6.
Patil A, Madathil D, Huang C
. Healthy Aging Alters the Functional Connectivity of Creative Cognition in the Default Mode Network and Cerebellar Network. Front Aging Neurosci. 2021; 13:607988.
PMC: 7929978.
DOI: 10.3389/fnagi.2021.607988.
View
7.
Lampit A, Hallock H, Suo C, Naismith S, Valenzuela M
. Cognitive training-induced short-term functional and long-term structural plastic change is related to gains in global cognition in healthy older adults: a pilot study. Front Aging Neurosci. 2015; 7:14.
PMC: 4353252.
DOI: 10.3389/fnagi.2015.00014.
View
8.
Cabeza R, Anderson N, Locantore J, McIntosh A
. Aging gracefully: compensatory brain activity in high-performing older adults. Neuroimage. 2002; 17(3):1394-402.
DOI: 10.1006/nimg.2002.1280.
View
9.
Esposito F, Aragri A, Pesaresi I, Cirillo S, Tedeschi G, Marciano E
. Independent component model of the default-mode brain function: combining individual-level and population-level analyses in resting-state fMRI. Magn Reson Imaging. 2008; 26(7):905-13.
DOI: 10.1016/j.mri.2008.01.045.
View
10.
He L, Wang X, Zhuang K, Qiu J
. Decreased Dynamic Segregation but Increased Dynamic Integration of the Resting-state Functional Networks During Normal Aging. Neuroscience. 2020; 437:54-63.
DOI: 10.1016/j.neuroscience.2020.04.030.
View
11.
Bubbico G, Chiacchiaretta P, Parenti M, Di Marco M, Panara V, Sepede G
. Effects of Second Language Learning on the Plastic Aging Brain: Functional Connectivity, Cognitive Decline, and Reorganization. Front Neurosci. 2019; 13:423.
PMC: 6529595.
DOI: 10.3389/fnins.2019.00423.
View
12.
Cai C, Huang C, Yang C, Lu H, Hong X, Ren F
. Altered Patterns of Functional Connectivity and Causal Connectivity in Salience Subnetwork of Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment. Front Neurosci. 2020; 14:288.
PMC: 7189119.
DOI: 10.3389/fnins.2020.00288.
View
13.
King B, Van Ruitenbeek P, Leunissen I, Cuypers K, Heise K, Santos Monteiro T
. Age-Related Declines in Motor Performance are Associated With Decreased Segregation of Large-Scale Resting State Brain Networks. Cereb Cortex. 2017; 28(12):4390-4402.
PMC: 6215458.
DOI: 10.1093/cercor/bhx297.
View
14.
Schmahmann J
. The cerebellum and cognition. Neurosci Lett. 2018; 688:62-75.
DOI: 10.1016/j.neulet.2018.07.005.
View
15.
Betzel R, Byrge L, He Y, Goni J, Zuo X, Sporns O
. Changes in structural and functional connectivity among resting-state networks across the human lifespan. Neuroimage. 2014; 102 Pt 2:345-57.
DOI: 10.1016/j.neuroimage.2014.07.067.
View
16.
La Corte V, Sperduti M, Malherbe C, Vialatte F, Lion S, Gallarda T
. Cognitive Decline and Reorganization of Functional Connectivity in Healthy Aging: The Pivotal Role of the Salience Network in the Prediction of Age and Cognitive Performances. Front Aging Neurosci. 2016; 8:204.
PMC: 5003020.
DOI: 10.3389/fnagi.2016.00204.
View
17.
Behzadi Y, Restom K, Liau J, Liu T
. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI. Neuroimage. 2007; 37(1):90-101.
PMC: 2214855.
DOI: 10.1016/j.neuroimage.2007.04.042.
View
18.
Dosenbach N, Nardos B, Cohen A, Fair D, Power J, Church J
. Prediction of individual brain maturity using fMRI. Science. 2010; 329(5997):1358-61.
PMC: 3135376.
DOI: 10.1126/science.1194144.
View
19.
Foo H, Mather K, Jiang J, Thalamuthu A, Wen W, Sachdev P
. Genetic influence on ageing-related changes in resting-state brain functional networks in healthy adults: A systematic review. Neurosci Biobehav Rev. 2020; 113:98-110.
DOI: 10.1016/j.neubiorev.2020.03.011.
View
20.
Carson N, Leach L, Murphy K
. A re-examination of Montreal Cognitive Assessment (MoCA) cutoff scores. Int J Geriatr Psychiatry. 2017; 33(2):379-388.
DOI: 10.1002/gps.4756.
View