Jacob Michael, Ford Judith, Deacon Terrence
Mental Health Service, San Francisco VA Healthcare System, San Francisco, CA, United States.
Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Front Hum Neurosci. 2023 Apr 11;17:976036. doi: 10.3389/fnhum.2023.976036. eCollection 2023.
The brain is a living organ with distinct metabolic constraints. However, these constraints are typically considered as secondary or supportive of information processing which is primarily performed by neurons. The default operational definition of neural information processing is that (1) it is ultimately encoded as a change in individual neuronal firing rate as this correlates with the presentation of a peripheral stimulus, motor action or cognitive task. Two additional assumptions are associated with this default interpretation: (2) that the incessant background firing activity against which changes in activity are measured plays no role in assigning significance to the extrinsically evoked change in neural firing, and (3) that the metabolic energy that sustains this background activity and which correlates with differences in neuronal firing rate is merely a response to an evoked change in neuronal activity. These assumptions underlie the design, implementation, and interpretation of neuroimaging studies, particularly fMRI, which relies on changes in blood oxygen as an indirect measure of neural activity. In this article we reconsider all three of these assumptions in light of recent evidence. We suggest that by combining EEG with fMRI, new experimental work can reconcile emerging controversies in neurovascular coupling and the significance of ongoing, background activity during resting-state paradigms. A new conceptual framework for neuroimaging paradigms is developed to investigate how ongoing neural activity is "entangled" with metabolism. That is, in addition to being recruited to support locally evoked neuronal activity (the traditional hemodynamic response), changes in metabolic support may be independently "invoked" by non-local brain regions, yielding flexible neurovascular coupling dynamics that inform the cognitive context. This framework demonstrates how multimodal neuroimaging is necessary to probe the neurometabolic foundations of cognition, with implications for the study of neuropsychiatric disorders.
大脑是一个具有独特代谢限制的活体器官。然而,这些限制通常被视为对主要由神经元执行的信息处理起次要或支持作用。神经信息处理的默认操作定义是:(1)它最终被编码为单个神经元放电率的变化,因为这与外周刺激、运动动作或认知任务的呈现相关。与这种默认解释相关的还有另外两个假设:(2)测量活动变化所依据的持续背景放电活动在赋予神经放电的外在诱发变化以意义方面不起作用;(3)维持这种背景活动并与神经元放电率差异相关的代谢能量仅仅是对神经元活动诱发变化的一种反应。这些假设构成了神经影像学研究,尤其是功能磁共振成像(fMRI)研究的设计、实施和解释的基础,功能磁共振成像依赖于血氧变化作为神经活动的间接测量指标。在本文中,我们根据最新证据重新审视这三个假设。我们认为,通过将脑电图(EEG)与功能磁共振成像相结合,新的实验工作可以调和神经血管耦合方面新出现的争议以及静息态范式中持续背景活动的意义。我们开发了一个用于神经影像学范式的新概念框架,以研究持续的神经活动如何与代谢“纠缠”在一起。也就是说,除了被募集来支持局部诱发的神经元活动(传统的血液动力学反应)之外,代谢支持的变化可能由非局部脑区独立“引发”,从而产生灵活的神经血管耦合动态,为认知背景提供信息。这个框架展示了多模态神经影像学对于探究认知的神经代谢基础的必要性,这对神经精神疾病的研究具有启示意义。