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Increased Noise in Cortico-Cortical Integration After Mild TBI Measured With the Equivalent Noise Technique

机译:用等效噪声技术测量轻度TBI后皮质-皮质整合中的噪声增加

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摘要

The bulk of deficits accompanying mild traumatic brain injury (mTBI) is understood in terms of cortical integration—mnemonic, attentional, and cognitive disturbances are believed to involve integrative action across brain regions. Independent of integrative disturbances, mTBI may increase cortical noise, and this has not been previously considered. High-level integrative deficits are exceedingly difficult to measure and model, motivating us to utilize a tightly-controlled task within an established quantitative model to separately estimate internal noise and integration efficiency. First, we utilized a contour integration task modeled as a cortical-integration process involving multiple adjacent cortical columns in early visual areas. Second, we estimated internal noise and integration efficiency using the linear amplifier model (LAM). Fifty-seven mTBI patients and 24 normal controls performed a 4AFC task where they had to identify a valid contour amongst three invalid contours. Thresholds for contour amplitude were measured adaptively across three levels of added external orientation noise. Using the LAM, we found that mTBI increased internal noise without affecting integration efficiency. mTBI also caused hemifield bias differences, and efficiency was related to a change of visual habits. Using a controlled task reflecting cortical integration within the equivalent noise framework empowered us to detect increased computational noise that may be at the heart of mTBI deficits. Our approach is highly sensitive and translatable to rehabilitative efforts for the mTBI population, while also implicating a novel hypothesis of mTBI effects on basic visual processing—namely that cortical integration is maintained at the cost of increased internal noise.
机译:轻度颅脑损伤(mTBI)伴随的大部分缺陷被理解为皮质整合-记忆,注意力和认知障碍被认为涉及整个大脑区域的整合作用。独立于综合性干扰,mTBI可能会增加皮层噪声,而以前尚未考虑过这一点。高级别的集成缺陷非常难以测量和建模,这促使我们在已建立的定量模型内利用严格控制的任务来分别估计内部噪声和集成效率。首先,我们利用轮廓整合任务建模为涉及早期视觉区域中多个相邻皮质柱的皮质整合过程。其次,我们使用线性放大器模型(LAM)估算内部噪声和积分效率。 57名mTBI患者和24名正常对照者完成了4AFC任务,他们必须在三个无效轮廓中识别出有效轮廓。在三个附加的外部定向噪声水平上自适应地测量轮廓幅度的阈值。使用LAM,我们发现mTBI在不影响集成效率的情况下增加了内部噪声。 mTBI还引起半场偏倚差异,效率与视觉习惯的改变有关。使用反映等效皮质框架内的皮质整合的受控任务使我们能够检测到可能是mTBI缺陷核心的增加的计算噪声。我们的方法对mTBI人群的修复工作高度敏感且可翻译,同时也暗示了mTBI对基本视觉处理的新假设-即以增加内部噪声为代价来维持皮质整合。

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