Skip to main content

Brain activity in teens predicts future mood health

An imbalance of functioning in attention-related brain systems may help forecast the course of teen depression, according to a study published in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, published by Elsevier. Proper coordination of frontoinsular brain networks help us regulate our attention between external goals and self-focused or emotional thinking. But abnormalities in the coordination between these networks were not only evident in teens with more severe depression, but also, critically, predicted increased depressive symptoms two weeks later.
"The teen years are a time of remarkable growth and opportunity, as young people forge new relationships, learn how to navigate intense emotions, and make the transition to independence. However, it is also during adolescence that a high and growing number of teens experience clinical depression and related mood problems for the first time," said first author Roselinde Kaiser, PhD, University of Colorado Boulder.
"Our challenge as clinicians, scientists, and parents, is: how do we predict which teens will experience mood problems in the near future?"
Dr. Kaiser and colleagues tested the idea of using fMRI to predict future mood health. They measured the activity of frontoinsular networks while adolescents played a difficult computer game involving emotional images. Current prediction tools mostly use self-report, which can be unreliable in teens.
"Our results showed that adolescents who showed imbalanced coordination across brain systems -- that is, lower coordination among areas involved in goal-directed attention, and higher coordination among areas involved in self-focused thought -- went on to report bigger increases in depression two weeks later, bigger mood swings, and higher intensity of negative mood in daily life," said Dr. Kaiser.
Network functioning provided a better prediction of future mood health beyond current symptoms -- a critical distinction, the authors wrote, as it suggests that frontoinsular network functioning could predict who might develop more severe depression between two teens with the same current symptoms.
"This very interesting study highlights the important role that frontoinsular circuits, measured using fMRI during the processing of emotional stimuli, may play in regulating our mood, and how impairment in the function of this network may underlie present and ongoing negative mood states," said Cameron Carter, MD, Editor of Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
Although the study assessed mood health at only two weeks later, the findings indicate that frontoinsular network functioning may be useful to predict future mood health in teens. If confirmed in longer clinical studies, the findings suggest that this measure could provide a neurobiological risk predictor to help guide interventions to prevent severe depression.
Story Source:
Materials provided by Elsevier
Note: Content may be edited.

Comments

Popular posts from this blog

Dark matter may be older than the Big Bang

Dark matter, which researchers believe make up about 80% of the universe's mass, is one of the most elusive mysteries in modern physics. What exactly it is and how it came to be is a mystery, but a new Johns Hopkins University study now suggests that dark matter may have existed before the Big Bang. The study, published August 7 in  Physical Review Letters , presents a new idea of how dark matter was born and how to identify it with astronomical observations. "The study revealed a new connection between particle physics and astronomy. If dark matter consists of new particles that were born before the Big Bang, they affect the way galaxies are distributed in the sky in a unique way. This connection may be used to reveal their identity and make conclusions about the times before the Big Bang too," says Tommi Tenkanen, a postdoctoral fellow in Physics and Astronomy at the Johns Hopkins University and the study's author. While not much is known about its origins,...

All of the starlight ever produced by the observable universe measured

All of the starlight ever produced by the observable universe measured The team's measurement, collected from Fermi data, has never been done before. This map of the entire sky shows the location of 739 blazars used in the Fermi Gamma-ray Space Telescope’s measurement of the extragalactic background light (EBL). The background shows the sky as it appears in gamma rays with energies above 10 billion electron volts, constructed from nine years of observations by Fermi’s Large Area Telescope. The plane of our Milky Way galaxy runs along the middle of the plot. From their laboratories on a rocky planet dwarfed by the vastness of space, Clemson University scientists have managed to measure all of the starlight ever produced throughout the history of the observable universe. Astrophysicists believe that our universe, which is about 13.7 billion years old, began forming the first stars when it was a few hundred million years old. Since then, the universe has become a st...

Reflecting antiferromagnetic arrangements

Reflecting antiferromagnetic arrangements : Brookhaven Lab physicists Claudio Mazzoli (left) and Mark Dean at the Coherent Soft X-ray Scattering (CSX) beamline at the National Synchrotron Light Source II. Mazzoli and Dean are part of the team of scientists led by Rutgers University that used the CSX beamline to image some magnetic domains in an iron-based 'antiferromagnetic' material. The ability to image these domains is key to developing spintronics, or spin electronics, for practical applications. A team led by Rutgers University and including scientists from the U.S. Department of Energy's (DOE) Brookhaven National Laboratory has demonstrated an x-ray imaging technique that could enable the development of smaller, faster, and more robust electronics. Described in a paper published on Nov. 27 in  Nature Communications , the technique addresses a primary limitation in the emerging research field of "spintronics," or spin electronics, using magneti...