Results 111 to 120 of about 3,042,234 (400)

The Case of a 67‐Year‐Old Man With Memory Difficulties and Altered Sleep

open access: yes
Annals of Clinical and Translational Neurology, EarlyView.
Wesley Peng, Borna Bonakdarpour
wiley   +1 more source

Alterations in gut microbiota and metabolites contribute to postoperative sleep disturbances

open access: yesAnimal Models and Experimental Medicine, EarlyView.
In this study, we classified postoperative patients into poor sleepers (PS) and good sleepers (GS) based on the bispectral index (BIS), and transplanted their fecal microbiota to pseudo‐germ‐free rats to analyze the sleep changes in rats and the potential mechanism.
Hui Zhong   +7 more
wiley   +1 more source

Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge Devices [PDF]

open access: yesarXiv, 2021
Neonatal seizures are a commonly encountered neurological condition. They are the first clinical signs of a serious neurological disorder. Thus, rapid recognition and treatment are necessary to prevent serious fatalities. The use of electroencephalography (EEG) in the field of neurology allows precise diagnosis of several medical conditions.
arxiv  

Psychoses of Epilepsy: Unravelling the Phenotypic and Genotypic Features

open access: yesAnnals of Neurology, EarlyView.
Objectives We analyzed the genotypic and phenotypic features of patients with psychosis of epilepsy (POE). Methods Patients with POE recruited to an epilepsy genetics research program underwent phenotyping and genetic analysis. The latter included screening for rare pathogenic variants in epilepsy genes, and polygenic risk score (PRS) calculation for ...
Genevieve Rayner   +4 more
wiley   +1 more source

Depression, subjective cognitive decline, and the risk of neurocognitive disorders

open access: yesAlzheimer's Research & Therapy, 2019
Depression and subjective cognitive decline (SCD) both predict neurocognitive disorders (NCD). However, the two correlate strongly with each other. It remains uncertain whether they reflect independent neurobiological underpinnings which deserve separate
T. Liew
semanticscholar   +1 more source

A Possible Association Between Executive Dysfunction and Frailty in Patients With Neurocognitive Disorders

open access: yesFrontiers in Psychology, 2020
Frailty is an age-related dynamic status, characterized by a reduced resistance to stressors due to the cumulative decline of multiple physiological systems.
Massimo Bartoli   +3 more
semanticscholar   +1 more source

Fluoxetine Treatment in Epilepsy of Infancy with Migrating Focal Seizures Due to KCNT1 Variants: An Open Label Study

open access: yesAnnals of Neurology, EarlyView.
Objective Gain‐of‐function (GoF) variants in KCNT1 encoding for potassium channels are associated with different epilepsy phenotypes, including epilepsy of infancy with migrating focal seizures (EIMFS), other early infantile developmental and epileptic encephalopathies, and focal epilepsy.
Marina Trivisano   +13 more
wiley   +1 more source

Neurocognitive, psychiatric, and substance use characteristics in a diverse sample of persons with OUD who are starting methadone or buprenorphine/naloxone in opioid treatment programs

open access: yesAddiction Science & Clinical Practice, 2021
Background Medications for opioid use disorder such as opioid agonist treatment (OAT, including methadone, buprenorphine) are the gold standard intervention for opioid use disorder (OUD).
Travis M. Scott   +5 more
doaj   +1 more source

Classification of Manifest Huntington Disease using Vowel Distortion Measures [PDF]

open access: yesarXiv, 2020
Huntington disease (HD) is a fatal autosomal dominant neurocognitive disorder that causes cognitive disturbances, neuropsychiatric symptoms, and impaired motor abilities (e.g., gait, speech, voice). Due to its progressive nature, HD treatment requires ongoing clinical monitoring of symptoms.
arxiv  

Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI [PDF]

open access: yesarXiv, 2023
Resting-state functional magnetic resonance imaging (rs-fMRI) can reflect spontaneous neural activities in brain and is widely used for brain disorder analysis.Previous studies propose to extract fMRI representations through diverse machine/deep learning methods for subsequent analysis.
arxiv  

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