Douglas C Dean1, Austin M Patrick1,2, Thomas Gorman1,3, C Shawn Green3, and Andrew L Alexander1,2,4
1Waisman Center, University of Wisconsin Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin Madison, Madison, WI, United States, 3Psychology, University of Wisconsin Madison, Madison, WI, United States, 4Psychiatry, University of Wisconsin Madison, Madison, WI, United States
Synopsis
Mounting evidence
suggests that changes in the brain can occur within hours, however, the
mechanisms underlying these changes remain unknown. In this work, we utilized
multicomponent relaxometry (mcDESPOT) to examine the effects of both short and
long term video game playing on myelinated white matter. Short and long term
changes in quantitative longitudinal relaxation times as well as long term
changes of myelin water fraction were observed. These results add to the
growing literature that neuroplastic effects can take place over the short term
while also suggesting long term changes may involve mechanisms of myelination.
Introduction
The ability of the
brain to reorganize, a phenomenon known as neuroplasticity, is not only
essential to our capacity to acquire new knowledge and skills but also to
compensate for injury. Studies utilizing magnetic resonance imaging (MRI) have
begun to detect and characterize the underlying short and long-term
morphometric, microstructural, and functional changes associated with
repetitive trainings1-3. A recent study using video games (racecar
game) observed measurable decreases in DTI mean diffusivity (MD) in the hippocampus
and parahippocampus following a period of 90 minutes of play4. In a
similar study, decreased MD was again detected in the hippocampus and
posterior-dorsal dendate gyrus, while increases in functional connectivity and
behavioral performance were also observed after 45 minutes of play5.
However, while these studies importantly demonstrate the ability to detect
neuroplastic changes in the brain, the underlying mechanisms of these
neuroplastic changes remain unknown. In regard to microstructural changes,
changes in DTI are inherently non-specific and may be influenced by local
astrocyte swelling, changes in synapses and dendrites, or even changes in
myelin6. Alternative imaging techniques, such as relaxometry based
methods, may provide more insight into the underlying microstructural changes.
In this work, we examine both short and longer term effects of video game play
on the myelin microstructure using multicomponent driven equilibrium single
pulse observation of T1 and T2 (mcDESPOT)7. Methods
MRI Acquisition: A cohort of 20 subjects (6 Males, 14 Females) were enrolled as part of a
larger study examining the effects of video game training on neuroplasticity
and took part in a similar spatial learning and memory training as previously examined4. MRI scanning was performed at three separate occasions on
a GE MR750 3T scanner and using a 32-channel head RF coil: 1) prior to any
training, 2) after 90 minutes of training, and 3) after completing 15 hours of
training spread over 6 weeks and 10 training sessions. During the training
sessions, participants played the Need
for Speed video game and completed 16 trials of the same track in the same
vehicle. Between each trial, participants ordered images of the track and
attempted to draw the course from memory in a drawing tool within MATLAB.
mcDESPOT imaging, which consists of multiple flip angle SPGR and bSSFP images (two-phase
cycles), were acquired during each MRI scan for a total of 3 datasets for each
individual. Actual flip angle imaging (AFI) was additionally collected for
correction of B1-field inhomogeneity. Data subsequently underwent
three-pool mcDESPOT processing8 and parameter maps of the myelin
water fraction (VFM), longitudinal (T1) and transverse (T2)
relaxation times were calculated. Advanced Normalization Tools (ANTs)9
was used to create a study specific template, align this study specific
template to the MNI template, and bring parameter maps (i.e. VFM, T1,
T2) into the MNI space. Statistical
Analysis: Analyses consisted of comparing baseline VFM, T1,
and T2 measurements to measurements after training was performed. Paired
t-tests were performed using non-parametric permutation testing with FSL’s
randomise tool10, 10000 permutations and threshold-free cluster
enhancement for correction of multiple comparisons11.Results
A total of 14 subjects had usable mcDESPOT data
at all 3 testing occasions. No significant differences after 90 minutes of play
were observed for VFM or T2. However, a trend
relationship (p<0.12) of decreased T1 after 90 minutes of video
game training was detected (Fig 1). These relationships were observed to span
regions of left hemisphere temporal lobe and cerebral white matter, including
the thalamic radiations, parahippocampal gyrus, hippocampus, and temporal fusiform
cortex. Longer term changes (after 6 weeks of training) in VFM and T1
were also detected. In particular, increases (p<0.05) of VFM in
the left inferior fronto-occipital fasciculus, superior frontal white matter,
and right inferior longitudinal fasciculus were observed (Fig. 2). Decreased in
T1was observed in sensory motor areas, including the thalamus,
thalamic radiations, brain stem, and caudate (Fig 3). No changes in T2
were observed. Conclusion
Our results indicate that relaxometry
based methods may additionally be sensitive to neuroplastic changes in the
brain and therefore may provide additional insight into the underlying
mechanisms involved. In particular, longer-term increases of VFM and
decreases of T1 are consistent with a hypothesis of learning
inducing changes in myelination, while short term changes in T1, may
indicate alterations of local water content. Future analyses will begin to
compare this cohort to a group that underwent a different video game training
paradigm as well as a training-naïve group. Acknowledgements
This work was supported in part by the National Institutes of Mental (K99MH110596,
DCD, PI). Infrastructure support was also provided, in part, by a core grant to
the Waisman Center from the National Institute of Child Health and Human
Development (U54 HD090256). References
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