Increasing evidence indicates that multiple structures in the brain are associated with intelligence and cognitive function at the network level. The association between the grey matter (GM) structural network and intelligence and cognition is not well understood. We applied a multivariate approach to identify the pattern of GM and link the structural network to intelligence and cognitive functions. Structural magnetic resonance imaging was acquired from 92 healthy individuals. Source-based morphometry analysis was applied to the imaging data to extract GM structural covariance. We assessed the intelligence, verbal fluency, processing speed, and executive functioning of the participants and further investigated the correlations of the GM structural networks with intelligence and cognitive functions. Six GM structural networks were identified. The cerebello-parietal component and the frontal component were significantly associated with intelligence. The parietal and frontal regions were each distinctively associated with intelligence by maintaining structural networks with the cerebellum and the temporal region, respectively. The cerebellar component was associated with visuomotor ability. Our results support the parieto-frontal integration theory of intelligence by demonstrating how each core region for intelligence works in concert with other regions. In addition, we revealed how the cerebellum is associated with intelligence and cognitive functions.

The quantitative analysis of NPTX2 hypermethylation may play a role in making highly sensitive and less invasive diagnosis of pancreatic cancer. Therefore, NPTX2 hypermethylation could be a promising molecular diagnostic marker.

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Evidence suggests that the cortico-striatalthalamo-cortical circuitry plays an important role in schizophrenia pathophysiology. Cerebellar contribution from deep cerebellar nuclei to the circuitry has not yet been examined. The authors investigated resting-state functional connectivity (RSFC) of cerebellar output nuclei with striatal-thalamiccortical regions in relation to white-matter integrity and regional gray-matter volumes in first-episode psychosis (FEP).Methods: Forty FEP patients and 40 age-and gendermatched healthy control subjects (HCs) participated. RSFC between cerebellar nuclei and striatal-thalamic-cortical regions was examined. Diffusion tensor imaging and volumetric scans were examined for possible structural constraints on RSFC. The authors also examined relationships between neuroimaging variables and cognitive and clinical measures.Results: FEP patients, compared with HCs, exhibited decreased RSFC between the left fastigial nucleus and right putamen, which was associated with poor letter fluency performance and lower global assessment of functioning scores. By contrast, patients showed widespread increased accumbens network connectivity in the left nucleus. The authors further observed both hypo-and hyper-RSFC between the cerebellar nuclei and fronto-parietal areas in patients, independent of striatal activity. Finally, the authors found impaired integrity of the left superior cerebellar peduncle and decreased bilateral putamen volume in patients, whereas structural-functional relationships found in HCs were absent in patients. Conclusions:This study provides evidence of disordered RSFC of cerebellar output nuclei to the striatum and neocortex at the early stage of schizophrenia. Furthermore, dysfunctional cerebellar influences on fronto-parietal areas that are independent of striatal dysfunction in patients with FEP were observed. The results suggest that cortico-striatal abnormalities in patients with FEP are produced by abnormal cerebellar influences.