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Journal Abstract Search

293 related items for PubMed ID: 36061504

  • 1. From descriptive connectome to mechanistic connectome: Generative modeling in functional magnetic resonance imaging analysis.
    Li G, Yap PT.
    Front Hum Neurosci; 2022; 16():940842. PubMed ID: 36061504
    [Abstract] [Full Text] [Related]

  • 2. Structural Basis of Large-Scale Functional Connectivity in the Mouse.
    Grandjean J, Zerbi V, Balsters JH, Wenderoth N, Rudin M.
    J Neurosci; 2017 Aug 23; 37(34):8092-8101. PubMed ID: 28716961
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  • 3. Whole-brain estimates of directed connectivity for human connectomics.
    Frässle S, Manjaly ZM, Do CT, Kasper L, Pruessmann KP, Stephan KE.
    Neuroimage; 2021 Jan 15; 225():117491. PubMed ID: 33115664
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  • 4. A generative model of the connectome with dynamic axon growth.
    Liu Y, Seguin C, Betzel RF, Akarca D, Di Biase MA, Zalesky A.
    bioRxiv; 2024 Feb 28. PubMed ID: 38464116
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  • 5. A generative model of whole-brain effective connectivity.
    Frässle S, Lomakina EI, Kasper L, Manjaly ZM, Leff A, Pruessmann KP, Buhmann JM, Stephan KE.
    Neuroimage; 2018 Oct 01; 179():505-529. PubMed ID: 29807151
    [Abstract] [Full Text] [Related]

  • 6. Meta-connectomics: human brain network and connectivity meta-analyses.
    Crossley NA, Fox PT, Bullmore ET.
    Psychol Med; 2016 Apr 01; 46(5):897-907. PubMed ID: 26809184
    [Abstract] [Full Text] [Related]

  • 7. Biophysical Modeling of Large-Scale Brain Dynamics and Applications for Computational Psychiatry.
    Murray JD, Demirtaş M, Anticevic A.
    Biol Psychiatry Cogn Neurosci Neuroimaging; 2018 Sep 01; 3(9):777-787. PubMed ID: 30093344
    [Abstract] [Full Text] [Related]

  • 8. Generative models of the human connectome.
    Betzel RF, Avena-Koenigsberger A, Goñi J, He Y, de Reus MA, Griffa A, Vértes PE, Mišic B, Thiran JP, Hagmann P, van den Heuvel M, Zuo XN, Bullmore ET, Sporns O.
    Neuroimage; 2016 Jan 01; 124(Pt A):1054-1064. PubMed ID: 26427642
    [Abstract] [Full Text] [Related]

  • 9. Inferring the dynamical effects of stroke lesions through whole-brain modeling.
    Idesis S, Favaretto C, Metcalf NV, Griffis JC, Shulman GL, Corbetta M, Deco G.
    Neuroimage Clin; 2022 Jan 01; 36():103233. PubMed ID: 36272340
    [Abstract] [Full Text] [Related]

  • 10. Regression DCM for fMRI.
    Frässle S, Lomakina EI, Razi A, Friston KJ, Buhmann JM, Stephan KE.
    Neuroimage; 2017 Jul 15; 155():406-421. PubMed ID: 28259780
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  • 12. Features of spatial and functional segregation and integration of the primate connectome revealed by trade-off between wiring cost and efficiency.
    Chen Y, Wang S, Hilgetag CC, Zhou C.
    PLoS Comput Biol; 2017 Sep 15; 13(9):e1005776. PubMed ID: 28961235
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  • 17. Dyconnmap: Dynamic connectome mapping-A neuroimaging python module.
    Marimpis AD, Dimitriadis SI, Goebel R.
    Hum Brain Mapp; 2021 Oct 15; 42(15):4909-4939. PubMed ID: 34250674
    [Abstract] [Full Text] [Related]

  • 18. Great expectations: using whole-brain computational connectomics for understanding neuropsychiatric disorders.
    Deco G, Kringelbach ML.
    Neuron; 2014 Dec 03; 84(5):892-905. PubMed ID: 25475184
    [Abstract] [Full Text] [Related]

  • 19. Connectomics in psychiatric research: advances and applications.
    Cao M, Wang Z, He Y.
    Neuropsychiatr Dis Treat; 2015 Dec 03; 11():2801-10. PubMed ID: 26604764
    [Abstract] [Full Text] [Related]

  • 20. Connections, Tracts, Fractals, and the Rest: A Working Guide to Network and Connectivity Studies in Neurosurgery.
    Hart MG, Romero-Garcia R, Price SJ, Santarius T, Suckling J.
    World Neurosurg; 2020 Aug 03; 140():389-400. PubMed ID: 32247795
    [Abstract] [Full Text] [Related]

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