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A Connectomic Atlas of the Human Cerebrum-Chapter 18: The Connectional Anatomy of Human Brain Networks.
Briggs, Robert G; Conner, Andrew K; Baker, Cordell M; Burks, Joshua D; Glenn, Chad A; Sali, Goksel; Battiste, James D; O'Donoghue, Daniel L; Sughrue, Michael E.
Afiliación
  • Briggs RG; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
  • Conner AK; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
  • Baker CM; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
  • Burks JD; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
  • Glenn CA; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
  • Sali G; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
  • Battiste JD; Department of Neurology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
  • O'Donoghue DL; Department of Cell Biology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
  • Sughrue ME; Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.
Oper Neurosurg (Hagerstown) ; 15(suppl_1): S470-S480, 2018 12 01.
Article en En | MEDLINE | ID: mdl-30260432
ABSTRACT

BACKGROUND:

It is widely understood that cortical functions are mediated by complex, interdependent brain networks. These networks have been identified and studied using novel technologies such as functional magnetic resonance imaging under both resting-state and task-based conditions. However, no one has attempted to describe these networks in terms of their cortical parcellations.

OBJECTIVE:

To describe our approach to network modeling and discuss its significance for the future of neuronavigation in brain surgery using the cortical parcellation scheme detailed within this supplement.

METHODS:

Using network models previously elucidated by our group using coordinate-based meta-analytic techniques, we show the anatomic position and underlying white matter tracts of the cortical regions comprising 8 functional networks of the human cerebrum. These network models are displayed using Synaptive's clinically available BrightMatter tractography software (Synaptive Medical, Toronto, Canada).

RESULTS:

The relevant cortical parcellations of 8 different cerebral networks have been identified. The fiber tracts between these regions were used to construct anatomically precise models of the networks. Models are described for the dorsal attention, ventral attention, semantic, auditory, supplementary motor, ventral premotor, default mode, and salience networks.

CONCLUSION:

Our goal is to move towards more precise, anatomically specific models of brain networks that can be constructed for individual patients and utilized in navigational platforms during brain surgery. We believe network modeling and future advances in navigation technology can provide a foundation for improving neurosurgical outcomes by allowing us to preserve complex brain networks.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Conectoma / Red Nerviosa Límite: Humans Idioma: En Revista: Oper Neurosurg (Hagerstown) Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Conectoma / Red Nerviosa Límite: Humans Idioma: En Revista: Oper Neurosurg (Hagerstown) Año: 2018 Tipo del documento: Article