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通过使用分段有源噪声消除技术从功能磁共振成像扫描中的声学噪声中提取明显的言语反应。

Extraction of overt verbal response from the acoustic noise in a functional magnetic resonance imaging scan by use of segmented active noise cancellation.

作者信息

Jung Kwan-Jin, Prasad Parikshit, Qin Yulin, Anderson John R

机构信息

Brain Imaging Research Center, University of Pittsburgh & Carnegie Mellon University, 3025 East Carson Street, Pittsburgh, PA 15203, USA.

出版信息

Magn Reson Med. 2005 Mar;53(3):739-44. doi: 10.1002/mrm.20398.

DOI:10.1002/mrm.20398
PMID:15723385
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3591487/
Abstract

A method to extract the subject's overt verbal response from the obscuring acoustic noise in an fMRI scan is developed by applying active noise cancellation with a conventional MRI microphone. Since the EPI scanning and its accompanying acoustic noise in fMRI are repetitive, the acoustic noise in one time segment was used as a reference noise in suppressing the acoustic noise in subsequent segments. However, the acoustic noise from the scanner was affected by the subject's movements, so the reference noise was adaptively adjusted as the scanner's acoustic properties varied in time. This method was successfully applied to a cognitive fMRI experiment with overt verbal responses.

摘要

通过使用传统的MRI麦克风进行有源噪声消除,开发了一种从功能磁共振成像(fMRI)扫描中掩盖的声学噪声中提取受试者公开言语反应的方法。由于fMRI中的回波平面成像(EPI)扫描及其伴随的声学噪声是重复的,因此将一个时间段内的声学噪声用作抑制后续时间段内声学噪声的参考噪声。然而,扫描仪发出的声学噪声会受到受试者运动的影响,因此随着扫描仪声学特性随时间变化,参考噪声会进行自适应调整。该方法已成功应用于具有公开言语反应的认知fMRI实验。

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本文引用的文献

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