Multiple advanced neuroimaging applications in various
neurodegenerative diseases including Parkinson's disease (PD),
frontotemporal dementia (FTD), vascular dementia (VaD) and autism
spectrum disorder (ASD) are covered in this book. Relatively novel
techniques such as integrated PET/MRI and independent component
analysis (ICA)-based dual regression (DR) methods were developed to
capture multi-level molecular/functional and
structural/microstructural as well as high-order inter-network
coordination abnormalities. For instance, both PET dopamine
transporter and striatal binding ratio reductions in the caudate
and putamen were found in PD, consistent with the diffusion tensor
imaging (DTI) fractional anisotropy (FA) reduction and fMRI
voxel-mirrored homotopic correlation (VMHC) in the substantia nigra
(swallow tail sign signature of PD). Furthermore, dopamine storage
and pathway labeled with the vesicular monoamine transporter tracer
identified decreased densities in the bilateral mesial temporal
cortex, caudate, orbitofrontal cortex, left frontal and occipital
cortices, consistent with the morphological atrophy, functional
connectivity and conductivity deficits in PD. Similarly in FTD
patients, the advanced MRI methods such as ICA-DR, VMHC,
voxel-based morphometry (VBM) as well as PET tracer for amyloid
accumulation and FDG glucose uptake identified typical brain
atrophy, structural dis-connectivity, glucose hypometabolism,
higher neuropathological burden, lower interhemispheric correlation
as well as disrupted intra- and inter-network modulation in the
orbitofrontal and anterior temporal cortices together with insular
and frontoparietal networks, with the cerebellum and dorsolateral
attentional network as typical compensations. Functional and
structural abnormalities had further been elucidated in the VaD
dependent participants and autistic children. For instance, both
lower FA and VMHC, brain atrophy and functional connectivity
deficits, demyelination, axonal degeneration and white matter
integrity damage in several white matter tracts were present in the
dependent compared to independent participants in VaD data cohort.
Increased neuronal activity with higher global fractional amplitude
of low frequency fluctuation (fALFF) in the conventional and
slow-wave sub-band was confirmed with less efficiency of systematic
integration in VaD dependent group. Moreover, in ASD compared to
controls, regional gray matter volume and cortical thickness in all
four brain lobes increased, whereas white matter volume were
decreased in addition to the lower temporal, visual and superior
frontal but higher inferior and dorsolateral prefrontal cortical
functional connectivities exhibited in ASD. The differences in each
type of disease could also be revealed with the same imaging method
based on either unique region or distinct brain circuit
inter-connection, using VMHC, ICA-DR, DTI, VBM, fALFF and
graph-theory based small-worldness analysis. In this book, we have
developed and generalized conventional and advanced imaging
methodologies to several common neurodegenerative diseases. For
instance, we have identified the unique imaging signature for each
disease type and the underlying neuropathological mechanism
connections with conductivity, structural and microstructural
connectivity, intra- and inter-network correlation, systematic
integration and efficiency analyses. Our objective, comprehensive
and confirmative results indicated great potential in utilizing
these quantifications for accurate disease classification and
staging. With solid imaging evidence, thorough analysis and
generalized applications, this book should capture the interests of
readers in the broad fields of brain science, disease diagnosis and
effective treatment.
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