It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Neuroplasticity, defined as the brain’s potential to change in response to its environment, has been extensively studied at the cellular and molecular levels. Work in animal models suggests that stimulation to the ventral tegmental area (VTA) enhances plasticity, and that myelination constrains plasticity. Little is known, however, about whether proxy measures of these properties in the human brain are associated with learning. Here, we investigated the plasticity of the frontoparietal system by asking whether VTA resting-state functional connectivity and myelin map values (T1w/T2w ratios) predicted learning after short-term training on the adaptive n-back (n = 46, ages 18–25). We found that stronger baseline connectivity between VTA and lateral prefrontal cortex predicted greater improvements in accuracy. Lower myelin map values predicted improvements in response times, but not accuracy. Our findings suggest that proxy markers of neural plasticity can predict learning in humans.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details





1 University of Pennsylvania, Department of Psychology, School of Arts and Sciences, Philadelphia, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972)
2 University of Pennsylvania, Neuroscience Graduate Group, Philadelphia, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972)
3 University of Pennsylvania, Department of Psychology, School of Arts and Sciences, Philadelphia, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972); University of Pennsylvania, Neuroscience Graduate Group, Philadelphia, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972)
4 Columbia University, Teachers College, New York, USA (GRID:grid.21729.3f) (ISNI:0000000419368729)
5 University of Pennsylvania, Department of Radiology, Perelman School of Medicine, Philadelphia, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972)
6 University of Pennsylvania, Department of Bioengineering, School of Engineering and Applied Sciences, Pennsylvania, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972); University of Pennsylvania, Department of Electrical & Systems Engineering, School of Engineering and Applied Sciences, Pennsylvania, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972); University of Pennsylvania, Department of Physics & Astronomy, School of Arts and Sciences, Pennsylvania, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972); University of Pennsylvania, Department of Neurology, Perelman School of Medicine, Pennsylvania, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972); University of Pennsylvania, Department of Psychiatry, Perelman School of Medicine, Pennsylvania, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972); Santa Fe Institute, Santa Fe, USA (GRID:grid.209665.e) (ISNI:0000 0001 1941 1940)
7 University of California, Berkeley, Herbert Wertheim School of Optometry & Vision Science, Helen Wills Neuroscience Institute, Berkeley, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878)