Project/Area Number |
22390275
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Cerebral neurosurgery
|
Research Institution | Osaka University |
Principal Investigator |
|
Co-Investigator(Kenkyū-buntansha) |
HIRATA Masayuki 大阪大学, 医学系研究科, 特任准教授 (30372626)
J Morris Shayne 大阪大学, 医学部付属病院, 医員 (70542116)
YANAGISAWA Takufumi 大阪大学, 医学系研究科, 助教 (90533802)
KISHIMA Haruhiko 大阪大学, 医学系研究科, 講師 (10332743)
SAITOH Youichi 大阪大学, 教授 (20252661)
HASHIMOTO Naoya 大阪大学, 医学系研究科, 准教授 (90315945)
GOTOU Tethu 大阪大学, 医学系研究科, 助教 (80533801)
|
Co-Investigator(Renkei-kenkyūsha) |
MATSUSHITA Kojiro 大阪大学, 医学系研究科, 特任助教 (30531793)
|
Project Period (FY) |
2010 – 2012
|
Project Status |
Completed (Fiscal Year 2012)
|
Budget Amount *help |
¥19,370,000 (Direct Cost: ¥14,900,000、Indirect Cost: ¥4,470,000)
Fiscal Year 2012: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2011: ¥5,720,000 (Direct Cost: ¥4,400,000、Indirect Cost: ¥1,320,000)
Fiscal Year 2010: ¥9,750,000 (Direct Cost: ¥7,500,000、Indirect Cost: ¥2,250,000)
|
Keywords | 脳溝 / 神経接続性 / 皮質脳波 / コヒーレンス / ファイバートラッキング |
Research Abstract |
We performed 3 dimensional neuroanatomical analyses of the central sulcus. The shape of the central sulcus was delineated from MR images using automatic sulcus detection software. Protrusion and surface area of the hand knob was significantly larger in the left side of the anterior wall of the central sulcus. The most medial portion of the hand area was stable in the axial MR images, which was meant to be useful as the origin of the local coordinate system. We applied this technique to intracranial electrode sheet manufacturing. We established a manufacturing method of automatic brain surface detection, mold design using 3D CAD, rapid manufacturing of the mold using a 3D printer, and manufacturing silicone electrode sheet fitting to individual brain surfaces. A high density 3D electrode array made using this method was used for an ALS patient in our clinical research of brain machine interfaces.
|