fMRI Imaging is Less Reliable Than Many Realize
-An interview with a physicist from the UC Berkeley Brain Imaging Center about the strengths and weaknesses of brain imaging science.
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-An interview with a physicist from the UC Berkeley Brain Imaging Center about the strengths and weaknesses of brain imaging science.
Stronger links between brain measures and traits can be obtained when state-of-the-art pattern recognition (or machine learning) algorithms are utilized,.
Since the development of functional magnetic resonance imaging in the 1990s, the reliance on neuroimaging has skyrocketed as researchers investigate how fMRI data from the brain at rest, and anatomical brain structure itself, can be used to predict individual traits, such as depression, cognitive decline, and brain disorders.
/PRNewswire/ - Find Therapeutics Inc., a biopharmaceutical company focused on the development of innovative therapies for autoimmune diseases, today announced...
After mining millions of electronic health record data points, researchers found people who were more physically active at baseline were less likely to develop depression, even after accounting for genetic risks.