Development of statistical methods for longitudinal brain research

• Project/Area Number: 24700286
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Statistical science
• Research Institution: Kyoto University (2013-2015); Kurume University (2012)
• Principal Investigator: Kawaguchi Atsushi 京都大学, 医学(系)研究科(研究院), 准教授 (60389319)
• Project Period (FY): 2012-04-01 – 2016-03-31
• Project Status: Completed (Fiscal Year 2015)
• Budget Amount: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000); Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
• Keywords: 脳・神経 / 画像解析 / 統計学 / 高次元複雑データ / 国際情報交換 / 経時測定 / 認知症 / 脳科学 / 生物統計 / アメリカ / 統計数学 / 高次元データ

Outline of Final Research Achievements

We developed a two-step dimension-reduction method to analyze high-dimensional and high intra correlational brain imaging data. A simulation study showed more significant advantage for the proposed method comparing with existing methods. We show that the proposed method offers classification functions with feasibility and reasonable prediction accuracy in studies of Alzheimer’s and Parkinson's disease.

Research Products

• [Int'l Joint Research] Department of Biostatistics/University of North Carolina(米国)
• [Journal Article] Diagnostic Probability Modeling for Longitudinal Structural Brain MRI Data Analysis (2016)
  • Author(s): Kawaguchi A
  • Journal Title: Statistical Techniques for Neuroscientists Volume: －
  • Acknowledgement Compliant
• [Journal Article] Polynomial Spline Independent Component Analysis with Application to fMRI Data (2016)
  • Author(s): Kawaguchi A, Truong Y
  • Journal Title: Statistical Techniques for Neuroscientists Volume: －
  • Int'l Joint Research
• [Journal Article] Gene expression signature-based prognostic risk score with network structure (2016)
  • Author(s): Kawaguchi A
  • Journal Title: Primary Central Nervous System Lymphoma (PCNSL): Incidence, Management and Outcomes Volume: －
  • Acknowledgement Compliant
• [Journal Article] 2.Different spatial distribution between germinal center B and non-germinal center B primary central nervous system lymphoma revealed by magnetic resonance group analysis. (2014)
  • Author(s): Kinoshita M1, Sasayama T, Narita Y, Yamashita F, Kawaguchi A, Chiba Y, Kagawa N, Tanaka K, Kohmura E, Arita H, Okita Y, Ohno M, Miyakita Y, Shibui S, Hashimoto N, Yoshimine T
  • Journal Title: Neuro Oncol Volume: 16 Issue: 5 Pages: 728-734
  • DOI: 10.1093/neuonc/not319
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] Gene expression signature-based prognostic risk score in patients with glioblastoma. (2013)
  • Author(s): Kawaguchi A, Yajima N, Tsuchiya N, Homma J, Sano M, Natsumeda M, Takahashi H, Fujii Y, Kakuma T, Yamanaka R
  • Journal Title: Cancer Sci Volume: 104 Issue: 9 Pages: 1205-1210
  • DOI: 10.1111/cas.12214
  • Peer Reviewed
• [Journal Article] 脳画像データとバイオマーカーとの関連解析 - sparse PLSの応用- (2013)
  • Author(s): 吉田寿子, 川口 淳, 山下典生
  • Journal Title: 日本統計学会和文誌 Volume: 43(1) Pages: 85-97
  • Peer Reviewed
• [Journal Article] Statistical Analysis of Brain MRI Data (2013)
  • Author(s): 川口 淳
  • Journal Title: Japanese Journal of Biometrics Volume: 33 Issue: 2 Pages: 145-174
  • DOI: 10.5691/jjb.33.145
  • NAID: 10031155996
  • ISSN: 0918-4430, 2185-6494
  • Peer Reviewed
• [Journal Article] Regularized logistic discrimination with basis expansions for the early detection of Alzheimer's disease based on three-dimensional MRI data. (2013)
  • Author(s): Araki,Y., Kawaguchi,A., Yamashita,F.
  • Journal Title: Advances in Data Analysis and Classification Volume: 7 Issue: 1 Pages: 109-119
  • DOI: 10.1007/s11634-013-0127-5
  • Peer Reviewed
• [Journal Article] Radial Basis Function-Sparse Partial Least Squares for Application to Brain Imaging Data (2013)
  • Author(s): Yoshida H., Kawaguchi, A., Tsuruya K.
  • Journal Title: Computational and Mathematical Methods in Medicine Volume: 2013 Pages: 1-7
  • DOI: 10.1155/2013/591032
  • Peer Reviewed
• [Journal Article] Identification and Validation of a Gene Expression Signature That Predicts Outcome in Malignant Glioma Patients (2012)
  • Author(s): Kawaguchi A, Yamanaka R, 他
  • Journal Title: Int J Oncol Volume: 40(3) Pages: 721-30
  • DOI: 10.3892/ijo.2011.1240
  • Peer Reviewed
• [Journal Article] Application of Polynomial Spline Independent Component Analysis to fMRI Data (2012)
  • Author(s): Kawaguchi, A., Truong, Y. Huang, X.
  • Journal Title: Independent Component Analysis for Audio and Biosignal Applications, Ganesh R Naik (Ed.), InTech Volume: - Pages: 197-208
  • DOI: 10.5772/50343
  • ISBN: 9789535107828
  • Peer Reviewed
• [Presentation] Supervised dimension reduction methods for brain imaging data analysis (2015)
  • Author(s): Kawaguchi A.
  • Organizer: Pacific Rim Cancer Biostatistics Conference 2015
  • Place of Presentation: Seattle (USA)
  • Year and Date: 2015-08-15
  • Int'l Joint Research / Invited
• [Presentation] Statistical Method for Association Study between PiB and MRI in Alzheimer's Disease (2015)
  • Author(s): Kawaguchi, A., Yamashita, F.
  • Organizer: The 2015 OHBM Annual Meeting
  • Place of Presentation: USA
  • Year and Date: 2015-06-17 – 2015-06-18
• [Presentation] Statistical Method for Association Study between PiB and MRI in Alzheimer's Disease (2015)
  • Author(s): Kawaguchi A. Yamashita F．
  • Organizer: The 2015 OHBM Annual Meeting
  • Place of Presentation: Honolulu (USA)
  • Year and Date: 2015-06-17
  • Int'l Joint Research
• [Presentation] 構造的脳画像を目的変数とする方法 (2015)
  • Author(s): 川口淳
  • Organizer: 2014年度日本計量生物学会年会
  • Place of Presentation: 京都大学
  • Year and Date: 2015-03-12
• [Presentation] 脳画像データ解析のためのRBF-sPLSの適用 (2015)
  • Author(s): 吉田 寿子，川口淳，山下 典生，鶴屋 和彦
  • Organizer: 科研費シンポジウム「バイオ統計学の挑戦と貢献」
  • Place of Presentation: 九州大学
  • Year and Date: 2015-02-03
• [Presentation] Analysis of Structural Brain MRI Data in Longitudinal Study (2012)
  • Author(s): Kawaguchi, A.
  • Organizer: The XXVIth International Biometric Conference
  • Place of Presentation: Kobe, Japan
• [Presentation] 脳形態と腎機能との関連解析に応用される偏最小二乗回帰法 (2012)
  • Author(s): 吉田 寿子，川口淳，鶴屋 和彦
  • Organizer: 統計関連学会連合大会
  • Place of Presentation: 北海道大学
• [Presentation] 二段階正則化に基づく生存時間解析法と脳画像データへの適用 (2012)
  • Author(s): 荒木 由布子, 川口淳
  • Organizer: 統計関連学会連合大会
  • Place of Presentation: 北海道大学
• [Presentation] Two-Way Regularized Functional Classification for High Dimensional Brain MRI Data (2012)
  • Author(s): Araki, Y. and Kawaguchi, A.
  • Organizer: The XXVIth International Biometric Conference
  • Place of Presentation: Kobe, Japan
• [Presentation] 多施設臨床試験における生存時間解析のためのノンパラメトリック共変量調整法 (2012)
  • Author(s): 川口淳
  • Organizer: 日本計量生物学会年会
  • Place of Presentation: 統計数理研究所
• [Presentation] 認知症患者の脳画像と血液・脳脊髄液バイオマーカーの解析
  • Author(s): 吉田 寿子，川口淳，山下典生
  • Organizer: 日本計量生物学会年会
  • Place of Presentation: パルセいいざか(福島市)
• [Remarks] msma: Multiblock Sparse Multivariable Analysis
  • URL: https://cran.r-project.org/web/packages/msma/
• [Patent(Industrial Property Rights)] 中枢神経原発悪性リンパ腫患者の予後予測方法、キット、遺伝子セット及び使用 (2012)
  • Inventor(s): 山中龍也，岩立康男，藤井幸彦，角間辰之，川口淳，梶原浩司
  • Industrial Property Rights Holder: 京都府立医科大学，千葉大学，新潟大学，久留米大学，山口大学
  • Industrial Property Rights Type: 特許
  • Filing Date: 2012-07-13
  • Overseas