Category: Brain Science

Wouldn’t it be great if a physician could accurately assess and predict an individual’s brain maturity and development on the basis of a single fMRI scan?

That’s what researchers set out to provide tools for in the study “Prediction of Individual Brain Maturity Using fMRI” published September 10, 2010 in Science.

The result was a functional connectivity maturation curve derived from 238 brain scans of healthy 7 to 30 year old people. A physician can know where a patient fits on this curve by computing a functional connectivity maturation index number using the curve’s associated parametric equation from 5 minutes of resting state fcMRI data.

Overall, the data showed that as a person matures there is a weakening of short range functional connections and a strengthening in long range functional connections. Interestingly, the region with the greatest predictive power for brain maturity was the right anterior prefrontal cortex (see blog post “Are you right? Introspective Accuracy and Individual Differences in Brain Structure“).

The data predicts that a human brain is fully mature at around 22 years.

Other related blog posts:

Are you right? Introspective Accuracy and Individual Differences in Brain Structure

Accuracy in introspectively deciding if a correct decision is made is highly variable between individuals according to the research article “Relating Introspective Accuracy to Individual Differences in Brain Structure” published in the September 17, 2010 issue of Science.

This study measured the accuracy of introspective reporting by 32 healthy people on whether they were right or not. Some performed at close to chance level while others were correct about three quarters of the time.

Next, the researchers looked for brain structures that correlated with introspective accuracy. They found that the amount of gray matter in the right anterior prefrontal cortex correlated with introspective accuracy.

It’s exciting to begin looking at consistent variability between individual brains correlated with the output of individual minds! This study suggests that those with certain structural features in the prefrontal area of their brain are better at knowing they are right.

People with central pain syndrome often experience pain without cessation. The cause is from damage to brain tissue or brain abnormalities that the person was born with. More than 50% of people with spinal cord injuries and 30% of people with multiple sclerosis experience central pain syndrome.

The research team that recently published the paper “Abnormal Activity of Primary Somatosensory Cortex in Central Pain Syndrome” in the September 2010 issue of Journal of Neurophysiology uses a rat model of the central pain syndrome to investigate possible mechanisms underlying this devastating problem.

A previous study by this group has shown that the zona incerta, a group of inhibitory neurons in the brain, sends less signals to the posterior thalamic nucleus in rats with central pain syndrome. The result, known as dis-inhibition or the removing of inhibition of the posterior thalamic nucleus by the zona incerta, results in increased spontaneous and sensory evoked activity in the thalamus.

In this study, the team looked at activity in the primary somatosensory cortex which is a major target of the posterior thalamic nucleus. They hypothesized that they would see higher spontaneous and sensory evoked activity in rats with central pain syndrome. Indeed, they saw spontaneous activity increase by 350% and sensory evoked activity increase up to 220% in the primary somatosensory cortex of rats with central pain syndrome.

Data from this study add to a body of data suggesting that the primary somatosensory cortex is at least partly responsible for the excruciating pain experienced by central pain syndrome patients. Understanding the brain mechanisms underlying the syndrome may lead to therapies for these patients. For example, a study that used hypnotic suggestions to alter perceived pain intensity produced correlative changes in primary somatosensory cortex activity.