Combining the categorical and the dimensional perspective in a diagnostic map of psychotic disorders

Läge, Damian; Egli, Samy; Riedel, Michael; Strauß, Anton; Möller, Hans‐Jürgen

doi:10.1007/s00406-010-0125-y

Cited by 18 publications

(12 citation statements)

References 33 publications

(45 reference statements)

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“…Efforts aimed at integrating the categorical and dimensional perspectives of autism and other conditions are underway [38–40, 57]. However, with the increase in the popularity of finite mixture modeling to inform this debate, it is important for the modeler to ensure concordance between the model’s assumptions and the distribution of the latent structure within the population.…”

Section: Resultsmentioning

confidence: 99%

The distribution of autistic traits across the autism spectrum: evidence for discontinuous dimensional subpopulations underlying the autism continuum

et al. 2019

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Background A considerable amount of research has discussed whether autism and psychiatric/neurodevelopmental conditions in general are best described categorically or dimensionally. In recent years, finite mixture models have been increasingly applied to mixed populations of autistic and non-autistic individuals to answer this question. However, the use of such methods with mixed populations may not be appropriate for two reasons: First, subgroups within mixed populations are often skewed and thus violate mixture models assumptions, which are based on weighted sum of Gaussian distributions. Second, these analyses have, to our knowledge, been solely applied to enriched samples, where the prevalence of the clinical condition within the study sample far exceeds epidemiological estimates. Method We employed a dual Weibull mixture model to examine the distribution of the Autism Spectrum Quotient scores of a mixed sample of autistic and non-autistic adults ( N = 4717; autism = 811), as well as of a derived sample (from the enriched sample; N = 3973; autism = 67) that reflects the current prevalence of autism within the general population. Results In a mixed autistic and non-autistic population, our model provided a better description of the underlying structure of autistic traits than traditional finite Gaussian mixture models and performed well when applied to a sample that reflected the prevalence of autism in the general population. The model yielded results, which are consistent with predictions of current theories advocating for the co-existence of a mixed categorical and dimensional architecture within the autism spectrum. Conclusion The results provide insight into the continuum nature of the distribution of autistic traits, support the complementary role of both categorical and dimensional approaches to autism spectrum condition, and underscore the importance of analyzing samples that reflect the epidemiological prevalence of the condition. Owing to its flexibility to represent a wide variety of distributions, the Weibull distribution might be better suited for latent structure studies, within enriched and prevalence-true samples. Electronic supplementary material The online version of this article (10.1186/s13229-019-0275-3) contains supplementary material, which is available to authorized users.

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Section: Resultsmentioning

confidence: 99%

The distribution of autistic traits across the autism spectrum: evidence for discontinuous dimensional subpopulations underlying the autism continuum

et al. 2019

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“…MDS techniques have previously been used for the analysis of social relationships in several species [Bardi et al, 2005;Ding, 2005;Rima et al, 2009], and it is also frequently used in biological sciences to cluster complex sources of information (i.e. genotypes) [Kim et al, 2010], fMRI data [Benjaminsson et al, 2010], and psychotic disorders [Läge et al, 2010]. To facilitate interpretation of the maps, circles on the areas of association can be drawn.…”

Section: Data Analysis and Statisticsmentioning

confidence: 99%

Characteristic Neurobiological Patterns Differentiate Paternal Responsiveness in Two <i>Peromyscus</i> Species

et al. 2011

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Rodent paternal models provide unique opportunities to investigate the emergence of affiliative social behavior in mammals. Using biparental and uniparental Peromyscus species (californicus and maniculatus, respectively) we assessed paternal responsiveness by exposing males to biological offspring, unrelated conspecific pups, or familiar brothers following a 24-hour separation. The putative paternal circuit we investigated included brain areas involved in fear/anxiety [cingulate cortex (Cg), medial amygdala (MeA), paraventricular nucleus of the hypothalamus (PVN), and lateral septum (LS)], parental motivation [medial preoptic area (MPOA)], learning/behavioral plasticity (hippocampus), olfaction [pyriform cortex (PC)], and social rewards (nucleus accumbens). Paternal experience in californicus males reduced fos immunoreactivity (ir) in several fear/anxiety areas; additionally, all californicus groups exhibited decreased fos-ir in the PC. Enhanced arginine vasopressin (AVP) and oxytocin (OT)-ir cell bodies and fibers, as well as increased neuronal restructuring in the hippocampus, were also observed in californicus mice. Multidimensional scaling analyses revealed distinct brain activation profiles differentiating californicus biological fathers, pup-exposed virgins, and pup-naïve virgins. Specifically, associations among MPOA fos, CA1 fos, dentate gyrus GFAP, CA2 nestin-, and PVN OT-ir characterized biological fathers; LS fos-, Cg fos-, and AVP-ir characterized pup-exposed virgins, and PC-, PVN-, and MeA fos-ir characterized pup-naïve virgins. Thus, whereas fear/anxiety areas characterized pup-naïve males, neurobiological factors involved in more diverse functions such as learning, motivation, and nurturing responses characterized fatherhood in biparental californicus mice. Less distinct paternal-dependent activation patterns were observed in uniparental maniculatus mice. These data suggest that dual neurobiological circuits, leading to the inhibition of social-dependent anxiety as well as the activation of affiliative responses, characterize the transition from nonpaternal to paternal status in californicus mice.

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“…Breslau et al, 2005;Forbes et al, 2010;Läge et al, 2011). However, the main difference between these two approaches was that symptom patterns were not classified into one of categories (e.g.…”

mentioning

confidence: 99%

Posttraumatic reactions to an earthquake: Multidimensional scaling profile analysis of adolescent survivors

Ding

Xia

2013

J Health Psychol

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The current study examined the prototypical profiles of posttraumatic stress reactions among a sample of 282 adolescent survivors of the 2008 Wenchuan earthquake in China. Based on a dimensional perspective, the results of profile analysis via multidimensional scaling (PAMS) model revealed a two-dimensional solution corresponding to four profiles: intrusion, avoidance/arousal, partial avoidance, and hyperarousal. These profiles of posttraumatic stress symptoms equally manifested across gender. In addition, the Intrusion Profile was found to be associated with more elevated psychological distress symptoms. Results are discussed with respect to the typical posttraumatic stress symptoms following the earthquake.

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Combining the categorical and the dimensional perspective in a diagnostic map of psychotic disorders

Cited by 18 publications

References 33 publications

The distribution of autistic traits across the autism spectrum: evidence for discontinuous dimensional subpopulations underlying the autism continuum

The distribution of autistic traits across the autism spectrum: evidence for discontinuous dimensional subpopulations underlying the autism continuum

Characteristic Neurobiological Patterns Differentiate Paternal Responsiveness in Two <i>Peromyscus</i> Species

Posttraumatic reactions to an earthquake: Multidimensional scaling profile analysis of adolescent survivors

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