Results 81 to 90 of about 10,379 (182)

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

Advanced Intelligent Systems, Volume 8, Issue 2, February 2026.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet, Sergio Sánchez‐Manso, Arnau Manasanch, Lluc Tresserras, Xinhe Zhang, Yining Hua, Hao Zhao, Melody Torao‐Angosto, Maria V Sanchez‐Vives, Leonardo Dalla Porta   +9 more
wiley   +1 more source

Executive Dysfunction and Prefrontal Cortex Dysregulation in Early-Onset Parkinson’s Disease: An fNIRS Study

Journal of Integrative Neuroscience
Background: Executive function (EF) impairment is a recognized common cognitive deficit in early-onset Parkinson’s disease (EOPD), profoundly impacting patient autonomy and quality of life.
Haiyang Wang, Zhanhua Liang, Zhongrui Yan, Yiming Liu   +3 more
doaj   +1 more source

Predicting Autism Spectrum Disorder in Children Using Glowworm Optimization With Extreme Learning Machine Networks

Brain and Behavior, Volume 16, Issue 2, February 2026.
The proposed framework for ASD detection has been illustrated. The process begins with dataset collection and preprocessing, followed by feature selection and hyperparameter optimization using GSO. The optimized features are classified through an ELM classifier, yielding high accuracy, fast convergence, and low computational cost for reliable ASD ...
Vijay Govindarajan, Ashit Kumar Dutta, Zaffar Ahmed Shaikh, Amr Yousef, Mohd Anjum, Sana Shahab   +5 more
wiley   +1 more source

Neural Dynamics of Attentional Boost Effect

Brain and Behavior, Volume 16, Issue 2, February 2026.
An ERP study reveals a distinct neural timeline of enhanced processing for target‐paired stimuli, from encoding to recognition, supporting the mechanism of target enhancement over distractor inhibition. ABSTRACT Background: The attentional boost effect refers to enhanced memory for information presented concurrently with target detection.
Xintong Chen, Xuan Lyu, Li Zhu, Qin Cui, Qing Yang, Xinglin Li, Kaiye Xiang, Chun Zheng, Chao Fu   +8 more
wiley   +1 more source

Fasting as Medicine: Mitochondrial and Endothelial Rejuvenation in Vascular Aging

Aging Cell, Volume 25, Issue 2, February 2026.
Aging impairs cerebrovascular health by driving mitochondrial dysfunction, oxidative stress, endothelial failure, and neurovascular uncoupling, leading to BBB breakdown and cognitive decline. In contrast, time‐restricted feeding/eating counteracts these mechanisms by restoring mitochondrial function, activating adaptive nutrient‐sensing pathways ...
Madison Milan, Eva Troyano‐Rodriguez, Jennifer Ihuoma, Sharon Negri, Rakesh Rudraboina, Aleksandra Kosmider, Shantipriya Awasthi, Priya Balasubramanian, Shannon Conley, Andriy Yabluchanskiy, Anna Csiszar, Zoltan Ungvari, Rafael de Cabo, Stefano Tarantini   +13 more
wiley   +1 more source

Evaluating prefrontal changes in depression using functional near-infrared spectroscopy utilizing Stroop test: A comparison with healthy controls

Indian Journal of Psychiatry
Background: Functional near-infrared spectroscopy (fNIRS) is being increasingly utilized to visualize the brain areas involved in cognitive activity to understand the human brain better.
Rohit Verma, Ragul Ganesh, Shubham Narnoli, Panna Sharma, Neha P. Shrivastava, Ishita Dhyani, Sonali Singhal, Stuti Karna   +7 more
doaj   +1 more source

Using Functional Near-Infrared Spectroscopy to Assess Brain Activation Evoked by Guilt and Shame

Frontiers in Human Neuroscience, 2020
Functional near-infrared spectroscopy (fNIRS) is a promising brain imaging modality for studying the neural substrates of moral emotions. However, the feasibility of using fNIRS to measure moral emotions has not been established. In the present study, we
Lian Duan, Qiudi Feng, Pengfei Xu, Pengfei Xu, Pengfei Xu   +4 more
doaj   +1 more source

Identifying and quantifying main components of physiological noise in functional near infrared spectroscopy on prefrontal cortex

Frontiers in Human Neuroscience, 2013
Functional Near-Infrared Spectroscopy (fNIRS) is a promising method to study functional organization of the prefrontal cortex. However, in order to realize the high potential of fNIRS, effective discrimination between physiological noise originating from
Evgeniya eKirilina, Na eYu, Alexander eJelzow, Heidrun eWabnitz, Arthur M Jacobs, Ilias eTachtsidis   +5 more
doaj   +1 more source

Investigating cortical activity during cybersickness by fNIRS

Scientific Reports
AbstractThis study investigated brain responses during cybersickness in healthy adults using functional near-infrared spectroscopy (fNIRS). Thirty participants wore a head-mounted display and observed a virtual roller coaster scene that induced cybersickness.
Sang Seok Yeo, Seo Yoon Park, Seong Ho Yun   +2 more
openaire   +3 more sources

fNIRS: Non-stationary preprocessing methods

Biomedical Signal Processing and Control, 2023
Dmitry Patashov, Yakir Menahem, Guy Gurevitch, Yoshinari Kameda, Dmitry Goldstein, Michal Balberg   +5 more
openaire   +1 more source