OBJECTIVE Resting-state functional MRI (rs-fMRI) represents a promising and cost-effective alternative to task-based fMRI for presurgical mapping. However, the lack of clinically streamlined and reliable rs-fMRI analysis tools has prevented wide adoption of this technique. In this work, the authors introduce an rs-fMRI processing pipeline (ReStNeuMap) for automatic single-patient rs-fMRI network analysis. METHODS The authors provide a description of the rs-fMRI network analysis steps implemented in ReStNeuMap and report their initial experience with this tool after performing presurgical mapping in 6 patients. They verified the spatial agreement between rs-fMRI networks derived by ReStNeuMap and localization of activation with intraoperative direct electrical stimulation (DES). RESULTS The authors automatically extracted rs-fMRI networks including eloquent cortex in spatial proximity with the resected lesion in all patients. The distance between DES points and corresponding rs-fMRI networks was less than 1 cm in 78% of cases for motor, 100% of cases for visual, 87.5% of cases for language, and 100% of cases for speech articulation mapping. CONCLUSIONS The authors' initial experience with ReStNeuMap showed good spatial agreement between presurgical rs-fMRI predictions and DES findings during awake surgery. The availability of the rs-fMRI analysis tools for clinicians aiming to perform noninvasive mapping of brain functional networks may extend its application beyond surgical practice.

ReStNeuMap: a tool for automatic extraction of resting-state functional MRI networks in neurosurgical practice / Zacà, Domenico; Jovicich, Jorge; Corsini, Francesco; Rozzanigo, Umberto; Chioffi, Franco; Sarubbo, Silvio. - In: JOURNAL OF NEUROSURGERY. - ISSN 0022-3085. - 2018:3(2018), pp. 764-771. [10.3171/2018.4.JNS18474]

ReStNeuMap: a tool for automatic extraction of resting-state functional MRI networks in neurosurgical practice

Zacà, Domenico;Jovicich, Jorge;Sarubbo, Silvio
2018-01-01

Abstract

OBJECTIVE Resting-state functional MRI (rs-fMRI) represents a promising and cost-effective alternative to task-based fMRI for presurgical mapping. However, the lack of clinically streamlined and reliable rs-fMRI analysis tools has prevented wide adoption of this technique. In this work, the authors introduce an rs-fMRI processing pipeline (ReStNeuMap) for automatic single-patient rs-fMRI network analysis. METHODS The authors provide a description of the rs-fMRI network analysis steps implemented in ReStNeuMap and report their initial experience with this tool after performing presurgical mapping in 6 patients. They verified the spatial agreement between rs-fMRI networks derived by ReStNeuMap and localization of activation with intraoperative direct electrical stimulation (DES). RESULTS The authors automatically extracted rs-fMRI networks including eloquent cortex in spatial proximity with the resected lesion in all patients. The distance between DES points and corresponding rs-fMRI networks was less than 1 cm in 78% of cases for motor, 100% of cases for visual, 87.5% of cases for language, and 100% of cases for speech articulation mapping. CONCLUSIONS The authors' initial experience with ReStNeuMap showed good spatial agreement between presurgical rs-fMRI predictions and DES findings during awake surgery. The availability of the rs-fMRI analysis tools for clinicians aiming to perform noninvasive mapping of brain functional networks may extend its application beyond surgical practice.
2018
3
Zacà, Domenico; Jovicich, Jorge; Corsini, Francesco; Rozzanigo, Umberto; Chioffi, Franco; Sarubbo, Silvio
ReStNeuMap: a tool for automatic extraction of resting-state functional MRI networks in neurosurgical practice / Zacà, Domenico; Jovicich, Jorge; Corsini, Francesco; Rozzanigo, Umberto; Chioffi, Franco; Sarubbo, Silvio. - In: JOURNAL OF NEUROSURGERY. - ISSN 0022-3085. - 2018:3(2018), pp. 764-771. [10.3171/2018.4.JNS18474]
File in questo prodotto:
File Dimensione Formato  
Zaca et al., Journal of Neurosurgery 2018, ReStNeuMap_ a tool for automatic extraction of resting-state functional MRI networks in neurosurgical practice.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 4.12 MB
Formato Adobe PDF
4.12 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/221585
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 28
  • ???jsp.display-item.citation.isi??? 26
social impact