Dynamic reconfiguration of human brain networks during learning

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 108; no. 18; pp. 7641 - 7646
• Main Authors: Bassett, Danielle S, Wymbs, Nicholas F, Porter, Mason A, Mucha, Peter J, Carlson, Jean M, Grafton, Scott T
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 03.05.2011; National Acad Sciences
• Subjects: Adaptability; Adaptation, Physiological - physiology; Adult; Architecture; Behavior; Biological Sciences; Brain; Brain - anatomy & histology; Brain - physiology; Community structure; Connectivity; Development; Evolution; Female; Human subjects; Humans; Learning; Learning - physiology; Learning modules; Magnetic Resonance Imaging; Male; Models, Neurological; Modular structures; Modularity; Motor ability; Motor skill learning; Nerve Net - anatomy & histology; Nerve Net - physiology; Neural networks; Neuronal Plasticity - physiology; neurophysiology; Nodes; Physical Sciences; Psychomotor Performance - physiology; Statistics; Time windows

Human learning is a complex phenomenon requiring flexibility to adapt existing brain function and precision in selecting new neurophysiological activities to drive desired behavior. These two attributes--flexibility and selection--must operate over multiple temporal scales as performance of a skill...