State of the Art in Multisensory Integration: Predicting Age-Related Clinical Outcomes

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Sensory and Motor Neuroscience".

Deadline for manuscript submissions: 1 June 2025 | Viewed by 975

Special Issue Editor


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Guest Editor
1. Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Bronx, NY 10461, USA
2. Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA
Interests: multisensory integration; sensorimotor integration; aging; translational and clini-cal research; cognitive neuroscience; neuropsychology; executive function; atten-tion; Alzheimer’s disease; motor control; mobility; gait; balance; falls

Special Issue Information

Dear Colleagues,

Our ability to successfully integrate sensory information across multiple modalities is a vital aspect of functioning and mobility in the real world. Age-related sensory impairments have been individually linked to slower gait, functional decline, balance impairments, falls, and a poorer quality of life. Evidence from the Lancet Commissions (2024) has revealed that impairments in hearing, vision and physical inactivity are three of the fourteen potentially modifiable risk factors for dementia. Further, the National Institute on Aging recognizes that functional changes in both the sensory and motor (i.e., non-cognitive) systems impact the development and progression of Alzheimer’s disease and are currently seeking novel, non-cognitive non-invasive predictors to aid in the early detection of Alzheimer’s disease. While it is known that Alzheimer’s disease alters sensory processing, investigations examining the interplay and time course of multisensory, motor and cognitive dysfunction in disease progression are limited. Recent research indicates that visual-somatosensory integration is linked to mobility impairments, mediated by cognitive status, and associated with amyloid burden, suggesting potential value as a novel marker for preclinical Alzheimer’s disease. The main objective of this Special Issue is to showcase state-of-the-art multisensory integration research and highlight its association with various age-related clinical outcomes (including, but not limited to, Alzheimer’s disease, mobility, quality of life, etc.). 

Dr. Jeannette R. Mahoney
Guest Editor

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Keywords

  • multisensory integration
  • sensorimotor integration
  • aging
  • mobility
  • balance
  • falls
  • cognition
  • dementia

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Published Papers (1 paper)

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Research

14 pages, 430 KiB  
Article
I Got Rhythm and Executive Function, Memory, and More: The Automated Test of Embodied Cognition (ATEC)
by Morris D. Bell, Yarani Gonzalez, Andrea J. Weinstein, David Ciosek, Yan Wang and Gihyun Yoon
Brain Sci. 2025, 15(3), 299; https://doi.org/10.3390/brainsci15030299 - 12 Mar 2025
Viewed by 543
Abstract
Background: The Automated Test of Embodied Cognition (ATEC) is a new system for measuring cognition in action that uses cognitively demanding physical tasks and motion capture technology. Rhythm is one of the domains assessed by the ATEC across a number of tasks [...] Read more.
Background: The Automated Test of Embodied Cognition (ATEC) is a new system for measuring cognition in action that uses cognitively demanding physical tasks and motion capture technology. Rhythm is one of the domains assessed by the ATEC across a number of tasks and is a domain for which there is no broadly accepted neurocognitive measure. Method: Rhythm was assessed in a sample of 104 participants that included those at risk of cognitive decline and community controls. At-risk participants were also administered standard measures of executive functioning (EF), verbal list-learning, story memory, visual memory, and pre-morbid IQ. Results: The ATEC Rhythm Domain was found in the factor analysis with Varimax rotation to be loaded distinctly on the EF factor. ATEC Rhythm was significantly correlated with EF neurocognitive measures, and, in a Chi-square analysis, significantly differentiated the community control participants from those at risk for cognitive decline. ATEC Rhythm was significantly correlated with story memory and visual memory but not verbal list-learning. Age was negatively correlated with ATEC Rhythm, and women performed slightly better than men. ATEC Rhythm was also significantly correlated with the years of education and an estimate of pre-morbid IQ. Discussion: ATEC Rhythm was found to have discriminant and concurrent validity with EF measures and was significantly correlated with measures of story memory and visual memory, but not verbal list-learning. We speculate on rhythm’s relationship to story narrative and visual sequencing, and on rhythm’s relationship to cognitive reserve, as represented by education and the pre-morbid IQ estimate. Conclusions: The ATEC is a promising new measure that provides a systematic assessment of rhythm as a domain of embodied cognition. It may be useful in studies of neurodevelopment and neurocognitive decline, and it may be especially useful in assessing the effects of interventions that use physical activities, including dance and music therapies. Full article
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