Experience and consensus on stimulation of the anterior nucleus of thalamus for epilepsy

Epilepsia ◽  
2021 ◽  
Author(s):  
Alfonso Fasano ◽  
Dawn Eliashiv ◽  
Susan T. Herman ◽  
Brian N. Lundstrom ◽  
Dara Polnerow ◽  
...  
2018 ◽  
Vol 45 (2) ◽  
pp. E5 ◽  
Author(s):  
James J. Zhou ◽  
Tsinsue Chen ◽  
S. Harrison Farber ◽  
Andrew G. Shetter ◽  
Francisco A. Ponce

OBJECTIVEThe field of deep brain stimulation (DBS) for epilepsy has grown tremendously since its inception in the 1970s and 1980s. The goal of this review is to identify and evaluate all studies published on the topic of open-loop DBS for epilepsy over the past decade (2008 to present).METHODSA PubMed search was conducted to identify all articles reporting clinical outcomes of open-loop DBS for the treatment of epilepsy published since January 1, 2008. The following composite search terms were used: (“epilepsy” [MeSH] OR “seizures” [MeSH] OR “kindling, neurologic” [MeSH] OR epilep* OR seizure* OR convuls*) AND (“deep brain stimulation” [MeSH] OR “deep brain stimulation” OR “DBS”) OR (“electric stimulation therapy” [MeSH] OR “electric stimulation therapy” OR “implantable neurostimulators” [MeSH]).RESULTSThe authors identified 41 studies that met the criteria for inclusion. The anterior nucleus of the thalamus, centromedian nucleus of the thalamus, and hippocampus were the most frequently evaluated targets. Among the 41 articles, 19 reported on stimulation of the anterior nucleus of the thalamus, 6 evaluated stimulation of the centromedian nucleus of the thalamus, and 9 evaluated stimulation of the hippocampus. The remaining 7 articles reported on the evaluation of alternative DBS targets, including the posterior hypothalamus, subthalamic nucleus, ventral intermediate nucleus of the thalamus, nucleus accumbens, caudal zone incerta, mammillothalamic tract, and fornix. The authors evaluated each study for overall epilepsy response rates as well as adverse events and other significant, nonepilepsy outcomes.CONCLUSIONSLevel I evidence supports the safety and efficacy of stimulating the anterior nucleus of the thalamus and the hippocampus for the treatment of medically refractory epilepsy. Level III and IV evidence supports stimulation of other targets for epilepsy. Ongoing research into the efficacy, adverse effects, and mechanisms of open-loop DBS continues to expand the knowledge supporting the use of these treatment modalities in patients with refractory epilepsy.


2018 ◽  
Vol 42 (2) ◽  
pp. 287-296 ◽  
Author(s):  
Tim A. M. Bouwens van der Vlis ◽  
Olaf E. M. G. Schijns ◽  
Frédéric L. W. V. J. Schaper ◽  
Govert Hoogland ◽  
Pieter Kubben ◽  
...  

PLoS ONE ◽  
2016 ◽  
Vol 11 (8) ◽  
pp. e0160750 ◽  
Author(s):  
Mohammad Maarouf ◽  
Clemens Neudorfer ◽  
Faycal El Majdoub ◽  
Doris Lenartz ◽  
Jens Kuhn ◽  
...  

Epilepsia ◽  
2007 ◽  
Vol 48 (2) ◽  
pp. 342-347 ◽  
Author(s):  
Siew-Na Lim ◽  
Shih-Tseng Lee ◽  
Yu-Tai Tsai ◽  
I-An Chen ◽  
Po-Hsun Tu ◽  
...  

2002 ◽  
Vol 75 (4) ◽  
pp. 1625-1633 ◽  
Author(s):  
Barbara J. Bowers ◽  
Miranda B. Henry ◽  
Richard J. Thielen ◽  
William J. McBride

2012 ◽  
Vol 32 (3) ◽  
pp. E14 ◽  
Author(s):  
John D. Rolston ◽  
Dario J. Englot ◽  
Doris D. Wang ◽  
Tina Shih ◽  
Edward F. Chang

Epilepsy is a devastating disease, often refractory to medication and not amenable to resective surgery. For patients whose seizures continue despite the best medical and surgical therapy, 3 stimulation-based therapies have demonstrated positive results in prospective randomized trials: vagus nerve stimulation, deep brain stimulation of the thalamic anterior nucleus, and responsive neurostimulation. All 3 neuromodulatory therapies offer significant reductions in seizure frequency for patients with partial epilepsy. A direct comparison of trial results, however, reveals important differences among outcomes and surgical risk between devices. The authors review published results from these pivotal trials and highlight important differences between the trials and devices and their application in clinical use.


2019 ◽  
Vol 153 ◽  
pp. 1-6 ◽  
Author(s):  
Yu-Chi Wang ◽  
Sanjeet S. Grewal ◽  
Erik H. Middlebrooks ◽  
Gregory A. Worrell ◽  
Matt Stead ◽  
...  

Author(s):  
Manuel L. Herrera ◽  
Ana Suller-Marti ◽  
Andrew Parrent ◽  
Keith MacDougall ◽  
Jorge G. Burneo

2019 ◽  
Author(s):  
Emilia Toth ◽  
Ganne Chaitanya ◽  
Diana Pizarro ◽  
Sachin S Kumar ◽  
Adeel Ilyas ◽  
...  

AbstractThe thalamic nuclei play diverse roles in the initiation, propagation, and termination of temporal lobe seizures. The role of the anterior nucleus of the thalamus (ANT) - a node that is integral to the limbic network is unclear. The objective of this study was to characterize temporal and - spectral patterns of ANT ictal recruitment in drug-resistant temporal lobe epilepsy (TLE). We hypothesized that seizures localized to the temporolimbic network are likely to recruit ANT, and the odds of recruitment were higher in seizures that had altered consciousness. Ten patients undergoing stereo-electroencephalography (SEEG) were recruited prospectively to record field potentials from the ANT. Using epileptogenicity index and line length, we computed the number of seizures that recruited the ANT (recruitment ratio), the recruitment latencies between the ANT and the epileptogenic zone (EZ), and latency of ANT recruitment to clinical manifestation for seventy-nine seizures. We observed that seizures localized to mesial temporal subregions (hippocampus, amygdala, anterior cingulate) have a higher predilection for ANT recruitment, and the recruitment was faster (ranged 5-12 secs) and preceded clinical onset for seizures that impaired consciousness. Seizures that recruited ANT lasted significantly longer (t=1.795, p=0.005). Recruitment latency was inversely correlated to seizure duration (r=-0.78, p=0.004). Electrical stimulation of the EZ induced seizures, in which early recruitment of ANT was confirmed. Stimulation of ANT did not induce a seizure. Finally, we tested the hypothesis that spectral and entropy-based features extracted from thalamic field potentials can distinguish its state of ictal recruitment from other interictal states (including awake, sleep). For this, we employed classification machine learning that discriminated thalamic ictal state from other interictal states with high accuracy (92.8%) and precision (93.1%). Among the features, the emergence of the theta rhythm (4-8 Hz) maximally discriminated the endogenous ictal state from other interictal states of vigilance. These results prompt a mechanistic role for the ANT in the early organization and sustaining of seizures, and the possibility to serve as a target for therapeutic closed-loop stimulation in TLE.


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