Julich-Brain:人間の脳の細胞構造の3D確率アトラス
Katrin Amunts1,2, Hartmut Mohlberg1, Sebastian Bludau3
1Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany. k.amunts@fz-juelich.de h.mohlberg@fz-juelich.de.
Science (New York, N.Y.)
|August 1, 2020
まとめ
皮質と皮質下部の領域をマッピングする 確率的な3D脳アトラスです このリソースは個々の脳変異を説明し,神経イメージングとモデリング研究をサポートします.
科学分野:
- 神経科学
- 脳のマッピング
- 計算神経科学
背景:
- 脳の構造を微細レベルで理解するには 細胞構造が不可欠です
- 正確な脳アトラスは 神経画像と計算モデルにおける一貫した分析に不可欠です
- 以前のアトラスはしばしば確率的表現が欠けていて,個体間の変化を捉える能力を制限していた.
研究 の 目的:
- ジュリッヒ・ブレインを紹介します 人間の脳の新型3Dサイトアーキテクティック・アトラスです
- 皮質領域と皮質下核をマッピングするための包括的なリソースを提供します.
- 先進的な神経イメージング研究,モデリング,シミュレーションを容易にする.
主な方法:
- 国境検知とデータ処理のための相互依存のワークフローの開発
- 大規模なデータ処理のための出所追跡と柔軟な実行チェーンの導入
- 確率的なサイトアーキテクトニックの地図と並行して,完全な皮質のカバーのためのギャップマップの統合.
主要な成果:
- 詳細なサイトアーキテクトニックの地図を持つ確率的な3Dアトラスの作成 (ジュリッヒ-ブレイン).
- アトラスの個別の脳変異の説明能力の実証.
- ギャップマップを組み込むことにより,完全な皮質のカバーを達成しました.
結論:
- Julich-Brainは神経科学コミュニティにダイナミックでオープンで相互運用可能なリソースを提供します.
- アトラスの確率論的性質は 個々の脳の違いの研究に有用性を高める.
- このアトラスは,神経画像分析から複雑なモデリングやシミュレーションまで,幅広いアプリケーションをサポートしています.
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