Results 81 to 90 of about 9,698 (215)

Hybrid Deep Learning Framework for Sleep Quality Prediction: Integrating Metaheuristic Optimization and Statistical Features

Brain and Behavior, Volume 16, Issue 4, April 2026.
This graphical abstract presents a hybrid deep learning framework for objective sleep quality prediction using wearable actigraphy data. Raw activity signals are preprocessed through normalization, resampling, and sliding‐window segmentation. Temporal sleep patterns are automatically learned using a long short‐term memory (LSTM) network, while ...
Ayodele Lasisi, Nitasha Rathore, Lalita Gupta, Kanika Thakur, Shrikant Burje, Madhumathi Ramasamy, Sandeep Bhad, Anurag Sinha, Amar Jeet, Shakti Singh, Quadri Noorulhasan Naveed, Raman Kumar, Syed Abid Hussain   +12 more
wiley   +1 more source

Distinct Resting‐State Connectomes for Face and Scene Perception Predict Individual Task Performance

Human Brain Mapping, Volume 47, Issue 5, 1 April 2026.
Resting‐state fMRI and MEG functional connectivity reveal that the FFA and PPA anchor distinct spatio‐temporal networks. The strength of this intrinsic architecture shows a double dissociation: FFA‐network connectivity specifically predicts face‐task performance, while PPA‐network connectivity predicts scene‐task performance, linking intrinsic ...
Orhan Soyuhos, Aurelia Scarpa, Daniel Baldauf   +2 more
wiley   +1 more source

A Fusion Algorithm Based on a Constant Velocity Model for Improving the Measurement of Saccade Parameters with Electrooculography

Sensors
Electrooculography (EOG) serves as a widely employed technique for tracking saccadic eye movements in a diverse array of applications. These encompass the identification of various medical conditions and the development of interfaces facilitating human ...
Palpolage Don Shehan Hiroshan Gunawardane, Raymond Robert MacNeil, Leo Zhao, James Theodore Enns, Clarence Wilfred de Silva, Mu Chiao   +5 more
doaj   +1 more source

Emerging Neural Recording and Neurostimulation Technologies Based on Brain–Computer Interface: A Promising Approach for Neuropsychiatric Disorders

MedComm, Volume 7, Issue 4, April 2026.
This review explores brain–computer interface (BCI)–based neural recording and stimulation for treating neuropsychiatric disorders. It details three emerging technologies: endovascular BCI for minimally invasive signal acquisition, BCI‐integrated epidural spinal cord stimulation for motor restoration, and closed‐loop deep brain stimulation for adaptive
Yeguang Xu, Danyang Chen, Qing Ye, Peng Zhang, Jian Shi, Shengjie Li, Yuhao Sun, Zhixian Zhao, Yingxin Tang, Ping Zhang, Zhouping Tang   +10 more
wiley   +1 more source

ELECTROOCULOGRAPHY AND PATTERN ERG IN THE DIAGNOSTICS OF BEST’S VITELLIFORM DISTROPHY

Zdravniški Vestnik, 2002
Background. The aim of the study was to develop electrooculography in accordance with ISCEV standards and to test its accuracy in the diagnosis of Best’s disease, where the EOG results should be invariably abnormal in all affected members.
Martina Jarc-Vidmar, Petra Popović, Marko Hawlina, Jelka Brecelj   +3 more
doaj  

Sleep Slow‐Wave and Spindle Alterations in Young Smokers Correlated With the Severity of Cigarette Exposure

Addiction Biology, Volume 31, Issue 4, April 2026.
Compared to non‐smokers, young smokers exhibit impaired N3 sleep slow‐wave integrity and enhanced N2 spindle activity. These microstructural sleep alterations correlate significantly with cigarette exposure severity, offering potential objective biomarkers for early nicotine‐related neural impairment.
Shuailin Ding, Ting Xue, Fang Dong, Yongxin Cheng, Yuxin Ma, Juan Wang, Dahua Yu, Kai Yuan   +7 more
wiley   +1 more source

Not All Rules Are Equal: Rare Conditional Rules Shape Behaviour but Yield to Global Probability in Passive Listening

European Journal of Neuroscience, Volume 63, Issue 8, April 2026.
The auditory system rapidly detects violations of sound regularities, but it remains unclear whether rarely encountered sounds violating such established regularities (i.e., deviants) themselves can inform prediction. In an adapted oddball paradigm, behavioural results show that conditional rules associated with rarely encountered deviants can be ...
Nina Coy, Alexandra Bendixen, Annika Löhr, Sabine Grimm, Erich Schröger, Urte Roeber   +5 more
wiley   +1 more source

Sleep dysfunction and EEG alterations in mice overexpressing alpha-synuclein. [PDF]

, 2014
BackgroundSleep disruptions occur early and frequently in Parkinson's disease (PD). PD patients also show a slowing of resting state activity. Alpha-synuclein is causally linked to PD and accumulates in sleep-related brain regions.
Chesselet, Marie-Françoise, McDowell, Kimberly A, Roos, Kenneth P, Shin, David   +3 more
core  

Sleep in Functional Motor Disorders: A Case–Control Polysomnographic Study

Journal of Sleep Research, Volume 35, Issue 2, April 2026.
ABSTRACT Sleep problems are frequent in functional motor disorders (FMDs). Surprisingly, objective correlates of impaired sleep and its relationship to other comorbidities have been understudied, and no polysomnographic study is available. We aimed to map the polysomnographic parameters in the context of self‐reported sleep and mood symptoms and search
Jiří Nepožitek, Simona Dostálová, Martin Jirásek, Gabriela Chaloupková, Zuzana Forejtová, Lucia Nováková, Veronika Rottová, Veronika Konvičná, Karel Šonka, Mark J. Edwards, Tereza Serranová   +10 more
wiley   +1 more source

An Affordable Method for Evaluation of Ataxic Disorders Based on Electrooculography

Sensors, 2019
Ataxias are a group of neurodegenerative disorders characterized by cerebellar dysfunction that cause irregularities in the rate, rhythm, amplitude, and force of voluntary movements.
Alberto López, Francisco Ferrero, Octavian Postolache   +2 more
doaj   +1 more source