期刊
HUMAN BRAIN MAPPING
卷 42, 期 4, 页码 1070-1101出版社
WILEY
DOI: 10.1002/hbm.25278
关键词
aphasia; brain– behavior relationships; language; lesion symptom mapping; multivariate; stroke; VLSM
资金
- National Institute on Deafness and Other Communication Disorders [R01 DC016345]
- VA Clinical Sciences Research and Development [I01CX001290-01A1]
Lesion symptom mapping (LSM) tools are used to identify neural structures critical for specific behaviors or symptoms. Univariate lesion symptom mapping (ULSM) methods compare test scores in patients with and without lesions on a voxel basis, while multivariate lesion symptom mapping (MLSM) methods consider effects of all lesioned voxels simultaneously. The study compared ULSM and MLSM methods, showing no clear superiority of either, but recommending their combined use for enhanced confidence in results.
Lesion symptom mapping (LSM) tools are used on brain injury data to identify the neural structures critical for a given behavior or symptom. Univariate lesion symptom mapping (ULSM) methods provide statistical comparisons of behavioral test scores in patients with and without a lesion on a voxel by voxel basis. More recently, multivariate lesion symptom mapping (MLSM) methods have been developed that consider the effects of all lesioned voxels in one model simultaneously. In the current study, we provide a much-needed systematic comparison of several ULSM and MLSM methods, using both synthetic and real data to identify the potential strengths and weaknesses of both approaches. We tested the spatial precision of each LSM method for both single and dual (network type) anatomical target simulations across anatomical target location, sample size, noise level, and lesion smoothing. Additionally, we performed false positive simulations to identify the characteristics associated with each method's spurious findings. Simulations showed no clear superiority of either ULSM or MLSM methods overall, but rather highlighted specific advantages of different methods. No single method produced a thresholded LSM map that exclusively delineated brain regions associated with the target behavior. Thus, different LSM methods are indicated, depending on the particular study design, specific hypotheses, and sample size. Overall, we recommend the use of both ULSM and MLSM methods in tandem to enhance confidence in the results: Brain foci identified as significant across both types of methods are unlikely to be spurious and can be confidently reported as robust results.
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