Highly conformal, ultrathin, robust Au@AgNWs/PVDF epidermal electrodes for electrophysiological signals recording

2021 ◽  
Author(s):  
Jin Lin ◽  
Wenjie Tang ◽  
Yuxuan Zhou ◽  
Benhui Hu
Keyword(s):  
Electrophysiological Signals

Delamination-Resistant Imperceptible Bioelectrode for Robust Electrophysiological Signals Monitoring

2021 ◽  
pp. 1385-1393
Author(s):  
Wenjie Tang ◽  
Yuxuan Zhou ◽  
Shisheng Chen ◽  
Shancheng Yu ◽  
Yizhuo Yang ◽  
...  
Keyword(s):  
Electrophysiological Signals

scholarly journals Functionalization Strategies of PEDOT and PEDOT:PSS Films for Organic Bioelectronics Applications

Chemosensors ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 212
Author(s):  
Gonzalo E. Fenoy ◽  
Omar Azzaroni ◽  
Wolfgang Knoll ◽  
Waldemar A. Marmisollé
Keyword(s):  
Small Molecules ◽  
Conducting Polymer ◽  
Organic Semiconductors ◽  
Synthesis Method ◽  
Polymer Synthesis ◽  
Preparation Methods ◽  
Electrophysiological Signals ◽  
Organic Bioelectronics ◽  
Biological Interfaces ◽  
Living Organisms

Organic bioelectronics involves the connection of organic semiconductors with living organisms, organs, tissues, cells, membranes, proteins, and even small molecules. In recent years, this field has received great interest due to the development of all kinds of devices architectures, enabling the detection of several relevant biomarkers, the stimulation and sensing of cells and tissues, and the recording of electrophysiological signals, among others. In this review, we discuss recent functionalization approaches for PEDOT and PEDOT:PSS films with the aim of integrating biomolecules for the fabrication of bioelectronics platforms. As the choice of the strategy is determined by the conducting polymer synthesis method, initially PEDOT and PEDOT:PSS films preparation methods are presented. Later, a wide variety of PEDOT functionalization approaches are discussed, together with bioconjugation techniques to develop efficient organic-biological interfaces. Finally, and by making use of these approaches, the fabrication of different platforms towards organic bioelectronics devices is reviewed.

scholarly journals Dynamic relationships between spontaneous and evoked electrophysiological activity

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Soren Wainio-Theberge ◽  
Annemarie Wolff ◽  
Georg Northoff
Keyword(s):  
Neural Activity ◽  
Large Scale ◽  
Behavioral Outcomes ◽  
Low Frequencies ◽  
Scale Free ◽  
Non Invasive ◽  
Spontaneous Neural Activity ◽  
Electrophysiological Signals ◽  
Evoked Activity ◽  
Dynamic Relationships

AbstractSpontaneous neural activity fluctuations have been shown to influence trial-by-trial variation in perceptual, cognitive, and behavioral outcomes. However, the complex electrophysiological mechanisms by which these fluctuations shape stimulus-evoked neural activity remain largely to be explored. Employing a large-scale magnetoencephalographic dataset and an electroencephalographic replication dataset, we investigate the relationship between spontaneous and evoked neural activity across a range of electrophysiological variables. We observe that for high-frequency activity, high pre-stimulus amplitudes lead to greater evoked desynchronization, while for low frequencies, high pre-stimulus amplitudes induce larger degrees of event-related synchronization. We further decompose electrophysiological power into oscillatory and scale-free components, demonstrating different patterns of spontaneous-evoked correlation for each component. Finally, we find correlations between spontaneous and evoked time-domain electrophysiological signals. Overall, we demonstrate that the dynamics of multiple electrophysiological variables exhibit distinct relationships between their spontaneous and evoked activity, a result which carries implications for experimental design and analysis in non-invasive electrophysiology.

scholarly journals Preventive and Curative Personality Profiling Based on EEG, ERP, and Big Five Personality Traits: A Literature Review

2020 ◽  
Vol 17 (2) ◽  
pp. 531-545
Author(s):  
Cut Amalia Saffiera ◽  
Raini Hassan ◽  
Amelia Ritahani Ismail
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Experimental Design ◽  
Personality Traits ◽  
Big Five ◽  
Healthy Lifestyle ◽  
Big Five Personality Traits ◽  
Event Related Potential ◽  
Big Five Personality ◽  
Electrophysiological Signals

Healthy lifestyle is a significant factor that impacts on the budget for medicine. According to psychological studies, personality traits based on the Big Five personality traits especially the neuroticism and conscientiousness, have the ability to predict healthy lifestyle profiling. Electrophysiological signals have been used to explore the nature of individual differences and personality that are related to perception. In this paper, we reviewed studies examining healthy lifestyle profile i.e., preventive and curative using electroencephalography (EEG) and event-related potential (ERP) signals. This study proposed a general experimental model by reviewing the literature to build suitable experimental design for implementing artificial intelligence techniques based on the machine learning.

PINPOINT SOURCE LOCALIZATION FOR OCULAR NONSELECTIVE ATTENTION WITH COMBINATION OF ERP AND fNIRI MEASUREMENTS

2008 ◽  
Vol 01 (02) ◽  
pp. 195-206 ◽  
Author(s):  
TING LI ◽  
LI LI ◽  
PENG DU ◽  
QINGMING LUO ◽  
HUI GONG
Keyword(s):  
Near Infrared ◽  
Infrared Imaging ◽  
Brain Activity ◽  
Event Related Potential ◽  
Reliable Technique ◽  
Brain Mechanism ◽  
Electrophysiological Signals ◽  
Series Of Experiments ◽  
A New Technique ◽  
Hemodynamic Information

Compared with event-related potential (ERP) which is widely used in psychology research, functional near-infrared imaging (fNIRI) is a new technique providing hemodynamic information related to brain activity, except for electrophysiological signals. Here, we use both these techniques to study ocular attention. We conducted a series of experiments with a classic paradigm of ocular nonselective attention, and monitored responses with fNIRI and ERP respectively. The results showed that fNIRI measured brain activations in the left prefrontal lobe, while ERPs showed activation in frontal lobe. More importantly, only with the combination measurements of fNIRI and ERP, we were then able to find the pinpoint source of ocular nonselective attention, which is in the left and upper corner in Brodmann area 10. These results demonstrated that fNIRI is a reliable technique in psychology, and the combination of fNIRI and ERP can be promising to reveal more information in the research of brain mechanism.

scholarly journals Electrophysiological and Transcriptomic Features Reveal a Circular Taxonomy of Cortical Neurons

2021 ◽  
Vol 15 ◽  
Author(s):  
Alejandro Rodríguez-Collado ◽  
Cristina Rueda
Keyword(s):  
Cortical Neurons ◽  
Cell Types ◽  
Mammalian Brain ◽  
Neuronal Dynamics ◽  
Electrophysiological Signals ◽  
Visual Cortex Neurons ◽  
Line Level ◽  
Mouse Visual Cortex ◽  
Different Levels

The complete understanding of the mammalian brain requires exact knowledge of the function of each neuron subpopulation composing its parts. To achieve this goal, an exhaustive, precise, reproducible, and robust neuronal taxonomy should be defined. In this paper, a new circular taxonomy based on transcriptomic features and novel electrophysiological features is proposed. The approach is validated by analysing more than 1850 electrophysiological signals of different mouse visual cortex neurons proceeding from the Allen Cell Types database. The study is conducted on two different levels: neurons and their cell-type aggregation into Cre lines. At the neuronal level, electrophysiological features have been extracted with a promising model that has already proved its worth in neuronal dynamics. At the Cre line level, electrophysiological and transcriptomic features are joined on cell types with available genetic information. A taxonomy with a circular order is revealed by a simple transformation of the first two principal components that allow the characterization of the different Cre lines. Moreover, the proposed methodology locates other Cre lines in the taxonomy that do not have transcriptomic features available. Finally, the taxonomy is validated by Machine Learning methods which are able to discriminate the different neuron types with the proposed electrophysiological features.

scholarly journals Electrophysiological and Transcriptomic Features Reveal a Circular Taxonomy of Cortical Neurons

2021 ◽  
Author(s):  
Alejandro Rodríguez-Collado ◽  
Cristina Rueda
Keyword(s):  
Cortical Neurons ◽  
Cell Types ◽  
Mammalian Brain ◽  
Neuronal Dynamics ◽  
Electrophysiological Signals ◽  
Visual Cortex Neurons ◽  
Line Level ◽  
Mouse Visual Cortex ◽  
Different Levels

The complete understanding of the mammalian brain requires exact knowledge of the function of each of the neurons composing its parts. To achieve this goal, an exhaustive, precise, reproducible, and robust neuronal taxonomy should be defined. In this paper, a new circular taxonomy based on transcriptomic features and novel electrophysiological features is proposed. The approach is validated by analysing more than 1850 electrophysiological signals of different mouse visual cortex neurons proceeding from the Allen Cell Types Database. The study is conducted on two different levels: neurons and their cell-type aggregation into Cre Lines. At the neuronal level, electrophysiological features have been extracted with a promising model that has already proved its worth in neuronal dynamics. At the Cre Line level, electrophysiological and transcriptomic features are joined on cell types with available genetic information. A taxonomy with a circular order is revealed by a simple transformation of the first two principal components that allow the characterization of the different Cre Lines. Moreover, the proposed methodology locates other Cre Lines in the taxonomy that do not have transcriptomic features available. Finally, the taxonomy is validated by Machine Learning methods which are able to discriminate the different neuron types with the proposed electrophysiological features.

Mechanics of Interfacial Delamination in Epidermal Electronics Systems

2013 ◽  
Vol 81 (4) ◽  
Author(s):  
Huanyu Cheng ◽  
Shuodao Wang
Keyword(s):  
Skin Surface ◽  
External Loading ◽  
Initial Contact ◽  
Intimate Contact ◽  
Interfacial Delamination ◽  
Future Design ◽  
Device Optimization ◽  
Electrophysiological Signals ◽  
Induced Changes ◽  
Epidermal Electronics

In order to provide continuous diagnostic and therapeutic options that exploit electrophysiological signals from the epidermis, this study discusses epidermal electronics systems (EES) that conform to the skin surface via van der Waals force alone, which is otherwise susceptible to artifacts associated with motion-induced changes. This paper not only establishes a criterion of conformal contact between the EES and the skin for both initial contact and the case where the skin is subject to external loading but also investigates the criterion to prevent any partial delamination between electronics and the skin. These results improve the performance of EES by maximizing intimate contact between the EES and skin, revealing important underlying physical insights for device optimization and future design.

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