Feng Vankee Lin1
1Center for Advanced Imaging and Neurophysiology, University of Rochester, ROCHESTER, NY, United States
Synopsis
The current lack of effective pharmacological
treatments for managing clinical symptoms in Alzheimer’s dementia highlights
the urgent need for developing non-pharmacological interventions in the field. Here
we report a phase II randomized controlled trial that examined the immediate
and mid-term effect of a cognitive process based training on multiple cognitive
domains in mild cognitive impairment. We found robust intervention effect on
processing speed/attention and working memory. These cognitive improvements were
associated with both activation changes and network changes involving ACC, a
hub for maintaining successful cognitive aging. These results provide new
insights about non-pharmacological interventions in preventing dementia.
Objective: Mild Cognitive Impairment (MCI), especially the amnestic
type (aMCI), is a key population to target for interventions aimed at
preventing or slowing cognitive decline related to dementia1. Vision-based
speed of processing (VSOP) cognitive training is one of the most widely applied behavioral
interventions in community-dwelling older Americans free of dementia2,3.
VSOP primarily targets processing speed and attention (PS/A)—brain functions that
are key for efficiently processing perceptual and cognitive inputs and are foundation
for multiple cognitive processes (e.g., cognitive control, working memory),
cognitive structures (e.g., memory), and everyday functioning4,5.
Here we report immediate and up to 6-month follow-up effects of VSOP on both
the trained domain (PS/A) and three untrained cognitive domains (working
memory, cognitive control, and episodic memory). We also examined neural
mechanisms that might underlie intervention effects of VSOP, focusing on PS/A
task-related fMRI (for the trained effect) and resting-state fMRI (rsfMRI, for
transferred effects).
Methods: A phase II randomized, controlled, double-blinded clinical
trial was conducted. Eighty-four adults with aMCI (mean age = 75 years),
recruited from primary and secondary clinics, were randomly assigned to self-administered VSOP or MLA
at a 2:1 ratio. VSOP training included five tasks involving processing
speed and attention (PS/A). MLA
included three mentally stimulating leisure activities. Both interventions
lasted for six weeks, with four, one-hour sessions per week. Multiple
cognitive, PS/A task-related fMRI, resting-state fMRI measures were assessed at
baseline, post-intervention, and up to 6-month follow-up. CONSORT diagram is displayed
in Figure 1.
Results: Intention-to-treat
analyses was conducted. Task-fMRI analysis revealed one ROI, anterior cingulate
cortex (ACC) where we found that, relative to MLA, the VSOP group had
significantly greater increase in activation from baseline to post-test (Figure 2B). Notably, ACC is a region
critical in supporting different cognitive function and differentiate different
cognitive aging status. In contrast, an ROI in lateral
occipital cortex (LOC) showed significantly increased activation from baseline
to 6-month follow-up in MLA group relative to VSOP group (Figure 2B). For
rsfMRI analysis, the ACC seed was related to four networks: central executive
network (CEN), left, and right salience network (SN), and default mode network
(DMN). Compared to the MLA group, the VSOP group had significant increases in
FC strength within CEN and bilateral SN from baseline to post-test, or 6-month
follow-up (Figure 2C). Data
extracted from masks of ACC and LOC of task-fMRI and CEN and bilateral SN of
rsfMRI were used in the subsequent analyses.
Across analyses, significant between-group differences that
were higher in VSOP group included: UFOV from baseline to post-test (g = 0.51),
working memory from baseline to post-test (g = 0.22) and 3-month follow-up (g =
0.30, Figure 2A), ACC activation (g
= 0.50, Figure 2B), CEN (g = 0.75),
left-SN (g = 0.29), and right-SN (g = 0.78, Figure 2C) from baseline to post-test, and left-SN (g = 0.56) from
baseline to 6-month follow-up. Of note, the slight discrepancy between GEE vs.
reliable improvement comparison results in working memory and left-SN may
result from insufficient power for detecting any effect size < 0.40 (i.e.,
our proposed effect size). Significant between-group differences that were
higher in MLA group included: episodic memory from baseline to 3-month
follow-up and LOC activation from baseline to 6-month follow-up (Figure 2A & B).
For the entire sample, increase of ACC activation was significantly
related to improvement in UFOV and working memory from baseline to post-test,
as well as improvement in working memory from baseline to 3-month follow-up (Figure 3A); enhancement of right-SN
strength was significantly related to improvement in working memory from
baseline to post-test and 3-month follow-up (Figure 3B). For VSOP group alone, enhancement of ACC activation and
bilateral SN strength was significantly related to improvement in working
memory from baseline to 3-month follow-up (Figure
3B and C). For MLA group alone, enhancement of right-SN was significantly
related to improvement in working memory from baseline to post-test (Figure 3B). Of note, enhancement of LOC
(i.e., found for MLA group in 6 months) was not related to any cognitive
improvement.
Conclusion: VSOP training shows promise for causing
improvements in PS/A and in working memory. Notably, these improvements are supported
by relevant brain functional changes. Given our findings of pronounced changes
shortly after training, it is possible that, however, VSOP may produce rapid,
but relatively transient effects. Enhancing the adherence to VSOP training and adding
booster sessions may strengthen and sustain the effects of training. Our
results also raise new, yet unanswered, questions about VSOP training. Namely, it
is unknown whether increasing the amount of VSOP training or adding booster
sessions can enhance transferred effects in cognitive control or episodic
memory; whether VSOP training would produce different effects in those with or
without Alzheimer’s pathology. Acknowledgements
The study was supported by NIH R01 NR015452 to Feng LinReferences
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