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Age-related differences in auditory spatial processing revealed by acoustic change complex Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-12 Xing Wang, Shuai Nie, Yining Wen, Zihui Zhao, Jiaying Li, Ningyu Wang, Juan Zhang
ObjectivesThe auditory spatial processing abilities mature throughout childhood and degenerate in older adults. This study aimed to compare the differences in onset cortical auditory evoked potentials (CAEPs) and location-evoked acoustic change complex (ACC) responses among children, adults, and the elderly and to investigate the impact of aging and development on ACC responses.DesignOne hundred and
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Brain-computer interfaces and human factors: the role of language and cultural differences—Still a missing gap? Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-11 Cornelia Herbert
Brain-computer interfaces (BCIs) aim at the non-invasive investigation of brain activity for supporting communication and interaction of the users with their environment by means of brain-machine assisted technologies. Despite technological progress and promising research aimed at understanding the influence of human factors on BCI effectiveness, some topics still remain unexplored. The aim of this
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Prototype theory and the importance of literary form for moral imagination Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-11 Yi Zheng
Prototype theory, which argues that categories have graded (and thus fuzzy) membership based on prototypes, has been used as cognitive evidence to support moral particularism because if categories (in moral rules) only have fuzzy conceptual boundaries, moral rules are not enough for moral judgment, as specific situations also need to be considered to determine how these fuzzy categories should be understood
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Roger Sperry, the maverick brain scientist who was haunted by psyche Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-11 Giovanni Berlucchi, Carlo Alberto Marzi
This paper describes the scientific figure of Roger Sperry as a maverick researcher, an original thinker who arrived at definitive notions about the working of the brain mostly by distancing himself from the prevalent views of his peers. After solving the riddle of the functions of the corpus callosum, he won a Nobel prize in physiology or medicine for identifying the different cognitive abilities
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Sex and age effects on gray matter volume trajectories in young children with prenatal alcohol exposure Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-10 Madison Long, Preeti Kar, Nils D. Forkert, Bennett A. Landman, W. Ben Gibbard, Christina Tortorelli, Carly A. McMorris, Yuankai Huo, Catherine A. Lebel
Prenatal alcohol exposure (PAE) occurs in ~11% of North American pregnancies and is the most common known cause of neurodevelopmental disabilities such as fetal alcohol spectrum disorder (FASD; ~2–5% prevalence). PAE has been consistently associated with smaller gray matter volumes in children, adolescents, and adults. A small number of longitudinal studies show altered gray matter development trajectories
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Modeling the volume of tissue activated in deep brain stimulation and its clinical influence: a review Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-10 Erin E. Patrick, Chance R. Fleeting, Drashti R. Patel, Jed T. Casauay, Aashay Patel, Hunter Shepherd, Joshua K. Wong
Deep brain stimulation (DBS) is a neuromodulatory therapy that has been FDA approved for the treatment of various disorders, including but not limited to, movement disorders (e.g., Parkinson’s disease and essential tremor), epilepsy, and obsessive-compulsive disorder. Computational methods for estimating the volume of tissue activated (VTA), coupled with brain imaging techniques, form the basis of
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A pilot study on AI-driven approaches for classification of mental health disorders Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-10 Naman Dhariwal, Nidhi Sengupta, M. Madiajagan, Kiran Kumar Patro, P. Lalitha Kumari, Nagwan Abdel Samee, Ryszard Tadeusiewicz, Paweł Pławiak, Allam Jaya Prakash
The increasing prevalence of mental disorders among youth worldwide is one of society's most pressing issues. The proposed methodology introduces an artificial intelligence-based approach for comprehending and analyzing the prevalence of neurological disorders. This work draws upon the analysis of the Cities Health Initiative dataset. It employs advanced machine learning and deep learning techniques
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Brain functional connectivity correlates of anomalous interaction between sensorily isolated monozygotic twins Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-10 Richard B. Silberstein, Felicity J. Bigelow
This study examined brain functional connectivity (FC) changes associated with possible anomalous interactions between sensorily isolated monozygotic (MZ) twins. Brain FC was estimated using the Steady State Visual Evoked Potential-Event Related Partial Coherence (SSVEP-ERPC) methodology. Five twin pairs served twice as participants, with an average interval between sessions of 67 days. In each recording
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Gabor filter-based statistical features for ADHD detection Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-10 E. Sathiya, T. D. Rao, T. Sunil Kumar
Attention deficit/hyperactivity disorder (ADHD) is a neuropsychological disorder that occurs in children and is characterized by inattention, impulsivity, and hyperactivity. Early and accurate diagnosis of ADHD is very important for effective intervention. The aim of this study is to develop a computer-aided approach to detecting ADHD using electroencephalogram (EEG) signals. Specifically, we explore
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Roadside experiences of parents of children with developmental coordination disorder and/or attention deficit hyperactivity disorder Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-10 Rayan Falemban, Kate Wilmut, Heather Hurst, Catherine Purcell
IntroductionPedestrians are a vulnerable group at the roadside and previous research has identified that children with DCD and ADHD are at a heightened risk of pedestrian injuries. Despite this, limited research has explored parental perspectives of the pedestrian risks faced by children with DCD and/or ADHD. Understanding parents’ perspectives provides a unique insight into the challenges children
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Self supervised learning based emotion recognition using physiological signals Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-09 Min Zhang, YanLi Cui
IntroductionThe significant role of emotional recognition in the field of human-machine interaction has garnered the attention of many researchers. Emotion recognition based on physiological signals can objectively reflect the most authentic emotional states of humans. However, existing labeled Electroencephalogram (EEG) datasets are often of small scale.MethodsIn practical scenarios, a large number
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Neuroanatomical correlates of gross manual dexterity in children with unilateral spastic cerebral palsy Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-09 Elena Beani, Veronica Barzacchi, Elena Scaffei, Beatrice Ceragioli, Fabrizia Festante, Silvia Filogna, Giovanni Cioni, Simona Fiori, Giuseppina Sgandurra
Unilateral spastic Cerebral Palsy (UCP) results from congenital brain injury, and Magnetic Resonance Imaging (MRI) has a role in understanding the etiology and severity of brain insult. In UCP, functional impairment predominantly occurs in the upper limb (UL) of the more affected side, where manual ability and dexterity are typically reduced. Also, mirror movements (MMs), are often present in UCP,
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A neuro-cognitive model of comprehension based on prediction and unification Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-09 Philippe Blache
Most architectures and models of language processing have been built upon a restricted view of language, which is limited to sentence processing. These approaches fail to capture one primordial characteristic: efficiency. Many facilitation effects are known to be at play in natural situations such as conversation (shallow processing, no real access to the lexicon, etc.) without any impact on the comprehension
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Inconclusive results of slow cortical potential neurofeedback for the treatment of chronic post-stroke attention deficits Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-05
IntroductionIndividuals who have suffered a stroke may experience long-lasting cognitive impairments that can worsen if left untreated. We investigated whether voluntary control of slow cortical potentials (SCP) through neurofeedback would help alleviate chronic post-stroke symptoms of impaired attention.MethodsThe study initially enrolled twenty-eight participants, but due to a high drop-out rate
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Decoding kinematic information from beta-band motor rhythms of speech motor cortex: a methodological/analytic approach using concurrent speech movement tracking and magnetoencephalography Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-05
IntroductionArticulography and functional neuroimaging are two major tools for studying the neurobiology of speech production. Until now, however, it has generally not been feasible to use both in the same experimental setup because of technical incompatibilities between the two methodologies.MethodsHere we describe results from a novel articulography system dubbed Magneto-articulography for the Assessment
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Early altered directionality of resting brain network state transitions in the TgF344-AD rat model of Alzheimer's disease Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-05
IntroductionAlzheimer's disease (AD) is a progressive neurodegenerative disease resulting in memory loss and cognitive decline. Synaptic dysfunction is an early hallmark of the disease whose effects on whole-brain functional architecture can be identified using resting-state functional MRI (rsfMRI). Insights into mechanisms of early, whole-brain network alterations can help our understanding of the
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Early altered directionality of resting brain network state transitions in the TgF344-AD rat model of Alzheimer's disease Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-05 Sam De Waegenaere, Monica van den Berg, Georgios A. Keliris, Mohit H. Adhikari, Marleen Verhoye
IntroductionAlzheimer's disease (AD) is a progressive neurodegenerative disease resulting in memory loss and cognitive decline. Synaptic dysfunction is an early hallmark of the disease whose effects on whole-brain functional architecture can be identified using resting-state functional MRI (rsfMRI). Insights into mechanisms of early, whole-brain network alterations can help our understanding of the
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Inconclusive results of slow cortical potential neurofeedback for the treatment of chronic post-stroke attention deficits Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-05 Sonja C. Kleih, Loic Botrel
IntroductionIndividuals who have suffered a stroke may experience long-lasting cognitive impairments that can worsen if left untreated. We investigated whether voluntary control of slow cortical potentials (SCP) through neurofeedback would help alleviate chronic post-stroke symptoms of impaired attention.MethodsThe study initially enrolled twenty-eight participants, but due to a high drop-out rate
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Decoding kinematic information from beta-band motor rhythms of speech motor cortex: a methodological/analytic approach using concurrent speech movement tracking and magnetoencephalography Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-05 Ioanna Anastasopoulou, Douglas Owen Cheyne, Pascal van Lieshout, Blake Warren Johnson
IntroductionArticulography and functional neuroimaging are two major tools for studying the neurobiology of speech production. Until now, however, it has generally not been feasible to use both in the same experimental setup because of technical incompatibilities between the two methodologies.MethodsHere we describe results from a novel articulography system dubbed Magneto-articulography for the Assessment
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Episodic memory assessment: effects of sex and age on performance and response time during a continuous recognition task Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04
IntroductionContinuous recognition tasks (CRTs) assess episodic memory (EM), the central functional disturbance in Alzheimer’s disease and several related disorders. The online MemTrax computerized CRT provides a platform for screening and assessment that is engaging and can be repeated frequently. MemTrax presents complex visual stimuli, which require complex involvement of the lateral and medial
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EEG analysis in patients with schizophrenia based on microstate semantic modeling method Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04
IntroductionMicrostate analysis enables the characterization of quasi-stable scalp potential fields on a sub-second timescale, preserving the temporal dynamics of EEG and spatial information of scalp potential distributions. Owing to its capacity to provide comprehensive pathological insights, it has been widely applied in the investigation of schizophrenia (SCZ). Nevertheless, previous research has
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Individual differences in auditory perception predict learning of non-adjacent tone sequences in 3-year-olds Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04
Auditory processing of speech and non-speech stimuli oftentimes involves the analysis and acquisition of non-adjacent sound patterns. Previous studies using speech material have demonstrated (i) children’s early emerging ability to extract non-adjacent dependencies (NADs) and (ii) a relation between basic auditory perception and this ability. Yet, it is currently unclear whether children show similar
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Psychophysiological evaluation of the Smartick method in children with reading and mathematical difficulties Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04
IntroductionAssistive technologies for learning are aimed at promoting academic skills, such as reading and mathematics. These technologies mainly embrace mobile and web apps addressed to children with learning difficulties. Nevertheless, most applications lack pedagogical foundation. Additionally, the task of selecting suitable technology for educational purposes becomes challenging. Hence, this protocol
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Differential modulation of resting-state functional connectivity between amygdala and precuneus after acute physical exertion of varying intensity: indications for a role in affective regulation Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04
IntroductionPhysical activity influences psychological well-being. This study aimed to determine the impact of exercise intensity on psychological well-being and alterations in emotion-related brain functional connectivity (FC).MethodsTwenty young, healthy, trained athletes performed a low- and high-intensity interval exercise (LIIE and HIIE) as well as a control condition in a within-subject crossover
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Comparison of muscle activity of the lower limbs while running on different treadmill models Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04
Treadmill running is a common method of exercise and to study human locomotion. Research has examined the kinematics and kinetics of overground and treadmill running, but there has been less focus on the levels of muscle activity during treadmill running. We investigated if muscle activity is different while running overground compared to running on a variety of treadmills. A total of 11 healthy individuals
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Machine learning algorithms for detection of visuomotor neural control differences in individuals with PASC and ME Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04
The COVID-19 pandemic has affected millions worldwide, giving rise to long-term symptoms known as post-acute sequelae of SARS-CoV-2 (PASC) infection, colloquially referred to as long COVID. With an increasing number of people experiencing these symptoms, early intervention is crucial. In this study, we introduce a novel method to detect the likelihood of PASC or Myalgic Encephalomyelitis (ME) using
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Individual differences in auditory perception predict learning of non-adjacent tone sequences in 3-year-olds Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04 Jutta L. Mueller, Ivonne Weyers, Angela D. Friederici, Claudia Männel
Auditory processing of speech and non-speech stimuli oftentimes involves the analysis and acquisition of non-adjacent sound patterns. Previous studies using speech material have demonstrated (i) children’s early emerging ability to extract non-adjacent dependencies (NADs) and (ii) a relation between basic auditory perception and this ability. Yet, it is currently unclear whether children show similar
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Comparison of muscle activity of the lower limbs while running on different treadmill models Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04 Christina Kaltenbach, Albert Gollhofer, Benno M. Nigg, Michael J. Asmussen
Treadmill running is a common method of exercise and to study human locomotion. Research has examined the kinematics and kinetics of overground and treadmill running, but there has been less focus on the levels of muscle activity during treadmill running. We investigated if muscle activity is different while running overground compared to running on a variety of treadmills. A total of 11 healthy individuals
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Episodic memory assessment: effects of sex and age on performance and response time during a continuous recognition task Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04 James O. Clifford, Sulekha Anand, Franck Tarpin-Bernard, Michael F. Bergeron, Curtis B. Ashford, Peter J. Bayley, John Wesson Ashford
IntroductionContinuous recognition tasks (CRTs) assess episodic memory (EM), the central functional disturbance in Alzheimer’s disease and several related disorders. The online MemTrax computerized CRT provides a platform for screening and assessment that is engaging and can be repeated frequently. MemTrax presents complex visual stimuli, which require complex involvement of the lateral and medial
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Differential modulation of resting-state functional connectivity between amygdala and precuneus after acute physical exertion of varying intensity: indications for a role in affective regulation Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04 Marvin Lohaus, Angelika Maurer, Neeraj Upadhyay, Marcel Daamen, Luisa Bodensohn, Judith Werkhausen, Christian Manunzio, Ursula Manunzio, Alexander Radbruch, Ulrike Attenberger, Henning Boecker
IntroductionPhysical activity influences psychological well-being. This study aimed to determine the impact of exercise intensity on psychological well-being and alterations in emotion-related brain functional connectivity (FC).MethodsTwenty young, healthy, trained athletes performed a low- and high-intensity interval exercise (LIIE and HIIE) as well as a control condition in a within-subject crossover
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Psychophysiological evaluation of the Smartick method in children with reading and mathematical difficulties Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04 César E. Corona-González, Moramay Ramos-Flores, Luz María Alonso-Valerdi, David I. Ibarra-Zarate, Victor Issa-Garcia
IntroductionAssistive technologies for learning are aimed at promoting academic skills, such as reading and mathematics. These technologies mainly embrace mobile and web apps addressed to children with learning difficulties. Nevertheless, most applications lack pedagogical foundation. Additionally, the task of selecting suitable technology for educational purposes becomes challenging. Hence, this protocol
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EEG analysis in patients with schizophrenia based on microstate semantic modeling method Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04 Hongwei Li, Changming Wang, Lin Ma, Cong Xu, Haifeng Li
IntroductionMicrostate analysis enables the characterization of quasi-stable scalp potential fields on a sub-second timescale, preserving the temporal dynamics of EEG and spatial information of scalp potential distributions. Owing to its capacity to provide comprehensive pathological insights, it has been widely applied in the investigation of schizophrenia (SCZ). Nevertheless, previous research has
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Machine learning algorithms for detection of visuomotor neural control differences in individuals with PASC and ME Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-04 Harit Ahuja, Smriti Badhwar, Heather Edgell, Marin Litoiu, Lauren E. Sergio
The COVID-19 pandemic has affected millions worldwide, giving rise to long-term symptoms known as post-acute sequelae of SARS-CoV-2 (PASC) infection, colloquially referred to as long COVID. With an increasing number of people experiencing these symptoms, early intervention is crucial. In this study, we introduce a novel method to detect the likelihood of PASC or Myalgic Encephalomyelitis (ME) using
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Development and evaluation of a BCI-neurofeedback system with real-time EEG detection and electrical stimulation assistance during motor attempt for neurorehabilitation of children with cerebral palsy Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-03
In the realm of motor rehabilitation, Brain-Computer Interface Neurofeedback Training (BCI-NFT) emerges as a promising strategy. This aims to utilize an individual’s brain activity to stimulate or assist movement, thereby strengthening sensorimotor pathways and promoting motor recovery. Employing various methodologies, BCI-NFT has been shown to be effective for enhancing motor function primarily of
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From learned value to sustained bias: how reward conditioning changes attentional priority Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-03
IntroductionAttentional bias to reward-associated stimuli can occur even when it interferes with goal-driven behavior. One theory posits that dopaminergic signaling in the striatum during reward conditioning leads to changes in visual cortical and parietal representations of the stimulus used, and this, in turn, sustains attentional bias even when reward is discontinued. However, only a few studies
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Development and evaluation of a BCI-neurofeedback system with real-time EEG detection and electrical stimulation assistance during motor attempt for neurorehabilitation of children with cerebral palsy Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-03 Ahad Behboodi, Julia Kline, Andrew Gravunder, Connor Phillips, Sheridan M. Parker, Diane L. Damiano
In the realm of motor rehabilitation, Brain-Computer Interface Neurofeedback Training (BCI-NFT) emerges as a promising strategy. This aims to utilize an individual’s brain activity to stimulate or assist movement, thereby strengthening sensorimotor pathways and promoting motor recovery. Employing various methodologies, BCI-NFT has been shown to be effective for enhancing motor function primarily of
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From learned value to sustained bias: how reward conditioning changes attentional priority Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-03 Kristin N. Meyer, Joseph B. Hopfinger, Elena M. Vidrascu, Charlotte A. Boettiger, Donita L. Robinson, Margaret A. Sheridan
IntroductionAttentional bias to reward-associated stimuli can occur even when it interferes with goal-driven behavior. One theory posits that dopaminergic signaling in the striatum during reward conditioning leads to changes in visual cortical and parietal representations of the stimulus used, and this, in turn, sustains attentional bias even when reward is discontinued. However, only a few studies
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Motivational context and neurocomputation of stop expectation moderate early attention responses supporting proactive inhibitory control Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-02
Alterations in attention to cues signaling the need for inhibitory control play a significant role in a wide range of psychopathology. However, the degree to which motivational and attentional factors shape the neurocomputations of proactive inhibitory control remains poorly understood. The present study investigated how variation in monetary incentive valence and stake modulate the neurocomputational
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Brain vital sign monitoring of sleep deprivation detects situational cognitive impairment Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-02
Objective, rapid evaluation of cognitive function is critical for identifying situational impairment due to sleep deprivation. The present study used brain vital sign monitoring to evaluate acute changes in cognitive function for healthy adults. Thirty (30) participants were scanned using portable electroencephalography before and after either a night of regular sleep or a night of total sleep deprivation
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Non-invasive suppression of the human nucleus accumbens (NAc) with transcranial focused ultrasound (tFUS) modulates the reward network: a pilot study Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-02
Background The nucleus accumbens (NAc) is a key node of the brain reward circuit driving reward-related behavior. Dysregulation of NAc has been demonstrated to contribute to pathological markers of addiction in substance use disorder (SUD) making it a potential therapeutic target for brain stimulation. Transcranial focused ultrasound (tFUS) is an emerging non-invasive brain stimulation approach that
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Toward diffusion tensor imaging as a biomarker in neurodegenerative diseases: technical considerations to optimize recordings and data processing Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-02
Neuroimaging biomarkers have shown high potential to map the disease processes in the application to neurodegenerative diseases (NDD), e.g., diffusion tensor imaging (DTI). For DTI, the implementation of a standardized scanning and analysis cascade in clinical trials has potential to be further optimized. Over the last few years, various approaches to improve DTI applications to NDD have been developed
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Non-invasive suppression of the human nucleus accumbens (NAc) with transcranial focused ultrasound (tFUS) modulates the reward network: a pilot study Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-02 Xiaolong Peng, Dillon J. Connolly, Falon Sutton, John Robinson, Brenna Baker-Vogel, Edward B. Short, Bashar W. Badran
BackgroundThe nucleus accumbens (NAc) is a key node of the brain reward circuit driving reward-related behavior. Dysregulation of NAc has been demonstrated to contribute to pathological markers of addiction in substance use disorder (SUD) making it a potential therapeutic target for brain stimulation. Transcranial focused ultrasound (tFUS) is an emerging non-invasive brain stimulation approach that
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Toward diffusion tensor imaging as a biomarker in neurodegenerative diseases: technical considerations to optimize recordings and data processing Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-02 Hans-Peter Müller, Jan Kassubek
Neuroimaging biomarkers have shown high potential to map the disease processes in the application to neurodegenerative diseases (NDD), e.g., diffusion tensor imaging (DTI). For DTI, the implementation of a standardized scanning and analysis cascade in clinical trials has potential to be further optimized. Over the last few years, various approaches to improve DTI applications to NDD have been developed
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Motivational context and neurocomputation of stop expectation moderate early attention responses supporting proactive inhibitory control Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-02 Resh S. Gupta, Alan N. Simmons, Nathalie N. Dugas, Daniel M. Stout, Katia M. Harlé
Alterations in attention to cues signaling the need for inhibitory control play a significant role in a wide range of psychopathology. However, the degree to which motivational and attentional factors shape the neurocomputations of proactive inhibitory control remains poorly understood. The present study investigated how variation in monetary incentive valence and stake modulate the neurocomputational
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Brain vital sign monitoring of sleep deprivation detects situational cognitive impairment Front Hum Neurosci (IF 2.9) Pub Date : 2024-04-02 Katherine B. Jones, Tory Frizzell, Shaun Fickling, Gabriela Pawlowski, Sonia M. Brodie, Bimal Lakhani, Jan Venter, Ryan C. N. D’Arcy
Objective, rapid evaluation of cognitive function is critical for identifying situational impairment due to sleep deprivation. The present study used brain vital sign monitoring to evaluate acute changes in cognitive function for healthy adults. Thirty (30) participants were scanned using portable electroencephalography before and after either a night of regular sleep or a night of total sleep deprivation
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Assessing resting-state brain functional connectivity in adolescents and young adults with narcolepsy using functional near-infrared spectroscopy Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-28 Chen Wenhong, Mo Xiaoying, Shi Lingli, Tang Binyun, Wen Yining, Zhao Mingming, Lu Yian, Qin Lixia, Hu Wenyu, Pan Fengjin
This study aimed to elucidate the alterations in the prefrontal cortex’s functional connectivity and network topology in narcolepsy patients using functional near-infrared spectroscopy (fNIRS). Twelve narcolepsy-diagnosed patients from Guangxi Zhuang Autonomous Region’s People’s Hospital Sleep Medicine Department and 11 matched healthy controls underwent resting fNIRS scans. Functional connectivity
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Music emotion recognition based on temporal convolutional attention network using EEG Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-28 Yinghao Qiao, Jiajia Mu, Jialan Xie, Binghui Hu, Guangyuan Liu
Music is one of the primary ways to evoke human emotions. However, the feeling of music is subjective, making it difficult to determine which emotions music triggers in a given individual. In order to correctly identify emotional problems caused by different types of music, we first created an electroencephalogram (EEG) data set stimulated by four different types of music (fear, happiness, calm, and
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Variation in emotion dynamics over time is associated with future relationship outcomes Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-28 Simran K. Johal, Emilio Ferrer
Romantic relationships are defined by emotion dynamics, or how the emotions of one partner at a single timepoint can affect their own emotions and the emotions of their partner at the next timepoint. Previous research has shown that the level of these emotion dynamics plays a role in determining the state and quality of the relationship. However, this research has not examined whether the estimated
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Several inaccurate or erroneous conceptions and misleading propaganda about brain-computer interfaces Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-27 Yanxiao Chen, Fan Wang, Tianwen Li, Lei Zhao, Anmin Gong, Wenya Nan, Peng Ding, Yunfa Fu
Brain-computer interface (BCI) is a revolutionizing human-computer interaction, which has potential applications for specific individuals or groups in specific scenarios. Extensive research has been conducted on the principles and implementation methods of BCI, and efforts are currently being made to bridge the gap from research to real-world applications. However, there are inaccurate or erroneous
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Revealing brain’s cognitive process deeply: a study of the consistent EEG patterns of audio-visual perceptual holistic Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-27 Hongwei Li, Haifeng Li, Lin Ma, Diokova Polina
IntroductionTo investigate the brain’s cognitive process and perceptual holistic, we have developed a novel method that focuses on the informational attributes of stimuli.MethodsWe recorded EEG signals during visual and auditory perceptual cognition experiments and conducted ERP analyses to observe specific positive and negative components occurring after 400ms during both visual and auditory perceptual
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Adaptation and learning as strategies to maximize reward in neurofeedback tasks Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-25 Rodrigo Osuna-Orozco, Yi Zhao, Hannah Marie Stealey, Hung-Yun Lu, Enrique Contreras-Hernandez, Samantha Rose Santacruz
IntroductionAdaptation and learning have been observed to contribute to the acquisition of new motor skills and are used as strategies to cope with changing environments. However, it is hard to determine the relative contribution of each when executing goal directed motor tasks. This study explores the dynamics of neural activity during a center-out reaching task with continuous visual feedback under
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Magilock: a reliable control triggering method in multi-channel eye-control systems Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-22 Niu Ya-Feng, He Jia-Xin, Liu Jin
Eye-tracking technology brings a different human-computer interaction experience to users because of its intuitive, natural, and hands-free operation characteristics. Avoiding the Midas touch problem and improving the accuracy of interaction are among the main goals of the research and development of eye-control systems. This study reviews the methods and limitations of research on avoiding the Midas
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Explainable artificial intelligence (xAI) in neuromarketing/consumer neuroscience: an fMRI study on brand perception Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-22 José Paulo Marques dos Santos, José Diogo Marques dos Santos
IntroductionThe research in consumer neuroscience has identified computational methods, particularly artificial intelligence (AI) and machine learning, as a significant frontier for advancement. Previously, we utilized functional magnetic resonance imaging (fMRI) and artificial neural networks (ANNs) to model brain processes related to brand preferences in a paradigm exempted from motor actions. In
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Electrophysiological analysis of signal detection outcomes emphasizes the role of decisional factors in recognition memory Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-20 Stephan Schneider, Sélim Yahia Coll, Armin Schnider, Radek Ptak
IntroductionEvent-related potential (ERP) studies have identified two time windows associated with recognition memory and interpreted them as reflecting two processes: familiarity and recollection. However, using relatively simple stimuli and achieving high recognition rates, most studies focused on hits and correct rejections. This leaves out some information (misses and false alarms) that according
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Motor imagery for paediatric neurorehabilitation: how much do we know? Perspectives from a systematic review Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-20 Amalia Egle Gentile, Sergio Rinella, Eleonora Desogus, Cristiano Maria Verrelli, Marco Iosa, Vincenzo Perciavalle, Martino Ruggieri, Agata Polizzi
BackgroundMotor Imagery (MI) is a cognitive process consisting in mental simulation of body movements without executing physical actions: its clinical use has been investigated prevalently in adults with neurological disorders.ObjectivesReview of the best-available evidence on the use and efficacy of MI interventions for neurorehabilitation purposes in common and rare childhood neurological disorders
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Using altered auditory feedback to study pitch compensation and adaptation in tonal language speakers Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-19 Ding-lan Tang
Human speech production is strongly influenced by the auditory feedback it generates. Auditory feedback-what we hear when we speak-enables us to learn and maintain speaking skills and to rapidly correct errors in our speech. Over the last three decades, the real-time altered auditory feedback (AAF) paradigm has gained popularity as a tool to study auditory feedback control during speech production
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Influencing factors of corticomuscular coherence in stroke patients Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-18 Zhixian Gao, Shiyang Lv, Xiangying Ran, Yuxi Wang, Mengsheng Xia, Junming Wang, Mengyue Qiu, Yinping Wei, Zhenpeng Shao, Zongya Zhao, Yehong Zhang, Xuezhi Zhou, Yi Yu
Stroke, also known as cerebrovascular accident, is an acute cerebrovascular disease with a high incidence, disability rate, and mortality. It can disrupt the interaction between the cerebral cortex and external muscles. Corticomuscular coherence (CMC) is a common and useful method for studying how the cerebral cortex controls muscle activity. CMC can expose functional connections between the cortex
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Opportunities and obstacles in non-invasive brain stimulation Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-18 Jake Toth, Danielle Lauren Kurtin, Méadhbh Brosnan, Mahnaz Arvaneh
Non-invasive brain stimulation (NIBS) is a complex and multifaceted approach to modulating brain activity and holds the potential for broad accessibility. This work discusses the mechanisms of the four distinct approaches to modulating brain activity non-invasively: electrical currents, magnetic fields, light, and ultrasound. We examine the dual stochastic and deterministic nature of brain activity
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Assessing alexithymia: the proposal of a psychometric tool based on spheric videos Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-18 Gloria Simoncini, Francesca Borghesi, Valentina Mancuso, Elisa Pedroli, Pietro Cipresso
The present perspective introduces a novel psychometric tool designed to enhance the evaluation of alexithymia. Alexithymia, a condition marked by difficulties in recognizing and expressing emotions, along with a propensity to direct attention outside rather than toward one’s own interior experiences, is commonly investigated through self-report questionnaires. These instruments assume that individuals
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Type I interferon signaling, cognition and neurodegeneration following COVID-19: update on a mechanistic pathogenetic model with implications for Alzheimer’s disease Front Hum Neurosci (IF 2.9) Pub Date : 2024-03-18 George D. Vavougios, Vasilis-Spyridon Tseriotis, Andreas Liampas, Theodore Mavridis, Gabriel A. de Erausquin, Georgios Hadjigeorgiou
COVID-19’s effects on the human brain reveal a multifactorial impact on cognition and the potential to inflict lasting neuronal damage. Type I interferon signaling, a pathway that represents our defense against pathogens, is primarily affected by COVID-19. Type I interferon signaling, however, is known to mediate cognitive dysfunction upon its dysregulation following synaptopathy, microgliosis and