ReviewMedical & biological engineering & computing2016
Implantable neurotechnologies: a review of integrated circuit neural amplifiers.
Review in Medical & biological engineering & computing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 80 citations in OpenAlex.
- Implant-Grade Neural Sensing with Artifact-Resilient Computational Intelligence Preserves Spatial Fidelity of HFO Biomarkers in Epilepsy.Research square · 2026Article
- Modulation of place cells using targeted stimulation with bidirectional microelectrode arrays enhances spatial learning speed in mice.Fundamental research · 2026Article
- Area Selective Atomic Layer Deposition for the Use on Active Implants: An Overview of Available Process Technology.Advanced healthcare materials · 2025Review
- Article
- Wireless closed-loop deep brain stimulation using microelectrode array probes.Journal of Zhejiang University. Science. B · 2024Review
- Translational opportunities and challenges of invasive electrodes for neural interfaces.Nature biomedical engineering · 2023Review
- In Vivo Penetrating Microelectrodes for Brain Electrophysiology.Sensors (Basel, Switzerland) · 2022Review
- Noise Power Minimization in CMOS Brain-Chip Interfaces.Bioengineering (Basel, Switzerland) · 2022Article
- Highly Configurable 100 Channel Recording and Stimulating Integrated Circuit for Biomedical Experiments.Sensors (Basel, Switzerland) · 2021Article
- Analysis and Reduction of Nonlinear Distortion in AC-Coupled CMOS Neural Amplifiers with Tunable Cutoff Frequencies.Sensors (Basel, Switzerland) · 2021Article
- Electrophysiology Read-Out Tools for Brain-on-Chip Biotechnology.Micromachines · 2021Review
- Literature on Wearable Technology for Connected Health: Scoping Review of Research Trends, Advances, and Barriers.Journal of medical Internet research · 2019Article
- Developing Next-generation Brain Sensing Technologies - A Review.IEEE sensors journal · 2019Article
- Human motor decoding from neural signals: a review.BMC biomedical engineering · 2019Review
- A Programmable Multi-biomarker Neural Sensor for Closed-loop DBS.IEEE access : practical innovations, open solutions · 2018Article
- Broadband Prosthetic Interfaces: Combining Nerve Transfers and Implantable Multichannel EMG Technology to Decode Spinal Motor Neuron Activity.Frontiers in neuroscience · 2017Article
- Erratum to: Implantable neurotechnologies: bidirectional neural interfaces--applications and VLSI circuit implementations.Medical & biological engineering & computing · 2016Article
- Implantable neurotechnologies: a review of micro- and nanoelectrodes for neural recording.Medical & biological engineering & computing · 2016Review
- Implantable neurotechnologies: electrical stimulation and applications.Medical & biological engineering & computing · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Neural signal recording is critical in modern day neuroscience research and emerging neural prosthesis programs. Neural recording requires the use of precise, low-noise amplifier systems to acquire and condition the weak neural signals that are transduced through electrode interfaces. Neural amplifiers and amplifier-based systems are available commercially or can be designed in-house and fabricated using integrated circuit (IC) technologies, resulting in very large-scale integration or application-specific integrated circuit solutions. IC-based neural amplifiers are now used to acquire untethered/portable neural recordings, as they meet the requirements of a miniaturized form factor, light weight and low power consumption. Furthermore, such miniaturized and low-power IC neural amplifiers are now being used in emerging implantable neural prosthesis technologies. This review focuses on neural amplifier-based devices and is presented in two interrelated parts. First, neural signal recording is reviewed, and practical challenges are highlighted. Current amplifier designs with increased functionality and performance and without penalties in chip size and power are featured. Second, applications of IC-based neural amplifiers in basic science experiments (e.g., cortical studies using animal models), neural prostheses (e.g., brain/nerve machine interfaces) and treatment of neuronal diseases (e.g., DBS for treatment of epilepsy) are highlighted. The review concludes with future outlooks of this technology and important challenges with regard to neural signal amplification.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.