Results 191 to 200 of about 495,407 (295)
Computerized cognitive training enhances cognitive function in Alzheimer's disease by downregulating Ruminococcus-TMAO pathway. [PDF]
Zhang W +16 more
europepmc +1 more source
Chronic oral exposure to microplastics may disrupt gut microbiota homeostasis and intestinal barrier integrity, potentially engaging the gut–brain axis and systemic inflammatory responses. These alterations may be associated with impaired blood–brain barrier function, cerebral microvascular dysfunction, and enhanced endothelial inflammation, pro ...
Hongxing Wang +5 more
wiley +1 more source
PtRhIr/Ru SAN@M nanozymes cross the blood–brain barrier and selectively accumulate in hemorrhagic brain regions. By mimicking multiple enzyme activities, they attenuate oxidative stress, modulate microglial polarization toward an anti‐inflammatory phenotype, inhibit ferroptosis, and promote neuronal repair.
Jiebo Li +17 more
wiley +1 more source
Neural Correlates of Cognitive Gains Induced by Commercially Available Cognitive Training Programs: A Meta-Analysis of Neuroimaging Studies. [PDF]
Wang Z, Liu Y, Liu C, Li G.
europepmc +1 more source
Engineering Immune Cell to Counteract Aging and Aging‐Associated Diseases
This review highlights a paradigm shift in which advanced immune cell therapies, initially developed for cancer, are now being harnessed to combat aging. By engineering immune cells to selectively clear senescent cells and remodel pro‐inflammatory tissue microenvironments, these strategies offer a novel and powerful approach to delay age‐related ...
Jianhua Guo +5 more
wiley +1 more source
Cognitive training reorganizes lateralization of fronto-parietal network in vascular cognitive impairment. [PDF]
Jin X +6 more
europepmc +1 more source
Resting-state neural dynamics changes in older adults with post-COVID syndrome and the modulatory effect of cognitive training and sex [PDF]
Boglárka Nagy +3 more
openalex +1 more source
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang +9 more
wiley +1 more source

