Psychological Sciences Research Institute (IPSY), Institute of Neuroscience (IoNS), University of Louvain, 10, Place Cardinal Mercier, 1348, Louvain-la-Neuve, Belgium.
Department of Cognitive Neuroscience, Maastricht Brain Imaging Center (M-BIC), Maastricht University, 6211 LK, Maastricht, The Netherlands.
Brain Struct Funct. 2018 Jun;223(5):2433-2454. doi: 10.1007/s00429-018-1630-4. Epub 2018 Mar 3.
Defining the neural basis of perceptual categorization in a rapidly changing natural environment with low-temporal resolution methods such as functional magnetic resonance imaging (fMRI) is challenging. Here, we present a novel fast periodic stimulation (FPS)-fMRI approach to define face-selective brain regions with natural images. Human observers are presented with a dynamic stream of widely variable natural object images alternating at a fast rate (6 images/s). Every 9 s, a short burst of variable face images contrasting with object images in pairs induces an objective face-selective neural response at 0.111 Hz. A model-free Fourier analysis achieves a twofold increase in signal-to-noise ratio compared to a conventional block-design approach with identical stimuli and scanning duration, allowing to derive a comprehensive map of face-selective areas in the ventral occipito-temporal cortex, including the anterior temporal lobe (ATL), in all individual brains. Critically, periodicity of the desired category contrast and random variability among widely diverse images effectively eliminates the contribution of low-level visual cues, and lead to the highest values (80-90%) of test-retest reliability in the spatial activation map yet reported in imaging higher level visual functions. FPS-fMRI opens a new avenue for understanding brain function with low-temporal resolution methods.
使用功能磁共振成像(fMRI)等时间分辨率较低的方法来定义在快速变化的自然环境中进行感知分类的神经基础具有挑战性。在这里,我们提出了一种新颖的快速周期性刺激(FPS)-fMRI 方法,使用自然图像来定义选择性的面孔脑区。人类观察者会看到一个快速变化的、具有广泛变化的自然物体图像的动态流(6 张/秒)。每 9 秒,一对短暂的、变化的面孔图像与物体图像交替出现,会以 0.111Hz 的频率引起客观的选择性面孔神经反应。与具有相同刺激和扫描持续时间的传统块设计方法相比,无模型的傅里叶分析将信号与噪声比提高了两倍,从而可以在所有个体大脑中得出腹侧枕颞皮质中选择性面孔区域的综合图谱,包括前颞叶(ATL)。至关重要的是,所需类别对比的周期性和广泛多样的图像之间的随机可变性有效地消除了低水平视觉线索的贡献,并导致了在更高水平视觉功能成像中报告的空间激活图中迄今为止最高的测试-重测可靠性值(80-90%)。FPS-fMRI 为使用时间分辨率较低的方法来理解大脑功能开辟了新途径。