Clinical Cognitive Neuroscience Center

Seoul National University

Brain Structural Networks Associated with Intelligence and Visuomotor Ability

Even though intelligence and cognitive function have been believed to be associated with multiple structures in brain at the network level, their associations with the grey matter (GM) structural network were not well understood. In this study, multivariate approach was applied to identify the pattern of GM and its link to intelligence and cognitive functions. We found that the cerebello-parietal component and the frontal component were related to intelligence and that the cerebellar component was associated with visuomotor ability. Our results support the parietal-frontal integration theory of intelligence and cognitive functions of cerebellum.

The structural components discovered by source-based morphometry. a) precuneus; b) fronto-temporal; c) cerebello-parietal; d) frontal; e) cerebellar; f) temporal component


The association between structural networks and IQ


The association between the cerebellar component and visuomotor ability

Yoon et al., 2017, Scientific Reports


The effect of meditation on brain structure: cortical thickness mapping and diffusion tensor imaging

Neuroscientific evidence suggests that meditation alters the functional and structural plasticity of distributed neural processes underlying attention and emotion. We aimed to examine the brain structural differences between long-term meditators and controls. Meditators showed greater cortical thickness in the anterior regions and thinner thickness in the posterior regions of the brain. Moreover, higher FA values in medial prefrontal cortex were observed in meditators. Our findings suggest that long-term meditators have structural differences in both gray and white matter.

Regional maps showing differences in a) cortical thickness and b) FA between meditation practitioners and control subjects.


Duration of meditation practice were correlated with cortical thickness of left superior frontal cortex.

Kang et al., 2013, Soc Cogn Affect Neurosci


Integration of cross-modal emotional information in the human brain: An fMRI study

The interaction of information derived from the voice and facial expression of a speaker contributes to the interpretation of the emotional state of the speaker and to the formation of inferences about information that may have been merely implied in the verbal communication. We investigated the brain processes responsible for the integration of emotional information originating from different sources. We found the different brain activations in the superior temporal gyrus, inferior frontal gyrus, and parahippocampal gyrus, under bimodal vs. unimodal condition. In addition, we found emotion-specific (e.g., angry- or happiness-specific) activations were found in different brain regions. The results suggest that each emotion uses a separate network to integrate bimodal information and shares a common network for cross-modal integration.

Experimental design consisting three emotions and three conditions (face, voice , and both).


Brain regions showing strong activation in bimodal conditions and pattern of the signal change across modality.

Park et al., 2010, Cortex


Cortical network dynamics during source memory retrieval: Current density imaging with individual MRI

We investigated the neural correlates of source memory retrieval using low-resolution electromagnetic tomography (LORETA) with EEG and MRI. Participants performed the source memory task for the voice of the speaker in spoken words. The results of source analysis suggest that the activation of the right inferior parietal region may reflect retrieval of source information. The source elicited by the difference ERPs between the source correct and incorrect conditions exhibited dynamic change of current density activation during source memory retrieval.

ERPs elicited by source correct, incorrect, and rejection conditions.


Statistical parametric map for ERP generator elicited by source correct, incorrect, and rejection conditions at latency of 604 ms and 1,100 ms.


Statistical parametric map for cortical generator elicited by difference ERP between source correct and incorrect conditions at different latencies.

Kim et al., 2009, Hum Brain Mapp


Objects and their icons in the brain: The neural correlates of visual concept formation

We are constantly exposed to symbols such as traffic signs, emoticons, or other abstract representations of objects as well as the written words. However, aside from the word reading, little is known about the way our brain responds when we read non-lexical iconic symbols. We found that the watching of icons recruited manifold brain areas including frontal and parietal cortices in addition to the temporo-occipital junction. Remarkably, the brain response for icons was contrasted with the response for corresponding concrete objects with the pattern of ‘hyper-cortical and hypo-subcortical’ brain activation.

The experimental design. Different photographs of the same type were used as stimuli.


The brain regions showing a main effect of objects versus their icons.

Shin et al., 2008, Neurosci Letters