White matter disruption in obsessive‐compulsive disorder revealed by meta‐analysis of tract‐based spatial statistics

Microstructural white matter abnormalities in pediatric and adult obsessive‐compulsive disorder: A systematic review and meta‐analysis

“…Compared with the study by Hu et al. (2020), we did not observe decreased FA in orbitofrontal WM, which again might be attributed to the different patient composition or study inclusion criteria. Our present study only included studies using the default permutation test in FSL to control the effects of different image analysis procedures across studies.…”

“…In addition, Hu et al. (2020) treated a previous study (Benedetti et al, 2013) as two datasets where there were drug‐naive and drug‐treated patients compared to one group of controls, so the same control group was included twice in the initial statistical comparisons. In order to explore the potential relationship between the FA alteration and percentage of medicated patients with OCD, we treated this study as a single dataset rather than as two datasets with 0% and 100% medicated patients, respectively.…”

“…They analyzed data from 25 WM ROIs rather than every WM voxel as reported in bioRxiv (Piras et al., 2019). Hu et.al integrated published TBSS studies of OCD that used either parametric and nonparametric tests and reported a meta‐analysis result derived from combined pediatric and adult subjects (Hu et al., 2020). Combining groups with significant differences in biological features such as over the course of adolescent maturation can lead to biases in findings.…”

Aberrant rich club organization in patients with obsessive-compulsive disorder and their unaffected first-degree relatives

“…Disruptions within rich club organization in psychiatric disorders have been reported in several studies, such as schizophrenia ( van den Heuvel et al, 2013 ), Alzheimer’s disease ( Cao et al, 2020 , Lee et al, 2018 , Yan et al, 2018 ), bipolar disorder ( Wang et al, 2018 , Zhang et al, 2018 ), attention-deficit hyperactivity disorder ( Wang et al, 2019 ) and major depression disorder ( Liu et al, 2020 ). White matter microstructure provides the structural backbone of the human brain; it underlies the brain’s cognitive functions, and its alterations contribute to the neurobiological basis of OCD ( Hu et al, 2020 ). It is therefore important to examine the rich club organization in the white matter brain network of OCD.…”

Altered White Matter Microstructures in Type 2 Diabetes Mellitus: A Coordinate‐Based Meta‐Analysis of Diffusion Tensor Imaging Studies

“…Compared with earlier methods such as activation likelihood estimation and multilevel kernel density analysis ( 41 , 42 ), the AES‐SDM has strengths as below: (a) In the AES-SDM, both positive and negative differences in the same map are combined to avoid a particular voxel from appearing to be significant in opposite directions ( 43 ); (b) The AES-SDM approach allows reported peak coordinates to be combined with statistical parametric maps, thus ensuring more exhaustive and accurate meta‐analyses ( 44 ); (c) SDM enables several complementary analyses, such as jack-knife, subgroup, and meta-regression analyses, which can be used to evaluate the robustness and heterogeneity of the results ( 40 ). The AES-SDM method has been fully validated in several neuropsychiatric disorders including Parkinson’s disease ( 45 , 46 ), major depressive disorder (MDD) ( 29 ), bipolar disorder ( 47 ), obsessive‐compulsive disorder ( 43 , 48 , 49 ), autism spectrum disorder ( 50 ), type 1 diabetes mellitus (T1DM) ( 51 ), and also in voxel-based morphometry (VBM) studies in T2DM patients ( 52 , 53 ).…”