A neuro-cognitive model of comprehension based on prediction and unification
In this study, on the basis of a new model integrating into a unique architecture, we present these facilitation effects for accessing the meaning into the classical compositional architecture. This model relies on two mechanisms, prediction and unification, and provides a unique architecture for the description of language processing in its natural environment. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - April 9, 2024 Category: Neuroscience Source Type: research
Corrigendum: Attachment style, emotional feedback, and neural processing: investigating the influence of attachment on the P200 and P400 components of event-related potentials
(Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - April 5, 2024 Category: Neuroscience Source Type: research
Early altered directionality of resting brain network state transitions in the TgF344-AD rat model of Alzheimer's disease
DiscussionOur study enhances the understanding of intrinsic brain state dynamics and how they are impacted at the early stages of AD, providing a nuanced characterization of the early, functional impact of the disease's neurodegenerative process. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - April 5, 2024 Category: Neuroscience Source Type: research
Inconclusive results of slow cortical potential neurofeedback for the treatment of chronic post-stroke attention deficits
DiscussionBased on our observations, results of SCP neurofeedback training for the treatment of attention deficits after a stroke are inconclusive. More research is necessary to determine the effectiveness of SCP neurofeedback in helping stroke survivors cope with attention-related challenges in their daily lives. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - April 5, 2024 Category: Neuroscience Source Type: research
Decoding kinematic information from beta-band motor rhythms of speech motor cortex: a methodological/analytic approach using concurrent speech movement tracking and magnetoencephalography
DiscussionThese results show that MASK provides the capability, for deriving subject-specific articulatory parameters, based on well-established and robust motor control parameters, in the same experimental setup as the MEG brain recordings and in temporal and spatial co-register with the brain data. The analytic approach described here provides new capabilities for testing hypotheses concerning the types of kinematic information that are encoded and processed within specific components of the speech neuromotor system. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - April 5, 2024 Category: Neuroscience Source Type: research
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
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 the upper limb in stroke, with very few studies reported in cerebral palsy (CP). Our main objective was to develop an electroencephalography (EEG)-based BCI-NFT system, employing an associative learning paradigm, to improve se...
Source: Frontiers in Human Neuroscience - April 3, 2024 Category: Neuroscience Source Type: research
From learned value to sustained bias: how reward conditioning changes attentional priority
DiscussionOur findings suggest that striatal activity during reward conditioning predicts the degree to which reward history biases attention through learning-induced changes in visual and parietal activities. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - April 3, 2024 Category: Neuroscience Source Type: research
Motivational context and neurocomputation of stop expectation moderate early attention responses supporting proactive inhibitory control
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 signatures of proactive inhibitory control. Adults (N = 46) completed a Stop-Signal Task (SST) with concurrent EEG recording under four conditions associated with stop performance feedback: low and high punishment (following ...
Source: Frontiers in Human Neuroscience - April 2, 2024 Category: Neuroscience Source Type: research
Brain vital sign monitoring of sleep deprivation detects situational cognitive impairment
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. Brain vital signs were extracted from three established event-related potential components: (1) the N100 (Auditory sensation); (2) the P300 (Basic attention); and (3) the N400 (Cognitive processing) for all time points. ...
Source: Frontiers in Human Neuroscience - April 2, 2024 Category: Neuroscience Source Type: research
Non-invasive suppression of the human nucleus accumbens (NAc) with transcranial focused ultrasound (tFUS) modulates the reward network: a pilot study
ConclusionDelivering tFUS to the NAc can modulate brain activations and functional connectivity within the reward network. These preliminary findings suggest that tFUS could be potentially a promising neuromodulation tool for the direct and non-invasive management of the NAc and shed new light on the treatment for SUD and other brain diseases that involve reward processing. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - April 2, 2024 Category: Neuroscience Source Type: research
Toward diffusion tensor imaging as a biomarker in neurodegenerative diseases: technical considerations to optimize recordings and data processing
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. The core issue of this review was to address considerations and limitations of DTI in NDD: we discuss suggestions for improvements of DTI applications to NDD. Based on this technical approach, a set of recommendations was p...
Source: Frontiers in Human Neuroscience - April 2, 2024 Category: Neuroscience Source Type: research
Editorial: Digital cognitive behavior therapy for obsessive-compulsive disorder
(Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - March 28, 2024 Category: Neuroscience Source Type: research
Assessing resting-state brain functional connectivity in adolescents and young adults with narcolepsy using functional near-infrared spectroscopy
In conclusion, the study offers initial observations that alterations in the prefrontal cortex’s functional connectivity may potentially act as a neurobiological indicator of narcolepsy, warranting further investigation with a larger cohort to substantiate these findings and understand the underlying mechanisms. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - March 28, 2024 Category: Neuroscience Source Type: research
Music emotion recognition based on temporal convolutional attention network using EEG
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 sadness). Secondly, the differential entropy features of EEG were extracted, and then the emotion recognition model CNN-SA-BiLSTM was established to extract the temporal features of EEG, and the recognition performance of the m...
Source: Frontiers in Human Neuroscience - March 28, 2024 Category: Neuroscience Source Type: research
Variation in emotion dynamics over time is associated with future relationship outcomes
We examined whether the magnitude of variation in emotion dynamics over time was associated with relationship outcomes in a sample of 148 couples. Time-varying vector autoregressive models were used to estimate the emotion dynamics for each couple, and the average and standard deviation of the dynamics over time was related to relationship quality and relationship dissolution 1–2 years later. Our results demonstrate that certain autoregressive and cross-lagged parameters do show significant variation over time, and that this variation is associated with relationship outcomes. Overall, this study demonstrates the importan...
Source: Frontiers in Human Neuroscience - March 28, 2024 Category: Neuroscience Source Type: research
