Language lateralization in temporal lobe epilepsy using functional MRI and probabilistic tractography

Epilepsia ◽  
2008 ◽  
Vol 49 (8) ◽  
pp. 1367-1376 ◽  
Author(s):  
Sebastian Rodrigo ◽  
Catherine Oppenheim ◽  
Francine Chassoux ◽  
Jérôme Hodel ◽  
Aimée de Vanssay ◽  
...  
2006 ◽  
Vol 20 (5) ◽  
pp. 589-597 ◽  
Author(s):  
Mei-chun Cheung ◽  
Agnes S. Chan ◽  
Yu-leung Chan ◽  
Joseph M. K. Lam

Neurology ◽  
1998 ◽  
Vol 50 (4) ◽  
pp. 926-932 ◽  
Author(s):  
J. A. Detre ◽  
L. Maccotta ◽  
D. King ◽  
D. C. Alsop ◽  
G. Glosser ◽  
...  

2016 ◽  
Vol 124 (4) ◽  
pp. 929-937 ◽  
Author(s):  
Karol Osipowicz ◽  
Michael R. Sperling ◽  
Ashwini D. Sharan ◽  
Joseph I. Tracy

OBJECT Predicting cognitive function following resective surgery remains an important clinical goal. Each MRI neuroimaging technique can potentially provide unique and distinct insight into changes that occur in the structural or functional organization of “at-risk” cognitive functions. The authors tested for the singular and combined power of 3 imaging techniques (functional MRI [fMRI], resting state fMRI, diffusion tensor imaging) to predict cognitive outcome following left (dominant) anterior temporal lobectomy for intractable epilepsy. METHODS The authors calculated the degree of deviation from normal, determined the rate of change in this measure across the pre- and postsurgical imaging sessions, and then compared these measures for their ability to predict verbal fluency changes following surgery. RESULTS The data show that the 3 neuroimaging techniques, in a combined model, can reliably predict cognitive outcome following anterior temporal lobectomy for medically intractable temporal lobe epilepsy. CONCLUSIONS These findings suggest that these 3 imaging modalities can be used effectively, in an additive fashion, to predict functional reorganization and cognitive outcome following anterior temporal lobectomy.


Author(s):  
B Santyr ◽  
JC Lau ◽  
SM Mirsattari ◽  
JG Burneo ◽  
S de Ribaupierre ◽  
...  

Background: Morphometry and connectivity studies targeting the thalamus have revealed specific patterns of atrophy and deafferentiation in patients with temporal lobe epilepsy (TLE). We used probabilistic tractography to investigate thalamic connectivity with respect to duration of epilepsy and surgical outcomes in TLE. Methods: Patients (N=20) with drug-resistant TLE (10 short duration (<15 years), 10 long duration (>15 years)) were scanned with multi-parametric 3T MRI and compared with 34 healthy controls. The Harvard-Oxford atlas was modified to create 14 target regions in the temporal lobes. Probabilistic tractography (FSL) was used to delineate thalamic sub-regions most connected to each target. The volume, mean T1, T2, FA and MD of each thalamic sub-region was quantified. Surgical success was quantified using Engel outcome scores. Results: Significant decreases in thalamic connected volumes to the hippocampus in patients with longer duration of TLE were revealed. Likewise, when stratified based on surgical success, significant differences in diffusion metrics to the hippocampus, parahippocampal gyrus, and temporal neocortex were found. Significant differences did not withstand false discovery rate (FDR) correction. Conclusions: These findings suggest ongoing connectivity changes dependent on epilepsy duration and promote further investigation into the use of thalamic connectivity data as biomarkers for predicting surgical outcomes in TLE patients.


2002 ◽  
Vol 44 (8) ◽  
pp. 667-673 ◽  
Author(s):  
K. Deblaere ◽  
W. Backes ◽  
P. Hofman ◽  
P. Vandemaele ◽  
P. Boon ◽  
...  

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