Benjamin I Ferleger

ORCID: 0000-0001-7517-4513
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About
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Research Areas
  • Neurological disorders and treatments
  • Neuroscience and Neural Engineering
  • Parkinson's Disease Mechanisms and Treatments
  • EEG and Brain-Computer Interfaces
  • Additive Manufacturing and 3D Printing Technologies
  • Photoreceptor and optogenetics research
  • Advanced Memory and Neural Computing
  • Molecular Communication and Nanonetworks
  • Advanced Sensor and Energy Harvesting Materials
  • Neural dynamics and brain function
  • Genetic Neurodegenerative Diseases
  • MXene and MAX Phase Materials
  • Botulinum Toxin and Related Neurological Disorders

University of Pennsylvania
2022-2024

University of Washington
2020-2021

Advanced Healthcare MaterialsVolume 14, Issue 4 2570021 Inside Front CoverFree Access Transparent MXene Microelectrode Arrays for Multimodal Mapping of Neural Dynamics (Adv. Mater. 4/2025) Sneha Shankar, ShankarSearch more papers by this authorYuzhang Chen, Yuzhang ChenSearch authorSpencer Averbeck, Spencer AverbeckSearch authorQuincy Hendricks, Quincy HendricksSearch authorBrendan Murphy, Brendan MurphySearch authorBenjamin Ferleger, Benjamin FerlegerSearch authorNicolette Driscoll,...

10.1002/adhm.202570021 article EN Advanced Healthcare Materials 2025-02-01

Abstract Objective. Deep brain stimulation (DBS) programming for movement disorders requires systematic fine tuning of parameters to ameliorate tremor and other symptoms while avoiding side effects. DBS can be a time-consuming process clinical expertise assess response optimize therapy each patient. In this study, we describe evaluate an automated, closed-loop, patient-specific framework that measures using smartwatch automatically changes based on the recommendations from closed-loop...

10.1088/1741-2552/ac86a2 article EN Journal of Neural Engineering 2022-08-01

Abstract Objective . Deep brain stimulation (DBS) is a safe and established treatment for essential tremor (ET) several other movement disorders. One approach to improving DBS therapy adaptive (aDBS), in which parameters are modulated real time based on biofeedback from either external or implanted sensors. Previously tested systems have fallen short of translational applicability due the requirement patients continuously wear necessary sensors processing devices, as well privacy security...

10.1088/1741-2552/abb416 article EN Journal of Neural Engineering 2020-09-01

Transparent microelectrode arrays have proven useful in neural sensing, offering a clear interface for monitoring brain activity without compromising high spatial and temporal resolution. The current landscape of transparent electrode technology faces challenges developing durable, highly electrodes while maintaining low impedance prioritizing scalable processing fabrication methods. To address these limitations, we introduce artifact-resistant MXene optimized spatiotemporal resolution...

10.1002/adhm.202402576 article EN cc-by-nc-nd Advanced Healthcare Materials 2024-09-27

Deep brain stimulation (DBS) is an established therapy for Parkinson's disease (PD) and essential-tremor (ET). In adaptive DBS (aDBS) systems, online tuning of parameters as a function neural signals may improve treatment efficacy reduce side-effects. State-of-the-art aDBS systems use symptom surrogates derived from signals---so-called markers (NMs)---defined on the patient-group level, control strategies assuming stationarity symptoms NMs. We aim at improving these with 1) data-driven...

10.3389/fnhum.2020.541625 article EN cc-by Frontiers in Human Neuroscience 2020-11-05

Deep brain stimulation (DBS) is a safe and established treatment for essential tremor (ET). However, there remains considerable room improvement due to concerns associated with the initial implant surgery, semi-regular revision surgeries battery replacements, side effects including paresthesia, gait ataxia, emotional disinhibition that have been continuous, or conventional, DBS (cDBS) treatment. Adaptive (aDBS) seeks ameliorate some of these by using feedback from either an external wearable...

10.1109/embc44109.2020.9175908 article EN 2020-07-01

One significant hindrance to effective diagnosis of movement disorders (MDs) and analysis their progression is the requirement for patients conduct tests in presence a clinician. Here presented pilot study essential tremor (ET), world's most common MD, through tablet- or mobile-based drawing task that may be selected at will, with spiral- line-drawing tasks Fahn-Tolosa-Marin rating scale serving as our this work. This system replaces need pen-and-paper while permitting advanced quantitative...

10.1109/embc44109.2020.9176044 article EN 2020-07-01

Drawing tasks, such as completing an Archimedes spiral, are commonly used to diagnose and evaluate tremor severity in individuals presenting with tremor-like symptoms. Clinical evaluation of these tasks is generally restricted having a clinician examine rate performance using one several rating scales. Although this method relatively effective assessment, it restricts assessment clinical settings requires each be evaluated individually, placing considerable time demands on both patients...

10.1109/bibe50027.2020.00061 article EN 2020-10-01

Objective: Deep brain stimulation (DBS) is a safe and established treatment for essential tremor (ET) several other movement disorders. One approach to improving DBS therapy adaptive (aDBS), in which parameters are modulated real time based on biofeedback from either external or implanted sensors. Previously tested systems have fallen short of translational applicability due the requirement patients continuously wear necessary sensors processing devices, as well privacy security concerns....

10.1101/2020.05.28.20092148 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2020-06-01

Direct brain stimulation is used to provide artificial sensory percepts after injury natural pathways. The threshold current for neuronal activation strongly increases with neuron distance from the stimulating electrode. We hypothesized that this current-distance relationship could make perceptual thresholds susceptible substantial variability if are based on integrating activity within very small ( <tex xmlns:mml="http://www.w3.org/1998/Math/MathML"...

10.1109/ner52421.2023.10123791 article EN 2023-04-24
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