Lesion-symptom inference

Lesion-symptom inference is a classical instrument to elucidate the anatomical substrates of brain functions in health and disease. In our group, we apply traditional and modern, innovative approaches of lesion-deficit mapping. We create and consolidate imaging and clinical data bases from large clinical trials in multi-national collaborations such as the WAKE-UP trial. We provided comprehensive anatomical maps of functional outcome scores and sensory deficits after stroke (Cheng et al., 2014; Kessner et al., 2019).  In collaboration with our partners, we investigate novel, multivariate models of lesion-deficit mapping to account for the dimensionalities arising both from the brain and lesion architecture using machine learning and mathematical models based on game-theory (Zavaglia et al., 2015).

  • Cheng B, Forkert ND, Zavaglia M, Hilgetag CC, Golsari A, Siemonsen S, et al. Influence of Stroke Infarct Location on Functional Outcome Measured by the Modified Rankin Scale. Stroke 2014; 45: 1695–1702.

  • Kessner SS, Schlemm E, Cheng B, Bingel U, Fiehler J, Gerloff C, et al. Somatosensory Deficits After Ischemic Stroke. Stroke 2019; 50: 1116–1123.

  • Zavaglia M, Forkert ND, Cheng B, Gerloff C, Thomalla G, Hilgetag CC. Mapping causal functional contributions derived from the clinical assessment of brain damage after stroke. NeuroImage Clin 2015; 9: 83–94.