title: Learning-induced autonomy of sensorimotor systems.
abstract: Distributed networks of brain areas interact with one another in a time-varying fashion to enable complex cognitive and sensorimotor functions. Here we used new network-analysis algorithms to test the recruitment and integration of large-scale functional neural circuitry during learning. Using functional magnetic resonance imaging data acquired from healthy human participants, we investigated changes in the architecture of functional connectivity patterns that promote learning from initial training through mastery of a simple motor skill. Our results show that learning induces an autonomy of sensorimotor systems and that the release of cognitive control hubs in frontal and cingulate cortices predicts individual differences in the rate of learning on other days of practice. Our general statistical approach is applicable across other cognitive domains and provides a key to understanding time-resolved interactions between distributed neural circuits that enable task performance.
authors: 1] Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA. [2] Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
authors: Danielle S
authors: DS
authors: Bassett
authors: 1] Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania, USA. [2] Applied Mathematics and Computational Science Graduate Group, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
authors: Muzhi
authors: M
authors: Yang
authors: 1] Department of Psychological and Brain Sciences and UCSB Brain Imaging Center, University of California, Santa Barbara, Santa Barbara, California, USA. [2] Human Brain Physiology and Stimulation Laboratory, Department of Physical Medicine and Rehabilitation, Johns Hopkins Medical Institution, Baltimore, Maryland, USA.
authors: Nicholas F
authors: NF
authors: Wymbs
authors: Department of Psychological and Brain Sciences and UCSB Brain Imaging Center, University of California, Santa Barbara, Santa Barbara, California, USA.
authors: Scott T
authors: ST
authors: Grafton
mesh_terms: D000328:Adult; D001931:Brain Mapping / Q000379:methods*; D003463:Cues; D005260:Female; D005625:Frontal Lobe / Q000502:physiology; D059907:Functional Neuroimaging; D006179:Gyrus Cinguli / Q000502:physiology; D006801:Humans; D007858:Learning / Q000502:physiology*; D008279:Magnetic Resonance Imaging; D008297:Male; D009048:Motor Skills; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer; D066191:Sensorimotor Cortex / Q000502:physiology*; D055815:Young Adult