Decoding visual information from high-density diffuse optical tomography neuroimaging data.

Decoding visual information from high-density diffuse optical tomography neuroimaging data.
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DOI:
10.1016/j.neuroimage.2020.117516
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发表时间:
2021-02-01
期刊:
影响因子:
5.7
通讯作者:
Culver JP
Culver JP
中科院分区:
医学1区
文献类型:
--
作者:
Tripathy K;Markow ZE;Fishell AK;Sherafati A;Burns-Yocum TM;Schroeder ML;Svoboda AM;Eggebrecht AT;Anastasio MA;Schlaggar BL;Culver JP

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神经解码在很多方面都很有用,从作为神经科学研究工具到为患有神经系统疾病的患者提供增强交流的手段。然而,解码的应用目前受到传统神经成像模式的限制。皮质电成像需要侵入性神经外科手术,磁共振成像(MRI)对于日常交流等用途过于繁琐,而功能性近红外光谱(fNIRS)等替代技术的图像质量较差。高密度漫射光学断层扫描(HD-DOT)是一种新兴的方式,它使用比fNIRS更密集的光电阵列,将光学神经成像的后勤优势与增强的图像质量相结合。尽管HD-DOT有望促进神经成像领域的应用,但HD-DOT测量的大脑活动解码尚未得到评估。目的:评价HD-DOT在视觉皮层进行解码的可行性和性能。为了验证HD-DOT在单次实验水平解码的可行性,采用模板匹配策略对视觉刺激位置进行解码。采用受试者工作特征(ROC)分析来量化二元视觉解码的敏感性、特异性和再现性。在高采样的参与者中,观察到10次成像期间的平均曲线下面积(auc)大于0.97。对5名参与者的解码进行ROC分析,确定了多个体解码的可重复性和个体间解码的可行性(平均auc为0.7),尽管解码表现在个体之间存在差异。相位编码棋盘刺激被用来评估更复杂的非二进制解码与HD-DOT。在3个高度采样的参与者中,60°宽的棋盘楔形在360°内每秒旋转10°的相位被解码,参与者内误差为25.8±24.7°。参与者之间的解码也是可行的基于排列的显著性检验。使用HD-DOT数据,可以在单次试验水平(无需块平均测试数据)上准确、可重复地解码视觉刺激信息,并跨越一系列细节(对于二进制和非二进制结果)。这些结果为未来HD-DOT更复杂解码的研究和临床应用奠定了基础。
Neural decoding could be useful in many ways, from serving as a neuroscience research tool to providing a means of augmented communication for patients with neurological conditions. However, applications of decoding are currently constrained by the limitations of traditional neuroimaging modalities. Electrocorticography requires invasive neurosurgery, magnetic resonance imaging (MRI) is too cumbersome for uses like daily communication, and alternatives like functional near-infrared spectroscopy (fNIRS) offer poor image quality. High-density diffuse optical tomography (HD-DOT) is an emerging modality that uses denser optode arrays than fNIRS to combine logistical advantages of optical neuroimaging with enhanced image quality. Despite the resulting promise of HD-DOT for facilitating field applications of neuroimaging, decoding of brain activity as measured by HD-DOT has yet to be evaluated. To assess the feasibility and performance of decoding with HD-DOT in visual cortex. To establish the feasibility of decoding at the single-trial level with HD-DOT, a template matching strategy was used to decode visual stimulus position. A receiver operating characteristic (ROC) analysis was used to quantify the sensitivity, specificity, and reproducibility of binary visual decoding. Mean areas under the curve (AUCs) greater than 0.97 across 10 imaging sessions in a highly sampled participant were observed. ROC analyses of decoding across 5 participants established both reproducibility in multiple individuals and the feasibility of inter-individual decoding (mean AUCs > 0.7), although decoding performance varied between individuals. Phase-encoded checkerboard stimuli were used to assess more complex, non-binary decoding with HD-DOT. Across 3 highly sampled participants, the phase of a 60° wide checkerboard wedge rotating 10° per second through 360° was decoded with a within-participant error of 25.8±24.7°. Decoding between participants was also feasible based on permutation-based significance testing. Visual stimulus information can be decoded accurately, reproducibly, and across a range of detail (for both binary and non-binary outcomes) at the single-trial level (without needing to block-average test data) using HD-DOT data. These results lay the foundation for future studies of more complex decoding with HD-DOT and applications in clinical populations.
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