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Micromachines
Special Issues
Sensors for Brain Analytics
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Sensors for Brain Analytics

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B：Biology and Biomedicine".

Deadline for manuscript submissions: closed (20 June 2022) | Viewed by 2397

Special Issue Editor

Dr. Mohsen Nami

E-Mail Website
Guest Editor
Department of Electrical Engineering, Yale University, New Haven, CT 06520, USA
Interests: neuroimaging; neuromonitoring; neuromodulation

Special Issue Information

Dear Colleagues,

The human nervous system controls most body functions and activities. These activities range from sensory perception and motor control to cognition to executive control. The networks of the human nervous system rely on the generation and propagation of electrochemical signals to control body functions. Real-time monitoring of brain activity and the precise measurement of neurochemicals are critical for a deep understanding of brain function and brain disorders. This Special Issue is aimed at providing selected contributions on advances in neuroimaging, neurosensors, and neuroscience.

Potential topics include but are not limited to:

  • Neuroimaging;
  • Neurological and neuropsychiatric disorders;
  • Animal studies and models;
  • Neurochemical biosensors;
  • Neuromodulation;
  • Optical and electrical brain computer interface;
  • Mind digitization.

Dr. Mohsen Nami
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • neuroscience
  • neuroimaging
  • neuroengineering

Published Papers (1 paper)

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Research

12 pages, 2819 KiB  
Article
Designing Sensitivity: A Comparative Analysis of Microelectrode Topologies for Electrochemical Oxygen Sensing in Biomedical Applications
by Daniel T. Bacheschi, Evan Z. Strittmatter, Sonya Sawtelle and Mohsen Nami
Micromachines 2022, 13(1), 141; https://0-doi-org.brum.beds.ac.uk/10.3390/mi13010141 - 17 Jan 2022
Cited by 2 | Viewed by 2027
Abstract
The monitoring of dissolved oxygen is a key parameter in many fields, namely the treatment and monitoring of various cerebral traumas. Leveraging existing manufacturing techniques, electrochemical sensors hold the potential for compact, simple, and scalable dissolved oxygen sensors. Past studies have focused on [...] Read more.
The monitoring of dissolved oxygen is a key parameter in many fields, namely the treatment and monitoring of various cerebral traumas. Leveraging existing manufacturing techniques, electrochemical sensors hold the potential for compact, simple, and scalable dissolved oxygen sensors. Past studies have focused on the general design of such sensors, but a comparative study on the impact of microelectrode geometries for cerebral applications has been forthcoming. We present here the results of a characterization study conducted across solid-state sensors with varying microelectrode geometries. The electrode structures were covered with a Nafion membrane and included variations of the classic interdigitated microelectrode array in addition to a circular microelectrode array variation. Voltage sweeps were conducted while monitoring the devices’ sensing current responses across a 50.3 mmHg change in dissolved oxygen within a deionized aqueous solution. Half of the devices were identified as ultramicroelectrode designs that presented a greater dependence on electrode spacing and topology. The ultramicroelectrode-style (UME) interdigitated electrode (IDE) topology presented the greatest signal response at 25.24 nA/mmHg, an approximate eight-fold improvement in sensitivity from a non-UME variation with a sensitivity of 2.98 nA/mmHg. The design presented a linear response from 8.3 mmHg to 58.6 mmHg with r2 = 0.9743. The sensitivity improvement was attributed to the ultramicroelectrode structure’s amplifying diffusive feedback, which was enabled by the IDE topology and short electrode spacings. Full article
(This article belongs to the Special Issue Sensors for Brain Analytics)
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