Combining structural connectivity and response latencies to model the structure of the visual system.
Combining structural connectivity and response latencies to model the structure of the visual system.
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DOI：
10.1371/journal.pcbi.1000159
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发表时间：
2008-08-29
影响因子：
4.3
通讯作者：
Goebel R
中科院分区：
文献类型：
--
作者：
Capalbo M;Postma E;Goebel R
有几种方法可以确定大脑的连通性，这些方法导致明显不同的拓扑结构，通常彼此不兼容。具体来说，最近的单细胞记录结果似乎与当前的结构连接模型不兼容。我们提出了一种新的方法，结合解剖和时间的限制，产生生物上合理的连接模式的猕猴的视觉系统。我们的方法需要从CoCoMac数据库和最近的单细胞记录数据的结构连接数据作为输入，并采用优化技术，以达到一个新的连接模式的视觉系统，这是在协议的两种类型的实验数据。新的连接模式产生了一个修订后的模型，比目前的模型具有更少的水平。此外，它还引入了皮质下-皮质连接。我们表明，这些连接是必不可少的解释延迟数据，与我们目前的知识的视觉系统的结构连接，并可能解释最近的功能成像结果在人类。此外，我们表明，修订后的模型是不欠约束像以前的模型，可以扩展到包括新的数据和其他类型的数据。我们的结论是，修订后的模型的视觉系统的连接反映了目前的知识的视觉系统的结构和功能，并解决了一些以前的模型的局限性。视觉感知对我们来说非常重要，如果我们想象自己是盲人，我们很容易意识到这一点。视觉系统由许多相互连接的大脑区域组成。如果我们要了解视觉系统的功能，那么我们需要了解这些区域之间的连接。目前的视觉系统模型有许多局限性。其中之一是，神经信号到达某个区域所需的时间往往与该区域在系统整体结构中的位置不一致;例如，信号可能相对快速地到达视觉系统中通常位于“较高”的区域，而缓慢地到达位于“较低”部分的区域。我们将猴子大脑中已知的连接数据与时序数据相结合，以找到与这两种数据一致的网络结构。结果表明，当网络包含从皮层下区域到“更高”皮层区域的直接路线时，可以解释时序数据。我们表明，我们的模型比以前的模型具有更少的局限性，并可能解释人类大脑连接研究中尚未解决的问题。
Several approaches exist to ascertain the connectivity of the brain, and these approaches lead to markedly different topologies, often incompatible with each other. Specifically, recent single-cell recording results seem incompatible with current structural connectivity models. We present a novel method that combines anatomical and temporal constraints to generate biologically plausible connectivity patterns of the visual system of the macaque monkey. Our method takes structural connectivity data from the CoCoMac database and recent single-cell recording data as input and employs an optimization technique to arrive at a new connectivity pattern of the visual system that is in agreement with both types of experimental data. The new connectivity pattern yields a revised model that has fewer levels than current models. In addition, it introduces subcortical–cortical connections. We show that these connections are essential for explaining latency data, are consistent with our current knowledge of the structural connectivity of the visual system, and might explain recent functional imaging results in humans. Furthermore we show that the revised model is not underconstrained like previous models and can be extended to include newer data and other kinds of data. We conclude that the revised model of the connectivity of the visual system reflects current knowledge on the structure and function of the visual system and addresses some of the limitations of previous models. Visual perception is very important to us, something we can easily come to realize if we imagine ourselves blind. The visual system consists of numerous interconnected brain areas. If we are to understand the functioning of the visual system, then we will need to understand the connectivity between these areas. Current models of the visual system have a number of limitations. One of these is that the time it takes for the neural signal to reach a certain area often seems inconsistent with the place of that area in the overall structure of the system; e.g., the signal might arrive relatively quickly at an area generally located “higher” in the visual system and slowly at an area located in the “lower” part. We combine data about the known connectivity in the monkey brain with timing data to find a network structure that is consistent with both kinds of data. The results show that the timing data can be explained when the network contains direct routes from subcortical areas to “higher” cortical areas. We show that our model has fewer limitations than previous models and might explain unresolved issues in the study of connectivity in the human brain.
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影响因子：
--
作者：
Bullier, J
通讯作者：
Bullier, J
影响因子：
3.7
作者：
Felleman, Daniel J.;Van Essen, David C.
通讯作者：
Van Essen, David C.
影响因子：
4.3
作者：
Kaiser, Marcus;Hilgetag, Claus C
通讯作者：
Hilgetag, Claus C
影响因子：
2.5
作者：
DISTLER, C;BOUSSAOUD, D;UNGERLEIDER, LG
通讯作者：
UNGERLEIDER, LG
DOI：
10.1016/0010-4809(90)90007-y
发表时间：
1990-02-01
期刊：
COMPUTERS AND BIOMEDICAL RESEARCH
影响因子：
--
作者：
NICOLELIS, MAL;TINONE, G;VANDEBILT, MT
通讯作者：
VANDEBILT, MT