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Decoding Depression: Unraveling the Biological Blueprint and Cognitive Impact

by Colleen Fleiss on November 12, 2023 at 11:04 AM
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Research investigating the depressed brain has identified particular genes, molecules, brain regions, and cognitive features linked to depression ().


The findings are presented EST at Neuroscience 2023 (), the annual meeting of the Society for Neuroscience and the world's largest source of emerging news about brain science and health.

High Prevalence of Severe Depression in the U.S.

More than 8% of adults in the United States suffer from severe depression, and the percentage is higher among specific groups, including adolescents and older adults. Depression is a complex condition that includes many different genetic components and environmental risk factors.

‘Closer identification of brain markers and risk factors for depression brings us nearer to more effective diagnosis and treatment of the disorder. #depression #mentalhealth ’

Scientists are working to understand the exact mechanisms in the brain that correspond with the risk or development of depression in the hopes of developing earlier identification and more effective treatment options.

New findings show that:

"This research will ultimately allow us to pursue a more targeted approach, especially with regards to early intervention and personalized treatment strategies in vulnerable populations," said Diego A. Pizzagalli, professor of psychiatry at Harvard Medical School and moderator of the press conference.

This research was supported by national funding agencies including the National Institutes of Health and private funding organizations. Find out more about depression and the brain on BrainFacts.org.

References:

  1. Neuroscience 2023 - (https:www.sfn.org/meetings/neuroscience-2023/general-information/media/)
  2. Gray matter volumetric correlates of depression and polygenic risks in children: preliminary evidence from ABCD study - (https:www.abstractsonline.com/pp8/#!/10892/presentation/40428)
  3. Individual variation in the size of salience network relates to depression - (https:www.abstractsonline.com/pp8/#!/10892/presentation/40472)
  4. Aging and depression trajectories on cognition - (https:www.abstractsonline.com/pp8/#!/10892/presentation/37015)
  5. MicroRNA expression profiles from peripheral blood may serve as biomarkers for depression risk in children and adolescents - (https:www.abstractsonline.com/pp8/#!/10892/presentation/38449)

Source: Eurekalert

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