Neuroscience

Aging (Aging-US)

Aging-US published this research paper in Volume 14, Issue 17, entitled, "Probiotics treatment for Parkinson disease: a systematic review and meta-analysis of clinical trials" by researchers from the Department of Neurology, Shuang-Ho Hospital, Taipei Medical University, New Taipei City, Taiwan; Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan; Department of Nursing, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; Center for Nursing and Healthcare Research in Clinical Practice Application, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; Cochrane Taiwan, Taipei Medical University, Taipei, Taiwan.

DOI - https://doi.org/10.18632/aging.204266

Corresponding authors - Tsai-Wei Huang - tsaiwei@tmu.edu.tw; https://orcid.org/0000-0002-6722-1153

Abstract

Background and aims: People with Parkinson disease (PwP) exhibit gut dysbiosis and considerable gastrointestinal (GI) symptoms. Probiotics, beneficial strains of microorganisms, supplement and optimize the intestinal environment and alleviate GI symptoms among elderly people. We conducted a systematic review and meta-analysis of clinical trials to investigate the effects of probiotics on PwP.

Methods: We searched the PubMed, Embase, and Cochrane Library databases. Major outcomes were the effects on GI symptoms, including bowel movement and stool characteristics. This study was registered with PROSPERO (CRD42021262036).

Results: Six randomized controlled trials (RCTs) and two open-label studies were included. Most of the probiotic regimens were based on Lactobacillus and Bifidobacterium. Six studies investigated the benefit of probiotics for GI symptoms, especially for PwP with functional constipation, and two RCTs assessed probiotics’ effect on systematic metabolism and inflammation. In the meta-analysis, probiotic treatment significantly increased the frequency of bowel movements among PwP (mean difference [MD]: 1.06 /week, 95% confidence interval [CI]: 0.61 to 1.51, p < 0.001, I2 = 40%). Additionally, probiotic treatment significantly normalized stool consistency (standard MD: 0.61, 95% CI = 0.31 to 0.91, p < 0.001, I2 = 0%).

Conclusions: Although the probiotic compositions varied, probiotic treatment significantly attenuated constipation for PwP and exhibited possible systematic effects on inflammation and metabolism. Given the tolerability of probiotics, the present meta-analysis may provide more consolidated evidence of the benefit of probiotics on constipation in PwP and a possible new therapeutic approach for disease modification.

Sign up for free Altmetric alerts about this article - 
https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.204266

Keywords - aging, Parkinson disease, probiotics, constipation, meta-analysis

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at https://www.Aging-US.com​​ and connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

Paper Spotlight: Probiotics for Parkinson's: A Systematic Review and Meta-Analysis of Clinical Trials

Aging (Aging-US) published this trending research paper in Volume 14, Issue 17, entitled, “Aging, prevalence and risk factors of MRI-visible enlarged perivascular spaces” by researchers from Boston University School of Medicine, Boston, MA, NHLBI’s Framingham Heart Study, Framingham, MA, Department of Biostatistics, Boston University School of Public Health, Boston, MA, Department of Radiology, Veterans Affairs Boston Health System, Boston, MA, Department of Neurology, Boston University School of Medicine, Boston, MA, The Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX, Department of Neurology, University of California at Davis, Davis, CA.

DOI - https://doi.org/10.18632/aging.204181

Corresponding author - Jose R. Romero - joromero@bu.edu 

Abstract

Background and purpose: Cerebral small vessel disease (CSVD) increases with age and is associated with stroke and cognitive decline. Enlarged Perivascular Spaces (ePVS) is an emerging marker of CSVD, but its prevalence over the life span remain unclear. We characterized the age and sex-specific prevalence of ePVS and relation to age-specific risk factors, in a large community-based sample.

Methods: We included 3,710 Framingham Heart Study participants with available brain MRI (average age 61.4±14.6, 46% men). ePVS burden was rated in the centrum semiovale (CSO) and basal ganglia (BG) regions. Individual vascular risk factors were related to ePVS burden in the CSO, BG, and mixed CSO-BG regions using multivariable adjusted ordinal logistic regression analysis.

Results: Severe ePVS prevalence increased with age in men and women, and paralleled increase in vascular risk factors, and prevention treatment use. Older age, hypertension (and resulting higher treatment use), higher systolic and diastolic blood pressure, and smoking were associated with higher burden of ePVS in the CSO, BG and mixed regions.

Conclusions: Our observations reinforce the hypothesis that ePVS may be a marker of aging-driven brain vascular pathologies, and its association with vascular risk factors support their role as CSVD imaging biomarker.

Sign up for free Altmetric alerts about this article - https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.204181

Keywords - cerebral small vessel disease, neurological markers, aging, disease marker, perivascular spaces

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website athttps://www.aging-us.com/​ and connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

Paper Spotlight: Aging, Prevalence and Risk Factors of MRI-Visible Enlarged Perivascular Spaces

Aging-US published this research paper as the cover for Volume 14, Issue 17, entitled, "Extracellular microRNA and cognitive function in a prospective cohort of older men: The Veterans Affairs Normative Aging Study” by researchers from the Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA; VA Normative Aging Study, VA Boston Healthcare System, Boston, MA; Department of Medicine, Boston University School of Medicine, Boston, MA; Massachusetts Veterans Epidemiology and Research Information Center, VA Boston Healthcare System, Boston, MA; Department of Epidemiology, Boston University School of Public Health, Boston, MA; Department of Psychiatry, Boston University School of Medicine, Boston, MA; Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA.

DOI - https://doi.org/10.18632/aging.204268

Corresponding authors - Nicole Comfort - nicole.comfort@columbia.edu

Abstract
Background: Aging-related cognitive decline is an early symptom of Alzheimer’s disease and other dementias, and on its own can have substantial consequences on an individual’s ability to perform important everyday functions. Despite increasing interest in the potential roles of extracellular microRNAs (miRNAs) in central nervous system (CNS) pathologies, there has been little research on extracellular miRNAs in early stages of cognitive decline. We leverage the longitudinal Normative Aging Study (NAS) cohort to investigate associations between plasma miRNAs and cognitive function among cognitively normal men.

Methods: This study includes data from up to 530 NAS participants (median age: 71.0 years) collected from 1996 to 2013, with a total of 1,331 person-visits (equal to 2,471 years of follow up). Global cognitive function was assessed using the Mini-Mental State Examination (MMSE). Plasma miRNAs were profiled using small RNA sequencing. Associations of expression of 381 miRNAs with current cognitive function and rate of change in cognitive function were assessed using linear regression (N = 457) and linear mixed models (N = 530), respectively.

Results: In adjusted models, levels of 2 plasma miRNAs were associated with higher MMSE scores (p < 0.05). Expression of 33 plasma miRNAs was associated with rate of change in MMSE scores over time (p < 0.05). Enriched KEGG pathways for miRNAs associated with concurrent MMSE and MMSE trajectory included Hippo signaling and extracellular matrix-receptor interactions. Gene targets of miRNAs associated with MMSE trajectory were additionally associated with prion diseases and fatty acid biosynthesis.

Conclusions: Circulating miRNAs were associated with both cross-sectional cognitive function and rate of change in cognitive function among cognitively normal men. Further research is needed to elucidate the potential functions of these miRNAs in the CNS and investigate relationships with other neurological outcomes.

Sign up for free Altmetric alerts about this article - https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.204268

Press release - https://aging-us.com/news_room/Extracellular-microRNA-and-cognitive-function-in-a-prospective-cohort-of-older-men

Keywords - aging, plasma, extracellular RNA, RNA-seq, microRNA, cognitive decline, cognitive impairment

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at https://www.Aging-US.com​​ and connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

Extracellular microRNA and Cognitive Function in Older Men

Aging-US published this trending review in Volume 14, Issue 16, entitled, "New hallmarks of ageing: a 2022 Copenhagen ageing meeting summary" by researchers from the Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, Lørenskog 1478, Norway; Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Krakow 30-348, Poland; Center for Healthy Ageing, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen 2400, Denmark; Institute of Sports Medicine Copenhagen, Department of Orthopedic Surgery, Copenhagen University Hospital – Bispebjerg and Frederiksberg, Copenhagen 2400, Denmark; Molecular Medicine and Gene Therapy, Lund Stem Cell Center, Lund University, Lund, Sweden; Stem Cell Laboratory, UCL Cancer Institute, University College London, London, UK; Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital Rigshospitalet, Glostrup 2600, Denmark; The David and Inez Myers Laboratory of Cancer Genetics, Department of Human Molecular Genetics and Biochemistry, Tel Aviv University School of Medicine P.O.B 39040, Tel Aviv, Israel; Department of Environmental and Occupational Health, University of Pittsburgh School of Public Health, Pittsburgh, PA; Department of Functional Genomics and Cancer, IGBMC, CNRS/INSERM/University of Strasbourg, Equipe labellisée Ligue contre le Cancer, Strasbourg, France; College of Medicine, Center for Genomics and Precision Medicine, National Taiwan University, Taipei City, Taiwan; UK National Innovation Centre for Ageing, The Catalyst, 3 Science Square, Newcastle University, Newcastle upon Tyne, NE4 5TG, UK; Buck Institute for Research on Ageing, Novato, CA; Section on DNA Repair, National Institute on Ageing, Baltimore, MD; Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK; Department of Molecular Biology and Genetics, Aarhus University, Aarhus 8000, Denmark; The Norwegian Centre on Healthy Ageing (NO-Age), Oslo, Norway; UPMC Hillman Cancer Center, Pittsburgh, PA. 
#openaccess #meeting #aging #science #peerreview

DOI - https://doi.org/10.18632/aging.204248

Corresponding authors - Tinna Stevnsner - tvs@mbg.au.dk, Lene Juel Rasmussen - lenera@sund.ku.dk, Evandro F. Fang - e.f.fang@medisin.uio.no

Abstract

Genomic instability, telomere attrition, epigenetic alterations, mitochondrial dysfunction, loss of proteostasis, deregulated nutrient-sensing, cellular senescence, stem cell exhaustion, and altered intercellular communication were the original nine hallmarks of ageing proposed by López-Otín and colleagues in 2013. The proposal of these hallmarks of ageing has been instrumental in guiding and pushing forward research on the biology of ageing. In the nearly past 10 years, our in-depth exploration on ageing research has enabled us to formulate new hallmarks of ageing which are compromised autophagy, microbiome disturbance, altered mechanical properties, splicing dysregulation, and inflammation, among other emerging ones. Amalgamation of the ‘old’ and ‘new’ hallmarks of ageing may provide a more comprehensive explanation of ageing and age-related diseases, shedding light on interventional and therapeutic studies to achieve healthy, happy, and productive lives in the elderly.

Sign up for free Altmetric alerts about this article - 
https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.204248

Keywords - aging, hallmarks of ageing, neurodegeneration, healthspan, longevity, autophagy

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at https://www.Aging-US.com​​ and connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

Paper Spotlight: New Hallmarks of Ageing 2022 Meeting Summary

Bio-Techne

Bio-Techne's Quantist Luminex data analysis software helps you extract insight from complexity. Use this software to evaluate the quality of your standards, controls, and unknowns. Evaluate the long-term consistency of your Luminex data by using Quantist to make inter-assay comparisons. 

Quantist Luminex Data Analysis Software 

Aging-US published this trending research paper as the cover for Volume 14, Issue 14, entitled, "Aging the brain: multi-region methylation principal component based clock in the context of Alzheimer’s disease" by researchers from Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT; Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL; Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA; Department of Biostatistics, Fielding School of Public Health, UCLA, Los Angeles, CA; Department of Psychiatry, Yale University School of Medicine, New Haven, CT; Alzheimer’s Disease Research Center, Yale University School of Medicine, New Haven, CT; VA Connecticut Healthcare System, West Haven, CT; Department of Pathology, Yale University School of Medicine, New Haven, CT; Altos Labs, San Diego Institute of Science, San Diego, CA.

DOI - https://doi.org/10.18632/aging.204196

Corresponding authors - Albert T. Higgins-Chen - a.higginschen@yale.edu, and Morgan E. Levine - morgan.levine@yale.edu

Abstract

Alzheimer’s disease (AD) risk increases exponentially with age and is associated with multiple molecular hallmarks of aging, one of which is epigenetic alterations. Epigenetic age predictors based on 5’ cytosine methylation (DNAm), or epigenetic clocks, have previously suggested that epigenetic age acceleration may occur in AD brain tissue. Epigenetic clocks are promising tools for the quantification of biological aging, yet we hypothesize that investigation of brain aging in AD will be assisted by the development of brain-specific epigenetic clocks. Therefore, we generated a novel age predictor termed PCBrainAge that was trained solely in cortical samples. This predictor utilizes a combination of principal components analysis and regularized regression, which reduces technical noise and greatly improves test-retest reliability. To characterize the scope of PCBrainAge’s utility, we generated DNAm data from multiple brain regions in a sample from the Religious Orders Study and Rush Memory and Aging Project. PCBrainAge captures meaningful heterogeneity of aging: Its acceleration demonstrates stronger associations with clinical AD dementia, pathologic AD, and APOE ε4 carrier status compared to extant epigenetic age predictors. It further does so across multiple cortical and subcortical regions. Overall, PCBrainAge’s increased reliability and specificity makes it a particularly promising tool for investigating heterogeneity in brain aging, as well as epigenetic alterations underlying AD risk and resilience.

Sign up for free Altmetric alerts about this article - https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.204196

Press release - https://www.aging-us.com/news_room/aging-the-brain-multi-region-methylation-principal-component-based-clock-in-the-context-of-alzheimers-disease

Keywords - aging, epigenetic clocks, unsupervised machine learning, brain, Alzheimer’s, age acceleration

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at https://www.Aging-US.com​​ and connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

Trending With Impact: PCBrainAge in the Context of Alzheimer’s Disease

Teach Me in 10

In this Teach Me in 10 episode, we are joined by Dr. Eric Wengert, postdoctoral fellow at The Children’s Hospital of Philadelphia. 

Dr. Wengert will be discussing epilepsy, the neurological disorder caused by hyperexcitability and synchrony in the brain, which manifest as behavioral seizures. 

While there are antiseizure medications available, many patients become refractory to available treatments and even those in which seizures are controlled have to deal with significant adverse side effects. 

For this reason, scientists are actively investigating new ways to better prevent seizures with fewer and less severe side effects. Gene therapy, which seeks to modify brain activity by altering gene expression directly rather than protein function, represents a more targeted way of intervening in the brain. 

One of these approaches, Targeted Augmentation of Nuclear Gene Output (TANGO), seeks to boost gene expression of the SCN1A gene to treat a severe genetic epilepsy syndrome called Dravet Syndrome. In a mouse model of Dravet Syndrome, a single treatment with TANGO rescues the impaired excitability of inhibitory interneurons, reduces seizure frequency and prolongs survival. 

Gene therapy approaches like TANGO hold great potential for treating epilepsy and improving the lives of patients, as Dr. Wengert explores in this video.

Gene Therapy To Treat Epilepsy With Dr. Eric Wengert

Aging-US published this trending research paper in Volume 14, Issue 12, entitled, "Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability" by researchers from Deep Longevity Limited, Hong Kong; Insilico Medicine, Hong Kong; Buck Institute for Research on Aging, Novato, CA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA.

DOI - https://doi.org/10.18632/aging.204061

Corresponding author - Alex Zhavoronkov - alex@insilico.com

Abstract

In this article, we present a deep learning model of human psychology that can predict one’s current age and future well-being. We used the model to demonstrate that one’s baseline well-being is not the determining factor of future well-being, as posited by hedonic treadmill theory. Further, we have created a 2D map of human psychotypes and identified the regions that are most vulnerable to depression. This map may be used to provide personalized recommendations for maximizing one’s future well-being.

Sign up for free Altmetric alerts about this article - https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.204061

Keywords - aging, self-organizing maps, well-being, artificial intelligence, depression

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at http://www.Aging-US.com​​ and connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Aging-US is published by Impact Journals, LLC: http://www.ImpactJournals.com​​

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

Paper Abstract: Self-Organizing Maps (SOMs) for Future Well-Being

Dr. Liang-Kung Chen from the National Yang-Ming Chiao-Tung University, Taipei, Taiwan details a research paper he co-authored that was published by Aging (Aging-US) in Volume 14, Issue 3, entitled, “Predicting neuropsychiatric symptoms of persons with dementia in a day care center using a facial expression recognition system.”

DOI - https://doi.org/10.18632/aging.203869

Corresponding author - Liang-Kung Chen - lkchen2@vghtpe.gov.tw

Video transcript - https://aging-us.net/2022/06/28/behind-the-study-facial-expression-recognition-predicts-neuropsychiatric-symptoms-of-dementia/

Abstract

Background: Behavioral and psychological symptoms of dementia (BPSD) affect 90% of persons with dementia (PwD), resulting in various adverse outcomes and aggravating care burdens among their caretakers. This study aimed to explore the potential of artificial intelligence-based facial expression recognition systems (FERS) in predicting BPSDs among PwD.

Methods: A hybrid of human labeling and a preconstructed deep learning model was used to differentiate basic facial expressions of individuals to predict the results of Neuropsychiatric Inventory (NPI) assessments by stepwise linear regression (LR), random forest (RF) with importance ranking, and ensemble method (EM) of equal importance, while the accuracy was determined by mean absolute error (MAE) and root-mean-square error (RMSE) methods.

Results: Twenty-three PwD from an adult day care center were enrolled with ≥ 11,500 FERS data series and 38 comparative NPI scores. The overall accuracy was 86% on facial expression recognition. Negative facial expressions and variance in emotional switches were important features of BPSDs. A strong positive correlation was identified in each model (EM: r = 0.834, LR: r = 0.821, RF: r = 0.798 by the patientwise method; EM: r = 0.891, LR: r = 0.870, RF: r = 0.886 by the MinimPy method), and EM exhibited the lowest MAE and RMSE.

Conclusions: FERS successfully predicted the BPSD of PwD by negative emotions and the variance in emotional switches. This finding enables early detection and management of BPSDs, thus improving the quality of dementia care.

Sign up for free Altmetric alerts about this article - https://aging.altmetric.com/details/email_updates?id=10.18632%2Faging.203869

Keywords - aging, artificial intelligence, behavioral and psychological symptoms of dementia, dementia, facial expression recognition system, machine learning

About Aging-US

Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.

Please visit our website at http://www.Aging-US.com​​ or connect with us:

SoundCloud - https://soundcloud.com/Aging-Us
Facebook - https://www.facebook.com/AgingUS/
Twitter - https://twitter.com/AgingJrnl
Instagram - https://www.instagram.com/agingjrnl/
YouTube - https://www.youtube.com/agingus​
LinkedIn - https://www.linkedin.com/company/aging/
Pinterest - https://www.pinterest.com/AgingUS/

Aging-US is published by Impact Journals, LLC: http://www.ImpactJournals.com​​

Media Contact
18009220957
MEDIA@IMPACTJOURNALS.COM

Neuroscience

Refine By

Keep up to date with all your favourite videos and channels.

Get personalised notifications on new releases and channel content by subscribing to the LabTube eNewsletter.