Literature DB >> 28211585

Adaptive deep brain stimulation controls levodopa-induced side effects in Parkinsonian patients.

Manuela Rosa1, Mattia Arlotti1,2, Sara Marceglia1,3, Filippo Cogiamanian4, Gianluca Ardolino4, Alessio Di Fonzo5, Leonardo Lopiano6, Emma Scelzo1, Aristide Merola6, Marco Locatelli7, Paolo M Rampini7, Alberto Priori1,8.   

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Year:  2017        PMID: 28211585      PMCID: PMC5412843          DOI: 10.1002/mds.26953

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


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The potential superior benefits of adaptive deep brain stimulation (aDBS) approaches1 compared to classical, constant‐parameters DBS were already proven by scientific evidence from different research groups.2, 3, 4 aDBS provides better symptoms control in Parkinson's disease patients by adapting the stimulation parameters to the patient's clinical state estimated through the analysis of subthalamic neuronal oscillations (ie, local field potentials) in the beta band (13‐30 Hz).5 Because aDBS administration was never systematically assessed during prolonged stimulation sessions in more ecologic conditions, we tested unilateral aDBS delivered for 2 hours, with specific focus on the concurrent administration of levodopa treatment, in freely moving parkinsonian patients. We therefore randomly administered aDBS and cDBS through an external wearable prototype6 in 10 PD patients with DBS electrode implant in 2 different experimental sessions taking place the 5th and the 6th day after surgery (Fig. 1A). Each experimental session lasted 2 hours, during which the patient, after a baseline assessment (OFF DBS and OFF medication, stimOFF/medOFF), received both levodopa and stimulation (aDBS or cDBS), thus allowing one to study the interaction between electrical and pharmacological stimulation (ON DBS and ON medication, stimON/medON). The patient was blind to the type of DBS received during the session. The clinical effects were blindly evaluated through the UPDRS III (motor part) and the Unified Dyskinesia Rating Scale (UDysRS). According to the gold standard, the clinical assessment was performed by a blinded video rater (rigidity scores were excluded from the analysis). The total electrical energy delivered (TEED) was used for energy efficiency assessment and adverse events were collected for safety assessment.
Figure 1

(A) Experimental design of each experimental session. Clinical effects were evaluated using the motor part of the Unified PD Rating Scale (UPDRS III) and the Unified Dyskinesia Rating Scale (UDysRS III and IV) during the concurrent administration of DBS (adaptive deep brain stimulation [aDBS] or conventional DBS [cDBS]) and levodopa. (B) The UPDRS III and UDysRS scores during aDBS and cDBS, normalized for the maximum score between aDBS and cDBS. (C) Total electrical energy delivered (TEED) per unit of time (μW) for aDBS (white color) and cDBS (gray color). Error bars represent the standard error (SE). med, medication; stim, stimulation.

(A) Experimental design of each experimental session. Clinical effects were evaluated using the motor part of the Unified PD Rating Scale (UPDRS III) and the Unified Dyskinesia Rating Scale (UDysRS III and IV) during the concurrent administration of DBS (adaptive deep brain stimulation [aDBS] or conventional DBS [cDBS]) and levodopa. (B) The UPDRS III and UDysRS scores during aDBS and cDBS, normalized for the maximum score between aDBS and cDBS. (C) Total electrical energy delivered (TEED) per unit of time (μW) for aDBS (white color) and cDBS (gray color). Error bars represent the standard error (SE). med, medication; stim, stimulation. The clinical scores were not significantly different between the 2 experimental sessions at baseline (stimOFF/medOFF UPDRS III, aDBS vs cDBS: 37.0 ± 16.8 vs 36.6 ± 16.2; F 1,9 = 0.2, P > .05). When the patient was under the effect of both levodopa and DBS (stimON/medON), we observed a similar improvement on global motor symptoms regardless to the type of DBS (UPDRS III percent change from baseline, aDBS vs cDBS: −46.1% ± 10.5% vs −40.1% ± 17.5%; F 1,9 = 0.6, P > .05; Fig. 1B). Conversely, in this condition, aDBS was more effective on dyskinesias than cDBS (UDysRS score, aDBS vs cDBS: 11.7 ± 67 vs 15.0 ± 8.7; F 1,9 = 6.1, P = .02; Fig. 1C). These results were obtained with an average power saving of 73.6% ± 22.9% in aDBS compared with cDBS (mean TEED aDBS vs cDBS: 44.6 ± 47.9 μW vs 158.7 ± 69.7 μW; F 1,8 = 30.4, P = .0005). Throughout the entire experiment, we did not observe any serious adverse event specifically linked to DBS. These results support the idea that aDBS, being effective, efficient, and safe, when administered concomitantly to levodopa could help clinicians limit the severity of side effects induced by the transient summation of DBS stimulation and pharmacological therapy. However, the acute experimental setting, characterized by a microlesional effect and by the presence of edema, is a major limitation for the generalizability of our results that need to be confirmed by other studies conducted in a more chronic condition, possibly with implantable devices.

Author Roles

1) Research project: A. Conception, B. Organization, C. Execution; 2) Statistical Analysis: A. Design, B. Execution, C. Review and Critique; 3) Manuscript: A. Writing of the first draft, B. Review and Critique. M.R.: 1B, 1C, 2B, 3A M.A.: 1B, 1C, 2C, 3B SM: 1B, 2A, 2C, 3A F.C.: 1B G.A.: 1B A.D.F.: 1C L.L.: 3B E.S.: 3A A.M.: 2C M.L.: 1C P.M.R.: 1C, 3B A.P.: 1B

Full financial disclosures for the previous 12 months

AP and SM were consultant for Newronika srl in the last 12 months
  6 in total

Review 1.  Adaptive deep brain stimulation (aDBS) controlled by local field potential oscillations.

Authors:  Alberto Priori; Guglielmo Foffani; Lorenzo Rossi; Sara Marceglia
Journal:  Exp Neurol       Date:  2012-09-27       Impact factor: 5.330

2.  An external portable device for adaptive deep brain stimulation (aDBS) clinical research in advanced Parkinson's Disease.

Authors:  Mattia Arlotti; Lorenzo Rossi; Manuela Rosa; Sara Marceglia; Alberto Priori
Journal:  Med Eng Phys       Date:  2016-03-27       Impact factor: 2.242

Review 3.  The adaptive deep brain stimulation challenge.

Authors:  Mattia Arlotti; Manuela Rosa; Sara Marceglia; Sergio Barbieri; Alberto Priori
Journal:  Parkinsonism Relat Disord       Date:  2016-04-02       Impact factor: 4.891

4.  Adaptive deep brain stimulation in advanced Parkinson disease.

Authors:  Simon Little; Alex Pogosyan; Spencer Neal; Baltazar Zavala; Ludvic Zrinzo; Marwan Hariz; Thomas Foltynie; Patricia Limousin; Keyoumars Ashkan; James FitzGerald; Alexander L Green; Tipu Z Aziz; Peter Brown
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5.  Bilateral adaptive deep brain stimulation is effective in Parkinson's disease.

Authors:  Simon Little; Martijn Beudel; Ludvic Zrinzo; Thomas Foltynie; Patricia Limousin; Marwan Hariz; Spencer Neal; Binith Cheeran; Hayriye Cagnan; James Gratwicke; Tipu Z Aziz; Alex Pogosyan; Peter Brown
Journal:  J Neurol Neurosurg Psychiatry       Date:  2015-09-30       Impact factor: 10.154

6.  Adaptive deep brain stimulation in a freely moving Parkinsonian patient.

Authors:  Manuela Rosa; Mattia Arlotti; Gianluca Ardolino; Filippo Cogiamanian; Sara Marceglia; Alessio Di Fonzo; Francesca Cortese; Paolo M Rampini; Alberto Priori
Journal:  Mov Disord       Date:  2015-05-21       Impact factor: 10.338

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Review 2.  Debugging Adaptive Deep Brain Stimulation for Parkinson's Disease.

Authors:  Simon Little; Peter Brown
Journal:  Mov Disord       Date:  2020-02-10       Impact factor: 10.338

3.  A novel method for calculating beta band burst durations in Parkinson's disease using a physiological baseline.

Authors:  R W Anderson; Y M Kehnemouyi; R S Neuville; K B Wilkins; C M Anidi; M N Petrucci; J E Parker; A Velisar; H M Brontë-Stewart
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Review 4.  Toward Electrophysiology-Based Intelligent Adaptive Deep Brain Stimulation for Movement Disorders.

Authors:  Andrea A Kühn; R Mark Richardson; Wolf-Julian Neumann; Robert S Turner; Benjamin Blankertz; Tom Mitchell
Journal:  Neurotherapeutics       Date:  2019-01       Impact factor: 7.620

5.  Continuous deep brain stimulation of the subthalamic nucleus may not modulate beta bursts in patients with Parkinson's disease.

Authors:  Stephen L Schmidt; Jennifer J Peters; Dennis A Turner; Warren M Grill
Journal:  Brain Stimul       Date:  2019-12-17       Impact factor: 8.955

6.  Biomarkers for closed-loop deep brain stimulation in Parkinson disease and beyond.

Authors:  Walid Bouthour; Pierre Mégevand; John Donoghue; Christian Lüscher; Niels Birbaumer; Paul Krack
Journal:  Nat Rev Neurol       Date:  2019-06       Impact factor: 42.937

7.  Longitudinal analysis of local field potentials recorded from directional deep brain stimulation lead implants in the subthalamic nucleus.

Authors:  AnneMarie K Brinda; Alex M Doyle; Madeline Blumenfeld; Jordan Krieg; Joseph S R Alisch; Chelsea Spencer; Emily Lecy; Lucius K Wilmerding; Adele DeNicola; Luke A Johnson; Jerrold L Vitek; Matthew D Johnson
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8.  Closed-Loop neuromodulation for clustering neuronal populations.

Authors:  Sadegh Faramarzi; Théoden I Netoff
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9.  Predicting beta bursts from local field potentials to improve closed-loop DBS paradigms in Parkinson's patients.

Authors:  Eduardo Martin Moraud; Gerd Tinkhauser; Mayank Agrawal; Peter Brown; Rafal Bogacz
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2018-07

Review 10.  Technology of deep brain stimulation: current status and future directions.

Authors:  Joachim K Krauss; Nir Lipsman; Tipu Aziz; Alexandre Boutet; Peter Brown; Jin Woo Chang; Benjamin Davidson; Warren M Grill; Marwan I Hariz; Andreas Horn; Michael Schulder; Antonios Mammis; Peter A Tass; Jens Volkmann; Andres M Lozano
Journal:  Nat Rev Neurol       Date:  2020-11-26       Impact factor: 42.937

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