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For: Arbabyazd L, Shen K, Wang Z, Hofmann-Apitius M, Ritter P, McIntosh AR, Battaglia D, Jirsa V. Virtual Connectomic Datasets in Alzheimer's Disease and Aging Using Whole-Brain Network Dynamics Modelling. eNeuro 2021;8:ENEURO. [PMID: 34045210 DOI: 10.1523/ENEURO.0475-20.2021] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Raj A, Verma P, Nagarajan S. Structure-function models of temporal, spatial, and spectral characteristics of non-invasive whole brain functional imaging. Front Neurosci 2022;16:959557. [DOI: 10.3389/fnins.2022.959557] [Reference Citation Analysis]
2 Piccinini J, Deco G, Kringelbach M, Laufs H, Perl YS, Tagliazucchi E. Data-driven discovery of canonical large-scale brain dynamics.. [DOI: 10.1101/2022.07.27.501789] [Reference Citation Analysis]
3 Gao S, Lima D. A review of the application of deep learning in the detection of Alzheimer's disease. International Journal of Cognitive Computing in Engineering 2022;3:1-8. [DOI: 10.1016/j.ijcce.2021.12.002] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
4 Pathak A, Roy D, Banerjee A. Whole-Brain Network Models: From Physics to Bedside. Front Comput Neurosci 2022;16:866517. [DOI: 10.3389/fncom.2022.866517] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Kelso JAS. The Haken-Kelso-Bunz (HKB) model: from matter to movement to mind. Biol Cybern 2021;115:305-22. [PMID: 34406513 DOI: 10.1007/s00422-021-00890-w] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
6 Zaborszky L. Brain Structure and Function: the first 15 years-a retrospective. Brain Struct Funct 2021;226:2467-75. [PMID: 34374854 DOI: 10.1007/s00429-021-02362-0] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]