Individual differences in frontoparietal plasticity in humans

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 plas...

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Vydané v:NPJ science of learning Ročník 7; číslo 1; s. 14 - 10
Hlavní autori: Boroshok, Austin L., Park, Anne T., Fotiadis, Panagiotis, Velasquez, Gerardo H., Tooley, Ursula A., Simon, Katrina R., Forde, Jasmine C. P., Delgado Reyes, Lourdes M., Tisdall, M. Dylan, Bassett, Dani S., Cooper, Emily A., Mackey, Allyson P.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Nature Publishing Group UK 23.06.2022
Nature Publishing Group
Nature Portfolio
Predmet:
631/378/1595/1636
631/477/2811
Accuracy
Animal models
Biomedical and Life Sciences
Brain
College Science
Dopamine
Educational objectives
Educational Technology
Engineering Education
Individual Differences
Learning
Life Sciences
Mathematical Models of Cognitive Processes and Neural Networks
Medical Schools
Memory
Myelination
Neural networks
Neurobiology
Neurology
Neuroplasticity
Neuropsychology
Neurosciences
Outcome Measures
Outcomes of Education
Prefrontal cortex
Reaction Time
Response time
Short Term Memory
Ventral tegmentum
ISSN:2056-7936, 2056-7936
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Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2056-7936
2056-7936
DOI:10.1038/s41539-022-00130-1