The effect of acquisition resolution on orientation decoding from V1 BOLD fMRI at 7T

The effect of acquisition resolution on orientation decoding from V1 BOLD fMRI at 7T
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采集分辨率对 7T V1 BOLD fMRI 方向解码的影响

DOI:
10.1016/j.neuroimage.2016.12.040
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发表时间:
2017
期刊:
影响因子:
5.7
通讯作者:
Pollmann
Pollmann
中科院分区:
医学1区
文献类型:
--
作者:
Sengupta;Yakupov;Pollmann

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十年后,它被证明,视觉光栅刺激的方向可以解码从人类视觉皮层活动的多变量模式分类的BOLD功能磁共振成像数据,许多研究已经调查了哪些方面的神经元活动反映在BOLD响应模式,并可用于解码。然而,它仍然是不确定的效果收购分辨率上BOLD功能磁共振成像解码分析。本研究是第一个提供经验性的超高场功能磁共振成像数据记录在四个空间分辨率(0.8毫米,1.4毫米,2毫米,和3毫米各向同性体素大小)在这个话题上-为了测试假设的强度和空间尺度的方向辨别信号。我们提出了详细的分析,与以前的模拟研究的预测,方向解码的性能如何随着不同的采集分辨率而变化。此外,我们还研究了不同的空间滤波程序及其对方向解码的影响。在这里,我们表明,较高分辨率的扫描与随后的下采样或低通滤波产生没有好处的扫描原生记录在相应的较低的分辨率有关的解码精度。BOLD fMRI数据中的方向相关信号在本质上是空间宽带的,包括高空间频率分量,以及先前在文献中提出的大规模偏差。此外,我们发现以上的机会水平的贡献,从大引流静脉方向解码。公开发布了获得的原始数据,以便于进一步调查。
A decade after it was shown that the orientation of visual grating stimuli can be decoded from human visual cortex activity by means of multivariate pattern classification of BOLD fMRI data, numerous studies have investigated which aspects of neuronal activity are reflected in BOLD response patterns and are accessible for decoding. However, it remains inconclusive what the effect of acquisition resolution on BOLD fMRI decoding analyses is. The present study is the first to provide empirical ultra high-field fMRI data recorded at four spatial resolutions (0.8 mm, 1.4 mm, 2 mm, and 3 mm isotropic voxel size) on this topic — in order to test hypotheses on the strength and spatial scale of orientation discriminating signals. We present detailed analysis, in line with predictions from previous simulation studies, about how the performance of orientation decoding varies with different acquisition resolutions. Moreover, we also examine different spatial filtering procedures and its effects on orientation decoding. Here we show that higher-resolution scans with subsequent down-sampling or low-pass filtering yield no benefit over scans natively recorded in the corresponding lower resolution regarding decoding accuracy. The orientation-related signal in the BOLD fMRI data is spatially broadband in nature, includes both high spatial frequency components, as well as large-scale biases previously proposed in the literature. Moreover, we found above chance-level contribution from large draining veins to orientation decoding. Acquired raw data were publicly released to facilitate further investigation.
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