poster # 1137
Brain structure and ADHD across the life span: an ENIGMA- collaboration
Martine Hoogman1, Marcel Zwiers2, Maarten Mennes2, The ENIGMA-ADHD working group3 and Barbara Franke1,4
Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
Departments of 1Human Genetics, 2Cognitive neuroscience and 4Psychiatry. 3www.ini.usc.edu
Aim 1: create a large international database of imaging
and other data for powerful analyses in ADHD
Aim 2: study case-control subcortical volumes differences
METHODS
The ENIGMA ADHD working group:
•
•
•
Analysis
A rolling mega-analysis design (always open for inclusion of new
cohorts)
Collecting structural t1-scans of ADHD cases and healthy
controls of all ages
Additional information about comorbidities and medication are
also collected
•
•
Segmentation of subcortical brain volumes using protocols
available on the ENIGMA (Enhancing Neuro Imaging Genetics
Through Meta-Analysis Consortium) website (www.ini.usc.edu)
Meta-and mega-analyses for ~1600 ADHD cases and
~1500 controls
RESULTS
The ENIGMA-ADHD database
COHORTS
Children
Adolescents
Adults
Meta-Analysis
N cases
N controls
Age (SD)
ADHD_Aachen
Aachen, GER
102
79
11.2 (2.7)
ADHD_OHSU
Oregon, USA
42
69
9.1 (1.3)
ADHD200_KKI
Baltimore, USA
25
69
10.2 (1.3)
ADHD200_NYU
New York, USA
151
109
11.4 (2.9)
ADHD200_Peking
Peking, China
102
143
11.7 (2.0)
NIH
New York, USA
205
251
10.0 (3.1)
ADHD_Rubia
London, UK
44
33
14.0 (2.2)
Bergen_SVG
Bergen, NOO
25
29
10.1 (1.2)
Niche
Utrecht, NL
78
80
10.4 (1.9)
ZI_CAPS
Mannheim, GER
25
13
12.7 (1.2)
CEG_DAT
London, UK
27
29
15.6 (2.1)
NeuroImage_ADAM
Amsterdam, NL
97
85
17.2 (3.2)
NeuroImage_NIJM
Nijmegen, NL
139
39
16.9 (3.4)
ADHD_Würzburg
Würzburg, GER
62
56
39.8 (11.3)
ADHD_DUB1
Dublin, IRL
36
39
22.3 (5.2)
ADHD_DUB2
Dublin, IRL
20
0
33.7 (10.2)
ADHD_Mattos
Rio de Janeiro, BRA
17
0
22.9 (1.4)
Bergen_adultADHD
Bergen, NOO
44
49
31.6 (6.7)
IMpACT_NL
Nijmegen, NL
125
120
35.5 (11.4)
MGH ADHD
New York, USA
78
69
35.8 (12.0)
NYU ADHD
New York, USA
40
40
31.6 (9.4)
UAB_ADHD
Barcelona, SPA
103
95
25.8 (13.0)
1587
1496
18.4 (12.0)
Total
Accumbens
Amygdala
Caudate Nucleus
Hippocampus
Pallidum
Putamen
Thalamus
Analyses were corrected for age, gender, and total brain volume
Age, Gender, Total brain volume and Cohort were included as covariates
CONCLUSION
1. Meta-analysis did not reveal large effects for the case-control differences for any of the subcortical volumes
and did not survive correction for multiple testing
2. Mega-analysis and more detailed analysis, such as analysis per age bin, might give us a clearer picture of the brain changes related to ADHD
FUTURE PLANS
1. Perform a mega-analysis; 2. Determine the age effect; 3. Study
effects of gender, co-morbid disorders;
4. Collect cortical volumes; 5. Study genetic effects
See also these related ENIGMA presentations:
Poster # 1249, Subcortical and cortical variations in schizophrenia: the ENIGMA SZ working group
Poster # 1363, ENIGMA Bipolar disorder working group findings from 1747 cases and 2615 controls
Poster # 3400 & 3401, Mega-Genetic Analysis and ENIGMA-DTI
Poster # 3412, Using meta and mega analyses to find heritability estimates from 2203 scans - from ENIGMADTI
Poster # 3580, Cortical thickness reliability measures evaluated with standardized protocols the ENIGMA
Consortium
E-mail: martine.hoogman@radboudumc.nl