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Mind in others' shoes: Neuroscientific protocol for external referent decision awareness (ERDA) in organizations.

Neuroscience

January 2025

International research center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, Milan, Italy; Research Unit in Affective and Social Neuroscience, Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.

This study investigates the neural and physiological mechanisms underlying External Referent Decision Awareness (ERDA) within organizational contexts, focusing on hierarchical roles (Head, Peer, Staff). Twenty-two professionals participated, and electroencephalographic (EEG frequency band: Delta, Theta, Alpha, Beta, Gamma) and autonomic indices (skin conductance and cardiovascular indices) were recorded, while personality traits and decision-making styles were assessed. Results revealed higher Delta and Theta activation in the left temporo-parietal junction (TPJ) during Peer-related decisions, reflecting increased social cognition and ambiguity regulation in those contexts.

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Objective: This study aimed to compare the clinical outcomes of midazolam and dexmedetomidine combined with ropivacaine-induced thoracic paravertebral nerve block (TPVB) in radical lung cancer surgery.

Methods: To retrospectively analyze the clinical data of elderly patients who underwent thoracoscopic radical lung cancer surgery from March 2020 to February 2023 in our hospital. All patients underwent a single two-site method of TPVB at the levels of T4 and T7 under ultrasound guidance.

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Lennox-Gastaut syndrome (LGS) is a severe developmental and epileptic encephalopathy characterized by multiple drug-resistant seizure types, cognitive impairment, and distinctive electroencephalographic patterns. Neuromodulation techniques, including vagus nerve stimulation (VNS), deep brain stimulation (DBS), and responsive neurostimulation (RNS), have emerged as important treatment options for patients with LGS who do not respond adequately to antiseizure medications. This review, developed with input from the Pediatric Epilepsy Research Consortium (PERC) LGS Special Interest Group, provides practical guidance for clinicians on the use of these neuromodulation approaches in patients with LGS.

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Emotion Classification from Electroencephalographic Signals Using Machine Learning.

Brain Sci

November 2024

Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma de Baja California, Calzada Universidad 14418, Parque Industrial Internacional, Tijuana 22390, Mexico.

Background: Emotions significantly influence decision-making, social interactions, and medical outcomes. Leveraging emotion recognition through Electroencephalography (EEG) signals offers potential advancements in personalized medicine, adaptive technologies, and mental health diagnostics. This study aimed to evaluate the performance of three neural network architectures-ShallowFBCSPNet, Deep4Net, and EEGNetv4-for emotion classification using the SEED-V dataset.

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Postoperative delirium (POD) represents a common neurological complication encountered predominantly among the elderly cohort undergoing surgical intervention for hip fractures. This phenomenon, particularly commonplace in geriatric populations with heightened preoperative risk profiles, pronounced comorbidities, and later stages of lifespan, poses complex clinical challenges. The impact of perioperative pharmacological interventions and anesthetic strategies on POD's emergence cannot be understated, as it may profoundly affect the length of hospital stays, rehabilitation milestones, and the overall mortality hazard.

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