Abstract:Parkinson's disease (PD) affects several domains of neurological function, from lower-level motor programs to higher cognitive processing. As certain types of eye movements (saccades) are fast, non-fatiguing, and can be measured objectively and non-invasively, they are a promising candidate for quantifying motor and cognitive dysfunction in PD, as well as other movement disorders. In this pilot study, we evaluate the latency (reaction time), damping (resistance to oscillation), and amplitude of saccadic moveme… Show more
“…A third possibility is the use of non-somatomotor markers, which may be less affected by symptomatic antiparkinsonian medication. A promising candidate here is the measurement of saccadic eye movements [ 12 , 30 ].…”
“…A third possibility is the use of non-somatomotor markers, which may be less affected by symptomatic antiparkinsonian medication. A promising candidate here is the measurement of saccadic eye movements [ 12 , 30 ].…”
“…Further, research has shown that people with AD often display abnormal eye movements on tasks such as pro and antisaccade tasks [ 1 , 32 ]. Cognitive impairment is also well-recognised in Parkinson’s (PD) and similar to AD populations display abnormal eye movements on pro and antisaccade tasks [ 33 , 34 , 35 ]. Due to eye movement variations on well-established paradigms, it cannot be assumed that the previously found SIRE effect will generalise.…”
It has been reported that performing bilateral eye movements for a short period can lead to an enhancement of memory retrieval and recall (termed the “saccade induced retrieval effect (SIRE)”). The source of this effect has been debated within the literature and the phenomenon has come under scrutiny as the robustness of the effect has recently been questioned. To date investigations of SIRE have largely been restricted to younger adult populations. Here, across two experiments, we assess the robustness and generalisability of the SIRE specifically in relation to disease and ageing. Experiment 1 employed a between subject’s design and presented younger and older participants with 36 words prior to completing one of three eye movement conditions (bilateral, antisaccade or a fixation eye movement). Participants then performed a word recognition task. Experiment 2 assessed the SIRE in individuals diagnosed with Alzheimer’s, Mild cognitive impairment and Parkinson’s by employing an online within subject’s design. Results showed no significant difference between groups in the number of words recognised based on eye movement condition. Neither experiment 1 or 2 replicated the SIRE effect therefore the findings from this study add to the growing number of studies that have failed to replicate the SIRE effect.
“…Machine learning techniques may also allow identification of more complex patterns of eye movements that will both contribute to diagnosis and to predict disease trajectory. 116 This contribution to diagnosis could be a major step to help triage of patients in pharmaceutical trials.…”
This review delineates the ocular motor disturbances across a spectrum of neurodegenerative disorders, including Alzheimer's Disease (AD) and related disorders (ADRD), Parkinson's Disease (PD), atypical parkinsonism, and others, leveraging advancements in eye-tracking technology for enhanced diagnostic precision. We delve into the different classes of eye movements, their clinical assessment, and specific abnormalities manifesting in these diseases, highlighting the nuanced differences and shared patterns. For instance, AD and ADRD are characterized by increased saccadic latencies and instability in fixation, while PD features saccadic hypometria and mild smooth pursuit impairments. Atypical parkinsonism, notably Progressive Supranuclear Palsy (PSP) and Corticobasal Syndrome (CBS), presents with distinct ocular motor signatures such as vertical supranuclear gaze palsy and saccadic apraxia, respectively. Our review underscores the diagnostic value of eye movement analysis in differentiating between these disorders and also posits the existence of underlying common pathological mechanisms. We discuss how eye movements have potential as biomarkers for neurodegenerative diseases but also some of the existing limitations.
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