Direct brainstem somatosensory evoked potentials for cavernous malformations.

direct brainstem somatosensory evoked potentials functional brainstem mapping neuromonitoring surgical technique vascular disorders

Journal

Journal of neurosurgery
ISSN: 1933-0693
Titre abrégé: J Neurosurg
Pays: United States
ID NLM: 0253357

Informations de publication

Date de publication:
05 Nov 2021
Historique:
received: 03 02 2021
accepted: 08 07 2021
entrez: 5 11 2021
pubmed: 6 11 2021
medline: 6 11 2021
Statut: aheadofprint

Résumé

Brainstem cavernous malformations (CMs) often require resection due to their aggressive natural history causing hemorrhage and progressive neurological deficits. The authors report a novel intraoperative neuromonitoring technique of direct brainstem somatosensory evoked potentials (SSEPs) for functional mapping intended to help guide surgery and subsequently prevent and minimize postoperative sensory deficits. Between 2013 and 2019 at the Stanford University Hospital, intraoperative direct brainstem stimulation of primary somatosensory pathways was attempted in 11 patients with CMs. Stimulation identified nucleus fasciculus, nucleus cuneatus, medial lemniscus, or safe corridors for incisions. SSEPs were recorded from standard scalp subdermal electrodes. Stimulation intensities required to evoke potentials ranged from 0.3 to 3.0 mA or V. There were a total of 1 midbrain, 6 pontine, and 4 medullary CMs-all with surrounding hemorrhage. In 7/11 cases, brainstem SSEPs were recorded and reproducible. In cases 1 and 11, peripheral median nerve and posterior tibial nerve stimulations did not produce reliable SSEPs but direct brainstem stimulation did. In 4/11 cases, stimulation around the areas of hemosiderin did not evoke reliable SSEPs. The direct brainstem SSEP technique allowed the surgeon to find safe corridors to incise the brainstem and resect the lesions. Direct stimulation of brainstem sensory structures with successful recording of scalp SSEPs is feasible at low stimulation intensities. This innovative technique can help the neurosurgeon clarify distorted anatomy, identify safer incision sites from which to evacuate clots and CMs, and may help reduce postoperative neurological deficits. The technique needs further refinement, but could potentially be useful to map other brainstem lesions.

Identifiants

pubmed: 34740189
doi: 10.3171/2021.7.JNS21317
pii: 2021.7.JNS21317
pmc: PMC10193471
doi:
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-7

Références

Childs Nerv Syst. 2002 Jul;18(6-7):264-87
pubmed: 12172930
Phys Med Rehabil Clin N Am. 2004 Feb;15(1):63-84
pubmed: 15029899
Neurol Clin. 2010 Nov;28(4):887-98
pubmed: 20816268
Anesthesiol Clin. 2012 Jun;30(2):311-31
pubmed: 22901612
Neurosurgery. 2013 Apr;72(4):573-89; discussion 588-9
pubmed: 23262564
Neurosurgery. 2006 Apr;58(4 Suppl 2):ONS-189-201; discussion ONS-201
pubmed: 16582640
Electroencephalogr Clin Neurophysiol. 1984 Mar;57(3):221-7
pubmed: 6199183
Neurosurgery. 1995 Aug;37(2):255-65
pubmed: 7477777
J Clin Neurophysiol. 2013 Dec;30(6):604-12
pubmed: 24300985
J Clin Neurosci. 2016 Oct;32:164-5
pubmed: 27320373
J Clin Neurol. 2016 Jul;12(3):262-73
pubmed: 27449909
Electroencephalogr Clin Neurophysiol. 1993 Mar-Apr;88(2):92-104
pubmed: 7681759
Neurosurgery. 2000 Feb;46(2):260-70; discussion 270-1
pubmed: 10690715
Muscle Nerve. 1999 Nov;22(11):1538-43
pubmed: 10514231
J Clin Neurophysiol. 2013 Dec;30(6):597-603
pubmed: 24300984

Auteurs

Scheherazade Le (S)

1Department of Neurology, Division of Neurophysiology & Intraoperative Neuromonitoring (IONM), Stanford University School of Medicine; and.

Viet Nguyen (V)

1Department of Neurology, Division of Neurophysiology & Intraoperative Neuromonitoring (IONM), Stanford University School of Medicine; and.

Leslie Lee (L)

1Department of Neurology, Division of Neurophysiology & Intraoperative Neuromonitoring (IONM), Stanford University School of Medicine; and.

S Charles Cho (SC)

1Department of Neurology, Division of Neurophysiology & Intraoperative Neuromonitoring (IONM), Stanford University School of Medicine; and.

Carmen Malvestio (C)

1Department of Neurology, Division of Neurophysiology & Intraoperative Neuromonitoring (IONM), Stanford University School of Medicine; and.

Eric Jones (E)

1Department of Neurology, Division of Neurophysiology & Intraoperative Neuromonitoring (IONM), Stanford University School of Medicine; and.

Robert Dodd (R)

2Department of Neurosurgery, Stanford University School of Medicine, Stanford, California.

Gary Steinberg (G)

2Department of Neurosurgery, Stanford University School of Medicine, Stanford, California.

Jaime López (J)

1Department of Neurology, Division of Neurophysiology & Intraoperative Neuromonitoring (IONM), Stanford University School of Medicine; and.

Classifications MeSH