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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Paul Laurienti and Sean Simpson.
Connection Strength

7.292
  1. Simpson SL, Bahrami M, Laurienti PJ. A mixed-modeling framework for analyzing multitask whole-brain network data. Netw Neurosci. 2019; 3(2):307-324.
    View in: PubMed
    Score: 0.669
  2. Simpson SL, Laurienti PJ. Disentangling Brain Graphs: A Note on the Conflation of Network and Connectivity Analyses. Brain Connect. 2016 Mar; 6(2):95-8.
    View in: PubMed
    Score: 0.532
  3. Simpson S, Burdette J, Laurienti P. The brain science interface. Signif (Oxf). 2015 Aug; 12(4):34-39.
    View in: PubMed
    Score: 0.525
  4. 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: 0.511
  5. Simpson SL, Lyday RG, Hayasaka S, Marsh AP, Laurienti PJ. A permutation testing framework to compare groups of brain networks. Front Comput Neurosci. 2013; 7:171.
    View in: PubMed
    Score: 0.467
  6. Simpson SL, Bowman FD, Laurienti PJ. Analyzing complex functional brain networks: Fusing statistics and network science to understand the brain*† Stat Surv. 2013; 7:1-36.
    View in: PubMed
    Score: 0.439
  7. Simpson SL, Moussa MN, Laurienti PJ. An exponential random graph modeling approach to creating group-based representative whole-brain connectivity networks. Neuroimage. 2012 Apr 02; 60(2):1117-26.
    View in: PubMed
    Score: 0.410
  8. Simpson SL, Hayasaka S, Laurienti PJ. Exponential random graph modeling for complex brain networks. PLoS One. 2011; 6(5):e20039.
    View in: PubMed
    Score: 0.392
  9. Bahrami M, Laurienti PJ, Shappell HM, Dagenbach D, Simpson SL. A mixed-modeling framework for whole-brain dynamic network analysis. Netw Neurosci. 2022 Jun; 6(2):591-613.
    View in: PubMed
    Score: 0.211
  10. Peterson H, Mayhugh RE, Bahrami M, Rejeski WJ, Simpson SL, Heilman K, Porges SW, Laurienti PJ. Correction: Peterson et al. Influence of Heart Rate Variability on Abstinence-Related Changes in Brain State in Everyday Drinkers. Brain Sci. 2021, 11, 817. Brain Sci. 2022 May 10; 12(5).
    View in: PubMed
    Score: 0.210
  11. Bahrami M, Simpson SL, Burdette JH, Lyday RG, Quandt SA, Chen H, Arcury TA, Laurienti PJ. Altered default mode network associated with pesticide exposure in Latinx children from rural farmworker families. Neuroimage. 2022 Apr 14; 256:119179.
    View in: PubMed
    Score: 0.209
  12. Tomlinson CE, Laurienti PJ, Lyday RG, Simpson SL. A regression framework for brain network distance metrics. Netw Neurosci. 2022 Feb; 6(1):49-68.
    View in: PubMed
    Score: 0.206
  13. Casanova R, Lyday RG, Bahrami M, Burdette JH, Simpson SL, Laurienti PJ. Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques. Front Neuroinform. 2021; 15:740143.
    View in: PubMed
    Score: 0.204
  14. Peterson H, Mayhugh RE, Bahrami M, Rejeski WJ, Simpson SL, Heilman K, Porges SW, Laurienti PJ. Influence of Heart Rate Variability on Abstinence-Related Changes in Brain State in Everyday Drinkers. Brain Sci. 2021 Jun 20; 11(6).
    View in: PubMed
    Score: 0.197
  15. Dagenbach DE, Tegeler CH, Morgan AR, Laurienti PJ, Tegeler CL, Lee SW, Gerdes L, Simpson SL. Effects of an Allostatic Closed-Loop Neurotechnology (HIRREM) on Brain Functional Connectivity Laterality in Military-Related Traumatic Stress. J Neuroimaging. 2021 03; 31(2):287-296.
    View in: PubMed
    Score: 0.191
  16. Bahrami M, Lyday RG, Casanova R, Burdette JH, Simpson SL, Laurienti PJ. Using Low-Dimensional Manifolds to Map Relationships Between Dynamic Brain Networks. Front Hum Neurosci. 2019; 13:430.
    View in: PubMed
    Score: 0.177
  17. Peterson H, Simpson SL, Laurienti PJ. Wake Forest Alcohol Imagery Set: Development and Validation of a Large Standardized Alcohol Imagery Dataset. Alcohol Clin Exp Res. 2019 12; 43(12):2559-2567.
    View in: PubMed
    Score: 0.176
  18. 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: 0.174
  19. 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: 0.167
  20. Bahrami M, Laurienti PJ, Simpson SL. A MATLAB toolbox for multivariate analysis of brain networks. Hum Brain Mapp. 2019 01; 40(1):175-186.
    View in: PubMed
    Score: 0.162
  21. Mokhtari F, Rejeski WJ, Zhu Y, Wu G, Simpson SL, Burdette JH, Laurienti PJ. Dynamic fMRI networks predict success in a behavioral weight loss program among older adults. Neuroimage. 2018 06; 173:421-433.
    View in: PubMed
    Score: 0.157
  22. Bahrami M, Laurienti PJ, Quandt SA, Talton J, Pope CN, Summers P, Burdette JH, Chen H, Liu J, Howard TD, Arcury TA, Simpson SL. The impacts of pesticide and nicotine exposures on functional brain networks in Latino immigrant workers. Neurotoxicology. 2017 Sep; 62:138-150.
    View in: PubMed
    Score: 0.149
  23. Mayhugh RE, Moussa MN, Simpson SL, Lyday RG, Burdette JH, Porrino LJ, Laurienti PJ. Moderate-Heavy Alcohol Consumption Lifestyle in Older Adults Is Associated with Altered Central Executive Network Community Structure during Cognitive Task. PLoS One. 2016; 11(8):e0160214.
    View in: PubMed
    Score: 0.141
  24. Stanley ML, Simpson SL, Dagenbach D, Lyday RG, Burdette JH, Laurienti PJ. Changes in brain network efficiency and working memory performance in aging. PLoS One. 2015; 10(4):e0123950.
    View in: PubMed
    Score: 0.128
  25. Moussa MN, Simpson SL, Mayhugh RE, Grata ME, Burdette JH, Porrino LJ, Laurienti PJ. Long-term moderate alcohol consumption does not exacerbate age-related cognitive decline in healthy, community-dwelling older adults. Front Aging Neurosci. 2014; 6:341.
    View in: PubMed
    Score: 0.126
  26. Telesford QK, Simpson SL, Burdette JH, Hayasaka S, Laurienti PJ. The brain as a complex system: using network science as a tool for understanding the brain. Brain Connect. 2011; 1(4):295-308.
    View in: PubMed
    Score: 0.095
  27. Telesford QK, Morgan AR, Hayasaka S, Simpson SL, Barret W, Kraft RA, Mozolic JL, Laurienti PJ. Reproducibility of graph metrics in FMRI networks. Front Neuroinform. 2010; 4:117.
    View in: PubMed
    Score: 0.095
  28. Burdette JH, Bahrami M, Laurienti PJ, Simpson SL, Nicklas BJ, Fanning J, Rejeski WJ. Longitudinal relationship of baseline functional brain networks with intentional weight loss in older adults. Obesity (Silver Spring). 2022 04; 30(4):902-910.
    View in: PubMed
    Score: 0.052
  29. Burdette JH, Laurienti PJ, Miron LL, Bahrami M, Simpson SL, Nicklas BJ, Fanning J, Rejeski WJ. Functional Brain Networks: Unique Patterns with Hedonic Appetite and Confidence to Resist Eating in Older Adults with Obesity. Obesity (Silver Spring). 2020 12; 28(12):2379-2388.
    View in: PubMed
    Score: 0.047
  30. Lee SW, Laurienti PJ, Burdette JH, Tegeler CL, Morgan AR, Simpson SL, Gerdes L, Tegeler CH. Functional Brain Network Changes Following Use of an Allostatic, Closed-Loop, Acoustic Stimulation Neurotechnology for Military-Related Traumatic Stress. J Neuroimaging. 2019 01; 29(1):70-78.
    View in: PubMed
    Score: 0.041
  31. Paolini BM, Laurienti PJ, Simpson SL, Burdette JH, Lyday RG, Rejeski WJ. Global integration of the hot-state brain network of appetite predicts short term weight loss in older adult. Front Aging Neurosci. 2015; 7:70.
    View in: PubMed
    Score: 0.032
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.