Resting-state functional connectivity in lifelong musicians

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