Bhedita J Seewoo1,2,3, Kirk W Feindel3, Sarah J Etherington4, and Jennifer Rodger1,2
1Experimental and Regenerative Neurosciences, The University of Western Australia, Crawley, Australia, 2Brain Plasticity Group, Perron Institute for Neurological and Translational Research, Nedlands, Australia, 3Centre for Microscopy, Characterisation and Analysis, The University of Western Australia, Nedlands, Australia, 4School of Veterinary and Life Sciences, Murdoch University, Murdoch, Australia
Synopsis
Repetitive
transcranial magnetic stimulation (rTMS), a novel non-invasive brain
stimulation technique, has been shown to modulate dysfunctional brain networks
in humans. However, despite anecdotal evidence that rTMS effects tend to wear
off, there are no reports of fMRI studies, even in humans, mapping the
therapeutic duration of rTMS effects. Here, we investigated the cumulative
effects of daily low-intensity rTMS on rodent resting-state networks using
rs-fMRI and mapped for persistence for up to three weeks. Our study confirms
the frequency-specific effects of rTMS and shows that 1 Hz stimulation has
milder, but longer-lasting effects on functional connectivity than 10 Hz
stimulation.
Introduction
Repetitive transcranial magnetic stimulation (rTMS) is a novel
non-invasive neuromodulation technique that is
being applied widely in therapeutic and investigative studies of neurological
and psychiatric conditions including depression 1,2, schizophrenia 3 and Parkinson’s disease 4. Compared to healthy
individuals, people with neurological and psychiatric disorders have been
identified with resting-state network (RSN) dysregulation 5 and several lines of evidence suggest that rTMS is able to modulate
the resting brain activity and therefore alter dysfunctional RSNs.6 However, these effects tend to wear off 7,8 and there
have been no reports of longitudinal MRI studies, even in humans, investigating the
therapeutic duration of rTMS effects. Here, we studied the longitudinal
effects of repeated low-intensity rTMS (LI-rTMS) on rodent RSNs using
resting-state functional MRI (rs-fMRI). Methods
Sprague-Dawley
rats received LI-rTMS for 10 minutes over the right brain hemisphere daily for
14 days using a custom-built round coil (10 Hz or 1 Hz stimulation, n=9 per
group). Rs-fMRI data were acquired at 9.4 Tesla at baseline, after seven days
of stimulation and after 14 days of stimulation to determine the cumulative
effects of LI-rTMS. We investigated the persistence of these effects for up to three
weeks by performing two more imaging sessions seven days and either 20 (10 Hz
group) or 14 (1 Hz group) days after stimulation was ceased. Rs-fMRI data was acquired using single-shot
EPI with 300 repetitions as described in our previous study.9 During each imaging session, the animal was under a
combination of isoflurane and medetomidine anaesthesia. Baseline rs-fMRI data were analysed
using the group-ICA (Independent component analysis) algorithm to identify
template rodent RSNs (Figure 1) and dual-regression was used to uncover changes
in the RSNs.Results and Discussion
Four
relevant RSNs were found by group-ICA: the interoceptive and default mode
network (C1), cortico-striatal-thalamic network (C2), basal
ganglial network (C3) and salience network (C4). Overall, 1 Hz
stimulation had less widespread effects on functional connectivity compared to 10 Hz stimulation. The milder effect of 1 Hz LI-rTMS compared to 10 Hz LI-rTMS was also
observed in our previous study looking at the immediate effect of one 10 min
LI-rTMS session.9 Repeated 10 Hz stimulation induced significant potentiation of
functional connectivity in C1, C2 and C3 (Figure 2) while 1 Hz stimulation
significantly attenuated functional connectivity in C2, C3 and C4 (Figures 3). The differential effect-size and
effect-direction between high- and low-frequency rTMS has been observed in
previous studies; 10 induction of rTMS-related changes
is known to be more likely with high- than low-frequency rTMS when using
parameters within the safety-margins, and when changes are induced, the
effect-direction is more frequently positive following high-frequency rTMS and negative
following low-frequency rTMS. After cessation
of stimulation, the change in connectivity in all three networks decreased gradually
over a period of 20 days and dropped back to
baseline levels in the 10 Hz group. In contrast, in the 1 Hz group, while the C2
connectivity increased back to baseline levels, the decrease in connectivity
was sustained for at least seven days within C3. Within C4, the decrease in
connectivity compared to baseline was even more widespread 14 days post-stimulation
cessation than seven days post-stimulation cessation. The continuous decrease
in connectivity compared to baseline following cessation of 1 Hz LI-rTMS in C4 was
surprisingly strong and may be related to either a decrease in excitatory
circuits or an increase in inhibitory mechanisms.Conclusion
Information
about the duration of the after-effects of rTMS therapy is vital for the
development and improvement of rTMS use as a treatment in a clinical setting. This
study provides a framework to use brain imaging to explore the duration of
LI-rTMS effects on rodent resting brain activity. To our knowledge, our results
provide the first preclinical in vivo
demonstration of the cumulative and post-stimulation effects of repeated
LI-rTMS on rodent neuronal network dynamics. Our
study confirms the frequency-specific effects of rTMS and further suggests that
effects of 1 Hz stimulation, although milder, may persist longer after
cessation of treatment compared to those of 10 Hz stimulation. Additionally,
the decreasing connectivity changes post-cessation of 10 Hz stimulation is
consistent with the widespread recommendation for regular “top up” 10 Hz rTMS
treatments in patients with depression.7,11-13 Further studies in animals
and humans are warranted in effort to investigate potential prolongation of
functional connectivity effects through maintenance or “top-up” rTMS sessions
weeks or months after the first set of treatment.Acknowledgements
The authors thank Ms Marissa Penrose-Menz, Dr
Alexander Joos, Ms Katherine Fisher and Ms Michelle Carey for their assistance with
the experiments. The authors acknowledge the facilities and scientific and
technical assistance of the National Imaging Facility, a National Collaborative
Research Infrastructure Strategy (NCRIS) capability, at the Centre for
Microscopy Characterisation and Analysis, The University of Western Australia. BJS is supported by a Forrest Research
Foundation Scholarship, an International Postgraduate Research Scholarship, and
a University Postgraduate Award. KWF is an Australian National Imaging Facility
Fellow, a facility funded by the University, State and Commonwealth
Governments. JR was supported by an NHMRC Senior Research Fellowship. References
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