Scans show learning 'sculpts' the brain's connections

Spontaneous brain activity formerly thought to be "white noise" measurably changes after a person learns a new task, researchers at Washington University School of Medicine in St. Louis and the University of Chieti, Italy, have shown.

Scientists also report that the degree of change reflects how well subjects have learned to perform the task. Their study is published online this week in the Proceedings of the National Academy of Sciences.

"Recent studies have shown that in the absence of any overt behavior, and even during sleep or anesthesia, the brain's spontaneous activity is not random, but organized in patterns of correlated activity that occur in anatomically and functionally connected regions," says senior author Maurizio Corbetta, M.D., Norman J. Stupp Professor of Neurology. "The reasons behind the spontaneous activity patterns remain mysterious, but we have now shown that learning causes small changes in those patterns, and that these changes are behaviorally important."

At the start of the experiment, Corbetta, graduate students Chris Lewis and Antonello Baldassarre and their colleagues in Italy used functional connectivity magnetic resonance imaging to scan the spontaneous brain activity of 14 volunteers as they sat quietly.

Next, researchers scanned the subjects as they spent one to two hours a day for five to seven days learning to watch a display inside the MRI scanner for the brief presence of an inverted "T" in a specific part of the screen. Two sets of brain areas were particularly active during the task: part of the visual cortex that corresponded to the portion of the visual field where subjects were looking for the "T", and areas in the dorsal part of the brain involved in directing attention to the location on the screen.

After the visual training, scientists again scanned the subjects' brains while they did nothing.

When the subjects rested at the start of the experiment, spontaneous activity in the two parts of the brain that are important to the visual task was either not linked or weakly correlated, with the two regions involved in the upcoming task only occasionally being active at the same time. After learning, though, each region was more likely to be active when the other region wasn't. Subjects who were more successful at the task exhibited a higher degree of this "anti-correlation" between the two regions after learning.

Corbetta suggests this learning-induced change in the brain's spontaneous activity may reflect what he calls a "memory trace" for the new skill. The trace makes it easier to use those parts of the brain together again when the same challenge recurs.

"It's as though these two brain systems are learning to get out of each other's way," says Corbetta. "After learning, the brain can identify the targets at a glance in a way that requires less direct attention and thus less interaction between the regions involved in the task."

In addition to helping "grease" anatomical connections between different brain regions, Corbetta speculates that the changes in spontaneous brain activity may maintain a record of prior experience that constrains the way the same circuitries are recruited at the time of a task.

"This suggests that disruption of spontaneous correlated activity may be a common mechanism through which brain function abnormalities manifest in a number of neurological, psychiatric or developmental conditions," he says.

More information: Lewis CM, Baldassarre A, Committeri G, Romani GL, Corbetta M. Learning sculpts the spontaneous activity of the resting human brain. Proceedings of the National Academy of Sciences, published online the week of Oct. 5, 2009.

Source: Washington University

   

• Tachyon8491 - Oct 09, 2009
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  Quite honestly, sometimes neurophysics research looks more like feeling around in a dark cave with a short stick looking for suspected solidities... Although fMRI and MEG using SQUIDs allow us to look at realtime cerebral subdomain activity and often correlate it to sensomotor or cognitive-computational, or associative-integrative activity, most of the brain's functional capacities are still a a mystery. Pribram's holographic model competes with the "grandmother neuron" idea, consciousness is still regarded as potentially epiphenomenal, and the idea that personal identity evaporates in an ultimate finality in its every dynamic attribute is still concordant with modern positivist views of mind and brain. On the other hand it has been said that perhaps the only way to explore consciousness, is with conciousness itself...
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