Saccadic eye movements associated with executive function decline in mild cognitive impairment and Alzheimer’s disease

Abstract

Background Abnormalities in eye movement metrics have been related to cognitive decline in dementia (Garbutt et al., 2008; Crawford et al., 2005), however, little is known about its association with executive dysfunction prior to the onset of Alzheimer’s disease (AD). The objective of this study was to determine whether older adults with mild cognitive impairment (MCI) or incipient dementia due to AD display subtle signs of impairment in executive functioning as compared to healthy controls, through the analysis of eye movement behavior. Method 93 elderly individuals were allocated into three groups according to cognitive status: normal controls (CTRL, n=28), mild cognitive impairment (n=44) and Alzheimer’s disease (n=21). All groups were tested with an eye tracking‐assisted protocol composed of a prosaccade (PS) and an anti‐saccade (AS) task. The PS task required a fast, automatic saccade towards a peripheral target stimulus. In the AS task (measure of executive functioning), subjects had to inhibit an prosaccade towards the target stimulus and initiate a voluntary saccade in the opposite direction. Result The PS task revealed a similar saccadic performance across the three groups. The AS task had a greater impact on the frequency and latency of eye movement metrics in each group, with AD subjects showing a greater executive decline than CTRL and with MCI group performing intermediately. MCI were similarly impaired as AD in their voluntary saccadic reaction times, with a longer time to correct erroneous saccades. Correlations revealed relationships between eye movement metrics in the AS and measures of inhibitory control, attention, working memory and self‐monitoring. Conclusion The three groups showed a similar pattern of eye movements in the PS task, with both patients groups revealing a preserved automatic saccadic control compatible with the pattern observed in healthy ageing. AS task confirmed that cognitive impairment in the MCI‐AD continuum affects eye movement patterns reflecting executive deficits in inhibitory control, working memory and executive‐attention control subjacent to voluntary saccades. MCI revealed an intermediary impairment in these executive domains, as compared to AD (highest impairment) and CTRL. However, they showed significant increased response times similar to AD subjects, in order to overcome these deficits.

Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms

“…The relationships between AS parameters and measures of inhibitory control, attention, working memory, and self-monitoring showed correlations and common patterns reflecting deficits in the executive function confirming cognitive impairment in MCI and AD patients [46].…”

“…In research by Pereira et al [46] MCI sufferers were similarly impaired to AD sufferers in their voluntary saccadic reaction times, with a longer time to correct erroneous saccades.…”

Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms

“…In research by Pereira et al [ 46 ], MCI sufferers were similarly impaired in their voluntary saccadic reaction times compared to AD sufferers, with a longer time to correct erroneous saccades.…”

“…In the AS task, all FTD and AD patients were impaired relative to the healthy subjects. The AD patients made fewer correct AS than controls, and they had more difficulty correcting saccade direction when they began from saccade instead of AS [ 46 ].…”

Eye-tracking training improves the learning and memory of children with learning difficulty

“…For example, children with attention-deficit/hyperactivity disorder (ADHD) or frontal lobe lesions demonstrated higher error rates in saccadic control (an index of inhibitory control) 2 . The measures of anti-saccade task were correlated with measures of inhibitory control, attention, working memory and self-monitoring 3 . Also, abnormal eye movement control has commonly seen in patients with brain disorders, including Alzheimer’s disease 5 – 7 , mild cognitive impairment 8 – 10 , Parkinson’s disease 11 – 13 , frontotemporal dementia 14 – 16 , autism spectrum disorders (ASD) 17 – 19 , ADHD 20 – 22 , and specific learning disorder (SpLD) 23 – 25 .…”