Objective: Surgical resection of the mesial temporal structures brings seizure remission in 65% of individuals with drug-resistant mesial temporal lobe epilepsy (MTLE). Laser interstitial thermal therapy (LiTT) is a novel therapy that may provide a minimally invasive means of ablating the mesial temporal structures with similar outcomes, while minimizing damage to the neocortex. Systematic trajectory planning helps ensure safety and optimal seizure freedom through adequate ablation of the amygdalohippocampal complex (AHC). Previous studies have highlighted the relationship between the residual unablated mesial hippocampal head and failure to achieve seizure freedom. We aim to implement computer-assisted planning (CAP) to improve the ablation volume and safety of LiTT trajectories.
Methods: Twenty-five patients who had previously undergone LiTT for MTLE were studied retrospectively. The EpiNav platform was used to automatically generate an optimal ablation trajectory, which was compared with the previous manually planned and implemented trajectory. Expected ablation volumes and safety profiles of each trajectory were modeled. The implemented laser trajectory and achieved ablation of mesial temporal lobe structures were quantified and correlated with seizure outcome.
Results: CAP automatically generated feasible trajectories with reduced overall risk metrics (P < .001) and intracerebral length (P = .007). There was a significant correlation between the actual and retrospective CAP-anticipated ablation volumes, supporting a 15 mm diameter ablation zone model (P < .001). CAP trajectories would have provided significantly greater ablation of the amygdala (P = .0004) and AHC (P = .008), resulting in less residual unablated mesial hippocampal head (P = .001), and reduced ablation of the parahippocampal gyrus (P = .02).
Significance: Compared to manually planned trajectories CAP provides a better safety profile, with potentially improved seizure-free outcome and reduced neuropsychological deficits, following LiTT for MTLE.
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http://dx.doi.org/10.1111/epi.14034 | DOI Listing |
Neurophysiol Clin
January 2025
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China. Electronic address:
Objectives: In the present study with a large cohort, we aimed to characterize intracerebral seizure onset patterns (SOP) of mesial temporal lobe epilepsy (mTLE), with or without hippocampal sclerosis (HS) as identified via magnetic resonance imaging (MRI).
Methods: We retrospectively analyzed 255 seizures of 76 consecutive patients with mTLE explored by stereoelectroencephalography (SEEG), including HS-mTLE (n = 52) and non-HS- mTLE (n = 24). Relevant results were obtained by a combination of spectral analysis and manual review.
Alzheimers Dement
December 2024
Brigham and Women's Hospital, Boston, MA, USA.
Background: Alzheimer's disease (AD) is highly comorbid with Limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC), and the combined AD+LATE-NC is more common than either pathology alone. However, the topographic relationship between tau and TDP-43 in AD+LATE-NC remains unclear.
Method: We analyzed the data from the Religious Orders Study (ROS) and the Rush Memory and Aging Project (MAP) participants.
Alzheimers Dement
December 2024
University of Nevada Las Vegas, Las Vegas, NV, USA.
Background: Many patients present to our clinic with primarily executive rather than amnestic impairments. Recently, Townley and colleagues proposed criteria for a progressive dysexecutive syndrome (PDS). To date, PDS has been reported to be more common in younger individuals (55-65 years old) and is associated with Alzheimer's biomarkers (AD).
View Article and Find Full Text PDFFront Mol Neurosci
December 2024
UMIB-Unit for Multidisciplinary Research in Biomedicine, ICBAS- Instituto de Ciências Biomédicas Abel Salazar da Universidade do Porto, Porto, Portugal.
Front Neurol
December 2024
Department of Diagnostic Radiology, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China.
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