BOLD Variability is Related to Dopaminergic Neurotransmission and Cognitive Aging

被引:74
作者
Guitart-Masip, Marc [1 ,2 ]
Salami, Alireza [1 ,3 ]
Garrett, Douglas [4 ]
Rieckmann, Anna [5 ]
Lindenberger, Ulman [4 ]
Backman, Lars [1 ]
机构
[1] Karolinska Inst, Aging Res Ctr, SE-11330 Stockholm, Sweden
[2] UCL, Wellcome Trust Ctr Neuroimaging, London WC1N 3BG, England
[3] Umea Ctr Funct Brain Imaging, S-90187 Umea, Sweden
[4] Max Plank Inst Human Dev, D-14195 Berlin, Germany
[5] Harvard Univ, Ctr Brain Sci, Cambridge, MA 02138 USA
基金
瑞典研究理事会;
关键词
BOLD variability; cognitive aging; default mode network; dopamine; spatial working memory; AGE-RELATED DIFFERENCES; PARTIAL LEAST-SQUARES; LONG-TERM-MEMORY; WORKING-MEMORY; MULTIVARIATE-ANALYSIS; SIGNAL VARIABILITY; LINEAR-REGRESSION; D-1; RECEPTORS; DEFAULT MODE; OLD RATS;
D O I
10.1093/cercor/bhv029
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Dopamine (DA) losses are associated with various aging-related cognitive deficits. Typically, higher moment-to-moment brain signal variability in large-scale patterns of voxels in neocortical regions is linked to better cognitive performance and younger adult age, yet the physiological mechanisms regulating brain signal variability are unknown. We explored the relationship among adult age, DA availability, and blood oxygen level-dependent (BOLD) signal variability, while younger and older participants performed a spatial working memory (SWM) task. We quantified striatal and extrastriatal DA D1 receptor density with [C-11]SCH23390 and positron emission tomography in all participants. We found that BOLD variability in a neocortical region was negatively related to age and positively related to SWM performance. In contrast, BOLD variability in subcortical regions and bilateral hippocampus was positively related to age and slower responses, and negatively related to D1 density in caudate and dorsolateral prefrontal cortex. Furthermore, BOLD variability in neocortical regions was positively associated with task-related disengagement of the default-mode network, a network whose activation needs to be suppressed for efficient SWM processing. Our results show that age-related DA losses contribute to changes in brain signal variability in subcortical regions and suggest a potential mechanism, by which neocortical BOLD variability supports cognitive performance.
引用
收藏
页码:2074 / 2083
页数:10
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