Xu Jiansong, Calhoun Vince D, Pearlson Godfrey D, Potenza Marc N
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States.
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States ; The Mind Research Network, Albuquerque, New Mexico, United States ; Department of ECE, The University of New Mexico, Albuquerque, New Mexico, United States.
PLoS One. 2014 Jan 31;9(1):e87078. doi: 10.1371/journal.pone.0087078. eCollection 2014.
Functional magnetic resonance imaging (fMRI) studies indicate that the brain organizes its activity into multiple functional networks (FNs) during either resting condition or task-performance. However, the functions of these FNs are not fully understood yet.
METHODOLOGY/PRINCIPAL FINDINGS: To investigate the operation of these FNs, spatial independent component analysis (sICA) was used to extract FNs from fMRI data acquired from healthy participants performing a visual task with two levels of attention and working memory load. The task-related modulations of extracted FNs were assessed. A group of FNs showed increased activity at low-load conditions and reduced activity at high-load conditions. These FNs together involve the left lateral frontoparietal cortex, insula, and ventromedial prefrontal cortex. A second group of FNs showed increased activity at high-load conditions and reduced activity at low-load conditions. These FNs together involve the intraparietal sulcus, frontal eye field, lateral frontoparietal cortex, insula, and dorsal anterior cingulate, bilaterally. Though the two groups of FNs showed opposite task-related modulations, they overlapped extensively at both the lateral and medial frontoparietal cortex and insula. Such an overlap of FNs would not likely be revealed using standard general-linear-model-based analyses.
By assessing task-related modulations, this study differentiated the functional roles of overlapping FNs. Several FNs including the left frontoparietal network are implicated in task conditions of low attentional load, while another set of FNs including the dorsal attentional network is implicated in task conditions involving high attentional demands.
功能磁共振成像(fMRI)研究表明,大脑在静息状态或任务执行过程中会将其活动组织成多个功能网络(FNs)。然而,这些功能网络的功能尚未完全了解。
方法/主要发现:为了研究这些功能网络的运作,采用空间独立成分分析(sICA)从健康参与者执行具有两种注意力和工作记忆负荷水平的视觉任务时获取的fMRI数据中提取功能网络。评估提取的功能网络与任务相关的调制。一组功能网络在低负荷条件下显示活动增加,在高负荷条件下显示活动减少。这些功能网络共同涉及左侧额顶叶外侧皮质、岛叶和腹内侧前额叶皮质。第二组功能网络在高负荷条件下显示活动增加,在低负荷条件下显示活动减少。这些功能网络共同涉及双侧顶内沟、额眼区、额顶叶外侧皮质、岛叶和背侧前扣带回。尽管两组功能网络显示出与任务相关的相反调制,但它们在额顶叶外侧皮质和内侧皮质以及岛叶广泛重叠。使用基于标准通用线性模型的分析不太可能揭示这种功能网络的重叠。
通过评估与任务相关的调制,本研究区分了重叠功能网络的功能作用。包括左侧额顶叶网络在内的几个功能网络与低注意力负荷的任务条件有关,而另一组包括背侧注意力网络的功能网络与涉及高注意力需求的任务条件有关。