Results 261 to 270 of about 144,398 (341)

H/M-ratio in spasticity before and after therapy with vibration impulses [PDF]

, 1988
Krause, Klaus-Henning, Kummer, R. von, Morche, K.   +2 more
core  

Assessing Neuromodulation Effects of Theta Burst Stimulation to the Prefrontal Cortex Using Transcranial Magnetic Stimulation Electroencephalography (TMS‐EEG) [PDF]

Stevan Nikolin, Adriano H. Moffa, Donel Martin, Colleen Loo, Tjeerd W. Boonstra   +4 more
openalex   +1 more source

Reduced occurrence of alpha waves during resting state predicts high attention‐deficit/hyperactivity disorder traits in young adults

JCPP Advances, EarlyView.
Abstract Background Attention‐deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition with significant cognitive and social impacts. Identifying reliable biomarkers for ADHD is crucial for developing personalised therapies. Electroencephalography (EEG) alpha oscillations (8–12 Hz) have been suggested as a potential biomarker, but ...
Julio Rodriguez‐Larios, Ümit Aydin, Gráinne McLoughlin   +2 more
wiley   +1 more source

Infant frontal alpha asymmetry predicts social attention and transdiagnostic risk for emotional reactivity

JCPP Advances, EarlyView.
Abstract Background Differences in Frontal Alpha Asymmetry (FAA), derived from the electroencephalogram (EEG), have been associated with approach‐withdrawal behavior, although inconsistently. The current study examined how early patterns of FAA during the first 2 years of life relate to various socioemotional characteristics (at 2 years) and ultimately
Viviane Valdes, Niccola Lutri, Haerin Chung, Charles A. Nelson   +3 more
wiley   +1 more source

Acupuncture alters cortical and corticomuscular functional connectivity in stroke patients with motor dysfunction

Journal of Intelligent Medicine, EarlyView.
Abstract Stroke is a leading cause of global mortality and disability, often resulting in severe motor dysfunction. Acupuncture has shown promise in stroke rehabilitation, but its neural mechanisms remain unclear. This study investigated the immediate effects of acupuncture at GV26, PC6, and SP6 on cortical and corticomuscular functional connectivity ...
Rui Xu, Siheng Chen, Zhongxiang Zhang, Jin Yang   +3 more
wiley   +1 more source

Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG).

Appl Bionics Biomech, 2020
Mohamed AMA, Uçan ON, Bayat O, Duru AD.
europepmc   +1 more source

Enhancing spatial cognition through origami training: Insights from brain connectomes

Journal of Intelligent Medicine, EarlyView.
Origami training enhances spatial cognition via measurable brain network changes (EEG/eye‐tracking). The mental rotation and folding tasks validate these gains. This low‐cost method offers a scalable intervention for cognitive decline. Abstract Spatial cognition is a key ability of human cognition and intelligence.
Xiuyun Liu, Chunyang Li, Yuning Zhen, Zofia Czosnyka, Peter Smielewski, Marek Czosnyka, Huijie Yu, Fang Guo, Yongqi Du, Yilin Liu, Jinze Li, Lei Zhang, Runnan He, Tzyy‐Ping Jung   +13 more
wiley   +1 more source

From regulatory mechanisms to cutting‐edge applications: Research progress of ultrasound, electrical, magnetic, and optical stimulation in neural modulation

Journal of Intelligent Medicine, EarlyView.
Abstract In recent years, the clinical treatment and symptom management of neurological disorders have faced significant challenges due to the high complexity of the nervous system's structure and function. Against this backdrop, physical stimulation techniques have emerged as a vital complementary approach to traditional pharmacological treatments and
Wanying Li, Liqun Chen
wiley   +1 more source

A multimodal mutual information‐guided feature selection framework for predicting rehabilitation response in Parkinson's disease with postural instability and gait disorder

Journal of Intelligent Medicine, EarlyView.
A mutual information–guided sequential forward selection framework applied to multimodal baseline data identified key EEG and MRI features, which showed robust predictive performance across multiple machine learning models. Abstract Postural instability and gait disorder (PIGD) subtype of Parkinson's disease (PD) is marked by heterogeneous motor and ...
Yu Shi, Hongbo Zhao, Deyu Wang, Jun Pang, Hanna Lu, Xiaodong Zhu, Lin Meng   +6 more
wiley   +1 more source