Computational neurostimulation for Parkinson's disease

Little, Simon; Bestmann, Sven

doi:10.1016/bs.pbr.2015.09.002

Cited by 12 publications

(10 citation statements)

References 109 publications

(124 reference statements)

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“…Our simulations therefore highlight a specific type of inhibitory–excitatory balance: increased inhibitory and excitatory synaptic potential—that promotes plasticity. This forms a testable hypothesis for future work: can introducing this particular type of modification to inhibitory–excitatory balance in perilesional regions—via pharmacological modulation or deep brain stimulation ( Bestmann, 2015 ; Little and Bestmann, 2015 )—reverse functional deficits? Our results suggest that targeted rehabilitative therapy may only engender functional improvements if it (i) induces wide-spread plasticity in the neural network and (ii) is delivered during the post-infarction sensitive period.…”

Section: Discussionmentioning

confidence: 99%

Paradoxical lesions, plasticity and active inference

Sajid

Parr

Gajardo-Vidal

et al. 2020

Brain Communications

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Paradoxical lesions are secondary brain lesions that ameliorate functional deficits caused by the initial insult. This effect has been explained in several ways; particularly by the reduction of functional inhibition, or by increases in the excitatory-to-inhibitory synaptic balance within perilesional tissue. In this article, we simulate how and when a modification of the excitatory-inhibitory balance triggers the reversal of a functional deficit caused by a primary lesion. For this, we introduce in-silico lesions to an active inference model of auditory word repetition. The first in-silico lesion simulated damage to the extrinsic (between region) connectivity causing a functional deficit that did not fully resolve over 100 trials of a word repetition task. The second lesion was implemented in the intrinsic (within region) connectivity, compromising the model’s ability to rebalance excitatory-inhibitory connections during learning. We found that when the second lesion was mild, there was an increase in experience-dependent plasticity that enhanced performance relative to a single lesion. This paradoxical lesion effect disappeared when the second lesion was more severe because plasticity-related changes were disproportionately amplified in the intrinsic connectivity, relative to lesioned extrinsic connections. Finally, this framework was used to predict the physiological correlates of paradoxical lesions. This formal approach provides new insights into the computational and neurophysiological mechanisms that allow some patients to recover after large or multiple lesions.

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Section: Discussionmentioning

confidence: 99%

Paradoxical lesions, plasticity and active inference

Sajid

Parr

Gajardo-Vidal

et al. 2020

Brain Communications

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“…Second, throughout this paper, we attempted to provide compelling evidence for the critical role of computational neurostimulation in closed-loop identification of novel stimulation protocols [ 56 , 76 ]. The computational model employed operates on the principles of phase reduction and phase-resetting that are inherently characterized by simplicity and analytical tractability [ 48 , 77 – 79 ], and further incorporates the dynamics of neuronal bursting activity that constitutes a hallmark of PD and OCD pathophysiology.…”

Section: Discussionmentioning

confidence: 99%

Algorithmic design of a noise-resistant and efficient closed-loop deep brain stimulation system: A computational approach

Karamintziou¹,

Custódio²,

Piallat³

et al. 2017

PLoS ONE

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Advances in the field of closed-loop neuromodulation call for analysis and modeling approaches capable of confronting challenges related to the complex neuronal response to stimulation and the presence of strong internal and measurement noise in neural recordings. Here we elaborate on the algorithmic aspects of a noise-resistant closed-loop subthalamic nucleus deep brain stimulation system for advanced Parkinson’s disease and treatment-refractory obsessive-compulsive disorder, ensuring remarkable performance in terms of both efficiency and selectivity of stimulation, as well as in terms of computational speed. First, we propose an efficient method drawn from dynamical systems theory, for the reliable assessment of significant nonlinear coupling between beta and high-frequency subthalamic neuronal activity, as a biomarker for feedback control. Further, we present a model-based strategy through which optimal parameters of stimulation for minimum energy desynchronizing control of neuronal activity are being identified. The strategy integrates stochastic modeling and derivative-free optimization of neural dynamics based on quadratic modeling. On the basis of numerical simulations, we demonstrate the potential of the presented modeling approach to identify, at a relatively low computational cost, stimulation settings potentially associated with a significantly higher degree of efficiency and selectivity compared with stimulation settings determined post-operatively. Our data reinforce the hypothesis that model-based control strategies are crucial for the design of novel stimulation protocols at the backstage of clinical applications.

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“…Una explicación para esto es que la estimulación continua a altas frecuencias ejerce una estimulación indirecta sobre estructuras adyacentes a NST (Stegemoller et al, 2013). Algunos avances tecnológicos recientes han dado paso a la estimulación cerebral profunda adaptable (ECPa), la cual usa retroalimentación de las señales del cerebro para guiar la estimulación (Little et al, 2014;Little & Bestmann, 2015). Con este tipo de retroalimentación el NST es estimulado únicamente cuando los sensores registran frecuencia beta.…”

Section: Estimulación Cerebral Profunda (Ecp)unclassified

La Enfermedad de Parkinson: Etiología, Tratamientos y Factores Preventivos

Hurtado

Cárdenas

et al. 2017

Univ Psychol

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RESUMENLa enfermedad de Parkinson (EP) es la patología neurodegenerativa motora con mayor incidencia a nivel mundial, cuyas causas aún no son claras. Actualmente no existe cura, pero es posible contar con diferentes tratamientos que permiten aliviar algunos de sus síntomas y enlentecer su curso. Debido a la gran cantidad de informaciones, en ocasiones contradictorias sobre los llamados "factores de riesgo" (entendidos éstos como situaciones que pueden exacerbar la posibilidad de aparición de la enfermedad, incluyendo desde la predisposición familiar hasta la exposición prolongada a substancias exógenas), en esta revisión se pretende ofrecer una panorámica actual sobre factores asociados a la aparición de EP. Se revisan también algunos tratamientos que buscan contrarrestar la pérdida de la función dopaminérgica de la substancia nigra (SN) y algunas de las aproximaciones terapéuticas tanto farmacológicas, como por estimulación cerebral profunda (ECP) o por implante celular. Se revisan también investigaciones sobre el potencial terapéutico de compuestos con alta especificidad a receptores colinérgicos (nAChRs) y antagonistas de receptores de adenosina, específicamente del subtipo A2A. Posiblemente durante las próximas décadas, nuestro conocimiento en epigenética pueda arrojar nuevas luces sobre esta interacción, así como sobre las relaciones entre ciertas líneas de microbios intestinales y aparición de EP. En este momento, la alternativa terapéutica que ofrece mayor eficacia es la ECP, sin embargo, a futuro se espera que el desarrollo de nuevas estrategias de implante cerebral pueda ofrecer una cura real de la EP. Palabras claveEnfermedad de Parkinson (EP); estimulación cerebral profunda (ECP); sustancia nigra (SN); núcleo subtálamico (NST); globo pálido interno (GPi). ABSTRACTParkinson's disease (PD) is the most prevalent neurodegenerative motor pathology worldwide, the causes of which are still unclear. Currently there is no cure, but it is possible to have different treatments that allow to alleviate some of its symptoms and slow its course. Due to the large amount of information, sometimes contradictory, about the

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Computational neurostimulation for Parkinson's disease

Cited by 12 publications

References 109 publications

Paradoxical lesions, plasticity and active inference

Paradoxical lesions, plasticity and active inference

Algorithmic design of a noise-resistant and efficient closed-loop deep brain stimulation system: A computational approach

La Enfermedad de Parkinson: Etiología, Tratamientos y Factores Preventivos

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