My research involves the use of functional neuroimaging data to construct functional brain networks to characterize network integration and neural flexibility. I apply cutting edge multivariate methods from neuroscience, psychology, and mathematics, including functional state connectivity, graph theory, machine learning, and computational modeling, to examine differences in brain network topology and integration between healthy and diseased populations, and across time. My primary interests involve the role of the default mode network in attention, risk seeking, and self-awareness, as well as the relationship between brain network configurations and metrics of peripheral nervous system function, as a study of the integration of the brain and body. I am currently working to implement dynamic analyses of functional brain network configurations using hidden semi-Markov modeling techniques to explore the relationship between the default mode network, attention networks, and inattention symptoms among youth with ADHD. 

Peterson-Sockwell H, Tanase AD, Lyday RG, Heilman K, Porges SW, Simpson SL, Burdette JH, Rejeski WJ & Laurienti PJ. The Sober Salience Network: Exploring the link between vagal efficiency and brain network topology during alcohol image viewing following abstinence. Autonomic Neuroscience, (under review, 2024). https://dx.doi.org/10.2139/ssrn.4438356

Kirse HA, Bahrami M, Lyday RG, Simpson SL, Peterson-Sockwell H, Burdette, J & Laurienti P. Differences in brain network topology based on alcohol use history in adolescents. Brain Sciences, 2023; 13(12): 1676. https://doi.org/10.3390/brainsci13121676

Peterson-Sockwell H, Veach LJ, Simpson SL, Fanning J, Laurienti PJ & Gauvin L. Desire and craving measured using behavioral ratings and brain network topology differ significantly among moderate to heavy alcohol consumers. Alcohol: Clinical and Experimental Research, 2023; 47(5): 893-907. https://doi.org/10.1111/acer.15066

Peterson-Sockwell H, Rejeski WJ, Fanning J, Porges SW, Heilman KJ, Laurienti PJ & Gauvin L. Differential momentary reports of stress and affect associated with alcohol consumption in middle-aged versus younger adults. Substance Use and Misuse, 2023; 58(5): 666-675. https://doi.org/10.1080/10826084.2023.2177967  

Peterson H, Laurienti PJ, Rejeski WJ, Fanning J & Gauvin L. Childhood neglect is associated with low affect and high stress in habitual alcohol drinkers. International Journal of Alcohol and Drug Research, 2022; 10(1): 3-14. https://doi.org/10.7895/ijadr.399

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 Sciences, 2021; 11(6): 817. https://doi.org/10.3390/brainsci11060817

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; 43(12): 2559-2567. https://doi.org/10.1111/acer.14214

Joseph AL, Peterson HA, Garcia K, McNally S, Mburu T, Lippa S, Dsurney J & Chan L. Rey Tangled Line Test: A measure of processing speed in TBI. Rehabilitation Psychology, 2019; 64(4): 445-452. https://doi.org/10.1037/rep0000284

Peterson H & Blumenthal TD. Efficacy of stimulus intensity increases and decreases as inhibitors of the acoustic startle response. Psychophysiology, 2018; 55(12): e13266. https://doi.org/10.1111/psyp.13266

Peterson H & Blumenthal TD. Is any change a prepulse? An examination of white and pink noise prepulses and gaps. Wake Forest Journal of Science & Medicine, 2017; 3(1): 58-66.