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Mapping causal functional contributions derived from the clinical assessment of brain damage after stroke.

Zavaglia M, Forkert ND, Cheng B, Gerloff C, Thomalla G, Hilgetag CC - Neuroimage Clin (2015)

Bottom Line: The results revealed regional functional contributions to essential behavioral and cognitive functions as reflected in the NIHSS, particularly by subcortical structures.There were also side specific differences of functional contributions between the right and left hemispheric brain regions which may reflect the dominance of the left hemispheric syndrome aphasia in the NIHSS.Comparison of MSA to established lesion inference methods demonstrated the feasibility of the approach for analyzing clinical data and indicated its capability for objectively inferring functional contributions from multiple injured, potentially interacting sites, at the cost of having to predict the outcome of unknown lesion configurations.

View Article: PubMed Central - PubMed

Affiliation: Department of Computational Neuroscience, University Medical Center Eppendorf, Hamburg University, Martinistra├če 52, Hamburg 20246, Germany ; School of Engineering and Science, Jacobs University Bremen, Campus Ring 1, Bremen 28759, Germany.

ABSTRACT
Lesion analysis reveals causal contributions of brain regions to mental functions, aiding the understanding of normal brain function as well as rehabilitation of brain-damaged patients. We applied a novel lesion inference technique based on game theory, Multi-perturbation Shapley value Analysis (MSA), to a large clinical lesion dataset. We used MSA to analyze the lesion patterns of 148 acute stroke patients together with their neurological deficits, as assessed by the National Institutes of Health Stroke Scale (NIHSS). The results revealed regional functional contributions to essential behavioral and cognitive functions as reflected in the NIHSS, particularly by subcortical structures. There were also side specific differences of functional contributions between the right and left hemispheric brain regions which may reflect the dominance of the left hemispheric syndrome aphasia in the NIHSS. Comparison of MSA to established lesion inference methods demonstrated the feasibility of the approach for analyzing clinical data and indicated its capability for objectively inferring functional contributions from multiple injured, potentially interacting sites, at the cost of having to predict the outcome of unknown lesion configurations. The analysis of regional functional contributions to neurological symptoms measured by the NIHSS contributes to the interpretation of this widely used standardized stroke scale in clinical practice as well as clinical trials and provides a first approximation of a 'map of stroke'.

No MeSH data available.


Related in: MedlinePlus

Comparison approaches of lesion inference. Comparison based on the MNI atlas (we selected 3 slices from the MNI atlas that are representative to cover all structural regions) between correlation coefficients computed with VOI-based Lesion Symptom Correlation, t-scores obtained with Volume-based Lesion Symptom Mapping and normalized mean contribution values for global inverse NIHSS obtained with MSA. The color map is the same for all measures, but at different scales. Black stripes indicate VOIs without a significant value.
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f0030: Comparison approaches of lesion inference. Comparison based on the MNI atlas (we selected 3 slices from the MNI atlas that are representative to cover all structural regions) between correlation coefficients computed with VOI-based Lesion Symptom Correlation, t-scores obtained with Volume-based Lesion Symptom Mapping and normalized mean contribution values for global inverse NIHSS obtained with MSA. The color map is the same for all measures, but at different scales. Black stripes indicate VOIs without a significant value.

Mentions: Fig. 6 shows the outcomes of the Multi-perturbation Shapley value Analysis (same quantities as depicted in Fig. 4), Volume-based Lesion Symptom Mapping and VOI-based Lesion Symptom Correlation, applied separately to the left- and right-hemispheric datasets and shown in the reference space of the MNI atlas, using neurological convention. Black stripes indicate VOIs without a significant value.


Mapping causal functional contributions derived from the clinical assessment of brain damage after stroke.

Zavaglia M, Forkert ND, Cheng B, Gerloff C, Thomalla G, Hilgetag CC - Neuroimage Clin (2015)

Comparison approaches of lesion inference. Comparison based on the MNI atlas (we selected 3 slices from the MNI atlas that are representative to cover all structural regions) between correlation coefficients computed with VOI-based Lesion Symptom Correlation, t-scores obtained with Volume-based Lesion Symptom Mapping and normalized mean contribution values for global inverse NIHSS obtained with MSA. The color map is the same for all measures, but at different scales. Black stripes indicate VOIs without a significant value.
© Copyright Policy - CC BY-NC-ND
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4544394&req=5

f0030: Comparison approaches of lesion inference. Comparison based on the MNI atlas (we selected 3 slices from the MNI atlas that are representative to cover all structural regions) between correlation coefficients computed with VOI-based Lesion Symptom Correlation, t-scores obtained with Volume-based Lesion Symptom Mapping and normalized mean contribution values for global inverse NIHSS obtained with MSA. The color map is the same for all measures, but at different scales. Black stripes indicate VOIs without a significant value.
Mentions: Fig. 6 shows the outcomes of the Multi-perturbation Shapley value Analysis (same quantities as depicted in Fig. 4), Volume-based Lesion Symptom Mapping and VOI-based Lesion Symptom Correlation, applied separately to the left- and right-hemispheric datasets and shown in the reference space of the MNI atlas, using neurological convention. Black stripes indicate VOIs without a significant value.

Bottom Line: The results revealed regional functional contributions to essential behavioral and cognitive functions as reflected in the NIHSS, particularly by subcortical structures.There were also side specific differences of functional contributions between the right and left hemispheric brain regions which may reflect the dominance of the left hemispheric syndrome aphasia in the NIHSS.Comparison of MSA to established lesion inference methods demonstrated the feasibility of the approach for analyzing clinical data and indicated its capability for objectively inferring functional contributions from multiple injured, potentially interacting sites, at the cost of having to predict the outcome of unknown lesion configurations.

View Article: PubMed Central - PubMed

Affiliation: Department of Computational Neuroscience, University Medical Center Eppendorf, Hamburg University, Martinistra├če 52, Hamburg 20246, Germany ; School of Engineering and Science, Jacobs University Bremen, Campus Ring 1, Bremen 28759, Germany.

ABSTRACT
Lesion analysis reveals causal contributions of brain regions to mental functions, aiding the understanding of normal brain function as well as rehabilitation of brain-damaged patients. We applied a novel lesion inference technique based on game theory, Multi-perturbation Shapley value Analysis (MSA), to a large clinical lesion dataset. We used MSA to analyze the lesion patterns of 148 acute stroke patients together with their neurological deficits, as assessed by the National Institutes of Health Stroke Scale (NIHSS). The results revealed regional functional contributions to essential behavioral and cognitive functions as reflected in the NIHSS, particularly by subcortical structures. There were also side specific differences of functional contributions between the right and left hemispheric brain regions which may reflect the dominance of the left hemispheric syndrome aphasia in the NIHSS. Comparison of MSA to established lesion inference methods demonstrated the feasibility of the approach for analyzing clinical data and indicated its capability for objectively inferring functional contributions from multiple injured, potentially interacting sites, at the cost of having to predict the outcome of unknown lesion configurations. The analysis of regional functional contributions to neurological symptoms measured by the NIHSS contributes to the interpretation of this widely used standardized stroke scale in clinical practice as well as clinical trials and provides a first approximation of a 'map of stroke'.

No MeSH data available.


Related in: MedlinePlus