A Network-Based Approach to Glioma Surgery : Insights from Functional Neurosurgery

The evaluation and manipulation of structural and functional networks, which has been integral to advancing functional neurosurgery, is beginning to transcend classical subspecialty boundaries. Notably, its application in neuro-oncologic surgery has stimulated an exciting paradigm shift from the traditional localizationist approach, which is lacking in nuance and optimization. This manuscript reviews the existing literature and explores how structural and functional connectivity analyses have been leveraged to revolutionize and individualize pre-operative tumor evaluation and surgical planning. We describe how this novel approach may improve cognitive and neurologic preservation after surgery and attenuate tumor spread. Furthermore, we demonstrate how connectivity analysis combined with neuromodulation techniques can be employed to induce post-operative neuroplasticity and personalize neurorehabilitation. While the landscape of functional neuro-oncology is still evolving and requires further study to encourage more widespread adoption, this functional approach can transform the practice of neuro-oncologic surgery and improve the care and outcomes of patients with intra-axial tumors.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:13

Enthalten in:

Cancers - 13(2021), 23 vom: 05. Dez.

Sprache:

Englisch

Beteiligte Personen:

Samuel, Nardin [VerfasserIn]
Vetkas, Artur [VerfasserIn]
Pancholi, Aditya [VerfasserIn]
Sarica, Can [VerfasserIn]
Loh, Aaron [VerfasserIn]
Germann, Jurgen [VerfasserIn]
Harmsen, Irene E [VerfasserIn]
Tasserie, Jordy [VerfasserIn]
Milano, Vanessa [VerfasserIn]
Yamamoto, Kazuaki [VerfasserIn]
Kalia, Suneil K [VerfasserIn]
Kongkham, Paul N [VerfasserIn]
Lozano, Andres M [VerfasserIn]

Links:

Volltext

Themen:

Connectivity
Functional neurosurgery
Glioma
Journal Article
Networks
Neuroplasticity
Review

Anmerkungen:

Date Revised 14.12.2021

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/cancers13236127

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM334217903