iambaggy

... exploration and discovery

Research

My Research

My research wordle

A. Development and applications of real-time functional MRI

The aim of this research is to develop a real-time functional MRI system at Nagoya University’s Brain and Mind Research Center and investigate its potential applications in cognitive training, brain machine interface, and neuro-rehabilitation, among others. Functional magnetic resonance imaging (fMRI) has been extensively used in the neurosciences to elucidate the different functions of the human brain. Real-time functional MRI has enabled the development of novel methods to probe these functions in almost real-time.

Related publications

  • Improving real-time brain state classification of motor imagery tasks during neurofeedback training, Epifanio Bagarinao, Akihiro Yoshida, Kazunori Terabe, Shohei Kato, and Toshiharu Nakai, Frontiers in Neuroscience 14 (2020) 623, doi: 10.3389/fnins.2020.00623
  • Improved Volitional Recall of Motor-Imagery-Related Brain Activation Patterns Using Real-Time Functional MRI-based Neurofeedback, Epifanio Bagarinao, Akihiro Yoshida, Mika Ueno, Kazunori Terabe, Shohei Kato, Haruo Isoda and Toshiharu Nakai, Frontiers in Human Neuroscience 12 (2018) 158, doi: 10.3389/fnhum.2018.00158
  • Effects of salience-network-node neurofeedback training on affective biases in major depressive disorder, J. Paul Hamilton, Gary H. Glover, Epifanio Bagarinao, Catie Chang, Sean Mackey, Matthew D. Sacchet, Ian H. Gotlib, Psychiatry Research: Neuroimaging 249 (2016) pp. 91-96, doi: 10.1016/j.pscychresns.2016.01.016
  • Real-time fMRI applied to pain management, Heather Chapin, Epifanio Bagarinao, and Sean Mackey, Neuroscience Letters 520 (2012) 174-181, doi:10.1016/j.neulet.2012.02.076
  • Dynamic monitoring of brain activation under visual stimulation using fMRI – The advantage of real-time fMRI with sliding window GLM analysis, Toshiharu Nakai, Epifanio Bagarinao, Kayako Matsuo, Yuko Ohgami, and Chikako Kato, Journal of Neuroscience Methods 157 (2006) 158-167
  • Real-Time Functional MRI: Development and Emerging Applications, Epifanio Bagarinao, Toshiharu Nakai, and Yoshio Tanaka, Magn Reson Med Sci 5 (2006) 157-165

Funding

  • Real-time precision functional network mapping of the human brain for neurosurgical applications, Kakenhi Grants-In-Aid for Scientific Research C, April 1, 2021 – March 31, 2024 (Principal Investigator)
  • Learning to control brain activity pattern using real-time functional MRI: A feasibility study, Kakenhi Grants-In-Aid for Scientific Research C, April 1, 2014 – March 31, 2017 (Principal investigator)

Related blog posts

B. Simultaneous EEG-fMRI

Functional magnetic resonance imaging (fMRI) has been known for its high spatial resolution in localizing brain activation, but determining the timing of the activation could not be readily resolved from fMRI dataset. On the other hand, electroencephalography (EEG) data has temporal resolution in the order of milliseconds, but by itself, is not able to resolve with great accuracy the location of the activation. The combined measurement and analysis of EEG and fMRI data could therefore provide both high temporal as well as high spatial resolution in examining the functions of the human brain. In this research, we used simultaneous EEG-fMRI to identify brain activation with both high temporal as well as spatial resolution.

Epileptic focus localization

Epilepsy is a neurological disorder that roughly affects 0.5 – 1% of the world’s population. About 25% of patients with epilepsy have medically uncontrollable seizures, significantly affecting the patients’ quality of life. For medically refractory epilepsy, surgical resection is a necessary approach and accurately identifying the location of epileptic focus is critical in this operation. For this, we used simultaneous EEG-fMRI to identify the location of epileptic focus.

Detection of sub-second activation dynamics

We are also investigating the feasibility of using simultaneous EEG-fMRI measurement to detect sub-second activation changes. For this, we are developing an algorithm that employed the highly dynamic spatiotemporal information of the whole scalp EEG data to generate dynamic activation maps from fMRI data with millisecond resolution.

Related publications

  • Subsecond EEG-fMRI analysis for presurgical evaluation in focal epilepsy, Yuji Ito, Satoshi Maesawa, Epifanio Bagarinao, Yu Okai, Daisuke Nakatsubo, Hiroyuki Yamamoto, Hiroyuki Kidokoro, Naotaka Usui, Jun Natsume, Minoru Hoshiyama, Toshihiko Wakabayashi, Gen Sobue, Norio Ozaki, Journal of Neurosurgery XX (2020) 1-10, doi: 10.3171/2020.1.JNS192567
  • EEG-fMRIを用いた焦点診断, 前澤 聡, バガリナオ エピファニオ, 中坪 大輔, 若林 俊彦, 脳神経外科 46 (2018) 67 – 79. doi: 10.11477/mf.1436203677
  • Detecting sub-second changes in brain activation patterns during interictal epileptic spike using simultaneous EEG-fMRI, Epifanio Bagarinao, Satoshi Maesawa, Yuji Ito, Naotaka Usui, Jun Natsume, Hirohisa Watanabe, Minoru Hoshiyama, Toshihiko Wakabayashi, Gen Sobue, Shinji Naganawa, Haruo Isoda, Clinical Neurophysiology 129 (2018) 377 – 389. doi: 10.1016/j.clinph.2017.11.018

C. BMRC Aging Cohort Study

This is an ongoing study of the Brain and Mind Research Center, Nagoya University. Using several imaging modalities, such as resting state fMRI, T1- and T2-weighted MR images, diffusion tensor imaging (DTI), and magnetoencephalography (MEG), the study aimed to investigate the effects of healthy aging in the brain. We’ve investigated age-related changes in resting state networks using independent component analysis and graph theory, in fractional anisotrophy using DTI, and in gray matter atrophy using anatomical T1-weighted images. 

Related publications

  • Reserve and Maintenance in the Aging Brain: A Longitudinal Study of Healthy Older Adults, Epifanio Bagarinao, Hirohisa Watanabe, Satoshi Maesawa, Kazuya Kawabata, Kazuhiro Hara, Reiko Ohdake, Aya Ogura, Daisuke Mori, Noritaka Yoneyama, Kazunori Imai, Takamasa Yokoi, Toshiyasu Kato, Shuji Koyama, Masahisa Katsuno, Toshihiko Wakabayashi, Masafumi Kuzuya, Minoru Hoshiyama, Haruo Isoda, Shinji Naganawa, Norio Ozaki, Gen Sobue, eNeuro 9 (2022) pp. 1 – 10, doi: 10.1523/ENEURO.0455-21.2022
  • Resting State Networks Related to the Maintenance of Good Cognitive Performance During Healthy Aging, Satoshi Maesawa, Satomi Mizuno, Epifanio Bagarinao, Hirohisa Watanabe, Kazuya Kawabata, Kazuhiro Hara, Reiko Ohdake, Aya Ogura, Daisuke Mori, Daisuke Nakatsubo, Haruo Isoda, Minoru Hoshiyama, Masahisa Katsuno, Ryuta Saito, Norio Ozaki, Gen Sobue, Frontiers in Human Neuroscience 15 (2021) pp. 753836, doi: 10.3389/fnhum.2021.753836
  • Aging impacts the overall connectivity strength of regions critical for information transfer among brain networks, Epifanio Bagarinao, Hirohisa Watanabe, Satoshi Maesawa, Daisuke Mori, Kazuhiro Hara, Kazuya Kawabata, Noritaka Yoneyama, Reiko Ohdake, Kazunori Imai, Michihito Masuda, Takamasa Yokoi, Aya Ogura, Toshiaki Taoka, Shuji Koyama, Hiroki C. Tanabe, Masahisa Katsuno, Toshihiko Wakabayashi, Masafumi Kuzuya, Minoru Hoshiyama, Haruo Isoda, Shinji Naganawa, Norio Ozaki, Gen Sobue, Frontiers in Aging Neuroscience 12 (2020) 592469, doi: 10.3389/fnagi.2020.592469
  • Effects of head motion on the evaluation of age-related brain network changes using resting state functional MRI, Sanae Kato, Epifanio Bagarinao, Haruo Isoda, Shuji Koyama, Hirohisa Watanabe, Satoshi Maesawa, Daisuke Mori, Kazuhiro Hara, Masahisa Katsuno, Minoru Hoshiyama, Shinji Naganawa, Norio Ozaki, Gen Sobue, Magnetic Resonance in Medical Sciences 20 (2021) 338-346 (available online), doi: 10.2463/mrms.mp.2020-0081
  • Changes in white matter fiber density and morphology across the adult lifespan: A cross‐sectional fixel‐based analysis, Shao Wei Choy, Epifanio Bagarinao, Hirohisa Watanabe, Eric Tatt Wei Ho, Satoshi Maesawa, Daisuke Mori, Kazuhiro Hara, Kazuya Kawabata, Noritaka Yoneyama, Reiko Ohdake, Kazunori Imai, Michihito Masuda, Takamasa Yokoi, Aya Ogura, Toshiaki Taoka, Shuji Koyama, Hiroki C. Tanabe, Masahisa Katsuno, Toshihiko Wakabayashi, Masafumi Kuzuya, Minoru Hoshiyama, Haruo Isoda, Shinji Naganawa, Norio Ozaki, Gen Sobue, Human Brain Mapping 41 (2020) 3198 – 3211, doi: 10.1002/hbm.25008
  • Reorganization of brain networks and its association with general cognitive performance over the adult lifespan, Epifanio Bagarinao, Hirohisa Watanabe, Satoshi Maesawa, Daisuke Mori, Kazuhiro Hara, Kazuya Kawabata, Noritaka Yoneyama, Reiko Ohdake, Kazunori Imai, Michihito Masuda, Takamasa Yokoi, Aya Ogura, Toshiaki Taoka, Shuji Koyama, Hiroki C. Tanabe, Masahisa Katsuno, Toshihiko Wakabayashi, Masafumi Kuzuya, Norio Ozaki, Minoru Hoshiyama, Haruo Isoda, Shinji Naganawa, Gen Sobue, Scientific Reports 9 (2019) 11352, doi: 10.1038/s41598-019-47922-x
  • An unbiased data-driven age-related structural brain parcellation for the identification of intrinsic brain volume changes over the adult lifespan, Epifanio Bagarinao, Hirohisa Watanabe, Satoshi Maesawa, Daisuke Mori, Kazuhiro Hara, Kazuya Kawabata, Noritaka Yoneyama, Reiko Ohdake, Kazunori Imai, Michihito Masuda, Takamasa Yokoi, Aya Ogura, Toshihiko Wakabayashi, Masafumi Kuzuya, Norio Ozaki, Minoru Hoshiyama, Haruo Isoda, Shinji Naganawa, Gen Sobue, Neuroimage 169 (2018) 134 – 144. doi: 10.1016/j.neuroimage.2017.12.014

Research Funding

  • Co-Investigator, Research for development of connectome-based functional neurosurgery and non-invasive simulation system, KAKENHI Grant-In-Aid for Scientific Research B (FY2022-2026), PI: 前澤 聡 (Satoshi Maesawa)
  • Principal Investigator, Real-time precision functional network mapping of the human brain for neurosurgical applications, KAKENHI Grant-In-Aid for Scientific Research C (FY2021-2023)
  • Co-Investigator, 統合失調症における加齢に伴う脳神経回路病態を解明する, Grant-In-Aid for Scientific Research C (FY2021 – 2023), PI: 山本 真江里 (Maeri Yamamoto)
  • Co-Investigator, 慢性感覚障害とその評価に関する脳ネットワーク機能異常の検出と慢性疼痛評価法の開発 (Development of evaluation method for chronic pain and brain network dysfunction), KAKENHI Grant-In-Aid for Scientific Research C (FY 2020 – 2022), PI: 寳珠山 稔 (Minoru Hoshiyama)
  • Co-Investigator, Estimation of cognitive error risk by using neurofeedback driven dynamic functional connectivity, KAKENHI Grant-In-Aid for Scientific Research B (FY 2019 – 2022), PI: 中井 敏晴 (Toshiharu Nakai)
  • Co-Investigator, 多様なmodalityによる振戦の病態解明とFUSやDBSによる病態修飾, KAKENHI Grant-In-Aid for Scientific Research C (FY 2017 – 2020), PI: 中坪 大輔 (Daisuke Nakatsubo)
  • Co-Investigator, Connectome map for epilepsy surgery originated by network imaging analysis and its justification by stereotactic electroencephalography (SEEG), KAKENHI Grant-In-Aid for Scientific Research C (FY 2017 – 2020), PI: 前澤 聡 (Satoshi Maesawa)
  • Co-Investigator, 術中情報を統合した４Dマルチレイヤーナビゲーション・手術プラットフォームの開発, KAKENHI Grant-In-Aid for Scientific Research B (FY 2015 – 2019), PI: 藤井　正純 (Masazumi Fujii)
  • Co-Investigator, リアルタイム機能的MRI－脳波同時測定装置を用いた時間的空間的脳内神経回路解析, KAKENHI Grant-In-Aid for Scientific Research Challenging Exploratory Research (FY 2015 – 2017), PI: 渡辺　弘久 (Hirohisa Watanabe)
  • Co-Investigator, 運動処方への初期応答による高齢者の分類法の確立, KAKENHI Grain-In-Aid for Scientific Research B (FY 2015 – 2019), PI: 中井　敏晴 (Toshiharu Nakai)
  • Principal Investigator, Learning to control brain activity pattern using real-time functional MRI: A feasibility study, KAKENHI Grants-In-Aid for Scientific Research C (FY 2014 – 2016)