Microstructural and neurochemical plasticity mechanisms interact to enhance human perceptual decision-making.
Microstructural and neurochemical plasticity mechanisms interact to enhance human perceptual decision-making.
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DOI:
10.1371/journal.pbio.3002029
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发表时间:
2023-03
期刊:
影响因子:
9.8
通讯作者:
中科院分区:
文献类型:
--
作者:
Experience and training are known to boost our skills and mold the brain’s organization and function. Yet, structural plasticity and functional neurotransmission are typically studied at different scales (large-scale networks, local circuits), limiting our understanding of the adaptive interactions that support learning of complex cognitive skills in the adult brain. Here, we employ multimodal brain imaging to investigate the link between microstructural (myelination) and neurochemical (GABAergic) plasticity for decision-making. We test (in males, due to potential confounding menstrual cycle effects on GABA measurements in females) for changes in MRI-measured myelin, GABA, and functional connectivity before versus after training on a perceptual decision task that involves identifying targets in clutter. We demonstrate that training alters subcortical (pulvinar, hippocampus) myelination and its functional connectivity to visual cortex and relates to decreased visual cortex GABAergic inhibition. Modeling interactions between MRI measures of myelin, GABA, and functional connectivity indicates that pulvinar myelin plasticity interacts—through thalamocortical connectivity—with GABAergic inhibition in visual cortex to support learning. Our findings propose a dynamic interplay of adaptive microstructural and neurochemical plasticity in subcortico-cortical circuits that supports learning for optimized decision-making in the adult human brain. This multimodal brain imaging study reveals an interactive network of plasticity mechanisms: subcortical microstructural (myelination) plasticity and cortical neurochemical (GABAergic inhibition) plasticity interact through thalamocortical connectivity to support optimized perceptual decisions.
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DOI:
10.1093/cercor/bhw157
发表时间:
2016-08
期刊:
Cerebral cortex (New York, N.Y. : 1991)
影响因子:
--
作者:
Fan L;Li H;Zhuo J;Zhang Y;Wang J;Chen L;Yang Z;Chu C;Xie S;Laird AR;Fox PT;Eickhoff SB;Yu C;Jiang T
通讯作者:
Jiang T
影响因子:
10.6
作者:
Epperson, CN;O'Malley, S;Mason, GF
通讯作者:
Mason, GF
影响因子:
7.7
作者:
Frangou P;Correia M;Kourtzi Z
通讯作者:
Kourtzi Z
影响因子:
--
作者:
Epperson, CN;Haga, K;Krystal, JH
通讯作者:
Krystal, JH
影响因子:
19.9
作者:
Bridge H;Leopold DA;Bourne JA
通讯作者:
Bourne JA