Brain Activity Said To Be Predictive Of Pain-Associated Fear

Brain Activity Said To Be Predictive Of Pain-Associated Fear


Brain Activity Said To Be Predictive Of Pain-Associated FearScientists used the machine learning technique that might potentially decode patterns of activity in fear-processing brain areas into scores on questionnaires. These questionnaires were used to evaluate a patient’s fear of pain. The details on the latest neuroscientific method are available in the journal eNeuro. This method may assist reconcile self-stated emotions and their neural underpinnings.

Pain-associated fear is generally studied with the help of different questionnaires, frequently used interchangeably, that ask individuals how they experience about their clinical pain. But, it is not clear to what level these self-reports determine fear and anxiety, which are known to involve various brain area, and possibly other psychological assembles.

Michael Meier and associates from Petra Schweinhardts’ lab at the Balgrist University Hospital in Zurich, Switzerland, concentrated on this indistinctness. They imaged the brains of individuals with low back pain as they saw video clips. The video clips involved were suggesting some dangerous (bending) and safe (walking) activities for the back.

On a similar note, a longitudinal neuroimaging study carried out on more than 600 young individuals, with good health conditions, demonstrates that the association between socioeconomic status (SES) and brain anatomy is often firm from a person’s childhood to their early adulthood. This research is available in The Journal of Neuroscience. The results point out the importance of preschool days as a period when connections between SES and brain organization might initially develop.

Armin Raznahan, Cassidy McDermott, and colleagues worked on the brain scans of the same persons collected over the time between 5 and 25 years of their age. Comparing this information to the parental occupation & education and each contributor’s intelligence quotient (IQ) offered the researchers to highlight positive connections between SES and the surface area & size of brain areas engaged in cognitive functions, such as language, learning, and emotions.

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