Cargando…
Identification of chronic mild traumatic brain injury using resting state functional MRI and machine learning techniques
Mild traumatic brain injury (mTBI) is a major public health concern that can result in a broad spectrum of short-term and long-term symptoms. Recently, machine learning (ML) algorithms have been used in neuroscience research for diagnostics and prognostic assessment of brain disorders. The present s...
Autores principales: | Vedaei, Faezeh, Mashhadi, Najmeh, Zabrecky, George, Monti, Daniel, Navarreto, Emily, Hriso, Chloe, Wintering, Nancy, Newberg, Andrew B., Mohamed, Feroze B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869678/ https://www.ncbi.nlm.nih.gov/pubmed/36699521 http://dx.doi.org/10.3389/fnins.2022.1099560 |
Ejemplares similares
-
Resting-State Functional MRI Metrics in Patients With Chronic Mild Traumatic Brain Injury and Their Association With Clinical Cognitive Performance
por: Vedaei, Faezeh, et al.
Publicado: (2021) -
Machine learning-based classification of chronic traumatic brain injury using hybrid diffusion imaging
por: Muller, Jennifer J., et al.
Publicado: (2023) -
Alterations in Functional Connectivity Measured by Functional Magnetic Resonance Imaging and the Relationship With Heart Rate Variability in Subjects After Performing Orgasmic Meditation: An Exploratory Study
por: Newberg, Andrew B., et al.
Publicado: (2021) -
N-acetyl cysteine administration affects cerebral blood flow as measured by arterial spin labeling MRI in patients with multiple sclerosis
por: Shahrampour, Shiva, et al.
Publicado: (2021) -
Alterations in cerebral glucose metabolism as measured by (18)F-fluorodeoxyglucose-PET in patients with persistent postconcussion syndrome
por: Teichner, Eric M., et al.
Publicado: (2021)