| Literature DB >> 35190533 |
Odile A van den Heuvel1, Chris Vriend1, Cees J Weeland2, Selina Kasprzak1, Niels T de Joode1, Yoshinari Abe3, Pino Alonso4,5,6, Stephanie H Ameis7,8,9, Alan Anticevic10, Paul D Arnold11,12, Srinivas Balachander13, Nerisa Banaj14, Nuria Bargallo15,16, Marcelo C Batistuzzo17,18, Francesco Benedetti19,20, Jan C Beucke21,22,23,24, Irene Bollettini25, Vilde Brecke26, Silvia Brem27,28, Carolina Cappi29, Yuqi Cheng30, Kang Ik K Cho31,32, Daniel L C Costa33, Sara Dallaspezia34, Damiaan Denys35, Goi Khia Eng36,37, Sónia Ferreira38,39,40, Jamie D Feusner41,42, Martine Fontaine43, Jean-Paul Fouche44, Rachael G Grazioplene45, Patricia Gruner45, Mengxin He30, Yoshiyuki Hirano46,47, Marcelo Q Hoexter17, Chaim Huyser48,49, Hao Hu50, Fern Jaspers-Fayer51,52, Norbert Kathmann21, Christian Kaufmann21, Minah Kim53,54, Kathrin Koch55,56, Yoo Bin Kwak32, Jun Soo Kwon32,54,57,58, Luisa Lazaro59,60, Chiang-Shan R Li5, Christine Lochner61, Rachel Marsh43, Ignacio Martínez-Zalacaín4,6, David Mataix-Cols22,62, Jose M Menchón4,5,6, Luciano Minnuzi63,64, Pedro Silva Moreira38,39,65, Pedro Morgado38,39,66,67, Akiko Nakagawa46, Takashi Nakamae68, Janardhanan C Narayanaswamy13, Erika L Nurmi69, Ana E Ortiz70,71, Jose C Pariente15, John Piacentini72, Maria Picó-Pérez38,39,40, Fabrizio Piras14, Federica Piras14, Christopher Pittenger73, Y C Janardhan Reddy13, Daniela Rodriguez-Manrique56,74,75, Yuki Sakai3,76, Eiji Shimizu46, Venkataram Shivakumar77, Helen Blair Simpson78,79, Noam Soreni63,80, Carles Soriano-Mas4,5,81, Nuno Sousa38,39,40, Gianfranco Spalletta82,83, Emily R Stern36,37, Michael C Stevens84,85, S Evelyn Stewart51,52,86, Philip R Szeszko87,88, Jumpei Takahashi89, Tais Tanamatis17, Jinsong Tang90,91, Anders Lillevik Thorsen26,92, David Tolin85,93, Ysbrand D van der Werf1, Hein van Marle1, Guido A van Wingen35, Daniela Vecchio14, G Venkatasubramanian94, Susanne Walitza27,28, Jicai Wang30, Zhen Wang50, Anri Watanabe3, Lidewij H Wolters49,95, Xiufeng Xu30, Je-Yeon Yun96,97, Qing Zhao50, Tonya White98,99, Paul M Thompson100, Dan J Stein101.
Abstract
Larger thalamic volume has been found in children with obsessive-compulsive disorder (OCD) and children with clinical-level symptoms within the general population. Particular thalamic subregions may drive these differences. The ENIGMA-OCD working group conducted mega- and meta-analyses to study thalamic subregional volume in OCD across the lifespan. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2649 OCD patients and 2774 healthy controls across 29 sites (50 datasets) were processed using the FreeSurfer built-in ThalamicNuclei pipeline to extract five thalamic subregions. Volume measures were harmonized for site effects using ComBat before running separate multiple linear regression models for children, adolescents, and adults to estimate volumetric group differences. All analyses were pre-registered ( https://osf.io/73dvy ) and adjusted for age, sex and intracranial volume. Unmedicated pediatric OCD patients (<12 years) had larger lateral (d = 0.46), pulvinar (d = 0.33), ventral (d = 0.35) and whole thalamus (d = 0.40) volumes at unadjusted p-values <0.05. Adolescent patients showed no volumetric differences. Adult OCD patients compared with controls had smaller volumes across all subregions (anterior, lateral, pulvinar, medial, and ventral) and smaller whole thalamic volume (d = -0.15 to -0.07) after multiple comparisons correction, mostly driven by medicated patients and associated with symptom severity. The anterior thalamus was also significantly smaller in patients after adjusting for thalamus size. Our results suggest that OCD-related thalamic volume differences are global and not driven by particular subregions and that the direction of effects are driven by both age and medication status.Entities:
Mesh:
Year: 2022 PMID: 35190533 PMCID: PMC8861046 DOI: 10.1038/s41398-022-01823-2
Source DB: PubMed Journal: Transl Psychiatry ISSN: 2158-3188 Impact factor: 6.222
Fig. 1Schematic representation of thalamic nuclei grouping.
Figure adapted from Thalamic Subregions and Obsessive-Compulsive Symptoms in 2500 Children From the General Population by Weeland et al., 2021, Journal of the American Academy of Child and Adolescent Psychiatry.
Pooled descriptive statistics of obsessive-compulsive patients and healthy control participants for the adult (age 18 or higher), adolescent (age 12–17) and child (age under 12) age groups.
| Variables | Adult OCD | Adult HC | Adolescent OCD | Adolescent HC | Pediatric OCD | Pediatric HC | |
|---|---|---|---|---|---|---|---|
| Age (y) | Mean, SD | 31.9 (9.9)* | 30.7 (9.9) | 14.8 (1.7) | 14.6 (1.7) | 10.0 (1.3) | 9.6 (1.4) |
| Range | 18–67 | 18–69 | 12–17.9 | 12–17.5 | 5–11.6 | 6–11.9 | |
| (C)Y-BOCS | Mean, SD | 24.5 (6.6) | – | 22.7 (7.2) | – | 21.9 (6.9) | – |
| Range | 3–46 | – | 0–40 | – | 0–36 | – | |
| Education (y) | Mean, SD | 13.6 (3.1)* | 15.1 (3.0) | 9.2 (1.8) | 8.8 (1.9) | 5.0 (1.5) | 4.1 (1.6) |
| Range | 0–26 | 0–28 | 5–14 | 4–14 | 0–9 | 0–7 | |
| Female (%) | 50.3% | 50.4% | 45.3% | 48.6% | 47.9% | 55.6% | |
| Medicated (%) | 52.4% | – | 40.6% | – | 19.8% | – | |
| Child-onset (%) | 45.4% | – | – | – | – | – | |
| Comorbid depressive disorder (%) | 26.8% | – | 35.9% | – | 17.5% | – | |
| Comorbid anxiety disorder (%) | 24.7.0% | – | 46.4% | – | 41.7% | – | |
OCD obsessive-compulsive disorder, HC healthy control, y years, SD standard deviation, (C)Y-BOCS (Child version) Yale-Brown Obsessive-Compulsive Scale.
*Statistically significant group difference (p < 0.05).
Fig. 2Volumetric differences between obsessive-compulsive patients and healthy controls by age group.
*puncorrected < 0.05; **pFDR < 0.05; volumetric differences are adjusted for age, sex and intracranial volume. Thal Thalamus.
Multiple linear regression output of volumetric difference between obsessive-compulsive patients and healthy controls for children (<12 years), adolescents (12–17 years) and adults (age 18 or higher).
| Cohen’s | |||||
|---|---|---|---|---|---|
| Ventral | 0.28 [−0.009, 0.575] | 0.061 | 0.102 | 94 | 88 |
| Pulvinar | 0.28 [−0.008, 0.576] | 0.060 | 0.102 | 94 | 88 |
| Medial | 0.22 [−0.07, 0.515] | 0.143 | 0.178 | 94 | 87 |
| Lateral | 0.37 [0.081, 0.664] | 0.014 | 0.068 | 95 | 89 |
| Anterior | 0.16 [−0.133, 0.445] | 0.297 | 0.297 | 95 | 90 |
| Whole Thal | 0.32 [0.032, 0.611] | 0.032 | – | 96 | 90 |
| Ventral | −0.076 [−0.241, 0.09] | 0.374 | 0.467 | 314 | 253 |
| Pulvinar | −0.012 [−0.178, 0.154] | 0.884 | 0.884 | 312 | 252 |
| Medial | −0.08 [−0.245, 0.086] | 0.348 | 0.467 | 316 | 253 |
| Lateral | −0.16 [−0.322, 0.01] | 0.067 | 0.334 | 316 | 252 |
| Anterior | −0.086 [−0.253, 0.08] | 0.311 | 0.467 | 311 | 251 |
| Whole Thal | −0.069 [−0.234, 0.096] | 0.416 | – | 317 | 254 |
| Ventral | −0.075 [−0.133, −0.017] | 0.011 | 0.011 | 2200 | 2383 |
| Pulvinar | −0.093 [−0.151, −0.035] | 0.002 | 0.003 | 2211 | 2381 |
| Medial | −0.10 [−0.159, −0.043] | 0.001 | 0.002 | 2198 | 2390 |
| Lateral | −0.08 [−0.134, −0.019] | 0.010 | 0.011 | 2201 | 2402 |
| Anterior | −0.15 [−0.206, −0.09] | 5.66E−07 | 2.82E−06 | 2195 | 2400 |
| Whole Thal | −0.11 [−0.165, −0.05] | 0.0003 | – | 2265 | 2402 |
Models were adjusted for age, sex, and intracranial volume.
95% CI 95% confidence interval, FDR false discovery rate, n number of participants, OCD obsessive-compulsive disorder, HC healthy controls, Thal Thalamus.
Fig. 3Age trajectory of thalamus subregion volume for medicated obsessive-compulsive patients, unmedicated patients and healthy controls, split by sex and diagnosis.
Adjusted for intracranial volume. Shading represents error margins. OCD obsessive-compulsive disorder.