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15 January 2025

Visuomotor Task Analysis May Enhance MCI Diagnosis

Study reveals reaching movements under visual interference may signal cognitive impairment early.

Researchers are drawing connections between motor skills and cognitive health, focusing on Mild Cognitive Impairment (MCI)—an often overlooked area affecting many older adults. Their latest findings indicate significant discrepancies in visuomotor tasks executed by patients with MCI, particularly when faced with visual distractions.

This groundbreaking study, conducted at the Neurology Outpatient Clinic of the Centro Traumatologico Ortopedico Hospital in Naples, highlights how individuals with MCI struggle with basic reaching movements when their visual focus is compromised. The study involved 33 participants: 11 patients diagnosed with amnestic MCI due to Alzheimer's disease, 10 healthy older adults, and 12 healthy younger adults. Researchers utilized kinematic analyses to assess the participants' movements during visually guided tasks alongside distracting elements.

MCI is recognized as a precursor to dementia, representing the thin line between normal cognitive aging and degenerative brain diseases. The need for effective diagnostic tools has led researchers to explore various cognitive and motor functions, drawing attention to the significant impact of motor impairment on overall health and quality of life.

Traditionally, research has concentrated on cognitive tests to diagnose MCI, often neglecting motor functions. This study offers compelling insights, focusing on how patients with MCI exhibited pronounced difficulties with reaching movements aligned with visual targets, especially when undergoing conditions of high cognitive load caused by distractors. According to the study, patients with MCI showed increased deviations from their intended movement trajectories when they had to bypass visual distractors. "We explored whether visuomotor performance is affected by distractor interference in patients with MCI," the researchers noted.

The findings revealed stark contrasts between patients with MCI and their healthy counterparts. Not only did MCI patients perform without precision, but their movements also lacked consistency compared to both healthy older and younger adults. The lateral deviations were particularly pronounced when distractors were placed closer to the targeted object. "Trajectory deviations—particularly under highly distracting conditions—emerged as a potential biomarker to distinguish patients with MCI from healthy controls," the researchers concluded.

Participants performed tasks with simple reaching movements aimed at dots on a surface, with various trials having distracting elements (flankers) activated at proximity ranges. The results from the overall sample indicated significant difficulties among MCI patients, especially when the flanker was placed at the closest distance during the trials. This opens new avenues for diagnosing MCI as these deficits may become visible before traditional cognitive assessments can detect clear impairment.

Despite strict methodologies, researchers noted limitations, emphasizing the need for more extensive studies to corroborate these findings and refine their methodologies. They propose the integration of digitized assessments of visuomotor functions to innovate current diagnostic approaches.

Notably, the significance of motor function as it relates to cognitive health has been largely unanswered, shedding light on the interconnected nature of sensory and cognitive domains. Despite the study's exploratory stage, the initial findings underline how nuanced assessments, such as measuring visuomotor components, can expand the current paradigms of MCI diagnosis.

Future research will focus on utilizing technology such as virtual reality setups to conduct these assessments. This would allow researchers to manipulate distractor salience and identify how different environments can affect motor performance deficits.

This innovative study aims to shift the narrative surrounding cognitive evaluation methods for MCI, reinforcing the call for multidimensional assessments integrating motor and cognitive domains. By doing so, clinicians can improve early detection, paving the way for timely interventions and management strategies to maintain cognitive health.