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Aki Tsuchiyagaito, Ph.D.


Affiliate Investigator, LIBR
Research Assistant Professor, Oxley College of Health and Natural Sciences​, The University of Tulsa

CURRICULUM VITAE
GOOGLE SCHOLAR

The Tsuchiyagaito Laboratory


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Our Research Approach


Dr. Tsuchiyagaito’s main research interests include developing novel neuroscience-based treatments for young adults, adolescents and youth to provide early intervention or prevention for mental disorders as well as determining which patient populations and traditional therapies might benefit from the addition of such treatments.
​
The primary methods Dr. Tsuchiyagaito employs in her research are real-time fMRI neurofeedback (rtfMRI-nf) and EEG. Her research aims to (1) understand clinically relevant brain mechanisms related to rumination, worry, and repetitive negative thinking (RNT) in young adults with mood disorders, and (2) to develop clinical applications of rtfMRI-nf and its future translation into EEG-neurofeedback (EEG-nf).

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CONTACT DR. TSUCHIYAGAITO

Research Program Highlights


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Main Questions

Can we use rtfMRI-nf to reduce repetitive negative thinking (RNT)? Can rtfMRI-nf induce acute change of brain circuit related to RNT? If so, how can we improve rtfMRI-nf to induce stable change of brain circuit related to RNT? Will the combination of rtfMRI-nf and any other treatment modalities (i.e., pharmacotherapy, talk therapy such as cognitive behavioral therapy (CBT), brain stimulation) help to maintain the stable change of brain plasticity? By modulating RNT related circuit, can we reduce depression severity, and can we prevent future onset of depression? Can we use RNT related brain circuit as a monitoring marker of depression treatment? Who can benefit from rtfMRI-nf approach?
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Approach

We employ rtfMRI-nf to modulate the target brain circuit. rtfMRI-nf can provide us insights of: (1) how modulating the target brain circuit influences neural and behavioral markers such as fMRI, structural MRI, EEG, heart rate variability, cognitive bias, and daily mood changes, etc; and (2) how the human brain can learn how to regulate its own neurological signals
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Future Directions

rtfMRI-nf is not solely the brain modulation techniques but is utilizing one’s own capacity to control and adjust their brain. Our rtfMRI-nf approach is to train the brain to make effective connections and regulate itself, and to help each person understand when their brain is in the desired state (i.e., free from stuck mind such as rumination and worry). Understanding potential predictors or monitoring markers of successful rtfMRI-nf to reduce RNT or rumination will enable us to consider potential collaboration of other treatment modalities (i.e., pharmacotherapy, CBT, brain stimulation) in order to contribute to the advancement of precision medicine. Finally, established knowledge of fMRI-EEG inter-relationships will enable us to translate rtfMRI-nf findings to more cost-effective EEG-nf tools

Scientific Background


Dr. Tsuchiyagaito received her Bachelor’s degree from the University of Tokyo in 2005. After several years of serving in the Japan Ground Self Defense Force, she subsequently completed Master’s degree in Clinical Psychology at Health Sciences University of Hokkaido and obtained the license of Clinical Psychologist in 2016. She worked as a Clinical Psychologist at several medical universities and hospitals providing Cognitive Behavioral Therapy (CBT) treating depression and anxiety disorders. Her doctoral work in Child Development investigated the efficacy of CBT for obsessive-compulsive disorder (OCD) and comorbid autism spectrum disorder (ASD) using structural MRI. Dr. Tsuchiyagaito next completed a postdoctoral fellowship awarded by Japan Society of the Promotion Science (JSPS) and she joined the LIBR as a Post-Doctoral Associate in 2018. She worked closely with Dr. Jerzy Bodurka, and learned how to design, conduct, and analyze rtfMRI-nf for individuals with mental disorders. Dr. Tsuchiyagaito started a position as a Research Associate in 2021, and focuses on how to translate a novel brain modulation approach to younger populations, and how to disseminate neuroscience-informed interventions. 

Selected Publications


Tsuchiyagaito, A., Sánchez, S. M., Misaki, M., Kuplicki, R., Park, H., Paulus, M. P., & Guinjoan, S. M. (2023). Intensity of repetitive negative thinking in depression is associated with greater functional connectivity between semantic processing and emotion regulation areas. Psychological Medicine, 53(12), 5488–5499.
Tsuchiyagaito, A., Hirano, Y., Asano, K., Oshima, F., Nagaoka, S., Takebayashi, Y., Matsumoto, K., Masuda, Y., Iyo, M., Shimizu, E., & Nakagawa, A. (2017). Cognitive-Behavioral Therapy for Obsessive-Compulsive Disorder with and without Autism Spectrum Disorder: Gray Matter Differences Associated with Poor Outcome. Frontiers in Psychiatry, 8, 143
Tsuchiyagaito, A., Smith, J. L., El-Sabbagh, N., Zotev, V., Misaki, M., Al Zoubi, O., Teague, T. K., Paulus, M. P., Bodurka, J., & Savitz, J. (2021). Real-time fMRI neurofeedback amygdala training may influence kynurenine pathway metabolism in major depressive disorder. NeuroImage: Clinical, 29, 102559.
FULL LIST OF PUBLICATIONS

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