Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Anar Amgalan"'
Autor:
Nicholas Parsons, Andrei Irimia, Anar Amgalan, Julien Ugon, Kerri Morgan, Sergiy Shelyag, Alex Hocking, Govinda Poudel, Karen Caeyenberghs
Publikováno v:
NeuroImage: Clinical, Vol 38, Iss , Pp 103428- (2023)
An emerging body of work has revealed alterations in structural (SC) and functional (FC) brain connectivity following mild TBI (mTBI), with mixed findings. However, these studies seldom integrate complimentary neuroimaging modalities within a unified
Externí odkaz:
https://doaj.org/article/0ec54d97676e49b2a406dcff63a4fca5
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Brains demonstrate varying spatial scales of nested hierarchical clustering. Identifying the brain’s neuronal cluster size to be presented as nodes in a network computation is critical to both neuroscience and artificial intelligence, as t
Externí odkaz:
https://doaj.org/article/4437a08b9cd74b978b311f5678a4bb4a
Autor:
Anar Amgalan, Alexander S. Maher, Phoebe Imms, Michelle Y. Ha, Timothy A. Fanelle, Andrei Irimia
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2022)
Neural and cognitive deficits after mild traumatic brain injury (mTBI) are paralleled by changes in resting state functional correlation (FC) networks that mirror post-traumatic pathophysiology effects on functional outcomes. Using functional magneti
Externí odkaz:
https://doaj.org/article/7abc73dad0604f359c895e8f015503a8
Autor:
Rajat Kumar, Lilianne R. Mujica-Parodi, Michael Wenke, Anar Amgalan, Andrew Lithen, Sindhuja T. Govindarajan, Rany Makaryus, Helene Benveniste, Helmut H. Strey
Publikováno v:
Pharmaceutics, Vol 13, Iss 12, p 2069 (2021)
Substance abuse is a fundamentally dynamic disease, characterized by repeated oscillation between craving, drug self-administration, reward, and satiety. To model nicotine addiction as a control system, a magnetic resonance imaging (MRI)-compatible n
Externí odkaz:
https://doaj.org/article/d89e58a74e3c44e49cda5130f84b9804
Publikováno v:
GeroScience
Adults aged 60 and over are most vulnerable to mild traumatic brain injury (mTBI). Nevertheless, the extent to which chronological age (CA) at injury affects TBI-related brain aging is unknown. This study applies Gaussian process regression to T(1)-w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5405f90c3e5c8fb8344a8bb1cab27cf
https://doi.org/10.1007/s11357-022-00597-1
https://doi.org/10.1007/s11357-022-00597-1
Autor:
Alexander F Shida, Roy J Massett, Phoebe Imms, Ramanand V Vegesna, Anar Amgalan, Andrei Irimia
Publikováno v:
The Journals of Gerontology: Series A.
Brain regions’ rates of age-related volumetric change after traumatic brain injury (TBI) are unknown. Here, we quantify these rates cross-sectionally in 113 persons with recent mild TBI (mTBI), whom we compare against 3 418 healthy controls (HCs).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4f52ed2652204acc454cb978e872b3d
https://doi.org/10.1093/gerona/glad079
https://doi.org/10.1093/gerona/glad079
Autor:
Chenzhong, Yin, Phoebe, Imms, Mingxi, Cheng, Anar, Amgalan, Nahian F, Chowdhury, Roy J, Massett, Nikhil N, Chaudhari, Xinghe, Chen, Paul M, Thompson, Paul, Bogdan, Andrei, Irimia
Publikováno v:
Proceedings of the National Academy of Sciences. 120
The gap between chronological age (CA) and biological brain age, as estimated from magnetic resonance images (MRIs), reflects how individual patterns of neuroanatomic aging deviate from their typical trajectories. MRI-derived brain age (BA) estimates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70025495ac89ae7f8b0f6b8de40517b6
https://doi.org/10.1073/pnas.2214634120
https://doi.org/10.1073/pnas.2214634120
Autor:
Roy J, Massett, Alexander S, Maher, Phoebe E, Imms, Anar, Amgalan, Nikhil N, Chaudhari, Nahian F, Chowdhury, Andrei, Irimia
Publikováno v:
The journals of gerontology. Series A, Biological sciences and medical sciences.
The biological age of the brain differs from its chronological age (CA) and can be used as biomarker of neural/cognitive disease processes and as predictor of mortality. Brain age (BA) is often estimated from magnetic resonance images (MRIs) using ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca9113f40f87a71900c701ac9326bc19
https://pubmed.ncbi.nlm.nih.gov/36183259
https://pubmed.ncbi.nlm.nih.gov/36183259
Publikováno v:
Alzheimer's & Dementia. 17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4502edf76cf0893008d8b439c4784a1d
https://doi.org/10.1002/alz.054779
https://doi.org/10.1002/alz.054779
Autor:
Anar Amgalan, Lilianne R. Mujica-Parodi, Helena van Nieuwenhuizen, Botond Antal, Rostam M. Razban, Ken A. Dill, Corey Weistuch
Publikováno v:
Proc Natl Acad Sci U S A
Brain aging is associated with hypometabolism and global changes in functional connectivity. Using functional MRI (fMRI), we show that network synchrony, a collective property of brain activity, decreases with age. Applying quantitative methods from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0ba1cd8167969986d8511c3b3673232
https://doi.org/10.1073/pnas.2025727118
https://doi.org/10.1073/pnas.2025727118