Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Xiaoping P, Hu"'
Locus coeruleus contrast and diffusivity metrics differentially relate to age and memory performance
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Neurocognitive aging researchers are increasingly focused on the locus coeruleus, a neuromodulatory brainstem structure that degrades with age. With this rapid growth, the field will benefit from consensus regarding which magnetic resonance
Externí odkaz:
https://doaj.org/article/a1a0819917534a0391b1d41091b339fd
Autor:
Sana Hussain, Isaac Menchaca, Mahsa Alizadeh Shalchy, Kimia Yaghoubi, Jason Langley, Aaron R. Seitz, Xiaoping P. Hu, Megan A.K. Peters
Publikováno v:
Brain Research Bulletin, Vol 202, Iss , Pp 110733- (2023)
The locus coeruleus (LC), a small subcortical structure in the brainstem, is the brain’s principal source of norepinephrine. It plays a primary role in regulating stress, the sleep-wake cycle, and attention, and its degradation is associated with a
Externí odkaz:
https://doaj.org/article/6264fbc991c6442ba2a345a054a7902f
Publikováno v:
PLoS ONE, Vol 18, Iss 4, p e0282684 (2023)
Patients with Parkinson's disease undergo a loss of melanized neurons in substantia nigra pars compacta and locus coeruleus. Very few studies have assessed substantia nigra pars compacta and locus coeruleus pathology in Parkinson's disease simultaneo
Externí odkaz:
https://doaj.org/article/5d11491dec514b478ed05c9c74c1dc54
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
IntroductionStriatal dopamine transporter (DAT) imaging using 123I-ioflupane single photon positron emitted computed tomography (SPECT) (DaTScan, GE) identifies 5−20% of newly diagnosed Parkinson’s disease (PD) subjects enrolling in clinical stud
Externí odkaz:
https://doaj.org/article/9833565d720f4f38b70f3ee490440e10
Publikováno v:
Network Neuroscience, Vol 5, Iss 1, Pp 83-95 (2021)
AbstractThere have been successful applications of deep learning to functional magnetic resonance imaging (fMRI), where fMRI data were mostly considered to be structured grids, and spatial features from Euclidean neighbors were usually extracted by t
Externí odkaz:
https://doaj.org/article/78d86da231f14d529bdb74d2a1a0f9c4
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
Background: Multi-site functional MRI (fMRI) databases are becoming increasingly prevalent in the study of neurodevelopmental and psychiatric disorders. However, multi-site databases are known to introduce site effects that may confound neurobiologic
Externí odkaz:
https://doaj.org/article/563ba66469a5488ea1c832fe160e1873
Publikováno v:
Brain Connectivity. 13:154-163
IntroductionHidden Markov models are a popular choice to extract and examine recurring patterns of activity or functional connectivity in neuroimaging data, both in terms of spatial patterns and their temporal progression. Although many diverse hidde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::720b12f00c65c2453ffafd7994f02789
https://doi.org/10.1089/brain.2022.0031
https://doi.org/10.1089/brain.2022.0031
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Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
In most task and resting state fMRI studies, a group consensus is often sought, where individual variability is considered a nuisance. None the less, biological variability is an important factor that cannot be ignored and is gaining more attention i
Externí odkaz:
https://doaj.org/article/cdaca162832944d083cfc3d031747d4d
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
Significance: Autism is a developmental disorder that is currently diagnosed using behavioral tests which can be subjective. Consequently, objective non-invasive imaging biomarkers of Autism are being actively researched. The common theme emerging fr
Externí odkaz:
https://doaj.org/article/f1ea05a89f734274b5506f01e15bea96