Negar Geramifard

Dr. Negar Geramifard

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 April 2022 in Journal of Neural Engineering
Verified
Journal Article
Open access
NGNegar Geramifard
Negar Geramifard
BDBehnoush Dousti
Behnoush Dousti
CNChristopher K. Nguyen
Christopher K. Nguyen
JAJustin Abbott
Justin Abbott
SCStuart Cogan
Stuart Cogan
VVVictor D Varner
Victor D Varner
Objective . Trauma induced by the insertion of microelectrodes into cortical neural tissue is a significant problem. Further, micromotion and mechanical mismatch between microelectrode probes and neural tissue is implicated in an adverse foreign body response (FBR). Hence, intracortical ultra-microelectrode probes have been proposed as alternatives that minimize this FBR. However, significant challenges in implanting these flexible probes remain. We investigated the insertion mechanics of amorphous silicon carbide (a-SiC) probes with a view to defining probe geometries that can be inserted into cortex without buckling. Approach . We determined the critical buckling force of a-SiC probes as a function of probe geometry and then characterized the buckling behavior of these probes by measuring force–displacement responses during insertion into agarose gel and rat cortex. Main results. Insertion forces for a range of probe geometries were determined and compared with critical buckling forces to establish geometries that should avoid buckling during implantation into brain. The studies show that slower insertion speeds reduce the maximum insertion force for single-shank probes but increase cortical dimpling during insertion of multi-shank probes. Significance. Our results provide a guide for selecting probe geometries and insertion speeds that allow unaided implantation of probes into rat cortex. The design approach is applicable to other animal models where insertion of intracortical probes to a depth of 2 mm is required.

1 February 2022 in Journal of Power Sources
Verified
Journal Article
Closed access
BDB. Dousti
B. Dousti
SBS. Babu
S. Babu
NGNegar Geramifard
Negar Geramifard
Myong Yong ChoiMyong Yong Choi
Myong Yong Choi
Jeong Bong (JB) LeeJeong Bong (JB) Lee
Jeong Bong (JB) Lee
GLG.S. Lee
G.S. Lee

8 October 2022 in Micromachines
Verified
Journal Article
Open access
PDF file
NGNegar Geramifard
Negar Geramifard
JLjennifer lawson
jennifer lawson
SCStuart Cogan
Stuart Cogan
BBBryan James Black
Bryan James Black
Recent advances in cell and tissue engineering have enabled long-term three-dimensional (3D) in vitro cultures of human-derived neuronal tissues. Analogous two-dimensional (2D) tissue cultures have been used for decades in combination with substrate integrated microelectrode arrays (MEA) for pharmacological and toxicological assessments. While the phenotypic and cytoarchitectural arguments for 3D culture are clear, 3D MEA technologies are presently inadequate. This is mostly due to the technical challenge of creating vertical electrical conduction paths (or ‘traces’) using standardized biocompatible materials and fabrication techniques. Here, we have circumvented that challenge by designing and fabricating a novel helical 3D MEA comprised of polyimide, amorphous silicon carbide (a-SiC), gold/titanium, and sputtered iridium oxide films (SIROF). Electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV) testing confirmed fully-fabricated MEAs should be capable of recording extracellular action potentials (EAPs) with high signal-to-noise ratios (SNR). We then seeded induced pluripotent stems cell (iPSC) sensory neurons (SNs) in a 3D collagen-based hydrogel integrated with the helical MEAs and recorded EAPs for up to 28 days in vitro from across the MEA volume. Importantly, this highly adaptable design does not intrinsically limit cell/tissue type, channel count, height, or total volume.

1 December 2025 in Journal of Neural Engineering
Verified
Journal Article
Open access
CNChristopher K. Nguyen
Christopher K. Nguyen
NGNegar Geramifard
Negar Geramifard
YWYupeng Wu
Yupeng Wu
MBMadhav Bhatt
Madhav Bhatt
Alexandra Joshi-ImreAlexandra Joshi-Imre
Alexandra Joshi-Imre
SCStuart Cogan
Stuart Cogan
Objective . Chronically implanted microelectrode arrays (MEAs) are used for stimulating and recording neural activity in research and clinical settings. However, their reliability can be compromised by insufficient encapsulation stability. Amorphous silicon carbide (a-SiC), a chemically stable and biocompatible material, has emerged as a potential thin-film encapsulation for MEAs. We aimed to evaluate thin-film a-SiC encapsulation using electrical-accelerated aging (EAA) and to demonstrate a methodology for obtaining acceleration factors for EAA by Weibull analysis. Approach . Interdigitated electrodes (IDEs) encapsulated with a-SiC were subjected to voltage cycling and stepped-voltage protocols to measure leakage currents in buffered saline at 37 °C. EAA employed incrementally increasing voltage biases over time to induce degradation and reveal failure mechanisms. Main results . IDEs exhibited a significant change in electrical behavior on exposure to saline, with failure initiating at specific voltages and accompanied by gas evolution at defect sites. Incremental voltage biasing revealed a capacitive-to-faradaic transition in leakage current response that was used as a failure criterion. Significance . Acceleration factors for voltage-driven accelerated aging of a-SiC thin-film encapsulation can be obtained by Weibull analysis using a mechanistic failure criterion. Breakdown occurs at processing-related defects in the a-SiC. This study demonstrates the use of EAA for evaluating failure in a-SiC thin-film encapsulation used in implantable MEAs. EAA is broadly applicable to thin-film MEAs and provides a highly relevant method of predicting implanted lifetimes of bioelectronics.

29 November 2022 in Scientific Reports
Verified
Journal Article
Open access
PDF file
ADAksharkumar Dobariya
Aksharkumar Dobariya
TATarek Y. El Ahmadieh
Tarek Y. El Ahmadieh
LGLevi B. Good
Levi B. Good
AHAna G. Hernandez-Reynoso
Ana G. Hernandez-Reynoso
VJVikram Jakkamsetti
Vikram Jakkamsetti
JPJuan M. Pascual
Juan M. Pascual