TY - JOUR
T1 - Activity and connectivity differences underlying inhibitory control across the adult life span
AU - Cambridge Centre for Ageing Neuroscience
AU - Tsvetanov, Kamen A.
AU - Ye, Zheng
AU - Hughes, Laura
AU - Samu, David
AU - Treder, Matthias S.
AU - Wolpe, Noham
AU - Tyler, Lorraine K.
AU - Rowe, James B.
N1 - Publisher Copyright:
© 2018 Tsvetanov et al.
PY - 2018/9/5
Y1 - 2018/9/5
N2 - Inhibitory control requires precise regulation of activity and connectivity within multiple brain networks. Previous studies have typically evaluated age-related changes in regional activity or changes in interregional interactions. Instead, we test the hypothesis that activity and connectivity make distinct, complementary contributions to performance across the life span and the maintenance of successful inhibitory control systems. A representative sample of healthy human adults in a large, population-based life span cohort performed an integrated Stop-Signal (SS)/No-Go task during functional magnetic resonance imaging (n = 119; age range, 18 – 88 years). Individual differences in inhibitory control were measured in terms of the SS reaction time (SSRT), using the blocked integration method. Linear models and independent components analysis revealed that individual differences in SSRT correlated with both activity and connectivity in a distributed inhibition network, comprising prefrontal, premotor, and motor regions. Importantly, this pattern was moderated by age, such that the association between inhibitory control and connectivity, but not activity, differed with age. Multivariate statistics and out-of-sample validation tests of multifactorial functional organization identified differential roles of activity and connectivity in determining an individual’s SSRT across the life span. We propose that age-related differences in adaptive cognitive control are best characterized by the joint consideration of multifocal activity and connectivity within distributed brain networks. These insights may facilitate the development of new strategies to support cognitive ability in old age.
AB - Inhibitory control requires precise regulation of activity and connectivity within multiple brain networks. Previous studies have typically evaluated age-related changes in regional activity or changes in interregional interactions. Instead, we test the hypothesis that activity and connectivity make distinct, complementary contributions to performance across the life span and the maintenance of successful inhibitory control systems. A representative sample of healthy human adults in a large, population-based life span cohort performed an integrated Stop-Signal (SS)/No-Go task during functional magnetic resonance imaging (n = 119; age range, 18 – 88 years). Individual differences in inhibitory control were measured in terms of the SS reaction time (SSRT), using the blocked integration method. Linear models and independent components analysis revealed that individual differences in SSRT correlated with both activity and connectivity in a distributed inhibition network, comprising prefrontal, premotor, and motor regions. Importantly, this pattern was moderated by age, such that the association between inhibitory control and connectivity, but not activity, differed with age. Multivariate statistics and out-of-sample validation tests of multifactorial functional organization identified differential roles of activity and connectivity in determining an individual’s SSRT across the life span. We propose that age-related differences in adaptive cognitive control are best characterized by the joint consideration of multifocal activity and connectivity within distributed brain networks. These insights may facilitate the development of new strategies to support cognitive ability in old age.
KW - Aging
KW - Functional magnetic resonance imaging (fMRI)
KW - Individual differences
KW - Inhibitory control
KW - Network connectivity
KW - Regional activity
UR - http://www.scopus.com/inward/record.url?scp=85053076348&partnerID=8YFLogxK
U2 - 10.1523/JNEUROSCI.2919-17.2018
DO - 10.1523/JNEUROSCI.2919-17.2018
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C2 - 30049889
AN - SCOPUS:85053076348
SN - 0270-6474
VL - 38
SP - 7887
EP - 7900
JO - Journal of Neuroscience
JF - Journal of Neuroscience
IS - 36
ER -