scholarly journals Aging effects on neural entrainment to a musical beat

2019 ◽  
Author(s):  
Sarah Anne Sauvé ◽  
Emily Bolt ◽  
Sylvie Nozaradan ◽  
Benjamin Zendel
Keyword(s):  
Older Adults ◽  
Beat Frequency ◽  
Aging Effects ◽  
Musical Rhythm ◽  
Theories Of Aging ◽  
Fast Tempo ◽  
Level Information ◽  
Neural Entrainment ◽  
High Level ◽  
The Brain

When listening to music, the brain entrains to the musical rhythm and produces neural activity at the beat frequency. Younger (<35) and older (>60) adults listened to slow (1.25 Hz) and fast (2.5 Hz) syncopated and non-syncopated rhythms while intermittently performing a tapping task. EEG was recorded and frequency tagging was employed to analyze meter-related and meter-unrelated frequencies elicited by the rhythms. The meter-related frequencies included the beat frequency (BF), its first three harmonics (H1-H3) and the frequency of the whole pattern, or cycle rate (CR) while the meter-unrelated frequencies included the remaining harmonics of the CR up to the eleventh harmonic. Age effects were observed at the BF, where younger adults had larger amplitudes than older adults and at the CR. At the fast tempo, older adults did not differentiate between the CR, the BF and H3. Together, these results suggest older adults experience a breakdown of selective encoding at the fast tempo and reliance on high-level information, exhibiting aspects of both the inhibition and compensation theories of aging.

scholarly journals Aging effects on neural processing of rhythm and meter

2022 ◽  
Author(s):  
Sarah Anne Sauvé ◽  
Emily Bolt ◽  
Sylvie Nozaradan ◽  
Benjamin Zendel
Keyword(s):  
Older Adults ◽  
Hearing Loss ◽  
Brain Activity ◽  
Aging Effects ◽  
Brain Response ◽  
Younger Adults ◽  
Musical Rhythm ◽  
Low Level ◽  
Age Related ◽  
Rhythm And Meter

When listening to musical rhythm, humans can perceive and move to beat-like metrical pulses. Recently, it has been hypothesized that meter perception is related to brain activity responding to the acoustic fluctuation of the rhythmic input, with selective enhancement of the brain response elicited at meter-related frequencies. In the current study, the electroencephalography (EEG) was recorded while younger (<35) and older (>60) adults listened to rhythmic patterns presented at two different tempi while intermittently performing a tapping task. Despite significant hearing loss compared to younger adults, older adults showed preserved brain activity to the rhythms. However, age effects were observed in the distribution of amplitude across frequencies. Specifically, in contrast with younger adults, older adults showed relatively larger amplitude at the frequency corresponding to the rate of individual events making up the rhythms as compared to lower meter-related frequencies. This difference is compatible with larger N1-P2 potentials as generally observed in older adults in response to acoustic onsets, irrespective of meter perception. These larger low-level responses to sounds have been linked to processes by which age-related hearing loss would be compensated by cortical sensory mechanisms. Importantly, this low-level effect would be associated here with relatively reduced neural activity at lower frequencies corresponding to higher-level metrical grouping of the acoustic events, as compared to younger adults.

scholarly journals Neural Reorganization and Compensation in Aging

2015 ◽  
Vol 27 (7) ◽  
pp. 1275-1285 ◽  
Author(s):  
Alexa M. Morcom ◽  
Wendy Johnson
Keyword(s):  
Older Adults ◽  
Young Adults ◽  
Cognitive Function ◽  
Old Age ◽  
Functional Imaging ◽  
Current Evidence ◽  
Imaging Studies ◽  
Functional Reorganization ◽  
Theories Of Aging ◽  
The Brain

According to prominent theories of aging, the brain may reorganize to compensate for neural deterioration and prevent or offset cognitive decline. A frequent and striking finding in functional imaging studies is that older adults recruit additional regions relative to young adults performing the same task. This is often interpreted as evidence for functional reorganization, suggesting that, as people age, different regions or networks may support the same cognitive functions. Associations between additional recruitment and better performance in older adults have led to the suggestion that the additional recruitment may contribute to preserved cognitive function in old age and may explain some of the variation among individuals in preservation of function. However, many alternative explanations are possible, and recent findings and methodological developments have highlighted the need for more systematic approaches to determine whether reorganization occurs with age and whether it benefits performance. We reevaluate current evidence for compensatory functional reorganization in the light of recent moves to address these challenges.

scholarly journals Sequence structure organizes items in varied latent states of working memory neural network

2020 ◽  
Author(s):  
Qiaoli Huang ◽  
Huihui Zhang ◽  
Huan Luo
Keyword(s):  
Working Memory ◽  
Computational Modeling ◽  
Organization Structure ◽  
Sequence Structure ◽  
Level Information ◽  
Sequence Memory ◽  
Structure Knowledge ◽  
High Level ◽  
Sequence Requirements ◽  
The Brain

AbstractIn memory experiences, events do not exist independently but are linked with each other via structure-based organization. Structure knowledge largely influences memory behavior, but how it is implemented in the brain remains unknown. Here, we combined magnetoencephalogram (MEG) recordings, computational modeling, and impulse-response approaches to probe the latent states when subjects held a list of items in working memory (WM). We demonstrate that sequence structure reorganizes WM items into distinct latent states, i.e., being reactivated at different latencies, and the reactivation profiles further correlate with recency behavior. In contrast, memorizing the same list of items without sequence requirements disrupts the recency effect and elicits comparable reactivations. Finally, computational modeling reveals a dominant function of high-level representations that characterize the abstract sequence structure, instead of low-level information decaying, in mediating sequence memory. Taken together, sequence structure shapes the way WM items are stored in the brain and essentially influences memory behavior.

Effects of Aging on the Subcortical Encoding of Stop Consonants

2020 ◽  
Vol 29 (3) ◽  
pp. 391-403
Author(s):  
Dania Rishiq ◽  
Ashley Harkrider ◽  
Cary Springer ◽  
Mark Hedrick
Keyword(s):  
Older Adults ◽  
Repeated Measures ◽  
Mixed Model ◽  
Auditory Brainstem ◽  
Auditory Brainstem Responses ◽  
Aging Effects ◽  
Formant Frequency ◽  
Place Of Articulation ◽  
Second Formant ◽  
Effects Of Aging

Purpose The main purpose of this study was to evaluate aging effects on the predominantly subcortical (brainstem) encoding of the second-formant frequency transition, an essential acoustic cue for perceiving place of articulation. Method Synthetic consonant–vowel syllables varying in second-formant onset frequency (i.e., /ba/, /da/, and /ga/ stimuli) were used to elicit speech-evoked auditory brainstem responses (speech-ABRs) in 16 young adults ( M age = 21 years) and 11 older adults ( M age = 59 years). Repeated-measures mixed-model analyses of variance were performed on the latencies and amplitudes of the speech-ABR peaks. Fixed factors were phoneme (repeated measures on three levels: /b/ vs. /d/ vs. /g/) and age (two levels: young vs. older). Results Speech-ABR differences were observed between the two groups (young vs. older adults). Specifically, older listeners showed generalized amplitude reductions for onset and major peaks. Significant Phoneme × Group interactions were not observed. Conclusions Results showed aging effects in speech-ABR amplitudes that may reflect diminished subcortical encoding of consonants in older listeners. These aging effects were not phoneme dependent as observed using the statistical methods of this study.

scholarly journals Voxel-based correlation of 18F-THK5351 accumulation and gray matter volume in the brain of cognitively normal older adults

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Yoko Shigemoto ◽  
Daichi Sone ◽  
Miho Ota ◽  
Norihide Maikusa ◽  
Masayo Ogawa ◽  
...  
Keyword(s):  
Older Adults ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Cognitively Normal ◽  
Matter Volume ◽  
The Brain

scholarly journals Inference of Mood State Indices by Using a Multimodal High-Level Information Fusion Technique

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Chih-Hua Tai ◽  
Kuo-Hsuan Chung ◽  
Ya-Wen Teng ◽  
Feng-Ming Shu ◽  
Yue-Shan Chang
Keyword(s):  
Information Fusion ◽  
Mood State ◽  
Fusion Technique ◽  
Level Information ◽  
Information Fusion Technique ◽  
High Level

scholarly journals Strategies and cognitive reserve to preserve lexical production in aging

GeroScience ◽  
2021 ◽  
Author(s):  
Monica Baciu ◽  
Sonja Banjac ◽  
Elise Roger ◽  
Célise Haldin ◽  
Marcela Perrone-Bertolotti ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Aging ◽  
Individual Variability ◽  
Future Research ◽  
Aging Effects ◽  
Main Hypothesis ◽  
Compensatory Strategies ◽  
Age Related ◽  
Complementary Domain

AbstractIn the absence of any neuropsychiatric condition, older adults may show declining performance in several cognitive processes and among them, in retrieving and producing words, reflected in slower responses and even reduced accuracy compared to younger adults. To overcome this difficulty, healthy older adults implement compensatory strategies, which are the focus of this paper. We provide a review of mainstream findings on deficient mechanisms and possible neurocognitive strategies used by older adults to overcome the deleterious effects of age on lexical production. Moreover, we present findings on genetic and lifestyle factors that might either be protective or risk factors of cognitive impairment in advanced age. We propose that “aging-modulating factors” (AMF) can be modified, offering prevention opportunities against aging effects. Based on our review and this proposition, we introduce an integrative neurocognitive model of mechanisms and compensatory strategies for lexical production in older adults (entitled Lexical Access and Retrieval in Aging, LARA). The main hypothesis defended in LARA is that cognitive aging evolves heterogeneously and involves complementary domain-general and domain-specific mechanisms, with substantial inter-individual variability, reflected at behavioral, cognitive, and brain levels. Furthermore, we argue that the ability to compensate for the effect of cognitive aging depends on the amount of reserve specific to each individual which is, in turn, modulated by the AMF. Our conclusion is that a variety of mechanisms and compensatory strategies coexist in the same individual to oppose the effect of age. The role of reserve is pivotal for a successful coping with age-related changes and future research should continue to explore the modulating role of AMF.

scholarly journals Beyond Religiosity: A Model to Explain Spirituality Among Middle-Aged and Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 413-414
Author(s):  
Carlyn Vogel ◽  
Debra Dobbs ◽  
Brent Small
Keyword(s):  
United States ◽  
Older Adults ◽  
Good Life ◽  
Multinomial Logistic Regression ◽  
College Experience ◽  
The United States ◽  
Strong Connection ◽  
Deep Appreciation ◽  
The World ◽  
High Level

Abstract Spirituality is difficult to define as researchers assign it different meanings and individuals’ perceptions can vary. For example, spirituality may connect to religiosity, while others consider religiosity a less significant part of spirituality. This study investigates factors outside of religiosity that are significantly associated with spirituality to inform the characteristics of the concept. Webster’s (2004) existential framework of spirituality was used to guide variable selection. The National Survey of Midlife in the United States wave three (MIDUS 3; 2013-2014; n = 2,594; Mage = 63.5, SD = 11, range = 39–92) was used to examine individuals’ reported levels of spirituality. Multinomial logistic regression was conducted to examine factors related to low and high levels of spirituality compared to a moderate level. Participants with low spirituality were more likely to be male, less likely to be mindful, mediate/chant, feel a strong connection to all life, to indicate that they cannot make sense of the world, and to be religious. Participants with high spirituality were more likely to be female, have at least some college experience, be mindful, meditate/chant, feel deep inner peace, have a sense of deep appreciation, think that a sense of purpose is important for a good life, and have a high level of religiosity. Framed by Webster’s conceptual model, the current study observed that religiosity is significantly associated with spirituality and that other mindfulness-based aspects are also present within this concept. Incorporating mindfulness with religious efforts will more accurately and holistically address spirituality.

scholarly journals Effects of a Motor Imagery Task on Functional Brain Network Community Structure in Older Adults: Data from the Brain Networks and Mobility Function (B-NET) Study

2021 ◽  
Vol 11 (1) ◽  
pp. 118
Author(s):  
Blake R. Neyland ◽  
Christina E. Hugenschmidt ◽  
Robert G. Lyday ◽  
Jonathan H. Burdette ◽  
Laura D. Baker ◽  
...  
Keyword(s):  
Older Adults ◽  
Graph Theory ◽  
Community Structure ◽  
Resting State ◽  
Brain Networks ◽  
Brain Network ◽  
Functional Brain ◽  
Network Community ◽  
Functional Brain Networks ◽  
The Brain

Elucidating the neural correlates of mobility is critical given the increasing population of older adults and age-associated mobility disability. In the current study, we applied graph theory to cross-sectional data to characterize functional brain networks generated from functional magnetic resonance imaging data both at rest and during a motor imagery (MI) task. Our MI task is derived from the Mobility Assessment Tool–short form (MAT-sf), which predicts performance on a 400 m walk, and the Short Physical Performance Battery (SPPB). Participants (n = 157) were from the Brain Networks and Mobility (B-NET) Study (mean age = 76.1 ± 4.3; % female = 55.4; % African American = 8.3; mean years of education = 15.7 ± 2.5). We used community structure analyses to partition functional brain networks into communities, or subnetworks, of highly interconnected regions. Global brain network community structure decreased during the MI task when compared to the resting state. We also examined the community structure of the default mode network (DMN), sensorimotor network (SMN), and the dorsal attention network (DAN) across the study population. The DMN and SMN exhibited a task-driven decline in consistency across the group when comparing the MI task to the resting state. The DAN, however, displayed an increase in consistency during the MI task. To our knowledge, this is the first study to use graph theory and network community structure to characterize the effects of a MI task, such as the MAT-sf, on overall brain network organization in older adults.

scholarly journals Carebots

2016 ◽  
Vol 138 (09) ◽  
pp. S8-S13 ◽  
Author(s):  
Thiago Marinho ◽  
Christopher Widdowson ◽  
Amy Oetting ◽  
Arun Lakshmanan ◽  
Hang Cui ◽  
...  
Keyword(s):  
Older Adults ◽  
Multidisciplinary Approach ◽  
Human Perception ◽  
The Elderly ◽  
Comfort Level ◽  
Robot System ◽  
Perceived Safety ◽  
High Level ◽  
Future Work ◽  
Flying Robots

This article demonstrates a multidisciplinary approach that proposes to augment future caregiving by prolonged independence of older adults. The human–robot system allows the elderly to cooperate with small flying robots through an appropriate interface. ASPIRE provides a platform where high-level controllers can be designed to provide a layer of abstraction between the high-level task requests, the perceptual needs of the users, and the physical demands of the robotic platforms. With a robust framework that has the capability to account for human perception and comfort level, one can provide perceived safety for older adults, and further, add expressively that facilitates communication and interaction continuously throughout the stimulation. The proposed framework relies on an iterative process of low-level controllers design through experimental data collected from psychological trials. Future work includes the exploration of multiple carebots to cooperatively assist in caregiving tasks based on human-centered design approach.

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