Article
Linguistics
Dagmar Divjak, Hui Sun, Petar Milin
Summary: This study explores the feasibility of using Heart Rate Variability (HRV) as an indicator to assess implicit language knowledge, and finds that cardiovascular response can reflect the degree of grammatical errors. The results reveal the intricate relationship between physiology and cognition, and provide new possibilities for assessing language knowledge in natural and authentic settings.
JOURNAL OF NEUROLINGUISTICS
(2024)
Article
Linguistics
Xi Chen, Diana Sidtis
Summary: This study investigates the ability of Mandarin-speaking individuals with PD to convey contrastive stress in production and perceive these contrasts in listening. Results show that individuals with PD have difficulty in producing contrastive stress, but their ability to perceive these contrasts is relatively preserved.
JOURNAL OF NEUROLINGUISTICS
(2024)
Article
Linguistics
Xiangyang Zhang, Wenqi Cai, Min Dang, Rui Zhang, Xiaojuan Wang, Jianfeng Yang
Summary: This study investigates the brain mechanisms of sub-lexical semantic processing and its interaction with lexical-semantic processing in visual word reading. The results reveal the neural bases involved in these processes and provide insights for understanding semantic processing in reading.
JOURNAL OF NEUROLINGUISTICS
(2024)
Article
Linguistics
Tala Noufi, Maor Zeev-Wolf
Summary: This study aimed to test the effect of left-hand muscle contractions on metaphor comprehension in adolescents, and compare the processing of conventional and novel metaphors between adolescents and adults. The results showed that left-hand muscle contractions enhanced metaphor comprehension, but over-activation of the right hemisphere decreased the ability to process unrelated expressions. Additionally, adolescents were more accurate in processing novel metaphors, possibly due to their reliance on coarse semantic coding.
JOURNAL OF NEUROLINGUISTICS
(2024)
Article
Computer Science, Artificial Intelligence
Jose de Jesus Rubio, Mario Alberto Hernandez, Francisco Javier Rosas, Eduardo Orozco, Ricardo Balcazar, Jaime Pacheco
Summary: This study suggests using different observer and controller gains to improve the position and velocity perturbation attenuation based on control theory. High-gain, genetic high-gain, and compact high-gain controllers are proposed to improve the perturbation attenuation in inverted pendulums. These controllers are compared with other controllers.
Article
Computer Science, Artificial Intelligence
Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sanchez, Alberto Blanco-Justicia
Summary: This paper investigates the behavior of the label-flipping (LF) attack and proposes a novel defense called LFighter, which filters out potential bad updates by extracting and clustering the parameter gradients corresponding to the neurons of the source and target classes. The proposed defense shows effectiveness regardless of data distribution or model dimensionality and outperforms several state-of-the-art defenses in terms of test error, overall accuracy, source class accuracy, attack success rate, and stability of the source class accuracy.
Article
Computer Science, Artificial Intelligence
Vishruth B. Gowda, M. T. Gopalakrishna, J. Megha, Shilpa Mohankumar
Summary: This article introduces a foreground segmentation algorithm that solves the challenges of darkness, dynamic background information, and camera jitter by using a triplet CNN, a Transposed Convolutional Neural Network (TCNN), and a Features Pooling Module (FPM). The results show that the algorithm outperforms other state-of-the-art algorithms on the CDnet2014 datasets and enhances the foreground segmentation performance.
Article
Linguistics
Matthew Walenski, Thomas Sostarics, M. Marsel Mesulam, Cynthia K. Thompson
Summary: This study investigated adjective production in patients with different types of aphasia and healthy controls. The findings showed that agrammatic aphasia patients produced significantly fewer attributive adjectives compared to the control group, while other patient groups were similar to the control group. Furthermore, there was a significant correlation between the rate of producing attributive adjectives and impaired production of complex syntactic structure sentences in agrammatic aphasia patients. Analysis of the lexical characteristics of the produced adjectives revealed consistent patterns with the language profile of each group.
JOURNAL OF NEUROLINGUISTICS
(2024)
Article
Computer Science, Artificial Intelligence
Feng Lin, Huaqing Zhang, Jian Wang, Jun Wang
Summary: This paper presents two CNN-based systems for unsupervised image enhancement under non-uniform illumination, and demonstrates their superiority in terms of enhancement quality, model complexity, and convergence efficiency through experimental results.
Article
Behavioral Sciences
Nora Geiser, Brigitte Charlotte Kaufmann, Samuel Elia Johannes Knobel, Dario Cazzoli, Tobias Nef, Thomas Nyffeler
Summary: This study compared the effects of auditory and visual motion stimulation on spatial neglect and found that both interventions were equally effective in improving neglect. Multimodal motion stimulation also improved neglect, but did not show greater improvement than unimodal auditory or visual motion stimulation alone.
Article
Computer Science, Artificial Intelligence
Guanghui Yue, Guibin Zhuo, Weiqing Yan, Tianwei Zhou, Chang Tang, Peng Yang, Tianfu Wang
Summary: This paper proposes a novel boundary uncertainty aware network (BUNet) for precise and robust colorectal polyp segmentation. BUNet utilizes a pyramid vision transformer encoder to learn multi-scale features and incorporates a boundary exploration module (BEM) and a boundary uncertainty aware module (BUM) to handle boundary areas. Experimental results demonstrate that BUNet outperforms other methods in terms of performance and generalization ability.
Article
Neurosciences
Sharon M. H. Tsang, Evest H. W. Chan, Jason Y. H. Chan, Gladys P. Y. Huang, Kelly K. T. Lam, Eunice W. Y. Lam, Allan C. L. Fu, Eliza R. Sun
Summary: This study examined the differences in postural adjustments between erect, hyperlordotic, and swayback postures when facing external perturbations. The findings suggest that adopting hyperlordotic and swayback postures alters the contributions of the active and passive subsystems of the spine in postural control, potentially reducing the spine's ability to withstand loading and shear forces.
Article
Neurosciences
Manish K. Saha
NEUROIMAGING CLINICS OF NORTH AMERICA
(2024)
Article
Linguistics
Vanessa Harwood, Adrian Garcia-Sierra, Raphael Dias, Emily Jelfs, Alisa Baron
Summary: This study investigates the phonological sensitivity to native and nonnative speech syllables and its relationship with English word reading abilities in 6-8 year-old monolingual English-speaking children. The results suggest that speech perception of native contrasts recorded in left temporal electrode sites is linked to English word reading abilities.
JOURNAL OF NEUROLINGUISTICS
(2024)
Article
Behavioral Sciences
Zhenzhen Huo, Zhiyi Chen, Rong Zhang, Junye Xu, Tingyong Feng
Summary: Procrastination has adverse effects on personal growth and social development. Reward sensitivity is positively correlated with procrastination. This study used VBM and RSFC analyses to investigate the neural substrates underlying the association between reward sensitivity and procrastination. The results showed that the functional connectivity of the right parahippocampal gyrus-precuneus mediated the relationship between reward sensitivity and procrastination.
Article
Neurosciences
Nina Gras, Torsten Brauner, Scott Wearing, Thomas Horstmann
Summary: This study aimed to investigate the challenge posed by progressively unstable balance devices to bipedal stance during early functional rehabilitation in THA patients. The results showed that increasingly compliant balance pads provided a progressive challenge, while the challenge posed by the oscillating platform was lower and independent of the ability to stand independently.
Article
Neurosciences
Hsin-yi Wang, Cheng-Yi Ho, Min-Chun Pan
Summary: This study investigated the differences in lumbar and hip movements during gait and muscle activities related to knee osteoarthritis (KOA) patients and healthy participants. The results showed that KOA patients used a hyperlordotic lumbar and hip flexed strategy, leading to excessive stress on the lower extremity joints during gait.
Article
Endocrinology & Metabolism
Shanshan Xiao, Natalie C. Ebner, Amirhossein Manzouri, Tie-Qiang Li, Diana S. Cortes, Kristoffer N. T. Mansson, Hakan Fischer
Summary: The mechanisms through which intranasal oxytocin affects the brain are not fully understood, but recent research suggests that brain regions with a higher density of oxytocin receptors may play a key role. This study used resting-state fMRI to investigate the effects of intranasal oxytocin administration on connectivity between these receptor-enriched regions and other regions in the brain, and found that the effects varied depending on the age of the participants.
PSYCHONEUROENDOCRINOLOGY
(2024)
Article
Computer Science, Artificial Intelligence
K. A. Ciecierski, T. Mandat
Summary: The paper presents a computer-aided decision support system for neurosurgical DBS surgery. The system utilizes artificial neural networks and attention mechanism to accurately determine the position of the stimulating electrode in the brain, improving the accuracy and efficiency of the surgery.
Article
Clinical Neurology
Hannah Meijs, Helena Voetterl, Alexander T. Sack, Hanneke van Dijk, Bieke De Wilde, Jan Van Hecke, Peter Niemegeers, Evian Gordon, Jurjen J. Luykx, Martijn Arns
Summary: This study used a polygenic score (PGS) and electroencephalography (EEG) data analysis to identify potential predictors for treatment outcomes in major depressive disorder (MDD). The results suggest the existence of a stable EEG network related to antidepressant-response that has potential as a predictor for MDD treatment, particularly in the case of venlafaxine.
EUROPEAN NEUROPSYCHOPHARMACOLOGY
(2024)
