AI SummaryTamar Regev, a postdoctoral fellow, has discovered a new neural system related to auditory hallucinations in patients with schizophrenia. Regev aims to understand how this system, along with speech and language processing systems, may be impacted in neuropsychiatric disorders in order to develop interventions. She is using EEG and fMRI techniques to examine brain… Continue reading Unpacking auditory hallucinations
Tag: Clinical and Applied Neuroscience
Teaching NeuroImage: Sudden Bilateral Sensorineural Hearing Loss Due to Vertebrobasilar Ischemia
AI SummaryA 56-year-old woman with a history of hypertension, hyperlipidemia, and tobacco use experienced sudden hearing loss and vertigo. The physical examination revealed abnormal eye movements, hearing loss, and difficulty with balance. Neuroimaging showed blocked blood vessels and strokes in the brain. Sudden sensorineural hearing loss is a rare condition that can be caused by… Continue reading Teaching NeuroImage: Sudden Bilateral Sensorineural Hearing Loss Due to Vertebrobasilar Ischemia
Using the tools of neuroscience to personalize medicine
Graduate student Sadie Zacharek. Photo: Steph Stevens From summer internships as an undergraduate studying neuroscience at the University of Notre Dame, Sadie Zacharek developed interests in areas ranging from neuroimaging to developmental psychopathologies, from basic-science research to clinical translation. When she interviewed with John Gabrieli, the Grover Hermann Professor of Health Sciences and Technology and… Continue reading Using the tools of neuroscience to personalize medicine
[Articles] The Neurological Pupil index for outcome prognostication in people with acute brain injury (ORANGE): a prospective, observational, multicentre cohort study
AI SummaryAutomated pupillometry can be used to assess neurological outcomes and predict mortality after acute brain injuries, improving bedside monitoring.NPi has clinically and statistically significant prognostic value for neurological outcome and mortality after acute brain injury. Simple, automatic, repeat automated pupillometry assessment could improve the continuous monitoring of disease progression and the dynamics of outcome… Continue reading [Articles] The Neurological Pupil index for outcome prognostication in people with acute brain injury (ORANGE): a prospective, observational, multicentre cohort study
[Comment] The prognostic potential of pupillometry in patients with acute brain injury
AI SummaryPupillary assessment is important for diagnosing neurological impairment, as abnormal or absent pupil reactivity can indicate a neurological emergency. However, the subjectivity and lack of reliability of pupil assessments have limited the diagnostic and prognostic potential of longitudinal pupillometry.Pupillary assessment is highly regarded by clinicians who are responsible for diagnosing neurological impairment. Abnormal or… Continue reading [Comment] The prognostic potential of pupillometry in patients with acute brain injury
[Review] Insights into migraine attacks from neuroimaging
AI SummaryMigraine is a neurological disease with significant social and personal consequences. Neuroimaging studies have revealed that specific brain areas are involved in the various phases of migraine, contributing to the onset of pain and associated symptoms.Migraine is one of the most common neurological diseases and it has a huge social and personal impact. Although… Continue reading [Review] Insights into migraine attacks from neuroimaging
Dissociating distinct cortical networks associated with subregions of the human medial temporal lobe using precision neuroimaging
Using individualized neuroimaging, Reznik et al. find that different subregions of the human memory system are associated with at least three distributed cortical networks. Comparison to non-human primate connectivity data suggests that some anatomical pathways are potentially not present in humans, some are preserved, and some are potentially new.
Scientists discover anatomical changes in the brains of the newly sighted
AI SummaryRecent research from MIT Professor Pawan Sinha reveals that there is a longer window of brain plasticity for visual tasks than previously believed, as older children with congenital cataracts can learn visual skills such as recognizing faces and distinguishing objects from a background after their sight is restored through surgery. The researchers have also… Continue reading Scientists discover anatomical changes in the brains of the newly sighted