|dc.description.abstract||Essential tremor (ET) has been associated with a spectrum
of clinical features, with both motor and nonmotor elements, including
cognitive deficits. We employed resting-state functional magnetic
resonance imaging (fMRI) to assess whether brain networks that might
be involved in the pathogenesis of nonmotor manifestations associated
with ET are altered, and the relationship between abnormal connectivity
and ET severity and neuropsychological function.
Resting-state fMRI data in 23 ET patients (12 women and 11 men)
and 22 healthy controls (HC) (12 women and 10 men) were analyzed
using independent component analysis, in combination with a ‘‘dualregression’’
technique, to identify the group differences of resting-state
networks (RSNs) (default mode network [DMN] and executive, frontoparietal,
sensorimotor, cerebellar, auditory/language, and visual networks).
All participants underwent a neuropsychological and
neuroimaging session, where resting-state data were collected.
Relative to HC, ET patients showed increased connectivity in
RSNs involved in cognitive processes (DMN and frontoparietal networks)
and decreased connectivity in the cerebellum and visual networks.
Changes in network integrity were associated not only with ET
severity (DMN) and ET duration (DMN and left frontoparietal network),
but also with cognitive ability.Moreover, in at least 3 networks
(DMN and frontoparietal networks), increased connectivity was
associated with worse performance on different cognitive domains
(attention, executive function, visuospatial ability, verbal memory,
visual memory, and language) and depressive symptoms. Further, in
the visual network, decreased connectivity was associated with worse
performance on visuospatial ability.
ET was associated with abnormal brain connectivity in major
RSNs that might be involved in both motor and nonmotor symptoms.
Our findings underscore the importance of examining RSNs in this
population as a biomarker of disease.||spa