keyword
https://read.qxmd.com/read/38535733/improving-mental-skills-in-precision-sports-by-using-neurofeedback-training-a-narrative-review
#1
REVIEW
Stefano Corrado, Beatrice Tosti, Stefania Mancone, Tommaso Di Libero, Angelo Rodio, Alexandro Andrade, Pierluigi Diotaiuti
Primary objectives of neurofeedback training (NFT) are to improve concentration, stress and anxiety management, and performance optimisation. This narrative review examines the role of NFT as a tool to improve mental and cognitive skills of target shooting and archery athletes. Current research discusses how neurofeedback training can act on brain waves by influencing specific EEG frequency bands in order to improve cognitive flexibility. This contribution reports studies that have applied neurofeedback protocols in precision disciplines such as archery and shooting...
February 29, 2024: Sports
https://read.qxmd.com/read/38534490/deep-learning-for-generalized-eeg-seizure-detection-after-hypoxia-ischemia-preclinical-validation
#2
JOURNAL ARTICLE
Hamid Abbasi, Joanne O Davidson, Simerdeep K Dhillon, Kelly Q Zhou, Guido Wassink, Alistair J Gunn, Laura Bennet
Brain maturity and many clinical treatments such as therapeutic hypothermia (TH) can significantly influence the morphology of neonatal EEG seizures after hypoxia-ischemia (HI), and so there is a need for generalized automatic seizure identification. This study validates efficacy of advanced deep-learning pattern classifiers based on a convolutional neural network (CNN) for seizure detection after HI in fetal sheep and determines the effects of maturation and brain cooling on their accuracy. The cohorts included HI-normothermia term ( n = 7), HI-hypothermia term ( n = 14), sham-normothermia term ( n = 5), and HI-normothermia preterm ( n = 14) groups, with a total of >17,300 h of recordings...
February 24, 2024: Bioengineering
https://read.qxmd.com/read/38532269/re-emergent-tremor-in-parkinson-s-disease-evidence-of-pathologic-%C3%AE-and-prokinetic-%C3%AE-activity
#3
JOURNAL ARTICLE
Hao Ding, Bahman Nasseroleslami, Daniela Mirzac, Ioannis Ugo Isaias, Jens Volkmann, Günther Deuschl, Sergiu Groppa, Muthuraman Muthuraman
BACKGROUND: Re-emergent tremor is characterized as a continuation of resting tremor and is often highly therapy refractory. This study examines variations in brain activity and oscillatory responses between resting and re-emergent tremors in Parkinson's disease. METHODS: Forty patients with Parkinson's disease (25 males, mean age, 66.78 ± 5.03 years) and 40 age- and sex-matched healthy controls were included in the study. Electroencephalogram and electromyography signals were simultaneously recorded during resting and re-emergent tremors in levodopa on and off states for patients and mimicked by healthy controls...
March 26, 2024: Movement Disorders: Official Journal of the Movement Disorder Society
https://read.qxmd.com/read/38531940/visual-modulation-of-auditory-evoked-potentials-in-the-cat
#4
JOURNAL ARTICLE
Xiaohan Bao, Stephen G Lomber
Visual modulation of the auditory system is not only a neural substrate for multisensory processing, but also serves as a backup input underlying cross-modal plasticity in deaf individuals. Event-related potential (ERP) studies in humans have provided evidence of a multiple-stage audiovisual interactions, ranging from tens to hundreds of milliseconds after the presentation of stimuli. However, it is still unknown if the temporal course of visual modulation in the auditory ERPs can be characterized in animal models...
March 26, 2024: Scientific Reports
https://read.qxmd.com/read/38531424/from-land-to-ocean-one-month-for-southern-elephant-seal-pups-to-acquire-aquatic-skills-prior-to-their-first-departure-to-sea
#5
JOURNAL ARTICLE
Erwan Piot, Lea Hippauf, Laura Charlanne, Baptiste Picard, Jérôme Badaut, Caroline Gilbert, Christophe Guinet
Weaned southern elephant seals (SES) quickly transition from terrestrial to aquatic life after a 5- to 6-week post-weaning period. At sea, juveniles and adult elephant seals present extreme, continuous diving behaviour. Previous studies have highlighted the importance of the post-weaning period for weanlings to prepare for the physiological challenges of their future sea life. However, very little is known about how their body condition during this period may influence the development of their behaviour and brain activities...
March 24, 2024: Physiology & Behavior
https://read.qxmd.com/read/38531248/analysis-of-eeg-microstates-as-biomarkers-in-neuropsychological-processes-review
#6
REVIEW
Asha S A, Sudalaimani C, Devanand P, Alexander G, Arya Maniyan Lathikakumari, Sanjeev V Thomas, Ramshekhar N Menon
Microstate analysis is a spatiotemporal method where instantaneous scalp potential topography represents the current state of the brain. The temporal evolution of these scalp topographies gives an understanding of quasi-stable periods of long-range coherence between distant electrodes, reflecting functional coordination within large-scale cortical networks. It has been proven potential in identification and characterization of neurophysiological indicators associated with neuropsychiatric conditions. Changes in microstates connected to symptoms and cognitive impairments of neuropsychiatric conditions...
March 24, 2024: Computers in Biology and Medicine
https://read.qxmd.com/read/38526887/mcan-multimodal-causal-adversarial-networks-for-dynamic-effective-connectivity-learning-from-fmri-and-eeg-data
#7
JOURNAL ARTICLE
Jinduo Liu, Lu Han, Junzhong Ji
Dynamic effective connectivity (DEC) is the accumulation of effective connectivity in the time dimension, which can describe the continuous neural activities in the brain. Recently, learning DEC from functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) data has attracted the attention of neuroinformatics researchers. However, the current methods fail to consider the gap between the fMRI and EEG modality, which can not precisely learn the DEC network from multimodal data. In this paper, we propose a multimodal causal adversarial network for DEC learning, named MCAN...
March 25, 2024: IEEE Transactions on Medical Imaging
https://read.qxmd.com/read/38523306/applying-common-spatial-pattern-and-convolutional-neural-network-to-classify-movements-via-eeg-signals
#8
JOURNAL ARTICLE
Sepideh Zolfaghari, Tohid Yousefi Rezaii, Saeed Meshgini
Developing an electroencephalography (EEG)-based brain-computer interface (BCI) system is crucial to enhancing the control of external prostheses by accurately distinguishing various movements through brain signals. This innovation can provide comfortable circumstances for the populace who have movement disabilities. This study combined the most prospering methods used in BCI systems, including one-versus-rest common spatial pattern (OVR-CSP) and convolutional neural network (CNN), to automatically extract features and classify eight different movements of the shoulder, wrist, and elbow via EEG signals...
March 24, 2024: Clinical EEG and Neuroscience: Official Journal of the EEG and Clinical Neuroscience Society (ENCS)
https://read.qxmd.com/read/38521212/unravelling-the-multisensory-learning-advantage-different-patterns-of-within-and-across-frequency-specific-interactions-drive-uni-and-multisensory-neuroplasticity
#9
JOURNAL ARTICLE
Evangelos Paraskevopoulos, Alexandra Anagnostopoulou, Nikolas Chalas, Maria Karagianni, Panagiotis Bamidis
In the field of learning theory and practice, the superior efficacy of multisensory learning over uni-sensory is well-accepted. However, the underlying neural mechanisms at the macro-level of the human brain remain largely unexplored. This study addresses this gap by providing novel empirical evidence and a theoretical framework for understanding the superiority of multisensory learning. Through a cognitive, behavioral, and electroencephalographic assessment of carefully controlled uni-sensory and multisensory training interventions, our study uncovers a fundamental distinction in their neuroplastic patterns...
March 21, 2024: NeuroImage
https://read.qxmd.com/read/38520365/connectome-spectrum-electromagnetic-tomography-a-method-to-reconstruct-electrical-brain-source-networks-at-high-spatial-resolution
#10
JOURNAL ARTICLE
Joan Rué-Queralt, Hugo Fluhr, Sebastien Tourbier, Yasser Aleman-Gómez, David Pascucci, Jérôme Yerly, Katharina Glomb, Gijs Plomp, Patric Hagmann
Connectome spectrum electromagnetic tomography (CSET) combines diffusion MRI-derived structural connectivity data with well-established graph signal processing tools to solve the M/EEG inverse problem. Using simulated EEG signals from fMRI responses, and two EEG datasets on visual-evoked potentials, we provide evidence supporting that (i) CSET captures realistic neurophysiological patterns with better accuracy than state-of-the-art methods, (ii) CSET can reconstruct brain responses more accurately and with more robustness to intrinsic noise in the EEG signal...
April 2024: Human Brain Mapping
https://read.qxmd.com/read/38520362/electroencephalography-connectome-changes-in-chronic-insomnia-disorder-are-correlated-with-neurochemical-signatures
#11
JOURNAL ARTICLE
Liyong Yu, Wei Peng, Wenting Lin, Yucai Luo, Daijie Hu, Guangli Zhao, Hao Xu, Zeyang Dou, Qi Zhang, Xiaojuan Hong, Siyi Yu
STUDY OBJECTIVES: This study aimed to investigate the alterations in resting-state electroencephalography (EEG) global brain connectivity (GBC) in patients with chronic insomnia disorder (CID) and to explore the correlation between macroscale connectomic variances and microscale neurotransmitter distributions. METHODS: We acquired 64-channel EEG from 35 female CID patients and 34 healthy females. EEG signals were source-localized using individual brain anatomy and orthogonalized to mitigate volume conduction...
March 23, 2024: Sleep
https://read.qxmd.com/read/38519958/sleep-alterations-as-a-function-of-88-health-indicators
#12
JOURNAL ARTICLE
Péter Przemyslaw Ujma, Róbert Bódizs
BACKGROUND: Alterations in sleep have been described in multiple health conditions and as a function of several medication effects. However, evidence generally stems from small univariate studies. Here, we apply a large-sample, data-driven approach to investigate patterns between in sleep macrostructure, quantitative sleep EEG, and health. METHODS: We use data from the MrOS Sleep Study, containing polysomnography and health data from a large sample (N = 3086) of elderly American men to establish associations between sleep macrostructure, the spectral composition of the electroencephalogram, 38 medical disorders, 2 health behaviors, and the use of 48 medications...
March 22, 2024: BMC Medicine
https://read.qxmd.com/read/38516957/using-multivariate-pattern-analysis-to-increase-effect-sizes-for-event-related-potential-analyses
#13
JOURNAL ARTICLE
Carlos Daniel Carrasco, Brett Bahle, Aaron Matthew Simmons, Steven J Luck
Multivariate pattern analysis (MVPA) approaches can be applied to the topographic distribution of event-related potential (ERP) signals to "decode" subtly different stimulus classes, such as different faces or different orientations. These approaches are extremely sensitive, and it seems possible that they could also be used to increase effect sizes and statistical power in traditional paradigms that ask whether an ERP component differs in amplitude across conditions. To assess this possibility, we leveraged the open-source ERP CORE data set and compared the effect sizes resulting from conventional univariate analyses of mean amplitude with two MVPA approaches (support vector machine decoding and the cross-validated Mahalanobis distance, both of which are easy to compute using open-source software)...
March 22, 2024: Psychophysiology
https://read.qxmd.com/read/38516308/coherent-activity-within-and-between-hemispheres-cortico-cortical-connectivity-revealed-by-rtms-of-the-right-posterior-parietal-cortex
#14
JOURNAL ARTICLE
Chiara Mazzi, Sonia Mele, Chiara Bagattini, Javier Sanchez-Lopez, Silvia Savazzi
INTRODUCTION: Low frequency (1 Hz) repetitive transcranial stimulation (rTMS) applied over right posterior parietal cortex (rPPC) has been shown to reduce cortical excitability both of the stimulated area and of the interconnected contralateral homologous areas. In the present study, we investigated the whole pattern of intra- and inter-hemispheric cortico-cortical connectivity changes induced by rTMS over rPPC. METHODS: To do so, 14 healthy participants underwent resting state EEG recording before and after 30 min of rTMS at 1 Hz or sham stimulation over the rPPC (electrode position P6)...
2024: Frontiers in Human Neuroscience
https://read.qxmd.com/read/38515342/abnormal-theta-and-alpha-oscillations-in-children-and-adolescents-with-first-episode-psychosis-and-clinical-high-risk-psychosis
#15
JOURNAL ARTICLE
Yaru Zhang, Tingyu Yang, Yuqiong He, Fanchao Meng, Kun Zhang, Xingyue Jin, Xilong Cui, Xuerong Luo
BACKGROUND: Cognitive control deficits are one of the main symptoms of psychosis. The basic neural oscillation patterns associated with cognitive control are already present in early adolescence. However, as previous studies have focused on adults with psychosis, it is unclear whether neurobiological impairments in cognitive control are present in children and adolescents with first-episode psychosis (FEP) or clinical high-risk (CHR) state for psychosis. AIMS: To explore the deficits of electroencephalogram related to cognitive control tasks in children and adolescents with FEP and CHR...
March 22, 2024: BJPsych Open
https://read.qxmd.com/read/38514500/optimizing-motion-imagery-classification-with-limited-channels-using-the-common-spatial-pattern-based-integrated-algorithm
#16
JOURNAL ARTICLE
Shishi Chen, Xugang Xi, Ting Wang, Hangcheng Li, Maofeng Wang, Lihua Li, Zhong Lü
The extraction of effective classification features from electroencephalogram (EEG) signals in motor imagery is a popular research topic. The Common Spatial Pattern (CSP) algorithm is widely employed in this field. However, the performance of the traditional CSP method depends significantly on the choice of a specific frequency band and channel number of EEG data. Furthermore, inter-class variance among these frequency bands and the limited number of available EEG channels can adversely affect the CSP algorithm's ability to extract meaningful features from the relevant signal frequency bands...
March 22, 2024: Medical & Biological Engineering & Computing
https://read.qxmd.com/read/38514039/risky-alcohol-use-during-youth-impact-on-emotion-cognitive-networks-and-resting-state-eeg-activity
#17
JOURNAL ARTICLE
P Sampedro-Piquero, F Buades-Sitjar, A Capilla, C Zancada-Menéndez, A González-Baeza, R D Moreno-Fernández
The identification of the risk factors of alcohol consumption in youths is crucial for early interventions focused on reducing harmful alcohol use. In our study, 82 college students (40 healthy control (CO group) and 42 with risky alcohol use (RAU group) determined by AUDIT questionnaire) between the ages of 18 and 25 years underwent a comprehensive neuropsychological assessment covering emotional and cognitive functioning. Their resting-state activity was also recorded with an EEG for 10 min with their eyes open (EO) and 10 min with their eyes closed (EC) and analyzed using the Fitting Oscillations & One-Over-F (FOOOF) paradigm...
March 19, 2024: Progress in Neuro-psychopharmacology & Biological Psychiatry
https://read.qxmd.com/read/38512192/longitudinal-effects-of-prenatal-alcohol-exposure-on-visual-neurodevelopment-over-infancy
#18
JOURNAL ARTICLE
Emma T Margolis, Lauren Davel, Niall J Bourke, Cara Bosco, Michal R Zieff, Alexa D Monachino, Thandeka Mazubane, Simone R Williams, Marlie Miles, Chloë A Jacobs, Sadeeka Williams, Layla Bradford, Candice Knipe, Zamazimba Madi, Bokang Methola, Tembeka Mhlakwaphalwa, Nwabisa Mlandu, Khanyisa Nkubungu, Zayaan Goolam Nabi, Tracy Pan, Reese Samuels, Nicolò Pini, Vanja Klepac-Ceraj, William P Fifer, Daniel C Alexander, Derek K Jones, Steve C R Williams, Dima Amso, Kirsten A Donald, Laurel J Gabard-Durnam
Prenatal alcohol exposure (PAE) affects neurodevelopment in over 59 million individuals globally. Prior studies using dichotomous categorization of alcohol use and comorbid substance exposures provide limited knowledge of how prenatal alcohol specifically impacts early human neurodevelopment. In this longitudinal cohort study from Cape Town, South Africa, PAE is measured continuously-characterizing timing, dose, and drinking patterns (i.e., binge drinking). High-density electroencephalography (EEG) during a visual-evoked potential (VEP) task was collected from infants aged 8 to 52 weeks with prenatal exposure exclusively to alcohol and matched on sociodemographic factors to infants with no substance exposure in utero...
March 21, 2024: Developmental Psychology
https://read.qxmd.com/read/38512072/atp1a2-related-epileptic-encephalopathy-and-movement-disorder-clinical-features-of-three-novel-patients
#19
JOURNAL ARTICLE
Natalia Martínez Córdoba, Isabella Lince-Rivera, Jorge Luis Ramón Gómez, Guido Rubboli, Sebastián Ortiz De la Rosa
OBJECTIVE: Variants in the ATP1A2 gene exhibit a wide clinical spectrum, ranging from familial hemiplegic migraine to childhood epilepsies and early infantile developmental epileptic encephalopathy (EIDEE) with movement disorders. This study aims to describe the epileptology of three unpublished cases and summarize epilepsy features of the other 17 published cases with ATP1A2 variants and EIDEE. METHODS: Medical records of three novel patients with pathogenic ATP1A2 variants were retrospectively reviewed...
March 21, 2024: Epileptic Disorders: International Epilepsy Journal with Videotape
https://read.qxmd.com/read/38508711/balancing-the-senses-electrophysiological-responses-reveal-the-interplay-between-somatosensory-and-visual-processing-during-body-related-multisensory-conflict
#20
JOURNAL ARTICLE
A R Rossi Sebastiano, K Poles, S Gualtiero, M Romeo, M Galigani, V Bruno, C Fossataro, F Garbarini
In the study of bodily-awareness, the Predictive Coding Theory has revealed that our brain continuously modulates sensory experiences to integrate them into a unitary body representation. Indeed, during multisensory illusions (e.g., the rubber hand illusion; RHI), the synchronous stroking of the participant's concealed hand and a fake visible one creates a visuo-tactile conflict, generating a prediction error. Within the Predictive Coding framework, through sensory processing modulation, prediction errors are solved, inducing participants to feel as if touches originated from the fake hand, thus ascribing the fake hand to their own body...
March 20, 2024: Journal of Neuroscience
keyword
keyword
70977
1
2
Fetch more papers »
Fetching more papers... Fetching...
Remove bar
Read by QxMD icon Read
×

Save your favorite articles in one place with a free QxMD account.

×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"

We want to hear from doctors like you!

Take a second to answer a survey question.