Publications

  1. Finley, J., Gotsis, M., Lympouridis, V., Jain, S., Kim, A., & Fisher, B. (2020, November 20). Design and Development of a Virtual Reality-Based Mobility Training Game for People With Parkinson's Disease. Retrieved January 21, 2021, from https://doi.org/10.3389/fneur.2020.577713
  2. Gomes, G. P. R., Rubin, S., Duker, L. I. S., Benton, D., Kratky, A., Chen, S. Y. A., Jordan-Marsh, M., & Gotsis, M. (2020). Healing spaces: Feasibility of a multisensory experience for older adults with advanced dementia and their caregivers. Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 1–9. https://doi.org/10.1145/3389189.3392607
  3. Mozgai, S., Hartholt, A., Rizzo, A. (2020). The Passive Sensing Agent: A multimodal adaptive
    mHealth application. In The Proceedings of the 2020 IEEE International Conference on
    Pervasive Computing and Communications, PerCom. Austin, Texas.
  4. Mozgai, S., Hartholt, A., Leeds, A., Rizzo, A. (2020). Back to the Drawing Board: Iterative
    Participatory Design for VRET Domain Transfer. In Proceedings of the 2020 CHI Conference of
    Human Factors in Computing Systems. CS22: 1-8. ACM. Honolulu, HI, USA.
  5. An., E., Nolty, A.A.T., Amano, S.S., Rizzo, A.A., Buckwalter, J.G., & Rensberger, J. (2020). Heart
    Rate Variability as an Index of Resilience. Military Medicine, 185(3-4), 363–369.
    https://doi.org/10.1093/milmed/usz325
  6. Chang, C-W., Li, M., Yeh, S-C., Chen, Y. & Rizzo, A. (2020). Examining the Effects of HMDs/FSDs
    and Gender Differences on Cognitive Processing Ability and User Experience of the Stroop
    Task-Embedded Virtual Reality Driving System (STEVRDS). IEEE Access, 8: 69566-69578.
    Digital Object Identifier 10.1109/ACCESS.2020.2966564
  7. Hilty, D.M., Randhawa, K., Maheu, M.M., McKean, A.J.S., Pantera, R., Mishkind, M.C. & Rizzo, A.S.
    (2020). A Review of Telepresence, Virtual Reality, and Augmented Reality Applied to Clinical
    Care. Journal of Technology in Behavioral Science. https://doi.org/10.1007/s41347-020-00126-x
  8. Mozgai, S., Hartholt, A., Rizzo, A. (2020). An Adaptive Agent-Based Interface for Personalized
    Health Interventions. In: The Proceedings of the 2020 ACM Intelligent User Interfaces
    Conference. 118-119. https://dl.acm.org/doi/abs/10.1145/3379336.3381467
  9. Tavabi, L., Poon, A., Rizzo, A.S. and Soleymani, M. (2020). Computer-Based PTSD Assessment in
    VR Exposure Therapy. In The Proceedings of The 22nd International Conference on Human
    Computer Interaction. Copenhagen, Denmark.
  10. Mozgai, S., Hartholt, A., Akinyemi, D., Kubicek, K., Rizzo, A, Kipke, M. (2020). Development and
    Initial Feasibility Testing of the Virtual Research Navigator (VRN): A Public-Facing Agent-Based
    Educational System for Clinical Research Participation. In The Proceedings of The 22nd
    International Conference on Human Computer Interaction. Copenhagen, Denmark.
  11. Saredakis, D., Szpak, A., Birckhead, B., Keage, H., Rizzo, A.S. & Loetscher, T. (2020). Factors
    associated with virtual reality sickness in head-mounted displays: a systematic review and
    meta-analysis. Frontiers in Human Neuroscience. 31 March 2020.
    https://doi.org/10.3389/fnhum.2020.00096
  12. Malta, L.S., Giosan, C., Szkodny, L., Altemus, M.M., Rizzo, A., Silbersweig, D.A. & Difede, J. (2020).
    Predictors of Involuntary and Voluntary Emotional Episodic Memories of Virtual Reality
    Scenarios in Veterans with and without PTSD. Memory, 28(6), 724-740. DOI:
    10.1080/09658211.2020.1770289.
  13. Morrow, M., Iorio, J., Adamson, G., Biermann, B.C., Dow, K., Egawa, T. Gal, D., Greenberg, A.,
    Havens, J.C., Jordan, S.R., Joseph, L., Karasu, C., Kim, H., Mantegna, M., Kesselman, S.,
    Mann, S., Mohan, P., Morgan, L., Noriega, P., Rainey, S., Richmond, T., Rizzo, S., Rossi, F.,
    Seeto, L., Smithson, A., Stender, M. & Zuckerman, M. (Alphabetic listing) (2020). Extended
    Reality in Autonomous and Intelligent Systems. The IEEE Global Initiative on Ethics of
    Autonomous and Intelligent Systems. https://standards.ieee.org/content/dam/ieee-
    standards/standards/web/documents/other/ead/EAD1e_extended_reality.pdf
  14. Malta, L.S., Giosan, C., Szkodny, L., Altemus, M.M., Rizzo, A., Silbersweig, D.A. & Difede, J. (2020).
    Development of a Virtual Reality Laboratory Stressor. Virtual Reality. Early Online:
    https://urldefense.com/v3/__https://rdcu.be/b5qJv__;!!LIr3w8kk_Xxm!8U9gz-
    d6HnQW3VuEa0RyGt8aOZyjAtg69rRvIYPj212AuHUnvCRYM8jUxJWNh8VN$
  15. Yeh, S-C., Lin, S-Y., Wu, H., Zhang, K-F., & Rizzo, A. (2020). A Virtual-Reality System Integrated with
    Neuro-Behavior Sensing for Attention-Deficit/ Hyperactivity Disorder Intelligent Assessment.
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(9),1899-1907. doi:
    10.1109/TNSRE.2020.3004545.
  16. Reger, G.M., Norr, A., Rizzo, A.S., Sylvers, P., Peltan, J., Fischer, D., Porter, S., Gant, P. & Baer, J.
    (2020, Oct.15). Comparison of Virtual Standardized Patients to Controls to Teach Motivational
    Interviewing to Healthcare Professionals in the Department of Veterans Affairs and the U.S.
    Military: A Randomized Controlled Trial. Journal of the American Medical Association Network
    Open. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2771733
  17. Rizzo, A. (2020). The Transition to Virtual Rehabilitation Phase 2. Forward to Virtual Reality in
    Health and Rehabilitation. (Eds.: Hayre, C.M., Muller, D.J. & Scherer, M.J.) CRC Press, Boca
    Raton, Fl.
  18. Rizzo, A., Hartholt, A., Leeds, A., Kwok, D., & Mozgai, S. (2020). BRAVEMIND: A Brief History of a
    Long-Term Clinical VR Research Program to Address PTSD. The Laval Virtual VR/AR Special
    Edition #4 Health: Clinical VR, Medicine, Well Being. Available Online: https://info.laval-
    virtual.com/en/magazine-health
  19. Rizzo, A. (2020). XR for Body & Mind During the COVID-19 Crisis. VRDays Magazine, 1, 1.
  20. Marler, T., Straus, S.G., Mizel, M.L., Hollywood, J.S., Harrison, B., Yeung, D., Klima, K., Lewis, M.W.,
    Kelly, T., Rizzo, A.A., & Hartholt, A. (2020). Design Effective Virtual-Reality-Based Training by
    Linking Missions, Required Skills, and Training Methods: A Case Study of VR Applied to Help
    Improve Decision-Making Under Stress for Police Officers. Proceedings of the 2020
    Interservice/Industry Training, Simulation, and Education.
  21. Katz, A. C., Norr, A. M., Buck, B., Fantelli, E., Edwards-Stewart, A., Koenen-Woods, P., Zetocha, K., Smolenski, D. J., Holloway, K., Rothbaum, B. O., Difede, J., Rizzo, A., Skopp, N., Mishkind, M., Gahm, G., Reger, G. M., & Andrasik, F. (2020, April 27). Changes in Physiological Reactivity in Response to the Trauma Memory During Prolonged Exposure and Virtual Reality Exposure Therapy for Posttraumatic Stress Disorder. Psychological Trauma: Theory, Research, Practice, and Policy. Online First Publication, http://dx.doi.org/10.1037/tra0000567
  22. Reger, G. M., Norr, A. M., Rizzo, A. “, Sylvers, P., Peltan, J., Fischer, D., . . . Baer, J. S. (2020). Virtual Standardized Patients vs Academic Training for Learning Motivational Interviewing Skills in the US Department of Veterans Affairs and the US Military. JAMA Network Open, 3(10). doi:10.1001/jamanetworkopen.2020.17348
  23. Albrecht, D., Isenberg, A. L., Stradford, J., Monreal, T., Sagare, A., Pachicano, M., . . . Pa, J. (2020). Associations between Vascular Function and Tau PET Are Associated with Global Cognition and Amyloid. The Journal of Neuroscience, 40(44), 8573-8586. doi:10.1523/jneurosci.1230-20.2020
  24. Marin-Pardo, O., Laine, C. M., Rennie, M., Ito, K. L., Finley, J., & Liew, S. (2020). A Virtual Reality Muscle–Computer Interface for Neurorehabilitation in Chronic Stroke: A Pilot Study. Sensors, 20(13), 3754. doi:10.3390/s20133754
  25. Saldana, D., Neureither, M., Schmiesing, A., Jahng, E., Kysh, L., Roll, S. C., & Liew, S.-L. (2020). Applications of head-mounted displays for virtual reality in adult physical rehabilitation: A scoping review. American Journal of Occupational Therapy, 74(5), 7405205060. https://doi.org/10.5014/ajot.2020.041442 Show abstract
  26. Haugg, A., Sladky, R., Skouras, S., McDonald, A., Craddock, C., Kirschner, M., Herdener, M., Koush, Y., Papoutsi, M., Keynan, J. N., Hendler, T., Cohen Kadosh, K., Zich, C., MacInnes, J., Adcock, R. A., Dickerson, K., Chen, N., Young, K., Bodurka, J., Yao, S., Becker, B., Auer, T., Schweizer, R., Pamplona, G., Emmert, K., Haller, S., Van De Ville, D., Blefari, M., Kim, D., Lee, J., Marins, T., Fukuda, M., Sorger, B., Kamp, T., Liew, S.-L., Veit, R., Spetter, M., Weiskopf, N., & Scharnowski, F. (2020). Can we predict real‐time fMRI neurofeedback learning success from pretraining brain activity? Human Brain Mapping. Advance online publication. https://doi.org/10.1002/hbm.25089 Show abstract
  27. Marin-Pardo, O., Laine, C. M.Rennie, M.Ito, K. L., Finley, J., & Liew, S.-L. (JULY 2020). A virtual reality muscle–computer interface for neurorehabilitation in chronic stroke: A pilot study. Sensors20(13), 3754. https://doi.org/10.3390/s20133754 Show abstract
  28. Swerdlow RH, Hui D, Chalise P, Sharma P, Wang X, Andrews SJ, Pa J, Mahnken JD, Morris J, Wilkins HM, Burns JM. (2020) Exploratory analysis of mtDNA haplogroups in two Alzheimer’s longitudinal cohorts.Alzheimer’s & Dementia. Jun 16. PDF
  29. Casaletto KB, Rentería MA, Pa J, Tom SE, Harrati A, Armstrong NM, Rajan KB, Mungas D, Walters S, Kramer J, Zahodne LB. (2020) Late-life physical and cognitive activities independently contribute to brain and cognitive resilience. Journal of Alzheimer’s Disease.PDF
  30. Liew, S., Zavaliangos‐Petropulu, A., Jahanshad, N., Lang, C. E., Hayward, K. S., Lohse, K. R., Juliano, J. M., Assogna, F., Baugh, L. A., Bhattacharya, A. K., Bigjahan, B., Borich, M. R., Boyd, L. A., Brodtmann, A., Buetefisch, C. M., Byblow, W. D., Cassidy, J. M., Conforto, A. B., Craddock, R. C., Dimyan, M. A., Dula, A. N., Ermer, E., Etherton, M. R., Fercho, K. A., Gregory, C. M., Hadidchi, S., Holguin, J. A., Hwang, D. H., Jung, S., Kautz, S. A., Khlif, M. S., Khoshab, N., Kim, B., Kim, H., Kuceyeski, A., Lotze, M., MacIntosh, B. J., Margetis, J. L., Mohamed, F. B., Piras, F., Ramos‐Murguialday, A., Richard, G., Roberts, P., Robertson, A. D., Rondina, J. M., Rost, N. S., Sanossian, N., Schweighofer, N., Seo, N. J., Shiroishi, M. S., Soekadar, S. R., Spalletta, G., Stinear, C. M., Suri, A., Tang, W. K., Thielman, G. T., Vecchio, D., Villringer, A., Ward, N. S., Werden, E., Westlye, L. T., Winstein, C., Wittenberg, G. F., Wong, K. A., Yu, C., Cramer, S. C., & Thompson, P. M. (2020). The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke. Human Brain Mapping. Advance online publication. https://doi.org/10.1002/hbm.25015 Show abstract
  31. Juliano, J. M., & Liew, S.-L. (2020). Transfer of motor skill between virtual reality viewed using a head-mounted display and conventional screen environments. Journal of NeuroEngineering and Rehabilitation, 17, 48. https://doi.org/10.1186/s12984-020-00678-2 Show abstract
  32. Montagne A, Nation DA, Sagare AP, Barisano G, Sweeney MD, Chakhoyan A, Pachicano M, Joe E, Nelson AR, D’Orazio LM, Buennagel DP. (2020, May) APOE4 leads to blood–brain barrier dysfunction predicting cognitive decline.Nature. 581(7806):71-6.
  33. Andrews SJ, Fulton-Howard B, Patterson C, McFall GP, Gross A, Michaelis EK, Goate A, Swerdlow RH, Pa J. (2020 Mar) Mitonuclear interactions influence Alzheimer’s disease risk. Alzheimer’s Disease Neuroimaging Initiative.  Neurobiology of Aging.1;87:138-e7. PDF
  34. Thompson, P. M., Jahanshad, N., Ching, C. R., Salminen, L. E., Thomopoulos, S. I., Bright, J., Baune, B. T., Bertolín, S., Bralten, J., Bruin, W. B., Bülow, R., Chen, J., Chye, Y., Dannlowski, U., de Kovel, C. G., Donohoe, G., Eyler, L. T., Faraone, S. V., Favre, P., Filippi, C. A., Frodl, T., Garijo, D., Gil, Y., Grabe, H. J., Grasby, K. L., Hajek, T., Han, L. K., Hatton, S. N., Hilbert, K., Ho, T. C., Holleran, L., Homuth, G., Hosten, N., Houenou, J., Ivanov, I., Jia, T., Kelly, S., Klein, M., Kwon, J. S., Laansma, M. A., Leerssen, J., Lueken, U., Nunes, A., O'Neill, J., Opel, N., Piras, F., Piras, F., Postema, M. C., Pozzi, E., Shatokhina, N., Soriano-Mas, C., Spalletta, G., Sun, D., Teumer, A., Tilot, A. K., Tozzi, L., van der Merwe, C., Van Someren, E. J., van Wingen, G. A., Völzke, H., Walton, E., Wang, L., Winkler, A. M., Wittfeld, K., Wright, M. J., Yun, J.-Y., Zhang, G., Zhang-James, Y., Adhikari, B. M., Agartz, I., Aghajani, M., Aleman, A., Althoff, R. R., Altmann, A., Andreassen, O. A., Baron, D. A., Bartnik-Olson, B. L., Bas-Hoogendam, J. M., Baskin-Sommers, A. R., Bearden, C. E., Berner, L. A., Boedhoe, P. S., Brouwer, R. M., Buitelaar, J. K., Caeyenberghs, K., Cecil, C. A., Cohen, R. A., Cole, J. H., Conrod, P. J., De Brito, S. A., de Zwarte, S. M., Dennis, E. L., Desrivieres, S., Dima, D., Ehrlich, S., Esopenko, C., Fairchild, G., Fisher, S. E., Fouche, J.-P., Francks, C., Frangou, S., Franke, B., Garavan, H. P., Glahn, D. C., Groenewold, N. A., Gurholt, T. P., Gutman, B. A., Hahn, T., Harding, I. H., Hernaus, D., Hibar, D. P., Hillary, F. G., Hoogman, M., Hulshoff Pol, H. E., Jalbrzikowski, M., Karkashadze, G. A., Klapwijk, E. T., Knickmeyer, R. C., Kochunov, P., Koerte, I. K., Kong, X.-Z., Liew, S.-L., Lin, A. P., Logue, M. W., Luders, E., Macciardi, F., Mackey, S., Mayer, A. R., McDonald, C. R., McMahon, A. B., Medland, S. E., Modinos, G., Morey, R. A., Mueller, S. C., Mukherjee, P., Namazova-Baranova, L., Nir, T. M., Olsen, A., Paschou, P., Pine, D. S., Pizzagalli, F., Rentería, M. E., Rohrer, J. D., Sämann, P. G., Schmaal, L., Schumann, G., Shiroishi, M. S., Sisodiya, S. M., Smit, D. J., Sønderby, I. E., Stein, D. J., Stein, J. L., Tahmasian, M., Tate, D. F., Turner, J. A., van den Heuvel, O. A., van der Wee, N. J., van der Werf, Y. D., van Erp, T. G., van Haren, N. E., van Rooij, D., van Velzen, L. S., Veer, I. M., Veltman, D. J., Villalon-Reina, J. E., Walter, H., Whelan, C. D., Wilde, E. A., Zarei, M., & Zelman, V. (2020). ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries. Translational Psychiatry, 10, 100. https://doi.org/10.1038/s41398-020-0705-1 Show abstract
  35. Juliano, J. M., Spicer, R. P., Vourvopoulos, A., Lefebvre, S., Jann, K., Ard, T., Santarnecchi, E., Krum, D. M., & Liew, S.-L. (2020). Embodiment Is related to better performance on a brain–computer interface in immersive virtual reality: A pilot study. Sensors, 20(4), 1204. https://doi.org/10.3390/s20041204 Show abstract
  36. Contreras JA, Aslanyan V, Sweeney MD, Sanders LM, Sagare AP, Zlokovic BV, Toga AW, Han SD, Morris JC, Fagan A, Massoumzadeh P. (2020 Feb) Functional connectivity among brain regions affected in Alzheimer’s disease is associated with CSF TNF-α in APOE4 carriers. Neurobiology of Aging. 1;86:112-22. PDF
  37. Sakhare A,  Yang V, Stradford J, Tsang I, Ravichandran R, Pa J. (2019) Cycling and spatial navigation in an enriched, immersive 3D virtual park environment: A feasibility study in younger and older adults. Frontiers in Aging Neuroscience; 11: 218. PDF
  38. Pa J, Andrews SJ, Swerdlow RH. (2019 Nov) Mitochondria and Alzheimer’s: Is PTCD1 the Smoking Gun? Trends in Neuroscience. 1;42(11):759-62. PDF
  39. A. Kim*, N. Schweighofer, J.M. Finley. (2019). Locomotor skill acquisition in virtual reality shows sustained transfer to the real world. Journal of Neuroengineering and Rehabilitation. 14;16(1):113.
  40. Rebula, S. Schaal, J.M. Finley, and L. Righetti. (2019). A Robustness Analysis of Inverse Optimal Control of Bipedal Walking. IEEE Robotics and Automation Letters.
  41. Kim, H., Irimia, A., Hobel, S. M., Pogosyan, M., Tang, H., Petrosyan, P., Esquivel, R., Blanco, C., Duffy, B. A., Zhao, L., Crawford, K. L., Liew, S.-L., Clark, K., Law, M., Mukherjee, P., Manley, G. T., Van Horn, J. D., & Toga, A. W. (2019). The LONI QC System: A semi-automated, web-based and freely-available environment for the comprehensive quality control of neuroimaging data. Frontiers in Neuroinformatics, 13, 60. https://doi.org/10.3389/fninf.2019.00060 Show abstract
  42. Ito, K. L., Kim, H., & Liew, S.-L. (2019). A comparison of automated lesion segmentation approaches for chronic stroke T1‐weighted MRI data. Human Brain Mapping, 40(16), 4669-4685. https://doi.org/10.1002/hbm.24729 Show abstract
  43. Sanchez, N., Simha, S. N., Donelan, J. M., & Finley, J. M. (2019). Taking advantage of external mechanical work to reduce metabolic cost: the mechanics and energetics of split‐belt treadmill walking. The Journal of physiology.
  44. Wang, Y., Juliano, J. M., Liew, S.-L., McKinney, A. M., & Payabvash, S. (2019). Stroke atlas of the brain: Voxel-wise density-based clustering of infarct lesions topographic distribution. NeuroImage: Clinical, 24, 101981. https://doi.org/10.1016/j.nicl.2019.101981 Show abstract
  45. Wathugala, M., Saldana, D., Juliano, J. M., Chan, J., & Liew, S.-L. (2019). Mindfulness meditation effects on poststroke spasticity: A feasibility study. Journal of Evidence-Based Integrative Medicine, 24, 2515690X19855941. https://doi.org/10.1177/2515690X19855941 Show abstract
  46. Vourvopoulos, A., Pardo, O. M., Lefebvre, S., Neureither, M., Saldana, D., Jahng, E., & Liew, S.-L. (2019). Effects of a brain-computer interface with virtual reality (VR) neurofeedback: A pilot study in chronic stroke patients. Frontiers in Human Neuroscience, 13, 210. https://doi.org/10.3389/fnhum.2019.00210 Show abstract
  47. Liew, S.-L., Schmaal, L., & Jahanshad, N. (2019). Editorial: Collaborative efforts for understanding the human brain. Frontiers in Neuroinformatics, 13, 38. https://doi.org/10.3389/fninf.2019.00038
  48. Santarnecchi, E., Sprugnoli, G., Bricolo, E., Costantini, G., Liew, S.-L., Musaeus, C. S., Salvi, C., Pascual-Leone, A., Rossi, A., & Rossi, S. (2019). Gamma tACS over the temporal lobe increases the occurrence of Eureka! moments. Scientific Reports, 9, 5778. https://doi.org/10.1038/s41598-019-42192-z Show abstract
  49. Lionis, C., & Gotsis, M. (2019). Frailty and multimorbidity. In C. Dowrick (Ed.), Global Primary Mental Health Care: Practical Guidance for Family Doctors (pp. 128–143). Routledge/WONCA.
  50. Nozari, P., & Finley, J. M. (2019, March). Development of a Platform to Evaluate Principles of Bipedal Locomotion Using Dynamical Movement Primitives. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 1062-1065). IEEE.
  51. Hobel Z, Isenberg AL, Raghupathy D, Mack W, & Pa J. Journal of Alzheimer’s Disease. (2019 Jan) APOE ɛ4 Gene Dose and Sex Effects on Alzheimer’s Disease MRI Biomarkers in Older Adults with Mild Cognitive Impairment. 1;71(2):647-58. PDF
  52. Sweeney, MD, Montagne, A, Sagare, AP, Nation, DA, Schneider, LS, Chui, HC, Harrington, MG, Pa, J, Law, M, Wang, JJ, et al. (2019 Jan) Vascular dysfunction – The disregarded partner of Alzheimer’s disease. Alzheimer’s & Dementia.;15(1):158-167. PDF
  53. Sakhare, A., Barisano, G., & Pa, J. (2018) Assessing Test-Retest Reliability of Phase Contrast MRI for Measuring Cerebrospinal Fluid Flow Dynamics in Alzheimer’s Disease. Magnetic Resonance in Medicine. P3-183. PDF
  54. A. Kim, K. S. Kretch, Z. Zhou, and J.M. Finley. (2018). The quality of visual information about the lower extremities influences visuomotor coordination during virtual obstacle negotiation. Journal of neurophysiology. 2018 120:2, 839-847
  55. C. Liu,  L. De Macedo, and  J. M. Finley. (2018). Conservation of Reactive Stabilization Strategies in the Presence of Step Length Asymmetries during Walking. Frontiers in Human Neuroscience12, 251. ​
  56. Petok JR, Myers CE, Pa J, Hobel Z, Wharton DM, Medina LD, Casado M, Coppola G, Gluck MA, & Ringman JM. (2018 May) Impairment of memory generalization in preclinical autosomal dominant Alzheimer’s disease mutation carriers. Neurobiology of Aging. 1;65:149-57. PDF
  57. K.L. Havens, T. Mukherjee, and J.M. Finley. (2018). Analysis of Biases in Dynamic Margins of Stability Introduced by the Use of Simplified Center of Mass Estimates during Walking and Turning. Gait and Posture. 59, 162-167.
  58. Sánchez, Natalia, and James M. Finley. (2018). Individual Differences in Locomotor Function Predict the Capacity to Reduce Asymmetry and Modify the Energetic Cost of Walking Poststroke. Neurorehabilitation and neural repair 32.8 (2018): 701-713.
  59. Dayan, E., López-Alonso, V., Liew, S.-L., & Cohen, L. G. (4 Aug 2018). Distributed cortical structural properties contribute to motor cortical excitability and inhibition. Brain Structure and Function223(8), 3801–3812. https://doi.org/10.1007/s00429-018-1722-1 Show abstractIto, K. L., Kumar, A., Zavaliangos-Petropulu, A., Cramer, S. C., & Liew, S.-L. (2018). Pipeline for Analyzing Lesions After Stroke (PALS). Frontiers in Neuroinformatics, 12, 63. https://doi.org/10.3389/fninf.2018.00063 Show abstract
  60. Lopez-Alonso, V., Liew, S.-L., del Olmo, M. F., Cheeran, B., Sandrini, M., Abe, M., & Cohen, L. G. (2018). A preliminary comparison of motor learning across different non-invasive brain stimulation paradigms shows no consistent modulations. Frontiers in Neuroscience, 12, 253. https://doi.org/10.3389/fnins.2018.00253 Show abstract
  61. Liew, S.-L., Thompson, T., Ramirez, J., Butcher, P., Taylor, J. A., & Celnik, P. A. (2018). Variable neural contributions to explicit and implicit learning during visuomotor adaptation. Frontiers in Neuroscience12, 610. https://doi.org/10.3389/fnins.2018.00610 Show abstract
  62. Liew, S.-L., Garrison, K. A., Ito, K. L., Heydari, P., Sobhani, M., Werner, J., Damasio, H., Winstein, C. J., & Aziz-Zadeh, L. (2018). Laterality of poststroke cortical motor activity during action observation is related to hemispheric dominance. Neural Plasticity, 2018, 3524960. https://doi.org/10.1155/2018/3524960 Show abstract
  63. Liew, S.-L., Anglin, J. M., Banks, N. W., Sondag, M., Ito, K. L., Kim, H., Chan, J., Ito, J., Jung, C., Khoshab, N., Lefebvre, S., Nakamura, W., Saldana, D., Schmiesing, A., Tran, C., Vo, D., Ard, T., Heydari, P., Kim, B., Aziz-Zadeh, L., Cramer, S. C., Liu, J., Soekadar, S., Nordvik, J.-E., Westlye, L. T., Wang, J., Winstein, C., Yu, C., Ai, L., Koo, B., Craddock, R. C., Milham, M., Lakich, M., Pienta, A., & Stroud, A. (2018). A large, open source dataset of stroke anatomical brain images and manual lesion segmentations. Scientific Data, 5, 180011. https://doi.org/10.1038/sdata.2018.11 Show abstract
  64. Sánchez and J.M. Finley (2017). Individual differences in locomotor function predict the capacity to reduce asymmetry and modify the energetic cost of walking post- stroke. bioRxiv.
  65. Neu SC, Pa J, Kukull W, Beekly D, Kuzma A, Gangadharan P, Wang LS, Romero K, Arneric SP, Redolfi A, & Orlandi D. (2017 Oct) Apolipoprotein E genotype and sex risk factors for Alzheimer disease: a meta-analysis. JAMA Neurology. 1;74(10):1178-89. PDF
  66. Ringman JM, Casado M, Van Berlo V, Pa J, Joseph-Mathurin N, Fagan AM, Benzinger T, Bateman RJ, & Morris JC. (2017 Sep) A novel PSEN1 (S230N) mutation causing early-onset Alzheimer’s Disease associated with prosopagnosia, hoarding, and Parkinsonism. Neuroscience Letters. 14;657:11-5. PDF
  67. Kim, Z. Zhou, K. Kretch, J.M. Finley. (2017). Manipulating the fidelity of lower extremity visual feedback to identify obstacle negotiation strategies in immersive virtual reality. Conf Proc IEEE Eng Med Biol Soc 1: 4491-4494.
  68. Park and J.M. Finley. (2017). Characterizing dynamic balance during adaptive locomotor learning. Conf Proc IEEE Eng Med Biol Soc 1: 50-53.
  69. J.M. Finley. (2017). Splitting the difference: New insights into distinguishing features of human versus feline models of adaptive locomotor control. Journal of Physiology. 595(17):5723-5724.
  70. Sánchez, S. Park, and J.M. Finley (2017). Evidence of Energetic Optimization during Adaptation Differs for Metabolic, Mechanical, and Perceptual Estimates of Energetic Cost. Scientific Reports. 7(1):7682.
  71. Kim, N. Darakjian, and J.M. Finley (2017). Walking in Fully Immersive Virtual Environments: A Feasibility Test for Older Adults and Individuals with Parkinson's diseaseJournal of Neuroengineering and Rehabilitation. 14, 16.
  72. J.M. Finley and A.J. Bastian. (2017). Associations between Foot Placement Asymmetries and Metabolic Cost of Transport in Hemiparetic Gait. Neurorehabilitation and Neural Repair. 31, 168-177.
  73. Sugiyama, T., & Liew, S.-L. (2017). The effects of sensory manipulations on motor behavior: From basic science to clinical rehabilitation. Journal of Motor Behavior, 49(1), 67-77. https://doi.org/10.1080/00222895.2016.1241740 Show abstract
  74. Anglin, J. M., Sugiyama, T., & Liew, S.-L. (2017). Visuomotor adaptation in head-mounted virtual reality versus conventional training. Scientific Reports, 7, 45469. https://doi.org/10.1038/srep45469 Show abstract
  75. Sprugnoli, G., Rossi, S., Emmendorfer, A., Rossi, A., Liew, S.-L., Tatti, E., di Lorenzo, G., Pascual-Leone, A., & Santarnecchi, E. (2017). Neural correlates of Eureka moment. Intelligence, 62, 99-118. https://doi.org/10.1016/j.intell.2017.03.004 Show abstract
  76. Park H, Schweighofer N. Nonlinear mixed-effects model reveals a distinctionbetween learning and performance in intensive reach training post-stroke. JNeuroeng Rehabil. 2017 Mar 17;14(1):21.
  77. Lefebvre, S., & Liew, S.-L. (2017). Anatomical parameters of tDCS to modulate the motor system after stroke: A review. Frontiers in Neurology, 8, 29. https://doi.org/10.3389/fneur.2017.00029 Show abstract
  78. Sainburg, R. L., Liew, S.-L., Frey, S. H., & Clark, F. (2017). Promoting translational research among movement science, occupational science, and occupational therapy. Journal of Motor Behavior, 49(1), 1-7. https://doi.org/10.1080/00222895.2016.1271299 Show abstract
  79. Craddock, R. C., Margulies, D. S., Bellec, P., Nichols, B. N., Alcauter, S., Barrios, F. A., Burnod, Y., Cannistraci, C. J., Cohen-Adad, J., De Leener, B., Dery, S., Downar, J., Dunlop, K., Franco, A. R., Froehlich, C. S., Gerber, A. J., Ghosh, S. S., Grabowski, T. J., Hill, S., Heinsfeld, A. S., Hutchison, R. M., Kundu, P., Laird, A. R., Liew, S.-L., Lurie, D. J., McLaren, D. G., Meneguzzi, F., Mennes, M., Mesmoudi, S., O'Connor, D., Pasaye, E. H., Peltier, S., Poline, J., Prasad, G., Pereira, R. F., Quirion, P., Rokem, A., Saad, Z. S., Shi, Y., Strother, S. C., Toro, R., Uddin, L. Q., Van Horn, J. D., Van Meter, J. W., Welsh, R. C., & Xu, T. (2016). Brainhack: A collaborative workshop for the open neuroscience community. GigaScience, 5(1), 1-8. https://doi.org/10.1186/s13742-016-0121-x Show abstract
  80. Ito, K. L., & Liew, S.-L. (2016). Calculating the laterality index using FSL for stroke neuroimaging data. GigaScience, 5(Suppl. 1), 14-15. https://doi.org/10.1186/s13742-016-0147-0-n Show abstract
  81. Nagamori, F. Valero-Cuevas, and J.M. Finley (2016). Unilateral eccentric contraction of the plantarflexors leads to bilateral alterations in leg dexterity. Frontiers in Physiology. 7, 582.
  82. Marjaninejad and J.M. Finley. (2016). A model-based exploration of the role of pattern generating circuits during locomotor adaptation. Conf Proc IEEE Eng Med Biol Soc 1: 21-24.
  83. Kan, E., Anglin, J., Borich, M., Jahanshad, N., Thompson, P., & Liew, S.-L. (2016). Facilitating big data meta-analyses for clinical neuroimaging through ENIGMA wrapper scripts. GigaScience, 5(Suppl. 1), 17-19. https://doi.org/10.1186/s13742-016-0147-0-p Show abstract
  84. Dinov ID, Heavner B, Tang M, Glusman G, Chard K, Darcy M, Madduri R, Pa J, Spino C, Kesselman C, Foster I, Deutsch EW, Price ND, Van Horn JD, Ames J, Clark K, Hood L, Hampstead BM, Dauer W, & Toga AW. (2016 Aug) Predictive big data analytics: A study of Parkinson’s disease using large, complex, heterogeneous, incongruent, multi-cource and incomplete observations. PLoS One. 5;11(8). PDF
  85. Park H, Kim S, Winstein CJ, Gordon J, Schweighofer N. Short-Duration and Intensive Training Improves Long-Term Reaching Performance in Individuals With Chronic Stroke. Neurorehabil Neural Repair. 2016 Jul;30(6):551-61.
  86. Buch, E. R., Liew, S.-L., & Cohen, L. G. (2016). Plasticity of sensorimotor networks: Multiple overlapping mechanisms. Neuroscientist, 23(2), 185-196. https://doi.org/10.1177/1073858416638641 Show abstract
  87. Liew, S.-L., Rana, M., Cornelsen, S., Fortunato de Barros Filho, M., Birbaumer, N., Sitaram, R., Cohen, L. G., & Soekadar, S. R. (2016). Improving motor corticothalamic communication after stroke using real-time fMRI connectivity-based neurofeedback. Neurorehabilitation and Neural Repair, 30(7), 671-675. https://doi.org/10.1177/1545968315619699 Show abstract
  88. Long, J.M. Finley, A.J. Bastian.(2015). A Marching-Walking Hybrid Induces Step Length Adaptation and Transfers to Natural Walking. Journal of Neurophysiology.113, 3905-3914.
  89. Montagne A, Pa J, & Zlokovic B. (2015 May) Vascular plasticity and cognition during normal aging and dementia. JAMA Neurology. 72(5):495-6. PDF
  90. J.H. Porterfield, A. Sindhurakar, J.M.Finley, N.S. Bradley. (2015). Drift during Overground Locomotion in Newly Hatched Chicks Varies with Light Exposure during Embryogenesis. Developmental Psychobiology.57, 459-469.
  91. B.A. Smith, I. Trujillo-Priego, C.J. Lane, J.M.Finley, F. Horak. (2015). Daily Quantity of Infant Leg Movement: Wearable Sensor Algorithm and Relationship to Walking Onset. Sensors. 15, 19006-19020.
  92. J.M. Finley, A. Long, A.J.Bastian, and G. Torres-Oviedo (2015). Spatial and Temporal Control Contribute to Step Length Asymmetry during Split-Belt Adaptation and Hemiparetic Gait. Neurorehabilitation and Neural Repair. 29:786-95.
  93. Pa J, Goodson W, Bloch A, King AC, Yaffe K, & Barnes DE. (2014 Dec) Effect of exercise and cognitive activity on self-reported sleep quality in community-dwelling older adults with cognitive complaints: a randomized controlled trial.Journal of American Geriatrics Society.  62(12):2319-26. PDF
  94. Pa J & Gazzaley A. (2014 Nov 21) Flavanol-rich food for thought. Nature Neuroscience. 17(12):1624-5. PDF
  95. Laffont I, Bakhti K, Coroian F, van Dokkum L, Mottet D, Schweighofer N, FrogerJ. Innovative technologies applied to sensorimotor rehabilitation after stroke. Ann Phys Rehabil Med. 2014 Nov;57(8):543-51.
  96. Pa J, Dutt S, Mirsky JB, Heuer HW, Keselman P, Kong E, Trujillo A, Gazzaley A, Kramer JH, Seeley WW, Miller BL, & Boxer AL. (2014 Jul 15) The functional oculomotor network and saccadic cognitive control in healthy elders. 95:61-8. PDF
  97. Pa J, Dutt S, Mirsky JB, Heuer HW, Keselman P, Kong E, Trujillo A, Gazzaley A, Kramer JH, Seeley WW, Miller BL, & Boxer AL. (2014 Jul 15) The functional oculomotor network and saccadic cognitive control in healthy elders. 95:61-8. PDF
  98. Liew, S.-L., Santarnecchi, E., Buch, E. R., & Cohen, L. G. (2014). Non-invasive brain stimulation in neurorehabilitation: Local and distant effects for motor recovery. Frontiers in Human Neuroscience, 8, 378. https://doi.org/10.3389/fnhum.2014.00378 Show abstract
  99. J.M. Finley, M.S. Statton, A.J. Bastian.(2014) A Novel Optic Flow Pattern Speeds Split-belt Locomotor Adaptation. Journal of Neurophysiology. 111, 969-976.
  100. Zanto TP, Pa J, & Gazzaley A. (2014 Jan 1) Reliability measures of functional magnetic resonance imaging in a longitudinal evaluation of mild cognitive impairment. 84:443-52. PDF
  101. J.M. Finley, A.J. Bastian, J.S.Gottschall. (2013). Learning to be Efficient: Metabolic Cost of Walking Tracks Motor Adaptation. Journal of Physiology. 591,1081-1095
  102. Liew, S.-L., Agashe, H., Bhagat, N., Paek, A., & Bulea, T. C. (2013). A clinical roadmap for brain-neural machine interfaces: Trainees' perspectives on the 2013 International Workshop. IEEE Pulse, 4(5), 44-48. https://doi.org/10.1109/MPUL.2013.2271686 Show abstract
  103. Liew, S.-L., Sheng, T., Margetis, J. L., & Aziz-Zadeh, L. S. (2013). Both novelty and expertise increase action observation network activity. Frontiers in Human Neuroscience, 7, 541. https://doi.org/10.3389/fnhum.2013.00541 Show abstract
  104. D. Trumbower*, J. M. Finley*, J.Shemmell, C. F. Honeycutt, E. J. Perreault. (2013). Bilateral Impairments in Task-Dependent Modulation of the Long-Latency Stretch Reflex Following Stroke. Clinical Neurophysiology. 124,1373-1380
  105. Cholinergic enhancement of functional networks in older adults with mild cognitive impairment. Pa J, Berry AS, Compagnone M, Boccanfuso J, Greenhouse I, Rubens MT, Johnson JK,  Gazzaley A. Annals of Neurology. 2013 Jun; 73(6):762-73. PDF
  106. Garrison, K. A., Aziz-Zadeh, L., Wong, S. W., Liew, S.-L., & Winstein, C. J. (2013). Modulating the motor system by action observation after stroke. Stroke, 44(8), 2247-2253. https://doi.org/10.1161/STROKEAHA.113.001105 Show abstract
  107. J.M. Finley, Y. Y. Dhaher, E.J. Perreault.(2013). Acceleration-Dependence and Task-Specific Modulation of Short and Medium-Latency Reflexes in the Ankle Extensors. Physiological Reports. 1(3), e00051
  108. Aziz-Zadeh, L. S., Liew, S.-L., & Dandekar, F. (2013). Exploring the neural correlates of visual creativity. Social Cognitive and Affective Neuroscience, 8(4), 475-480. https://doi.org/10.1093/scan/nss021 Show abstract
  109. Liew, S.-L., Sheng, T., & Aziz-Zadeh, L. S. (2013). Experience with an amputee modulates one’s own sensorimotor response during action observation. NeuroImage, 69, 138-145. https://doi.org/10.1016/j.neuroimage.2012.12.028 Show abstract
  110. Liew, S.-L., & Aziz-Zadeh, L. S. (2013). The human mirror neuron system, social control, and language. In D. D. Franks & J. H. Turner (Eds.), Handbook of neurosociology (pp. 183-205). Dordrecht, The Netherlands: Springer. https://doi.org/10.1007/978-94-007-4473-8_14 Show abstract
  111. Johnson JK, Gross AL, Pa J, McLaren DG, Park LQ,  Manly JJ. (2012 Dec) Longitudinal change in neuropsychological performance using latent growth models: a study of mild cognitive impairment.Brain Imaging & Behavior.  6(4):540-50. PDF
  112. Park LQ, Gross AL, McLaren DG, Pa J, Johnson JK, Mitchell M,  Manly JJ. (2012 Dec) Confirmatory factor analysis of the ADNI Neuropsychological Battery.Brain Imaging & Behavior. 6(4):528-39. PDF
  113. Gross AL, Manly JJ, Pa J, Johnson JK, Park LQ, Mitchell MB, Melrose RJ, Inouye SK, & McLaren DG. (2012 Dec) Cortical signatures of cognition and their relationship to Alzheimer’s disease. Brain Imaging & Behavior. 6(4):584-98. PDF
  114. Aziz-Zadeh, L. S., Sheng, T., Liew, S.-L., & Damasio, H. C. (2012). Understanding otherness: The neural bases of action comprehension and pain empathy in a congenital amputee. Cerebral Cortex, 22(4), 811-819. https://doi.org/10.1093/cercor/bhr139 Show abstract
  115. Liew, S.-L., Garrison, K. A., Werner, J., & Aziz-Zadeh, L. S. (2012). The mirror neuron system: Innovations and implications for occupational therapy. OTJR: Occupation, Participation and Health, 32(3), 79-86. https://doi.org/10.3928/15394492-20111209-01 Show abstract
  116. J.M. Finley, Y.Y. Dhaher, E.J. Perreault.(2012). Contributions of Feed-forward and Feedback Strategies at the Human Ankle during Control of Unstable Loads. Experimental Brain Research. 217, 53-66
  117. Liew, S.-L., Han, S., & Aziz-Zadeh, L. S. (2011). Familiarity modulates mirror neuron and mentalizing regions during intention understanding. Human Brain Mapping, 32(11), 1986-1997. https://doi.org/10.1002/hbm.21164 Show abstract
  118. Pa J, Possin KL, Wilson SM, Quitania LC, Kramer JH, Boxer AL, Weiner MW, & Johnson JK. (2010 Jul) Gray matter correlates of set-shifting among neurodegenerative disease, mild cognitive impairment, and healthy older adults.Journal of International Neuropsychological Society. 16(4):640-50. PDF
  119. Liew, S.-L., & Aziz-Zadeh, L. S. (2011). The neuroscience of language and action in occupations: A review of findings from brain and behavioral sciences. Journal of Occupational Science, 18(2), 97-114. https://doi.org/10.1080/14427591.2011.575758 Show abstract
  120. Liew, S.-L., Ma, Y., Han, S., & Aziz-Zadeh, L. S. (2011). Who's afraid of the boss: Cultural differences in social hierarchies modulate self-face recognition in Chinese and Americans. PLoS ONE, 6(2), e16901. https://doi.org/10.1371/journal.pone.0016901 Show abstract
  121.    Johnson, A. J., Liew, S.-L., & Aziz-Zadeh, L. (2011). Demographics, learning and imitation, and body schema in Body Integrity Identity Disorder. Indiana University Undergraduate Journal of Cognitive Science, 6(2011), 8-15. Show abstract
  122.    Johnson JK, Pa J, Boxer AL, Kramer JH, Freeman K, & Yaffe K. (2010) Baseline predictors of clinical progression among patients with dysexecutive mild cognitive impairment. Dementia & Geriatric Cognitive Disorders. 30(4):344-51. PDF
  123.    Liew, S., & Aziz‐Zadeh, L. (2011, August 25). The Human Mirror Neuron System and Social Cognition. Retrieved January 26, 2021, from https://onlinelibrary.wiley.com/doi/abs/10.1002/9781118101803.ch4