Xavier Vasques

Factors Predicting Improvement in Primary Generalized Dystonia Treated by Pallidal Deep Brain Stimulation

Despite the beneficial effects of Globus Pallidus internus (GPi) deep brain stimulation (DBS) in patients with primary generalized dystonia (PGD), the degree of improvement varies from one patient to another. The objective of this study was to examine the effects of clinical, anatomical (volume of the GPi), and electrical variables on the postoperative Burke‐Fahn‐Marsden Dystonia rating scale (BFMDRS) motor score to identify which factors may be predictive of the degree of improvement. We reviewed retrospectively the clinical records of 40 steady‐state patients with PGD who had been treated by bilateral GPi lead implantation. The follow‐up period was 2 to 8 years. The correlation between the electrical parameters (voltage, impedance, and current) and the clinical outcome was studied. An analysis of covariance was performed to identify factors predictive of the magnitude of improvement. The most influential factors according to the model are as follows: the preoperative BFMDRS score (P < 0.0001); age at surgery (P < 0.0001); the right GPi volume (P = 0.002); the left stimulated GPi volume (P = 0.005). No significant correlation was found between the electrical parameters used and the mean motor scores in steady state.

Magnetic resonance-based deep brain stimulation technique: a series of 478 consecutive implanted electrodes with no perioperative intracerebral hemorrhage.

OBJECTIVE The aim of this study was to determine the safety of a deep brain stimulation technique consisting of a combination of routine general anesthesia, magnetic resonance imaging direct targeting, and a single penetration technique in a large population of patients undergoing operation for movement disorders. METHODS One hundred ninety-four patients treated with deep brain stimulation between 1996 and 2007 were assessed via a computerized database for intra- and perioperative events. Most patients were young; only 62 of them were older than 40 years (mean age, 31.1 years). General anesthesia was induced in all cases before placement of a magnetic resonance imaging-compatible stereotactic frame. Electrode implantation was done under radioscopic control via a rigid immobile cannula using a single cerebral perforation. No perioperative microelectrode recording or neurostimulation testing was used. Systematic postoperative magnetic resonance imaging was performed before frame removal. RESULTS A total of 478 electrodes were implanted in 220 procedures: 426 for dystonic-dyskinetic syndromes and 52 for Parkinson disease. The mean number of parenchymal penetrations per patient was 2.5 for the dystonic-dyskinetic syndrome group and 2.08 for the Parkinson disease group. Postimplantation magnetic resonance imaging detected no perioperative intraparenchymal hemorrhages. CONCLUSION We consider that the risk of hemorrhagic complication is multifactorial but closely related to the chosen technique.

Stereotactic model of the electrical distribution within the internal globus pallidus during deep brain stimulation

Deep brain stimulation (DBS) of the internal globus pallidus (GPi) is an established surgical technique for the treatment of movement disorders. The objective of this study was to propose a computational stereotactic model of the electrical distribution around the electrode within the targeted GPi in order to optimize parameter adjustment in clinical practice. The outline of the GPi can be defined precisely by using stereotactic magnetic resonance imaging (MRI) and from this it is possible to model its three-dimensional structure. The electrode and the distribution of the patient-specific parameters can then be co-registered with the GPi volume. By using this methodology, it is possible to visualize and measure the relationship between the electrical distribution of patient-specific parameters and the morphology of the GPi. The model could be applied in clinical practice to help determine the threshold for achieving a therapeutic effect and consequently may aid in optimizing parameter settings for individual patients.

Prognostic value of globus pallidus internus volume in primary dystonia treated by deep brain stimulation

OBJECT Given that improvement is variable from one patient to another, the authors analyzed the impact of globus pallidus internus (GPi) volume on the result of deep brain stimulation (DBS) by comparing highly and less improved patients with primary dystonodyskinetic syndromes. METHODS A stereotactic model was developed to visualize and quantify the relationship between the isofield lines generated by the DBS lead and GPi target. The model was used in 30 right-handed selected patients with primary dystonodyskinetic syndromes who had been treated using bilateral stimulation of the sensorimotor GPi. Ten healthy control individuals were also included in the study. First, the authors compared the GPi volumes between patients and healthy controls. Second, the stimulated GPi volumes, that is, the intersection between the volume of each isofield value and the GPi volumes, were compared between less improved and highly improved patients. RESULTS Improvement in the Burke-Fahn-Marsden Dystonia Rating Scales motor score was rated > 90% in 20 patients (97 +/- 4.6%) and < 60% in 10 patients (56.9 +/- 6%). The mean volume of the right (461.8 +/- 81.8 mm(3)) and left (406.6 +/- 113.2 mm(3)) GPi in patients showing less response to DBS was significantly smaller than the GPi volume of patients who responded well (right 539.9 +/- 86.6 mm(3), left 510.6 +/- 88.7 mm(3)) and healthy controls (right 557.8 +/- 109.1 mm(3), left 525.1 +/- 40.8 mm(3)). CONCLUSIONS On the left side, the mean stimulated volumes (isofield line range 0.2-1 V/mm) were significantly larger in highly improved than in less improved patients. In this model, the threshold for functional effect was calculated at 0.2 V/mm.

Staged implantation of multiple electrodes in the internal globus pallidus in the treatment of primary generalized dystonia

OBJECT Deep brain stimulation (DBS) is used for treating various types of dystonia. Multiple electrodes could be proposed to improve the therapeutic outcome enabling the targeting of specific neuronal populations not reached by the electrical field generated by the initially implanted electrode. The authors address the question of the feasibility and safety of staged multiple lead implantations in the sensorimotor internal globus pallidus (GPi) in primary generalized dystonia (PGD). Criteria for patient selection, surgical technique, target selection, electrical settings management, and clinical outcome are presented. METHODS Sixteen patients (8 harbored the DYT1 gene mutation) presented with PGD and were enrolled in this study. Patients underwent clinical assessment using the Burke-Fahn-Marsden Dystonia Rating Scale preoperatively and during follow-up with DBS. Prior to the addition of electrodes, the authors confirmed, by turning off stimulation, that the patient was still benefiting from DBS and that DBS settings adjustment did not provide further improvement. The second target was defined according to the position of the first electrode, to the residual volume within the sensorimotor GPi, and according to residual symptoms. The second surgery followed the same protocol as the first and the new electrode were inserted using the same bur hole as the first electrode. RESULTS The addition of a new pair of electrodes was followed by significant improvement in the whole population (p = 0.005), as well as in the DYT1-negative subgroup (p = 0.012) but not in the DYT1 subgroup (p = not significant). Nevertheless, some patients did not exhibit significant additional benefit. Seven hardware-related complications occurred during the entire follow-up, 3 prior to it, and 4 after the addition of the second pair of electrodes. CONCLUSIONS The addition of a second pair of electrodes in the GPi in patients with PGD with suboptimal or decaying benefit following the first surgery seems to be a safe procedure and is not followed by an increase in surgery-related complications. This staged procedure may provide further clinical improvement in patients with PGD in whom DBS effect is initially incomplete or when disease progression occurs over time. The position of the additional electrode within the GPi is determined by the available volume within the posteroventral GPi and by the distribution of the dystonic symptoms that need to be controlled.

A target-specific electrode and lead design for internal globus pallidus deep brain stimulation.

In nearly all deep brain stimulation (DBS) applications, the same quadripolar electrode design is used for different anatomical targets even if shape and volume differences exist between nuclei. Taking into account the electrode location within the internal globus pallidus (GPi) and the size of the GPi, 2 electrodes were designed in order to improve the therapeutic benefit, to minimize side effects from DBS and to obtain a more homogeneous electric field distribution. The electrodes were evaluated numerically by using a stereotactic model measuring the correlation between the electric field and the GPi. The model was applied to 26 dystonodyskinetic patients who underwent surgery for a bilateral lead implantation into the posteroventral part of the GPi. The designed electrodes produced a more homogeneous distribution of the electric field than the quadripolar electrode.

Longterm deep brain stimulation withdrawal: Clinical stability despite electrophysiological instability

Deep brain stimulation (DBS) is a powerful treatment option for movement disorders, including severe generalised dystonia. After several years of treatment, cases have been reported in which DBS has been stopped without any deterioration in clinical benefit. This might indicate that DBS can restore function in some cases. The mechanism of DBS induced clinical retention effects has been addressed before. Here, the question we asked was if such clinical stability is reflected at the underlying physiology level or whether there is indication to believe that a stand-still of symptoms might be at risk because of neurophysiological instability. We recorded patients with pre-intervention life-threatening or severe genetic dystonia with long lasting clinical benefit when turned off DBS. Despite clinical stability, our physiological studies revealed large changes in the excitability of excitatory and inhibitory motor circuits in the cortex, which exceed normal fluctuation. This discrepancy between instability in the motor network physiology caused by removal of DBS and clinical stability alerts as it potentially indicates a risk to fail and cause symptoms to return.

A 3D particle visualization system for temperature management

This paper deals with a 3D visualization technique proposed to analyze and manage energy efficiency from a data center. Data are extracted from sensors located in the IBM Green Data Center in Montpellier France. These sensors measure different information such as hygrometry, pressure and temperature. We want to visualize in real-time the large among of data produced by these sensors. A visualization engine has been designed, based on particles system and a client server paradigm. In order to solve performance problems, a Level Of Detail solution has been developed. These methods are based on the earlier work introduced by J. Clark in 1976. In this paper we introduce a particle method used for this work and subsequently we explain different simplification methods applied to improve our solution.

Automatic target validation based on neuroscientific literature mining for tractography

Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied. Manual literature review to identify targets for a given seed region is tedious and potentially subjective. Therefore, complementary approaches would be useful. We propose to use text-mining models to automatically suggest potential targets from the neuroscientific literature, full-text articles and abstracts, so that they can be used for anatomical connection studies and more specifically for tractography. We applied text-mining models to three structures: two well-studied structures, since validated deep brain stimulation targets, the internal globus pallidus and the subthalamic nucleus and, the nucleus accumbens, an exploratory target for treating psychiatric disorders. We performed a systematic review of the literature to document the projections of the three selected structures and compared it with the targets proposed by text-mining models, both in rat and primate (including human). We ran probabilistic tractography on the nucleus accumbens and compared the output with the results of the text-mining models and literature review. Overall, text-mining the literature could find three times as many targets as two man-weeks of curation could. The overall efficiency of the text-mining against literature review in our study was 98% recall (at 36% precision), meaning that over all the targets for the three selected seeds, only one target has been missed by text-mining. We demonstrate that connectivity for a structure of interest can be extracted from a very large amount of publications and abstracts. We believe this tool will be useful in helping the neuroscience community to facilitate connectivity studies of particular brain regions. The text mining tools used for the study are part of the HBP Neuroinformatics Platform, publicly available at http://connectivity-brainer.rhcloud.com/.

Intelligent Energy Data Warehouse: What Challenges?

The RIDER -Réseau et Inter connectivité Des Energies classiques et Renouvelables (Network and Inter-Connectivity of Classical and Renewable Energies) project gathers a pool of university laboratories, national and international companies to design intelligent energy management platforms. We present here our contribution on designing data warehouse architectural models for massive and heterogeneous data, to be integrated in a multi-building intelligent energy management platform. Although a lot of work has been done on the subject, present tools and techniques still do not cover all the challenges we face when confronted to real time energy-related data management. This paper presents an overview of the related research work on data streams, data warehousing and ETL (Extract Transform Load) processes. ETL data exceptions will be our main point of focus. This critical subject has been rather left aside in research works so far.