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Assessment of Diffusion and Perfusion

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Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this principle...

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Updated: Jul 14, 2026

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

来自青少年大脑认知发展研究的协调扩散MRI数据和白质量测量.

Suheyla Cetin-Karayumak^1,2, Fan Zhang³, Ryan Zurrin⁴

¹Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA. skarayumak@bwh.harvard.edu.

Scientific data

|February 27, 2024

概括

青少年大脑认知发展 (ABCD) 研究的协调扩散MRI数据现在已经可用了. 这一庞大的数据集解决了扫描器的变异性,使青少年大脑发育和结构连接的强大研究成为可能.

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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

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Last Updated: Jul 14, 2026

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

科学领域:

神经成像是一种神经成像.
发育神经科学的发展神经科学.
计算神经科学是一种神经科学.

背景情况:

青少年大脑认知发展研究 (ABCD) 是对儿童和青少年发育的主要纵向研究.
扩散MRI (dMRI) 数据中的特定位置扫描仪变异性阻碍了其用于大规模分析.
之前对ABCDdMRI数据的分析受到数据协调挑战的限制.

研究的目的:

从ABCD Study®中创建一个协调和处理的dMRI数据集.
为了能够对青春期的结构性大脑连接进行强有力的调查.
为研究神经发育轨迹提供有价值的资源.

主要方法:

从ABCD Study®基线会议中对9,345名受试者的dMRI数据进行协调.
使用大量的计算资源 (大约. 5万个CPU小时) 进行处理.
质量控制,全脑通道图和白质分片.

主要成果:

现在可以获得统一的dMRI数据 (72.3TB) 的综合数据集.
该数据集包括800个白质集群和73个标记的白质片段.
每个主体提供804个dMRI衍生测量,方便详细分析.
协调后的实验证实了数据协调过程的有效性.

结论:

协调的ABCDdMRI数据集显著减少了特定地点的变化.
该资源支持对青少年大脑结构连接性的大规模调查.
它为未来关于神经发育障碍和典型发育的研究提供了基础.