Anatomical and functional assemblies of brain BOLD oscillations.
Anatomical and functional assemblies of brain BOLD oscillations.
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DOI：
10.1523/jneurosci.1296-11.2011
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发表时间：
2011-05-25
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影响因子：
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通讯作者：
Apkarian AV
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作者：
Baria AT;Baliki MN;Parrish T;Apkarian AV
大脑振荡活动长期以来被认为具有空间特性，其细节尚未明确。在此，我们研究了通过血氧水平依赖（BOLD）测量的人类大脑振荡活动的空间组织规则。静息态BOLD信号被转换到频率空间（韦尔奇方法），在受试者中取平均值，并将其空间分布作为四个频段的函数进行研究，涵盖了BOLD的全带宽。大脑在每个频段都显示出受解剖结构限制的功率分布。这一结果在一个包含195名受试者的存储库数据集中得到了重复验证。接下来，我们通过将新皮质划分为近似布罗德曼区（BAs）的区域来研究更大尺度的组织。这表明具有简单功能/连接性（单模态）的布罗德曼区与具有复杂特性（跨模态）的布罗德曼区相比，主要由低频BOLD振荡主导，并且在视觉腹侧通路中，我们观察到随着布罗德曼区离初级视觉皮质越远（复杂性增加），功率向更高频段逐渐转移，这将BOLD的频率特性与神经纤维联系起来。此外，默认模式网络的BOLD振荡特性表明它由不同的频率依赖区域组成。当对一个视觉 - 运动任务进行相同的分析时，在大脑中大部分通用线性模型未识别的部位，可以检测到BOLD振荡的频率依赖性全局和体素级变化。因此，对全带宽BOLD振荡的分析揭示了新的大脑组织规则，将解剖结构和功能网络与特征性的BOLD振荡联系起来。该方法还确定了与对外界输入的反应相关的大脑内在特性的变化。
Brain oscillatory activity has long been thought to have spatial properties, the details of which are unresolved. Here we examine spatial organizational rules for the human brain oscillatory activity as measured by blood oxygen level-dependent (BOLD). Resting state BOLD signal was transformed into frequency space (Welch’s method), averaged across subjects, and its spatial distribution studied as a function of four frequency bands, spanning the full bandwidth of BOLD. The brain showed anatomically constrained distribution of power for each frequency band. This result was replicated on a repository dataset of 195 subjects. Next, we examined larger-scale organization by parceling the neocortex into regions approximating Brodmann Areas (BAs). This indicated that BAs of simple function/connectivity (unimodal), vs. complex properties (transmodal), are dominated by low frequency BOLD oscillations, and within the visual ventral stream we observe a graded shift of power to higher frequency bands for BAs further removed from the primary visual cortex (increased complexity), linking frequency properties of BOLD to hodology. Additionally, BOLD oscillation properties for the default mode network demonstrated that it is composed of distinct frequency dependent regions. When the same analysis was performed on a visual-motor task, frequency-dependent global and voxel-wise shifts in BOLD oscillations could be detected at brain sites mostly outside those identified with general linear modeling. Thus, analysis of BOLD oscillations in full bandwidth uncovers novel brain organizational rules, linking anatomical structures and functional networks to characteristic BOLD oscillations. The approach also identifies changes in brain intrinsic properties in relation to responses to external inputs.