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Inhibition capabilities have been shown to be a strong predictor of social and educational life outcomes (Mischel & Ebbesen, 1970; Shoda et al., 1990). Inhibition capabilities have an enormous impact on attention and impulsivity (Bari & Robbins, 2013). These two executive functions are associated with numerous psychiatric disorders but are not well understood in terms of white matter (WM) connectivity (Puiu et al., 2018). Novel techniques and statistical approaches in neuroimaging bring us closer to a biologically sustained model.
Objectives
This research aims to: 1) identify WM connections associated with attention/impulsivity performance and 2) characterize the differences in WM microstructure associated with the variation of the performance.
Methods
157 children (GESTE cohort, 8-12 years, 27 Dx ADHD, 2 Dx ASD) with b=1500mm2/s, 2mm isotropic dMRI acquisitions were included. Tractography was performed with TractoFlow pipeline (Theaud et al., 2020). Dimensionality reduction of diffusion metrics yielded two components : microstructural complexity (DTI Metrics, AFD & NuFo) and axonal density (AFD_fixel) (Chamberland et al., 2019). Attention/impulsivity were evaluated with the CPT3. Multivariate linear regression was performed in python.
Results
Lower microstructural complexity was associated with poorer attentional performance on regions of the parietal lobe to the occipital gyrus (P-O, p=0.044, R2=0.14, Figure 1.) and the Broadman’s area 8 to area 6 (SF8-SF6, p=0.002, R2=0.12, Figure 1.). Lower axonal density was associated with a less impulsive pattern on SF8-SF6 (p=0.001, R2=0.13, Figure 1.). Results remained significant when removing children with an ADHD or ASD diagnosis.
Conclusions
We identified underlying difference in WM microstructure that may be associated with the variation in attention/impulsivity performance in school-aged children.
Trying to assess the way sex differences in behavior are reflected in the brain, neuroscience reports produced diverse results triggering hot discussions on whether such differences exist and/or are worth considering in further studies. This chapter summarizes recent progress in the study of sex/gender effect on the brain as viewed from the perspective of (1) anatomy, which is based on the description of various global and local morphometric features of male and female brain structures; and (2) connections, which conceptualizes the brain as a large-scale network of structures interconnected within the human connectome which subserves the transmission and integration of information at both global and local levels. It is argued that the key to understanding the behavioral differentiation of the two sexes might lie in the differences in the architecture of their networks rather than in morphometric measures of particular structures and tissues.
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