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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Late drug-resistance in mild MTLE: Can it be influenced by preexisting white matter alterations?
Angelo Labate1,2, Maria Eugenia Caligiuri2, Francesco Fortunato1
1Institute of Neurology, University Magna Graecia, Catanzaro, Italy.
Objective:
To identify early structural alterations preceding the development of drug-resistance in mild mesial temporal lobe epilepsy (mMTLE), a drug-responsive syndrome ideal for investigating epilepsy pathophysiology and potential prognostic markers of long-term clinical outcome, using magnetic resonance imaging (MRI) at baseline and after 12-year follow-up.
Methods:
Since 2002, a total of 55 participants with a baseline diagnosis of mMTLE underwent three-dimensional (3D) T1 1.5T MRI. Based on long-term outcome (follow-up 12 ± 3 years), we identified 39 patients with stable mMTLE (smMTLE) and 16 patients who had developed drug-resistance overtime (refractory MTLE [rMTLE]). At follow-up, 21 smMTLE and 13 rMTLE patients underwent 3T-MRI including diffusion-weighted scans. Structural images were processed using longitudinal voxel-based morphometry and standard Freesurfer analysis. Statistical analyses were carried out accounting for age, age at onset, gender, hippocampal volume, and hippocampal sclerosis (Hs).
Results:
Patients presented similar demographic, clinical, and Hs features. White matter volume of the arcuate fasciculi, corticospinal tracts, left retrosplenial cingulum, and left inferior longitudinal fasciculus was reduced only in rMTLE patients before the development of drug-resistance. At follow-up, rMTLE showed decreased fractional anisotropy in the corpus callosum, superior longitudinal fasciculi, and major bundles of the right hemisphere.
Significance:
White matter temporal and extratemporal abnormalities are preexisting in patients with mild MTLE who will develop drug-resistance, independently from the presence of Hs. Thus, these changes might be due to an inherited genetic alteration rather than a subordinate worsening after repeated seizures, multiple antiepileptic drugs, or initial precipitating factors.
Insights
Early white matter abnormalities in mild mesial temporal lobe epilepsy (mMTLE) predict future drug-resistance. These pre-existing changes may stem from genetic factors, not seizure activity or treatments.
Area of Science:
- Neurology
- Neuroimaging
- Epilepsy Pathophysiology
Background:
- Mild mesial temporal lobe epilepsy (mMTLE) is a drug-responsive epilepsy ideal for studying early disease markers.
- Identifying predictors of drug-resistance is crucial for long-term patient outcomes.
Purpose of the Study:
- To detect early structural brain changes associated with the future development of drug-resistance in mMTLE.
- To investigate potential prognostic markers for epilepsy treatment response.
Main Methods:
- Longitudinal MRI (1.5T and 3T) including diffusion-weighted imaging was used in 55 mMTLE patients over 12 years.
- Voxel-based morphometry and Freesurfer analysis assessed white matter volume and integrity.
- Statistical analyses controlled for clinical and demographic factors, including hippocampal sclerosis.
Main Results:
- Patients who later developed drug-resistance (refractory MTLE [rMTLE]) showed pre-existing white matter reductions in specific tracts (arcuate fasciculi, corticospinal tracts, cingulum, inferior longitudinal fasciculus).
- At follow-up, rMTLE patients exhibited decreased fractional anisotropy in the corpus callosum and superior longitudinal fasciculi.
- These white matter abnormalities were present before the onset of drug-resistance and independent of hippocampal sclerosis.
Conclusions:
- Pre-existing white matter abnormalities in temporal and extratemporal regions are associated with the future development of drug-resistance in mMTLE.
- These findings suggest a potential genetic predisposition rather than secondary damage from seizures or treatments.
- Early neuroimaging markers could aid in predicting epilepsy treatment outcomes.
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