Tyrone D. Cannon
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Tyrone D. Cannon has a total of 134 co-authors. Here are the top co-authors by number of shared publications:
- Jaakko Kaprio
Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
8 shared publications - Carrie E. Bearden
Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
7 shared publications - Paul Thompson
Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, California, USA
7 shared publications Arthur W. Toga
6 shared publicationsMatti Huttunen
National Public Health Institute
5 shared publicationsTheo G. M. van Erp
UCLA
5 shared publications
Latest Publications
- 1 April 2012
- Published by American Psychiatric Association Publishing in American Journal of Psychiatry
- Vol. 169 (4) , 345-347
Community Reforms to Reduce Severity, Chronicity, and Disability of Psychosis: Do They Work?
- 1 April 2012
- Published by American Psychiatric Association Publishing in American Journal of Psychiatry
- Vol. 169 (4) , 345-347
Community Reforms to Reduce Severity, Chronicity, and Disability of Psychosis: Do They Work?
- Open Access
- 18 January 2012
- Published by Springer Nature in Genome Medicine
- Vol. 4 (1) , 1-11
Phospholipids and insulin resistance in psychosis: a lipidomics study of twin pairs discordant for schizophrenia
Background: Several theories have been proposed to conceptualize the pathological processes inherent to schizophrenia. The 'prostaglandin deficiency' hypothesis postulates that defective enzyme systems converting essential fatty acids to prostaglandins lead to diminished levels of prostaglandins, which in turn affect synaptic transmission. Methods: Here we sought to determine the lipidomic profiles associated with schizophrenia in twin pairs discordant for schizophrenia as well as unaffected twin pairs. The study included serum samples from 19 twin pairs discordant for schizophrenia (mean age 51 ± 10 years; 7 monozygotic pairs; 13 female pairs) and 34 age and gender matched healthy twins as controls. Neurocognitive assessment data and gray matter density measurements taken from high-resolution magnetic resonance images were also obtained. A lipidomics platform using ultra performance liquid chromatography coupled to time-of-flight mass spectrometry was applied for the analysis of serum samples. Results: In comparison to their healthy co-twins, the patients had elevated triglycerides and were more insulin resistant. They had diminished lysophosphatidylcholine levels, which associated with decreased cognitive speed. Conclusions: Our findings may be of pathophysiological relevance since lysophosphatidylcholines, byproducts of phospholipase A2-catalyzed phospholipid hydrolysis, are preferred carriers of polyunsaturated fatty acids across the blood-brain barrier. Furthermore, diminishment of lysophosphatidylcholines suggests that subjects at risk of schizophrenia may be more susceptible to infections. Their association with cognitive speed supports the view that altered neurotransmission in schizophrenia may be in part mediated by reactive lipids such as prostaglandins.
- 18 January 2012
- Published by Springer Nature in Genome Medicine
- Vol. 4 (1) , 1-11
Open AccessPhospholipids and insulin resistance in psychosis: a lipidomics study of twin pairs discordant for schizophrenia
Background: Several theories have been proposed to conceptualize the pathological processes inherent to schizophrenia. The 'prostaglandin deficiency' hypothesis postulates that defective enzyme systems converting essential fatty acids to prostaglandins lead to diminished levels of prostaglandins, which in turn affect synaptic transmission. Methods: Here we sought to determine the lipidomic profiles associated with schizophrenia in twin pairs discordant for schizophrenia as well as unaffected twin pairs. The study included serum samples from 19 twin pairs discordant for schizophrenia (mean age 51 ± 10 years; 7 monozygotic pairs; 13 female pairs) and 34 age and gender matched healthy twins as controls. Neurocognitive assessment data and gray matter density measurements taken from high-resolution magnetic resonance images were also obtained. A lipidomics platform using ultra performance liquid chromatography coupled to time-of-flight mass spectrometry was applied for the analysis of serum samples. Results: In comparison to their healthy co-twins, the patients had elevated triglycerides and were more insulin resistant. They had diminished lysophosphatidylcholine levels, which associated with decreased cognitive speed. Conclusions: Our findings may be of pathophysiological relevance since lysophosphatidylcholines, byproducts of phospholipase A2-catalyzed phospholipid hydrolysis, are preferred carriers of polyunsaturated fatty acids across the blood-brain barrier. Furthermore, diminishment of lysophosphatidylcholines suggests that subjects at risk of schizophrenia may be more susceptible to infections. Their association with cognitive speed supports the view that altered neurotransmission in schizophrenia may be in part mediated by reactive lipids such as prostaglandins.
- 1 January 2012
- Published by Elsevier in Schizophrenia Research
- Vol. 134 (1) , 1-9
Altered age-related trajectories of amygdala-prefrontal circuitry in adolescents at clinical high risk for psychosis: A preliminary study
- 1 January 2012
- Published by Elsevier in Schizophrenia Research
- Vol. 134 (1) , 1-9
Altered age-related trajectories of amygdala-prefrontal circuitry in adolescents at clinical high risk for psychosis: A preliminary study
- Open Access
- 1 October 2011
- Published by EDITORA SCIENTIFIC in Brazilian Journal of Psychiatry
- Vol. 33 (suppl 2) , s129-s142
Prediction of conversion to psychosis: review and future directions
This article reviews recent findings on predictors of conversion to psychosis among youth deemed at ultra high risk (UHR) based on the presence of subpsychotic-intensity symptoms or genetic risk for psychosis and a recent decline in functioning. Although transition rates differ between studies, the most well powered studies have observed rates of conversion to full psychosis in the 30-40% range over 2-3 years of follow-up. Across studies, severity of subthreshold positive symptoms, poorer social functioning, and genetic risk for schizophrenia appear to be consistent predictors of conversion to psychosis, with algorithms combining these indicators achieving positive predictive power > 80%. Nevertheless, a substantial fraction of UHR cases do not convert to psychosis. Recent work indicates that UHR cases who present with lower levels of negative symptoms and higher levels of social functioning are more likely to recover symptomatically and no longer meet criteria for an at-risk mental state. In general, it appears that about 1/3 of UHR cases convert to psychosis, about 1/3 do not convert but remain symptomatic and functionally impaired, and about 1/3 recover symptomatically and functionally. Continued efforts to detect early risk for psychosis are critical for informing early intervention and provide increasing promise of delaying or even preventing the onset of psychosis.
- 1 October 2011
- Published by EDITORA SCIENTIFIC in Brazilian Journal of Psychiatry
- Vol. 33 (suppl 2) , s129-s142
Open AccessPrediction of conversion to psychosis: review and future directions
This article reviews recent findings on predictors of conversion to psychosis among youth deemed at ultra high risk (UHR) based on the presence of subpsychotic-intensity symptoms or genetic risk for psychosis and a recent decline in functioning. Although transition rates differ between studies, the most well powered studies have observed rates of conversion to full psychosis in the 30-40% range over 2-3 years of follow-up. Across studies, severity of subthreshold positive symptoms, poorer social functioning, and genetic risk for schizophrenia appear to be consistent predictors of conversion to psychosis, with algorithms combining these indicators achieving positive predictive power > 80%. Nevertheless, a substantial fraction of UHR cases do not convert to psychosis. Recent work indicates that UHR cases who present with lower levels of negative symptoms and higher levels of social functioning are more likely to recover symptomatically and no longer meet criteria for an at-risk mental state. In general, it appears that about 1/3 of UHR cases convert to psychosis, about 1/3 do not convert but remain symptomatic and functionally impaired, and about 1/3 recover symptomatically and functionally. Continued efforts to detect early risk for psychosis are critical for informing early intervention and provide increasing promise of delaying or even preventing the onset of psychosis.
- Open Access
- 11 August 2010
- Published by SAGE Publications in Current Directions in Psychological Science
- Vol. 19 (4) , 226-231
Structural and Functional Brain Abnormalities in Schizophrenia
Schizophrenia is associated with changes in the structure and functioning of a number of key brain systems, including prefrontal and medial temporal lobe regions involved in working memory and declarative memory, respectively. Imaging techniques provide an unparalleled window into these changes, allowing repeated assessments across pre- and post-onset stages of the disorder and in relation to critical periods of brain development. Here we review recent directions in structural and functional neuroimaging research on schizophrenia. The view emerging from this work is that schizophrenia is fundamentally a disorder of disrupted neural connectivity, the sources of which appear to be genetic and environmental risk factors influencing brain development both prenatally and during adolescence.
- 11 August 2010
- Published by SAGE Publications in Current Directions in Psychological Science
- Vol. 19 (4) , 226-231
Open AccessStructural and Functional Brain Abnormalities in Schizophrenia
Schizophrenia is associated with changes in the structure and functioning of a number of key brain systems, including prefrontal and medial temporal lobe regions involved in working memory and declarative memory, respectively. Imaging techniques provide an unparalleled window into these changes, allowing repeated assessments across pre- and post-onset stages of the disorder and in relation to critical periods of brain development. Here we review recent directions in structural and functional neuroimaging research on schizophrenia. The view emerging from this work is that schizophrenia is fundamentally a disorder of disrupted neural connectivity, the sources of which appear to be genetic and environmental risk factors influencing brain development both prenatally and during adolescence.
- 1 May 2010
- Published by Elsevier in Schizophrenia Research
- Vol. 118 (1-3) , 69-75
Predicting the longitudinal effects of the family environment on prodromal symptoms and functioning in patients at-risk for psychosis
- 1 May 2010
- Published by Elsevier in Schizophrenia Research
- Vol. 118 (1-3) , 69-75
Predicting the longitudinal effects of the family environment on prodromal symptoms and functioning in patients at-risk for psychosis
- 1 April 2010
- Published by American Psychiatric Association Publishing in American Journal of Psychiatry
- Vol. 167 (4) , 369-372
Candidate Gene Studies in the GWAS Era: TheMETProto-Oncogene, Neurocognition, and Schizophrenia
- 1 April 2010
- Published by American Psychiatric Association Publishing in American Journal of Psychiatry
- Vol. 167 (4) , 369-372
Candidate Gene Studies in the GWAS Era: TheMETProto-Oncogene, Neurocognition, and Schizophrenia
- 1 December 2009
- Published by Elsevier in Biological Psychiatry
- Vol. 66 (11) , 1055-1060
Elucidating a Magnetic Resonance Imaging-Based Neuroanatomic Biomarker for Psychosis: Classification Analysis Using Probabilistic Brain Atlas and Machine Learning Algorithms
- 1 December 2009
- Published by Elsevier in Biological Psychiatry
- Vol. 66 (11) , 1055-1060
Elucidating a Magnetic Resonance Imaging-Based Neuroanatomic Biomarker for Psychosis: Classification Analysis Using Probabilistic Brain Atlas and Machine Learning Algorithms
- 30 November 2009
- Published by Elsevier in Psychiatry Research: Neuroimaging
- Vol. 174 (2) , 97-104
Efficiency of working memory encoding in twins discordant for schizophrenia
- 30 November 2009
- Published by Elsevier in Psychiatry Research: Neuroimaging
- Vol. 174 (2) , 97-104
Efficiency of working memory encoding in twins discordant for schizophrenia
- 5 September 2009
- Published by Springer Nature
- p. 251-266
Prediction of Psychosis Through the Prodromal Syndrome
- 5 September 2009
- Published by Springer Nature
- p. 251-266
Prediction of Psychosis Through the Prodromal Syndrome