Robert Cloninger

The relationship of personality to mood and anxiety states: A dimensional approach

This study evaluates the relationship of personality to mood and anxiety states in a sample of 50 psychiatric out patients. In order to overcome arbitrariness inherent in categorical diagnoses of affective, personality and anxiety disorders, we use a dimensional approach to personality, mood and anxiety. According to our results, mood and anxiety states affect personality domains differentially. Namely, relatively large portions of personality and behavior, such as higher-order traits of novelty seeking and reward dependence, seem independent from mood and anxiety states. In contrast, the higher-order dimension of harm avoidance and its corresponding lower-order traits reflect changes in mood and anxiety to a much greater extent. Both the likelihood that large portions of personality may be independent from current mood and the likelihood that some precisely delineated personality domains tend to change simultaneously with current mood may improve our understanding of the relationship of personality to emotionality and affective disorders.

Swedish normative data on personality using the temperament and character inventory

The Temperament and Character Inventory (TCI) is a self-report personality questionnaire based on Cloningers psychobiological model of personality, which accounts for both normal and abnormal variation in the two major components of personality, temperament and character. Normative data for the Swedish TCI based on a representative Swedish sample of 1,300 adults are presented, and the psychometric properties of the questionnaire are discussed. The structure of the Swedish version replicates the American version well for the means, distribution of scores, and relationships within the between scales and subscales. Further, the Swedish inventory had a reliable factor structure and test-retest performance. The results of this study confirm the theory of temperament and character as a seven-factor model of personality.

Quantitative trait loci analysis of human event-related brain potentials: P3 voltage

The P3 event-related brain potential (ERP) is a positive-going voltage change of scalp-recorded electroencephalographic activity that occurs between 300-500 ms after stimulus onset. It is elicited when a stimulus is perceived, memory operations are engaged, and attentional resources are allocated toward its processing. Because this ERP component reflects fundamental cognitive processing, it has found wide utility as an assessment of human mental function in basic and clinical studies. In particular, P3 attributes are heritable and have demonstrated considerable promise as a means to identify individuals at genetic risk for alcoholism. We have conducted a quantitative linkage analysis on a large sample from families with a high density of affected individuals. The analyses suggest that several regions of the human genome contain genetic loci related to the generation of the P3 component of the ERP, which are possible candidate loci underlying the functional organization of human neuroelectric activity.

THE GENETICS OF ALCOHOLISMS AND RELATED DISORDERS

The inheritance of alcohol abuse and other psychopathology in 862 men and 913 women adopted by non-relatives, was studied. Both male and female adoptees were at greater risk to develop alcohol abuse if their biological, but not their adoptive, parents were alcoholic. Three types of families with alcoholism were distinguished that differed in frequency of alcohol abuse, somatoform disorders in women and in relation to antisocial behaviour in male adoptees. The combination of both genetic and environmental risk factors was necessary for the development of alcoholism in the most common, milieu-limited type of alcoholism. In families with a less common, male-limited, type of vulnerability, alcohol abuse was highly heritable in men, but women had multiple somatic complaints and seldom abuse. In a third type of family the common vulnerability was expressed as antisocial behavior with violent criminality and recurrent alcohol abuse in males, but as high frequency somatization in female relatives.

Increased cancer risk among Swedish female alcoholics.

We evaluated site-specific cancer risks in alcoholic women. We identified 15,508 alcoholic women from the records of the Temperance Boards in Sweden and obtained a comparison group by selecting for each alcoholic woman one female individual matched for region and day of birth. We obtained incidence data from the Swedish Cancer Registry. We found an increased relative risk (RR) for any cancer [RR = 1.6; 95% confidence interval (CI) = 1.5–1.8]; site-specific risks were increased for tongue (RR = 8.5; 95% CI = 2.0–37), mouth (RR = 12; 95% CI = 1.6–92), tonsil (RR = 11; 95% CI = 1.4–85), hypopharynx (RR = 9.0; 95% CI = 1.1–71), larynx (RR = 7.0; 95% CI = 0.9–57), liver (RR = 4.6; 95% CI = 1.8–12), pancreas (RR = 2.7; 95% CI = 1.6–4.6), lung (RR = 5.0; 95% CI = 3.3–7.5), breast (RR = L4; 95% CI = 1.2–1.7), cervix uteri (RR = 3.9; 95% CI = 2.8–5.4), and vulva, vagina, and unspecified female genital organs (RR = 4.0; 95% CI = 1.3–12). We found a decreased risk for malignant melanoma of the skin (RR = 0.5; 95% CI = 0.3–1.0). Since this was a register study, the results may be confounded by differences in smoking, dietary habits, and/or other factors in the cohort of alcoholic women and the comparison group.

A genome-wide association study of DSM-IV cannabis dependence.

Despite twin studies showing that 50–70% of variation in DSM‐IV cannabis dependence is attributable to heritable influences, little is known of specific genotypes that influence vulnerability to cannabis dependence. We conducted a genome‐wide association study of DSM‐IV cannabis dependence. Association analyses of 708 DSM‐IV cannabis‐dependent cases with 2346 cannabis‐exposed non‐dependent controls was conducted using logistic regression in PLINK. None of the 948 142 single nucleotide polymorphisms met genome‐wide significance (P at E–8). The lowest P values were obtained for polymorphisms on chromosome 17 (rs1019238 and rs1431318, P values at E–7) in the ANKFN1 gene. While replication is required, this study represents an important first step toward clarifying the biological underpinnings of cannabis dependence.

Decomposition of brain diffusion imaging data uncovers latent schizophrenias with distinct patterns of white matter anisotropy

Fractional anisotropy (FA) analysis of diffusion tensor-images (DTI) has yielded inconsistent abnormalities in schizophrenia (SZ). Inconsistencies may arise from averaging heterogeneous groups of patients. Here we investigate whether SZ is a heterogeneous group of disorders distinguished by distinct patterns of FA reductions. We developed a Generalized Factorization Method (GFM) to identify biclusters (i.e., subsets of subjects associated with a subset of particular characteristics, such as low FA in specific regions). GFM appropriately assembles a collection of unsupervised techniques with Non-negative Matrix Factorization to generate biclusters, rather than averaging across all subjects and all their characteristics. DTI tract-based spatial statistics images, which output is the locally maximal FA projected onto the group white matter skeleton, were analyzed in 47 SZ and 36 healthy subjects, identifying 8 biclusters. The mean FA of the voxels of each bicluster was significantly different from those of other SZ subjects or 36 healthy controls. The eight biclusters were organized into four more general patterns of low FA in specific regions: 1) genu of corpus callosum (GCC), 2) fornix (FX)+external capsule (EC), 3) splenium of CC (SCC)+retrolenticular limb (RLIC)+posterior limb (PLIC) of the internal capsule, and 4) anterior limb of the internal capsule. These patterns were significantly associated with particular clinical features: Pattern 1 (GCC) with bizarre behavior, pattern 2 (FX+EC) with prominent delusions, and pattern 3 (SCC+RLIC+PLIC) with negative symptoms including disorganized speech. The uncovered patterns suggest that SZ is a heterogeneous group of disorders that can be distinguished by different patterns of FA reductions associated with distinct clinical features.

Cross-cultural validation of the revised Temperament and Character Inventory: Serbian data

OBJECTIVE In this work, we report data on construct validity and cross cultural applicability of the revised Temperament and Character Inventory (TCI R) (Cloninger, C.R., Przybeck, T.R., Svrakic, D.M., & Wetzel, R.D. (1999). The Temperament and Character Inventory-revised, Washington University, St. Louis), a 5-point scale scoring formatrevision of the original, true-false version TCI (Cloninger, C.R., Przybeck, T.R., Svrakic, D.M., & Wetzel, R.D. (1994). The Temperament and Character Inventory-A guide to its development and use, Washington University, St. Louis). Both versions are based on the seven factor Psychobiological Model of Personality (Cloninger CR, Svrakic, DM & Przybeck TR (1993). A Psychobiological Model of temperament and Character, Archives of General Psychiatry, 50, 975-990). METHODS The sample consisted of 473 normal adult subjects representing a number of Serbian cities and towns, recruited consecutively while registering at the National Employment Center, located in Belgrade, Serbia. The sample was the designed to be highly representative of urban and suburban population in Serbia to match to TCI R sample in the US. The 240-item, 5-point scale scoring TCI R was used to assess temperament and character traits. In addition to a number of other revisions, the scoring format in the TCI R was changed into a 5-point Likert scale to increase its sensitivity to subtle variations in personality expression. The TCI R mean scores and standard deviations were compared between Serbian and US subjects, internal consistency of the TCI R scales was estimated using Cronbachs alpha coefficients, and principal component analysis was used separately for temperament and character (because of their non-linear relationship) to test the underlying factorial structure of the TCI R. Parallel analysis and randomized simulation data were used to determine the number of factors for temperament and character. RESULTS The results generally supported the construct validity and the cross cultural applicability of the TCI R in Serbia. With a few exceptions, the observed internal consistency for the TCI R scales was acceptable. For the most part, the US and Serbian subjects manifested comparable temperament traits, whereas US subjects had higher character scores. The observed differences are understood as partly reflective of local culture and partly of dramatic socio-economic change in Serbia over the last 20 years. Principal component analysis fully supported the four factor structure of temperament and the three factor structure of character, as postulated by theory. The inadequacy of using linear statistical methods in studying complex non-linear systems such as personality is discussed in some detail.

Validation of the Italian translation of the Revised Temperament and Character Inventory – TCI-140 – in adult participants and in participants with medical diseases

INTRODUCTION This study aimed at assessing the reliability and construct validity of the TCI-140. METHODOLOGY SAMPLE 428 Italian participants. EXCLUSION CRITERIA psychiatric disorders. 100 subjects - longitudinal retest study. RESULTS The results of descriptive statistics of internal consistency reliabilities (Cronbach coefficient) of TCI-R dimensions showed: a strong internal consistence of the scales: HA (α = 0.84); RD (α = 0.70); SD (α = 0.86); C (α = 0.75); ST (α = 0.83); a low level in NS (α = 0.60). In relation to facets, internal consistency reliabilities (Cronbach coefficient) ranged from 0.14 C3 to 0.79 C4 (from 3rd to 4th facet of C scale). Correlations: highest inverse correlation between HA and SD (r = -0.56); moderate inverse correlations for: HA and PS (r = -0.37); C and RD(r = 0.32); C and SD (r = 0.44). P, SD, C and ST showed good inter class correlations (ICC) ≥ 70 maintaining a good stability of the measures over the time. Four factors accounted for 56.3% of the variance for temperament subscale. Subscales of: PS4, PS3 PS2, PS1, NS3 for factor 1; HA2, HA1, HA4, HA3 for factor 2; RD1, RD2 and RD3 for factor 3; NS4, NS1 and NS2 for factor 4. Three factors that were identified accounted for 58.3% of the variance for character subscales of: SD3, SD5, SD1, SD2 for factor 1; C4, C1, C5, SD4, C3 for factor 2; ST2, ST1, ST3, C2 for factor 3. CONCLUSION The reliability coefficients were significantly good for some dimensions of TCI-140 and showed a good correlation after time, while some dimensions as NS have low reliability. In the principal components analysis does not saturate all dimensions in its theoretical factor. Moreover TCI-140 is a useful inventory for the evaluation of the principal dimensions of temperament and character.