Practice doesn’t always make perfect (depending on your brain)
News Jul 29, 2015
How do you get to Carnegie Hall? New research on the brain’s capacity to learn suggests there’s more to it than the adage that “practise makes perfect.” A music-training study by scientists at the Montreal Neurological Institute and Hospital -The Neuro, at McGill University and colleagues in Germany found evidence to distinguish the parts of the brain that account for individual talent from the parts that are activated through training.
The research involved brain imaging studies of 15 young adults with little or no musical background who were scanned before and after they underwent six weeks of musical training. Participants were required to learn simple piano pieces. Brain activity in certain areas changed after learning, indicating the effect of training. But the activity in a different set of brain structures, measured before the training session had started, predicted which test subjects would learn quickly or slowly.
“Predisposition plays an important role for auditory-motor learning that can be clearly distinguished from training-induced plasticity,” says Dr. Robert Zatorre, a cognitive neuroscientist at The Neuro who co-directs Montreal’s International Laboratory for Brain, Music and Sound Research (BRAMS) and is lead author of the study in Cerebral Cortex. “Our findings pertain to the debate about the relative influence of ‘nature or nurture,’ but also have potential practical relevance for medicine and education.”
The research could help to create custom-made interventions for students and for neurological patients based on their predisposition and needs.
Future cognitive neuroscience studies will explore the extent to which individual differences in predisposition are a result of brain plasticity due to previous experiences and to people’s genetics.
The study was conducted by Dr. Zatorre’s trainees, Sibylle Herholz and Emily Coffey at The Neuro and BRAMS, and by Christo Pantev at the Institute for Biomagnetism and Biosignalanalysis, University of Münster, Germany.
Note: Material may have been edited for length and content. For further information, please contact the cited source.
Sibylle C. Herholz, Emily B.J. Coffey, Christo Pantev and Robert J. Zatorre. Dissociation of Neural Networks for Predisposition and for Training-Related Plasticity in Auditory-Motor Learning. Cerebral Cortex, Published Online July 1 2015. doi: 10.1093/cercor/bhv138
Researchers Find a Way to Separate Side Effects of Opioid Drugs Reducing RiskNews
Scientists have discovered a way to separate these two effects -- pain relief and breathing, opening a window of opportunity to make effective pain medications without the risk of respiratory failure.READ MORE
Biological Mechanism of a Leading Cause of Childhood Blindness RevealedNews
Scientists have revealed the pathology of cells and structures stricken by optic nerve hypoplasia, a leading cause of childhood blindness in developed nations.READ MORE
Machine Learning: Helping Determine How a Drug Affects the BrainNews
Machine learning could improve our ability to determine whether a new drug works in the brain, potentially enabling researchers to detect drug effects that would be missed entirely by conventional statistical tests, finds a new UCL study published today in Brain.READ MORE