Macro and micro structures in the dorsal anterior cingulate cortex contribute to individual differences in self-monitoring

Disentangle the group and individual components of functional connectome with autoencoders

One of the central goals of neuroscience is to understand the group commonality and individual variability in functional connectome. However, the entangled nature of the group and individual components in functional connectome poses challenges. Some methods have attempted to disentangle these group and individual components, typically using functional connectivity (FC). Among them, some first compute FC from BOLD signals and then disentangle group and individual components with FC; these approaches are termed FC-level methods. In contrast, some methods first disentangle group and individual components at the BOLD level and then compute FC; these techniques are termed BOLD-level methods. BOLD-level research has demonstrated that directly modeling BOLD signals enables the capture of novel aspects of group and individual components and achieves a better disentangling effect. To this end, we propose a novel network framework, termed BRAin Signal DEcoupling (BRASDE), to disentangle group and individual components from BOLD signals, as well as complementary inductive biases that serves as disentangling strategies. Here, we assume that group components are consistent across different subjects and sessions in BOLD signals; individual components are consistent across different sessions within the same subject but variable across different subjects in BOLD signals. Utilizing the multiple sessions of fMRI data from the Human Connectome Project (HCP), we demonstrate that compared to the existing methods, BRASDE yields enhanced consistency across subjects for group components. At the same time, BRASDE amplifies the differentiation among individual components across subjects, and provides enhanced consistency within the same subjects across various sessions. Moreover, the superior performance achieved on novel sessions and subjects demonstrates the excellent generalization of BRASDE. Our methods also reveal significantly higher individual differences in the right hemisphere than in the left hemisphere. In addition, experiments validate the associations between individual components and cognitive behaviors. Overall, we propose an effective approach for disentangling group and individual components, which will facilitate further investigation into the general principles and neural mechanisms underlying individual variability in the human brain. The code can be found at https://github.com/PeiKeepMoving/BRASDE.

The link between the brain volume derived index and the determinants of social performance

Motivation, defined as the energizing of behavior in pursuit of a goal, is a fundamental element of our interaction with the world and with each other. Furthermore, as it is known that cooperation leads to higher levels of performance than do individual conditions, empathic concern is also crucial to all forms of helping relationships. A growing number of studies indicate that motivation and empathy are associated not only with organizational performance and study achievements, but also with the human brain. However, to date, no definite neuroimaging-derived measures are available to measure motivation and empathy objectively. The current research evaluated the association of motivation and empathy with the whole brain using the gray-matter brain healthcare quotient (GM-BHQ), an MRI-based quotient. Participants were 47 healthy adults. All subjects underwent structural T1-weighted imaging. Motivation levels were evaluated using four motivation scales: Behavioral Activation System (BAS), Self-Monitoring Scale (SMS), Self-Control Scale (SCS), and Behavioral Inhibition System (BIS). Interaction levels, including empathic concern, were evaluated using four subscales of the Interpersonal Reactivity Index (IRI). It was found that the GM-BHQ was most significantly sensitive to the BAS scale (p = 0.002). Furthermore, the GM-BHQ was moderately sensitive to the SMS (p = 0.028) and subscales of the IRI (p = 0.044 for Fantasy and p = 0.036 for Empathic Concern). However, no significant association was found between the GM-BHQ and other variables (BIS and SCS). These results suggest that the GM-BHQ might reflect motivation and empathic concern.

Behavioral inhibition corresponds to white matter fiber bundle integrity in older adults

Little is known about the contribution of white matter integrity to inhibitory cognitive control, particularly in healthy aging. The present study examines the correspondence between white matter fiber bundle length and behavioral inhibition in 37 community-dwelling older adults (aged 51-78 years). Participants underwent neuroimaging with 3 Tesla MRI, and completed a behavioral test of inhibition (i.e., Go/NoGo task). Quantitative tractography derived from diffusion tensor imaging (qtDTI) was used to measure white matter fiber bundle lengths (FBLs) in tracts known to innervate frontal brain regions, including the anterior corpus callosum (AntCC), the cingulate gyrus segment of the cingulum bundle (CING), uncinate fasciculus (UNC), and the superior longitudinal fasciculus (SLF). Performance on the Go/NoGo task was measured by the number of commission errors standardized to reaction time. Hierarchical regression models revealed that shorter FBLs in the CING (p < 0.05) and the bilateral UNC (p < 0.01) were associated with lower inhibitory performance after adjusting for multiple comparisons, supporting a disconnection model of response inhibition in older adults. Prospective longitudinal studies are needed to examine the evolution of inhibitory errors in older adult populations and potential for therapeutic intervention.

Mean diffusivity related to collectivism among university students in Japan

Collectivism is an important factor for coping with stress in one’s social life. To date, no imaging studies have revealed a direct association between collectivism and white matter structure. Collectivism is positively related to independence, harm avoidance, rejection sensitivity, cooperativeness, external locus of control, and self-monitoring and negatively related to need for uniqueness. Accordingly, we hypothesised that the neural structures underpinning collectivism are those that are also involved with its relationship using magnetic resonance imaging (MRI). This study aimed to identify the brain structures associated with collectivism in healthy young adults (n = 797), using regional grey and white matter volume, fractional anisotropy, and mean diffusivity (MD) analyses of MRI data. Scores on the collectivism scale were positively associated with MD values in the bilateral dorsolateral prefrontal cortex, left orbitofrontal cortex, inferior frontal gyrus, right superior temporal gyrus, ventral posterior cingulate cortex, globus pallidus, and calcarine cortex using the threshold-free cluster enhancement method with family-wise errors corrected to P < 0.05 at the whole-brain level. No significant associations between were found collectivism and other measures. Thus, the present findings supported our hypothesis that the neural correlates of collectivism are situated in regions involved in its related factors.

Intrinsic neural network dysfunction in quiescent Crohn's Disease

Psychological factors and comorbidities play an important role in inflammatory bowel diseases. Such comorbidity could be associated with a specific neural phenotype. Brain regions associated with emotion regulation and self-referential processing, including areas assigned to the “default mode network” (DMN), could be promising candidates in this regard. We investigated the functional integrity of multiple intrinsic neural networks in remitted patients with Crohn’s disease (CD) and sought to establish relationships between neural network connectivity and psychiatric symptoms. Fifteen CD patients in remission and 14 controls were investigated. We employed resting-state functional magnetic resonance imaging (fMRI) at 3 Tesla followed by a spatial Independent Component Analysis for fMRI data. Abnormal connectivity in CD patients was observed in DMN subsystems only (p < 0.05, cluster-corrected). Increased connectivity was found in the anterior cingulate and left superior medial frontal gyrus (aDMN) and the middle cingulate cortex (pDMN). Middle cingulate activity showed a significant association with anxiety scores in patients (p = 0.029). This study provides first evidence of selectively disrupted intrinsic neural network connectivity in CD and suggests abnormalities of self-referential neural networks. An increased sensitivity to self-related affective and somatic states in CD patients could account for these findings and explain a higher risk for anxiety symptoms.