Lesion Distribution Across Different Behavioral Deficit Domains in Acute Ischemic Stroke Patients

The understanding of the underlying neurobiology of behavioral dysfunction provides significant insights in therapeutic intervention planning in stroke. There have been a variety of lesion-behavior mapping studies to relate the location of brain injury to neurological symptoms. However, these studies were mostly focused on exploring the relationship between stroke lesion location with a specific behavioral deficit domain, which were based on a limited sample size. In this study, we investigated the relationship between stroke lesion distribution and behavior deficits based on a large stroke patient cohort ($\mathrm{N}=632$), with neurological symptoms spanning across all the representative domains. We divided the data into five clusters of behavioral deficits, including cognitive, motor, somatosensory, visual deficits and limb ataxia groups, based on the NIHSS sub-scores using the hierarchical agglomerative clustering algorithm. The lesion distribution in major blood supply territories were investigated and the lesion loads in the high injury incidence area were compared across different behavior deficits domains of patients. The middle cerebral artery (MCA) territory contained the most lesions and the cognitive deficit group had the highest lesion rate in MCA. The lesion loads of basal ganglia were higher in patients with dominant visual or cognitive deficits. The lesion load of internal capsule anterior limb was higher in visual and cognitive deficits groups. Our study of lesion characteristics might shed light on the understanding of the lesion-behavior relationship in ischemic stroke patients.

[1]  S. Agarwal,et al.  Neuroanatomy, Internal Capsule , 2019 .

[2]  M. Pessin,et al.  Anatomy of sensory findings in patients with posterior cerebral artery territory infarction. , 1999, Archives of neurology.

[3]  P. Bath,et al.  The Cog-4 Subset of the National Institutes of Health Stroke Scale as a Measure of Cognition: Relationship with Baseline Factors and Functional Outcome after Stroke Using Data from the Virtual International Stroke Trials Archive , 2013, Stroke research and treatment.

[4]  Maurizio Filippone,et al.  Decoding post-stroke motor function from structural brain imaging , 2016, NeuroImage: Clinical.

[5]  J. Stein,et al.  Comparison of Clinical Characteristics and Functional Outcomes of Ischemic Stroke in Different Vascular Territories , 2007, Stroke.

[6]  H. Ellis stroke , 1997, The Lancet.

[7]  O. Wu,et al.  Spatial Signature of White Matter Hyperintensities in Stroke Patients , 2018, bioRxiv.

[8]  Robert R. Sokal,et al.  A statistical method for evaluating systematic relationships , 1958 .

[9]  W. Heindel,et al.  The impact of lesion location on dysphagia incidence, pattern and complications in acute stroke. Part 2: Oropharyngeal residue, swallow and cough response, and pneumonia , 2017, European journal of neurology.

[10]  V. Mok,et al.  Strategic infarct location for post-stroke cognitive impairment: A multivariate lesion-symptom mapping study , 2017, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[11]  Chi-Wing Fu,et al.  Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation , 2019, MICCAI.

[12]  Parashkev Nachev,et al.  The dimensionalities of lesion-deficit mapping , 2017, Neuropsychologia.

[13]  Bastian Cheng,et al.  Voxel-based lesion-symptom mapping of stroke lesions underlying somatosensory deficits , 2015, NeuroImage: Clinical.

[14]  Chris Rorden,et al.  Mapping human brain lesions and their functional consequences , 2018, NeuroImage.

[15]  M Corbetta,et al.  Behavioural clusters and predictors of performance during recovery from stroke , 2016, Nature Human Behaviour.

[16]  C. Lebiere,et al.  Conditional routing of information to the cortex: a model of the basal ganglia's role in cognitive coordination. , 2010, Psychological review.

[17]  H. Adams,et al.  The Types of Neurological Deficits Might Not Justify Withholding Treatment in Patients With Low Total National Institutes of Health Stroke Scale Scores , 2012, Stroke.

[18]  Derek B Archer,et al.  A Template and Probabilistic Atlas of the Human Sensorimotor Tracts using Diffusion MRI , 2018, Cerebral cortex.

[19]  Fiona Rowe,et al.  Visual impairment following stroke: do stroke patients require vision assessment? , 2008, Age and ageing.

[20]  O. Hikosaka,et al.  Role of the basal ganglia in the control of purposive saccadic eye movements. , 2000, Physiological reviews.