Multiperturbation analysis of distributed neural networks: The case of spatial neglect

Kaufman, Alon; Serfaty, Corinne; Deouell, Leon Y.; Ruppin, Eytan; Soroker, Nachum

doi:10.1002/hbm.20797

Cited by 11 publications

(26 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results demonstrated characteristic functional contributions, particularly of subcortical structures, to basic behavioral functions as captured by the NIHSS, and show similarities as well as systematic differences between the MSA and established lesion inference approaches. This study extends a previous proof-of-concept study by Kaufman et al (2009) , in which the authors applied MSA to CT lesion data and line bisection test scores of 23 right-hemisphere stroke patients, by presently using a substantially larger patient sample (148 cases) in conjunction with a comprehensive clinical stroke score. Moreover, here we computed and discussed functional interactions derived from MSA, and performed a comparison of MSA outcomes with those from several other approaches.…”

Section: Discussionsupporting

confidence: 56%

“…The MSA approach has found a wide range of applications in neuroscience, such as the analysis of reversible deactivation experiments ( Keinan et al, 2004b ) and computational models of neurocontrollers ( Keinan et al, 2006 ), as well as applications in biochemistry and genetics, for instance, the localization of function in gene-regulatory networks from gene knockouts ( Kaufman et al, 2005 ). In a proof-of-concept study for clinical applications, Kaufman et al (2009) applied MSA to lesion data and line bisection test scores of 23 right-hemisphere stroke patients.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Zavaglia

Forkert

Cheng

et al. 2015

NeuroImage: Clinical

View full text Add to dashboard Cite

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’.

show abstract

Section: Discussionsupporting

confidence: 56%

Section: Introductionmentioning

confidence: 99%

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

Zavaglia

Forkert

Cheng

et al. 2015

NeuroImage: Clinical

View full text Add to dashboard Cite

show abstract

“…MSA is a rigorous multivariate game-theorybased method to infer causal regional contributions from behavioral performance, treating brain regions as interacting players in a coalition game. The approach has already found a wide range of applications in neuroscience [Keinan et al, 2004b;Kaufman et al, 2009;Zavaglia et al, 2015, Zavaglia & Hilgetag, 2016a as well as biochemistry and genetics [Kaufman et al, 2005]. It can also compute redundancy in the functional interactions of the brain as well as synergistic interactions between different brain regions.…”

Section: Introductionmentioning

confidence: 99%

Game theoretical mapping of causal interactions underlying visuo‐spatial attention in the human brain based on stroke lesions

Toba

Zavaglia

Rastelli

et al. 2017

Human Brain Mapping

View full text Add to dashboard Cite

Anatomical studies conducted in neurological conditions have developed our understanding of the causal relationships between brain lesions and their clinical consequences. The analysis of lesion patterns extended across brain networks has been particularly useful in offering new insights on brain-behavior relationships. Here, we applied Multi-perturbation Shapley value Analysis (MSA), a multivariate method based on coalitional game theory inferring causal regional contributions to specific behavioral outcomes from the characteristic functional deficits after stroke lesions. We established the causal patterns of contributions and interactions of nodes of the attentional orienting network on the basis of lesion and behavioral data from 25 right hemisphere stroke patients tested in visuo-spatial attention tasks. We calculated the percentage of damaged voxels for five right hemisphere cortical regions contributing to attentional orienting, involving seven specific Brodmann Areas (BA): Frontal Eye Fields, (FEF-BA6), Intraparietal Sulcus (IPS-BA7), Inferior Frontal Gyrus (IFG-BA44/BA45), Temporo-Parietal Junction (TPJ-BA39/BA40) and Inferior Occipital Gyrus (IOG-BA19). We computed the MSA contributions of these seven BAs to three behavioral clinical tests (line bisection, bells cancellation and letter cancelation). Our analyses indicated IPS as the main contributor to the attentional orienting and also revealed synergistic influences among IPS, TPJ and IOG (for bells cancellation and line bisection) and between TPJ and IFG (for bells and letter cancellation tasks). The findings demonstrate the ability of the MSA approach to infer plausible causal contributions of relevant right hemisphere sites in post-stroke visuo-spatial attention and awareness disorders.

show abstract

“…The k-nearest neighbor (k- NN ) approach has been used before for a similar purpose by Kaufman et al [ 29 ], who applied it in their MSA study on spatial neglect patients. The k-NN method is a relatively simple interpolation algorithm in which an object is assigned a value based on the classes (i.e., functional performance score) of its k nearest neighbors, for instance, based on Euclidean distance.…”

Section: Methodsmentioning

confidence: 99%

“…The MSA approach has been applied to neuroscience [ 25 , 26 ], biochemistry, and genetics [ 27 , 28 ]. In the context of clinical lesion analysis, Kaufman et al [ 29 ] applied MSA to lesion data and line bisection test scores of 23 right hemisphere stroke patients. The study focused on 11 grey and white matter regions and used a predictor (specifically, a k-nearest neighbor algorithm) trained on the patient injury data to obtain the line bisection performance for all injury configurations.…”

Section: Introductionmentioning

confidence: 99%

Technical considerations of a game-theoretical approach for lesion symptom mapping

et al. 2016

View full text Add to dashboard Cite

BackgroundVarious strategies have been used for inferring brain functions from stroke lesions. We explored a new mathematical approach based on game theory, the so-called multi-perturbation Shapley value analysis (MSA), to assess causal function localizations and interactions from multiple perturbation data. We applied MSA to a dataset composed of lesion patterns of 148 acute stroke patients and their National Institutes of Health Stroke Scale (NIHSS) scores, to systematically investigate the influence of different parameter settings on the outcomes of the approach. Specifically, we investigated aspects of MSA methodology including the choice of the predictor algorithm (typology and kernel functions), training dataset (original versus binary), as well as the influence of lesion thresholds. We assessed the suitability of MSA for processing real clinical lesion data and established the central parameters for this analysis.ResultsWe derived general recommendations for the analysis of clinical datasets by MSA and showed that, for the studied dataset, the best approach was to use a linear-kernel support vector machine predictor, trained with a binary training dataset, where the binarization was implemented through a median threshold of lesion size for each region. We demonstrated that the results obtained with different MSA variants lead to almost identical results as the basic MSA.ConclusionsMSA is a feasible approach for the multivariate lesion analysis of clinical stroke data. Informed choices need to be made to set parameters that may affect the analysis outcome.

show abstract

Multiperturbation analysis of distributed neural networks: The case of spatial neglect

Cited by 11 publications

References 34 publications

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

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

Game theoretical mapping of causal interactions underlying visuo‐spatial attention in the human brain based on stroke lesions

Technical considerations of a game-theoretical approach for lesion symptom mapping

Contact Info

Product

Resources

About