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Connection

Paul Laurienti to Computer Simulation

This is a "connection" page, showing publications Paul Laurienti has written about Computer Simulation.
Connection Strength

0.387
  1. Mokhtari F, Akhlaghi MI, Simpson SL, Wu G, Laurienti PJ. Sliding window correlation analysis: Modulating window shape for dynamic brain connectivity in resting state. Neuroimage. 2019 04 01; 189:655-666.
    View in: PubMed
    Score: 0.150
  2. Simpson SL, Laurienti PJ. A two-part mixed-effects modeling framework for analyzing whole-brain network data. Neuroimage. 2015 Jun; 113:310-9.
    View in: PubMed
    Score: 0.115
  3. Hayasaka S, Peiffer AM, Hugenschmidt CE, Laurienti PJ. Power and sample size calculation for neuroimaging studies by non-central random field theory. Neuroimage. 2007 Sep 01; 37(3):721-30.
    View in: PubMed
    Score: 0.067
  4. Mokhtari F, Laurienti PJ, Rejeski WJ, Ballard G. Dynamic Functional Magnetic Resonance Imaging Connectivity Tensor Decomposition: A New Approach to Analyze and Interpret Dynamic Brain Connectivity. Brain Connect. 2019 02; 9(1):95-112.
    View in: PubMed
    Score: 0.037
  5. Casanova R, Ryali S, Serences J, Yang L, Kraft R, Laurienti PJ, Maldjian JA. The impact of temporal regularization on estimates of the BOLD hemodynamic response function: a comparative analysis. Neuroimage. 2008 May 01; 40(4):1606-18.
    View in: PubMed
    Score: 0.018
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.