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Featured researches published by Tyrone D. Cannon.


The Lancet | 2009

COMMON GENETIC DETERMINANTS OF SCHIZOPHRENIA AND BIPOLAR DISORDER IN SWEDISH FAMILIES: A POPULATION-BASED STUDY

Paul Lichtenstein; Benjamin H. Yip; Camilla Björk; Yudi Pawitan; Tyrone D. Cannon; Patrick F. Sullivan; Christina M. Hultman

BACKGROUND Whether schizophrenia and bipolar disorder are the clinical outcomes of discrete or shared causative processes is much debated in psychiatry. We aimed to assess genetic and environmental contributions to liability for schizophrenia, bipolar disorder, and their comorbidity. METHODS We linked the multi-generation register, which contains information about all children and their parents in Sweden, and the hospital discharge register, which includes all public psychiatric inpatient admissions in Sweden. We identified 9 009 202 unique individuals in more than 2 million nuclear families between 1973 and 2004. Risks for schizophrenia, bipolar disorder, and their comorbidity were assessed for biological and adoptive parents, offspring, full-siblings and half-siblings of probands with one of the diseases. We used a multivariate generalised linear mixed model for analysis of genetic and environmental contributions to liability for schizophrenia, bipolar disorder, and the comorbidity. FINDINGS First-degree relatives of probands with either schizophrenia (n=35 985) or bipolar disorder (n=40 487) were at increased risk of these disorders. Half-siblings had a significantly increased risk (schizophrenia: relative risk [RR] 3.6, 95% CI 2.3-5.5 for maternal half-siblings, and 2.7, 1.9-3.8 for paternal half-siblings; bipolar disorder: 4.5, 2.7-7.4 for maternal half-siblings, and 2.4, 1.4-4.1 for paternal half-siblings), but substantially lower than that of the full-siblings (schizophrenia: 9.0, 8.5-11.6; bipolar disorder: 7.9, 7.1-8.8). When relatives of probands with bipolar disorder were analysed, increased risks for schizophrenia existed for all relationships, including adopted children to biological parents with bipolar disorder. Heritability for schizophrenia and bipolar disorder was 64% and 59%, respectively. Shared environmental effects were small but substantial (schizophrenia: 4.5%, 4.4%-7.4%; bipolar disorder: 3.4%, 2.3%-6.2%) for both disorders. The comorbidity between disorders was mainly (63%) due to additive genetic effects common to both disorders. INTERPRETATION Similar to molecular genetic studies, we showed evidence that schizophrenia and bipolar disorder partly share a common genetic cause. These results challenge the current nosological dichotomy between schizophrenia and bipolar disorder, and are consistent with a reappraisal of these disorders as distinct diagnostic entities.


Archives of General Psychiatry | 2008

Prediction of Psychosis in Youth at High Clinical Risk: A Multisite Longitudinal Study in North America

Tyrone D. Cannon; Kristin S. Cadenhead; Barbara A. Cornblatt; Scott W. Woods; Jean Addington; Elaine F. Walker; Larry J. Seidman; Diana O. Perkins; Ming T. Tsuang; Thomas H. McGlashan; Robert Heinssen

CONTEXT Early detection and prospective evaluation of individuals who will develop schizophrenia or other psychotic disorders are critical to efforts to isolate mechanisms underlying psychosis onset and to the testing of preventive interventions, but existing risk prediction approaches have achieved only modest predictive accuracy. OBJECTIVES To determine the risk of conversion to psychosis and to evaluate a set of prediction algorithms maximizing positive predictive power in a clinical high-risk sample. DESIGN, SETTING, AND PARTICIPANTS Longitudinal study with a 2 1/2-year follow-up of 291 prospectively identified treatment-seeking patients meeting Structured Interview for Prodromal Syndromes criteria. The patients were recruited and underwent evaluation across 8 clinical research centers as part of the North American Prodrome Longitudinal Study. MAIN OUTCOME MEASURE Time to conversion to a fully psychotic form of mental illness. RESULTS The risk of conversion to psychosis was 35%, with a decelerating rate of transition during the 2 1/2-year follow-up. Five features assessed at baseline contributed uniquely to the prediction of psychosis: a genetic risk for schizophrenia with recent deterioration in functioning, higher levels of unusual thought content, higher levels of suspicion/paranoia, greater social impairment, and a history of substance abuse. Prediction algorithms combining 2 or 3 of these variables resulted in dramatic increases in positive predictive power (ie, 68%-80%) compared with the prodromal criteria alone. CONCLUSIONS These findings demonstrate that prospective ascertainment of individuals at risk for psychosis is feasible, with a level of predictive accuracy comparable to that in other areas of preventive medicine. They provide a benchmark for the rate and shape of the psychosis risk function against which standardized preventive intervention programs can be compared.


Nature Neuroscience | 2001

Genetic influences on brain structure

Paul M. Thompson; Tyrone D. Cannon; Katherine L. Narr; Theo G.M. van Erp; Veli-Pekka Poutanen; Matti O. Huttunen; Jouko Lönnqvist; Carl-Gustaf Standertskjöld-Nordenstam; Jaakko Kaprio; Mohammad Khaledy; Rajneesh Dail; Chris I. Zoumalan; Arthur W. Toga

Here we report on detailed three-dimensional maps revealing how brain structure is influenced by individual genetic differences. A genetic continuum was detected in which brain structure was increasingly similar in subjects with increasing genetic affinity. Genetic factors significantly influenced cortical structure in Brocas and Wernickes language areas, as well as frontal brain regions (r2MZ > 0.8, p < 0.05). Preliminary correlations were performed suggesting that frontal gray matter differences may be linked to Spearmans g, which measures successful test performance across multiple cognitive domains (p < 0.05). These genetic brain maps reveal how genes determine individual differences, and may shed light on the heritability of cognitive and linguistic skills, as well as genetic liability for diseases that affect the human cortex.


JAMA Psychiatry | 2013

The Psychosis High-Risk State A Comprehensive State-of-the-Art Review

Paolo Fusar-Poli; Stefan Borgwardt; Andreas Bechdolf; Jean Addington; Anita Riecher-Rössler; Frauke Schultze-Lutter; Matcheri S. Keshavan; Stephen J. Wood; Stephan Ruhrmann; Larry J. Seidman; Lucia Valmaggia; Tyrone D. Cannon; Lieuwe de Haan; Barbara A. Cornblatt; Ilaria Bonoldi; Max Birchwood; Thomas H. McGlashan; William T. Carpenter; Patrick D. McGorry; Joachim Klosterkötter; Philip McGuire; Alison R. Yung

CONTEXT During the past 2 decades, a major transition in the clinical characterization of psychotic disorders has occurred. The construct of a clinical high-risk (HR) state for psychosis has evolved to capture the prepsychotic phase, describing people presenting with potentially prodromal symptoms. The importance of this HR state has been increasingly recognized to such an extent that a new syndrome is being considered as a diagnostic category in the DSM-5. OBJECTIVE To reframe the HR state in a comprehensive state-of-the-art review on the progress that has been made while also recognizing the challenges that remain. DATA SOURCES Available HR research of the past 20 years from PubMed, books, meetings, abstracts, and international conferences. STUDY SELECTION AND DATA EXTRACTION Critical review of HR studies addressing historical development, inclusion criteria, epidemiologic research, transition criteria, outcomes, clinical and functional characteristics, neurocognition, neuroimaging, predictors of psychosis development, treatment trials, socioeconomic aspects, nosography, and future challenges in the field. DATA SYNTHESIS Relevant articles retrieved in the literature search were discussed by a large group of leading worldwide experts in the field. The core results are presented after consensus and are summarized in illustrative tables and figures. CONCLUSIONS The relatively new field of HR research in psychosis is exciting. It has the potential to shed light on the development of major psychotic disorders and to alter their course. It also provides a rationale for service provision to those in need of help who could not previously access it and the possibility of changing trajectories for those with vulnerability to psychotic illnesses.


Current Biology | 2005

The HMG-CoA reductase inhibitor lovastatin reverses the learning and attention deficits in a mouse model of neurofibromatosis type 1.

Weidong Li; Yijun Cui; Steven A. Kushner; Robert Brown; J. David Jentsch; Paul W. Frankland; Tyrone D. Cannon; Alcino J. Silva

Neurofibromatosis Type 1 (NF1) is a common neurological disorder caused by mutations in the gene encoding Neurofibromin, a p21Ras GTPase Activating Protein (GAP). Importantly, NF1 causes learning disabilities and attention deficits. A previous study showed that the learning and memory deficits of a mouse model of NF1 (nf1+/-) appear to be caused by excessive p21Ras activity leading to impairments in long-term potentiation (LTP), a cellular mechanism of learning and memory. Here, we identify lovastatin as a potent inhibitor of p21Ras/Mitogen Activated Protein Kinase (MAPK) activity in the brain. Lovastatin is a specific inhibitor of three-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase, used commonly for the treatment of hypercholesterolemia. We report that lovastatin decreased the enhanced brain p21Ras-MAPK activity of the nf1+/- mice, rescued their LTP deficits, and reversed their spatial learning and attention impairments. Therefore, these results demonstrate that lovastatin may prove useful in the treatment of Neurofibromatosis Type 1.


American Journal of Psychiatry | 2011

At Clinical High Risk for Psychosis: Outcome for Nonconverters

Jean Addington; Barbara A. Cornblatt; Kristin S. Cadenhead; Tyrone D. Cannon; Thomas H. McGlashan; Diana O. Perkins; Larry J. Seidman; Ming T. Tsuang; Elaine F. Walker; Scott W. Woods; Robert Heinssen

OBJECTIVE A major focus of early intervention research is determining the risk of conversion to psychosis and developing optimal algorithms of prediction. Although reported rates of nonconversion vary in the literature, the nonconversion rate always encompasses a majority (50%-85%) of the sample participants. Less is known about the outcome among this group, referred to as false positive individuals. METHOD A longitudinal study was conducted of more than 300 prospectively identified treatment-seeking individuals meeting criteria for a psychosis-risk syndrome. Participants were recruited and evaluated across eight clinical research centers as part of the North American Prodrome Longitudinal Study. Over a 2.5-year follow-up assessment period, 214 (71%) participants had not made the transition to psychosis. RESULTS The sample examined included 111 individuals who had at least 1 year of follow-up data available and did not transition to psychosis within the study duration. In year 1, there was significant improvement in ratings for attenuated positive and negative symptoms. However, at least one attenuated positive symptom was still present for 43% of the sample at 1 year and for 41% at 2 years. At the follow-up timepoints, social and role functioning were significantly poorer in the clinical sample relative to nonpsychiatric comparison subjects. CONCLUSIONS Help-seeking individuals who meet prodromal criteria appear to represent those who are truly at risk for psychosis and are showing the first signs of illness, those who remit in terms of the symptoms used to index clinical high-risk status, and those who continue to have attenuated positive symptoms.


Biological Psychiatry | 2008

Diffusion Tensor Imaging of the Superior Longitudinal Fasciculus and Working Memory in Recent-Onset Schizophrenia

Katherine H. Karlsgodt; Theo G.M. van Erp; Russell A. Poldrack; Carrie E. Bearden; Keith H. Nuechterlein; Tyrone D. Cannon

BACKGROUND Structural and functional abnormalities in frontal-parietal circuitry are thought to be associated with working memory (WM) deficits in patients with schizophrenia. This study examines whether recent-onset schizophrenia is associated with anatomical changes in the superior longitudinal fasciculus (SLF), the main frontal-parietal white matter connection, and whether the integrity of the SLF is related to WM performance. METHODS We applied a novel registration approach (Tract-Based Spatial Statistics [TBSS]) to diffusion tensor imaging data to examine fractional anisotropy (FA) in the left and right SLF in 12 young adult patients with recent-onset schizophrenia and 17 matched control subjects. RESULTS Schizophrenia patients showed lower FA values than control subjects across the entire SLF, with particular deficits on the left SLF. Fractional anisotropy values were correlated with performance on a verbal WM task in both patient and control groups in the left but not right SLF. CONCLUSIONS Recent-onset schizophrenia patients show deficits in frontal-parietal connections, key components of WM circuitry. Moreover, the integrity of this physiological connection predicted performance on a verbal WM task, indicating that this structural change may have important functional implications. These findings support the view that schizophrenia is a disorder of brain connectivity and implicate white matter changes detectable in the early phases of the illness as one source of this dysfunction.


Biological Psychiatry | 2003

Spatial working memory as an endophenotype for schizophrenia

David C. Glahn; Sebastian Therman; Marko Manninen; Matti O. Huttunen; Joakko Kaprio; Jouko Lönnqvist; Tyrone D. Cannon

BACKGROUND Spatial working memory impairments are among the neurocognitive deficits that may mark genetic predisposition toward schizophrenia. We previously reported that impairment on the spatial span subtask of the Wechsler Adult Intelligence Scale-Revised increased in a dose-dependent manner with increasing genetic predisposition toward schizophrenia in a sample of discordant twins; however, it remains to be determined whether these deficits reflect difficulties with encoding, maintenance, manipulation, time-tagging of visual spatial information, storage capacity, or complex motor response. METHODS We developed a spatial delayed response task in which memory set size was parametrically varied, holding constant manipulation and decision processes. We then reassessed 80 of the previously studied twins (17 probands with 8 monozygotic co-twins and 13 dizygotic co-twins, and 42 healthy twins). RESULTS The spatial delayed response task was sensitive to genetic loading for schizophrenia but did not provide evidence for capacity limitations in probands or their co-twins. CONCLUSIONS The findings suggest that deficits in the encoding or storage aspects of short-term spatial mnemonic processing may be an effective endophenotypic marker for schizophrenia.


Schizophrenia Bulletin | 2012

Social Cognition in Schizophrenia, Part 1: Performance Across Phase of Illness

Michael F. Green; Carrie E. Bearden; Tyrone D. Cannon; Alan Page Fiske; Gerhard Hellemann; William P. Horan; Kimmy S. Kee; Robert S. Kern; Junghee Lee; Mark J. Sergi; Kenneth L. Subotnik; Catherine A. Sugar; Joseph Ventura; Cindy M. Yee; Keith H. Nuechterlein

Social cognitive impairments are consistently reported in schizophrenia and are associated with functional outcome. We currently know very little about whether these impairments are stable over the course of illness. In the current study, 3 different aspects of social cognition were assessed (emotion processing, Theory of Mind [ToM], and social relationship perception) at 3 distinct developmental phases of illness: prodromal, first episode, and chronic. In this cross-sectional study, participants included 50 individuals with the prodromal risk syndrome for psychosis and 34 demographically comparable controls, 81 first-episode schizophrenia patients and 46 demographically comparable controls, and 53 chronic schizophrenia patients and 47 demographically comparable controls. Outcome measures included total and subtest scores on 3 specialized measures of social cognition: (1) emotion processing assessed with the Mayer-Salovey-Caruso Emotional Intelligence Test, (2) ToM assessed with The Awareness of Social Inference Test, and (3) social relationship perception assessed the Relationships Across Domains Test. Social cognitive performance was impaired across all domains of social cognition and in all clinical samples. Group differences in performance were comparable across phase of illness, with no evidence of progression or improvement. Age had no significant effect on performance for either the clinical or the comparison groups. The findings suggest that social cognition in these 3 domains fits a stable pattern that has outcome and treatment implications. An accompanying article prospectively examines the longitudinal stability of social cognition and prediction of functional outcome in the first-episode sample.


Journal of the American Medical Informatics Association | 2001

A Four-Dimensional Probabilistic Atlas of the Human Brain

John C. Mazziotta; Arthur W. Toga; Alan C. Evans; Peter T. Fox; J. Lancaster; Karl Zilles; Roger P. Woods; T. Paus; G. Simpson; B. Pike; Colin J. Holmes; Laura C. Collins; Paul M. Thompson; D. MacDonald; Marco Iacoboni; T. Schormann; K. Amunts; N. Palomero-Gallagher; S. Geyer; L. Parsons; Katherine L. Narr; N. Kabani; G. le Goualher; J Feidler; K Smith; D.I. Boomsma; H.E. Hulshoff Pol; Tyrone D. Cannon; R. Kawashima; B. Mazoyer

The authors describe the development of a four-dimensional atlas and reference system that includes both macroscopic and microscopic information on structure and function of the human brain in persons between the ages of 18 and 90 years. Given the presumed large but previously unquantified degree of structural and functional variance among normal persons in the human population, the basis for this atlas and reference system is probabilistic. Through the efforts of the International Consortium for Brain Mapping (ICBM), 7,000 subjects will be included in the initial phase of database and atlas development. For each subject, detailed demographic, clinical, behavioral, and imaging information is being collected. In addition, 5,800 subjects will contribute DNA for the purpose of determining genotype- phenotype-behavioral correlations. The process of developing the strategies, algorithms, data collection methods, validation approaches, database structures, and distribution of results is described in this report. Examples of applications of the approach are described for the normal brain in both adults and children as well as in patients with schizophrenia. This project should provide new insights into the relationship between microscopic and macroscopic structure and function in the human brain and should have important implications in basic neuroscience, clinical diagnostics, and cerebral disorders.

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Barbara A. Cornblatt

North Shore-LIJ Health System

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Diana O. Perkins

University of North Carolina at Chapel Hill

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Ming T. Tsuang

University of California

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