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Abstract #2048

Brain Connectivity and Intelligence: A Comprehensive Magnetic Resonance Imaging Analysis Illuminating the Neural Underpinnings

Sen Guo1, Yuxin Cui2, Zhe Sun1,3, Koji Kamagata1, Wataru Uchida1, Junko Kikuta1, Kaito Takabayashi1, Keigo Shimoji1,2,3, Hongkai Chen1, Zaimire Mahemuti1, Rui Zou2, Yuya Saito1, Rukeye Tuerxun1, Akihiko Wada1, and Shigeki Aoki1,2,3
1Department of Radiology, Juntendo University Graduate School of Medicine, Tokyo, Japan, 2Department of Data Science, Juntendo University Graduate School of Medicine, Tokyo, Japan, 3Faculty of Health Data Science, Juntendo University, Chiba, Japan

Synopsis

Keywords: Structural Connectivity, Diffusion/other diffusion imaging techniques

Motivation: To the best of our knowledge, no study in neuroscience has been conducted based on high intelligence (HI) and low intelligence (LI) groups young healthy adults.

Goal(s): This study aims to explore the effect of brain network structures on the intelligence quotient and brain efficiency of healthy adults.

Approach: We focused on the white matter’s topological traits, which demonstrate network performance and structural connectivity differences between the HI and LI groups.

Results: We found structural differences in connections between specific nodes in the HI and LI groups. Intelligence correlated positively with network efficiency and negatively with path length.

Impact: This study innovatively explores the relationship between brain network structures and intelligence in healthy young adults. This study revealed that higher intelligence is associated with efficient brain networks and greater resilience in targeted network disturbances.

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Keywords