Junyu Guo1, John O. Glass1, JungWon Hyun1, Yimei Li1, Conklin Heather1, Lisa Jacola1, Ching-Hon Pui1, Sima Jeha1, and Wilbrun E. Reddick1
1St Jude Children's Research Hospital, Memphis, TN, United States
Synopsis
We investigate the relationship of structural diffusion tensor
imaging (DTI) metrics with working memory and decision speed performance in
children treated for acute lymphoblastic leukemia (ALL). We built a core
neurocognitive network including a central executive network, a salience
network, and subcortical cortex based on previous fMRI findings. We generated
structural connectivity pathways based on high-resolution DTI data from the human
connectome project, and applied those in ALL patients to quantify DTI measures
in each pathway. We found that DTI
measures in most pathways were
significantly associated with working memory and decision speed performance
suggesting an essential structural neurocognitive network.Purpose
Acute lymphoblastic
leukemia (ALL) is the most common malignancy of childhood and adolescence. Even
though 5-year survival is above 90% with contemporary treatment, survivors may
be at risk for neurocognitive deficits in domains including working memory and
decision speed. FMRI studies of executive function have identified central
executive and salience networks (1, 2, 3).
The central executive network includes dorsolateral prefrontal cortex
(DLPFC) and posterior parietal cortex (PPC). The salience network includes
anterior cingulate cortex (ACC) and insula (3). Working memory may involve
prefrontal cortex (PFC), PPC and subcortical cortex (4, 5, 6). Here we provided a possible structural core cognitive
network including a central executive network, a salience network, and
subcortical network based on previous fMRI findings. We created structural
connectivity pathways between these regions using DTI data from the Human Connectome
Project to explore the association of DTI parameters with working memory and decision
speed in children treated for ALL.
Methods
We evaluated 142 survivors of childhood ALL (age at MR / Cognitive
Assessment 9.86±4.48
years; 85 male, 57 female) treated on a chemotherapy-only protocol, Total
Therapy Study XVI (NCT00549848), at end of treatment. DTI was acquired with 12
directions and four averages and voxel-wise tensor calculations were performed
with SPM8 (fil.ion.ucl.ac.uk/spm/). Working memory was assessed using the
Auditory Working Memory subtest from the Woodcock-Johnson Tests of Academic
Achievement, 3rd Edition (WJ-III) and the Digit Span Backward
subtest from the age-appropriate Wechsler scales. The WJ-III Auditory Working
Memory task included listening to a series of digits and words and then
reordering the information to repeat first the objects and then the digits in
sequential order. The Wechsler Digit Span Backward task required children to
repeat a series of numbers in reverse order of presentation. Decision speed was
assessed using the WJ-III Decision Speed subtest where subjects were required
to make semantic decisions under timed conditions.
Due to the limitation on acquisition
time for the clinical examinations of sedated children, low spatial and angular
resolution DTI data were acquired, which cannot be used to extract certain
pathways such as central executive pathway (link between DLPFC and PPC). We
built a core cognitive network including 14 pathways (7 on each side of brain
as shown in Fig. 1) using high-resolution DTI data from 81 subjects in the Human
Connectome Project. The pathways in each
subject were extracted and were registered to a standard MNI space to create
pathway regions of interest based on their probabilistic maps using the FMRIB
Software Library (FSL). These pathways in MNI space were transformed into each
patient space to be used to quantify DTI metrics in each pathway. For higher
sensitivity, the third quartile of fractional anisotropy (FA) values and the
first quartiles of axial diffusivity (AD) and radial diffusivity (RD) values
were used for further analyses instead of mean.
A multiple linear regression model was
used to fit the data. The model can be expressed as
$$Y_i = \beta_0 + \beta_1 DTI_i +\beta_2 Age_i +\epsilon_i$$
where $$$Y_i$$$
is a neurocognitive measure for the $$$i^{th}$$$
subject. We included age as a covariate to adjust for the age effect on the
neurocognitive measures as well as DTI measures. We applied the false discovery
rate correction procedure of Benjamini and Hochberg to correct the p-values for
multiple testing. Results were considered significant at the P < 0.05 level.
Results
Table 1 shows FA Q3
and RD Q1 were significantly associated with WJIII decision speed in most of pathways;
however, AD Q1 was not significantly associated with WJIII decision speed in
any pathway. Table2-3 shows both AD Q1 and RD Q1 were significantly associated
with WJIII auditory working memory and digit span backward measures. FA was
positively associated, and RD and AD were negatively associated with
psychological test scores in which lower scores indicated worse performance.
Discussion / Conclusion
DTI measures were significantly associated with working memory and
decision speed scores in most of the pathways. FA was positively associated only
with decision speed. These results are consistent with the understanding that
signals transmit faster in axons with thicker myelin sheaths, where FA is
larger. AD was negatively associated only with working memory, and RD was negatively
associated with both decision speed and working memory. Brain injury leads to increases in AD and RD,
which is associated with decreased working memory. Our findings provide
potential evidence for a structural core neurocognitive network, which could be
further used for evaluating and classifying survivors at greatest risk for reduced
neurocognitive outcomes following therapy, most notably decreased decision
speed and poorer working memory.
Acknowledgements
This
work was supported in part by RO1 CA90246 and Cancer Center Support Grant P30 CA-21765 from the National Cancer Institute
at the National institutes of Health, Bethesda, MD, and by the American
Lebanese Syrian Associated Charities (ALSAC), Memphis, TN.References
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