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Thomas Edison

Largest Brain Study Identifies Drivers of Brain Aging

RATE THIS! +8
Posted in Science on 2nd Sep, 2018 11:14 AM by Alex Muller

This is one of the first population-based imaging studies, and is essential to answer how to maintain brain structure and function. Conducted by scientists from Amen Clinics at Costa Mesa, California, Google, John’s Hopkins University, the team evaluated 62,454 brain SPECT (single photon emission computed tomography).

 

Lead author, psychiatrist Daniel G. Amen, MD, founder of Amen Clinics, commented, “Based on one of the largest brain imaging studies ever done, we can now track common disorders and behaviors that prematurely age the brain. Better treatment of these disorders can slow or even halt the process of brain aging. The cannabis abuse finding was especially important, as our culture is starting to see marijuana as an innocuous substance. This study should give us pause about it.”

 

The study, published in the Journal of Alzheimer’s Disease, used brain SPECT imaging to determine aging trajectories in the brain and which common brain disorders predict abnormally accelerated aging. It examined these functional neuroimaging scans from a large multi-site psychiatric clinic from patients who had many different psychiatric disorders, including bipolar disorder, schizophrenia and attention deficit hyperactivity disorder (ADHD).

 

The researchers studied 128 brain regions to predict the chronological age of the patient. Older age predicted from the scan was compared to the actual chronological age and interpreted as accelerated aging.

 

The study found that a number of brain disorders and behaviors predicted accelerated aging, especially schizophrenia, which showed an average of 4 years of premature aging, cannabis abuse which showed 2.8 years of accelerated aging, bipolar disorder showing 1.6 years accelerated aging, ADHD (1.4 years accelerated aging) and alcohol abuse (0.6 years accelerated aging).

 

Interestingly, the researchers did not observe accelerated aging in depression and aging, which they hypothesize may be due to different types of brain patterns for these disorders.


Tags: brainneurosciencehealthmedicineresearch

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