Using predictive validity to compare associations between brain damage and behavior.

Using predictive validity to compare associations between brain damage and behavior.
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DOI:
10.1002/hbm.26413
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发表时间:
2023-09
影响因子:
4.8
通讯作者:
Schnur, Tatiana T.
Schnur, Tatiana T.
中科院分区:
医学2区
文献类型:
--
作者:
Magnotti, John F.;Patterson, Jaclyn S.;Schnur, Tatiana T.

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病变行为映射(LBM)提供了体素脑损伤与个体行为差异之间关联的统计图。为了了解两种行为是否是由不同区域的损伤介导的,研究人员经常通过重叠方法或相关方法来比较 LBM 权重输出。然而,这些方法缺乏统计标准来确定两个 LBM 是否不同或相同,并且与 LBM 的主要目标(预测脑损伤行为)脱节。如果没有这样的标准,研究人员可能会根据 LBM 之间的数值差异得出与预测行为无关的结论。我们开发并验证了一种预测有效性比较方法 (PVC),该方法建立了使用预测准确性比较两个 LBM 的统计标准:当且仅当两个 LBM 为正在评估的行为提供独特的预测能力时,两个 LBM 才是不同的。我们将 PVC 应用于两个病变行为中风数据集,证明了其在确定相同和不同病变模式何时出现行为方面的实用性。使用基于大型数据集(n = 131)的比例损伤的基于兴趣区域的模拟,PVC 可以准确地检测到不同区域(高灵敏度)和同一区域(高特异性)介导的行为。重叠法和相关法在模拟数据上的表现都很差。通过客观地确定两种行为缺陷是否可以用单一或不同的脑损伤模式来解释,PVC 在建立大脑行为基础方面提供了关键的进展。我们开发并发布了一个 GUI 驱动的 Web 应用程序以鼓励广泛采用。多变量病变行为图谱(LBM)通常用于总结大脑行为关系,但没有原则性的方法来确定两种行为是否是由不同大脑区域的损伤介导的。我们开发了一种预测有效性比较方法,通过根据预测准确性的差异直接比较两个 LBM 来建立这样的标准。我们发布了一个 GUI 驱动的、开放访问的 Web 应用程序,以鼓励广泛采用。
Lesion‐behavior mapping (LBM) provides a statistical map of the association between voxel‐wise brain damage and individual differences in behavior. To understand whether two behaviors are mediated by damage to distinct regions, researchers often compare LBM weight outputs by either the Overlap method or the Correlation method. However, these methods lack statistical criteria to determine whether two LBM are distinct versus the same and are disconnected from a major goal of LBMs: predicting behavior from brain damage. Without such criteria, researchers may draw conclusions from numeric differences between LBMs that are irrelevant to predicting behavior. We developed and validated a predictive validity comparison method (PVC) that establishes a statistical criterion for comparing two LBMs using predictive accuracy: two LBMs are distinct if and only if they provide unique predictive power for the behaviors being assessed. We applied PVC to two lesion‐behavior stroke data sets, demonstrating its utility for determining when behaviors arise from the same versus different lesion patterns. Using region‐of‐interest‐based simulations derived from proportion damage from a large data set (n = 131), PVC accurately detected when behaviors were mediated by different regions (high sensitivity) versus the same region (high specificity). Both the Overlap method and Correlation method performed poorly on the simulated data. By objectively determining whether two behavioral deficits can be explained by single versus distinct patterns of brain damage, PVC provides a critical advance in establishing the brain bases of behavior. We have developed and released a GUI‐driven web app to encourage widespread adoption. Multivariate lesion behavior mapping (LBM) is often used to summarize brain behavior relationships but there is no principled approach to determine whether two behaviors are mediated by damage to distinct brain regions. We developed a predictive validity comparison method that establishes such a criterion by directly comparing two LBMs based on the difference in predictive accuracy. We released a GUI‐driven, open‐access web app to encourage widespread adoption.
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