Fogarty Morgan, Rafferty Sean M, Markow Zachary E, O'Sullivan Anthony C, Svoboda Calamity F, George Tessa, King Kelsey, Wilhelm Dana, Tripathy Kalyan, Mugler Emily M, Naufel Stephanie, Yin Allen, Trobaugh Jason W, Eggebrecht Adam T, Richter Edward J, Culver Joseph P
Imaging Science Doctoral Program, Washington University in St. Louis, St. Louis, MO, United States.
Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Imaging Neurosci (Camb). 2025 Jun 20;3. doi: 10.1162/IMAG.a.54. eCollection 2025.
Naturalistic neuroimaging tasks, such as watching movies, are becoming increasingly popular due to being more engaging than resting-state paradigms and more ecologically valid than isolated block-design tasks. As these tasks push the boundaries of naturalistic paradigms, the need for an equally naturalistic imaging device increases. Optical imaging with functional near-infrared spectroscopy (fNIRS) offers a wearable, non-invasive neuroimaging approach. Advancements in high-density diffuse optical tomography (HD-DOT) use a dense array of optical elements to provide overlapping multi-distance fNIRS light measurements for fidelity comparable with functional magnetic resonance imaging (fMRI). Here, to further improve image quality, we increased the density of the imaging grid to 9.75 mm, first nearest neighbor spacing between sources and detectors, leading to a 4-fold increase in measurement density. This very high-density DOT (VHD-DOT) system uses 255 sources and 252 detectors to improve image quality while expanding the field of view. From simulations, the increased density led to improved image resolution across multiple metrics compared with HD-DOT. In vivo group-averaged functional localizer maps are in strong agreement with those collected in MRI on the same cohort of adult participants, indicating that VHD-DOT can be used as a surrogate for fMRI in task-based studies. For a naturalistic movie-viewing task, feature regressor analysis was employed to map audiovisual features from the clip, which also revealed excellent agreement between VHD-DOT and fMRI. Template-based decoding of task and movie-viewing data demonstrates that VHD-DOT signals are repeatable and discriminable, which is necessary for more advanced naturalistic task analyses. This work builds upon previously reported HD-DOT designs to improve the image quality and resolution for whole-head optical imaging. This system is promising for future studies using complex stimuli and analysis protocols, such as decoding, and future work developing wireless VHD-DOT systems.
自然主义神经成像任务,如观看电影,正变得越来越受欢迎,因为它们比静息态范式更具吸引力,且比孤立的组块设计任务更具生态效度。随着这些任务突破自然主义范式的界限,对同样自然主义的成像设备的需求也在增加。功能近红外光谱(fNIRS)光学成像提供了一种可穿戴的、非侵入性的神经成像方法。高密度漫射光学断层扫描(HD-DOT)的进展使用密集的光学元件阵列,以提供重叠的多距离fNIRS光测量,其保真度可与功能磁共振成像(fMRI)相媲美。在此,为了进一步提高图像质量,我们将成像网格的密度增加到9.75毫米,即源和探测器之间的第一最近邻间距,导致测量密度增加了4倍。这种超高密度DOT(VHD-DOT)系统使用255个源和252个探测器,在扩大视野的同时提高图像质量。通过模拟,与HD-DOT相比,密度的增加导致多个指标的图像分辨率得到改善。在成年参与者同一队列中,体内组平均功能定位图与MRI收集的图高度一致,表明VHD-DOT可在基于任务的研究中用作fMRI的替代方法。对于自然主义电影观看任务,采用特征回归分析来映射剪辑中的视听特征,这也揭示了VHD-DOT和fMRI之间的高度一致性。基于模板的任务和电影观看数据解码表明,VHD-DOT信号是可重复和可区分的,这对于更高级的自然主义任务分析是必要的。这项工作基于先前报道的HD-DOT设计,以提高全脑光学成像的图像质量和分辨率。该系统对于未来使用复杂刺激和分析协议(如解码)的研究以及开发无线VHD-DOT系统的未来工作很有前景。