Laurent Marie-Alphée, Audurier Pauline, De Castro Vanessa, Gao Xiaoqing, Durand Jean-Baptiste, Jonas Jacques, Rossion Bruno, Cottereau Benoit R
Université de Lorraine, CNRS, CRAN, F-54000 Nancy, France.
Centre de Recherche Cerveau et Cognition, Université Toulouse 3 Paul Sabatier, CNRS, 31052 Toulouse, France.
Neuroimage. 2023 Apr 15;270:119959. doi: 10.1016/j.neuroimage.2023.119959. Epub 2023 Feb 22.
Non-human primate (NHP) neuroimaging can provide essential insights into the neural basis of human cognitive functions. While functional magnetic resonance imaging (fMRI) localizers can play an essential role in reaching this objective (Russ et al., 2021), they often differ substantially across species in terms of paradigms, measured signals, and data analysis, biasing the comparisons. Here we introduce a functional frequency-tagging face localizer for NHP imaging, successfully developed in humans and outperforming standard face localizers (Gao et al., 2018). FMRI recordings were performed in two awake macaques. Within a rapid 6 Hz stream of natural non-face objects images, human or monkey face stimuli were presented in bursts every 9 s. We also included control conditions with phase-scrambled versions of all images. As in humans, face-selective activity was objectively identified and quantified at the peak of the face-stimulation frequency (0.111 Hz) and its second harmonic (0.222 Hz) in the Fourier domain. Focal activations with a high signal-to-noise ratio were observed in regions previously described as face-selective, mainly in the STS (clusters PL, ML, MF; also, AL, AF), both for human and monkey faces. Robust face-selective activations were also found in the prefrontal cortex of one monkey (PVL and PO clusters). Face-selective neural activity was highly reliable and excluded all contributions from low-level visual cues contained in the amplitude spectrum of the stimuli. These observations indicate that fMRI frequency-tagging provides a highly valuable approach to objectively compare human and monkey visual recognition systems within the same framework.
非人灵长类动物（NHP）神经成像能够为人类认知功能的神经基础提供重要见解。虽然功能磁共振成像（fMRI）定位器在实现这一目标方面可发挥重要作用（Russ等人，2021年），但它们在范式、测量信号和数据分析方面往往因物种不同而存在显著差异，从而导致比较出现偏差。在此，我们介绍一种用于NHP成像的功能频率标记面部定位器，该定位器已在人类中成功开发且性能优于标准面部定位器（Gao等人，2018年）。对两只清醒的猕猴进行了fMRI记录。在快速播放的每秒6帧的自然非面部物体图像流中，每隔9秒就会突然出现人类或猴子面部刺激图像。我们还设置了所有图像经相位扰乱后的对照条件。与人类情况一样，在傅里叶域中，在面部刺激频率（0.111Hz）及其二次谐波（0.222Hz）的峰值处客观地识别并量化了面部选择性活动。在先前被描述为面部选择性的区域，主要是颞上沟（PL、ML、MF簇；还有AL、AF），观察到了具有高信噪比的局灶性激活，无论是人类面部还是猴子面部。在一只猴子的前额叶皮质（PVL和PO簇）中也发现了强烈的面部选择性激活。面部选择性神经活动高度可靠，排除了刺激幅度谱中包含的所有低水平视觉线索的影响。这些观察结果表明，fMRI频率标记提供了一种非常有价值的方法，可在同一框架内客观地比较人类和猴子的视觉识别系统。
