Bretta Russell-Schulz1, Irene Vavasour2, Jing Zhang2, Alex MacKay1,3, Shaun Porter4, Delrae Fawcett5, Ivan Torres5, William Panenka5, Lara Boyd6, and Naznin Virji-Babul4
1UBC MRI Research Centre, Radiology, University of British Columbia, Vancouver, BC, Canada, 2Radiology, University of British Columbia, Vancouver, BC, Canada, 3Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 4Physical Therapy, University of British Columbia, Vancouver, Canada, 5Psychiatry, University of British Columbia, Vancouver, Canada, 6Physical Therapy, University of British Columbia, Vancouver, BC, Canada
Synopsis
Chronic traumatic brain injury (TBI) was
examined using myelin water fraction (MWF) in global white matter and
tracts for subjects undergoing intensive cognitive training
(Arrowsmith Program) compared to age and gender matched controls. MWF
was significantly lower in TBI subjects and correlations were found
between MWF and cognitive scores of fluid and crystallized ability.
However, after 3 months of cognitive training no significant
differences were found in MWF in TBI subjects.Introduction
Traumatic
brain injury (TBI) is the most common cause of death in the first
half of life, and a prime contributor to disability throughout the
lifespan. It can result in a wide range of symptoms that can have
long-term effects and is a risk factor for development of
neurodegenerative diseases
1. It results in known white
matter (WM) changes, even in its mild forms
2. Myelin water
fraction (MWF) is used as a marker for myelin content and has been found to be decreased in normal appearing white matter
in neurodegenerative diseases such as multiple sclerosis compared to
controls
3. MWF has previously been shown to decrease
post-concussion and then recover after 2 months
4. Here we
examine chronic differences in MWF within a heterogeneous group of
TBI participants compared to matched controls. Given the ability of
MWF to detect recovery, we also re-examined these participants
following an intensive cognitive improvement program
over 3 months as developed by the Eaton-Arrowsmith Group
5.
Methods
Participants
were recruited as part of a study to evaluate the impact of an
intensive cognitive intervention program (Arrowsmith) in adults with
TBI. Six TBI subjects and six gender and age matched controls
participated in the study, demographics given in Table 1. TBI
subjects underwent a 3 month Arrowsmith intervention. Cognitive
testing (NIH Toolbox Cognitive Battery)
6
and MRI scans were performed. MRI scans were done on a 3T Philips
scanner; a 3DT1 scan was completed for anatomical information and a
48-echo Gradient and Spin Echo (GRASE) sequence with echo spacing 8
ms was used to acquire a multi-component T
2
decay curve for MWF determination
7,8.
MWF maps were determined from the GRASE data using a locally written
function in matlab. MWF images and 3DT1s were registered to MNI space
using FSL. Global white matter (WM) was segmented and pre-existing
regions of interest (ROI), from the JHU tract atlas in FSL were used
to segment specific tracts: anterior thalamic radiation
(ATR), corpus callosum (CC), corticospinal tract (CST), superior and
interior longitudinal fasciculus (SLF and ILF respectively). MWF
means were compared using a Mann-Whitney U Test between TBI and
controls and corrected for multiple comparisons using a
Bonferroni-Holm correction at baseline. MWFs for TBI at month 3
followup were also compared to baseline MWFs. Correlations between
MWF and cognitive scores were examined using Pearson Correlations
(n=9; n=5 TBI, n=4 control).
Results
Baseline results showed both qualitative (visual
inspection) and quantitatively decreased global WM MWF in TBI
subjects compared to age and gender matched healthy controls at
baseline (Figure 1). TBI subjects had significantly lower MWF than
controls in global WM (p=0.0087) (Figure 2a), ATR (p=0.0087), CC
(p=0.0043), ILF (p=0.0043) and SLF (p=0.0022) (Figure 3). Within the
TBI cohort, month 3 results showed no significant difference in MWF
from baseline in all ROIs, nor in global WM MWF (Figure 2a).
Individual TBI-control pairs of WM MWFs are shown in Figure 2b, where
the x axis shows pairings with increasing age. MWF in all ROIs,
except CST, correlated positively with a measure of declarative
memory, Age Adjusted Picture Sequence Memory Test (PSMT) score
(r=0.68-0.77, p<0.05), and MWF in the ILF and SLF correlated
positively with a measure of premorbid cognitive function, Age
Adjusted Oral Reading Recognition Test (ORRT) score (r=0.77, p<0.02
and r=0.74, p<0.03 respectively) across TBI and controls.
Global WM was also found to be significantly positively correlated
(r=0.73 and 0.71, p<0.02) with these cognitive measures (Figure
4).
Discussion
Decreased MWF in chronic TBI may be due to myelin
loss or injury. Correlation between increasing years of education and
higher MWF in healthy controls is known9; this could have influenced
the differences observed between controls and TBI as the controls had
more years of education. Correlations between cognitive scores and
MWFs show promise that MWF could be use as a biomarker of TBI related
deficits in cognitive function. Oral Reading Recognition Test is a
measure of crystallized ability and Picture Sequence Memory Test is
considered to be a strong measure of fluid ability6,
suggesting that MWF may be indexing both aspects of cognitive
ability. Three months of cognitive training did not results in a
significant difference in MWF. Cognitive change in subjects
undergoing the cognitive intervention will be evaluated. 5 TBI
subjects will continue with treatment for another 3 months and
follow-up month 6 scans will be completed along with cognitive
scores. As well, controls will be rescanned at month 3 and month 6.
Acknowledgements
This project is funded by MITACS in partnership
with the Eaton-Arrowsmith group.References
1. Gupta R and Sen N. Traumatic brain injury: a risk factor for neurodegenerative diseases. Rev. Neurosci. 2015 Aug 26 (Epub ahead of print)
2. Armstrong
RC, Mierzwa AJ, Marion CM, et al. Review: White matter
involvement after TBI: Clues to axon and myelin
repair
capacity.
Exp
Neurol. 2015 Feb 16. (Epub ahead of print)
3. Laule C, Vavasour IM, Moore GRW, et al. Water content and myelin water fraction in multiple sclerosis: A T2 relaxation study. J Neurol. 2004;251:284-293.
4. Shahinfard
E, Jarrett M, Vavasour I, et al. Prospective study of changes in
regional brain myelin content after concussion
.
Proceedings of the 23rd Annual
Meeting of the International Society of Magnetic Resonance in
Medicine; 2015: 30 May-5 June. Toronto, Ontario, Canada (Abstract
#:118).
5. Arrowsmith Program. http://www.arrowsmithschool.org/index.htm. Accessed October 30, 2015.
6. Slotkin J, Nowinski C, Hays R, et al. NIH Toolbox: Scoring and
Interpretation Guide. September 18, 2012. http://www.nihtoolbox.org.
Accessed October 30, 2015.
7. Prasloski
T, Rauscher A, MacKay AL, et al.
Rapid whole cerebrum myelin water imaging using a 3D GRASE sequence
. NeuroImage. 2012;63:533-539.
8. Zhang J, Vavasour I, Kolind S, et
al. Advanced Myelin Water
Imaging Techniques for Rapid Data Acquisition and Long T2 Component
Measurements
. Proceedings of the 23rd Annual Meeting of the International Society
of Magnetic Resonance in Medicine; 2015: 30 May-5 June. Toronto,
Ontario, Canada (Abstract #:824).
9. Lang DJM, Yip E, MacKay AL, et al. 48 echo T2 myelin imaging of white matter in first-episodeschizophrenia: Evidence for aberrant myelination. NeuroImage: Clinical. 2014;6:408-414.