[HTML][HTML] A systematic review of the relationship between magnetic resonance imaging based resting-state and structural networks in the rodent brain

FSN Mahani, A Kalantari, GR Fink, M Hoehn… - Frontiers in …, 2023 - frontiersin.org
Recent developments in rodent brain imaging have enabled translational characterization of
functional and structural connectivity at the whole brain level in vivo. Nevertheless …

Identifying vulnerable brain networks associated with Alzheimer's disease risk

A Mahzarnia, JA Stout, RJ Anderson, HS Moon… - Cerebral …, 2023 - academic.oup.com
The selective vulnerability of brain networks in individuals at risk for Alzheimer's disease
(AD) may help differentiate pathological from normal aging at asymptomatic stages, allowing …

[HTML][HTML] Resolution and b value dependent structural connectome in ex vivo mouse brain

S Crater, S Maharjan, Y Qi, Q Zhao, G Cofer, JC Cook… - Neuroimage, 2022 - Elsevier
Diffusion magnetic resonance imaging has been widely used in both clinical and preclinical
studies to characterize tissue microstructure and structural connectivity. The diffusion MRI …

[HTML][HTML] Towards reliable reconstruction of the mouse brain corticothalamic connectivity using diffusion MRI

TM Arefin, CH Lee, Z Liang, H Rallapalli, YZ Wadghiri… - Neuroimage, 2023 - Elsevier
Diffusion magnetic resonance imaging (dMRI) tractography has yielded intriguing insights
into brain circuits and their relationship to behavior in response to gene mutations or …

[HTML][HTML] Accelerated brain atrophy, microstructural decline and connectopathy in age-related macular degeneration

JA Stout, A Mahzarnia, R Dai, RJ Anderson, S Cousins… - Biomedicines, 2024 - mdpi.com
Age-related macular degeneration (AMD) has recently been linked to cognitive impairment.
We hypothesized that AMD modifies the brain aging trajectory, and we conducted a …

[HTML][HTML] High-resolution multi-shot diffusion imaging of structural networks in healthy neurocognitive aging

JL Merenstein, J Zhao, HA Mullin, MD Rudolph… - NeuroImage, 2023 - Elsevier
Healthy neurocognitive aging has been associated with the microstructural degradation of
white matter pathways that connect distributed gray matter regions, assessed by diffusion …

[HTML][HTML] Structural interhemispheric connectivity defects in mouse models of BBSOAS: Insights from high spatial resolution 3D white matter tractography

JC Deloulme, M Leclercq, O Deschaux, G Flore… - Neurobiology of …, 2024 - Elsevier
White matter (WM) tract formation and axonal pathfinding are major processes in brain
development allowing to establish precise connections between targeted structures …

[HTML][HTML] Intra-Atlas Node Size Effects on Graph Metrics in fMRI Data: Implications for Alzheimer's Disease and Cognitive Impairment

S Kolla, H Falakshahi, A Abrol, Z Fu, VD Calhoun - Sensors, 2024 - mdpi.com
Network neuroscience, a multidisciplinary field merging insights from neuroscience and
network theory, offers a profound understanding of neural network intricacies. However, the …

[HTML][HTML] Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer's …

HS Moon, A Mahzarnia, J Stout, RJ Anderson… - bioRxiv, 2023 - ncbi.nlm.nih.gov
Alzheimer's disease (AD) remains one of the most extensively researched
neurodegenerative disorders due to its widespread prevalence and complex risk factors …

[HTML][HTML] Magnetic resonance imaging in multiple sclerosis animal models: A systematic review, meta-analysis, and white paper

BV Ineichen, P Sati, T Granberg, M Absinta, NJ Lee… - NeuroImage: Clinical, 2020 - Elsevier
Magnetic resonance imaging (MRI) is the most important paraclinical tool for assessing drug
response in multiple sclerosis (MS) clinical trials. As such, MRI has also been widely used in …