Ottavia Dipasquale1,2, Jamie Campbell3, Camila Callegari Piccinin4, Dawn Langdon5, Waqar Rashid6, and Mara Cercignani3
1IRCCS, Don Gnocchi Foundation, Milan, Italy, 2Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy, 3Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, United Kingdom, 4Neuroimaging Laboratory, University of Campinas, Cidade Universitária, Campinas, Brazil, 5Psychology Department, Royal Holloway, University of London, Egham, United Kingdom, 6Department of Neurology, Brighton and Sussex University Hospitals NHS Trust, Brighton, United Kingdom
Synopsis
We investigated the resting-state functional
connectivity (FC) changes induced after 6 weeks of computerised, home-based
cognitive rehabilitation in patients with multiple sclerosis (MS) in a
randomized controlled trial. The intervention and control groups were evaluated
at baseline (T1), after a 6-week intervention period (T2) and a 12-week follow-up
period (T3). Out of the 94 regions investigated, many memory-, attention- and
motor-related areas strengthened their FC at T2 and T3 in the intervention
group. This study supports the hypothesis that this cognitive rehabilitation is
a feasible and effective approach in patients with MS and confirms that rfMRI
is a useful tool for mapping plastic changes.Introduction
Multiple sclerosis (MS) is the
most common cause of non-traumatic disability in young adults. MS
symptomathology can present both motor and non-motor impairments, including
cognitive deficits. In this context, neuroplasticity is supposed to play an
important role in regulating the functional impact of pathology in MS. However,
the degree to which neuroplasticity can limit the impact of cognitive
dysfunction and the potentiality of the cognitive rehabilitation are largely
unknown. Functional connectivity (FC) measured by resting state fMRI (rfMRI) is
potentially very useful to assess the effects of cognitive rehabilitation, as
no a priori assumptions must be made about the specific functions benefitting
from the programme.
In this work we investigated the FC changes induced
after 6 weeks of computerised, home-based cognitive rehabilitation in patients
with multiple sclerosis in a randomized controlled trial.
Methods
Twenty-eight
patients with MS and evidence of cognitive impairment participated in the study
and were randomly assigned to undergo 45-minutes of computerised cognitive
rehabilitation (RehaCom software, www.fixxl.co.uk) three times weekly for six
weeks or to an active control condition (natural history DVDs). This resulted
in 2 homogeneous groups: an intervention group (N=14, mean age = 51.3±9.4y, 5 males, median EDSS=5, 1÷6), and a control group (N=14, 47.4±7.3y, 3 males, median EDSS=5, 1÷7). Treatment sessions consisted of training
in three specific modules involving working memory, visuospatial memory and
divided attention.
MRI and
behavioural data were obtained at baseline (T1), immediately after the
conclusion of the 6-week intervention period (T2) and after an addition 12-week
follow-up period (T3). rfMRI was acquired with a multi-echo EPI sequence (TR=2570 ms; TE=15,34,54 ms;
resolution=3.75×3.75×4.49 mm
3; 31 axial slices; 200 volumes). High-resolution T1-weighted imaging was
also acquired. rfMRI images were preprocessed with AFNI
1, de-noised
with the AFNI tool
meica.py2 and coregistered to MNI space
using the Advanced Normalization Tools (ANTs)
3. For each subject and time (T1, T2, T3), the
average rfMRI time-series from 94 regions of interest (ROIs) defined by the
Harvard-Oxford anatomical atlas were extracted. Maximal overlap discrete
wavelet transform was then applied to decompose the corresponding time series
into four frequency scales. The wavelet correlation coefficients at the scale
range (0.039-0.097 Hz) were used to construct a 94×94
functional connectivity matrix for each subject at T1, T2 and T3. As brain can
be modelled as a small-world network
4, connectivity matrices were
thresholded using a cost K=0.2, where K represents the actual number of edges
(connections) in the graph estimated as a proportion of the total number of
possible edges. The group-by-time interaction effect was estimated by taking
the difference matrices (T2 minus T1 and T3 minus T1) at subject level, and
performing between-group t-tests using the Network Based Statistic (NBS)
5
toolbox. This analysis enabled the estimation of intervention-related FC differences
after the 6-week intervention period and after the 12-week follow-up period compared
to the baseline condition.
Results
Compared to T1, a significantly higher proportion
of patients in the intervention group showed 10% or greater improvement in the
Symbol Digits Modality Test (SDMT) at T2 (chisquared = 0.008). The intervention
group also showed increased FC compared to the control group between the right
postcentral gyrus and the right inferior temporal gyrus (anterior division) at
T2. The FC increase spread to other regions at T3 (p<0.05, FDR-corrected,
fig.1). The higher FC is focused on the right hemisphere and involves many areas
belonging to the attentional network, including the lingual gyrus, the inferior
temporal gyrus, the parahippocampal gyrus and the cuneus.
Discussion
Our results
show that functional links between areas related to memory, attention and motor
response are strengthened after 6 weeks of cognitive rehabilitation. The
lateralization of these changes to the right hemisphere is consistent with some
of the rehabilitation training tasks which target spatial selective
attention. Future work will look at the
correlation between FC changes and improved cognitive performance.
Conclusion
This study supports the hypothesis that home-based,
computerised cognitive rehabilitation is a feasible and effective approach in
patients with MS. Our data confirm that rfMRI is a useful tool for mapping
plastic changes, even in clinical populations.
Acknowledgements
No acknowledgement found.References
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