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Your search keyword '"Craig, M.C."' showing total 4 results
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4 results on '"Craig, M.C."'

1. Emotion recognition profiles in clusters of youth based on levels of callous-unemotional traits and reactive and proactive aggression.

Author

Kleine Deters, R., Naaijen, J., Holz, N.E., Banaschewski, T., Schulze, U.M.E., Sethi, A., Craig, M.C., Sagar-Ouriaghli, I., Santosh, P., Rosa, M., Castro-Fornieles, J., Penzol, M.J., Arango, C., Brandeis, D., Franke, B., Glennon, J.C., Buitelaar, J.K., Hoekstra, P.J., Dietrich, A., Kleine Deters, R., Naaijen, J., Holz, N.E., Banaschewski, T., Schulze, U.M.E., Sethi, A., Craig, M.C., Sagar-Ouriaghli, I., Santosh, P., Rosa, M., Castro-Fornieles, J., Penzol, M.J., Arango, C., Brandeis, D., Franke, B., Glennon, J.C., Buitelaar, J.K., Hoekstra, P.J., and Dietrich, A.

Abstract

Contains fulltext : 299957.pdf (Publisher’s version ) (Open Access), Youth with disruptive behavior showing high callous-unemotional (CU) traits and proactive aggression are often assumed to exhibit distinct impairments in emotion recognition from those showing mainly reactive aggression. Yet, reactive and proactive aggression and CU traits may co-occur to varying degrees across individuals. We aimed to investigate emotion recognition in more homogeneous clusters based on these three dimensions. In a sample of 243 youth (149 with disruptive behavior problems and 94 controls) aged 8-18 years, we used model-based clustering on self-report measures of CU traits and reactive and proactive aggression and compared the resulting clusters on emotion recognition (accuracy and response bias) and working memory. In addition to a Low and Low-Moderate symptom cluster, we identified two high CU clusters. The CU-Reactive cluster showed high reactive and low-to-medium proactive aggression; the CU-Mixed cluster showed high reactive and proactive aggression. Both CU clusters showed impaired fear recognition and working memory, whereas the CU-Reactive cluster also showed impaired recognition of disgust and sadness, partly explained by poor working memory, as well as a response bias for anger and happiness. Our results confirm the importance of CU traits as a core dimension along which youth with disruptive behavior may be characterized, yet challenge the view that high CU traits are closely linked to high proactive aggression per se. Notably, distinct neurocognitive processes may play a role in youth with high CU traits and reactive aggression with lower versus higher proactive aggression., 01 december 2023

Published
2023

2. Rapid white matter changes in children with conduct problems during a parenting intervention

Author

O'Brien, S., Sethi, A., Blair, J., Viding, E., Beyh, A., Mehta, M.A., Dallyn, R., Ecker, C., Petrinovic, M.M., Doolan, M., Blackwood, N., Catani, M., Murphy, D.G.M., Scott, S., Craig, M.C., O'Brien, S., Sethi, A., Blair, J., Viding, E., Beyh, A., Mehta, M.A., Dallyn, R., Ecker, C., Petrinovic, M.M., Doolan, M., Blackwood, N., Catani, M., Murphy, D.G.M., Scott, S., and Craig, M.C.

Abstract

Contains fulltext : 299095.pdf (Publisher’s version ) (Open Access), Studies report that the microstructural integrity of the uncinate fasciculus (UF; connecting the anterior temporal lobe to the orbitofrontal cortex) is abnormal in adults with psychopathy and children with conduct problems (CP), especially those with high callous-unemotional (CU) traits. However, it is unknown if these abnormalities are 'fixed' or 'reversible'. Therefore, we tested the hypothesis that a reduction in CP symptoms, following a parenting intervention, would be associated with altered microstructural integrity in the UF. Using diffusion tensor imaging tractography we studied microstructural differences (mean diffusivity (MD) and radial diffusivity (RD)) in the UF of 43 typically developing (TD) and 67 boys with CP before and after a 14-week parenting intervention. We also assessed whether clinical response in CP symptoms or CU traits explained changes in microstructure following the intervention. Prior to intervention, measures of MD and RD in the UF were increased in CP compared to TD boys. Following intervention, we found that the CP group had a significant reduction in RD and MD. Further, these microstructural changes were driven by the group of children whose CU traits improved (but not CP symptoms as hypothesized). No significant microstructural changes were observed in the TD group. Our findings suggest, for the first time, that microstructural abnormalities in the brains of children with CP may be reversible following parenting intervention., 9 p.

Published
2023

3. Subgrouping children and adolescents with disruptive behaviors: symptom profiles and the role of callous-unemotional traits

Author

Rosa-Justicia, M., Saam, M.C., Flamarique, I., Borràs, R., Naaijen, J., Dietrich, A., Hoekstra, P.J., Banaschewski, T., Aggensteiner, P., Craig, M.C., Sethi, A., Santosh, P., Sagar-Ouriaghli, I., Arango, C., Penzol, M.J., Brandeis, D., Werhahn, J.E., Glennon, J.C., Franke, B., Zwiers, M.P., Buitelaar, J.K., Schulze, U.M.E., Castro-Fornieles, J., Rosa-Justicia, M., Saam, M.C., Flamarique, I., Borràs, R., Naaijen, J., Dietrich, A., Hoekstra, P.J., Banaschewski, T., Aggensteiner, P., Craig, M.C., Sethi, A., Santosh, P., Sagar-Ouriaghli, I., Arango, C., Penzol, M.J., Brandeis, D., Werhahn, J.E., Glennon, J.C., Franke, B., Zwiers, M.P., Buitelaar, J.K., Schulze, U.M.E., and Castro-Fornieles, J.

Abstract

Item does not contain fulltext, Disruptive behavior during childhood and adolescence is heterogeneous and associated with several psychiatric disorders. The identification of more homogeneous subgroups might help identify different underlying pathways and tailor treatment strategies. Children and adolescents (aged 8-18) with disruptive behaviors (N = 121) and healthy controls (N = 100) were included in a European multi-center cognition and brain imaging study. They were assessed via a battery of standardized semi-structured interviews and questionnaires. K-means cluster-model analysis was carried out to identify subgroups within the group with disruptive behaviors, based on clinical symptom profiles, callous-unemotional (CU) traits, and proactive and reactive aggression. The resulting subgroups were then compared to healthy controls with regard to these clinical variables. Three distinct subgroups were found within the group with disruptive behaviors. The High CU Traits subgroup presented elevated scores for CU traits, proactive aggression and conduct disorder (CD) symptoms, as well as a higher proportion of comorbidities (CD + oppositional defiant disorder + attention deficit hyperactivity disorder (ADHD). The ADHD and Affective Dysregulation subgroup showed elevated scores for internalizing and ADHD symptoms, as well as a higher proportion of females. The Low Severity subgroup had relatively low levels of psychopathology and aggressive behavior compared to the other two subgroups. The High CU Traits subgroup displayed more antisocial behaviors than the Low Severity subgroup, but did not differ when compared to the ADHD and Affective Dysregulation subgroup. All three subgroups differed significantly from the healthy controls in all the variables analyzed. The present study extends previous findings on subgrouping children and adolescents with disruptive behaviors using a multidimensional approach and describes levels of anxiety, affective problems, ADHD, proactive aggression and CU traits as key

Published
2022

4. Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs

Author

Sønderby, I.E., Ching, CRK, Thomopoulos, S.I., van der Meer, D., Sun, D., Villalon-Reina, J.E., Agartz, I., Amunts, K., Arango, C., Armstrong, N.J., Ayesa-Arriola, R., Bakker, G., Bassett, A.S., Boomsma, D.I., Bülow, R., Butcher, N.J., Calhoun, V.D., Caspers, S., Chow, EWC, Cichon, S., Ciufolini, S., Craig, M.C., Crespo-Facorro, B., Cunningham, A.C., Dale, A.M., Dazzan, P., de Zubicaray, G.I., Djurovic, S., Doherty, J.L., Donohoe, G., Draganski, B., Durdle, C.A., Ehrlich, S., Emanuel, B.S., Espeseth, T., Fisher, S.E., Ge, T., Glahn, D.C., Grabe, H.J., Gur, R.E., Gutman, B.A., Haavik, J., Håberg, A.K., Hansen, L.A., Hashimoto, R., Hibar, D.P., Holmes, A.J., Hottenga, J.J., Hulshoff Pol, H.E., Jalbrzikowski, M., Knowles, EEM, Kushan, L., Linden, DEJ, Liu, J., Lundervold, A.J., Martin-Brevet, S., Martínez, K., Mather, K.A., Mathias, S.R., McDonald-McGinn, D.M., McRae, A.F., Medland, S.E., Moberget, T., Modenato, C., Monereo Sánchez, J., Moreau, C.A., Mühleisen, T.W., Paus, T., Pausova, Z., Prieto, C., Ragothaman, A., Reinbold, C.S., Reis Marques, T., Repetto, G.M., Reymond, A., Roalf, D.R., Rodriguez-Herreros, B., Rucker, J.J., Sachdev, P.S., Schmitt, J.E., Schofield, P.R., Silva, A.I., Stefansson, H., Stein, D.J., Tamnes, C.K., Tordesillas-Gutiérrez, D., Ulfarsson, M.O., Vajdi, A., van 't Ent, D., van den Bree, MBM, Vassos, E., Vázquez-Bourgon, J., Vila-Rodriguez, F., Walters, G.B., Wen, W., Westlye, L.T., Wittfeld, K., Zackai, E.H., Stefánsson, K., Jacquemont, S., Thompson, P.M., Bearden, C.E., Andreassen, O.A., ENIGMA-CNV Working Group, ENIGMA 22q11.2 Deletion Syndrome Working Group, Bernard, M., Blackburn, N.B., Bøen, R., de Geus, E., de Zwarte, SMC, Forti, M.D., Frei, O., Fukunaga, M., Hehir-Kwa, J.Y., Hillegers, MHJ, Hoffmann, P., Homuth, G., Jahanshad, N., Koops, S., Kumar, K., Kikuchi, M., Le Hellard, S., Leu, C., Murray, R.M., Naerland, T., Nyberg, L., Ophoff, R.A., Pike, G.B., Sando, S.B., Shin, J., Shumskaya, E., Sisodiya, S.M., Steen, V.M., Teumer, A., Uhlmann, A., Wright, M.J., Antshel, K.M., Campbell, L.E., Crossley, N.A., Crowley, T.B., Daly, E., Fiksinski, A.M., Forsyth, J.K., Fremont, W., Goodrich-Hunsaker, N.J., Gudbrandsen, M., Jonas, R.K., Kates, W.R., Lin, A., McCabe, K.L., Moss, H., Murphy, D.G., Murphy, K.C., Owen, M.J., Ruparel, K., Simon, T.J., van Amelsvoort, T., and Vorstman, JAS

Subjects
brain structural imaging, copy number variant, diffusion tensor imaging, evolution, genetics-first approach, neurodevelopmental disorders, psychiatric disorders
Abstract

The Enhancing NeuroImaging Genetics through Meta-Analysis copy number variant (ENIGMA-CNV) and 22q11.2 Deletion Syndrome Working Groups (22q-ENIGMA WGs) were created to gain insight into the involvement of genetic factors in human brain development and related cognitive, psychiatric and behavioral manifestations. To that end, the ENIGMA-CNV WG has collated CNV and magnetic resonance imaging (MRI) data from ~49,000 individuals across 38 global research sites, yielding one of the largest studies to date on the effects of CNVs on brain structures in the general population. The 22q-ENIGMA WG includes 12 international research centers that assessed over 533 individuals with a confirmed 22q11.2 deletion syndrome, 40 with 22q11.2 duplications, and 333 typically developing controls, creating the largest-ever 22q11.2 CNV neuroimaging data set. In this review, we outline the ENIGMA infrastructure and procedures for multi-site analysis of CNVs and MRI data. So far, ENIGMA has identified effects of the 22q11.2, 16p11.2 distal, 15q11.2, and 1q21.1 distal CNVs on subcortical and cortical brain structures. Each CNV is associated with differences in cognitive, neurodevelopmental and neuropsychiatric traits, with characteristic patterns of brain structural abnormalities. Evidence of gene-dosage effects on distinct brain regions also emerged, providing further insight into genotype-phenotype relationships. Taken together, these results offer a more comprehensive picture of molecular mechanisms involved in typical and atypical brain development. This "genotype-first" approach also contributes to our understanding of the etiopathogenesis of brain disorders. Finally, we outline future directions to better understand effects of CNVs on brain structure and behavior.

Published
2022

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