scholarly journals Assessment of Cognitive Aging Using an SSVEP-Based Brain–Computer Interface System

2019 ◽  
Vol 3 (2) ◽  
pp. 29 ◽  
Author(s):  
Saraswati Sridhar ◽  
Vidya Manian
Keyword(s):  
Cognitive Decline ◽  
Cognitive Aging ◽  
Age Groups ◽  
Detection Accuracy ◽  
Cognitive Deterioration ◽  
Age Group ◽  
Frequency Detection ◽  
Band Power ◽  
Age Related ◽  
Bci System

Cognitive deterioration caused by illness or aging often occurs before symptoms arise, and its timely diagnosis is crucial to reducing its medical, personal, and societal impacts. Brain–computer interfaces (BCIs) stimulate and analyze key cerebral rhythms, enabling reliable cognitive assessment that can accelerate diagnosis. The BCI system presented analyzes steady-state visually evoked potentials (SSVEPs) elicited in subjects of varying age to detect cognitive aging, predict its magnitude, and identify its relationship with SSVEP features (band power and frequency detection accuracy), which were hypothesized to indicate cognitive decline due to aging. The BCI system was tested with subjects of varying age to assess its ability to detect aging-induced cognitive deterioration. Rectangular stimuli flickering at theta, alpha, and beta frequencies were presented to subjects, and frontal and occipital Electroencephalographic (EEG) responses were recorded. These were processed to calculate detection accuracy for each subject and calculate SSVEP band power. A neural network was trained using the features to predict cognitive age. The results showed potential cognitive deterioration through age-related variations in SSVEP features. Frequency detection accuracy declined after age group 20–40, and band power declined throughout all age groups. SSVEPs generated at theta and alpha frequencies, especially 7.5 Hz, were the best indicators of cognitive deterioration. Here, frequency detection accuracy consistently declined after age group 20–40 from an average of 96.64% to 69.23%. The presented system can be used as an effective diagnosis tool for age-related cognitive decline.

scholarly journals Gene Expression Profile in Different Age Groups and Its Association with Cognitive Function in Healthy Malay Adults in Malaysia

Cells ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1611
Author(s):  
Nur Fathiah Abdul Abdul Sani ◽  
Ahmad Imran Zaydi Amir Amir Hamzah ◽  
Zulzikry Hafiz Abu Abu Bakar ◽  
Yasmin Anum Mohd Mohd Yusof ◽  
Suzana Makpol ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cognitive Decline ◽  
Cognitive Aging ◽  
Successful Aging ◽  
Expression Patterns ◽  
Age Groups ◽  
Genetic Network ◽  
Cross Sectional ◽  
Age Related ◽  
Age Related Cognitive Decline

The mechanism of cognitive aging at the molecular level is complex and not well understood. Growing evidence suggests that cognitive differences might also be caused by ethnicity. Thus, this study aims to determine the gene expression changes associated with age-related cognitive decline among Malay adults in Malaysia. A cross-sectional study was conducted on 160 healthy Malay subjects, aged between 28 and 79, and recruited around Selangor and Klang Valley, Malaysia. Gene expression analysis was performed using a HumanHT-12v4.0 Expression BeadChip microarray kit. The top 20 differentially expressed genes at p < 0.05 and fold change (FC) = 1.2 showed that PAFAH1B3, HIST1H1E, KCNA3, TM7SF2, RGS1, and TGFBRAP1 were regulated with increased age. The gene set analysis suggests that the Malay adult’s susceptibility to developing age-related cognitive decline might be due to the changes in gene expression patterns associated with inflammation, signal transduction, and metabolic pathway in the genetic network. It may, perhaps, have important implications for finding a biomarker for cognitive decline and offer molecular targets to achieve successful aging, mainly in the Malay population in Malaysia.

Age-related cognitive decline and the borderland between normal aging and dementia

1997 ◽  
Vol 9 (2) ◽  
pp. 94-96 ◽  
Author(s):  
J. Jolles
Keyword(s):  
Cognitive Decline ◽  
Cognitive Aging ◽  
Successful Aging ◽  
Age Groups ◽  
Adult Life ◽  
Normal Aging ◽  
Elderly Subjects ◽  
Large Individual ◽  
Related Factors ◽  
Age Related

It is now generally agreed that healthy individuals are characterized by cognitive decline during the later decades of adult life. The acquisition of new information becomes less efficient, which, coupled with a diminished retention of this information for later use, results in substantially poorer memory performance. The ability to plan new activities, solve problems and make complex decisions, as well as cognitive flexibility is noticeably diminished. In addition, attentional processes appear to be invariably poorer in old subjects than in young subjects (for review). While it is quite clearly established that elderly subjects (i.e. after 65 years of age) show a deterioration of cognitive functioning, there is also evidence that this deterioration may start in middle age (40 years). There is large individual variance in age groups; for instance, some old individuals perform on many neurocognitive tests as well as young individuals do. Rowe and Kahn proposed in their influential article to discern between successful aging and usual aging. Successful aging would be due to the effect of chronological age, whereas additional factors would be responsible for usual aging. An important point is the nature of the borderland between usual cognitive aging and pathological conditions such as dementia. Various health-related factors are thought to be important in this respect. They may be a determinant for the transition between successful aging to normal aging and into the borderland with dementia. The Brain & Behavior Research Institute in Maastricht investigates the determinants of successful and pathological aging in a number of related and multidisciplinary projects. This paper describes some major findings of this research programme and gives a theory on the interaction of vulnerability factors and protective factors in their effect on cognitive aging.

Activity Engagement in Cognitive Aging: A Review of the Evidence

2013 ◽  
Vol 23 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Yvonne Rogalski ◽  
Muriel Quintana
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Cognitive Aging ◽  
Social Activity ◽  
Current Evidence ◽  
Omega 3 ◽  
Neuroprotective Effects ◽  
Activity Engagement ◽  
Age Related ◽  
Age Related Cognitive Decline

The population of older adults is rapidly increasing, as is the number and type of products and interventions proposed to prevent or reduce the risk of age-related cognitive decline. Advocacy and prevention are part of the American Speech-Language-Hearing Association’s (ASHA’s) scope of practice documents, and speech-language pathologists must have basic awareness of the evidence contributing to healthy cognitive aging. In this article, we provide a brief overview outlining the evidence on activity engagement and its effects on cognition in older adults. We explore the current evidence around the activities of eating and drinking with a discussion on the potential benefits of omega-3 fatty acids, polyphenols, alcohol, and coffee. We investigate the evidence on the hypothesized neuroprotective effects of social activity, the evidence on computerized cognitive training, and the emerging behavioral and neuroimaging evidence on physical activity. We conclude that actively aging using a combination of several strategies may be our best line of defense against cognitive decline.

scholarly journals Influence of Patient Age on Streptococcus pneumoniae Serotypes Causing Invasive Disease

2001 ◽  
Vol 8 (3) ◽  
pp. 556-559 ◽  
Author(s):  
Jaime Inostroza ◽  
Ana Maria Vinet ◽  
Gloria Retamal ◽  
Pedro Lorca ◽  
Gonzalo Ossa ◽  
...  
Keyword(s):  
Age Groups ◽  
Invasive Disease ◽  
Bacterial Virulence ◽  
Host Factors ◽  
Invasive Infection ◽  
Age Group ◽  
Southern Chile ◽  
Age Related ◽  
Sterile Site ◽  
Selection Of

ABSTRACT All clinical S. pneumoniae specimens isolated from patients with invasive or sterile-site infections admitted to one regional general hospital in southern Chile were collected during a 5-year period (February 1994 to September 1999). A total of 247 strains belonging to 50 serotypes were isolated in this survey: 69 in patients under 5 years of age, 129 in patients 5 to 64 years old, and 49 from patients 65 years and older. Eight serotypes were identified in all age groups, while all other serotypes were found exclusively in one age group or in patients over 4 years of age. Serotype 3 was never found in patients under 5 years old, and serotype 14 was not found in patients >64 years of age. There was no difference in the serotypes causing infection in each one of the 5 years of the survey. Our results suggest that both bacterial virulence factors and host factors play an important role in the selection of S. pneumoniae serotypes causing invasive infection. Possible host factors include age-related differences in the immune response. Comparative studies with other areas of the world may help to further understanding of our observations in southern Chile.

scholarly journals The Effect of Working Memory Rehabilitation on Visual Memory and Memory Span

2020 ◽  
Author(s):  
Mansour Mahmoudi Aghdam ◽  
Esmaeil Soleimani ◽  
Ali Issa Zadegan
Keyword(s):  
Working Memory ◽  
Cognitive Decline ◽  
Elderly People ◽  
Cognitive Aging ◽  
Visual Memory ◽  
Memory Span ◽  
Control Group ◽  
Age Related ◽  
Memory Rehabilitation ◽  
The Mean

Introduction: Age-related cognitive decline or cognitive aging is largely the result of structural and functional decline in specific areas of the brain, but lifestyle also contributes to this cognitive decline. The aim of this study was to investigate the effect of working memory rehabilitation on visual memory and memory span in ageing. Methods: This was a quasi-experimental study with pretest-posttest design and a control group. The study population included all elderly people who lived in Bukan Nursing Home from April to July 2019 (N = 120). Among these individuals, 30 elderly people were selected by convenience sampling method and then randomly assigned to two experimental and control groups (two groups of 15 people). Kim Karad Visual Memory Test and Wechsler Memory Span Test were taken from the groups in pretest. The working memory rehabilitation was performed in 18 sessions (each sessions 60-minute) and after which the test was performed again. The data were analyzed by multivariate covariance test according to its assumptions. Results: The results showed that after the rehabilitation of working memory, in the experimental group, the mean of short, medium and long components of visual memory were 12.00, 10.8 and 12.33, respectively, and the direct and inverse of memory span were 11.66 and 9.66, respectively. In the control group, the average of short, medium and long components of visual memory is 7.00, 6.70 and 9.00, respectively, and direct and inverse of memory span is 8.33 and 6.46, respectively. The difference in the mean scores between the two groups in the components of visual memory and memory span after the intervention was significant (p < 0.001). Conclusion: The results showed that working memory rehabilitation can improve visual memory and memory span, and it is recommended that this rehabilitation method be used to improve the cognitive functions of the elderly.

Age and outcome after aneurysmal subarachnoid hemorrhage: why do older patients fare worse?

1996 ◽  
Vol 85 (3) ◽  
pp. 410-418 ◽  
Author(s):  
Giuseppe Lanzino ◽  
Neal F. Kassell ◽  
Teresa P. Germanson ◽  
Gail L. Kongable ◽  
Laura L. Truskowski ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Subarachnoid Hemorrhage ◽  
Age Groups ◽  
Age Group ◽  
Content Type ◽  
Poor Outcome ◽  
Symptomatic Vasospasm ◽  
Age Related ◽  
Increased Risk ◽  
Fine Print

✓ Advanced age is a recognized prognostic indicator of poor outcome after subarachnoid hemorrhage (SAH). The relationship of age to other prognostic factors and outcome was evaluated using data from the multicenter randomized trial of nicardipine in SAH conducted in 21 neurosurgical centers in North America. Among the 906 patients who were studied, five different age groups were considered: 40 years or less, 41 to 50, 51 to 60, 61 to 70, and more than 71 years. Twenty-three percent of the individuals enrolled were older than 60 years of age. Women outnumbered men in all age groups. Level of consciousness (p = 0.0002) and World Federation of Neurological Surgeons grade (p = 0.0001) at admission worsened with advancing age. Age was also related to the presence of a thick subarachnoid clot (p = 0.0001), intraventricular hemorrhage (p = 0.0003), and hydrocephalus (p = 0.0001) on an admission computerized tomography scan. The rebleeding rate increased from 4.5% in the youngest age group to 16.4% in patients more than 70 years of age (p = 0.002). As expected, preexisting medical conditions, such as diabetes (p = 0.028), hypertension (p = 0.0001), and pulmonary (p = 0.0084), myocardial (p = 0.0001), and cerebrovascular diseases (p = 0.0001), were positively associated with age. There were no age-related differences in the day of admission following SAH, timing of the surgery and/or location, and size (small vs. large) of the ruptured aneurysm. During the treatment period, the incidence of severe complications (that is, those complications considered life threatening by the reporting investigator) increased with advancing age, occurring in 28%, 33%, 36%, 40%, and 46% of the patients in each advancing age group, respectively (p = 0.0002). No differences were observed in the reported frequency of surgical complications. No age-related differences were found in the overall incidence of angiographic vasospasm; however, symptomatic vasospasm was more frequently reported in the older age groups (p = 0.01). Overall outcome, assessed using the Glasgow Outcome Scale at 3 months post-SAH, was poorer with advancing age (p < 0.001). Multivariate analysis of overall outcome, adjusting for the different prognostic factors, did not remove the age effect, which suggests that the aging brain has a less optimal response to the initial bleeding. Age as a risk factor is a continuum; however, there seems to be a significant increased risk of poor outcome after the age of 60 years.

scholarly journals TSH enhancement of FT4 to FT3 conversion is age dependent

2016 ◽  
Vol 175 (1) ◽  
pp. 49-54 ◽  
Author(s):  
David Strich ◽  
Gilad Karavani ◽  
Shalom Edri ◽  
David Gillis
Keyword(s):  
Age Groups ◽  
Thyroid Stimulating Hormone ◽  
Older Age ◽  
Age Group ◽  
Free T4 ◽  
Free T3 ◽  
Age Related ◽  
Differential Increase ◽  
Retrospective Examination ◽  
Tsh Levels

ObjectiveWe previously reported increasing free T3 (FT3) to free T4 (FT4) ratios as thyroid-stimulating hormone (TSH) increases within the normal range in children. It is not known if this phenomenon is age-related among humans, as previously reported in rats. This study examines the relationships between TSH and FT3/FT4 ratios in different ages.DesignRetrospective examination of thyroid tests from patients without thyroid disease from community clinics.MethodsFree T3, free T4, and TSH levels from 527 564 sera collected from patients aged 1 year or greater were studied. Exclusion criteria were the following: missing data, TSH greater than 7.5mIU/L, and medications that may interfere with thyroid hormone activity. A total of 27 940 samples remaining after exclusion were stratified by age. Samples with available anthropometric data were additionally stratified for body mass index (BMI). Correlations of TSH to FT4, FT3, and FT3/FT4 ratios by age group were examined.ResultsUp to age 40, for each increasing TSH quartile, FT3 and the FT3/FT4 ratio increased and FT4 decreased significantly (for both FT3, FT4 and FT3/FT4 ratio,P<0.05 for every TSH quartile when compared with the 1st quartile, except FT3 in the 30–40 age group). In older age groups, increasing TSH was not associated with increased FT3/FT4 ratio.ConclusionAs TSH levels increase, FT3/FT4 ratios increase until age 40, but this differential increase does not occur in older age groups. This may reflect a decrease in thyroxine (T4) to triiodothyronine (T3) conversion with age, which may be part of the aging process.

scholarly journals Young Children's Exposure to and Ability to Eat Different Food Textures, as Reported by Parents (P11-119-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Sarah Smith-Simpson ◽  
Lisa Fries ◽  
Carolyn Ross
Keyword(s):  
Online Survey ◽  
Age Groups ◽  
Age Group ◽  
Older Children ◽  
Research Issues ◽  
Funding Sources ◽  
Food Texture ◽  
Age Related ◽  
Group Data ◽  
Age Appropriate

Abstract Objectives The objective was to identify the age at which parents expose their children to different food textures and how challenging the textures were for their child to eat. It was hypothesized that older children would be exposed to a wider variety of food textures and that parents would consider a larger proportion of these textures to be easy to eat. Methods Parents (n = 365) in Grand Rapids, MI, USA with a child aged 6–36 months completed an online survey. The survey had 37 questions, including 15 unique food texture categories with food examples (Table 1). Parents were asked how difficult each texture category was for their child to eat using a 5-point scale ranging from “Very Easy” to “Very Difficult”, plus an option for “My child hasn't tried this yet”. Children were divided into 5 age groups (6-8 months, 9–12 months, 13–18 months, 19–24 months, 25–36 months) for analysis. Across texture category and age group, data were analyzed using analysis of variance, with mean separation accomplished using Fisher's LSD (P < 0.05). Results A majority of children in the youngest age group (6-8 months) had only eaten foods described as creamy, dissolvable, or pureed. All of the texture categories had been served to a majority of 9–12 month-old children, except for “hard” and “tough meat”. By 18 months of age, a majority of children had tried all food texture categories except “hard”. Across all age groups, creamy, dissolvable, and puree were rated as easy and “tough meat” was rated as difficult. The other textures showed age-related differences, with parents of older children reporting the textures as easier to eat than those of younger children. Food textures were compared within the 9–12 and 13–18 month age groups, when most new food textures are introduced, and similar trends were observed. The easiest textures were creamy, dissolvable, puree and soft, followed by lumpy and juicy, then slippery, chewy, rubbery, and sticky. The most difficult textures were leafy, with skin, hard, tough meat and combination of textures. Conclusions When considering textures of the foods that comprise a well-balanced, healthy diet, many foods are difficult for children to eat. Preparing foods such as green vegetables specifically to have age-appropriate textures could improve consumption. Funding Sources Washington State Univ College of Agricultural, Human and Natural Resource Emerging Research Issues Grant.

scholarly journals EEG and Deep Learning Based Brain Cognitive Function Classification

Computers ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 104
Author(s):  
Saraswati Sridhar ◽  
Vidya Manian
Keyword(s):  
Deep Learning ◽  
Motor Imagery ◽  
Cognitive Aging ◽  
Classification Accuracy ◽  
Short Term Memory ◽  
Principal Component ◽  
Learning System ◽  
Detection Accuracy ◽  
Band Power ◽  
Signal Features

Electroencephalogram signals are used to assess neurodegenerative diseases and develop sophisticated brain machine interfaces for rehabilitation and gaming. Most of the applications use only motor imagery or evoked potentials. Here, a deep learning network based on a sensory motor paradigm (auditory, olfactory, movement, and motor-imagery) that employs a subject-agnostic Bidirectional Long Short-Term Memory (BLSTM) Network is developed to assess cognitive functions and identify its relationship with brain signal features, which is hypothesized to consistently indicate cognitive decline. Testing occurred with healthy subjects of age 20–40, 40–60, and >60, and mildly cognitive impaired subjects. Auditory and olfactory stimuli were presented to the subjects and the subjects imagined and conducted movement of each arm during which Electroencephalogram (EEG)/Electromyogram (EMG) signals were recorded. A deep BLSTM Neural Network is trained with Principal Component features from evoked signals and assesses their corresponding pathways. Wavelet analysis is used to decompose evoked signals and calculate the band power of component frequency bands. This deep learning system performs better than conventional deep neural networks in detecting MCI. Most features studied peaked at the age range 40–60 and were lower for the MCI group than for any other group tested. Detection accuracy of left-hand motor imagery signals best indicated cognitive aging (p = 0.0012); here, the mean classification accuracy per age group declined from 91.93% to 81.64%, and is 69.53% for MCI subjects. Motor-imagery-evoked band power, particularly in gamma bands, best indicated (p = 0.007) cognitive aging. Although the classification accuracy of the potentials effectively distinguished cognitive aging from MCI (p < 0.05), followed by gamma-band power.

scholarly journals PARASYMPATHETIC INFLUENCE ON COGNITIVE AGING IS MODERATED BY SYMPATHETIC ACTIVITY, ESPECIALLY IN EARLY MIDLIFE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S94-S94 ◽  
Author(s):  
Erik L Knight ◽  
Ryan Giuliano ◽  
Sean Shank ◽  
Megan Clarke ◽  
David M Almeida
Keyword(s):  
Nervous System ◽  
Cognitive Decline ◽  
Cognitive Aging ◽  
Parasympathetic Nervous System ◽  
Cognitive Change ◽  
Interactive Effects ◽  
Cognitive Test ◽  
Cognitive Changes ◽  
Beneficial Effects ◽  
Age Related

Abstract The two branches of the autonomic nervous system (ANS) have been individually linked to age-related changes in cognitive functioning: The parasympathetic nervous system (PNS) is thought to support healthy cognitive aging, whereas the sympathetic nervous system (SNS) has been linked to heightened cognitive decline. Despite these separate findings and despite the integrative nature of the ANS, little work has examined the two branches simultaneously to better understand their interactive effects on age-related cognitive changes. We examined cognitive change in two waves of the MIDUS cognitive project and indexed PNS and SNS activity from heart rate variability and epinephrine levels (respectively) from the MIDUS biomarker project (n = 764, 56% female, mean age = 54.1 years). Our findings indicate that higher PNS levels attenuate cognitive decline, but only among individuals with low SNS levels; at higher SNS levels, the beneficial effects of the PNS are blocked. Further, lower PNS levels can be somewhat compensated for by increased SNS levels. This pattern was most robust among individuals transitioning to mid-life (i.e., 35-40 years old at the initial cognitive test). These results suggest that interventions targeting the ANS as a modifiable factor in cognitive aging should consider both ANS branch’s effects simultaneously, particularly in the early stages of midlife.

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