Department of Psychology, Princeton University, USA.
Neuroimage. 2012 Aug 15;62(2):1272-8. doi: 10.1016/j.neuroimage.2012.02.004. Epub 2012 Feb 13.
Human neuroscience research has changed dramatically with the proliferation and refinement of functional magnetic resonance imaging (fMRI) technologies. The early years of the technique were largely devoted to methods development and validation, and to the coarse-grained mapping of functional topographies. This paper will cover three emerging trends that we believe will be central to fMRI research in the coming decade. In the first section of this paper, we argue in favor of a shift from fine-grained functional labeling toward the characterization of underlying neural processes. In the second section, we examine three methodological developments that have improved our ability to characterize these neural processes using fMRI. In the last section, we highlight the trend towards more ecologically valid fMRI experiments, which engage neural circuits in real life conditions. We note that many of our cognitive faculties emerge from interpersonal interactions, and that a complete understanding of the cognitive processes within a single individual's brain cannot be achieved without understanding the interactions among individuals. Looking forward to the future of human fMRI, we conclude that the major constraint on new discoveries will not be related to the spatiotemporal resolution of the BOLD signal, which is constantly improving, but rather to the precision of our hypotheses and the creativity of our methods for testing them.
随着功能磁共振成像(fMRI)技术的普及和改进,人类神经科学研究发生了巨大变化。该技术的早期阶段主要致力于方法开发和验证,以及功能图谱的粗粒度映射。本文将介绍我们认为在未来十年将成为 fMRI 研究核心的三个新兴趋势。在本文的第一部分,我们主张从细粒度的功能标记转向对潜在神经过程的描述。在第二部分,我们研究了三种改进我们使用 fMRI 描述这些神经过程的能力的方法发展。在最后一部分,我们强调了更符合生态有效性的 fMRI 实验的趋势,这些实验在现实条件下激发神经回路。我们注意到,我们的许多认知能力都源自于人际互动,而如果不了解个体之间的相互作用,就无法全面理解个体大脑中的认知过程。展望人类 fMRI 的未来,我们得出结论,新发现的主要限制因素将不是 BOLD 信号的时空分辨率,因为它在不断提高,而是我们的假设的精确性和我们测试它们的方法的创造性。