Results 71 to 80 of about 19,643,066 (280)
Spectral characteristics of resting state networks
Resting state networks (RSNs), as imaged by functional MRI, are distributed maps of areas believed to be involved in the function of the "resting" brain, which appear in both resting and task data. The current dominant view is that such networks are associated with slow (∼0.015Hz), spontaneous fluctuations in the BOLD signal.
Niazy, R +4 more
openaire +2 more sources
Evaluating the Use of Entropy Field Decomposition in Resting State Functional Magnetic Resonance Imaging Analysis [PDF]
The study of resting state functional magnetic resonance imaging (rs-fMRI) data has been the subject of increasing academic interest over the past decade.
Parmar, Nishaal
core
Previous work in incarcerated boys and adult men and women suggest that individuals scoring high on psychopathic traits show altered resting-state limbic/paralimbic, and default mode functional network properties.
Corey H. Allen +12 more
doaj +1 more source
We show that emergence of castration‐resistant prostate (CRPC) is associated with significant upregulation of cyclins that positively regulate cyclin‐dependent kinase 2 (CDK2) and concomitant downregulation of CDK4 cyclins. This renders CRPC cells dependent on the high activity of CDK2, and CDK2 inhibitors synergistically sensitize CRPC cells to both ...
Joyeeta Chatterjee +3 more
wiley +1 more source
Dynamic recruitment of resting state sub-networks [PDF]
Resting state networks (RSNs) are of fundamental importance in human systems neuroscience with evidence suggesting that they are integral to healthy brain function and perturbed in pathology. Despite rapid progress in this area, the temporal dynamics governing the functional connectivities that underlie RSN structure remain poorly understood.
George C. O'Neill +5 more
openaire +3 more sources
Resting-state networks distinguish locked-in from vegetative state patients
Purpose: Locked-in syndrome and vegetative state are distinct outcomes from coma. Despite their differences, they are clinically difficult to distinguish at the early stage and current diagnostic tools remain insufficient.
Daniel Roquet +8 more
doaj +1 more source
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
Resting-state functional connectivity (rsFC) has gained popularity mainly due to its simplicity and potential for providing insights into various brain disorders.
Androu Abdalmalak +13 more
doaj +1 more source
Reproducibility of functional connectivity and graph measures based on the Phase Lag Index (PLI) and weighted Phase Lag Index (wPLI) derived from high resolution EEG [PDF]
Functional connectivity (FC) and graph measures provide powerful means to analyze complex networks. The current study determines the inter-subject-variability using the coefficient of variation (CoV) and long-term test-retest-reliability (TRT) using the ...
Florian Hatz +23 more
core +1 more source
Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez +5 more
wiley +1 more source

