Faculty/Staff Resources Student Resources
University of Southern California
University of Southern California
USC Chan Division of Occupational Science and Occupational Therapy
USC Chan Division of Occupational Science and Occupational Therapy
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Kaori (Lily) Ito

Faculty Mentor: Sook-Lei Liew PhD, OTR/L

Research Lab: Neural Plasticity and Neurorehabilitation Lab

Year of Entry: 2016

Kaori (Lily) Ito

Research Interests

Stroke is a neurological disorder that can leave an individual with lasting motor impairments. Among a wide range of factors that can influence stroke recovery, hemispheric dominance relative to the stroke — that is, whether a stroke is in a person’s dominant or non-dominant hemisphere — is likely to have a significant impact on function. For example, an individual whose stroke is in the dominant hemisphere may have difficulty performing daily activities that depend on the dominant hand, such as hand-writing and teeth-brushing.

At the Neural Plasticity and Neurorehabilitation Lab, I’m interested in understanding the effects of stroke laterality on neural plasticity and its implication on stroke recovery and rehabilitation. Through the use of functional MRI, I’m studying changes in brain activity and connectivity in motor-related networks following a stroke using various statistical modeling techniques, such as GLM-weighted correlation analyses and dynamic causal modeling.


Master of Arts (MA) in Occupational Therapy
2016 | University of Southern California

Bachelor of Arts (BS) in Cognitive Science
2013 | University of California, Los Angeles


Journal Articles

Marin-Pardo, O., Laine, C. M., Rennie, M., Ito, K. L., Finley, J., & Liew, S.-L. (2020). A virtual reality muscle–computer interface for neurorehabilitation in chronic stroke: A pilot study. Sensors, 20(13), 3754. https://doi.org/10.3390/s20133754 Show abstract

Lefebvre, S., Jann, K., Schmiesing, A., Ito, K., Jog, M., Schweighofer, N., Wang, D. J., & Liew, S.-L. (2019). Differences in high-definition transcranial direct current stimulation over the motor hotspot versus the premotor cortex on motor network excitability. Scientific Reports, 9, 17605. https://doi.org/10.1038/s41598-019-53985-7 Show abstract

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

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

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

Ito, 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

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

Conference Presentations/Proceedings

Lefebvre, S., Jann, K., Schmiesing, A. N., Ito, K. L., Jog, M., Schweighofer, N., Wang, D. J., & Liew, S.-L. (2018, August). Concurrent HD-tDCS/fMRI study exploring changes in motor network physiology and complexity. Poster presented at the 2018 NYC Neuromodulation Conference & NANS Summer Series, New York, NY. Show abstract