First Header Logo Second Header Logo

Connection

Paul Laurienti to Models, Neurological

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

0.829
  1. 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: 0.275
  2. Bahrami M, Laurienti PJ, Simpson SL. Analysis of brain subnetworks within the context of their whole-brain networks. Hum Brain Mapp. 2019 12 01; 40(17):5123-5141.
    View in: PubMed
    Score: 0.160
  3. 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: 0.117
  4. Hugenschmidt CE, Burdette JH, Morgan AR, Williamson JD, Kritchevsky SB, Laurienti PJ. Graph theory analysis of functional brain networks and mobility disability in older adults. J Gerontol A Biol Sci Med Sci. 2014 Nov; 69(11):1399-406.
    View in: PubMed
    Score: 0.110
  5. Joyce KE, Laurienti PJ, Hayasaka S. Complexity in a brain-inspired agent-based model. Neural Netw. 2012 Sep; 33:275-90.
    View in: PubMed
    Score: 0.097
  6. Laurienti PJ. Deactivations, global signal, and the default mode of brain function. J Cogn Neurosci. 2004 Nov; 16(9):1481-3.
    View in: PubMed
    Score: 0.057
  7. Maldjian JA, Laurienti PJ, Kraft RA, Burdette JH. An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. Neuroimage. 2003 Jul; 19(3):1233-9.
    View in: PubMed
    Score: 0.013
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.