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@ARTICLE{VanderLinden:1005754,
author = {Van der Linden, Annemie and Hoehn, Mathias},
title = {{M}onitoring {N}euronal {N}etwork {D}isturbances of {B}rain
{D}iseases: {A} {P}reclinical {MRI} {A}pproach in the
{R}odent {B}rain},
journal = {Frontiers in cellular neuroscience},
volume = {15},
issn = {1662-5102},
address = {Lausanne},
publisher = {Frontiers Research Foundation},
reportid = {FZJ-2023-01608},
pages = {815552},
year = {2022},
abstract = {Functional and structural neuronal networks, as recorded by
resting-state functional MRI and diffusion MRI-based
tractography, gain increasing attention as data driven whole
brain imaging methods not limited to the foci of the primary
pathology or the known key affected regions but permitting
to characterize the entire network response of the brain
after disease or injury. Their connectome contents thus
provide information on distal brain areas, directly or
indirectly affected by and interacting with the primary
pathological event or affected regions. From such
information, a better understanding of the dynamics of
disease progression is expected. Furthermore, observation of
the brain's spontaneous or treatment-induced improvement
will contribute to unravel the underlying mechanisms of
plasticity and recovery across the whole-brain networks. In
the present review, we discuss the values of functional and
structural network information derived from systematic and
controlled experimentation using clinically relevant animal
models. We focus on rodent models of the cerebral diseases
with high impact on social burdens, namely,
neurodegeneration, and stroke.Keywords: Alzheimer's disease;
Huntington's disease; functional connectivity;
neurodegenerative diseases; neuronal networks; rodents;
stroke; structural connectivity.},
cin = {INM-3},
ddc = {610},
cid = {I:(DE-Juel1)INM-3-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525)},
pid = {G:(DE-HGF)POF4-5251},
typ = {PUB:(DE-HGF)16},
pubmed = {35046778},
UT = {WOS:000746515200001},
doi = {10.3389/fncel.2021.815552},
url = {https://juser.fz-juelich.de/record/1005754},
}