Chai Yuhui, Zhang Ru-Yuan
Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana 61801, Illinois, USA.
Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine and School of Psychology, Shanghai 200030, the People Republic of China.
Psychoradiology. 2024 Nov 22;4:kkae027. doi: 10.1093/psyrad/kkae027. eCollection 2024.
This review examines the methodological challenges and advancements in laminar functional magnetic resonance imaging (fMRI). With the advent of ultra-high-field MRI scanners, laminar fMRI has become pivotal in elucidating the intricate micro-architectures and functionalities of the human brain at a mesoscopic scale. Despite its profound potential, laminar fMRI faces significant challenges such as signal loss at high spatial resolution, limited specificity to laminar signatures, complex layer-specific analysis, the necessity for precise anatomical alignment, and prolonged acquisition times. This review discusses current methodologies, highlights typical challenges in laminar fMRI research, introduces innovative sequence and analysis methods, and outlines potential solutions for overcoming existing technical barriers. It aims to provide a technical overview of the field's current state, emphasizing both the impact of existing hurdles and the advancements that shape future prospects.
本综述探讨了层流功能磁共振成像(fMRI)在方法学上的挑战与进展。随着超高场MRI扫描仪的出现,层流fMRI在以介观尺度阐明人类大脑复杂的微观结构和功能方面变得至关重要。尽管层流fMRI具有巨大潜力,但它面临着诸多重大挑战,如高空间分辨率下的信号丢失、对层流特征的特异性有限、复杂的层特异性分析、精确解剖对齐的必要性以及较长的采集时间。本综述讨论了当前的方法,强调了层流fMRI研究中的典型挑战,介绍了创新的序列和分析方法,并概述了克服现有技术障碍的潜在解决方案。其目的是提供该领域当前状态的技术概述,既强调现有障碍的影响,也强调塑造未来前景的进展。