Literature DB >> 1736176

A noninvasive protocol for anterior temporal lobectomy.

M R Sperling1, M J O'Connor, A J Saykin, C A Phillips, M J Morrell, P A Bridgman, J A French, N Gonatas.   

Abstract

We report the results of a protocol for choosing candidates for temporal lobectomy using a standard battery of objective tests without intracranial electrodes. We assigned each test a level of importance, and an algorithm was used to determine whether temporal lobectomy could be performed. Fifty-one patients (total pool, 103 patients) met protocol requirements and had an anterior temporal lobectomy with a mean follow-up of 39.4 months (range, 21 to 64 months), most remaining on anticonvulsant therapy. Eighty percent are seizure free, 12% have less than 3 seizures per year or only nocturnal seizures, and 8% have greater than 80% reduction in seizure frequency. One-third of patients who failed protocol criteria did not have temporal lobe seizures when studied with intracranial electrodes. We analyzed and modified the algorithm after comparing these patients with others who were poor candidates for temporal lobectomy. We conclude that this protocol is effective and recommend using such an objective algorithm.

Entities:  

Mesh:

Year:  1992        PMID: 1736176     DOI: 10.1212/wnl.42.2.416

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  25 in total

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4.  Resting-state functional connectivity predicts the strength of hemispheric lateralization for language processing in temporal lobe epilepsy and normals.

Authors:  Gaëlle E Doucet; Dorian Pustina; Christopher Skidmore; Ashwini Sharan; Michael R Sperling; Joseph I Tracy
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5.  The functional anatomy of non-verbal (pitch memory) function in left and right anterior temporal lobectomy patients.

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6.  The Temporal Instability of Resting State Network Connectivity in Intractable Epilepsy.

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10.  An investigation of implicit memory through left temporal lobectomy for epilepsy.

Authors:  Joseph I Tracy; Karol Osipowicz; Samuel Godofsky; Atif Shah; Waseem Khan; Ashwini Sharan; Michael R Sperling
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