Speech Comprehension Training and Auditory and Cognitive Processing in Older Adults

2012 ◽  
Vol 21 (2) ◽  
pp. 351-357 ◽  
Author(s):  
M. Kathleen Pichora-Fuller ◽  
Harry Levitt
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Michael P. Broderick ◽  
Giovanni M. Di Liberto ◽  
Andrew J. Anderson ◽  
Adrià Rofes ◽  
Edmund C. Lalor

AbstractHealthy ageing leads to changes in the brain that impact upon sensory and cognitive processing. It is not fully clear how these changes affect the processing of everyday spoken language. Prediction is thought to play an important role in language comprehension, where information about upcoming words is pre-activated across multiple representational levels. However, evidence from electrophysiology suggests differences in how older and younger adults use context-based predictions, particularly at the level of semantic representation. We investigate these differences during natural speech comprehension by presenting older and younger subjects with continuous, narrative speech while recording their electroencephalogram. We use time-lagged linear regression to test how distinct computational measures of (1) semantic dissimilarity and (2) lexical surprisal are processed in the brains of both groups. Our results reveal dissociable neural correlates of these two measures that suggest differences in how younger and older adults successfully comprehend speech. Specifically, our results suggest that, while younger and older subjects both employ context-based lexical predictions, older subjects are significantly less likely to pre-activate the semantic features relating to upcoming words. Furthermore, across our group of older adults, we show that the weaker the neural signature of this semantic pre-activation mechanism, the lower a subject’s semantic verbal fluency score. We interpret these findings as prediction playing a generally reduced role at a semantic level in the brains of older listeners during speech comprehension and that these changes may be part of an overall strategy to successfully comprehend speech with reduced cognitive resources.


Author(s):  
Michael P. Broderick ◽  
Giovanni M. Di Liberto ◽  
Andrew J. Anderson ◽  
Adrià Rofes ◽  
Edmund C. Lalor

AbstractHealthy ageing leads to changes in the brain that impact upon sensory and cognitive processing. It is not fully clear how these changes affect the processing of everyday spoken language. Prediction is thought to play an important role in language comprehension, where information about upcoming words is pre-activated across multiple representational levels. However, evidence from electrophysiology suggests differences in how older and younger adults use context-based predictions, particularly at the level of semantic representation. We investigate these differences during natural speech comprehension by presenting older and younger subjects with continuous, narrative speech while recording their electroencephalogram. We use linear regression to test how distinct computational measures of 1) semantic dissimilarity and 2) lexical surprisal are processed in the brains of both groups. Our results reveal dissociable neural correlates of these two measures that suggest differences in how younger and older adults successfully comprehend speech. Specifically, our results suggest that, while younger and older subjects both employ context-based lexical predictions, older subjects are significantly less likely to pre-activate the semantic features relating to upcoming words. Furthermore, across our group of older adults, we show that the weaker the neural signature of this semantic pre-activation mechanism, the lower a subject’s semantic verbal fluency score. We interpret these findings as prediction playing a generally reduced role at a semantic level in the brains of older listeners during speech comprehension and that these changes may be part of an overall strategy to successfully comprehend speech with reduced cognitive resources.


Author(s):  
Spencer W. Liebel ◽  
Lawrence H. Sweet

Cardiovascular disease (CVD) affects approximately 44 million American adults older than age 60 years and remains the leading cause of death in the United States, with approximately 610,000 each year. With improved survival from acute cardiac events, older adults are often faced with the prospect of living with CVD, which causes significant psychological, social, and economic hardship. The various disease processes that constitute CVD also exert a deleterious effect on neurocognitive functioning. Although existing knowledge of neurocognitive functioning in CVD and its subtypes is substantial, a review of these findings by CVD type and neurocognitive domain does not exist, despite the potential impact of this information for patients, health care providers, and clinical researchers. This chapter provides a resource for clinicians and researchers on the epidemiology, mechanisms, and neurocognitive effects of CVDs. This chapter includes a discussion of neurocognitive consequences of CVD subtypes by neuropsychological domain and recommendations for assessment. Overall, the CVD subtypes that have the most findings available on specific neurocognitive domains are heart failure, hypertension, and atrial fibrillation. Despite a large discrepancy between the number of available studies across CVD subtypes, existing literature on neurocognitive effects by domain is consistent with the literature on the neurocognitive sequelae of unspecified CVD. Specifically, the research literature suggests that cognitive processing speed, attention, executive functioning, and memory are the domains most frequently affected. Given the prevalence of CVDs, neuropsychological assessment of older adults should include instruments that allow consideration of these potential neurocognitive consequences of CVD.


2011 ◽  
Vol 31 (35) ◽  
pp. 12638-12643 ◽  
Author(s):  
J. E. Peelle ◽  
V. Troiani ◽  
M. Grossman ◽  
A. Wingfield

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Mukul Mukherjee ◽  
Wen-Pin Chang ◽  
Ka-Chun Siu ◽  
Pierre Fayad ◽  
Nicholas Stergiou

Augmented visual feedback has been shown to be effective for learning reaching movements in dynamic environments after a stroke. However, the mechanisms behind such changes are not known. In addition, how brain activity changes with age as we learn novel dynamic tasks is also not clear. The purpose of this study was to examine brain activity changes that are observed when healthy younger and older adults and stroke survivors learn reaching movements in dynamic environments using augmented visual feedback. Healthy young and older adults and chronic stroke survivors were randomly assigned to either a control or an experimental group. They all performed reaching movements with the Inmotion2 robotic system (Interactive Motion Tech Inc., MA) using the dominant/affected arm in a velocity-dependent force field. Controls received actual feedback of their movement, while experimental subjects received augmented visual feedback. Electroencephalogram recordings were analyzed to determine Event Related Desynchronization percent (ERD%). The theta, alpha, and beta frequency bands were examined during movement and pre-movement phases. With learning, the absolute power of the frequency bands increased from the baseline to the adaptation condition, which was then washed out when the force field was removed. With age, there was a reduction in ERD% in alpha and beta bands as the motor task was learned. Stroke subjects had a further reduction in the ERD% in comparison to the healthy older adults. In addition, augmented visual feedback led to a significant increase in the ERD% in comparison to controls during the planning and execution stages of the movement. Past studies have shown when novel dynamics are learned, ERD% reduces indicating increased cognitive processing and memory load. We found that with aging, the cognitive processing and memory required for performing the same dynamic task, increased. After a stroke, there was a further increase. However, the utilization of augmented visual feedback may reduce such requirements and lessen the load on higher centers. These results provide mechanistic support for employing augmented visual feedback for stroke rehabilitation specific to reaching movements in dynamic environments.


2012 ◽  
Vol 23 (02) ◽  
pp. 081-091 ◽  
Author(s):  
Jessica Banh ◽  
Gurjit Singh ◽  
M. Kathleen Pichora-Fuller

Background: Age-related declines in auditory and cognitive processing may contribute to the difficulties with listening in noise that are often reported by older adults. Such difficulties are reported even by those who have relatively good audiograms that could be considered “normal” for their age (ISO 7029-2000 [ISO, 2000]). The Speech, Spatial, and Qualities of Hearing Scale (SSQ; Gatehouse and Noble, 2004) is a questionnaire developed to measure a listener's self-reported ability to hear in a variety of everyday situations, such as those that are challenging for older adults, and it can provide insights into the possible contributions of auditory and cognitive factors to their listening difficulties. The SSQ has been shown to be a sensitive and reliable questionnaire to detect benefits associated with the use of different hearing technologies and potentially other forms of intervention. Establishing how age-matched listeners with audiograms “normal” for their age rate the items on the SSQ could enable an extension of its use in audiological assessment and in setting rehabilitative goals. Purpose: The main purpose of this study was to investigate how younger and older adults who passed audiometric screening and who had thresholds considered to be “normal” for their age responded on the SSQ. It was also of interest to compare these results to those reported previously for older listeners with hearing loss in an attempt to tease out the relative effects of age and hearing loss. Study Sample: The SSQ was administered to 48 younger (mean age = 19 yr; SD = 1.0) and 48 older (mean age = 70 yr, SD = 4.1) adults with clinically normal audiometric thresholds below 4 kHz. The younger adults were recruited through an introductory psychology course, and the older adults were volunteers from the local community. Data Collection and Analysis: Both age groups completed the SSQ. The differences between the groups were analyzed. Correlations were used to compare the pattern of results across items for the two age groups in the present study and to assess the relationship between SSQ scores and objective measures of hearing. Comparisons were also made to published results for older adults with hearing loss. Results: The pattern of reported difficulty across items was similar for both age groups, but younger adults had significantly higher scores than older adults on 42 of the 46 items. On average, younger adults scored 8.8 (SD = 0.6) out of 10 and older adults scored 7.7 (SD = 1.2) out of 10. By comparison, scores of 5.5 (SD = 1.9) have been reported for older adults (mean age = 71 yr, SD = 8.1) with moderate hearing loss (Gatehouse and Noble, 2004). Conclusions: By establishing the best scores that could reasonably be expected from younger and older adults with “normal” hearing thresholds, these results provide clinicians with information that should assist them in setting realistic targets for interventions for adults of different ages.


PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e50425 ◽  
Author(s):  
Geoffrey A. Kerchner ◽  
Caroline A. Racine ◽  
Sandra Hale ◽  
Reva Wilheim ◽  
Victor Laluz ◽  
...  

2017 ◽  
Vol 60 (10) ◽  
pp. 2949-2964 ◽  
Author(s):  
Naveen K. Nagaraj

Purpose This study examined the relationship between working memory (WM) and speech comprehension in older adults with hearing impairment (HI). It was hypothesized that WM would explain significant variance in speech comprehension measured in multitalker babble (MTB). Method Twenty-four older (59–73 years) adults with sensorineural HI participated. WM capacity (WMC) was measured using 3 complex span tasks. Speech comprehension was assessed using multiple passages, and speech identification ability was measured using recall of sentence final-word and key words. Speech measures were performed in quiet and in the presence of MTB at + 5 dB signal-to-noise ratio. Results Results suggested that participants' speech identification was poorer in MTB, but their ability to comprehend discourse in MTB was at least as good as in quiet. WMC did not explain significant variance in speech comprehension before and after controlling for age and audibility. However, WMC explained significant variance in low-context sentence key words identification in MTB. Conclusions These results suggest that WMC plays an important role in identifying low-context sentences in MTB, but not when comprehending semantically rich discourse passages. In general, data did not support individual variability in WMC as a factor that predicts speech comprehension ability in older adults with HI.


2016 ◽  
Vol 59 (3) ◽  
pp. 590-599 ◽  
Author(s):  
Mary Rudner ◽  
Sushmit Mishra ◽  
Stefan Stenfelt ◽  
Thomas Lunner ◽  
Jerker Rönnberg

Purpose Seeing the talker's face improves speech understanding in noise, possibly releasing resources for cognitive processing. We investigated whether it improves free recall of spoken two-digit numbers. Method Twenty younger adults with normal hearing and 24 older adults with hearing loss listened to and subsequently recalled lists of 13 two-digit numbers, with alternating male and female talkers. Lists were presented in quiet as well as in stationary and speech-like noise at a signal-to-noise ratio giving approximately 90% intelligibility. Amplification compensated for loss of audibility. Results Seeing the talker's face improved free recall performance for the younger but not the older group. Poorer performance in background noise was contingent on individual differences in working memory capacity. The effect of seeing the talker's face did not differ in quiet and noise. Conclusions We have argued that the absence of an effect of seeing the talker's face for older adults with hearing loss may be due to modulation of audiovisual integration mechanisms caused by an interaction between task demands and participant characteristics. In particular, we suggest that executive task demands and interindividual executive skills may play a key role in determining the benefit of seeing the talker's face during a speech-based cognitive task.


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