Revolutionary research demonstrates how neuromodulatory agents reshape memory dynamics in neural circuits. If you're keen on deepening your understanding of brain function and potential applications for memory disorders or BCIs, this one definitely merits a gander.
The article discusses a critical pathway involving the caudal granular insular cortex and the somatosensory cortex, which plays a significant role in the transition from acute to chronic pain. It provides insights into the neural mechanisms underlying pain and potential targets for treatment.
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Athanasios S. Alexandris
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This research investigates the recovery process of retinal terminal fields following traumatic brain injury, highlighting evidence of collateral sprouting and differing responses based on sexual dimorphism. The findings have implications for understanding recovery mechanisms in neural injury.
This research presents a method for predicting MGMT-promotor methylation in high grade gliomas using noninvasive techniques that combine conventional MRI with deep learning-based segmentations.
This original research investigates how individualized effective connectivity in the cortico-basal ganglia network can predict outcomes for patients undergoing subthalamic nucleus deep brain stimulation.
NAMI collaborates with Harvard-affiliated digital psychiatry researchers led by Dr. John Torous to establish benchmarks for the efficacy of AI tools in mental health support.
This article discusses the potential therapeutic effects of PD-1/PD-L1 blockade in Alzheimer's disease, synthesizing preclinical and clinical studies through a systematic review and meta-analysis.
The study explores how specific neurons in prefrontal cortex circuits are activated during episodes that mimic schizophrenia behaviors, revealing the role of dopaminergic receptor-II.
This research investigates how the sialylation of gangliosides affects the internalization of tau proteins and their pathogenic spread in neurodegenerative conditions.
This study presents a model integrating fMRI and EEG data to understand the role of the amygdala in processing emotional stimuli and its implications for neural salience networks.
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Uliana Cheliadinova
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This article discusses the consequences of depleting the Fshr gene in models of Alzheimer’s disease, highlighting its protective effects against memory loss and physical degeneration.
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Daniel L Aldridge
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Functional analyses showcase that in the absence of IL-27, hematopoietic stem and progenitor cells are more likely to become monocytes during toxoplasmosis, making them less responsive after infection.
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Ahmed A. Aldohbeyb
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This research investigates how dynamic reversal potentials affect the characteristics of action potentials during spike train activity.
Frontiers in Computational Neuroscience
Read MoreThis original research article explores how electroacupuncture not only provides neuroprotective effects in a mouse model of Parkinson's Disease but also significantly alters the gut microbiota composition.
fMRI signals don’t always match the brain’s true activity levels, overturning a core assumption used in tens of thousands of studies. In about 40% of cases, an increased fMRI signal appeared in regions where neural activity was actually reduced, while decreased signals sometimes showed up in areas with heightened activity.
New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia with high accuracy.