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5. He Throws like a Girl (but Only when He's Sad): Emotion Affects Sex-Decoding of Biological Motion Displays

Author

Johnson, Kerri L., McKay, Lawrie S., and Pollick, Frank E.

Abstract

Gender stereotypes have been implicated in sex-typed perceptions of facial emotion. Such interpretations were recently called into question because facial cues of emotion are confounded with sexually dimorphic facial cues. Here we examine the role of visual cues and gender stereotypes in perceptions of biological motion displays, thus overcoming the morphological confounding inherent in facial displays. In four studies, participants' judgments revealed gender stereotyping. Observers accurately perceived emotion from biological motion displays (Study 1), and this affected sex categorizations. Angry displays were overwhelmingly judged to be men; sad displays were judged to be women (Studies 2-4). Moreover, this pattern remained strong when stimuli were equated for velocity (Study 3). We argue that these results were obtained because perceivers applied gender stereotypes of emotion to infer sex category (Study 4). Implications for both vision sciences and social psychology are discussed.

Published
2011
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6. Prefrontal cortical thinning links to negative symptoms in schizophrenia via the ENIGMA consortium

Author

Walton, E., Hibar, D. P., van Erp, T. G. M., Potkin, S. G., Roiz-Santiañez, R., Crespo-Facorro, B., Suarez-Pinilla, P., van Haren, N. E. M., de Zwarte, S. M. C., Kahn, R. S., Cahn, W., Doan, N. T., Jørgensen, K. N., Gurholt, T. P., Agartz, I., Andreassen, O. A., Westlye, L. T., Melle, I., Berg, A. O., Morch-Johnsen, L., Færden, A., Flyckt, L., Fatouros-Bergman, H., Jönsson, E. G., Hashimoto, R., Yamamori, H., Fukunaga, M., Jahanshad, N., De Rossi, P., Piras, F., Banaj, N., Spalletta, G., Gur, R. E., Gur, R. C., Wolf, D. H., Satterthwaite, T. D., Beard, L. M., Sommer, I. E., Koops, S., Gruber, O., Richter, A., Krämer, B., Kelly, S., Donohoe, G., McDonald, C., Cannon, D. M., Corvin, A., Gill, M., Di Giorgio, A., Bertolino, A., Lawrie, S., Nickson, T., Whalley, H. C., Neilson, E., Calhoun, V. D., Thompson, P. M., Turner, J. A., and Ehrlich, S.

Published
2018
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12. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium

Author

van Erp, T GM, Hibar, D P, Rasmussen, J M, Glahn, D C, Pearlson, G D, Andreassen, O A, Agartz, I, Westlye, L T, Haukvik, U K, Dale, A M, Melle, I, Hartberg, C B, Gruber, O, Kraemer, B, Zilles, D, Donohoe, G, Kelly, S, McDonald, C, Morris, D W, Cannon, D M, Corvin, A, Machielsen, M WJ, Koenders, L, de Haan, L, Veltman, D J, Satterthwaite, T D, Wolf, D H, Gur, R C, Gur, R E, Potkin, S G, Mathalon, D H, Mueller, B A, Preda, A, Macciardi, F, Ehrlich, S, Walton, E, Hass, J, Calhoun, V D, Bockholt, H J, Sponheim, S R, Shoemaker, J M, van Haren, N EM, Pol, H EH, Ophoff, R A, Kahn, R S, Roiz-Santiañez, R, Crespo-Facorro, B, Wang, L, Alpert, K I, Jönsson, E G, Dimitrova, R, Bois, C, Whalley, H C, McIntosh, A M, Lawrie, S M, Hashimoto, R, Thompson, P M, and Turner, J A

Published
2016
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14. White matter, cognition and psychotic-like experiences in UK Biobank.

Author

Bosma, M. J., Cox, S. R., Ziermans, T., Buchanan, C. R., Shen, X., Tucker-Drob, E. M., Adams, M. J., Whalley, H. C., and Lawrie, S. M.

Subjects
TISSUE banks, PSYCHOSES, SCHIZOPHRENIA, COGNITION, WHITE matter (Nerve tissue), EXPERIENCE, RISK assessment, RESEARCH funding, DESCRIPTIVE statistics, FACTOR analysis, PATH analysis (Statistics)
Abstract

Background: Psychotic-like experiences (PLEs) are risk factors for the development of psychiatric conditions like schizophrenia, particularly if associated with distress. As PLEs have been related to alterations in both white matter and cognition, we investigated whether cognition (g-factor and processing speed) mediates the relationship between white matter and PLEs. Methods: We investigated two independent samples (6170 and 19 891) from the UK Biobank, through path analysis. For both samples, measures of whole-brain fractional anisotropy (gFA) and mean diffusivity (gMD), as indications of white matter microstructure, were derived from probabilistic tractography. For the smaller sample, variables whole-brain white matter network efficiency and microstructure were also derived from structural connectome data. Results: The mediation of cognition on the relationships between white matter properties and PLEs was non-significant. However, lower gFA was associated with having PLEs in combination with distress in the full available sample (standardized β = −0.053, p = 0.011). Additionally, lower gFA/higher gMD was associated with lower g-factor (standardized β = 0.049, p < 0.001; standardized β = −0.027, p = 0.003), and partially mediated by processing speed with a proportion mediated of 7% (p = < 0.001) for gFA and 11% (p < 0.001) for gMD. Conclusions: We show that lower global white matter microstructure is associated with having PLEs in combination with distress, which suggests a direction of future research that could help clarify how and why individuals progress from subclinical to clinical psychotic symptoms. Furthermore, we replicated that processing speed mediates the relationship between white matter microstructure and g-factor. [ABSTRACT FROM AUTHOR]

Published
2023
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32. Polygenic risk score for schizophrenia and structural brain connectivity in older age: A longitudinal connectome and tractography study

Author

Alloza, C., Cox, S. R., Blesa Cábez, M., Redmond, P, Whalley, H C, Ritchie, S J, Muñoz Maniega, S, del C Valdés Hernández, M, Tucker-Drob, E M, Lawrie, S M, Wardlaw, J M, Deary, I J, and Bastin, M E

Subjects
Multifactorial Inheritance, longitudinal, Structural connectivity, Brain, White Matter, Article, schizophrenia, Ageing, Cross-Sectional Studies, Diffusion Tensor Imaging, ageing, Risk Factors, Schizophrenia, Longitudinal, Genetics, Connectome, Humans, structural connectivity, genetics, Longitudinal Studies, Nerve Net, Aged
Abstract

Higher polygenic risk score for schizophrenia (szPGRS) has been associated with lower cognitive function and might be a predictor of decline in brain structure in apparently healthy populations. Age-related declines in structural brain connectivity—measured using white matter diffusion MRI —are evident from cross-sectional data. Yet, it remains unclear how graph theoretical metrics of the structural connectome change over time, and whether szPGRS is associated with differences in ageing-related changes in human brain connectivity. Here, we studied a large, relatively healthy, same-year-of-birth, older age cohort over a period of 3 years (age ∼ 73 years, N = 731; age ∼76 years, N = 488). From their brain scans we derived tract-averaged fractional anisotropy (FA) and mean diffusivity (MD), and network topology properties. We investigated the cross-sectional and longitudinal associations between these structural brain variables and szPGRS. Higher szPGRS showed significant associations with longitudinal increases in MD in the splenium (β = 0.132, pFDR = 0.040), arcuate (β = 0.291, pFDR = 0.040), anterior thalamic radiations (β = 0.215, pFDR = 0.040) and cingulum (β = 0.165, pFDR = 0.040). Significant declines over time were observed in graph theory metrics for FA-weighted networks, such as mean edge weight (β = −0.039, pFDR = 0.048) and strength (β = −0.027, pFDR = 0.048). No significant associations were found between szPGRS and graph theory metrics. These results are consistent with the hypothesis that szPGRS confers risk for ageing-related degradation of some aspects of structural connectivity., Highlights • Large longitudinal MRI study of brain structure in narrow age range older age cohort. • Longitudinal changes occur in white matter tracts from age 73 to 76. • Graph theory metrics also showed longitudinal reductions over that period. • Microstructural changes in white matter correlate with changes in brain’s network. • Higher genetic risk for schizophrenia is associated with changes in brain structure.

Published
2018
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