scholarly journals Functional Requirements of Small- and Large-Scale Neural Circuitry Connectome Models

2020 ◽  
pp. 249-260
Author(s):  
Kristen W. Carlson ◽  
Jay L. Shils ◽  
Longzhi Mei ◽  
Jeffrey E. Arle
Keyword(s):  
Back Pain ◽  
Functional Connectivity ◽  
Cognitive Decline ◽  
Large Scale ◽  
Neural Circuitry ◽  
Functional Requirements ◽  
Computational Power ◽  
Age Related ◽  
The Subject ◽  
Age Related Cognitive Decline

AbstractWe have truly entered the Age of the Connectome due to a confluence of advanced imaging tools, methods such as the flavors of functional connectivity analysis and inter-species connectivity comparisons, and computational power to simulate neural circuitry. The interest in connectomes is reflected in the exponentially rising number of articles on the subject. What are our goals? What are the “functional requirements” of connectome modelers? We give a perspective on these questions from our group whose focus is modeling neurological disorders, such as neuropathic back pain, epilepsy, Parkinson’s disease, and age-related cognitive decline, and treating them with neuromodulation.

scholarly journals Alpha Power and Functional Connectivity in Cognitive Decline: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 78 (3) ◽  
pp. 1047-1088
Author(s):  
Nena Lejko ◽  
Daouia I. Larabi ◽  
Christoph S. Herrmann ◽  
André Aleman ◽  
Branislava Ćurčić-Blake
Keyword(s):  
Functional Connectivity ◽  
Cognitive Decline ◽  
Meta Analysis ◽  
Neural Oscillations ◽  
Alpha Power ◽  
Healthy Older Adults ◽  
Age Related ◽  
Neurodegenerative Dementia ◽  
Meta Analyses ◽  
Age Related Cognitive Decline

Background: Mild cognitive impairment (MCI) is a stage between expected age-related cognitive decline and dementia. Dementias have been associated with changes in neural oscillations across the frequency spectrum, including the alpha range. Alpha is the most prominent rhythm in human EEG and is best detected during awake resting state (RS). Though several studies measured alpha power and synchronization in MCI, findings have not yet been integrated. Objective: To consolidate findings on power and synchronization of alpha oscillations across stages of cognitive decline. Methods: We included studies published until January 2020 that compared power or functional connectivity between 1) people with MCI and cognitively healthy older adults (OA) or people with a neurodegenerative dementia, and 2) people with progressive and stable MCI. Random-effects meta-analyses were performed when enough data was available. Results: Sixty-eight studies were included in the review. Global RS alpha power was lower in AD than in MCI (ES = –0.30; 95% CI = –0.51, –0.10; k = 6), and in MCI than in OA (ES = –1.49; 95% CI = –2.69, –0.29; k = 5). However, the latter meta-analysis should be interpreted cautiously due to high heterogeneity. The review showed lower RS alpha power in progressive than in stable MCI, and lower task-related alpha reactivity in MCI than in OA. People with MCI had both lower and higher functional connectivity than OA. Publications lacked consistency in MCI diagnosis and EEG measures. Conclusion: Research indicates that RS alpha power decreases with increasing impairment, and could—combined with measures from other frequency bands—become a biomarker of early cognitive decline.

scholarly journals The Effects of the BAILAMOS Dance Program on Brain Functional Connectivity of Older Latinos: An Exploratory Study

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 504-505
Author(s):  
Guilherme Moraes Balbim ◽  
Olusola Ajilore ◽  
Melissa Lamar ◽  
Kirk Erickson ◽  
Susan Aguiñaga ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Cognitive Decline ◽  
Resting State ◽  
Leisure Time Physical Activity ◽  
Brain Networks ◽  
Resting State Fmri ◽  
Post Intervention ◽  
Age Related ◽  
Brain Functional Connectivity ◽  
Age Related Cognitive Decline

Abstract Compared to non-Latinos whites, older Latinos are at higher risk of cognitive impairment and engage in less leisure-time physical activity (PA). Resting-state brain functional connectivity (FC) is a putative biomarker for age-related cognitive decline. PA plays a role in FC of brain networks associated with cognitive decline. Objective: Investigate the effects of the BAILAMOS™ dance program on FC in three brain networks associated with age-related cognitive decline (Default Mode [DMN], Frontoparietal [FPN], and Salience [SAL] networks). Methods: Single-group pre-post design. Ten cognitively intact older Latinos participated in the four-month (2x/week for 60min) BAILAMOS™ dance program with four Latin dance styles. MRI was obtained pre- and post-intervention. FC was analyzed using the resting-state fMRI toolbox (CONN) via pairwise BOLD signal correlations and then converted into z-scores. We performed dependent t-tests, computed Cohen’s d and 95%CI for p < 0.05. Results: Within-FPN FC significantly increased (t(9) = 2.35, p = 0.043, d = 0.70) from pre (M=0.49±0.15) to post-intervention (M=0.59±0.13). In the DMN, we observed moderate effect size changes in the ratio of the FC between-networks by the FC within-networks (Mdiff = 0.10; 95%CI = -0.01; 0.21, p = 0.08, d = 0.64). Conclusions: The BAILAMOS™ program increased within-FPN FC, which is a cognitive-control network related to adaptive control and flexibility. Moderate changes between- vs. within-DMN FC suggest BAILAMOS™ also increased whole-brain DMN integration. Taken together, results might signal that Latin dance can combat the disruption of FC between the DMN and other networks, and within-FPN, which are associated with cognitive decline.

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.

Occupational differences in age-related cognitive decline

2008 ◽  
Author(s):  
J. Grosch ◽  
T. Alterman ◽  
J. Li ◽  
G. Fisher
Keyword(s):  
Cognitive Decline ◽  
Occupational Differences ◽  
Age Related ◽  
Age Related Cognitive Decline

scholarly journals Targeting impaired nutrient sensing with repurposed therapeutics to prevent or treat age-related cognitive decline and dementia: A systematic review

2021 ◽  
Vol 67 ◽  
pp. 101302
Author(s):  
Benjamin Kioussis ◽  
Camilla S.L. Tuttle ◽  
Daniel S. Heard ◽  
Brian K. Kennedy ◽  
Nicola T. Lautenschlager ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cognitive Decline ◽  
Nutrient Sensing ◽  
Age Related ◽  
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.

scholarly journals Multimodal measurement approach to identify individuals with mild cognitive impairment: study protocol for a cross-sectional trial

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e046879
Author(s):  
Bernhard Grässler ◽  
Fabian Herold ◽  
Milos Dordevic ◽  
Tariq Ali Gujar ◽  
Sabine Darius ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Statistical Analysis ◽  
Cognitive Decline ◽  
Cognitive Performance ◽  
Classification Accuracy ◽  
Multimodal Approach ◽  
Cross Sectional ◽  
Age Related ◽  
Age Related Cognitive Decline

IntroductionThe diagnosis of mild cognitive impairment (MCI), that is, the transitory phase between normal age-related cognitive decline and dementia, remains a challenging task. It was observed that a multimodal approach (simultaneous analysis of several complementary modalities) can improve the classification accuracy. We will combine three noninvasive measurement modalities: functional near-infrared spectroscopy (fNIRS), electroencephalography and heart rate variability via ECG. Our aim is to explore neurophysiological correlates of cognitive performance and whether our multimodal approach can aid in early identification of individuals with MCI.Methods and analysisThis study will be a cross-sectional with patients with MCI and healthy controls (HC). The neurophysiological signals will be measured during rest and while performing cognitive tasks: (1) Stroop, (2) N-back and (3) verbal fluency test (VFT). Main aims of statistical analysis are to (1) determine the differences in neurophysiological responses of HC and MCI, (2) investigate relationships between measures of cognitive performance and neurophysiological responses and (3) investigate whether the classification accuracy can be improved by using our multimodal approach. To meet these targets, statistical analysis will include machine learning approaches.This is, to the best of our knowledge, the first study that applies simultaneously these three modalities in MCI and HC. We hypothesise that the multimodal approach improves the classification accuracy between HC and MCI as compared with a unimodal approach. If our hypothesis is verified, this study paves the way for additional research on multimodal approaches for dementia research and fosters the exploration of new biomarkers for an early detection of nonphysiological age-related cognitive decline.Ethics and disseminationEthics approval was obtained from the local Ethics Committee (reference: 83/19). Data will be shared with the scientific community no more than 1 year following completion of study and data assembly.Trial registration numberClinicalTrials.gov, NCT04427436, registered on 10 June 2020, https://clinicaltrials.gov/ct2/show/study/NCT04427436.

scholarly journals Hippocampal dysregulation of synaptic plasticity-associated proteins with age-related cognitive decline

2011 ◽  
Vol 43 (1) ◽  
pp. 201-212 ◽  
Author(s):  
Heather D. VanGuilder ◽  
Julie A. Farley ◽  
Han Yan ◽  
Colleen A. Van Kirk ◽  
Matthew Mitschelen ◽  
...  
Keyword(s):  
Synaptic Plasticity ◽  
Cognitive Decline ◽  
Age Related ◽  
Associated Proteins ◽  
Age Related Cognitive Decline

scholarly journals Introduction

2012 ◽  
Vol 24 (S1) ◽  
pp. S1-S2 ◽  
Author(s):  
Seol-Heui Han ◽  
Helen Lavretsky
Keyword(s):  
Cognitive Decline ◽  
Ginkgo Biloba ◽  
Symptomatic Treatment ◽  
Egb 761 ◽  
Target Populations ◽  
Age Related ◽  
Expert Meeting ◽  
Recent Developments ◽  
Study Designs ◽  
Age Related Cognitive Decline

In June 2011, Dr. Willmar Schwabe Pharmaceuticals sponsored a two-day expert meeting in Amsterdam, The Netherlands. The meeting brought together 19 dementia experts from a range of disciplines and countries to review preclinical and clinical data on Ginkgo biloba special extract EGb 761® in the context of recent developments in the diagnosis and treatment of age-related cognitive decline and Alzheimer's disease (AD). Ginkgo biloba special extract EGb 761® is formally approved and reimbursed for the symptomatic treatment of age-related cognitive decline or dementia by numerous authorities worldwide. The meeting therefore focused on relevant research questions and potential study designs with appropriate target populations to prove the efficacy of Ginkgo biloba special extract EGb 761® as a disease-modifying product in AD and to reveal further relevant modes of action.

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