Mackenna Hill

ORCID: 0000-0003-4417-3723
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About
Contact & Profiles
Research Areas
  • Neuroscience and Neural Engineering
  • Advanced Sensor and Energy Harvesting Materials
  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • EEG and Brain-Computer Interfaces
  • Conducting polymers and applications
  • Photoreceptor and optogenetics research
  • Perfectionism, Procrastination, Anxiety Studies
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Mental Health Research Topics

Duke University
2018-2023

University of Michigan
2018

Flexible biocompatible electronic systems that leverage key materials and manufacturing techniques associated with the consumer electronics industry have potential for broad applications in biomedicine biological research. This study reports scalable approaches to technologies of this type, where thin microscale device components integrate onto flexible polymer substrates interconnected arrays provide multimodal, high performance operational capabilities as intimately coupled biointerfaces....

10.1073/pnas.1907697116 article EN Proceedings of the National Academy of Sciences 2019-07-15

Abstract Techniques to study brain activities have evolved dramatically, yet tremendous challenges remain in acquiring high-throughput electrophysiological recordings minimally invasively. Here, we develop an integrated neuroelectronic array that is filamentary, high-density and flexible. Specifically, with a design of single-transistor multiplexing current sensing, the total 256 neuroelectrodes achieve only 2.3 × 0.3 mm 2 area, unprecedentedly on flexible substrate. A acquisition circuit...

10.1038/s41528-023-00271-2 article EN cc-by npj Flexible Electronics 2023-08-22

Significance A critical challenge for flexible biomedical implants is in the development of materials and structures that enable intimate coupling to biotissues with long-term stability. The results presented here address this problem through a integration strategy combines highly doped silicon nanomembranes chemically bonded thin films thermal dioxide construct simultaneously serves as biofluid barrier conductively coupled biointerface. Use approach various electronic systems, including...

10.1073/pnas.1813187115 article EN Proceedings of the National Academy of Sciences 2018-09-18

Objective. To date, many brain-machine interface (BMI) studies have developed decoding algorithms for neuroprostheses that provide users with precise control of upper arm reaches some limited grasping capabilities. However, comparatively few focused on quantifying the performance finger control. Here we expand upon this work by investigating online individual groups. Approach. We a novel training manipulandum non-human primate (NHP) to isolate movements two specific groups: index and...

10.3389/fnins.2018.00751 article EN cc-by Frontiers in Neuroscience 2018-11-05

Abstract Bioimplants that incorporate active electronic components at the tissue interface rely critically on materials are biocompatible, impermeable to biofluids, and capable of intimate electrical coupling for high‐quality, chronically stable operation in vivo. This study reports a strategy combines silicon nanomembranes, thermally grown layers SiO 2 ultrathin capping structures with high dielectric constants as basis flexible implantable electronics performance capabilities...

10.1002/admt.201900800 article EN Advanced Materials Technologies 2019-11-29

Objective. Neural recording is important for a wide variety of clinical applications. Until recently, from the surface brain, even when using micro-electrocorticography (μECoG) arrays, was not thought to enable individual neurons. Recent results suggest that electrode contact size sufficiently small, it may be possible record single neurons brain's surface. In this study, we use computational techniques investigate ability electrodes activity Approach. The model included rat head, μECoG...

10.1088/1741-2552/aacdb8 article EN Journal of Neural Engineering 2018-06-20
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