Overnight exposure to pink noise could jeopardize sleep-dependent insight and pattern detection
In this study, we investigated how the application of open-loop pink noise during sleep influences the gain of insight into hidden patterns. Seventy-two participants were assigned to three groups: daytime-wake, silent sleep, and sleep with pink noise. Each group completed the number reduction task, an established insight paradigm known to be influenced by sleep, over two sessions with a 12-h interval. Sleep groups were monitored by the DREEM 3 headband in home settings. Contrary to our prediction, pink noise did not induce an increase in insight compared to silent sleep and was statistically more similar to the wake condit...
Source: Frontiers in Human Neuroscience - December 1, 2023 Category: Neuroscience Source Type: research
Case Report: Virtual reality training for phantom limb pain after amputation
Several reports have demonstrated the effectiveness of neurorehabilitation, such as mirror therapy or virtual reality, in treating phantom limb pain (PLP). This case study describes the effect of virtual reality training (VRT) on severe, long-term PLP and upper limb activity on the amputated side in a patient who underwent digit amputation 9 years prior. A woman in her 40 s underwent amputation of 2–5 fingers 9 years prior due to a workplace accident. She experienced persistent pain in the palms of her hand near the amputation sites. A single case design (ABA’B’) was applied. Periods A and A’ were set as periods wi...
Source: Frontiers in Human Neuroscience - December 1, 2023 Category: Neuroscience Source Type: research
Editorial: The promising role of non-invasive brain stimulation in neurocognitive disorders treatment
(Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - November 30, 2023 Category: Neuroscience Source Type: research
The potential of fNIRS, EEG, and transcranial current stimulation to probe neural mechanisms of resistance training
(Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - November 30, 2023 Category: Neuroscience Source Type: research
Investigation of altered spontaneous brain activity in patients with bronchial asthma using the percent amplitude of fluctuation method: a resting-state functional MRI study
ConclusionThrough the application of PerAF analysis methods, we discovered that several brain regions in asthma patients that control the amplitude of respiration, vision, memory, language, attention, and emotional control display abnormal changes in intrinsic brain activity. This helps characterize the neural mechanisms behind cognitive, sensory, and motor function impairments in asthma patients, providing valuable insights for potential therapeutic targets and disease management strategies. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - November 30, 2023 Category: Neuroscience Source Type: research
Deep brain stimulation for chronic pain: a systematic review and meta-analysis
ConclusionThese findings significantly contribute to the expanding body of knowledge regarding the utility of DBS in the management of chronic pain. The study underscores the importance of conducting further research to enhance treatment outcomes and elucidate patient-specific factors that are associated with treatment response.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=428442, identifier CRD42023428442. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - November 30, 2023 Category: Neuroscience Source Type: research
EasyEyes — A new method for accurate fixation in online vision testing
Online methods allow testing of larger, more diverse populations, with much less effort than in-lab testing. However, many psychophysical measurements, including visual crowding, require accurate eye fixation, which is classically achieved by testing only experienced observers who have learned to fixate reliably, or by using a gaze tracker to restrict testing to moments when fixation is accurate. Alas, both approaches are impractical online as online observers tend to be inexperienced, and online gaze tracking, using the built-in webcam, has a low precision (±4 deg). EasyEyes open-source software reliably measures perip...
Source: Frontiers in Human Neuroscience - November 29, 2023 Category: Neuroscience Source Type: research
Editorial: New insights into the cognitive neuroscience of attention
(Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - November 29, 2023 Category: Neuroscience Source Type: research
Editorial: Global excellence in brain-computer interfaces: Europe
(Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - November 29, 2023 Category: Neuroscience Source Type: research
Unraveling the complexities of programming neural adaptive deep brain stimulation in Parkinson ’s disease
Over the past three decades, deep brain stimulation (DBS) for Parkinson’s disease (PD) has been applied in a continuous open loop fashion, unresponsive to changes in a given patient’s state or symptoms over the course of a day. Advances in recent neurostimulator technology enable the possibility for closed loop adaptive DBS (aDBS) for PD as a treatment option in the near future in which stimulation adjusts in a demand-based manner. Although aDBS offers great clinical potential for treatment of motor symptoms, it also brings with it the need for better understanding how to implement it in order to maximize its benefits....
Source: Frontiers in Human Neuroscience - November 28, 2023 Category: Neuroscience Source Type: research
Understanding voluntary human movement variability through data-driven segmentation and clustering
Recently, we proposed a novel approach where movements are decomposed into sub-segments, termed movement elements. This approach, to date, provides a robust construct of how the brain may generate simple as well as complex movements. Here, we address the issue of motor variability during voluntary movements by applying an unsupervised clustering algorithm to group movement elements according to their morphological characteristics. We observed that most movement elements closely match the theoretical bell-shaped velocity profile expected from goal-directed movements. However, for those movement elements that deviate from th...
Source: Frontiers in Human Neuroscience - November 28, 2023 Category: Neuroscience Source Type: research
Embodied strategies for public speaking anxiety: evaluation of the Corp-Oral program
ConclusionThese findings underline the benefit of managing public speaking anxiety not merely by reducing it but by channeling it through embodied strategies. These strategies could lead to greater action awareness that would cushion the physiological effect of the anxiety response and help generate a better self-perception of the anxiety state. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - November 27, 2023 Category: Neuroscience Source Type: research
Organization of sensorimotor activity in anterior cruciate ligament reconstructed individuals: an fMRI conjunction analysis
ConclusionACLR may result in unique activation of the sensorimotor cortex via a cortically driven sensory integration strategy to maintain involved limb motor control. The ACLR group's unique brain activity was independent of strength, self-reported knee function, and time from surgery. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - November 24, 2023 Category: Neuroscience Source Type: research
Study on brain damage patterns of COVID-19 patients based on EEG signals
ConclusionThe level of brain activity in COVID-19 patients at rest is reduced, and the brain functional network undergoes a rearrangement. These results preliminarily demonstrate that COVID-19 patients exhibit certain brain abnormalities during rest, it is feasible to explore the neurophysiological mechanism of COVID-19’s impact on the nervous system by using EEG signals, which can provide a certain technical basis for the subsequent diagnosis and evaluation of COVID-19 using artificial intelligence and the prevention of brain nervous system diseases after COVID-19 infection. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - November 24, 2023 Category: Neuroscience Source Type: research
Impact of electrode selection on modeling tDCS in the aging brain
ConclusionsThis study demonstrates potential discrepancies in generated current density models using real versus artificial electrode placement when applying tDCS to an older adult cohort. Our findings strongly suggest that future tDCS clinical work should consider closely monitoring and rigorously documenting electrode location during stimulation to model tDCS montages as closely as possible to actual placement. Detailed physical electrode location data may provide more precise information and thus produce more robust tDCS modeling results. (Source: Frontiers in Human Neuroscience)
Source: Frontiers in Human Neuroscience - November 24, 2023 Category: Neuroscience Source Type: research
