Achard S, Bullmore E (2007) Efficiency and cost of economical brain functional networks. PLoS Comput Biol 3(2):e17. https://doi.org/10.1371/journal.pcbi.0030017
Article CAS PubMed PubMed Central Google Scholar
Agler R, De Boeck P (2017) On the interpretation and use of mediation: multiple perspectives on mediation analysis. Front Psychol. https://doi.org/10.3389/fpsyg.2017.01984
Article PubMed PubMed Central Google Scholar
Alakörkkö T, Saarimäki H, Glerean E, Saramäki J, Korhonen O (2017) Effects of spatial smoothing on functional brain networks. Eur J Neurosci 46(9):2471–2480. https://doi.org/10.1111/ejn.13717
Article PubMed PubMed Central Google Scholar
Andersson JLR, Sotiropoulos SN (2016) An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. Neuroimage 125:1063–1078. https://doi.org/10.1016/j.neuroimage.2015.10.019
Andrews-Hanna JR, Snyder AZ, Vincent JL, Lustig C, Head D, Raichle ME, Buckner RL (2007) Disruption of large-scale brain systems in advanced aging. Neuron 56(5):924–935
Article CAS PubMed PubMed Central Google Scholar
Arslan S, Ktena SI, Makropoulos A, Robinson EC, Rueckert D, Parisot S (2018) Human brain mapping: a systematic comparison of parcellation methods for the human cerebral cortex. Neuroimage 170:5–30. https://doi.org/10.1016/j.neuroimage.2017.04.014
Avants BB, Tustison NJ, Song G, Cook PA, Klein A, Gee JC (2011) A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage 54(3):2033–2044. https://doi.org/10.1016/j.neuroimage.2010.09.025
Bach M (1996) The Freiburg visual acuity test—automatic measurement of visual acuity. Optom Vis Sci 73(1):49–53
Article CAS PubMed Google Scholar
Barttfeld P, Uhrig L, Sitt JD, Sigman M, Jarraya B, Dehaene S (2015) Signature of consciousness in the dynamics of resting-state brain activity. Proc Natl Acad Sci USA 112(3):887–892. https://doi.org/10.1073/pnas.1418031112
Article CAS PubMed PubMed Central Google Scholar
Bartzokis G (2004) Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer’s disease. Neurobiol Aging 25(1):5–18
Article CAS PubMed Google Scholar
Bastiani M, Cottaar M, Fitzgibbon SP, Suri S, Alfaro-Almagro F, Sotiropoulos SN, Jbabdi S, Andersson JLR (2019) Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction. Neuroimage 184:801–812. https://doi.org/10.1016/j.neuroimage.2018.09.073
Beck AT (1978) The Beck depression inventory. Psychological Corporation, New York
Bendlin BB, Fitzgerald ME, Ries ML, Xu G, Kastman EK, Thiel BW, Rowley HA, Lazar M, Alexander AL, Johnson SC (2010) White matter in aging and cognition: a cross-sectional study of microstructure in adults aged eighteen to eighty-three. Dev Neuropsychol 35(3):257–277. https://doi.org/10.1080/87565641003696775
Article PubMed PubMed Central Google Scholar
Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B Stat Methodol 57(1):289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
Bennett IJ, Madden DJ (2014) Disconnected aging: cerebral white matter integrity and age-related differences in cognition. Neuroscience 276:187–205. https://doi.org/10.1016/j.neuroscience.2013.11.026
Article CAS PubMed Google Scholar
Bennett IJ, Motes MA, Rao NK, Rypma B (2012) White matter tract integrity predicts visual search performance in young and older adults. Neurobiol Aging 33(2):433.e421-433.e431. https://doi.org/10.1016/j.neurobiolaging.2011.02.001
Betzel RF, Byrge L, He Y, Goñi J, Zuo X-N, Sporns O (2014) Changes in structural and functional connectivity among resting-state networks across the human lifespan. Neuroimage 102(Part 2):345–357. https://doi.org/10.1016/j.neuroimage.2014.07.067
Blondel VD, Guillaume J-L, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech: Theory Exp 2008(10):P10008. https://doi.org/10.1088/1742-5468/2008/10/p10008
Bolt T, Nomi JS, Rubinov M, Uddin LQ (2017) Correspondence between evoked and intrinsic functional brain network configurations. Hum Brain Mapp 38(4):1992–2007. https://doi.org/10.1002/hbm.23500
Article PubMed PubMed Central Google Scholar
Braun U, Schafer A, Walter H, Erk S, Romanczuk-Seiferth N, Haddad L, Schweiger JI, Grimm O, Heinz A, Tost H, Meyer-Lindenberg A, Bassett DS (2015) Dynamic reconfiguration of frontal brain networks during executive cognition in humans. Proc Natl Acad Sci USA 112(37):11678–11683. https://doi.org/10.1073/pnas.1422487112
Article CAS PubMed PubMed Central Google Scholar
Bullmore E, Sporns O (2009) Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 10(3):186–198. https://doi.org/10.1038/nrn2575
Article CAS PubMed Google Scholar
Chan MY, Park DC, Savalia NK, Petersen SE, Wig GS (2014) Decreased segregation of brain systems across the healthy adult lifespan. Proc Natl Acad Sci USA 111(46):E4997–E5006. https://doi.org/10.1073/pnas.1415122111
Article CAS PubMed PubMed Central Google Scholar
Chan MY, Alhazmi FH, Park DC, Savalia NK, Wig GS (2017) Resting-state network topology differentiates task signals across the adult life span. J Neurosci 37(10):2734–2745. https://doi.org/10.1523/jneurosci.2406-16.2017
Article CAS PubMed PubMed Central Google Scholar
Chen G, Chen G, Xie C, Ward BD, Li W, Antuono P, Li SJ (2012) A method to determine the necessity for global signal regression in resting-state fMRI studies. Magn Reson Med 68(6):1828–1835. https://doi.org/10.1002/mrm.24201
Article PubMed PubMed Central Google Scholar
Christensen KJ, Moye J, Armson RR, Kern TM (1992) Health screening and random recruitment for cognitive aging research. Psychol Aging 7:204–208
Article CAS PubMed PubMed Central Google Scholar
Ciric R, Wolf DH, Power JD, Roalf DR, Baum GL, Ruparel K, Shinohara RT, Elliott MA, Eickhoff SB, Davatzikos C, Gur RC, Gur RE, Bassett DS, Satterthwaite TD (2017) Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. Neuroimage 154:174–187. https://doi.org/10.1016/j.neuroimage.2017.03.020
Ciric R, Rosen AFG, Erus G, Cieslak M, Adebimpe A, Cook PA, Bassett DS, Davatzikos C, Wolf DH, Satterthwaite TD (2018) Mitigating head motion artifact in functional connectivity MRI. Nat Protoc 13(12):2801–2826. https://doi.org/10.1038/s41596-018-0065-y
Article CAS PubMed PubMed Central Google Scholar
Cisler JM, Bush K, Steele JS (2014) A comparison of statistical methods for detecting context-modulated functional connectivity in fMRI. Neuroimage 84:1042–1052. https://doi.org/10.1016/j.neuroimage.2013.09.018
Civier O, Smith RE, Yeh C-H, Connelly A, Calamante F (2019) Is removal of weak connections necessary for graph-theoretical analysis of dense weighted structural connectomes from diffusion MRI? Neuroimage 194:68–81. https://doi.org/10.1016/j.neuroimage.2019.02.039
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