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- Falck-Ytter, Terje, Professor, 1979-, et al.
(författare)
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Social attention : Developmental foundations and relevance for autism spectrum disorder
- 2023
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Ingår i: Biological Psychiatry. - : Elsevier. - 0006-3223 .- 1873-2402. ; 94:1, s. 8-17
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Tidskriftsartikel (refereegranskat)abstract
- The use of the term Social Attention (SA) in the cognitive neuroscience and developmental psychopathology literature has increased exponentially in recent years, in part motivated by the aim to understand the early development of autism spectrum disorder (ASD). Unfortunately, theoretical discussions around the term have lagged behind its various uses. Here, we evaluate SA through a review of key candidate SA phenotypes emerging early in life, from newborn gaze cueing and preference for face-like configurations to later emerging skills such as joint attention. We argue that most of the considered SA phenotypes are unlikely to represent unique socio-attentional processes but have to be understood in the broader context of bottom-up and emerging top-down (domain-general) attention. Some types of SA behaviors (e.g., initiation of joint attention) are linked to the early development of ASD, but this may reflect differences in social motivation rather than attention per se. Several SA candidates are not linked to ASD early in life, including the ones that may represent uniquely socio-attentional processes (e.g., orienting to faces, predicting others’ manual action goals). Although SA may be a useful super-ordinate category under which one can organize certain research questions, the widespread use of the term without proper definition is problematic. Characterizing gaze patterns and visual attention in infants at elevated likelihood for ASD in social contexts may facilitate early detection, but conceptual clarity regarding the underlying processes at play are needed to sharpen research questions and identify potential targets for early intervention.
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- Frick, Andreas, et al.
(författare)
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Classifying social anxiety disorder using multivoxel pattern analyses of brain function and structure
- 2014
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Ingår i: Behavioural Brain Research. - : Elsevier BV. - 0166-4328 .- 1872-7549. ; 75:9, s. 358S-358S
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Tidskriftsartikel (refereegranskat)abstract
- Functional neuroimaging of social anxiety disorder (SAD) support altered neural activation to threat-provoking stimuli focally in the fear network, while structural differences are distributed over the temporal and frontal cortices as well as limbic structures. Previous neuroimaging studies have investigated the brain at the voxel level using mass-univariate methods which do not enable detection of more complex patterns of activity and structural alterations that may separate SAD from healthy individuals. Support vector machine (SVM) is a supervised machine learning method that capitalizes on brain activation and structural patterns to classify individuals. The aim of this study was to investigate if it is possible to discriminate SAD patients (n = 14) from healthy controls (n = 12) using SVM based on (1) functional magnetic resonance imaging during fearful face processing and (2) regional gray matter volume. Whole brain and region of interest (fear network) SVM analyses were performed for both modalities. For functional scans, significant classifications were obtained both at whole brain level and when restricting the analysis to the fear network while gray matter SVM analyses correctly classified participants only when using the whole brain search volume. These results support that SAD is characterized by aberrant neural activation to affective stimuli in the fear network, while disorder-related alterations in regional gray matter volume are more diffusely distributed over the whole brain. SVM may thus be useful for identifying imaging biomarkers of SAD.
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- Garcia, Danilo, 1973, et al.
(författare)
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The Genetic Structure of Cloninger's Psychobiological Model of Personality in Adolescence
- 2012
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Ingår i: Biological Psychiatry. - 0006-3223 .- 1873-2402.
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Konferensbidrag (refereegranskat)abstract
- Background: Cloninger’s psychobiological model is based on differences between procedural versus propositional learning, leading to the distinction between four temperament and three character dimensions. In contrast to Cloninger’s original theory, association studies and quantitative genetic studies have suggested at least equally (if not more) importance of genes and genetic effects behind characterdimensions as compared to temperament dimensions. We aimed to investigate the genetic structure of Cloninger’s model in a large population-based study group of adolescent twins to capture the developing personality. Methods: To understand which factors contributed to the seven TCI dimensions, we conducted univariate genetic analysis, using a model-fitting approach with structural equation-modeling techniques. Subjects: 831 monozygotic (MZ) or same-sex dizygotic (DZ) twin pairs aged 15 completed the Temperament and Character Inventory (TCI). Results: Three of the four temperament dimensions (Novelty Seeking, Harm Avoidance; Persistence) showed genetic contributions and unique environmental effects, supporting the original theoretical assumption and previous studies. As predicted by theory, all three character dimensions could be referred to genetic, common environmental, and unique environmental factors, with a considerably lower degree of genetic determinance (see Table 1). Conclusions: In contrast to previously published findings, the results presented here support the robustness of the original TCI structure.
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