列和层的中观尺度闭环 fMRI:我们能做到吗?

IF 5.4 2区 生物学 Q1 BIOLOGY
Denis Chaimow, Romy Lorenz, Nikolaus Weiskopf
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引用次数: 0

摘要

fMRI 技术的进步,包括超高磁场(≥ 7 T)和提高空间特异性的采集方法,为在层和列的尺度上研究人类大脑皮层铺平了道路。这种中观尺度有望提高对人类皮层功能的机理认识,而迄今为止,只有侵入性动物神经生理学才能做到这一点。近年来,越来越多的研究采用这种方法来更好地了解大脑皮层在感知和认知方面的功能。这篇展望未来的文章提出了一个问题:闭环 fMRI 研究是否也能从这些方法中获益,从而实现层和柱的特异性。我们概述了潜在应用,并讨论了概念和具体挑战,包括数据采集和中观大脑活动的意志控制。我们预计,具有介观分辨率的 fMRI 将在闭环 fMRI 和神经反馈中发挥重要作用,为了解大脑功能和潜在的临床应用提供新的视角。本文是主题 "神经反馈:内源性神经调节的新领域和神经认知机制 "的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Closed-loop fMRI at the mesoscopic scale of columns and layers: Can we do it and why would we want to?

Technological advances in fMRI including ultra-high magnetic fields (≥ 7 T) and acquisition methods that increase spatial specificity have paved the way for studies of the human cortex at the scale of layers and columns. This mesoscopic scale promises an improved mechanistic understanding of human cortical function so far only accessible to invasive animal neurophysiology. In recent years, an increasing number of studies have applied such methods to better understand the cortical function in perception and cognition. This future perspective article asks whether closed-loop fMRI studies could equally benefit from these methods to achieve layer and columnar specificity. We outline potential applications and discuss the conceptual and concrete challenges, including data acquisition and volitional control of mesoscopic brain activity. We anticipate an important role of fMRI with mesoscopic resolution for closed-loop fMRI and neurofeedback, yielding new insights into brain function and potentially clinical applications.This article is part of the theme issue 'Neurofeedback: new territories and neurocognitive mechanisms of endogenous neuromodulation'.

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来源期刊
CiteScore
11.80
自引率
1.60%
发文量
365
审稿时长
3 months
期刊介绍: The journal publishes topics across the life sciences. As long as the core subject lies within the biological sciences, some issues may also include content crossing into other areas such as the physical sciences, social sciences, biophysics, policy, economics etc. Issues generally sit within four broad areas (although many issues sit across these areas): Organismal, environmental and evolutionary biology Neuroscience and cognition Cellular, molecular and developmental biology Health and disease.
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