Title |
Multimodal imaging of the self-regulating developing brain
|
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Published in |
Proceedings of the National Academy of Sciences of the United States of America, November 2012
|
DOI | 10.1073/pnas.1208243109 |
Pubmed ID | |
Authors |
Anders M. Fjell, Kristine Beate Walhovd, Timothy T. Brown, Joshua M. Kuperman, Yoonho Chung, Donald J. Hagler, Vijay Venkatraman, J. Cooper Roddey, Matthew Erhart, Connor McCabe, Natacha Akshoomoff, David G. Amaral, Cinnamon S. Bloss, Ondrej Libiger, Burcu F. Darst, Nicholas J. Schork, B. J. Casey, Linda Chang, Thomas M. Ernst, Jeffrey R. Gruen, Walter E. Kaufmann, Tal Kenet, Jean Frazier, Sarah S. Murray, Elizabeth R. Sowell, Peter van Zijl, Stewart Mostofsky, Terry L. Jernigan, Anders M. Dale, Terry L. Jernigan, Connor McCabe, Linda Chang, Natacha Akshoomoff, Erik Newman, Anders M. Dale, Thomas Ernst, Anders M. Dale, Peter Van Zijl, Joshua Kuperman, Sarah Murray, Cinnamon Bloss, Nicholas J. Schork, Mark Appelbaum, Anthony Gamst, Wesley Thompson, Hauke Bartsch, Terry L. Jernigan, Anders M. Dale, Natacha Akshoomoff, Linda Chang, Thomas Ernst, Brian Keating, David Amaral, Elizabeth Sowell, Walter Kaufmann, Peter Van Zijl, Stewart Mostofsky, B.J. Casey, Erika J. Ruberry, Alisa Powers, Bruce Rosen, Tal Kenet, Jean Frazier, David Kennedy, Jeffrey Gruen |
Abstract |
Self-regulation refers to the ability to control behavior, cognition, and emotions, and self-regulation failure is related to a range of neuropsychiatric problems. It is poorly understood how structural maturation of the brain brings about the gradual improvement in self-regulation during childhood. In a large-scale multicenter effort, 735 children (4-21 y) underwent structural MRI for quantification of cortical thickness and surface area and diffusion tensor imaging for quantification of the quality of major fiber connections. Brain development was related to a standardized measure of cognitive control (the flanker task from the National Institutes of Health Toolbox), a critical component of self-regulation. Ability to inhibit responses and impose cognitive control increased rapidly during preteen years. Surface area of the anterior cingulate cortex accounted for a significant proportion of the variance in cognitive performance. This finding is intriguing, because characteristics of the anterior cingulum are shown to be related to impulse, attention, and executive problems in neurodevelopmental disorders, indicating a neural foundation for self-regulation abilities along a continuum from normality to pathology. The relationship was strongest in the younger children. Properties of large-fiber connections added to the picture by explaining additional variance in cognitive control. Although cognitive control was related to surface area of the anterior cingulate independently of basic processes of mental speed, the relationship between white matter quality and cognitive control could be fully accounted for by speed. The results underscore the need for integration of different aspects of brain maturation to understand the foundations of cognitive development. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 29% |
Peru | 1 | 14% |
Japan | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 57% |
Practitioners (doctors, other healthcare professionals) | 2 | 29% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 3% |
Spain | 2 | <1% |
United Kingdom | 2 | <1% |
Denmark | 2 | <1% |
Taiwan | 1 | <1% |
Netherlands | 1 | <1% |
Chile | 1 | <1% |
Brazil | 1 | <1% |
Russia | 1 | <1% |
Other | 2 | <1% |
Unknown | 321 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 82 | 24% |
Researcher | 61 | 18% |
Student > Master | 31 | 9% |
Student > Doctoral Student | 30 | 9% |
Professor > Associate Professor | 20 | 6% |
Other | 71 | 21% |
Unknown | 49 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 123 | 36% |
Medicine and Dentistry | 39 | 11% |
Neuroscience | 37 | 11% |
Agricultural and Biological Sciences | 19 | 6% |
Social Sciences | 10 | 3% |
Other | 38 | 11% |
Unknown | 78 | 23% |