scholarly journals Differential sensitivity of structural, diffusion, and resting‐state functional MRI for detecting brain alterations and verbal memory impairment in temporal lobe epilepsy

Epilepsia ◽  
2019 ◽  
Vol 60 (5) ◽  
pp. 935-947
Author(s):  
Yu‐Hsuan A. Chang ◽  
Anisa Marshall ◽  
Naeim Bahrami ◽  
Kushagra Mathur ◽  
Sogol S. Javadi ◽  
...  
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.


Epilepsia ◽  
2008 ◽  
Vol 49 (8) ◽  
pp. 1377-1394 ◽  
Author(s):  
Jeffrey R. Binder ◽  
David S. Sabsevitz ◽  
Sara J. Swanson ◽  
Thomas A. Hammeke ◽  
Manoj Raghavan ◽  
...  

Neurology ◽  
2020 ◽  
Vol 94 (23) ◽  
pp. e2424-e2435 ◽  
Author(s):  
Akshara R. Balachandra ◽  
Erik Kaestner ◽  
Naeim Bahrami ◽  
Anny Reyes ◽  
Sanam Lalani ◽  
...  

ObjectiveTo determine the predictive power of white matter neuronal networks (i.e., structural connectomes [SCs]) in discriminating memory-impaired patients with temporal lobe epilepsy (TLE) from those with normal memory.MethodsT1- and diffusion MRI (dMRI), clinical variables, and neuropsychological measures of verbal memory were available for 81 patients with TLE. Prediction of memory impairment was performed with a tree-based classifier (XGBoost) for 4 models: (1) a clinical model including demographic and clinical features, (2) a hippocampal volume (HCV) model, (3) a tract model including 5 temporal lobe white matter association tracts derived from a dMRI atlas, and (4) an SC model based on dMRI. SCs were derived by extracting cortical-cortical connections from a temporal lobe subnetwork with probabilistic tractography. Principal component (PC) analysis was then applied to reduce the dimensionality of the SC, yielding 10 PCs. Multimodal models were also tested combining SCs and tracts with HCV. Each model was trained on 48 patients from 1 epilepsy center and tested on 33 patients from a different center.ResultsMultimodal models that included the SC + HCV model yielded the highest classification accuracy (81%; 0.90 sensitivity; 0.67 specificity), outperforming the clinical model (61%; p < 0.001) and HCV model (66%; p < 0.001). In addition, the unimodal SC model (76% accuracy) and tract model (73% accuracy) outperformed the clinical model (p < 0.001) and HCV model (p < 0.001) for classifying patients with TLE with and without memory impairment. Furthermore, the SC identified that short-range temporal-temporal connections were important contributors to memory performance.ConclusionSCs and tract-based models are stronger predictors of memory impairment in TLE than HCVs and clinical variables. However, SCs may provide additional information about local cortical-cortical connectivity contributing to memory that is not captured in large association tracts.


2017 ◽  
Author(s):  
Tamires Araujo Zanão ◽  
Tátila Martins Lopes ◽  
Brunno Machado de Campos ◽  
Mateus Henrique Nogueira ◽  
Clarissa Lin Yasuda ◽  
...  

ABSTRACTObjectiveto investigate abnormal functional connectivity in the resting-state default mode network (DMN) and its relation to memory impairments in patients with temporal lobe epilepsy with and without hippocampal sclerosis (HS)Methodwe enrolled 122 MTLE patients divided into right-HS (n=42), left-HS (n=49), MRI-negative MTLE (n=31) and controls (n=69). All underwent resting-state seed-based connectivity fMRI, with a seed placed at the posterior cingulate cortex, an essential node for the DMN. In addition, patients and 41 controls were tested for verbal and visual memory, estimated intelligence coefficient and delayed recall.ResultsBoth right-HS and MRI-negative group presented the poorest visual memory scores, and right-HS and left-HS had a worse performance in verbal memory compared to controls and MRI-negative groups. As expected, hippocampus was less connected than controls in all groups of patients. Although EEGs indicated that 64.5% of MRI-negative patients were lateralized to the left, this group showed activations similar to the right-HS.ConclusionOur data suggest that there is a disruption of the normal pattern of DMN in MTLE. Patients with left and right-HS presented similar, increased and decreased connectivity in the ipsilateral hemisphere; however, left-HS had abnormal decreased connectivity in the contralateral hemisphere. Per neuropsychological examination, the presence of HS in the left hemisphere had more impact on verbal memory, which was not found when the seizure focus is in the left hemisphere in the absence of HS. The absence of hippocampal atrophy seems to yield a less prominent disruption in both functional connectivity and neuropsychological performance.


Radiology ◽  
2020 ◽  
Vol 294 (3) ◽  
pp. 622-627 ◽  
Author(s):  
Matthew N. DeSalvo ◽  
Naoaki Tanaka ◽  
Linda Douw ◽  
Andrew J. Cole ◽  
Steven M. Stufflebeam

2011 ◽  
Vol 33 (2) ◽  
pp. 489-499 ◽  
Author(s):  
Susanne G. Mueller ◽  
Kenneth D. Laxer ◽  
Cathy Scanlon ◽  
Paul Garcia ◽  
William J. McMullen ◽  
...  

Epilepsia ◽  
2016 ◽  
Vol 57 (9) ◽  
pp. 1475-1484 ◽  
Author(s):  
Anny Reyes ◽  
Thomas Thesen ◽  
Xiuyuan Wang ◽  
Daniel Hahn ◽  
Daeil Yoo ◽  
...  

2006 ◽  
Vol 12 (1 suppl 1) ◽  
pp. 22-25
Author(s):  
Catarina A. Guimarães ◽  
Li Li Min ◽  
Patrícia Rzezak ◽  
Daniel Fuentes ◽  
Renata C. Franzon ◽  
...  

INTRODUCTION: The authors present a review article on memory aspects of temporal lobe epilepsy in childhood. METHODS: We performed a search in the literature. RESULTS: Temporal lobe epilepsy (TLE) in childhood present with great clinical, electroencephalographic and etiological diversity. The neuropsychological features in children with TLE are not well-defined yet. The relationship between the lateralization of the lesion and performance on memory tests is not established. CONCLUSION: The studies performed in children with TLE show controversy data. This finding may be due to the etiological, clinical and electroencephalographic diversity seen in such group of children. Besides, most studies use different assessments. Therefore, it is clear that more studies are necessary to elucidate which neuropsychological deficits occur in children with TLE.


2017 ◽  
Vol 128 (9) ◽  
pp. e302-e303
Author(s):  
Márta Virág ◽  
Róbert Bódizs ◽  
Ferenc Gombos ◽  
Anna Kelemen ◽  
Dániel Fabó

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