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.

Details

Title
Individual differences in frontoparietal plasticity in humans
Author
Boroshok, Austin L. 1   VIAFID ORCID Logo  ; Park, Anne T. 1 ; Fotiadis, Panagiotis 2   VIAFID ORCID Logo  ; Velasquez, Gerardo H. 1   VIAFID ORCID Logo  ; Tooley, Ursula A. 3   VIAFID ORCID Logo  ; Simon, Katrina R. 4   VIAFID ORCID Logo  ; Forde, Jasmine C. P. 1 ; Delgado Reyes, Lourdes M. 1 ; Tisdall, M. Dylan 5 ; Bassett, Dani S. 6 ; Cooper, Emily A. 7 ; Mackey, Allyson P. 1 

 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) 
 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) 
 Columbia University, Teachers College, New York, USA (GRID:grid.21729.3f) (ISNI:0000000419368729) 
 University of Pennsylvania, Department of Radiology, Perelman School of Medicine, Philadelphia, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972) 
 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) 
 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) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20567936
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2679961267
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.