↓ Skip to main content

Sex differences in estimated brain metabolism in relation to body growth through adolescence

Overview of attention for article published in Cerebrovascular and Brain Metabolism Reviews, October 2017
Altmetric Badge

Mentioned by

twitter
3 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Sex differences in estimated brain metabolism in relation to body growth through adolescence
Published in
Cerebrovascular and Brain Metabolism Reviews, October 2017
DOI 10.1177/0271678x17737692
Pubmed ID
Authors

Simon N Vandekar, Haochang Shou, Theodore D Satterthwaite, Russell T Shinohara, Alison K Merikangas, David R Roalf, Kosha Ruparel, Adon Rosen, Efstathios D Gennatas, Mark A Elliott, Christos Davatzikos, Ruben C Gur, Raquel E Gur, John A Detre

Abstract

The human brain consumes a disproportionate amount of the body's overall metabolic resources, and evidence suggests that brain and body may compete for substrate during development. Using perfusion MRI from a large cross-sectional cohort, we examined developmental changes of MRI-derived estimates of brain metabolism, in relation to weight change. Nonlinear models demonstrated that, in childhood, changes in body weight were inversely related to developmental age-related changes in brain metabolism. This inverse relationship persisted through early adolescence, after which body and brain metabolism began to decline. Females achieved maximum body growth approximately two years earlier than males, with a correspondingly earlier stabilization of brain metabolism to adult levels. These findings confirm prior findings with positron emission tomography performed in a much smaller cohort, demonstrate that relative brain metabolism can be inferred from noninvasive MRI data, and extend observations on the associations between body growth and brain metabolism to sex differences through adolescence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Professor 4 15%
Student > Master 4 15%
Student > Doctoral Student 2 7%
Student > Ph. D. Student 1 4%
Other 3 11%
Unknown 8 30%
Readers by discipline Count As %
Neuroscience 6 22%
Biochemistry, Genetics and Molecular Biology 2 7%
Medicine and Dentistry 2 7%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Other 4 15%
Unknown 11 41%