This is a "connection" page, showing publications co-authored by Paul Laurienti and Sean Simpson.
Simpson SL, Bahrami M, Laurienti PJ. A mixed-modeling framework for analyzing multitask whole-brain network data. Netw Neurosci. 2019; 3(2):307-324.
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.
Simpson S, Burdette J, Laurienti P. The brain science interface. Signif (Oxf). 2015 Aug; 12(4):34-39.
Simpson SL, Laurienti PJ. A two-part mixed-effects modeling framework for analyzing whole-brain network data. Neuroimage. 2015 Jun; 113:310-9.
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.
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.
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.
Simpson SL, Hayasaka S, Laurienti PJ. Exponential random graph modeling for complex brain networks. PLoS One. 2011; 6(5):e20039.
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.
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.
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.
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.
Bahrami M, Laurienti PJ, Simpson SL. A MATLAB toolbox for multivariate analysis of brain networks. Hum Brain Mapp. 2019 01; 40(1):175-186.
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.
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.
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.
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.
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.
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.
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.
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.
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.