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A recent study published in PLoS Biology has shed light on how the human brain physically changes during the learning process. Researchers from the National University of San Martin and the University of Buenos Aires utilized advanced imaging techniques to explore two distinct cellular processes that occur at different rates and locations within the brain when new skills are acquired.
The study involved 29 healthy adults aged 18 to 36, who practiced a five-digit finger-tapping sequence with their non-dominant left hand. Participants engaged in 15 practice blocks, with each session lasting about 15 to 20 minutes, including rest periods. Brain scans were conducted before the learning session, 30 minutes after, and again 24 hours later to monitor changes.
Results indicated two key processes in the brain’s response to learning. The first was a temporary increase in cell body density across all regions involved in the task, including the hippocampus and primary motor cortex, observed in the 30-minute post-learning scans. This change, which returned to baseline after 24 hours, is interpreted as a short-term response to the intense neural activity associated with learning.
In contrast, the second change was more localized and persistent. By 24 hours post-learning, an increase in neurite density—dendrites and axons—was noted specifically in the precuneus and posterior parietal cortex. This structural change remained stable and correlated with individual improvements in task performance.
The traditional method of diffusion tensor imaging (DTI) was limited in its ability to distinguish these separate processes, as it provided a singular global signal. In contrast, the new approach, known as SANDI (Soma and Neurite Density Imaging), allows for a more nuanced understanding of cellular changes by separating signals from different compartments within the brain.
The implications of this research extend beyond learning. The SANDI method may offer valuable insights into neurodegeneration, aging, and developmental processes, where distinguishing between adaptive changes and damage is crucial for understanding brain health.
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