期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 110, 期 4, 页码 1518-1523出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1210126110
关键词
brain injury; superior temporal cortex; voxelwise lesion symptom mapping; distributed network
资金
- National Institute of Mental Health National Research Service [F31-086248, F31-086255]
- National Institutes of Health Grant [R01-NS054266]
- Deutsche Forschungsgemeinschaft Grant [KA 1258/10-1]
The study of stroke patients with modern lesion-symptom analysis techniques has yielded valuable insights into the representation of spatial attention in the human brain. Here we introduce an approach-multivariate pattern analysis-that no longer assumes independent contributions of brain regions but rather quantifies the joint contribution of multiple brain regions in determining behavior. In a large sample of stroke patients, we found patterns of damage more predictive of spatial neglect than the best-performing single voxel. In addition, modeling multiple brain regions-those that are frequently damaged and, importantly, spared-provided more predictive information than modeling single regions. Interestingly, we also found that the superior temporal gyrus demonstrated a consistent ability to improve classifier performance when added to other regions, implying uniquely predictive information. In sharp contrast, classifier performance for both the angular gyrus and insular cortex was reliably enhanced by the addition of other brain regions, suggesting these regions lack independent predictive information for spatial neglect. Our findings highlight the utility of multivariate pattern analysis in lesion mapping, furnishing neuroscience with a modern approach for using lesion data to study human brain function.
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