Breakthroughs in Brain Implants DOI

Zara Abrams

IEEE Pulse, Год журнала: 2023, Номер 14(6), С. 7 - 10

Опубликована: Ноя. 1, 2023

In 2023, Brain implants got a big boost. Neuralink, Elon Musk's startup, began recruiting for its first clinical trial paralysis patients; Precision Neuroscience received breakthrough designation from the Food and Drug Administration (FDA), allowing it to fast-track own trials. Meanwhile, scientific advances are revealing promising new applications such devices, including more comprehensive restoration of speech, sight, hearing, movement people who have lost those abilities, as well help psychiatric conditions, eating disorders depression.

Язык: Английский

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

Evangelos A. Angelopoulos

и другие.

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Фев. 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.

Язык: Английский

Процитировано

3

Brain–computer interfaces for neuropsychiatric disorders DOI
Lucine L. Oganesian, Maryam M. Shanechi

Nature Reviews Bioengineering, Год журнала: 2024, Номер 2(8), С. 653 - 670

Опубликована: Июнь 3, 2024

Язык: Английский

Процитировано

5

Behavior Changes in Quinpirole Obsessive-Compulsive Disorder Rats Treated with 6-Hydroxydopamine and the Corresponding Dopaminergic Compulsive Loop Mechanism DOI Creative Commons
Haowen Zheng, Rui He, Ming Yang

и другие.

Journal of Integrative Neuroscience, Год журнала: 2025, Номер 24(1)

Опубликована: Янв. 7, 2025

Background: Recent studies suggest that the anterior limb of internal capsule may be an area convergence for multiple compulsion loops. In this study, role different dopaminergic loops in mechanism obsessive-compulsive disorder (OCD) was investigated by selectively damaging neurons or fibers corresponding targets with 6-hydroxydopamine (6-OHDA) and depicting anatomical map various located capsule. Methods: A total 52 male Sprague Dawley (SD) rats were exposed to either saline (1 mL/kg, NS group, n = 6) quinpirole (QNP, dopamine D2-agonist, 0.5 mg/kg, 46) twice weekly 5 weeks. After each injection, placed on open field analyze aspects their behaviour, including number home base visits (NOH), average time between visit (ATBO), distance travelled (TDM). model setup, 46 QNP divided randomly into five groups: 6-OHDA (AC) stereotactic injection group (QNP+AC 10), mediodorsal thalamic nucleus (MD) (QNP+MD accumbens (NAC) (QNP+NAC (QNP+NS-S non-surgical (QNP+Non-S 6). simultaneously received a (NS+6-OHDA-S 6: AC2, MD2, NAC2). All QNP-treated then continued given week 4 weeks, behaviour observed after infusion. immunofluorescence staining used monitor distribution nerve areas intervention loops, quantitative analysis performed. Results: Compulsive declined gradually QNP+AC QNP+NAC groups 3 weeks surgery, decreasing more rapidly. The QNP+MD had decreased surgery but increased almost same level as pre-surgery at post-surgery. Postoperative fluorescence suggested (DA) target significantly reduced compared QNP+Non-S group. Conclusions: damages within OCD loop, which somewhat alleviates compulsive behaviours. results AC might best therapeutic interventions OCD.

Язык: Английский

Процитировано

0

Intracranial closed-loop neuromodulation as an intervention for neuropsychiatric disorders: an overview DOI Creative Commons

Jenna Langbein,

Ujwal Boddeti,

Weizhen Xie

и другие.

Frontiers in Psychiatry, Год журнала: 2025, Номер 16

Опубликована: Янв. 30, 2025

Recent technological advances in intracranial brain stimulation have enhanced the potential of neuromodulation for addressing neuropsychiatric disorders. We present a review methodology and preliminary outcomes pioneering studies exploring biomarker detection closed-loop to modulate high-symptom severity states searched PubMed, Scopus, Web Science, Embase, PsycINFO/PsycNet, followed by reference citation lists retrieved articles. This search strategy yielded total 583 articles, which 5 articles met inclusion criteria, focusing on depression, obsessive-compulsive disorder, post-traumatic stress binge eating disorder. discuss identification, biomarkers identified, treatment neuromodulation. Successful identification hinges investigating across various setting. Targeted neuromodulation, either directed at or within its associated neural network, offers promising approach. Future research should seek understand mechanisms underlying effects as well long-term viability these different conditions.

Язык: Английский

Процитировано

0

Reward signals in the motor cortex: from biology to neurotechnology DOI Creative Commons
Gérard Derosière, Solaiman Shokur, Pierre Vassiliadis

и другие.

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Фев. 3, 2025

Over the past decade, research has shown that primary motor cortex (M1), brain's main output for movement, also responds to rewards. These reward signals may shape in its final stages, influencing movement invigoration and learning. In this Perspective, we highlight functional roles of M1 propose how they could guide advances neurotechnologies restoration, specifically brain-computer interfaces non-invasive brain stimulation. Understanding open new avenues enhancing control rehabilitation. The (M1) not only drives but authors discuss M1's transform like stimulation recovery.

Язык: Английский

Процитировано

0

One‐hertz low‐frequency stimulation of anterior substantia nigra pars reticulata attenuates seizure via biased disinhibitory circuits DOI Open Access

Dongxiao Jiang,

Lin Yang, Lan Yu

и другие.

Epilepsia, Год журнала: 2025, Номер unknown

Опубликована: Фев. 11, 2025

Abstract Objective Low‐frequency stimulation (LFS) targeting key seizure nodes holds promising potential for the treatment of epilepsy. The substantia nigra pars reticulata (SNr) plays an important role in control yet has structural heterogeneity. This study aims to explore therapeutic LFS across different subregions SNr. Methods Different types models, including kainic acid‐induced hippocampal and neocortical models a pentetrazol‐induced model, were used address Fiber photometry, specific cell ablation, viral tracing measure release neurotransmitters heterogeneous circuit organizations Results We found that 1‐Hz anterior SNr (a‐SNr), but not posterior (p‐SNr), generally alleviated severity all three mouse models. Notably, antiseizure effects frequency‐dependent, with 100‐Hz high‐frequency being less effective 20‐Hz having hardly any impact. Regarding mechanism discrepancy, fiber photometry showed 1‐Hz, rather than 20‐ or 100‐Hz, a‐SNr significantly increased γ‐aminobutyric acid from exogenous inputs compared p‐SNr, which was further supported by their biased brain‐wide disinhibitory inputs. Significance These results demonstrate may be significance various seizures, highlighting necessity precisely target at low frequency treatment.

Язык: Английский

Процитировано

0

At-Home Movement State Classification Using Totally Implantable Bidirectional Cortical-Basal Ganglia Neural Interface DOI Creative Commons
Doris D. Wang, R. Ramesh, Hamid Fekri Azgomi

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Март 12, 2025

Movement decoding from invasive human recordings typically relies on a distributed system employing advanced machine learning algorithms programmed into an external computer for state classification. These brain-computer interfaces are limited to short-term studies in laboratory settings that may not reflect behavior and neural states the real world. The development of implantable devices with sensing capabilities is revolutionizing study treatment brain circuits. However, it unknown whether these can decode natural movement recorded activity or accurately classify real-time using on-board algorithms. Here, totally implanted sensing-enabled neurostimulator perform long-term, at-home motor cortex pallidum four subjects Parkinson's disease, we successfully identified highly sensitive specific personalized signatures gait state, as determined by wearable sensors. Additionally, demonstrated feasibility data generate biomarkers compatible classifier embedded neurostimulator. findings offer pipeline ecologically valid biomarker identification advance therapy across variety diseases.

Язык: Английский

Процитировано

0

Focal Infrared Neural Stimulation Propagates Dynamical Transformations in Auditory Cortex DOI Creative Commons
Brandon S. Coventry, Cuong P. Luu, Edward L. Bartlett

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Март 13, 2025

Abstract Significance Infrared neural stimulation (INS) has emerged as a potent neuromodulation technology, offering safe and focal with superior spatial recruitment profiles compared to conventional electrical methods. However, the dynamics induced by INS remain poorly understood. Elucidating these will help develop new paradigms advance its clinical application. Aim In this study, we assessed local network of entrainment in auditory thalamocortical circuit using chronically implanted rat model; our approach focused on measuring energy-based field potential (LFP) stimulation. We further characterized linear nonlinear oscillatory LFP activity response single-pulse periodic performed spectral decomposition uncover specific band INS. Finally, examined spike-field transformations across synapse spike-LFP coherence coupling. Results found that significantly increases amplitude log-linear function energy per pulse, primarily entraining β γ bands synchrony extending 200 Hz some cases. A subset neurons demonstrated nonlinear, chaotic oscillations linked information transfer cortical circuits. utilized coherences correlate spike coupling frequency suggest an energy-dependent model activation resulting from Conclusions show reliably drives robust can potently modulate potentials wide range frequencies stimulus parameter-dependent manner. Based results, propose design principles for developing full coverage, all-optical neuroprostheses.

Язык: Английский

Процитировано

0

Dissociable Physiological Biomarkers of Psychiatric Symptoms in Parkinson’s disease in the Subthalamic Nucleus: Evidence from Deep Brain Stimulation Intracranial Recordings DOI
Linbin Wang, Ying Zhao, Peng Huang

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 7, 2025

Abstract Psychiatric symptoms in Parkinson’s disease (PD) are highly prevalent and challenging to treat. This study maps oscillatory neural activity diverse psychiatric PD, using resting-state subthalamic nucleus (STN) local field potentials (LFPs) frontal EEG 75 PD patients undergoing deep brain stimulation (DBS). Our analysis revealed three levels of segregation: 1) Spectral: Depression was associated with increased alpha activity, apathy elevated beta theta alongside reduced beta, anxiety decreased low gamma, impulsivity gamma obsessive-compulsive disorders (OCD) delta activity. 2) Spatial: OCD localized anatomical STN, spanned both electrophysiological motor mapped STN. 3) Structural connectivity: UK Biobank analyses white matter pathways constraining STN These findings disentangle neurophysiological substrates psychiatry, identifying symptom-specific biomarkers informing targeted neuromodulation strategies.

Язык: Английский

Процитировано

0

Ethical considerations in closed loop deep brain stimulation DOI Creative Commons
Sunderland Baker,

Eliz Fenstermacher,

Rachel A. Davis

и другие.

Deep Brain Stimulation, Год журнала: 2023, Номер 3, С. 8 - 15

Опубликована: Окт. 1, 2023

BackgroundClosed-loop deep brain stimulation (DBS) uses feedback to infer a clinical state and adjust accordingly. This novel mechanism has several potential advantages over conventional DBS including reducing stimulation-induced side effects, improving battery longevity, alleviating symptoms not optimally treated with standard protocols. However, ethical challenges may arise the implementation of this technology, particularly respect decision making.ObjectiveTo discuss dilemmas encountered in using closed-loop for neurological psychiatric disorders.MethodsThe relevant literature is reviewed supplemented discussion ethically challenging scenarios. We outline an framework addressing these issues provide practical recommendations clinicians researchers.ResultsEthical considerations revolve around five key principles: 1) risk/benefit analysis; 2) inclusion exclusion criteria; 3) patient autonomy; 4) quality life benefit; 5) concerns associated recording neural activity.Conclusion(s)Developing implementing pragmatic will be critical as technology utilized patients both neurologic indications.

Язык: Английский

Процитировано

4