A flexible protruding microelectrode array for neural interfacing in bioelectronic medicine DOI Creative Commons
Helen Steins, Michael Mierzejewski,

Lisa Brauns

et al.

Microsystems & Nanoengineering, Journal Year: 2022, Volume and Issue: 8(1)

Published: Dec. 22, 2022

Recording neural signals from delicate autonomic nerves is a challenging task that requires the development of low-invasive interface with highly selective, micrometer-sized electrodes. This paper reports on three-dimensional (3D) protruding thin-film microelectrode array (MEA), which intended to be used for recording low-amplitude pelvic nervous structures by penetrating transversely reduce distance axons. Cylindrical gold pillars (Ø 20 or 50 µm, ~60 µm height) were fabricated micromachined polyimide substrate in an electroplating process. Their sidewalls insulated parylene C, and their tips optionally modified wet etching and/or application titanium nitride (TiN) coating. The microelectrodes these combined techniques exhibited low impedances (~7 kΩ at 1 kHz Ø exposed surface area ~5000 µm²) intrinsic noise levels. functionalities evaluated ex vivo pilot study mouse retinae, spontaneous neuronal spikes recorded amplitudes up 66 µV. novel process strategy fabricating flexible, 3D interfaces low-impedance has potential selectively record not only such as retinal cells but also improved signal quality circuits develop stimulation strategies bioelectronic medicine, e.g., control vital digestive functions.

Language: Английский

Bio-inspired electronics: Soft, biohybrid, and “living” neural interfaces DOI Creative Commons
Dimitris Boufidis, Raghav Garg,

Evangelos A. Angelopoulos

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 21, 2025

Neural interface technologies are increasingly evolving towards bio-inspired approaches to enhance integration and long-term functionality. Recent strategies merge soft materials with tissue engineering realize biologically-active and/or cell-containing living layers at the tissue-device that enable seamless biointegration novel cell-mediated therapeutic opportunities. This review maps field of electronics discusses key recent developments in tissue-like regenerative bioelectronics, from biomaterials surface-functionalized bioactive coatings 'biohybrid' 'all-living' interfaces. We define contextualize terminology this emerging highlight how biological components can bridge gap clinical translation.

Language: Английский

Citations

3
N2GNet tracks gait performance from subthalamic neural signals in Parkinson’s disease DOI Creative Commons
Jin Woo Choi, Chuyi Cui, Kevin B. Wilkins

et al.

npj Digital Medicine, Journal Year: 2025, Volume and Issue: 8(1)

Published: Jan. 4, 2025

Abstract Adaptive deep brain stimulation (DBS) provides individualized therapy for people with Parkinson’s disease (PWP) by adjusting the in real-time using neural signals that reflect their motor state. Current algorithms, however, utilize condensed and manually selected features which may result a less robust biased therapy. In this study, we propose Neural-to-Gait Neural network (N2GNet), novel learning-based regression model capable of tracking gait performance from subthalamic nucleus local field potentials (STN LFPs). The LFP data were acquired when eighteen PWP performed stepping place, ground reaction forces measured to track weight shifts representing performance. By exhibiting stronger correlation compared higher-correlation beta power two leads outperforming other evaluated designs, N2GNet effectively leverages comprehensive frequency band, not limited range, solely STN LFPs.

Language: Английский

Citations

2
Non-invasive suppression of essential tremor via phase-locked disruption of its temporal coherence DOI Creative Commons
Sebastian R. Schreglmann, David Wang, Robert L. Peach

et al.

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: Jan. 13, 2021

Aberrant neural oscillations hallmark numerous brain disorders. Here, we first report a method to track the phase of in real-time via endpoint-corrected Hilbert transform (ecHT) that mitigates characteristic Gibbs distortion. We then used ecHT show aberrant oscillation hallmarks essential tremor (ET) syndrome, most common adult movement disorder, can be transiently suppressed transcranial electrical stimulation cerebellum phase-locked tremor. The suppression is sustained shortly after end and phenomenologically predicted. Finally, use feature-based statistical-learning neurophysiological-modelling ET mechanistically attributed disruption temporal coherence olivocerebellar loop, thus establishing its causal role. driven may future represent powerful neuromodulatory strategy treat

Language: Английский

Citations

91
Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in obsessive-compulsive disorder DOI
Nicole R. Provenza, Sameer A. Sheth, Evan M. Dastin-van Rijn

et al.

Nature Medicine, Journal Year: 2021, Volume and Issue: 27(12), P. 2154 - 2164

Published: Dec. 1, 2021

Language: Английский

Citations

80
Primary motor cortex in Parkinson’s disease: Functional changes and opportunities for neurostimulation DOI Creative Commons
Conor F. Underwood, Louise C. Parr‐Brownlie

Neurobiology of Disease, Journal Year: 2020, Volume and Issue: 147, P. 105159 - 105159

Published: Nov. 3, 2020

Movement abnormalities of Parkinson's disease (PD) arise from disordered neural activity in multiple interconnected brain structures. The planning and execution movement requires recruitment a heterogeneous collection pyramidal projection neurons the primary motor cortex (M1). representations M1 single-cell field potential recordings are directly indirectly influenced by midbrain dopaminergic that degenerate PD. This review examines functional alterations PD as uncovered electrophysiological neurostimulation studies patients experimental animal models. Dysfunction parkinsonian depends on severity and/or duration dopamine-depletion species examined, is expressed movement-related firing dynamics; reorganisation local circuits; changes beta oscillations. Neurostimulation methods modulate (e.g., transcranial magnetic stimulation) or (subthalamic nucleus deep improve function patients, showing targeted neuromodulation realistic therapy. We argue therapeutic profile likely to be greatly enhanced with alternative technologies permit cell-type specific control incorporate feedback biomarkers measured locally.

Language: Английский

Citations

74
The phase of sensorimotor mu and beta oscillations has the opposite effect on corticospinal excitability DOI Creative Commons
Miles Wischnewski,

Zachary Haigh,

Sina Shirinpour

et al.

Brain stimulation, Journal Year: 2022, Volume and Issue: 15(5), P. 1093 - 1100

Published: Aug. 11, 2022

Neural oscillations in the primary motor cortex (M1) shape corticospinal excitability. Power and phase of ongoing mu (8-13 Hz) beta (14-30 activity may mediate cortical output. However, functional dynamics both power relationships their interaction, are largely unknown.Here, we employ recently developed real-time targeting rhythm, to apply phase-specific brain stimulation probe excitability non-invasively. For this, used instantaneous read-out analysis oscillations, four different phases (0°, 90°, 180°, 270°) rhythms with suprathreshold single-pulse transcranial magnetic (TMS) M1. Ensuing evoked potentials (MEPs) right first dorsal interossei muscle were recorded. Twenty healthy adults took part this double-blind randomized crossover study.Mixed model regression analyses showed significant phase-dependent modulation output by rhythm. Strikingly, these modulations exhibit a double dissociation. MEPs larger at trough rising smaller peak falling phase. rhythm found opposite behavior. Also, power, but not was positively correlated effects did interact for either suggesting independence between aspects oscillations.Our results provide insights into oscillation dynamics, which offers opportunity improve effectiveness TMS specifically frequency bands.

Language: Английский

Citations

69
The advent of fear conditioning as an animal model of post-traumatic stress disorder: Learning from the past to shape the future of PTSD research DOI Creative Commons
Thomas Bienvenu, Cyril Déjean, Daniel Jercog

et al.

Neuron, Journal Year: 2021, Volume and Issue: 109(15), P. 2380 - 2397

Published: June 18, 2021

Language: Английский

Citations

67
Therapeutic deep brain stimulation disrupts movement-related subthalamic nucleus activity in parkinsonian mice DOI Creative Commons
Jonathan S. Schor,

Isabelle Gonzalez Montalvo,

Perry W.E. Spratt

et al.

eLife, Journal Year: 2022, Volume and Issue: 11

Published: July 4, 2022

Subthalamic nucleus deep brain stimulation (STN DBS) relieves many motor symptoms of Parkinson’s disease (PD), but its underlying therapeutic mechanisms remain unclear. Since advent, three major theories have been proposed: (1) DBS inhibits the STN and basal ganglia output; (2) antidromically activates cortex; (3) disrupts firing dynamics within STN. Previously, stimulation-related electrical artifacts limited mechanistic investigations using electrophysiology. We used artifact-free GCaMP fiber photometry to investigate activity in nuclei during parkinsonian mice. To test whether observed changes were sufficient relieve symptoms, we then combined electrophysiological recording with targeted optical protocols. Our findings suggest that exerts effect through disruption movement-related activity, rather than inhibition or antidromic activation. These results provide insight into optimizing PD treatments establish an approach for investigating other neuropsychiatric conditions.

Language: Английский

Citations

40
Perspectives on adaptive dynamical systems DOI Creative Commons
Jakub Sawicki, Rico Berner, Sarah A. M. Loos

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2023, Volume and Issue: 33(7)

Published: July 1, 2023

Adaptivity is a dynamical feature that omnipresent in nature, socio-economics, and technology. For example, adaptive couplings appear various real-world systems, such as the power grid, social, neural networks, they form backbone of closed-loop control strategies machine learning algorithms. In this article, we provide an interdisciplinary perspective on systems. We reflect notion terminology adaptivity different disciplines discuss which role plays for fields. highlight common open challenges give perspectives future research directions, looking to inspire approaches.

Language: Английский

Citations

32
Corticostriatal beta oscillation changes associated with cognitive function in Parkinson’s disease DOI
Danika Paulo,

Helen Qian,

Deeptha Subramanian

et al.

Brain, Journal Year: 2023, Volume and Issue: 146(9), P. 3662 - 3675

Published: June 16, 2023

Abstract Cognitive impairment is the most frequent non-motor symptom in Parkinson’s disease and associated with deficits a number of cognitive functions including working memory. However, pathophysiology poorly understood. Beta oscillations have previously been shown to play an important role memory encoding. Decreased dopamine motor cortico-striato-thalamo-cortical (CSTC) circuits increases spectral power beta results symptoms. Analogous changes parallel CSTC involving caudate dorsolateral prefrontal cortex (DLPFC) may contribute impairment. The objective our study evaluate whether DLPFC patients. To investigate this, we used local field potential recordings during deep brain stimulation surgery 15 patients disease. Local potentials were recorded from at rest task. We examined oscillatory task as well relationship activity preoperative status, determined neuropsychological testing results. additionally conducted exploratory analyses on between task-based additional frequency bands. Spectral decreased both encoding increased these structures feedback. Subjects had smaller decreases In analysis, found that similar differences occurred alpha frequencies theta DLPFC. Our findings suggest symptoms These inform future development novel neuromodulatory treatments for

Language: Английский

Citations

29