Background:It has been postulated that musicianship can lead to enhanced brain and cognitive reserve,but the neural mechanisms of this effect have been poorly understood.Lifelong professional musicianship in conjuncti...Background:It has been postulated that musicianship can lead to enhanced brain and cognitive reserve,but the neural mechanisms of this effect have been poorly understood.Lifelong professional musicianship in conjunction with novel brain imaging techniques offers a unique opportunity to examine brain network differences between musicians and matched controls.Objective:In this study we aim to investigate how resting-state functional networks(FNs)manifest in lifelong active musicians.We will evaluate the FNs of lifelong musicians and matched healthy controls using resting-state functional magnetic resonance imaging.Methods:We derive FNs using the data-driven independent component analysis approach and analyze the functional network con-nectivity(FNC)between the default mode(DMN),sensory-motor(SMN),visual(VSN),and auditory(AUN)networks.We examine whether the linear regressions between FNC and age are different between the musicians and the control group.Results:The age trajectory of average FNC across all six pairs of FNs shows significant differences between musicians and controls.Musicians show an increase in average FNC with age while controls show a decrease(P=0.013).When we evaluated each pair of FN,we note that in musicians FNC values increased with age in DMN–AUN,DMN–VSN,and SMN–VSN and in controls FNC values decreased with age in DMN–AUN,DMN–SMN,AUN–SMN,and SMN–VSN.Conclusion:This result provides early evidence that lifelong musicianship may contribute to enhanced brain and cognitive reserve.Results of this study are preliminary and need to be replicated with a larger number of participants.展开更多
基金funded by Duke University and the U.S.Depart-ment of Education,LRC Grant CFDA 84.229A.
文摘Background:It has been postulated that musicianship can lead to enhanced brain and cognitive reserve,but the neural mechanisms of this effect have been poorly understood.Lifelong professional musicianship in conjunction with novel brain imaging techniques offers a unique opportunity to examine brain network differences between musicians and matched controls.Objective:In this study we aim to investigate how resting-state functional networks(FNs)manifest in lifelong active musicians.We will evaluate the FNs of lifelong musicians and matched healthy controls using resting-state functional magnetic resonance imaging.Methods:We derive FNs using the data-driven independent component analysis approach and analyze the functional network con-nectivity(FNC)between the default mode(DMN),sensory-motor(SMN),visual(VSN),and auditory(AUN)networks.We examine whether the linear regressions between FNC and age are different between the musicians and the control group.Results:The age trajectory of average FNC across all six pairs of FNs shows significant differences between musicians and controls.Musicians show an increase in average FNC with age while controls show a decrease(P=0.013).When we evaluated each pair of FN,we note that in musicians FNC values increased with age in DMN–AUN,DMN–VSN,and SMN–VSN and in controls FNC values decreased with age in DMN–AUN,DMN–SMN,AUN–SMN,and SMN–VSN.Conclusion:This result provides early evidence that lifelong musicianship may contribute to enhanced brain and cognitive reserve.Results of this study are preliminary and need to be replicated with a larger number of participants.
