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Should Neurosurgeons Try to Preserve Non-Traditional Brain Networks? A Systematic Review of the Neuroscientific Evidence

Journal

JOURNAL OF PERSONALIZED MEDICINE
Volume 12, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/jpm12040587

Keywords

connectome; neurosurgery; brain tumor; default mode network; central executive network; salience network; attention networks

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This study systematically reviewed the clinical importance of non-traditional, large-scale brain networks. The results showed that damage or dysfunction in these networks is associated with neurologic, cognitive, or emotional deficits, with cognitive deficits being the most common symptom. These findings highlight the relevance of preserving these networks in neurosurgical patients.
The importance of large-scale brain networks in higher-order human functioning is well established in neuroscience, but has yet to deeply penetrate neurosurgical thinking due to concerns of clinical relevance. Here, we conducted the first systematic review examining the clinical importance of non-traditional, large-scale brain networks, including the default mode (DMN), central executive (CEN), salience (SN), dorsal attention (DAN), and ventral attention (VAN) networks. Studies which reported evidence of neurologic, cognitive, or emotional deficits in relation to damage or dysfunction in these networks were included. We screened 22,697 articles on PubMed, and 551 full-text articles were included and examined. Cognitive deficits were the most common symptom of network disturbances in varying amounts (36-56%), most frequently related to disruption of the DMN (n = 213) or some combination of DMN, CEN, and SN networks (n = 182). An increased proportion of motor symptoms was seen with CEN disruption (12%), and emotional (35%) or language/speech deficits (24%) with SN disruption. Disruption of the attention networks (VAN/DAN) with each other or the other networks mostly led to cognitive deficits (56%). A large body of evidence is available demonstrating the clinical importance of non-traditional, large-scale brain networks and suggests the need to preserve these networks is relevant for neurosurgical patients.

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