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Network attributes underlying intellectual giftedness in the developing brain.
Ma, Jiyoung; Kang, Hee Jin; Kim, Jung Yoon; Jeong, Hyeonseok S; Im, Jooyeon Jamie; Namgung, Eun; Kim, Myeong Ju; Lee, Suji; Kim, Tammy D; Oh, Jin Kyoung; Chung, Yong-An; Lyoo, In Kyoon; Lim, Soo Mee; Yoon, Sujung.
Afiliação
  • Ma J; Ewha Brain Institute, Ewha Womans University, Seoul, South Korea.
  • Kang HJ; Interdisciplinary Program in Neuroscience, College of Natural Sciences, Seoul National University, Seoul, South Korea.
  • Kim JY; Ewha Brain Institute, Ewha Womans University, Seoul, South Korea.
  • Jeong HS; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea.
  • Im JJ; Ewha Brain Institute, Ewha Womans University, Seoul, South Korea.
  • Namgung E; Department of Radiology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea.
  • Kim MJ; Ewha Brain Institute, Ewha Womans University, Seoul, South Korea.
  • Lee S; Interdisciplinary Program in Neuroscience, College of Natural Sciences, Seoul National University, Seoul, South Korea.
  • Kim TD; Ewha Brain Institute, Ewha Womans University, Seoul, South Korea.
  • Oh JK; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea.
  • Chung YA; Ewha Brain Institute, Ewha Womans University, Seoul, South Korea.
  • Lyoo IK; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea.
  • Lim SM; Ewha Brain Institute, Ewha Womans University, Seoul, South Korea.
  • Yoon S; Department of Brain and Cognitive Sciences, Ewha Womans University, Seoul, South Korea.
Sci Rep ; 7(1): 11321, 2017 09 12.
Article em En | MEDLINE | ID: mdl-28900176
ABSTRACT
Brain network is organized to maximize the efficiency of both segregated and integrated information processing that may be related to human intelligence. However, there have been surprisingly few studies that focus on the topological characteristics of brain network underlying extremely high intelligence that is intellectual giftedness, particularly in adolescents. Here, we examined the network topology in 25 adolescents with superior intelligence (SI-Adol), 25 adolescents with average intelligence (AI-Adol), and 27 young adults with AI (AI-Adult). We found that SI-Adol had network topological properties of high global efficiency as well as high clustering with a low wiring cost, relative to AI-Adol. However, contrary to the suggested role that brain hub regions play in general intelligence, the network efficiency of rich club connection matrix, which represents connections among brain hubs, was low in SI-Adol in comparison to AI-Adol. Rather, a higher level of local connection density was observed in SI-Adol than in AI-Adol. The highly intelligent brain may not follow this efficient yet somewhat stereotypical process of information integration entirely. Taken together, our results suggest that a highly intelligent brain may communicate more extensively, while being less dependent on rich club communications during adolescence.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Mapeamento Encefálico / Inteligência / Modelos Neurológicos Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Mapeamento Encefálico / Inteligência / Modelos Neurológicos Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article