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Mashup Score: 6
The emerging integration of Brain-Computer Interfaces (BCIs) in human-robot collaboration holds promise for dynamic adaptive interaction. The use of electroencephalogram (EEG)-measured error-related potentials (ErrPs) for online error detection in assistive devices offers a practical method for improving the reliability of such devices. However, continuous online error detection faces challenges such as developing efficient and lightweight classification techniques for quick predictions, reducing false alarms from artifacts, and dealing with the non-stationarity of EEG signals. Further research is essential to address the complexities of continuous classification in online sessions. With this study, we demonstrated a comprehensive approach for continuous online EEG-based machine error detection, which emerged as the winner of a competition at the 32nd International Joint Conference on Artificial Intelligence. The competition consisted of two stages: an offline stage for model developme
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Mashup Score: 12Brain organoids engineered to give rise to glia and neural networks after 90 days in culture exhibit human-specific proteoforms - 2 day(s) ago
Human brain organoids are emerging as translationally relevant models for the study of human brain health and disease. However, it remains to be shown whether human-specific protein processing is conserved in human brain organoids. Herein, we demonstrate that cell fate and composition of unguided brain organoids are dictated by culture conditions during embryoid body formation, and that culture conditions at this stage can be optimized to result in the presence of glia-associated proteins and neural network activity as early as three-months in vitro. Under these optimized conditions, unguided brain organoids generated from induced pluripotent stem cells (iPSCs) derived from male–female siblings are similar in growth rate, size, and total protein content, and exhibit minimal batch-to-batch variability in cell composition and metabolism. A comparison of neuronal, microglial, and macroglial (astrocyte and oligodendrocyte) markers reveals that profiles in these brain organoids are more sim
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Mashup Score: 10
Necrotizing enterocolitis (NEC) is a devastating disease of the neonatal intestine, causing widespread intestinal necrosis as well systemic illness that frequently results in death. Because the clinical onset of NEC is sudden and difficult to predict, NEC is considered an acute event. However, NEC does not occur in utero, meaning that postnatal exposures are required, and it does not typically occur right after birth, suggesting that longitudinal changes may be occurring before NEC can develop. In this perspective, the author considers whether NEC should be re-considered as a problem of disordered intestinal epithelial development, with required maladaptation over time prior to the onset of the necrotic event. This framework is similar to how bronchopulmonary dysplasia is currently conceptualized. They also advocate that NEC researchers incorporate this possibility into future studies on NEC susceptibility and pathogenesis. Department of Pediatrics, and the Harvard Digestive Disease Ce
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Mashup Score: 7Laparoscopic-assisted distal colon excision and proximal colon pull-through anorectoplasty for anorectal malformation - 3 day(s) ago
PurposeDuring the second stage surgery for anorectal malformations (ARM), patients whose distal intestine of the colostomy is particularly short underwent laparoscopic-assisted distal colon excision and proximal colon pull-through anorectoplasty (PCPARP). This study aimed to discuss the outcomes of PCPARP after colostomy in patients with ARM.MethodsThis is a single-center propensity score-matched (PSM) study which was retrospectively initiated patients with intermediate- or high-type ARM who underwent laparoscopic surgery from June 2007 to December 2018. These patients were divided into PCPARP group and conventional laparoscopic-assisted anorectoplasty (LAARP) group according to specific surgical methods. The general data, surgical data, postoperative complications, and functional results were evaluated.ResultsIn total, 216 patients were included in this study: 190 (88.0%) undergoing LAARP approach and 26 (12.0%) undergoing PCPARP approach. After PSM, two well-balanced groups of 26 pat
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Mashup Score: 6Frontiers ⎮ Participate in "Machine Learning Algorithms for Brain Imaging: New Frontiers in Neurodiagnostics and Treatment" - 3 day(s) ago
Participate in the open-access Research topic entitled “Machine Learning Algorithms for Brain Imaging: New Frontiers in Neurodiagnostics and Treatment”
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Mashup Score: 5Frontiers | Effect of gut hormones on bone metabolism and their possible mechanisms in the treatment of osteoporosis - 5 day(s) ago
Bone is a highly dynamic organ that changes with the daily circadian rhythm. During the day, bone resorption is suppressed due to eating, while it increases …
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Mashup Score: 6
BackgroundSMARCA4, the essential ATPase subunit of SWI/SNF chromatin remodeling complex, regulates transcription through the control of chromatin structure a…
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Mashup Score: 14Novel Approaches to Targeting the Vasculature and Metabolome to Prevent Brain Aging and Related Diseases - 7 day(s) ago
The human brain is highly metabolically active and expends about 20% of the body’s energy just for normal functioning. Neuronal activation locally leads to a transient increase in cerebral blood flow – a process called neurovascular coupling, thus ensuring that bioenergetic substrates are efficiently delivered to that region of the brain. Neurovascular coupling is brought about by the coordinated action of neurons, astrocytes and other glial cells, and endothelial cells and smooth muscle cells forming the blood vessels, collectively termed as the neurovascular unit. The neurovascular unit also functions to keep the blood brain barrier (BBB) intact. Normal neurovascular and neurometabolic coupling as well as BBB function are essential to maintain brain homeostasis and for proper cognitive function. As the brain ages, there is significant impairment of neurovascular coupling and the integrity of the BBB which leads to insufficient blood flow to the brain, reduced delivery of oxygen and b
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Mashup Score: 2Application of Chatbot Natural Language Processing Models to Psychotherapy and Behavioral Mood Health - 7 day(s) ago
The prevalence of mental health issues is rapidly increasing worldwide, whereas the gap between the need for treatment and the capacity to deliver it, is constantly increasing even in high-income countries. Though the COVID-19 pandemic had detrimental mental health consequences, including decreased cognition, decreased focus, performance problems, and changes in mood and behavior, it also offered new and advanced digital health applications within the fields of psychiatry and psychotherapy. These tools offer a promising new avenue for approaching mental health issues via a complementary to traditional care channel, that offers scalable interventions even in cases of lack of physical contact between the patient and the carer.The tremendous increase in Artificial Intelligence (AI) applications allows the early identification of mood disorders and digital psychological interventions. Natural Language Processing (NLP) techniques enable computers to understand unstructured text from social
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🚀Submissions Open! @chfrantz E. Peristeri S. Ananiadou & K. Denecke are exploring the impact of #NLP in #digitalpsychiatry & #psychotherapy 👉https://t.co/lHVnS4tQXw Share insights on AI-driven solutions' effectiveness in #DigitalHealth #NLPResearch early identification of… https://t.co/9TDakB09ev https://t.co/If1EQywXde
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Mashup Score: 3Neuroenergetics in Health and Disease - 7 day(s) ago
Bioenergetics play a crucial role in maintaining healthy neuronal functions. Understanding the intricate mechanisms underlying the bioenergetic requirements of neurons is vital for unraveling the energy dysfunctions associated with aging, neurodegenerative disorders, and traumatic brain injury.Through an interdisciplinary approach combining neuroscience, molecular biology, and biochemistry, this Research Topic aims to identify and characterize the specific metabolic pathways, cellular processes, and energy utilization patterns that support healthy neuronal function. By uncovering the unique bioenergetic demands of neurons, we can gain valuable insights into the vulnerabilities of these energy-intensive cells.In this way, the Research Topic seeks to investigate the consequences of energy dysfunction in aging, neurodegenerative conditions such as Alzheimer’s, Parkinson’s, and Huntington’s diseases, as well as traumatic brain injury. By scrutinizing the alterations in neuroenergetic profi
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New Research: Advancing passive BCIs: a feasibility study of two temporal derivative features and effect size-based feature selection in continuous online EEG-based machine error detection https://t.co/FbxNYcpFEQ #neuroergonomics