Brain's 'wakeful rest' network may be key to Alzheimer's risk yale
Women's Health Research at Yale collaborator Carolyn Fredericks, MD, assistant professor of neurology, has been working to understand AD and why it affects women disproportionately. Robust research shows that women clearly have an increased risk for AD compared to men. While there has been much research on AD, there are far fewer studies that take sex differences into account., specifically examines sex differences in DMN connectivity in healthy aging adults.
Using data from the Human Connectome Project-Aging, the team analyzed brain scans from patients who were in a state of wakeful rest. They found differences in how central communication points in the brain work for women and men. For example, in women compared to men, the parts of the DMN responsible for
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Scientists Develop a Cancer Vaccine to Simultaneously Kill and Prevent Brain CancerScientists Develop a Cancer Vaccine to Simultaneously Kill and Prevent Brain Cancer harvardmed BrighamWomens ScienceMagazine cancer cancervaccine braincancer vaccine vaccination
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NeuralTree: A 256-Channel 0.227-μJ/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoCClosed-loop neural interfaces with on-chip machine learning can detect and suppress disease symptoms in neurological disorders or restore lost functions in paralyzed patients. While high-density neural recording can provide rich neural activity information for accurate disease-state detection, existing systems have low channel counts and poor scalability, which could limit their therapeutic efficacy. This work presents a highly scalable and versatile closed-loop neural interface SoC that can overcome these limitations. A 256-channel time-division multiplexed (TDM) front end with a two-step fast-settling mixed-signal DC servo loop (DSL) is proposed to record high-spatial-resolution neural activity and perform channel-selective brain-state inference. A tree-structured neural network (NeuralTree) classification processor extracts a rich set of neural biomarkers in a patient- and disease-specific manner. Trained with an energy-aware learning algorithm, the NeuralTree classifier detects the symptoms of underlying disorders (e.g., epilepsy and movement disorders) at an optimal energy-accuracy tradeoff. A 16-channel high-voltage (HV) compliant neurostimulator closes the therapeutic loop by delivering charge-balanced biphasic current pulses to the brain. The proposed SoC was fabricated in 65-nm CMOS and achieved a 0.227- $\mu \text{J}$ /class energy efficiency in a compact area of 0.014 mm 2/channel. The SoC was extensively verified on human electroencephalography (EEG) and intracranial EEG (iEEG) epilepsy datasets, obtaining 95.6%/94% sensitivity and 96.8%/96.9% specificity, respectively. In vivo neural recordings using soft $\mu $ ECoG arrays and multi-domain biomarker extraction were further performed on a rat model of epilepsy. In addition, for the first time in literature, on-chip classification of rest-state tremor in Parkinson’s disease (PD) from human local field potentials (LFPs) was demonstrated.
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Amanda Holden looks incredible as she shows off toned legs in very short dress and heelsAMANDA Holden showed off her toned pins in a short navy blazer dress and high heels in the back of a car. The Britain’s Got Talent judge, 51, put on an eye-popping display as she flashed her …
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