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In their study, the scientists identified networks in the human brain e-mail bekanntschaft were particularly active during different tasks. They then trained machine learning software to assign this activity to particular personality traits. Functional magnetic resonance imaging fMRI makes changes in the oxygen saturation in brain blood vessels visible e-mail bekanntschaft seconds.

Scientists use fMRI scans to investigate what brain regions are activated while e-mail bekanntschaft to solve brain teasers or following instructions. More precisely, the brain researchers developed a computer program that they trained to use the fMRI data to deduce how a test subject would bekanntschhaft perform in e-mail bekanntschaft commonly used personality test. In this way, psychologists record five traits that reflect the personality of a human. These "big five" are: Several steps were necessary until the computer was highly likely to make correct predictions: He and his team identified a total of nine single frauen bergkamen functional networks e-mail bekanntschaft the brain.

One of these networks is active, for example, when test subjects have to recognize faces; a different one is active when people have to remember something in the short term.

E-mail bekanntschaft the second step, the researchers used the anonymous data on roughly test subjects who had undergone both a brain scan and a personality test.

The scientists analysed fMRI images taken while the test subjects let their thoughts run free. The researchers recorded the activity patterns e-mail bekanntschaft in those functional networks of the brain that they had previously e-maul as reliable through the meta-analysis of hundreds of scans. Reviewing the literature therefore provided the scientists with the knowledge of e-mail bekanntschaft bekanntscaft of the brain that they needed for their assessment.

The researchers trained machine learning software to use the activity patterns of these test subjects to provide an indication of the results of personality tests. During the process, the scientists constantly gave the software feedback as to how correct its results were. The machine learning software then adapted its mathematical model. This revealed that the activity of bemanntschaft, specific networks is directly linked with how pronounced certain personality traits are.

Interestingly, other networks can be used to predict further personality traits — when the data on men and women are separated and inputted into the machine learning software separately in order to train it. This e-mail bekanntschaft why it is especially important to discuss the opportunities and limitations of such technologies in a transparent manner. Using their methodology, the scientists had identified specific functional networks that are impaired by the respective illness.

These results were published in the journal Human Brain Mapping. Navigation and service Go to: AI Can Predict Personality. Area Menu Media Press releases:

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