Articles with "multimodal neuroimaging" as a keyword



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Multimodal Neuroimaging of Intimal Flap in a Basilar Artery Dissection.

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Published in 2023 at "JAMA neurology"

DOI: 10.1001/jamaneurol.2023.0126

Abstract: This case report describes a spontaneous dissection of the basilar artery in a 53-year-old man presenting with ischemic stroke. read more here.

Keywords: neuroimaging intimal; multimodal neuroimaging; intimal flap; basilar artery ... See more keywords
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A proof of concept machine learning analysis using multimodal neuroimaging and neurocognitive measures as predictive biomarker in bipolar disorder.

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Published in 2020 at "Asian journal of psychiatry"

DOI: 10.1016/j.ajp.2020.101984

Abstract: BACKGROUND Concomitant use of complementary, multimodal imaging measures and neurocognitive measures is reported to have higher accuracy as a biomarker in Alzheimer's dementia. However, such an approach has not been examined to differentiate healthy individuals… read more here.

Keywords: bipolar disorder; multimodal neuroimaging; machine learning; neurocognitive measures ... See more keywords
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Multimodal Neuroimaging based Alzheimer's Disease Diagnosis using Evolutionary RVFL Classifier.

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Published in 2023 at "IEEE journal of biomedical and health informatics"

DOI: 10.1109/jbhi.2023.3242354

Abstract: Alzheimer's disease (AD) is one of the most known causes of dementia which can be characterized by continuous deterioration in the cognitive skills of elderly people. It is a non-reversible disorder that can only be… read more here.

Keywords: neuroimaging based; rvfl; multimodal neuroimaging; disease ... See more keywords
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Application of Multimodal Neuroimaging in the Treatment of Neurological Patients

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Published in 2022 at "Computational and Mathematical Methods in Medicine"

DOI: 10.1155/2022/5502213

Abstract: Objective In order to study the application of multimodal neuroimaging in the treatment of neurological patients, the brain of patients was scanned and identified through multimodal neuroimaging, so as to provide basis for doctors to… read more here.

Keywords: application multimodal; multimodal neuroimaging; neuroimaging treatment; neurological patients ... See more keywords
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Prediction and Modeling of Neuropsychological Scores in Alzheimer’s Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks

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Published in 2021 at "Frontiers in Computational Neuroscience"

DOI: 10.3389/fncom.2021.769982

Abstract: Background: In recent years, predicting and modeling the progression of Alzheimer’s disease (AD) based on neuropsychological tests has become increasingly appealing in AD research. Objective: In this study, we aimed to predict the neuropsychological scores… read more here.

Keywords: neuropsychological scores; artificial neural; neuroimaging data; multimodal neuroimaging ... See more keywords

Multimodal Neuroimaging Approach to Variability of Functional Connectivity in Disorders of Consciousness: A PET/MRI Pilot Study

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Published in 2018 at "Frontiers in Neurology"

DOI: 10.3389/fneur.2018.00861

Abstract: Behavioral assessments could not suffice to provide accurate diagnostic information in individuals with disorders of consciousness (DoC). Multimodal neuroimaging markers have been developed to support clinical assessments of these patients. Here we present findings obtained… read more here.

Keywords: disorders consciousness; multimodal neuroimaging; connectivity; variability ... See more keywords
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Multimodal Neuroimaging in Rett Syndrome With MECP2 Mutation

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Published in 2022 at "Frontiers in Neurology"

DOI: 10.3389/fneur.2022.838206

Abstract: Rett syndrome (RTT) is a rare neurodevelopmental disorder characterized by severe cognitive, social, and physical impairments resulting from de novo mutations in the X-chromosomal methyl-CpG binding protein gene 2 (MECP2). While there is still no… read more here.

Keywords: neuroimaging rett; rett syndrome; syndrome mecp2; mecp2 mutation ... See more keywords
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Multimodal Neuroimaging Predictors of Learning Performance of Sensorimotor Rhythm Up-Regulation Neurofeedback

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Published in 2021 at "Frontiers in Neuroscience"

DOI: 10.3389/fnins.2021.699999

Abstract: Electroencephalographic (EEG) neurofeedback (NFB) is a popular neuromodulation method to help one selectively enhance or inhibit his/her brain activities by means of real-time visual or auditory feedback of EEG signals. Sensory motor rhythm (SMR) NFB… read more here.

Keywords: learning performance; nfb learning; multimodal neuroimaging; nfb training ... See more keywords
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Identifying the neural marker of chronic sciatica using multimodal neuroimaging and machine learning analyses

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Published in 2022 at "Frontiers in Neuroscience"

DOI: 10.3389/fnins.2022.1036487

Abstract: Introduction Sciatica is a pain disorder often caused by the herniated disk compressing the lumbosacral nerve roots. Neuroimaging studies have identified functional abnormalities in patients with chronic sciatica (CS). However, few studies have investigated the… read more here.

Keywords: machine; chronic sciatica; neural marker; multimodal neuroimaging ... See more keywords