V. D., & Eliez, S. (2026) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2026.100768
Saito, Y., Syeda, W. T., Gurleyen, Y., Rapado‐Castro, M., Biase, M. A. D., Wannan, C., Mito, R., & Pantelis, C. (2026) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2026.05.015
Time to reconsider risk for psychosis?
Kaiser, S., & Kirschner, M. (2026) · Brain · doi:10.1093/brain/awag230
Dissecting first-episode psychosis heterogeneity with clustering analyses: A systematic review
Sperti, L., Pigoni, A., Nosari, G., Enrico, G., Torrente, Y., Brambilla, P., & Delvecchio, G. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106836
Synchrony between brain age and internalising and externalising symptoms across adolescence
Beck, D., Carrick, C., Aksnes, E. R., MacSweeney, N., Westlye, L. T., Fuhrmann, D., & Tamnes, C. K. (2026) · Communications Biology · doi:10.1038/s42003-026-10722-x
Ranganathan, M., Jakob, S., Cerrato, F. E., Spillane, L. U., Daryoush, T., Shuster, S., Dokholyan, K., Herrera, S. N., Koo, B. B., Markowitz, C., et al. (2026) · Schizophrenia Bulletin · doi:10.1093/schbul/sbag113
Reduced visual scanpath is associated with inferential reasoning task in schizophrenia
Gadelha, A. L. D. C., Coutinho, L., Morelli-Calixto, R., Ziebold, C., de Figueiredo, V. M. E. S., Abduch, F., Sato, J. R., & Gadelha, A. (2026) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2026.09.025
Vasiliu, O., Marinescu, I. P., Mangalagiu, A. G., Petrescu, B. M., & Ciobanu, A. M. (2026) · Journal of Clinical Medicine · doi:10.3390/jcm15207955
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
