Publications by authors named "Eleanor J Fanto"

Objective: Reorganization of the language network from typically left-lateralized frontotemporal regions to bilaterally distributed or right-lateralized networks occurs in anywhere from 25%-30% of patients with focal epilepsy. In patients who have been recently diagnosed with epilepsy, an important question remains as to whether it is the presence of seizures or the underlying epilepsy etiology that leads to atypical language representations. This question becomes even more interesting in pediatric samples, where the typical developmental processes of the language network may confer more variability and plasticity in the language network.

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Background And Objectives: Task fMRI is a clinical tool for language lateralization, but has limitations, and cannot provide information about network-level plasticity. Additional methods are needed to improve the precision of presurgical language mapping. We investigate language resting-state functional connectivity (RS fMRI; FC) in typically developing children (TD) and children with epilepsy.

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Development of a task-free method for presurgical mapping of language function is important for use in young or cognitively impaired patients. Resting state connectivity fMRI (RS-fMRI) is a task-free method that may be used to identify cognitive networks. We developed a voxelwise RS-fMRI metric, Functional Connectivity Hemispheric Contrast (FC-HC), to map the language network and determine language laterality through comparison of within-hemispheric language network connections (Integration) to cross-hemispheric connections (Segregation).

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Article Synopsis
  • The study aimed to predict language deficits in adults after epilepsy surgery, focusing on how the amount of functional MRI (fMRI) activation removed during surgery affects naming ability.
  • Thirty-five adults with temporal lobe epilepsy underwent preoperative fMRI scans and were assessed with the Boston Naming Test before and after surgery to measure changes in language function.
  • Results indicated that the extent of fMRI activation resected significantly influenced naming ability, with 38% of changes in scores predicted by various factors including the amount of resected activation and language dominance.
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