Multisensory Integration and Aging

Mozolic, Jennifer L.; Hugenschmidt, Christina E.; Peiffer, Ann M.; Laurienti, Paul J.

doi:10.1201/b11092-25

Cited by 27 publications

(18 citation statements)

References 84 publications

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“…The principle of increased background sensory processing on the other hand involves that increases in multisensory enhancements are due to inadequate filtering of sensory noise in older adults. On the down side, this results in older adults being more prone to distraction, but when the noise becomes relevant as in many audiovisual test settings the enhanced processing of background sensory information can proof beneficial (Hugenschmidt, Mozolic, Tan, Kraft, & Laurienti, 2009;Mozolic et al, 2012;Rowe, Valderrama, Hasher, & Lenartowicz, 2006). At least one other study observed, similar to the present one, comparable audiovisual gains for younger and older adults (Campbell et al, 2010).…”

Section: Discussion Experiments 2 and General Discussionsupporting

confidence: 75%

“…Ageing is associated with significant changes in all sensory systems and with neuropsychological effects in various domains (Mozolic, Hugenschmidt, Peiffer, & Laurienti, 2012). One such domain is visual-temporal attention, or more precisely, the temporal properties of visual selective attention.…”

Section: Introductionmentioning

confidence: 99%

“…Research on differences in multisensory integration between younger and older adults in domains other than visual-temporal attention has mainly provided evidence that at least for combinations of simple auditory and visual stimuli multisensory integration is enhanced in older adults (for reviews see Freiherr, Lundström, Habel, & Reetz, 2013;Mozolic et al, 2012). For instance, Peiffer and colleagues (Peiffer, Mozolic, Hugenschmidt, & Laurienti, 2007) used a simple response time (RT) task and could show that RTs did not differ between younger and older adults for the unisensory auditory and visual conditions, whereas older adults were faster than younger adults in the multisensory condition.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Examining the effect of age on auditory enhancement of visual-temporal attention

Kranczioch

Knäpper

Klein

2018

AOP

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Section: Discussion Experiments 2 and General Discussionsupporting

confidence: 75%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Examining the effect of age on auditory enhancement of visual-temporal attention

Kranczioch

Knäpper

Klein

2018

AOP

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“…When performing other simple auditory-visual detection and discrimination tasks, healthy older adults have been shown to exhibit heightened sensory integration demonstrated by, for instance, proportionally faster response times in bimodal than in unimodal stimulus presentations than do younger adults (Diederich & Colonius, 2004;Laurienti, Burdette, Maldjian, & Wallace, 2006;Mozolic, Hugenschmidt, Peiffer, & Laurienti, 2012). These age-related differences in multisensory integration may, however, depend on the nature and complexity of the task and the types of sensory inputs available (e.g., Freiherr, Lundström, Habel, & Reetz, 2013;McGovern, Roudaia, Stapleton, McGinnity, & Newell, 2014).…”

mentioning

confidence: 94%

Estimating the relative weights of visual and auditory tau versus heuristic-based cues for time-to-contact judgments in realistic, familiar scenes by older and younger adults

Keshavarz

Campos

DeLucia

et al. 2017

Atten Percept Psychophys

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Estimating time to contact (TTC) involves multiple sensory systems, including vision and audition. Previous findings suggested that the ratio of an object's instantaneous optical size/sound intensity to its instantaneous rate of change in optical size/sound intensity (τ) drives TTC judgments. Other evidence has shown that heuristic-based cues are used, including final optical size or final sound pressure level. Most previous studies have used decontextualized and unfamiliar stimuli (e.g., geometric shapes on a blank background). Here we evaluated TTC estimates by using a traffic scene with an approaching vehicle to evaluate the weights of visual and auditory TTC cues under more realistic conditions. Younger (18-39 years) and older (65+ years) participants made TTC estimates in three sensory conditions: visual-only, auditory-only, and audio-visual. Stimuli were presented within an immersive virtual-reality environment, and cue weights were calculated for both visual cues (e.g., visual τ, final optical size) and auditory cues (e.g., auditory τ, final sound pressure level). The results demonstrated the use of visual τ as well as heuristic cues in the visual-only condition. TTC estimates in the auditory-only condition, however, were primarily based on an auditory heuristic cue (final sound pressure level), rather than on auditory τ. In the audio-visual condition, the visual cues dominated overall, with the highest weight being assigned to visual τ by younger adults, and a more equal weighting of visual τ and heuristic cues in older adults. Overall, better characterizing the effects of combined sensory inputs, stimulus characteristics, and age on the cues used to estimate TTC will provide important insights into how these factors may affect everyday behavior.

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“…Knowing this information suggests that the 'impairment' and the 'enhancements' observed here may be subserved by similar mechanisms, but further research is required to untangle why these differences arise as we age. One explanation for the differences observed between younger and older adults may be related to a general cognitive decline due to structural changes and loss of brain mass (Mozolic et al, 2012). However, if general cognitive decline could completely explain the differences in performance between the two groups, older adults would consistently perform poorly regardless of whether unimodal or multimodal cues were presented.…”

Section: Discussionmentioning

confidence: 98%

Temporal Metrics of Multisensory Processing Change in the Elderly

Basharat¹,

Mahoney

Michael-Barnett-Cowan³

2019

Preprint

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Older adults exhibit greater multisensory response time (RT) facilitation by violating the race model more than younger adults; this is commonly interpreted as an enhancement in perception.Older adults typically exhibit wider temporal binding windows (TBWs) and points of subjective simultaneity (PSS) that are farther from true simultaneity as compared to younger adults when simultaneity judgment (SJ) and temporal order judgment (TOJ) tasks are utilized; this is commonly interpreted as an impairment in perception. Here we explore the relation between the three tasks in younger and older adults in order to better understand the underlying mechanisms that subserve audiovisual multisensory temporal processing. Our results confirm previous reports showing that audiovisual RT, TBWs and PSSs change with age, and we show for the first time a significant positive relation between the magnitude of race model violation in younger adults as a function of the PSS obtained from the audiovisual TOJ task with (r: 0.49, p: 0.007), that is absent among the elderly (r: 0.13, p: 0.58). Furthermore, we find no evidence for the relation between race model violation as a function of the PSS obtained from the audiovisual SJ task in both younger (r: -0.01, p: 0.94) and older adults (r: 0.1, p: 0.66). Our results confirm previous reports that i) audiovisual temporal processing changes with age; ii) there is evidence for distinct neural networks involved in simultaneity and temporal order perception; and iii) common processing between race model violation and temporal order judgment is impaired in the elderly.

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Multisensory Integration and Aging

Cited by 27 publications

References 84 publications

Examining the effect of age on auditory enhancement of visual-temporal attention

Examining the effect of age on auditory enhancement of visual-temporal attention

Estimating the relative weights of visual and auditory tau versus heuristic-based cues for time-to-contact judgments in realistic, familiar scenes by older and younger adults

Temporal Metrics of Multisensory Processing Change in the Elderly

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