P300 amplitude, externalizing psychopathology, and earlier- versus later-onset substance-use disorder.

Carlson, Scott R.; McLarnon, Megan E.; Iacono, William G.

doi:10.1037/0021-843x.116.3.565

Cited by 42 publications

(54 citation statements)

References 109 publications

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“…Reduced amplitude in the P3 (P3AR) has been found in persons with myriad externalizing disorders and in persons with higher levels of substance use and misuse (Yoon et al 2006). P3 amplitude reduction early in life predicts development of substance use disorders (SUDs) (Carlson et al 2007). Research also shows links between P3AR and the general externalizing spectrum, that is the covariance in common among externalizing syndromes, as opposed to the residual variance in any specific syndrome .…”

Section: Shared Neural Substrates Biomarkers and Cognitive And Emotmentioning

confidence: 99%

Externalizing disorders: Cluster 5 of the proposed meta-structure for DSM-V and ICD-11

2009

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"Externalizing disorders: Cluster 5 of the proposed meta-structure for DSM-V and ICD-11." Psychological Medicine.39,12. 2061-2070. http://digitalcommons.wustl.edu/open_access_pubs/3931Externalizing disorders: Cluster 5 of the proposed meta-structure for DSM-V and ICD-11Paper 6 of 7 of the thematic section : ' A proposal for a meta-structure for DSM-V and ICD-11 ' R. F. Krueger 1 * and S. C. South 2 1 Departments of Psychology and Psychiatry, Washington University in St Louis, St Louis, MO, USA 2 Department of Psychology, Purdue University, Lafayette, IN, USA Background. The extant major psychiatric classifications DSM-IV and ICD-10 are purportedly atheoretical and largely descriptive. Although this achieves good reliability, the validity of a medical diagnosis is greatly enhanced by an understanding of the etiology. In an attempt to group mental disorders on the basis of etiology, five clusters have been proposed. We consider the validity of the fifth cluster, externalizing disorders, within this proposal.Method. We reviewed the literature in relation to 11 validating criteria proposed by the Study Group of the DSM-V Task Force, in terms of the extent to which these criteria support the idea of a coherent externalizing spectrum of disorders.Results. This cluster distinguishes itself by the central role of disinhibitory personality in mental disorders spread throughout sections of the current classifications, including substance dependence, antisocial personality disorder and conduct disorder. Shared biomarkers, co-morbidity and course offer additional evidence for a valid cluster of externalizing disorders.Conclusion. Externalizing disorders meet many of the salient criteria proposed by the Study Group of the DSM-V Task Force to suggest a classification cluster.

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Section: Shared Neural Substrates Biomarkers and Cognitive And Emotmentioning

confidence: 99%

Externalizing disorders: Cluster 5 of the proposed meta-structure for DSM-V and ICD-11

2009

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“…Reduced amplitude of the P300 wave, a nonspecific index of brain activity, is a well-studied endophenotype that has been associated with childhood disruptive behavior disorders and antisocial personality disorder (Iacono,Carlson,Malone,& McGue,13 2002), substance misuse and SUDs (Carlson, McLarnon, & Iacono, 2007;Iacono et al, 2002;Yoon et al, 2006), and the externalizing latent trait (Patrick, 2006). Although the biological systems underlying individual differences in the P300 wave (Burwell, Malone, Bernat, & Iacono, 2014) are not well understood, individual differences in P300 amplitude predict subsequent development of EXT disorders Perlman, Markin, & Iacono, 2013), are heritable (van Beijsterveldt & van Baal 2002;Perlman, Johnson, & Iacono, 2009;van Beijsterveldt & van Baal, 2002;Yoon et al, 2006), and the association between attenuated P300 amplitude and externalizing disorders is genetically mediated (Hicks et al, 2007a).…”

Section: Behavioral Disinhibition Liability For Externalizing Disordersmentioning

confidence: 99%

An Integrative Common Liabilities Model for the Comorbidity of Substance Use Disorders with Externalizing and Internalizing Disorders

Tully

Iacono

2014

Oxford Handbooks Online

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This paper presents an integrative research-derived model to explain comorbidity among SUDs, externalizing disorders, and internalizing disorders. This hierarchical model is based on phenotypic covariance among the disorders and latent common genetic liability. At the highest level of the hierarchy, general genetically-influenced biological dispositions to negative emotionality and behavioral disinhibition each give rise to spectra of related personality traits, cognitive processes, behavioral tendencies, and psychopathology that account for the pattern of co-occurrence among mental disorders. At the lowest level of the hierarchy, disorder-specific genetic and environmental effects explain the presence of some and not other disorders associated with a given general liability. Interplay between the general liabilities and both other genes and environmental factors throughout development affect the likelihood of developing specific mental disorders.

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“…However, multiple lines of evidence indicate that P300 abnormalities may be liability markers for psychotic disorders generally rather than for a specific diagnostic group (11,17,27,28). Indeed, P300 abnormalities have been described for multiple neurobehavioral diagnostic categories (29). …”

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confidence: 99%

Event-Related Potential and Time-Frequency Endophenotypes for Schizophrenia and Psychotic Bipolar Disorder

Ethridge¹,

Hamm²,

Pearlson³

et al. 2015

Biological Psychiatry

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Background The investigators compared event related potential (ERP) amplitude measurements and event-related oscillations across a broad frequency range during an auditory oddball task using a comprehensive analysis approach to describe shared and unique neural auditory processing characteristics among healthy subjects (HP), schizophrenia probands (SZ) and their first-degree relatives (SZrel), and bipolar disorder I with psychosis probands (BDP) and their first-degree relatives (BDPrel). Methods This Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) sample consisted of clinically stable SZ (n=229) and BDP (n=188), healthy subjects (HP, n=284), SZrel (n=264) and BDPrel (n=239). They were administered an auditory oddball task in the electroencephalography (EEG) environment. Principal components analysis (PCA) derived data-driven frequency bands for measurement of evoked power. Spatial PCA reduced ERP and frequency data to component waveforms for each subject. Clusters of time-bins with significant group differences on magnitude of response were assessed for patterns of proband/relative differences from HP and familiality. Results Nine variables survived a linear discriminant analysis between HP, SZ, and BDP. Of those, two showed evidence (deficit in relatives and familiality) as genetic risk markers more specific to SZ (N1, P3b) while one was specific to BDP (P2) and one for psychosis in general (N2). Conclusions This study provides support for both shared and unique deficits in early sensory and late cognitive processing across psychotic diagnostic groups Additional ERP and time-frequency component alterations (frontal N2/P2, late high, early mid and low- frequency) may provide insight into deficits in underlying neural architecture and potential protective/compensatory mechanisms in unaffected relatives.

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P300 amplitude, externalizing psychopathology, and earlier- versus later-onset substance-use disorder.

Cited by 42 publications

References 109 publications

Externalizing disorders: Cluster 5 of the proposed meta-structure for DSM-V and ICD-11

Externalizing disorders: Cluster 5 of the proposed meta-structure for DSM-V and ICD-11

An Integrative Common Liabilities Model for the Comorbidity of Substance Use Disorders with Externalizing and Internalizing Disorders

Event-Related Potential and Time-Frequency Endophenotypes for Schizophrenia and Psychotic Bipolar Disorder

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