Chad Otoshi1, Thomas Ernst1, Kenichi Oishi2, Hua Jun Liang1, David Greenstein1, and Linda Chang1
1Department of Medicine, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, United States, 2Department of Radiology and Radiological Science, Johns Hopkins Medicine, Baltimore, MD, United States
Synopsis
Microstructural
brain changes before, 1-month and 6-months and after working Memory Training
was evaluated in both HIV-positive and seronegative individuals. While working memory training improved
performance in both trained and non-trained working memory tasks, brain
diffusivities increased in most brain regions after training in both groups,
more in HIV than controls in some regions. These findings suggest ongoing brain
inflammation associated with normal aging or HIV may mask the training-related
changes in DTI measures.
INTRODUCTION
Working memory (WM)
training improves performance in attention and WM, and the training effects have
been associated with brain changes on structural MRI1,2 and
functional MRI.3 A recent
study shows that WM training also benefits HIV patients;4 however,
whether improvements in brain microstructures also occur unknown. The current
study aims to evaluate whether brain microstructural changes occur 1-month and
6-months after WM training using diffusion tensor imaging (DTI) in HIV-positive
(HIV+) and seronegative (SN) subjects.METHODS
61 participants [33 SN: ages 52.21±2.12 years,
28(84.8%) male; 28 HIV+: ages 53.02±2.19 years, 27(96.4%) male]
fulfilling study criteria completed an adaptive WM training program (Cogmed
RM®, 30-45min/session; 20-25 sessions; 5-8 weeks) and were scanned before and
after training (baseline, 1 and 6 months after training) at 3-Tesla (Siemens
TIM Trio). Structural MRI to exclude
brain pathology were acquired; these included a
sagittal 3-D magnetization-prepared rapid gradient-echo (MP-RAGE)
(TR/TE/TI=2200/4.11/1000ms; 1 average; 208x256x144 matrix) and fluid-attenuated
inversion recovery (FLAIR) scan (TR/TE/TI = 9100/84/2500ms). DTI protocol
includes b=0 and 1000s/mm2,
12 directions, TR/TE=3700/88ms, resolution 1.7x1.7mm2, 4mm axial
slices with 1mm gap, 4 repetitions. DTI metrics were
assessed in 9 WM-associated regions in MRIStudio (https://www.mristudio.org), using Large
Deformation Diffeomorphic Metric Mapping and the JHU-MNI atlas. Fractional
anisotropy (FA), mean, axial, and radial diffusivity (MD/AD/RD) were assessed
in each region.5,6 The Cogmed program provided an Index of
improvement after training, while non-trained WM was also assessed using Digit-Span-Forward,
Backward and Sequencing, Letter-Number
Sequencing and Spatial-Span-Forward and Backward at all three time points. Mixed model repeated-measures ANCOVAs (covaried
for age and socioeconomic status) were performed to evaluate group differences
in trained and non-trained WM task performance and DTI metrics across time
points.RESULTS
Participant Characteristics: SN and HIV+ subjects were similar in age, sex, years of
education, and full-scale intelligence quotient. They also had similar
distributions of race and ethnicity and were predominantly white or mixed race.
The average duration of HIV diagnosis was 210±21 months, mean CD4+
count was 523±51/mm3, and nadir CD4+ count was 243±31/mm3. Compared with SN controls, the HIV+
participants had lower Karnofsky Score (91.43±2.34 vs. 99.26±0.51, p=0.002) but similar scores
on HIV Dementia Scale and Epidemiological Scale-Depression (CES-D).
WM Training Effects: On the Index of improvement, both HIV and SN
subjects improved after Cogmed training, but HIV subjects showed less
improvement than SN (Figure 1A). Furthermore, although all subjects showed
improvement on non-trained WM tasks after Cogmed, HIV subjects showed lower
performance than SN on Digit-Span-Backward, and Spatial-Span-Forward and
Backward across all three time points (Fig.
1B-D).
DTI Measures: HIV subjects showed persistently lower FA than SN in the left medial
frontal gyrus (MFG) across time points (p=0.01; Figure 2). However, after WM
training, both groups showed increased axial diffusivities in right superior
corona radiata (SCR) and right anterior corona radiate (ACR), as well as mean
diffusion in right ACR (Figure 3A-D).
Increased diffusivities after training were also observed in other regions,
predominantly in the left hemisphere (Table
1). Furthermore, HIV but not SN
subjects showed increased RD (p=0.02) and MD (p=0.01) in the left superior
frontal gyrus (SFG), and RD & MD (p=0.01 for both) in the left superior
parietal gyrus (SPG) (Figure 4A & B). Lastly, RD increased in the splenium of the corpus
callosum in HIV+ subjects but decreased in SN subjects 6-months
after WMT (Figure 4C). Several other
regions showed similar group-by-training effects on RD or AD, with only HIV
subjects showing increased diffusivities after training (Table 1).
DISCUSSION
Consistent with prior studies,3,4
WM training improved both trained and non-trained WM tasks in all
participants. Our HIV+ subjects
had minimal microstructural abnormalities since they showed significantly lower
FA, suggesting axonal loss, only in MFG, and increased diffusivity, consistent
with neuroinflammation, only in SFG and SCR.
Most brain regions showed increased diffusivities 6-months after
training across all subjects; however, HIV subjects showed even greater
increases in diffusion than SN in many brain regions. These findings are
consistent with prior longitudinal studies that showed greater than normal
age-dependent increases in brain diffusivities in HIV patients7 or
decreased FA in several brain regions after inoculation with SIVsmmFGb virus.8 The
decreased radial diffusion in the splenium of the corpus callosum in our SN
controls after WM training is consistent with prior studies that found
decreased diffusivities in healthy controls after WM training.9,10 In contrast, our HIV subjects did not show
similarly decreased diffusivity or increased FA after WM training, which may be
due to ongoing HIV-associated neuroinflammation,7,11 leading to much
greater increases in diffusivity that might have masked any training-related
decreases in diffusivities.Acknowledgements
This work was supported by the National
Institutes of Health grants (1R01-DA035659; 2K24-DA16170; K02-DA16991;
1U54-NS56883; G12 MD007601). We thank Pearson Education, Inc. for providing
research support for the use of the computer training program (Cogmed®). We are
grateful to our research participants and the referral physicians from our
community providers, including Dr. Drew Kovach, Dr. Dominic Chow, Dr. Jennifer
Frank, Dr. Cyril Goshima, and the personnel at the Life Foundation, the Gregory
House and at Save the Food Basket. We also appreciate the meticulous and hard
work from the additional clinical and technical research staff members who were
involved in the data collection for this study.References
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