title: Cognitive eloquence in neurosurgery: Insight from graph theoretical analysis of complex brain networks.
abstract: The structure and function of the brain can be described by complex network models, and the topological properties of these models can be quantified by graph theoretical analysis. This has given insight into brain regions, known as hubs, which are critical for integrative functioning and information transfer, both fundamental aspects of cognition. In this manuscript a hypothesis is put forward for the concept of cognitive eloquence in neurosurgery; that is regions (cortical, subcortical and white matter) of the brain which may not necessarily have readily identifiable neurological function, but if injured may result in disproportionate cognitive morbidity. To this end, the effects of neurosurgical resection on cognition is reviewed and an overview of the role of complex network analysis in the understanding of brain structure and function is provided. The literature describing network, behavioral, and cognitive effects resulting from lesions to, and disconnections of, centralized hub regions will be emphasized as evidence for the espousal of the concept of cognitive eloquence.
authors.affiliation: University of Calgary, Department of Clinical Neuroscience, Canada. Electronic address: stefan.t.lang@gmail.com.
authors.forename: Stefan
authors.initials: S
authors.lastname: Lang
mesh_terms: D000818:Animals; D001921:Brain / Q000473:pathology* / Q000601:surgery; D001931:Brain Mapping / Q000379:methods*; D003071:Cognition; D056324:Diffusion Tensor Imaging / Q000379:methods; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D008959:Models, Neurological; D008962:Models, Theoretical; D009415:Nerve Net / Q000503:physiopathology*; D009434:Neural Pathways / Q000503:physiopathology*; D009473:Neuronal Plasticity; D009493:Neurosurgery / Q000379:methods*; D066127:White Matter
keywords: Brain mapping; Cognition; Diffusion tensor imaging; Eloquence; Neuroscience; Neurosurgery; fMRI