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The concept behind Blindsight involves leveraging brain-machine interfaces (BMIs) to restore or even enhance sensory perception in individuals who have lost their sight. The goal is to bypass damaged or non-functional parts of the visual system by directly interfacing with the brain’s visual cortex, allowing users to see using digital inputs processed by the Neuralink implant.

The idea is that the implant could take visual information from cameras or other sensors and transmit it directly to the brain, potentially allowing users to perceive images or their surroundings without relying on their natural eyes.

Summary: Researchers have identified a protein complex, TrkC-PTPσ, that plays a key role in the structural organization of synapses in the brain, impacting cognitive behaviors. By studying this complex, scientists uncovered how it regulates synaptic protein phosphorylation, essential for healthy brain function. Disruptions in this protein complex led to anxiety-like behaviors in mice, providing insights into mental health conditions like anxiety and autism.

The study sheds light on synaptic mechanisms that could help develop new therapeutic strategies. These findings advance our understanding of synapse function and its role in cognitive disorders, bringing hope for targeted treatment options in the future.

Although intracranial atherosclerotic disease (ICAD) is a known risk factor for cerebrovascular ischemic events, its potential role in dementia risk remains unclear. The Atherosclerosis Risk in Communities (ARIC) study was a prospective cohort study that recruited participants from four U.S. communities. From 2011 to 2013, a subset comprising 1,590 participants (mean age, 77; 40% men; 28% Black) underwent ICAD evaluation and neurocognitive testing to ascertain the prospective association of ICAD with dementia risk, independent of other known cardiovascular risk factors. ICAD was diagnosed based on focal-wall thickness on brain MRI, with or without luminal stenosis on magnetic resonance angiography (MRA).

During a median follow-up of 5.6 years, 286 cases of incident dementia were observed. After adjustment for established dementia risk factors, including cardiovascular risk factors, patients with ICAD (regardless of luminal stenosis) had an independently higher risk for incident dementia than those without ICAD (HR, 1.57; 95% CI, 1.17–2.11). The presence of stenosis 50% on MRA was associated with even higher risk (HR, 1.89; 95% CI, 1.29–2.78). An important limitation was the investigators’ inability to determine dementia subtypes.

This prospective trial adds further observational evidence that ICAD is independently associated with dementia. Furthermore, this study provides evidence that earlier stages of atherosclerosis (i.e., involvement of the arterial wall without luminal narrowing) are also associated with increased risk. While the pathophysiology of this association has yet to be elucidated, I will counsel my patients with ICAD about this association and will strongly recommend proven management strategies (e.g., smoking cessation, lipid lowering) to mitigate vascular disease progression, given the higher risk of dementia in those with luminal disease.

Abstract. Intelligence describes the general cognitive ability level of a person. It is one of the most fundamental concepts in psychological science and is crucial for the effective adaption of behavior to varying environmental demands. Changing external task demands have been shown to induce reconfiguration of functional brain networks. However, whether neural reconfiguration between different tasks is associated with intelligence has not yet been investigated. We used functional magnetic resonance imaging data from 812 subjects to show that higher scores of general intelligence are related to less brain network reconfiguration between resting state and seven different task states as well as to network reconfiguration between tasks. This association holds for all functional brain networks except the motor system and replicates in two independent samples (n = 138 and n = 184). Our findings suggest that the intrinsic network architecture of individuals with higher intelligence scores is closer to the network architecture as required by various cognitive demands. Multitask brain network reconfiguration may, therefore, represent a neural reflection of the behavioral positive manifold – the essence of the concept of general intelligence. Finally, our results support neural efficiency theories of cognitive ability and reveal insights into human intelligence as an emergent property from a distributed multitask brain network.

Source: University of Pittsburgh.

Higher levels of HDL-C—known as the “good cholesterol”—have been shown to correlate with heightened risk for Alzheimer’s disease.

A new study published in the Journal of Clinical Endocrinology & Metabolism might explain why.

Summary: New research demonstrates that learning a second language enhances brain connectivity, particularly when started in childhood. Scientists found that bilingual individuals have more efficient communication between brain regions, notably between the cerebellum and left frontal cortex.

The study, which used whole-brain fMRI scans, shows this effect increases the younger a second language is learned, suggesting an early boost to cognitive flexibility and neuroplasticity. This heightened connectivity may improve cognitive performance and resilience to age-related decline. The findings contribute to understanding bilingualism’s broader impact on the brain and could have implications for education and brain health.

Summary: A new study has identified a brain protein, vesicular nucleotide transporter (Vnut), as essential for regulating mood and motivation in mice. When Vnut was removed from brain cells called astrocytes, the mice displayed higher anxiety, depression-like behavior, and decreased motivation, especially in females.

This effect was linked to reduced dopamine, a key molecule for motivation and positive mood. These findings suggest Vnut plays a vital role in dopamine regulation, with potential implications for understanding mood disorders.

A new computer simulation of how our brains develop and grow neurons has been built by scientists from the University of Surrey. Along with improving our understanding of how the brain works, researchers hope that the models will contribute to neurodegenerative disease research and, someday, stem cell research that helps regenerate brain tissue.

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Description of the video:
This video is about how memories are stored in the brain. We are exploring how with an experiment, called long-term potentiation (LTP), we can modulate the strength of the connection between neurons. Combining filming in the laboratory with the use of bioinformatic tools and animation, we try to illustrate the cellular and molecular basis of this phenomenon.

Author: Tanja Fuchsberger, Department of Physiology, Development and Neuroscience. University of Cambridge. UK
Music: Composed by Juan Manuel Pastor Labrandero (from the band Johnny B. Zero https://www.johnny-b-zero.com/)