Single-trial lie detection using a combined fNIRS-polygraph system DOI Creative Commons
M. Raheel Bhutta,

Melissa Jiyoun Hong,

Yun‐Hee Kim

et al.

Frontiers in Psychology, Journal Year: 2015, Volume and Issue: 6

Published: June 2, 2015

Deception is a human behavior that many people experience in daily life. It involves complex neuronal activities addition to several physiological changes the body. A polygraph, which can measure some of responses from body, has been widely employed lie-detection. Many researchers, however, believe lie detection become more precise if occur process deception be isolated and measured. In this study, we combine both measures (i.e., changes) for enhanced Specifically, investigate deception-related hemodynamic response, functional near-infrared spectroscopy (fNIRS) applied at prefrontal cortex besides commercially available polygraph system. mock crime scenario with single-trial stimulus set up as protocol. The acquired data are classified into "true" "lie" classes based on fNIRS-based hemoglobin-concentration polygraph-based signal changes. Linear discriminant analysis utilized classifier. results indicate combined fNIRS-polygraph system delivers much higher classification accuracy than singular This study demonstrates plausible solution toward lie-detection by combining fNIRS polygraph.

Language: Английский

The Berlin Brain-Computer Interface: Progress Beyond Communication and Control DOI Creative Commons
Benjamin Blankertz,

Laura Acqualagna,

Sven Dähne

et al.

Frontiers in Neuroscience, Journal Year: 2016, Volume and Issue: 10

Published: Nov. 21, 2016

The combined effect of fundamental results about neurocognitive processes and advancements in decoding mental states from ongoing brain signals has brought forth a whole range potential neurotechnological applications. In this article, we review our developments area put them into perspective. These examples cover wide maturity levels with respect to their applicability. While assume are still long way away integrating Brain-Computer Interface (BCI) technology general interaction computers, or implementing measures safety-critical workplaces, have already now been obtained involving BCI as research tool. discuss the reasons why, some prospective application domains, considerable effort is required make systems ready deal full complexity real world.

Language: Английский

Citations

198

Consumer Behaviour through the Eyes of Neurophysiological Measures: State-of-the-Art and Future Trends DOI Open Access
Patrizia Cherubino, Ana C. Martinez-Levy, Myriam Caratù

et al.

Computational Intelligence and Neuroscience, Journal Year: 2019, Volume and Issue: 2019, P. 1 - 41

Published: Sept. 18, 2019

The new technological advances achieved during the last decade allowed scientific community to investigate and employ neurophysiological measures not only for research purposes but also study of human behaviour in real daily life situations. aim this review is understand how whether neuroscientific technologies can be effectively employed better decision-making contexts. To do so, firstly, we will describe historical development neuromarketing its main applications assessing sensory perceptions some marketing advertising stimuli. Then, tools available such kind investigations (e.g., measuring cerebral electrical or hemodynamic activity, eye movements, psychometric responses). Also, present different brain measurement techniques, along with their pros cons, indexes linked specific mental states interest (used most research). Such have been supported by adequate validations from are largely research. This discuss a series papers that applications, us in-store choices retail, services, pricing, brand perception, web usability, neuropolitics, evaluation food wine taste, aesthetic perception artworks. Furthermore, work face ethical issues arisen on use these tasks. In conclusion, challenges going face, as well future directions possible scenarios could derived neuroscience field, identified discussed.

Language: Английский

Citations

160

Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states DOI
Alexander E. Hramov, Vladimir Maksimenko, Alexander N. Pisarchik

et al.

Physics Reports, Journal Year: 2021, Volume and Issue: 918, P. 1 - 133

Published: March 24, 2021

Language: Английский

Citations

155

Mobile cognition: imaging the human brain in the ‘real world’ DOI
Matthias Stangl, Sabrina L. Maoz, Nanthia Suthana

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(6), P. 347 - 362

Published: April 12, 2023

Language: Английский

Citations

99

fNIRS in the developmental sciences DOI
Teresa Wilcox, Marisa Biondi

Wiley Interdisciplinary Reviews Cognitive Science, Journal Year: 2015, Volume and Issue: 6(3), P. 263 - 283

Published: Feb. 23, 2015

Abstract With the introduction of functional near‐infrared spectroscopy ( fNIRS ) into experimental setting, developmental scientists have, for first time, capacity to investigate activation infant brain in awake, engaged participants. The advantages clearly outweigh limitations, and a description how this technology is implemented populations provided. Most research falls one three content domains: object processing, processing biologically socially relevant information, language development. Within these domains, there are ongoing debates about origins development human knowledge, making early neuroimaging particularly advantageous. use has allowed investigators begin identify localization object, social, linguistic knowledge immature ways which changes with time experience. In addition, small but growing body that provides insight neural mechanisms support facilitate learning during year life. At same as any emerging field, limitations conclusions can be drawn on basis current findings. We offer suggestions optimize answer questions theoretical practical importance scientists. WIREs Cogn Sci 2015, 6:263–283. doi: 10.1002/wcs.1343 This article categorized under: Psychology > Development Aging Neuroscience Cognition

Language: Английский

Citations

178

Imaging Brain Function with Functional Near-Infrared Spectroscopy in Unconstrained Environments DOI Creative Commons
Joana Bisol Balardin, Guilherme Augusto Zimeo Morais,

Rogério Akira Furucho

et al.

Frontiers in Human Neuroscience, Journal Year: 2017, Volume and Issue: 11

Published: May 17, 2017

Assessing the neural correlates of motor and cognitive processes under naturalistic experimentation is challenging due to movement constraints traditional brain imaging technologies. The recent advent portable technologies that are less sensitive motion artifacts such as Functional Near Infrared Spectroscopy (fNIRS) have been made possible study function in freely-moving participants. In this paper, we describe a series proof-of-concept experiments examining potential fNIRS assessing unconstrained environments. We show illustrative applications for practicing sport (i.e., table tennis), playing musical instrument piano violin) alone or duo performing daily activities many hours continuous monitoring). Our results expand upon previous research on feasibility robustness monitor hemodynamic changes different real life settings. believe these preliminary showing flexibility measurements may contribute by inspiring future work field applied neuroscience.

Language: Английский

Citations

165

Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach DOI Creative Commons
Simon Ladouce, D. Donaldson, Paul A. Dudchenko

et al.

Frontiers in Human Neuroscience, Journal Year: 2017, Volume and Issue: 10

Published: Jan. 12, 2017

There is a growing body of evidence that important aspects human cognition have been marginalised, or overlooked, by traditional cognitive science. In particular, the use laboratory-based experiments in which stimuli are artificial, and response options fixed, inevitably results findings less ecologically valid relation to real-world behaviour. present review we highlight opportunities provided range new mobile technologies allow traditionally lab-bound measurements now be collected during natural interactions with world. We begin outlining theoretical support approaches receive from development embodied accounts cognition, widening illustrates importance examining processes their context. As acknowledge, practice, brings it fresh challenges, will undoubtedly require innovation paradigm design analysis. If successful, however, approach offer novel insights areas, including understanding underlying navigation through space role attention argue offers both increased ecological validity, opportunity examine between perception, action – rather than each isolation.

Language: Английский

Citations

157

Multi-Modal Sensing Techniques for Interfacing Hand Prostheses: A Review DOI
Yinfeng Fang,

Nalinda Hettiarachchi,

Dalin Zhou

et al.

IEEE Sensors Journal, Journal Year: 2015, Volume and Issue: 15(11), P. 6065 - 6076

Published: July 29, 2015

This paper provides a comprehensive survey of current state the bio-sensing technologies focusing on hand motion capturing and its application to interfacing prostheses. These sensing techniques include electromyography, sonomyography, mechnomyography, electroneurography, electroencephalograhy, electrocorticography, intracortical neural interfaces, near infrared spectroscopy, magnetoencephalography, functional magnetic resonance imaging. Relevant approaches that interpret bio-signals in view prosthetic manipulation are discussed as well. Multi-modal sensory fusion new strategy this area, latest multi-modal surveyed. also outlines challenges directions: 1) exploration robust technology; 2) fusion; 3) online signal processing learning algorithms; 4) bio-feedbacks.

Language: Английский

Citations

154

fNIRS response during walking — Artefact or cortical activity? A systematic review DOI
Rodrigo Vitório, Samuel Stuart, Lynn Rochester

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2017, Volume and Issue: 83, P. 160 - 172

Published: Oct. 12, 2017

Language: Английский

Citations

145

Signal Processing in Functional Near-Infrared Spectroscopy (fNIRS): Methodological Differences Lead to Different Statistical Results DOI Creative Commons

Mischa D. Pfeifer,

Felix Scholkmann, Rob Labruyère

et al.

Frontiers in Human Neuroscience, Journal Year: 2018, Volume and Issue: 11

Published: Jan. 8, 2018

Even though research in the field of functional near-infrared spectroscopy (fNIRS) is being conducted for more than 20 years, a consensus on signal processing methods still lacking. A significant knowledge gap exists between established researchers and those newly entering field. One major issue regularly observed publications from new this neglect possible contamination by hemodynamic changes unrelated to neurovascular coupling (i.e. scalp blood flow systemic flow). This might be due fact that these use with tools provided manufacturers their devices without an advanced understanding performed steps. The aim present study was investigate how different approaches (including excluding partially correct contamination) affect results typical neuroimaging fNIRS. In particular, we evaluated one standard method commercial company compared it three customized investigated influence chosen statistical outcome clinical data set (task-evoked motor cortex activity). No short-channels were used therefore two types multi-channel corrections based multiple long-channels applied. choice had considerable study. While ignored fNIRS signals task-evoked physiological noise yielded several responses over whole head, significance findings disappeared when accounting using regression. We conclude that, lacking possibility applying multi-distance measurements, adoption confounding effect, yield realistic results. Furthermore, do not recommend as having every step.

Language: Английский

Citations

141