Novel Multiparametric Bioelectronic Measurement System for Monitoring Virus-Induced Alterations in Functional Neuronal Networks DOI Creative Commons
Heinz‐Georg Jahnke,

Verena te Kamp,

Christoph Prönnecke

и другие.

Biosensors, Год журнала: 2024, Номер 14(6), С. 295 - 295

Опубликована: Июнь 5, 2024

Development and optimisation of bioelectronic monitoring techniques like microelectrode array-based field potential measurement impedance spectroscopy for the functional, label-free non-invasive in vitro neuronal networks is widely investigated biosensors. Thus, these were individually used to demonstrate capabilities of, e.g., detecting compound-induced toxicity culture models. In contrast, extended application investigating effects central nervous system infecting viruses are rarely described. this context, we wanted analyse effect herpesviruses on functional networks. Therefore, developed a unique hybrid platform that allows performing same microelectrode. first step, model based primary hippocampal cells from neonatal rats was established with reproducible stable synchronised electrophysiological network activity after 21 days cultivation arrays. For proof concept, pseudorabies virus PrV Kaplan-ΔgG-GFP applied monitored by 72 h multiparametric mode. Analysis several parameters revealed concentration-dependent degeneration within 24–48 h, significant early change activity, subsequently leading loss synchronicity. conclusion, successfully quantitative pathologic herpesvirus active

Язык: Английский

Editors’ Choice—Challenges and Opportunities for Developing Electrochemical Biosensors with Commercialization Potential in the Point-of-Care Diagnostics Market DOI Creative Commons
A. Akhlaghi, Harmanjit Kaur, Bal Ram Adhikari

и другие.

ECS Sensors Plus, Год журнала: 2024, Номер 3(1), С. 011601 - 011601

Опубликована: Март 1, 2024

There is a plethora of electrochemical biosensors developed for ultrasensitive detection clinically relevant biomarkers. However, many these systems lose their performance in heterogeneous clinical samples and are too complex to be operated by end users at the point-of-care (POC), prohibiting commercial success. Integration with sample processing technology addresses both challenges; however, it adds manufacturing complexity overall cost systems. Herein, we review different components biosensor avenues creating fully integrated In context integration, focus on discussing trade-offs between sensing performance, cost, scalable guide readers toward designing new commercialization potential.

Язык: Английский

Процитировано

35

Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications DOI Open Access

Răzvan Onciul,

Cătălina-Ioana Tătaru,

Adrian Dumitru

и другие.

Journal of Clinical Medicine, Год журнала: 2025, Номер 14(2), С. 550 - 550

Опубликована: Янв. 16, 2025

The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding the brain, unlocking new possibilities in research, diagnosis, therapy. This review explores how AI’s cutting-edge algorithms—ranging from deep learning to neuromorphic computing—are revolutionizing by enabling analysis complex neural datasets, neuroimaging electrophysiology genomic profiling. These advancements are transforming early detection neurological disorders, enhancing brain–computer interfaces, driving personalized medicine, paving way for more precise adaptive treatments. Beyond applications, itself has inspired AI innovations, with architectures brain-like processes shaping advances algorithms explainable models. bidirectional exchange fueled breakthroughs such as dynamic connectivity mapping, real-time decoding, closed-loop systems that adaptively respond states. However, challenges persist, including issues data integration, ethical considerations, “black-box” nature many systems, underscoring need transparent, equitable, interdisciplinary approaches. By synthesizing latest identifying future opportunities, this charts a path forward integration neuroscience. From harnessing multimodal cognitive augmentation, fusion these fields not just brain science, it reimagining human potential. partnership promises where mysteries unlocked, offering unprecedented healthcare, technology, beyond.

Язык: Английский

Процитировано

3

Beyond nature, nurture, and chance: Individual agency shapes divergent learning biographies and brain connectome DOI Creative Commons
Warsha Barde,

J. Renner,

Brett Addison Emery

и другие.

Science Advances, Год журнала: 2025, Номер 11(2)

Опубликована: Янв. 10, 2025

Individual choices shape life course trajectories of brain structure and function beyond genes environment. We hypothesized that individual task engagement in response to a learning program results individualized biographies connectomics. Genetically identical female mice living one large shared enclosure freely engaged self-paced, automatically administered monitored tasks. discovered growing increasingly stable interindividual differences trajectories. Adult hippocampal neurogenesis connectivity as assessed by high-density multielectrode array positively correlated with the variation exploration efficiency. During some tasks, divergence transiently collapsed, highlighting sustained significance context for individualization. Thus, equal environments do not result because confronts individuals lead divergent paths.

Язык: Английский

Процитировано

0

Novel high-dense microelectrode array based multimodal bioelectronic monitoring system for cardiac arrhythmia re-entry analysis DOI Creative Commons

Sabine Schmidt,

Wener Li, Mario Schubert

и другие.

Biosensors and Bioelectronics, Год журнала: 2024, Номер 252, С. 116120 - 116120

Опубликована: Фев. 14, 2024

In recent decades, significant progress has been made in the treatment of heart diseases, particularly field personalized medicine. Despite development genetic tests, phenotyping and risk stratification are performed based on clinical findings invasive vivo techniques, such as stimulation conduction mapping techniques programmed ventricular pacing. Consequently, label-free non-invasive vitro functional analysis systems urgently needed for more accurate effective stratification, model-based therapy planning, safety profile evaluation drugs. To overcome these limitations, a novel multilayer high-density microelectrode array (HD-MEA), with an optimized configuration 512 sensing 4 pacing electrodes sensor area 100 mm2, was developed bioelectronic detection re-entry arrhythmia patterns. Together co-developed front-end, we monitored parallel cardiac electrophysiology potential monitoring mechanical contraction using impedance spectroscopy at same microelectrode. proof principle experiments, human induced pluripotent stem cell-derived cardiomyocytes were cultured HD-MEAs used to demonstrate sensitive quantification strength modulation by cardioactive drugs blebbistatin (IC50 = 4.2 μM), omecamtiv levosimendan. Strikingly, arrhythmia-typical rotor patterns (re-entry) can be electrical sequences detected high spatial resolution. Therefore, provide system promising reference point diagnostic approaches assays patient-specific hiPS-derived cardiomyocytes.

Язык: Английский

Процитировано

3

Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array DOI Open Access
Brett Addison Emery, Shahrukh Khanzada, Xin Hu

и другие.

Journal of Visualized Experiments, Год журнала: 2024, Номер 205

Опубликована: Март 8, 2024

Large-scale neuronal networks and their complex distributed microcircuits are essential to generate perception, cognition, behavior that emerge from patterns of spatiotemporal activity. These dynamic emerging functional groups interconnected ensembles facilitate precise computations for processing coding multiscale neural information, thereby driving higher brain functions. To probe the computational principles dynamics underlying this complexity investigate impact biological processes in health disease, large-scale simultaneous recordings have become instrumental. Here, a high-density microelectrode array (HD-MEA) is employed study two modalities - hippocampal olfactory bulb circuits ex-vivo mouse slices in-vitro cell cultures human induced pluripotent stem cells (iPSCs). The HD-MEA platform, with 4096 microelectrodes, enables non-invasive, multi-site, label-free extracellular firing thousands simultaneously at high resolution. This approach allows characterization several electrophysiological network-wide features, including single/-multi-unit spiking activity local field potential oscillations. scrutinize these multidimensional data, we developed tools incorporating machine learning algorithms, automatic event detection classification, graph theory, other advanced analyses. By supplementing pipelines provide methodology studying large, multiscale, multimodal assemblies networks. can potentially advance our understanding functions cognitive disease. Commitment open science insights into could enhance brain-inspired modeling, neuromorphic computing, algorithms. Furthermore, mechanisms impaired microcircuit lead identification specific biomarkers, paving way more accurate diagnostic targeted therapies neurological disorders.

Язык: Английский

Процитировано

1

DENOISING: Dynamic enhancement and noise overcoming in multimodal neural observations via high-density CMOS-based biosensors DOI Creative Commons
Xin Hu, Brett Addison Emery, Shahrukh Khanzada

и другие.

Frontiers in Bioengineering and Biotechnology, Год журнала: 2024, Номер 12

Опубликована: Сен. 4, 2024

Large-scale multimodal neural recordings on high-density biosensing microelectrode arrays (HD-MEAs) offer unprecedented insights into the dynamic interactions and connectivity across various brain networks. However, fidelity of these is frequently compromised by pervasive noise, which obscures meaningful information complicates data analysis. To address this challenge, we introduce DENOISING, a versatile data-derived computational engine engineered to adjust thresholds adaptively based large-scale extracellular signal characteristics noise levels. This facilitates separation components without reliance specific transformations. Uniquely capable handling diverse array types (electrical, mechanical, environmental) multidimensional signals, including stationary non-stationary oscillatory local field potential (LFP) spiking activity, DENOISING presents an adaptable solution applicable different recording modalities Applying from mice hippocampal olfactory bulb networks yielded enhanced signal-to-noise ratio (SNR) LFP spike firing patterns compared those computed raw data. Comparative analysis with existing state-of-the-art denoising methods, employing SNR root mean square (RMS), underscores DENOISING's performance in improving quality reliability. Through experimental approaches, validate that improves clarity interpretation effectively mitigating independent spatiotemporally structured datasets, thus unlocking new dimensions understanding functional dynamics.

Язык: Английский

Процитировано

1

Balancing memory in sleep: firing barrages as a circuit breaker for reactivation DOI Creative Commons
Hayder Amin

Signal Transduction and Targeted Therapy, Год журнала: 2024, Номер 9(1)

Опубликована: Ноя. 22, 2024

Язык: Английский

Процитировано

1

Recent strategies for neural dynamics observation at a larger scale and wider scope DOI

Chang Hak Lee,

Young Kwon Park,

Kwang Lee

и другие.

Biosensors and Bioelectronics, Год журнала: 2023, Номер 240, С. 115638 - 115638

Опубликована: Авг. 25, 2023

Язык: Английский

Процитировано

3

JoVE Video Dataset DOI Open Access
Brett Addison Emery, Shahrukh Khanzada, Xin Hu

и другие.

Опубликована: Март 9, 2024

Large-scale neuronal networks and their complex distributed microcircuits are essential to generate perception, cognition, behavior that emerge from patterns of spatiotemporal activity. These dynamic emerging functional groups interconnected ensembles facilitate precise computations for processing coding multiscale neural information, thereby driving higher brain functions. To probe the computational principles dynamics underlying this complexity investigate impact biological processes in health disease, large-scale simultaneous recordings have become instrumental. Here, a high-density microelectrode array (HD-MEA) is employed study two modalities - hippocampal olfactory bulb circuits ex-vivo mouse slices in-vitro cell cultures human induced pluripotent stem cells (iPSCs). The HD-MEA platform, with 4096 microelectrodes, enables non-invasive, multi-site, label-free extracellular firing thousands simultaneously at high resolution. This approach allows characterization several electrophysiological network-wide features, including single/-multi-unit spiking activity local field potential oscillations. scrutinize these multidimensional data, we developed tools incorporating machine learning algorithms, automatic event detection classification, graph theory, other advanced analyses. By supplementing pipelines provide methodology studying large, multiscale, multimodal assemblies networks. can potentially advance our understanding functions cognitive disease. Commitment open science insights into could enhance brain-inspired modeling, neuromorphic computing, algorithms. Furthermore, mechanisms impaired microcircuit lead identification specific biomarkers, paving way more accurate diagnostic targeted therapies neurological disorders.

Язык: Английский

Процитировано

0

Assessment of chemotherapeutic effects on cancer cells using adhesion noise spectroscopy DOI Creative Commons
Maximilian Ell,

Mai Thu Bui,

Seyda Kigili

и другие.

Frontiers in Bioengineering and Biotechnology, Год журнала: 2024, Номер 12

Опубликована: Май 13, 2024

With cancer as one of the leading causes death worldwide, there is a need for development accurate, cost-effective, easy-to-use, and fast drug-testing assays. While NCI 60 cell-line screening gold standard based on colorimetric assay, monitoring cells electrically constitutes label-free non-invasive tool to assess cytotoxic effects chemotherapeutic treatment cells. For decades, impedance-based cellular assays extensively investigated various cell characteristics affected by drug but lack spatiotemporal resolution. progress in microelectrode fabrication, high-density Complementary Metal Oxide Semiconductor (CMOS)-based arrays (MEAs) with subcellular resolution time-continuous recording capability emerged potent alternative. In this article, we present new adhesion noise (CAN)-based electrical imaging technique expand CMOS MEA cell-biology applications: CAN spectroscopy enables quantification single-cell spatial The agent 5-Fluorouracil exerts effect colorectal (CRC) hampering proliferation lowering viability. proof-of-concept, found sufficient accuracy reproducibility compared commercially available biological assay. This label-free, non-invasive, complements standardized methods significant advances over established approaches.

Язык: Английский

Процитировано

0