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Background: Most studies on stroke have been designed to examine one deficit in isolation; yet, survivors often have multiple deficits in different domains. While the mechanisms underlying multiple-domain deficits remain poorly understood, network-theoretical methods may open new avenues of understanding., Methods: Fifty subacute stroke patients (7±3days poststroke) underwent diffusion-weighted magnetic resonance imaging and a battery of clinical tests of motor and cognitive functions. We defined indices of impairment in strength, dexterity, and attention. We also computed imaging-based probabilistic tractography and whole-brain connectomes. To efficiently integrate inputs from different sources, brain networks rely on a rich-club of a few hub nodes. Lesions harm efficiency, particularly when they target the rich-club. Overlaying individual lesion masks onto the tractograms enabled us to split the connectomes into their affected and unaffected parts and associate them to impairment., Results: We computed efficiency of the unaffected connectome and found it was more strongly correlated to impairment in strength, dexterity, and attention than efficiency of the total connectome. The magnitude of the correlation between efficiency and impairment followed the order attention>dexterity ≈ strength (strength: | r |=.03, P =0.02, dexterity: | r |=.30, P =0.05, attention: | r |=.55, P <0.001). Network weights associated with the rich-club were more strongly correlated to efficiency than non-rich-club weights., Conclusions: Attentional impairment is more sensitive to disruption of coordinated networks between brain regions than motor impairment, which is sensitive to disruption of localized networks. Providing more accurate reflections of actually functioning parts of the network enables the incorporation of information about the impact of brain lesions on connectomics contributing to a better understanding of underlying stroke mechanisms.

Background: Leukoencephalopathy with cerebral calcifications and cysts (LCC) is a recently described, very rare entity, clinically characterized by progressive neurological deficits such as cognitive decline, epileptic seizures, pyramidal, extrapyramidal and cerebellar symptoms/signs. With the exception of two patients with adult onset, in all previously described cases symptoms onset occurred between early infancy and adolescence., Results: We report a case of late onset LCC in a 59-year-old woman presenting with urinary and fecal incontinence and behavioural changes, then rapid progression with hemianopia, hemiparesis, ataxia and cognitive decline. Extensive work-up was performed, including brain magnetic resonance imaging, magnetic resonance spectroscopy, cyst fluid analysis and brain biopsy, confirming the final diagnosis of LCC., Conclusion: Our case supports the existence of a late onset adult form of LCC.