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Dr. Daan van Rooij
Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, 6525 HB Nijmegen, The Netherlands.

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Journal article
Published: 15 May 2021 in Progress in Neuro-Psychopharmacology and Biological Psychiatry
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Serotonin (5-HT) is an important factor for prenatal neurodevelopment whereby its neurotrophic actions can be regulated through maternal-fetal interactions. We explored if maternal 5-HTTLPR genotype is associated with clinical and cognitive measures of attention-deficit/hyperactivity disorder (ADHD) and comorbid autism spectrum disorder (ASD) in typically-developing and ADHD-diagnosed offspring, beyond classical inheritance and environmental- and comorbidity-mediators/confounders. Family-based variance decomposition analyses were performed incorporating 6–31 year-old offsprings' as well as parental genotypes of 462 ADHD and control families from the NeuroIMAGE cohort. Dependent measures were offsprings' ADHD symptom- and ASD trait-scores and cognitive measures including executive functioning (including response inhibition and cognitive flexibility), sustained attention, reward processing, motor control, and emotion recognition. Offsprings' stereotyped behavior was predicted by an interaction between maternal 5-HTTLPR genotype and offsprings' sex. Furthermore, offspring of mothers with low-expressing genotypes demonstrated larger reward-related reductions in reaction time. While specifically adult male offspring of these mothers reported a faster reversal learning with less errors, specifically young female offspring of these mothers were more accurate in identifying happy faces. Adult offspring from the mothers with low-expressing 5-HTTLPR genotypes were also slower in identifying happy faces. However, this association seemed to be mediated by offsprings' high anxiety levels. In sum, we found some support for a role of the maternal 5-HT system in modulating fetal brain development and behavior. Offsprings' cognitive measures might be more sensitive to small alterations within the maternal 5-HT system than their ADHD and ASD clinical phenotypes. Further studies are needed to specify the association between maternal genotype and risk for neurodevelopmental disorders.

ACS Style

Sabrina I. Hanswijk; Daan van Rooij; Jaap Oosterlaan; Marjolein Luman; Pieter J. Hoekstra; Catharina A. Hartman; Barbara Franke; Emma Sprooten; Judith R. Homberg; Jan K. Buitelaar. Maternal serotonin transporter genotype and offsprings' clinical and cognitive measures of ADHD and ASD. Progress in Neuro-Psychopharmacology and Biological Psychiatry 2021, 110, 110354 .

AMA Style

Sabrina I. Hanswijk, Daan van Rooij, Jaap Oosterlaan, Marjolein Luman, Pieter J. Hoekstra, Catharina A. Hartman, Barbara Franke, Emma Sprooten, Judith R. Homberg, Jan K. Buitelaar. Maternal serotonin transporter genotype and offsprings' clinical and cognitive measures of ADHD and ASD. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 2021; 110 ():110354.

Chicago/Turabian Style

Sabrina I. Hanswijk; Daan van Rooij; Jaap Oosterlaan; Marjolein Luman; Pieter J. Hoekstra; Catharina A. Hartman; Barbara Franke; Emma Sprooten; Judith R. Homberg; Jan K. Buitelaar. 2021. "Maternal serotonin transporter genotype and offsprings' clinical and cognitive measures of ADHD and ASD." Progress in Neuro-Psychopharmacology and Biological Psychiatry 110, no. : 110354.

Journal article
Published: 11 May 2021 in Nutrients
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Disinhibition is a prominent feature of multiple psychiatric disorders, and has been associated with poor long-term somatic outcomes. Modifiable lifestyle factors including diet and moderate-to-vigorous physical activity (MVPA) may be associated with disinhibition, but their contributions have not previously been quantified among middle-aged/older adults. Here, among N = 157,354 UK Biobank participants aged 40–69, we extracted a single disinhibition principal component and four dietary components (prudent diet, elimination of wheat/dairy/eggs, meat consumption, full-cream dairy consumption). In addition, latent profile analysis assigned participants to one of five empirical dietary groups: prudent-moderate, unhealthy, restricted, meat-avoiding, low-fat dairy. Disinhibition was regressed on the four dietary components, the dietary grouping variable, and self-reported MVPA. In men and women, disinhibition was negatively associated with prudent diet, and positively associated with wheat/dairy/eggs elimination. In men, disinhibition was also associated with consumption of meat and full-cream dairy products. Comparing groups, disinhibition was lower in the prudent-moderate diet (reference) group compared to all other groups. Absolute βs ranged from 0.02–0.13, indicating very weak effects. Disinhibition was not associated with MVPA. In conclusion, disinhibition is associated with multiple features of diet among middle-aged/older adults. Our findings foster specific hypotheses (e.g., early malnutrition, elevated immune-response) to be tested in alternative study designs.

ACS Style

Lizanne Schweren; Daan van Rooij; Huiqing Shi; Henrik Larsson; Alejandro Arias-Vasquez; Lin Li; Liv Grimstvedt Kvalvik; Jan Haavik; Jan Buitelaar; Catharina Hartman. Diet, Physical Activity, and Disinhibition in Middle-Aged and Older Adults: A UK Biobank Study. Nutrients 2021, 13, 1607 .

AMA Style

Lizanne Schweren, Daan van Rooij, Huiqing Shi, Henrik Larsson, Alejandro Arias-Vasquez, Lin Li, Liv Grimstvedt Kvalvik, Jan Haavik, Jan Buitelaar, Catharina Hartman. Diet, Physical Activity, and Disinhibition in Middle-Aged and Older Adults: A UK Biobank Study. Nutrients. 2021; 13 (5):1607.

Chicago/Turabian Style

Lizanne Schweren; Daan van Rooij; Huiqing Shi; Henrik Larsson; Alejandro Arias-Vasquez; Lin Li; Liv Grimstvedt Kvalvik; Jan Haavik; Jan Buitelaar; Catharina Hartman. 2021. "Diet, Physical Activity, and Disinhibition in Middle-Aged and Older Adults: A UK Biobank Study." Nutrients 13, no. 5: 1607.

Preprint content
Published: 07 December 2020
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Background and aims: Behavioural disinhibition is a prominent feature of multiple psychiatric disorders, and has been associated with poor long-term somatic health outcomes. Modifiable lifestyle factors including diet and moderate-to-vigorous physical activity (MVPA) may be associated with behavioural disinhibition, but their shared and unique contributions have not previously been quantified. Methods: N=157,354 UK Biobank participants who completed the online mental health assessment were included (age 40-69, 2006-2010). Using principal component analyses, we extracted a single disinhibition score and four dietary component scores (prudent diet, elimination of wheat/dairy/eggs, meat consumption, full-cream dairy consumption). In addition, latent profile analysis assigned participants to one of five empirical dietary groups: moderate-healthy, unhealthy, restricted, meat-avoiding, low-fat dairy. Participants self-reported MVPA in minutes/week. Disinhibition was regressed on the four dietary components, the dietary grouping variable and MVPA. Results: In men and women, behavioural disinhibition was negatively associated with prudent diet scores, and positively associated with wheat/dairy/eggs elimination. In men only, disinhibition was associated with consumption of meat and full-cream dairy products. Comparing groups, disinhibition was lower in the moderate-and-prudent diet (reference) group compared to all other groups. Absolute βs ranged from 0.02-0.13 indicating very weak effects. Disinhibition was not associated with MVPA. Conclusions: Among middle-aged and older adults, behavioural disinhibition is associated with multiple features of diet. While the observational nature of UK Biobank does not allow causal inference, our findings foster specific hypotheses (e.g. early malnutrition, elevated immune-response, dietary restraint) to be tested in alternative study designs.

ACS Style

Lizanne Schweren; Daan Van Rooij; Huiqing Shi; Alejandro Arias-Vasquez; Lin Li; Henrik Larsson; Liv Grimstvedt-Kvalvik; Jan Haavik; Jan Buitelaar; Catharina Hartman. Diet, physical activity and behavioural disinhibition in middle-aged and older adults: a UK Biobank study. 2020, 1 .

AMA Style

Lizanne Schweren, Daan Van Rooij, Huiqing Shi, Alejandro Arias-Vasquez, Lin Li, Henrik Larsson, Liv Grimstvedt-Kvalvik, Jan Haavik, Jan Buitelaar, Catharina Hartman. Diet, physical activity and behavioural disinhibition in middle-aged and older adults: a UK Biobank study. . 2020; ():1.

Chicago/Turabian Style

Lizanne Schweren; Daan Van Rooij; Huiqing Shi; Alejandro Arias-Vasquez; Lin Li; Henrik Larsson; Liv Grimstvedt-Kvalvik; Jan Haavik; Jan Buitelaar; Catharina Hartman. 2020. "Diet, physical activity and behavioural disinhibition in middle-aged and older adults: a UK Biobank study." , no. : 1.

Preprint content
Published: 09 September 2020
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Structural brain alterations found in Autism Spectrum Disorder (ASD) have previously been very heterogeneous, with overall limited effect sizes for every region implicated. In this study, we aimed at exploring the existence of subgroups in ASD, based on neuroanatomic profiles; we hypothesized that effect sizes of case/control difference would be increased in defined subgroups. Using the dataset from the ENIGMA-ASD Working Group (n=2661), exploratory factor analysis (EFA) was applied on seven subcortical volumes of individuals with ASD and controls to uncover the underlying organization of subcortical structures. Based on earlier findings in ADHD patients and controls as well as data availability, we focused on three age groups: boys (aged 4-14 years), male adolescents (aged 14-22 years), and adult men (aged >=22 years). The resulting factor scores were used in a community detection (CD) analysis, to cluster participants into subgroups. Three factors were found in each sample, with the factor structure in adult men differing from that in boys and male adolescents. From the patterns in these factors, CD uncovered four distinct communities in boys and three communities in adolescents and adult men, irrespective of ASD diagnostic status. The effect sizes of case/control comparisons appeared more pronounced than in the whole sample in some communities. Based on subcortical volumes, we succeeded in stratifying our participants into more homogeneous subgroups with similar brain structural patterns. The stratification enhanced our ability to observe case/control differences of subcortical brain volumes in ASD, and may help explain some of the heterogeneity of previous findings in ASD.

ACS Style

Ting Li; Martine Hoogman; Nina Roth Mota; Jan K. Buitelaar; Alejandro Arias Vasquez; Barbara Franke; Daan Van Rooij; the ENIGMA-ASD working group. Dissecting the heterogeneous subcortical brain volume of Autism spectrum disorder (ASD) using community detection. 2020, 1 .

AMA Style

Ting Li, Martine Hoogman, Nina Roth Mota, Jan K. Buitelaar, Alejandro Arias Vasquez, Barbara Franke, Daan Van Rooij, the ENIGMA-ASD working group. Dissecting the heterogeneous subcortical brain volume of Autism spectrum disorder (ASD) using community detection. . 2020; ():1.

Chicago/Turabian Style

Ting Li; Martine Hoogman; Nina Roth Mota; Jan K. Buitelaar; Alejandro Arias Vasquez; Barbara Franke; Daan Van Rooij; the ENIGMA-ASD working group. 2020. "Dissecting the heterogeneous subcortical brain volume of Autism spectrum disorder (ASD) using community detection." , no. : 1.

Preprint content
Published: 08 December 2019
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Background Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder in children and adults. Neuroanatomic heterogeneity limits our understanding of the etiology of ADHD. This study aimed to parse neuroanatomic heterogeneity of ADHD, and to determine whether subgroups could be discerned in patients based on subcortical volumes. Methods Using the dataset from the ENIGMA-ADHD Working Group, we applied exploratory factor analysis (EFA) to subcortical volumes of 993 boys with and without ADHD, and to subsamples of 653 adult men, 400 girls, and 447 women. Factor scores derived from the EFA were used to build networks. A community detection (CD) algorithm clustered participants into subgroups based on the networks. Results Three factors (basal ganglia, limbic system, and thalamus) were found in boys and men with and without ADHD. The factor structures for girls and women differed from those in males. Given sample size considerations, we concentrated subsequent analyses on males. Male participants could be separated into four communities, though Community 3 was absent in healthy men. Significantly case-control differences of subcortical volumes were observed within communities in boys with increased effect sizes, but not in men. While we found no significant differences in ADHD symptom severity between communities in boys or men; affected men in Community 1 and 4 presented comorbidities more frequently than those in other communities. Conclusion Our results indicate that neuroanatomic heterogeneity in subcortical volumes exists, irrespective of ADHD diagnosis. Effect sizes of case-control differences appear more pronounced at least in some of the subgroups.

ACS Style

Ting Li; Daan van Rooij; Nina Roth Mota; Jan K. Buitelaar; Martine Hoogman; Alejandro Arias Vasquez; Barbara Franke; the ENIGMA ADHD Working Group. Characterizing neuroanatomic heterogeneity in people with and without ADHD based on subcortical brain volumes. 2019, 868414 .

AMA Style

Ting Li, Daan van Rooij, Nina Roth Mota, Jan K. Buitelaar, Martine Hoogman, Alejandro Arias Vasquez, Barbara Franke, the ENIGMA ADHD Working Group. Characterizing neuroanatomic heterogeneity in people with and without ADHD based on subcortical brain volumes. . 2019; ():868414.

Chicago/Turabian Style

Ting Li; Daan van Rooij; Nina Roth Mota; Jan K. Buitelaar; Martine Hoogman; Alejandro Arias Vasquez; Barbara Franke; the ENIGMA ADHD Working Group. 2019. "Characterizing neuroanatomic heterogeneity in people with and without ADHD based on subcortical brain volumes." , no. : 868414.

Preprint content
Published: 21 October 2019
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Brainstem regions support critical bodily functions, yet their genetic architectures and involvement in brain disorders remain understudied. Here, we examined volumes of brainstem structures using magnetic resonance imaging in 43,353 individuals. In 27,034 genotyped healthy participants, we identified 16 genetic loci associated with whole brainstem volume and 10, 23, 3, and 9 loci associated with volumes of the midbrain, pons, superior cerebellar peduncle, and medulla oblongata, respectively. These loci were mapped to 305 genes, including genes linked to brainstem development and common brain disorders. We detected genetic overlap between the brainstem volumes and eight psychiatric and neurological disorders. Using imaging data from 16,319 additional individuals, we observed differential volume alterations in schizophrenia, bipolar disorder, multiple sclerosis, mild cognitive impairment, dementia, and Parkinson’s disease. Together, our results provide new insights into the genetic underpinnings of brainstem structures and support their involvement in common brain disorders.

ACS Style

Torbjørn Elvsåshagen; Shahram Bahrami; Dennis Van Der Meer; Ingrid Agartz; Dag Alnaes; Deanna M. Barch; Ramona Baur-Streubel; Alessandro Bertolino; Mona K. Beyer; Giuseppe Blasi; Stefan Borgwardt; Birgitte Boye; Jan Buitelaar; Erlend Bøen; Elisabeth Gulowsen Celius; Simon Cervenka; Annette Conzelmann; David Coynel; Pasquale Di Carlo; Srdjan Djurovic; Sarah Eisenacher; Thomas Espeseth; Helena Fatouros-Bergman; Lena Flyckt; Barbara Franke; Oleksandr Frei; Barbara Gelao; Hanne Flinstad Harbo; Catharina A. Hartman; Asta Håberg; Dirk Heslenfeld; Pieter Hoekstra; Einar August Hogestol; Rune Jonassen; Erik G. Jönsson; Peter Kirsch; Iwona Kłoszewska; Trine Vik Lagerberg; Nils Inge Landrø; Stephanie Le Hellard; Klaus-Peter Lesch; Luigi A. Maglanoc; Ulrik F. Malt; Patrizia Mecocci; Ingrid Melle; Andreas Meyer-Lindenberg; Torgeir Moberget; Jan Egil Nordvik; Lars Nyberg; Kevin S. O’Connell; Jaap Oosterlaan; Marco Papalino; Andreas Papassotiropoulos; Paul Pauli; Giulio Pergola; Karin Persson; Dominique De Quervain; Andreas Reif; Jarek Rokicki; Daan Van Rooij; Alexey A. Shadrin; André Schmidt; Emanuel Schwarz; Geir Selbaek; Hilkka Soininen; Piotr Sowa; Vidar M. Steen; Magda Tsolaki; Bruno Vellas; Lei Wang; Eric Westman; Georg Ziegler; Mathias Zink; Ole A. Andreassen; Lars T. Westlye; Tobias Kaufmann; Karolinska Schizophrenia Project (KaSP) Consortium. The genetic architecture of human brainstem structures and their involvement in common brain disorders. 2019, 811711 .

AMA Style

Torbjørn Elvsåshagen, Shahram Bahrami, Dennis Van Der Meer, Ingrid Agartz, Dag Alnaes, Deanna M. Barch, Ramona Baur-Streubel, Alessandro Bertolino, Mona K. Beyer, Giuseppe Blasi, Stefan Borgwardt, Birgitte Boye, Jan Buitelaar, Erlend Bøen, Elisabeth Gulowsen Celius, Simon Cervenka, Annette Conzelmann, David Coynel, Pasquale Di Carlo, Srdjan Djurovic, Sarah Eisenacher, Thomas Espeseth, Helena Fatouros-Bergman, Lena Flyckt, Barbara Franke, Oleksandr Frei, Barbara Gelao, Hanne Flinstad Harbo, Catharina A. Hartman, Asta Håberg, Dirk Heslenfeld, Pieter Hoekstra, Einar August Hogestol, Rune Jonassen, Erik G. Jönsson, Peter Kirsch, Iwona Kłoszewska, Trine Vik Lagerberg, Nils Inge Landrø, Stephanie Le Hellard, Klaus-Peter Lesch, Luigi A. Maglanoc, Ulrik F. Malt, Patrizia Mecocci, Ingrid Melle, Andreas Meyer-Lindenberg, Torgeir Moberget, Jan Egil Nordvik, Lars Nyberg, Kevin S. O’Connell, Jaap Oosterlaan, Marco Papalino, Andreas Papassotiropoulos, Paul Pauli, Giulio Pergola, Karin Persson, Dominique De Quervain, Andreas Reif, Jarek Rokicki, Daan Van Rooij, Alexey A. Shadrin, André Schmidt, Emanuel Schwarz, Geir Selbaek, Hilkka Soininen, Piotr Sowa, Vidar M. Steen, Magda Tsolaki, Bruno Vellas, Lei Wang, Eric Westman, Georg Ziegler, Mathias Zink, Ole A. Andreassen, Lars T. Westlye, Tobias Kaufmann, Karolinska Schizophrenia Project (KaSP) Consortium. The genetic architecture of human brainstem structures and their involvement in common brain disorders. . 2019; ():811711.

Chicago/Turabian Style

Torbjørn Elvsåshagen; Shahram Bahrami; Dennis Van Der Meer; Ingrid Agartz; Dag Alnaes; Deanna M. Barch; Ramona Baur-Streubel; Alessandro Bertolino; Mona K. Beyer; Giuseppe Blasi; Stefan Borgwardt; Birgitte Boye; Jan Buitelaar; Erlend Bøen; Elisabeth Gulowsen Celius; Simon Cervenka; Annette Conzelmann; David Coynel; Pasquale Di Carlo; Srdjan Djurovic; Sarah Eisenacher; Thomas Espeseth; Helena Fatouros-Bergman; Lena Flyckt; Barbara Franke; Oleksandr Frei; Barbara Gelao; Hanne Flinstad Harbo; Catharina A. Hartman; Asta Håberg; Dirk Heslenfeld; Pieter Hoekstra; Einar August Hogestol; Rune Jonassen; Erik G. Jönsson; Peter Kirsch; Iwona Kłoszewska; Trine Vik Lagerberg; Nils Inge Landrø; Stephanie Le Hellard; Klaus-Peter Lesch; Luigi A. Maglanoc; Ulrik F. Malt; Patrizia Mecocci; Ingrid Melle; Andreas Meyer-Lindenberg; Torgeir Moberget; Jan Egil Nordvik; Lars Nyberg; Kevin S. O’Connell; Jaap Oosterlaan; Marco Papalino; Andreas Papassotiropoulos; Paul Pauli; Giulio Pergola; Karin Persson; Dominique De Quervain; Andreas Reif; Jarek Rokicki; Daan Van Rooij; Alexey A. Shadrin; André Schmidt; Emanuel Schwarz; Geir Selbaek; Hilkka Soininen; Piotr Sowa; Vidar M. Steen; Magda Tsolaki; Bruno Vellas; Lei Wang; Eric Westman; Georg Ziegler; Mathias Zink; Ole A. Andreassen; Lars T. Westlye; Tobias Kaufmann; Karolinska Schizophrenia Project (KaSP) Consortium. 2019. "The genetic architecture of human brainstem structures and their involvement in common brain disorders." , no. : 811711.

Preprint
Published: 17 October 2019
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BackgroundGenomewide association studies have found significant genetic correlations among many neuropsychiatric disorders. In contrast, we know much less about the degree to which structural brain alterations are similar among disorders and, if so, the degree to which such similarities have a genetic etiology.MethodsFrom the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) consortium, we acquired standardized mean differences (SMDs) in regional brain volume and cortical thickness between cases and controls. We had data on 41 brain regions for: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), epilepsy, major depressive disorder (MDD), obsessive compulsive disorder (OCD) and schizophrenia (SCZ). These data had been derived from 24,360 patients and 37,425 controls.ResultsThe SMDs were significantly correlated between SCZ and BD, OCD, MDD, and ASD. MDD was positively correlated with BD and OCD. BD was positively correlated with OCD and negatively correlated with ADHD. These pairwise correlations among disorders were correlated with the corresponding pairwise correlations among disorders derived from genomewide association studies (r = 0.49).ConclusionsOur results show substantial similarities in sMRI phenotypes among neuropsychiatric disorders and suggest that these similarities are accounted for, in part, by corresponding similarities in common genetic variant architectures.

ACS Style

Nevena V. Radonjic; Jonathan L. Hess; Paula Rovira; Ole Andreassen; Jan K. Buitelaar; Christopher R. K. Ching; Barbara Franke; Martine Hoogman; Neda Jahanshad; Carrie McDonald; Lianne Schmaal; Sanjay M. Sisodiya; Dan J. Stein; Odile A. Van Den Heuvel; Theo G.M. Van Erp; Daan Van Rooij; Dick J. Veltman; Paul Thompson; Stephen V. Faraone. Structural Brain Imaging Studies Offer Clues about the Effects of the Shared Genetic Etiology among Neuropsychiatric Disorders. 2019, 809582 .

AMA Style

Nevena V. Radonjic, Jonathan L. Hess, Paula Rovira, Ole Andreassen, Jan K. Buitelaar, Christopher R. K. Ching, Barbara Franke, Martine Hoogman, Neda Jahanshad, Carrie McDonald, Lianne Schmaal, Sanjay M. Sisodiya, Dan J. Stein, Odile A. Van Den Heuvel, Theo G.M. Van Erp, Daan Van Rooij, Dick J. Veltman, Paul Thompson, Stephen V. Faraone. Structural Brain Imaging Studies Offer Clues about the Effects of the Shared Genetic Etiology among Neuropsychiatric Disorders. . 2019; ():809582.

Chicago/Turabian Style

Nevena V. Radonjic; Jonathan L. Hess; Paula Rovira; Ole Andreassen; Jan K. Buitelaar; Christopher R. K. Ching; Barbara Franke; Martine Hoogman; Neda Jahanshad; Carrie McDonald; Lianne Schmaal; Sanjay M. Sisodiya; Dan J. Stein; Odile A. Van Den Heuvel; Theo G.M. Van Erp; Daan Van Rooij; Dick J. Veltman; Paul Thompson; Stephen V. Faraone. 2019. "Structural Brain Imaging Studies Offer Clues about the Effects of the Shared Genetic Etiology among Neuropsychiatric Disorders." , no. : 809582.

Preprint content
Published: 30 September 2019
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BackgroundAttention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by age-inappropriate levels of inattention and/or hyperactivity-impulsivity (HI). ADHD has been related to differences in white matter (WM) microstructure. However, much remains unclear regarding the nature of these WM differences, and which clinical aspects of ADHD they reflect. We systematically investigated if FA is associated with current and/or lifetime categorical diagnosis, impairment in daily life, and continuous ADHD symptom measures.MethodsDiffusion-weighted imaging (DWI) data were obtained from 654 participants (322 unaffected, 258 affected, 74 subthreshold; 7-29 years of age). We applied automated global probabilistic tractography on 18 major WM pathways. Linear mixed effects regression models were used to examine associations of clinical measures with overall brain and tract-specific fractional anisotropy (FA).ResultsThere were significant interactions of tract with all ADHD variables on FA. There were no significant associations of FA with current or lifetime diagnosis, nor with impairment. Lower FA in the right cingulum’s angular bundle (rCAB) was associated with higher hyperactivity/impulsivity symptom severity (PFWE=0.045). There were no significant effects for other tracts.ConclusionsThis is the first time global probabilistic tractography has been applied to an ADHD dataset of this size. We found no evidence for altered FA in association with ADHD diagnosis. Our findings indicate that associations of FA with ADHD are not uniformly distributed across WM tracts. Continuous symptom measures of ADHD may be more sensitive to FA than diagnostic categories. The rCAB in particular may play a role in symptoms of hyperactivity and impulsivity.

ACS Style

Christienne G. Damatac; Roselyne J. M. Chauvin; Marcel P. Zwiers; Daan Van Rooij; Sophie E. A. Akkermans; Jilly Naaijen; Pieter J. Hoekstra; Catharina A. Hartman; Jaap Oosterlaan; Barbara Franke; Jan K. Buitelaar; Christian F. Beckmann; Emma Sprooten. White matter microstructure in attention-deficit/hyperactivity disorder: a systematic tractography study in 654 individuals. 2019, 787713 .

AMA Style

Christienne G. Damatac, Roselyne J. M. Chauvin, Marcel P. Zwiers, Daan Van Rooij, Sophie E. A. Akkermans, Jilly Naaijen, Pieter J. Hoekstra, Catharina A. Hartman, Jaap Oosterlaan, Barbara Franke, Jan K. Buitelaar, Christian F. Beckmann, Emma Sprooten. White matter microstructure in attention-deficit/hyperactivity disorder: a systematic tractography study in 654 individuals. . 2019; ():787713.

Chicago/Turabian Style

Christienne G. Damatac; Roselyne J. M. Chauvin; Marcel P. Zwiers; Daan Van Rooij; Sophie E. A. Akkermans; Jilly Naaijen; Pieter J. Hoekstra; Catharina A. Hartman; Jaap Oosterlaan; Barbara Franke; Jan K. Buitelaar; Christian F. Beckmann; Emma Sprooten. 2019. "White matter microstructure in attention-deficit/hyperactivity disorder: a systematic tractography study in 654 individuals." , no. : 787713.

Preprint content
Published: 18 June 2019
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ObjectiveAttention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive-compulsive disorder (OCD) are common neurodevelopmental disorders that frequently co-occur. We aimed to directly compare all three disorders. The ENIGMA consortium is ideally positioned to investigate structural brain alterations across these disorders.MethodsStructural T1-weighted whole-brain MRI of controls (n=5,827) and patients with ADHD (n=2,271), ASD (n=1,777), and OCD (n=2,323) from 151 cohorts worldwide were analyzed using standardized processing protocols. We examined subcortical volume, cortical thickness and surface area differences within a mega-analytical framework, pooling measures extracted from each cohort. Analyses were performed separately for children, adolescents, and adults using linear mixed-effects models adjusting for age, sex and site (and ICV for subcortical and surface area measures).ResultsWe found no shared alterations among all three disorders, while shared alterations between any two disorders did not survive multiple comparisons correction. Children with ADHD compared to those with OCD had smaller hippocampal volumes, possibly influenced by IQ. Children and adolescents with ADHD also had smaller ICV than controls and those with OCD or ASD. Adults with ASD showed thicker frontal cortices compared to adult controls and other clinical groups. No OCD-specific alterations across different age-groups and surface area alterations among all disorders in childhood and adulthood were observed.ConclusionOur findings suggest robust but subtle alterations across different age-groups among ADHD, ASD, and OCD. ADHD-specific ICV and hippocampal alterations in children and adolescents, and ASD-specific cortical thickness alterations in the frontal cortex in adults support previous work emphasizing neurodevelopmental alterations in these disorders.

ACS Style

Premika S.W. Boedhoe; Daan Van Rooij; Martine Hoogman; Jos W.R. Twisk; Lianne Schmaal; Yoshinari Abe; Pino Alonso; Stephanie H. Ameis; Anatoly Anikin; Alan Anticevic; Philip Aherson; Celso Arango; Paul D. Arnold; Francesca Assogna; Guillaume Auzias; Tobias Banaschewski; Alexander Baranov; Marcelo C. Batistuzzo; Sarah Baumeister; Ramona Baur-Streubel; Marlene Behrmann; Mark A. Bellgrove; Francesco Benedetti; Jan C. Beucke; Joseph Biederman; Irene Bollettini; Anushree Bose; Janita Bralten; Ivanei E. Bramati; Daniel Brandeis; Silvia Brem; Brian P. Brennan; Geraldo F. Busatto; Sara Calderoni; Anna Calvo; Rosa Calvo; Francisco X. Castellanos; Mara Cercignani; Tiffany M. Chaim-Avancini; Kaylita C. Chantiluke; Yuqi Cheng; Kang Ik K. Cho; Anastasia Christakou; David Coghill; Annette Conzelmann; Ana I. Cubillo; Anders M. Dale; Sara Dallaspezia; Eileen Daly; Damiaan Denys; Christine Deruelle; Adriana Di Martino; Ilan Dinstein; Alysa E. Doyle; Sarah Durston; Eric A. Earl; Christine Ecker; Stefan Ehrlich; Benjamin A. Ely; Jeffery N. Epstein; Thomas Ethofer; Damien A. Fair; Andreas J. Fallgatter; Stephen V. Faraone; Jennifer Fedor; Xin Feng; Jamie D. Feusner; Jackie Fitzgerald; Kate D. Fitzgerald; Jean-Paul Fouche; Christine M. Freitag; Egill A. Fridgeirsson; Thomas Frodl; Matt C. Gabel; Louise Gallagher; Tinatin Gogberashvili; Ilaria Gori; Patricia Gruner; Deniz A. Gürsel; Shlomi Haar; Jan Haavik; Geoffrey B. Hall; Neil A. Harrison; Catharina A. Hartman; Dirk J. Heslenfeld; Yoshiyuki Hirano; Pieter J. Hoekstra; Marcelo Q. Hoexter; Sarah Hohmann; Marie F. Høvik; Hao Hu; Chaim Huyser; Neda Jahanshad; Maria Jalbrzikowski; Anthony James; Joost Janssen; Fern Jaspers-Fayer; Terry L. Jernigan; Dmitry Kapilushniy; Bernd Kardatzki; Georgii Karkashadze; Norbert Kathmann; Christian Kaufmann; Clare Kelly; Sabin Khadka; Joseph A. King; Kathrin Koch; Gregor Kohls; Kerstin Kohls; Masaru Kuno; Jonna Kuntsi; Gerd Kvale; Jun Soo Kwon; Luisa Lázaro; Sara Lera-Miguel; Klaus-Peter Lesch; Liesbeth Hoekstra; Yanni Liu; Christine Lochner; Mario R. Louza; Beatriz Luna; Astri J. Lundervold; Charles B. Malpas; Paulo Marques; Rachel Marsh; Ignacio Martínez-Zalacaín; David Mataix-Cols; Paulo Mattos; Hazel McCarthy; Jane McGrath; Mitul A. Mehta; José M. Menchón; Maarten Mennes; Mauricio Moller Martinho; Pedro S. Moreira; Astrid Morer; Pedro Morgado; Filippo Muratori; Clodagh M. Murphy; Declan G.M. Murphy; Akiko Nakagawa; Takashi Nakamae; Tomohiro Nakao; Leyla Namazova-Baranova; Janardhanan. C. Narayanaswamy; Rosa Nicolau; Joel T. Nigg; Stephanie E. Novotny; Erika L. Nurmi; Eileen Oberwelland Weiss; Ruth L. O’Gorman Tuura; Kirsten O’Hearn; Joseph O’Neill; Jaap Oosterlaan; Bob Oranje; Yannis Paloyelis; Mara Parellada; Paul Pauli; Chris Perriello; John Piacentini; Fabrizio Piras; Federica Piras; Kerstin J. Plessen; Olga Puig; J. Antoni Ramos-Quiroga; Y.C. Janardhan Reddy; Andreas Reif; Liesbeth Reneman; Alessandra Retico; Pedro G.P. Rosa; Katya Rubia; Oana Georgiana Rus; Yuki Sakai; Anouk Schrantee; Lena Schwarz; Lizanne J.S. Schweren; Jochen Seitz; Philip Shaw; Devon Shook; Tim J. Silk; H. Blair Simpson; Norbert Skokauskas; Juan Carlos Soliva Vila; Anastasia Solovieva; Noam Soreni; Carles Soriano-Mas; Gianfranco Spalletta; Emily R. Stern; Michael C. Stevens; S. Evelyn Stewart; Gustavo Sudre; Philip R. Szeszko; Leanne Tamm; Margot J. Taylor; David F. Tolin; Michela Tosetti; Fernanda Tovar-Moll; Aki Tsuchiyagaito; Theo G.M. Van Erp; Guido A. Van Wingen; Alasdair Vance; Ganesan Venkatasubramanian; Oscar Vilarroya; Yolanda Vives-Gilabert; Georg G. Von Polier; Susanne Walitza; Gregory L. Wallace; Zhen Wang; Thomas Wolfers; Yuliya N. Yoncheva; Je-Yeon Yun; Marcus V. Zanetti; Fengfeng Zhou; Georg C. Ziegler; Kathrin C. Zierhut; Marcel P. Zwiers; Paul M. Thompson; Dan J. Stein; Jan K Buitelaar; Barbara Franke; Odile A. Van Den Heuvel; the ENIGMA-ADHD working group. Subcortical brain volume, regional cortical thickness and cortical surface area across attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive-compulsive disorder (OCD). 2019, 673012 .

AMA Style

Premika S.W. Boedhoe, Daan Van Rooij, Martine Hoogman, Jos W.R. Twisk, Lianne Schmaal, Yoshinari Abe, Pino Alonso, Stephanie H. Ameis, Anatoly Anikin, Alan Anticevic, Philip Aherson, Celso Arango, Paul D. Arnold, Francesca Assogna, Guillaume Auzias, Tobias Banaschewski, Alexander Baranov, Marcelo C. Batistuzzo, Sarah Baumeister, Ramona Baur-Streubel, Marlene Behrmann, Mark A. Bellgrove, Francesco Benedetti, Jan C. Beucke, Joseph Biederman, Irene Bollettini, Anushree Bose, Janita Bralten, Ivanei E. Bramati, Daniel Brandeis, Silvia Brem, Brian P. Brennan, Geraldo F. Busatto, Sara Calderoni, Anna Calvo, Rosa Calvo, Francisco X. Castellanos, Mara Cercignani, Tiffany M. Chaim-Avancini, Kaylita C. Chantiluke, Yuqi Cheng, Kang Ik K. Cho, Anastasia Christakou, David Coghill, Annette Conzelmann, Ana I. Cubillo, Anders M. Dale, Sara Dallaspezia, Eileen Daly, Damiaan Denys, Christine Deruelle, Adriana Di Martino, Ilan Dinstein, Alysa E. Doyle, Sarah Durston, Eric A. Earl, Christine Ecker, Stefan Ehrlich, Benjamin A. Ely, Jeffery N. Epstein, Thomas Ethofer, Damien A. Fair, Andreas J. Fallgatter, Stephen V. Faraone, Jennifer Fedor, Xin Feng, Jamie D. Feusner, Jackie Fitzgerald, Kate D. Fitzgerald, Jean-Paul Fouche, Christine M. Freitag, Egill A. Fridgeirsson, Thomas Frodl, Matt C. Gabel, Louise Gallagher, Tinatin Gogberashvili, Ilaria Gori, Patricia Gruner, Deniz A. Gürsel, Shlomi Haar, Jan Haavik, Geoffrey B. Hall, Neil A. Harrison, Catharina A. Hartman, Dirk J. Heslenfeld, Yoshiyuki Hirano, Pieter J. Hoekstra, Marcelo Q. Hoexter, Sarah Hohmann, Marie F. Høvik, Hao Hu, Chaim Huyser, Neda Jahanshad, Maria Jalbrzikowski, Anthony James, Joost Janssen, Fern Jaspers-Fayer, Terry L. Jernigan, Dmitry Kapilushniy, Bernd Kardatzki, Georgii Karkashadze, Norbert Kathmann, Christian Kaufmann, Clare Kelly, Sabin Khadka, Joseph A. King, Kathrin Koch, Gregor Kohls, Kerstin Kohls, Masaru Kuno, Jonna Kuntsi, Gerd Kvale, Jun Soo Kwon, Luisa Lázaro, Sara Lera-Miguel, Klaus-Peter Lesch, Liesbeth Hoekstra, Yanni Liu, Christine Lochner, Mario R. Louza, Beatriz Luna, Astri J. Lundervold, Charles B. Malpas, Paulo Marques, Rachel Marsh, Ignacio Martínez-Zalacaín, David Mataix-Cols, Paulo Mattos, Hazel McCarthy, Jane McGrath, Mitul A. Mehta, José M. Menchón, Maarten Mennes, Mauricio Moller Martinho, Pedro S. Moreira, Astrid Morer, Pedro Morgado, Filippo Muratori, Clodagh M. Murphy, Declan G.M. Murphy, Akiko Nakagawa, Takashi Nakamae, Tomohiro Nakao, Leyla Namazova-Baranova, Janardhanan. C. Narayanaswamy, Rosa Nicolau, Joel T. Nigg, Stephanie E. Novotny, Erika L. Nurmi, Eileen Oberwelland Weiss, Ruth L. O’Gorman Tuura, Kirsten O’Hearn, Joseph O’Neill, Jaap Oosterlaan, Bob Oranje, Yannis Paloyelis, Mara Parellada, Paul Pauli, Chris Perriello, John Piacentini, Fabrizio Piras, Federica Piras, Kerstin J. Plessen, Olga Puig, J. Antoni Ramos-Quiroga, Y.C. Janardhan Reddy, Andreas Reif, Liesbeth Reneman, Alessandra Retico, Pedro G.P. Rosa, Katya Rubia, Oana Georgiana Rus, Yuki Sakai, Anouk Schrantee, Lena Schwarz, Lizanne J.S. Schweren, Jochen Seitz, Philip Shaw, Devon Shook, Tim J. Silk, H. Blair Simpson, Norbert Skokauskas, Juan Carlos Soliva Vila, Anastasia Solovieva, Noam Soreni, Carles Soriano-Mas, Gianfranco Spalletta, Emily R. Stern, Michael C. Stevens, S. Evelyn Stewart, Gustavo Sudre, Philip R. Szeszko, Leanne Tamm, Margot J. Taylor, David F. Tolin, Michela Tosetti, Fernanda Tovar-Moll, Aki Tsuchiyagaito, Theo G.M. Van Erp, Guido A. Van Wingen, Alasdair Vance, Ganesan Venkatasubramanian, Oscar Vilarroya, Yolanda Vives-Gilabert, Georg G. Von Polier, Susanne Walitza, Gregory L. Wallace, Zhen Wang, Thomas Wolfers, Yuliya N. Yoncheva, Je-Yeon Yun, Marcus V. Zanetti, Fengfeng Zhou, Georg C. Ziegler, Kathrin C. Zierhut, Marcel P. Zwiers, Paul M. Thompson, Dan J. Stein, Jan K Buitelaar, Barbara Franke, Odile A. Van Den Heuvel, the ENIGMA-ADHD working group. Subcortical brain volume, regional cortical thickness and cortical surface area across attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive-compulsive disorder (OCD). . 2019; ():673012.

Chicago/Turabian Style

Premika S.W. Boedhoe; Daan Van Rooij; Martine Hoogman; Jos W.R. Twisk; Lianne Schmaal; Yoshinari Abe; Pino Alonso; Stephanie H. Ameis; Anatoly Anikin; Alan Anticevic; Philip Aherson; Celso Arango; Paul D. Arnold; Francesca Assogna; Guillaume Auzias; Tobias Banaschewski; Alexander Baranov; Marcelo C. Batistuzzo; Sarah Baumeister; Ramona Baur-Streubel; Marlene Behrmann; Mark A. Bellgrove; Francesco Benedetti; Jan C. Beucke; Joseph Biederman; Irene Bollettini; Anushree Bose; Janita Bralten; Ivanei E. Bramati; Daniel Brandeis; Silvia Brem; Brian P. Brennan; Geraldo F. Busatto; Sara Calderoni; Anna Calvo; Rosa Calvo; Francisco X. Castellanos; Mara Cercignani; Tiffany M. Chaim-Avancini; Kaylita C. Chantiluke; Yuqi Cheng; Kang Ik K. Cho; Anastasia Christakou; David Coghill; Annette Conzelmann; Ana I. Cubillo; Anders M. Dale; Sara Dallaspezia; Eileen Daly; Damiaan Denys; Christine Deruelle; Adriana Di Martino; Ilan Dinstein; Alysa E. Doyle; Sarah Durston; Eric A. Earl; Christine Ecker; Stefan Ehrlich; Benjamin A. Ely; Jeffery N. Epstein; Thomas Ethofer; Damien A. Fair; Andreas J. Fallgatter; Stephen V. Faraone; Jennifer Fedor; Xin Feng; Jamie D. Feusner; Jackie Fitzgerald; Kate D. Fitzgerald; Jean-Paul Fouche; Christine M. Freitag; Egill A. Fridgeirsson; Thomas Frodl; Matt C. Gabel; Louise Gallagher; Tinatin Gogberashvili; Ilaria Gori; Patricia Gruner; Deniz A. Gürsel; Shlomi Haar; Jan Haavik; Geoffrey B. Hall; Neil A. Harrison; Catharina A. Hartman; Dirk J. Heslenfeld; Yoshiyuki Hirano; Pieter J. Hoekstra; Marcelo Q. Hoexter; Sarah Hohmann; Marie F. Høvik; Hao Hu; Chaim Huyser; Neda Jahanshad; Maria Jalbrzikowski; Anthony James; Joost Janssen; Fern Jaspers-Fayer; Terry L. Jernigan; Dmitry Kapilushniy; Bernd Kardatzki; Georgii Karkashadze; Norbert Kathmann; Christian Kaufmann; Clare Kelly; Sabin Khadka; Joseph A. King; Kathrin Koch; Gregor Kohls; Kerstin Kohls; Masaru Kuno; Jonna Kuntsi; Gerd Kvale; Jun Soo Kwon; Luisa Lázaro; Sara Lera-Miguel; Klaus-Peter Lesch; Liesbeth Hoekstra; Yanni Liu; Christine Lochner; Mario R. Louza; Beatriz Luna; Astri J. Lundervold; Charles B. Malpas; Paulo Marques; Rachel Marsh; Ignacio Martínez-Zalacaín; David Mataix-Cols; Paulo Mattos; Hazel McCarthy; Jane McGrath; Mitul A. Mehta; José M. Menchón; Maarten Mennes; Mauricio Moller Martinho; Pedro S. Moreira; Astrid Morer; Pedro Morgado; Filippo Muratori; Clodagh M. Murphy; Declan G.M. Murphy; Akiko Nakagawa; Takashi Nakamae; Tomohiro Nakao; Leyla Namazova-Baranova; Janardhanan. C. Narayanaswamy; Rosa Nicolau; Joel T. Nigg; Stephanie E. Novotny; Erika L. Nurmi; Eileen Oberwelland Weiss; Ruth L. O’Gorman Tuura; Kirsten O’Hearn; Joseph O’Neill; Jaap Oosterlaan; Bob Oranje; Yannis Paloyelis; Mara Parellada; Paul Pauli; Chris Perriello; John Piacentini; Fabrizio Piras; Federica Piras; Kerstin J. Plessen; Olga Puig; J. Antoni Ramos-Quiroga; Y.C. Janardhan Reddy; Andreas Reif; Liesbeth Reneman; Alessandra Retico; Pedro G.P. Rosa; Katya Rubia; Oana Georgiana Rus; Yuki Sakai; Anouk Schrantee; Lena Schwarz; Lizanne J.S. Schweren; Jochen Seitz; Philip Shaw; Devon Shook; Tim J. Silk; H. Blair Simpson; Norbert Skokauskas; Juan Carlos Soliva Vila; Anastasia Solovieva; Noam Soreni; Carles Soriano-Mas; Gianfranco Spalletta; Emily R. Stern; Michael C. Stevens; S. Evelyn Stewart; Gustavo Sudre; Philip R. Szeszko; Leanne Tamm; Margot J. Taylor; David F. Tolin; Michela Tosetti; Fernanda Tovar-Moll; Aki Tsuchiyagaito; Theo G.M. Van Erp; Guido A. Van Wingen; Alasdair Vance; Ganesan Venkatasubramanian; Oscar Vilarroya; Yolanda Vives-Gilabert; Georg G. Von Polier; Susanne Walitza; Gregory L. Wallace; Zhen Wang; Thomas Wolfers; Yuliya N. Yoncheva; Je-Yeon Yun; Marcus V. Zanetti; Fengfeng Zhou; Georg C. Ziegler; Kathrin C. Zierhut; Marcel P. Zwiers; Paul M. Thompson; Dan J. Stein; Jan K Buitelaar; Barbara Franke; Odile A. Van Den Heuvel; the ENIGMA-ADHD working group. 2019. "Subcortical brain volume, regional cortical thickness and cortical surface area across attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and obsessive-compulsive disorder (OCD)." , no. : 673012.

Journal article
Published: 01 April 2018 in American Journal of Psychiatry
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Objective:Neuroimaging studies show structural differences in both cortical and subcortical brain regions in children and adults with autism spectrum disorder (ASD) compared with healthy subjects. Findings are inconsistent, however, and it is unclear how differences develop across the lifespan. The authors investigated brain morphometry differences between individuals with ASD and healthy subjects, cross-sectionally across the lifespan, in a large multinational sample from the Enhancing Neuroimaging Genetics Through Meta-Analysis (ENIGMA) ASD working group.Method:The sample comprised 1,571 patients with ASD and 1,651 healthy control subjects (age range, 2–64 years) from 49 participating sites. MRI scans were preprocessed at individual sites with a harmonized protocol based on a validated automated-segmentation software program. Mega-analyses were used to test for case-control differences in subcortical volumes, cortical thickness, and surface area. Development of brain morphometry over the lifespan was modeled using a fractional polynomial approach.Results:The case-control mega-analysis demonstrated that ASD was associated with smaller subcortical volumes of the pallidum, putamen, amygdala, and nucleus accumbens (effect sizes [Cohen’s d], 0.13 to –0.13), as well as increased cortical thickness in the frontal cortex and decreased thickness in the temporal cortex (effect sizes, −0.21 to 0.20). Analyses of age effects indicate that the development of cortical thickness is altered in ASD, with the largest differences occurring around adolescence. No age-by-ASD interactions were observed in the subcortical partitions.Conclusions:The ENIGMA ASD working group provides the largest study of brain morphometry differences in ASD to date, using a well-established, validated, publicly available analysis pipeline. ASD patients showed altered morphometry in the cognitive and affective parts of the striatum, frontal cortex, and temporal cortex. Complex developmental trajectories were observed for the different regions, with a developmental peak around adolescence. These findings suggest an interplay in the abnormal development of the striatal, frontal, and temporal regions in ASD across the lifespan.

ACS Style

Daan Van Rooij; Evdokia Anagnostou; Celso Arango; Guillaume Auzias; Marlene Behrmann; Geraldo F. Busatto; Sara Calderoni; Eileen Daly; Christine Deruelle; Adriana Di Martino; Ilan Dinstein; Fabio Luis Souza-Duran; Sarah Durston; Christine Ecker; Damien Fair; Jennifer Fedor; Jackie Fitzgerald; Christine M. Freitag; Louise Gallagher; Ilaria Gori; Shlomi Haar; Liesbeth Hoekstra; Neda Jahanshad; Maria Jalbrzikowski; Joost Janssen; Jason Lerch; Beatriz Luna; Mauricio Moller Martinho; Jane McGrath; Filippo Muratori; Clodagh M. Murphy; Declan G.M. Murphy; Kirsten O'Hearn; Bob Oranje; Mara Parellada; Alessandra Retico; Pedro Rossa; Katya Rubia; Devon Shook; Margot Taylor; Paul M. Thompson; Michela Tosetti; Gregory Wallace; Fengfeng Zhou; Jan K. Buitelaar. Cortical and Subcortical Brain Morphometry Differences Between Patients With Autism Spectrum Disorder and Healthy Individuals Across the Lifespan: Results From the ENIGMA ASD Working Group. American Journal of Psychiatry 2018, 175, 359 -369.

AMA Style

Daan Van Rooij, Evdokia Anagnostou, Celso Arango, Guillaume Auzias, Marlene Behrmann, Geraldo F. Busatto, Sara Calderoni, Eileen Daly, Christine Deruelle, Adriana Di Martino, Ilan Dinstein, Fabio Luis Souza-Duran, Sarah Durston, Christine Ecker, Damien Fair, Jennifer Fedor, Jackie Fitzgerald, Christine M. Freitag, Louise Gallagher, Ilaria Gori, Shlomi Haar, Liesbeth Hoekstra, Neda Jahanshad, Maria Jalbrzikowski, Joost Janssen, Jason Lerch, Beatriz Luna, Mauricio Moller Martinho, Jane McGrath, Filippo Muratori, Clodagh M. Murphy, Declan G.M. Murphy, Kirsten O'Hearn, Bob Oranje, Mara Parellada, Alessandra Retico, Pedro Rossa, Katya Rubia, Devon Shook, Margot Taylor, Paul M. Thompson, Michela Tosetti, Gregory Wallace, Fengfeng Zhou, Jan K. Buitelaar. Cortical and Subcortical Brain Morphometry Differences Between Patients With Autism Spectrum Disorder and Healthy Individuals Across the Lifespan: Results From the ENIGMA ASD Working Group. American Journal of Psychiatry. 2018; 175 (4):359-369.

Chicago/Turabian Style

Daan Van Rooij; Evdokia Anagnostou; Celso Arango; Guillaume Auzias; Marlene Behrmann; Geraldo F. Busatto; Sara Calderoni; Eileen Daly; Christine Deruelle; Adriana Di Martino; Ilan Dinstein; Fabio Luis Souza-Duran; Sarah Durston; Christine Ecker; Damien Fair; Jennifer Fedor; Jackie Fitzgerald; Christine M. Freitag; Louise Gallagher; Ilaria Gori; Shlomi Haar; Liesbeth Hoekstra; Neda Jahanshad; Maria Jalbrzikowski; Joost Janssen; Jason Lerch; Beatriz Luna; Mauricio Moller Martinho; Jane McGrath; Filippo Muratori; Clodagh M. Murphy; Declan G.M. Murphy; Kirsten O'Hearn; Bob Oranje; Mara Parellada; Alessandra Retico; Pedro Rossa; Katya Rubia; Devon Shook; Margot Taylor; Paul M. Thompson; Michela Tosetti; Gregory Wallace; Fengfeng Zhou; Jan K. Buitelaar. 2018. "Cortical and Subcortical Brain Morphometry Differences Between Patients With Autism Spectrum Disorder and Healthy Individuals Across the Lifespan: Results From the ENIGMA ASD Working Group." American Journal of Psychiatry 175, no. 4: 359-369.

Original article
Published: 05 December 2016 in Addiction Biology
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The putamen has been shown to play a key role in inhibitory control and addiction, and consists of distinct subregions associated with distinct functions. The anterior putamen is thought to be specialized in goal-directed control or response-monitoring in connection with frontal regions, whereas the posterior part is specialized in habitual or automatic responding in connection with sensorimotor regions. The present study is the first to delineate functional networks of the anterior and posterior putamen in a Go-NoGo response inhibition task, and to examine differences between smokers (n = 25) and non-smokers (n = 23) within these networks. Functional connectivity analyses were conducted on fMRI data from a Go-NoGo study, using the generalized form of psychophysiological interaction with anterior and posterior putamen seed regions. In the context of inhibition, the anterior putamen exhibited connectivity with the anterior cingulate cortex (ACC) and precuneus (pFWE < .05), which was in line with previous literature. Conversely, the posterior putamen showed connectivity with regions implicated in sensorimotor processing. When we compared smokers to non-smokers, we did not observe the expected weaker connectivity between the anterior putamen and ACC during inhibition in smokers. Instead, our study revealed stronger inhibition-related connectivity between the anterior putamen and right insula in smokers. This finding highlights the involvement of putamen - insula interactions in addiction and impulse control.

ACS Style

Sophie E. A. Akkermans; Maartje Luijten; Daan Van Rooij; Ingmar Franken; Jan K. Buitelaar. Putamen functional connectivity during inhibitory control in smokers and non-smokers. Addiction Biology 2016, 23, 359 -368.

AMA Style

Sophie E. A. Akkermans, Maartje Luijten, Daan Van Rooij, Ingmar Franken, Jan K. Buitelaar. Putamen functional connectivity during inhibitory control in smokers and non-smokers. Addiction Biology. 2016; 23 (1):359-368.

Chicago/Turabian Style

Sophie E. A. Akkermans; Maartje Luijten; Daan Van Rooij; Ingmar Franken; Jan K. Buitelaar. 2016. "Putamen functional connectivity during inhibitory control in smokers and non-smokers." Addiction Biology 23, no. 1: 359-368.

Journal article
Published: 01 February 2016 in NeuroImage: Clinical
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Attention-deficit/hyperactivity disorder (ADHD) is one of the most prevalent and heritable psychiatric disorders. While previous studies have focussed on mapping focal or connectivity differences at the group level, the present study employed pattern recognition to quantify group separation between unaffected siblings, participants with ADHD, and healthy controls on the basis of spatially distributed brain activations. This was achieved using an fMRI-adapted version of the Stop-Signal Task in a sample of 103 unaffected siblings, 184 participants with ADHD, and 128 healthy controls. We used activation maps derived from three task regressors as features in our analyses employing a Gaussian process classifier. We showed that unaffected siblings could be distinguished from participants with ADHD (area under the receiver operating characteristic curve (AUC) = 0.65, p = 0.002, 95% Modified Wald CI: 0.59–0.71 AUC) and healthy controls (AUC = 0.59, p = 0.030, 95% Modified Wald CI: 0.52–0.66 AUC), although the latter did not survive correction for multiple comparisons. Further, participants with ADHD could be distinguished from healthy controls (AUC = 0.64, p = 0.001, 95% Modified Wald CI: 0.58–0.70 AUC). Altogether the present results characterise a pattern of frontolateral, superior temporal and inferior parietal expansion that is associated with risk for ADHD. Unaffected siblings show differences primarily in frontolateral regions. This provides evidence for a neural profile shared between participants with ADHD and their healthy siblings.

ACS Style

Thomas Wolfers; Daan van Rooij; Jaap Oosterlaan; Dirk Heslenfeld; Catharina A. Hartman; Pieter J. Hoekstra; Christian F. Beckmann; Barbara Franke; Jan K. Buitelaar; Andre F. Marquand. Quantifying patterns of brain activity: Distinguishing unaffected siblings from participants with ADHD and healthy individuals. NeuroImage: Clinical 2016, 12, 227 -233.

AMA Style

Thomas Wolfers, Daan van Rooij, Jaap Oosterlaan, Dirk Heslenfeld, Catharina A. Hartman, Pieter J. Hoekstra, Christian F. Beckmann, Barbara Franke, Jan K. Buitelaar, Andre F. Marquand. Quantifying patterns of brain activity: Distinguishing unaffected siblings from participants with ADHD and healthy individuals. NeuroImage: Clinical. 2016; 12 ():227-233.

Chicago/Turabian Style

Thomas Wolfers; Daan van Rooij; Jaap Oosterlaan; Dirk Heslenfeld; Catharina A. Hartman; Pieter J. Hoekstra; Christian F. Beckmann; Barbara Franke; Jan K. Buitelaar; Andre F. Marquand. 2016. "Quantifying patterns of brain activity: Distinguishing unaffected siblings from participants with ADHD and healthy individuals." NeuroImage: Clinical 12, no. : 227-233.

Journal article
Published: 01 October 2015 in The World Journal of Biological Psychiatry
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Objectives. Deficits in response inhibition have been associated with attention-deficit/hyperactivity disorder (ADHD). Given the role of serotonin in ADHD and impulsivity, we postulated that genetic variants within the serotonin pathway might influence response inhibition. Methods. We measured neural activation during stop-signal task performance in adolescents with ADHD (N = 185), their unaffected siblings (N = 111), and healthy controls (N = 124), and investigated the relationship of two serotonin gene polymorphisms (the rs6296 SNP of the HTR1B gene and HTTLPR variants of the 5-HTT gene) with the neural correlates of response inhibition. Results. The whole-brain analyses demonstrated large scale neural activation differences in the inferior and medial frontal and temporal/parietal regions of the response inhibition network between the different variants of both the HTR1B and 5HTT genes. Activation in these regions was significantly associated with stop-task performance, but not with ADHD diagnosis or severity. No associations were found between HTR1B and 5HTT variants and ADHD or ADHD-related neural activation. Conclusions. These results provide novel evidence that serotonin may play an important role in the neurobiology of response inhibition. Although response inhibition is strongly linked to ADHD, serotonin linked genetic variants associated with response inhibition and its neural correlates do not explain variance of the ADHD phenotype

ACS Style

Daan Van Rooij; Catharina A. Hartman; Marjolein M.J. Van Donkelaar; Janita Bralten; Daniel Von Rhein; Marina Hakobjan; Barbara Franke; Dirk J. Heslenfeld; Jaap Oosterlaan; N.N.J. Rommelse; Jan K. Buitelaar; Pieter J. Hoekstra. Variation in serotonin neurotransmission genes affects neural activation during response inhibition in adolescents and young adults with ADHD and healthy controls. The World Journal of Biological Psychiatry 2015, 16, 625 -634.

AMA Style

Daan Van Rooij, Catharina A. Hartman, Marjolein M.J. Van Donkelaar, Janita Bralten, Daniel Von Rhein, Marina Hakobjan, Barbara Franke, Dirk J. Heslenfeld, Jaap Oosterlaan, N.N.J. Rommelse, Jan K. Buitelaar, Pieter J. Hoekstra. Variation in serotonin neurotransmission genes affects neural activation during response inhibition in adolescents and young adults with ADHD and healthy controls. The World Journal of Biological Psychiatry. 2015; 16 (8):625-634.

Chicago/Turabian Style

Daan Van Rooij; Catharina A. Hartman; Marjolein M.J. Van Donkelaar; Janita Bralten; Daniel Von Rhein; Marina Hakobjan; Barbara Franke; Dirk J. Heslenfeld; Jaap Oosterlaan; N.N.J. Rommelse; Jan K. Buitelaar; Pieter J. Hoekstra. 2015. "Variation in serotonin neurotransmission genes affects neural activation during response inhibition in adolescents and young adults with ADHD and healthy controls." The World Journal of Biological Psychiatry 16, no. 8: 625-634.

Journal article
Published: 01 May 2015 in NeuroImage
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Head motion during functional MRI (fMRI) scanning can induce spurious findings and/or harm detection of true effects. Solutions have been proposed, including deleting ('scrubbing') or regressing out ('spike regression') motion volumes from fMRI time-series. These strategies remove motion-induced signal variations at the cost of destroying the autocorrelation structure of the fMRI time-series and reducing temporal degrees of freedom. ICA-based fMRI denoising strategies overcome these drawbacks but typically require re-training of a classifier, needing manual labeling of derived components (e.g. ICA-FIX; Salimi-Khorshidi et al. (2014)). Here, we propose an ICA-based strategy for Automatic Removal of Motion Artifacts (ICA-AROMA) that uses a small (n=4), but robust set of theoretically motivated temporal and spatial features. Our strategy does not require classifier re-training, retains the data's autocorrelation structure and largely preserves temporal degrees of freedom. We describe ICA-AROMA, its implementation, and initial validation. ICA-AROMA identified motion components with high accuracy and robustness as illustrated by leave-N-out cross-validation. We additionally validated ICA-AROMA in resting-state (100 participants) and task-based fMRI data (118 participants). Our approach removed (motion-related) spurious noise from both rfMRI and task-based fMRI data to larger extent than regression using 24 motion parameters or spike regression. Furthermore, ICA-AROMA increased sensitivity to group-level activation. Our results show that ICA-AROMA effectively reduces motion-induced signal variations in fMRI data, is applicable across datasets without requiring classifier re-training, and preserves the temporal characteristics of the fMRI data.

ACS Style

Raimon H.R. Pruim; Maarten Mennes; Daan van Rooij; Alberto Llera; Jan K. Buitelaar; Christian F. Beckmann. ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data. NeuroImage 2015, 112, 267 -277.

AMA Style

Raimon H.R. Pruim, Maarten Mennes, Daan van Rooij, Alberto Llera, Jan K. Buitelaar, Christian F. Beckmann. ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data. NeuroImage. 2015; 112 ():267-277.

Chicago/Turabian Style

Raimon H.R. Pruim; Maarten Mennes; Daan van Rooij; Alberto Llera; Jan K. Buitelaar; Christian F. Beckmann. 2015. "ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data." NeuroImage 112, no. : 267-277.