Results 151 to 160 of about 1,737,485 (397)
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou +5 more
wiley +1 more source
Clinical Effectiveness of Motor Imagery Post-Stroke: An Evidence Based Review [PDF]
Following a stroke, many individuals experience participation limitations secondary to upper extremity hemiparesis (Shenn & Leishear, 2011). Motor imagery, the mental representation of movement without any body movement, is an evidenced-based ...
Narimanian, Azadeh +4 more
core +2 more sources
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham +21 more
wiley +1 more source
Motor imagery is a higher-order cognitive brain function that mentally simulates movements without performing the actual physical one. Although motor imagery has attracted the interest of many researchers, and mental practice utilizing motor imagery has ...
Tomoya Furuta +3 more
doaj +1 more source
Analisa Spektrum Motor Imagery pada Sinyal Aktivitas Otak [PDF]
Otak merupakan organ vital pada tubuh manusia yang berperan sebagai pusat kendali sistem saraf manusia. Sinyal yang dikeluarkan otak (EEG) mengandung berbagai informasi yang dapat dimanfaatkan pada teknologi BCI. Salah satu informasi yang dapat digunakan
Arifin, A. (Achmad) +2 more
core
Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification [PDF]
The imagination of limb movements offers an intuitive paradigm for the control of electronic devices via brain computer interfacing (BCI). The analysis of electroencephalographic (EEG) data related to motor imagery potentials has proved to be a difficult
Asensio-Cubero, Javier +2 more
core +1 more source
Effect of Motor Imagery on Hand Function in Parkinson’s Disease: A Pilot Randomised Control Trial
Mishra Riya, Anagha Palkar, Ajay Kumar
openalex +2 more sources
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
The Study of Visual-Auditory Interactions on Lower Limb Motor Imagery
In order to improve the activation of the mirror neuron system and the ability of the visual-cued motor imagery further, the multi-stimuli-cued unilateral lower limb motor imagery is studied in this paper.
Zhongliang Yu +3 more
doaj +1 more source
Integrating EEG and MEG signals to improve motor imagery classification in brain-computer interfaces
We propose a fusion approach that combines features from simultaneously recorded electroencephalographic (EEG) and magnetoencephalographic (MEG) signals to improve classification performances in motor imagery-based brain-computer interfaces (BCIs).
Bassett, Danielle S. +6 more
core +3 more sources

