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Hernandez AR, Parker E, Babar M, Banerjee A, Ding S, Simley A, Buford TW. Microbiome-driven alterations in metabolic pathways and impaired cognition in aged female TgF344-AD rats. AGING BRAIN 2024; 5:100119. [PMID: 38881651 PMCID: PMC11179252 DOI: 10.1016/j.nbas.2024.100119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 05/09/2024] [Accepted: 05/28/2024] [Indexed: 06/18/2024] Open
Abstract
Alzheimer's disease (AD) not only affects cognition and neuropathology, but several other facets capable of negatively impacting quality of life and potentially driving impairments, including altered gut microbiome (GMB) composition and metabolism. Aged (20 + mo) female TgF344-AD and wildtype rats were cognitively characterized on several tasks incorporating several cognitive domains, including task acquisition, object recognition memory, anxiety-like behaviors, and spatial navigation. Additionally, metabolic phenotyping, GMB sequencing throughout the intestinal tract (duodenum, jejunum, ileum, colon, and feces), neuropathological burden assessment and marker gene functional abundance predictions (PICRUSt2) were conducted. TgF344-AD rats demonstrated significant cognitive impairment in multiple domains, as well as regionally specific GMB dysbiosis. Relationships between peripheral factors were investigated using Canonical Correspondence Analysis (CCA), revealing correlations between GMB changes and both cognitive and metabolic factors. Moreover, communities of gut microbes contributing to essential metabolic pathways were significantly altered in TgF344-AD rats. These data indicate dysbiosis may affect cognitive outcomes in AD through alterations in metabolism-related enzymatic pathways that are necessary for proper brain function. Moreover, these changes were mostly observed in intestinal segments required for carbohydrate digestion, not fecal samples. These data support the targeting of intestinal and microbiome health for the treatment of AD.
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Affiliation(s)
- Abbi R Hernandez
- Department of Medicine, Division of Geriatrics, Gerontology & Palliative Care, University of Alabama at Birmingham, Birmingham, AL 35205, USA
| | - Erik Parker
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University-Bloomington, Bloomington, IN 47405, USA
| | - Maham Babar
- Department of Medicine, Division of Geriatrics, Gerontology & Palliative Care, University of Alabama at Birmingham, Birmingham, AL 35205, USA
| | - Anisha Banerjee
- Department of Medicine, Division of Geriatrics, Gerontology & Palliative Care, University of Alabama at Birmingham, Birmingham, AL 35205, USA
| | - Sarah Ding
- Department of Medicine, Division of Geriatrics, Gerontology & Palliative Care, University of Alabama at Birmingham, Birmingham, AL 35205, USA
| | - Alexis Simley
- Department of Medicine, Division of Geriatrics, Gerontology & Palliative Care, University of Alabama at Birmingham, Birmingham, AL 35205, USA
| | - Thomas W Buford
- Department of Medicine, Division of Geriatrics, Gerontology & Palliative Care, University of Alabama at Birmingham, Birmingham, AL 35205, USA
- Birmingham/Atlanta VA GRECC, Birmingham VA Medical Center, Birmingham, AL 35244, USA
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Lapanan K, Kantha P, Nantachai G, Hemrungrojn S, Maes M. The prefrontal cortex hemodynamic responses to dual-task paradigms in older adults: A systematic review and meta-analysis. Heliyon 2023; 9:e17812. [PMID: 37519646 PMCID: PMC10372207 DOI: 10.1016/j.heliyon.2023.e17812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 05/16/2023] [Accepted: 06/28/2023] [Indexed: 08/01/2023] Open
Abstract
Background Functional near-infrared spectroscopy (fNIRS) is a method to measure cerebral hemodynamics. Determining the changes in prefrontal cortex (PFC) hemodynamics during dual-task paradigms is essential in explaining alterations in physical activities, especially in older adults. Aims To systematically review and meta-analyze the effects of dual-task paradigms on PFC hemodynamics in older adults. Methods The search was conducted in PubMed, Scopus, and Web of Science from inception until March 2023 to identify studies on the effects of dual-task paradigms on PFC hemodynamics. The meta-analysis included variables of cerebral hemodynamics, such as oxygenated hemoglobin (HbO2) and deoxygenated hemoglobin (HbR). The heterogeneity of the included studies was determined using the I2 statistic. Additionally, subgroup analysis was conducted to compare the effects of different types of cognitive tasks. Results A total of 37 studies were included in the systematic review, 25 studies comprising 2224 older adults were included in the meta-analysis. Our findings showed that inhibitory control and working memory tasks significantly increased HbO2 in the PFC by 0.53 (p < 0.01, 95% CI = 0.37 to 0.70) and 0.13 (p < 0.01, 95% CI = 0.08 to 0.18) μmol/L, respectively. Overall, HbO2 was significantly increased during dual-task paradigms by 0.36 μmol/L (P < 0.01, 95% CI = 0.27 to 0.45). Moreover, dual-task paradigms also decreased HbR in the PFC by 0.04 (P < 0.01, 95% CI = -0.07 to -0.01). Specifically, HbR decreased by 0.08 during inhibitory control tasks (p < 0.01, 95% CI = -0.13 to -0.02), but did not change during working memory tasks. Conclusion Cognitive tasks related to inhibitory control required greater cognitive demands, indicating higher pfc activation during dual-task paradigms in older adults. for clinical implications, the increase in pfc oxygenated hemoglobin and decrease in pfc deoxygenated hemoglobin may help explain why older adults are more likely to fall during daily activities.
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Affiliation(s)
- Kulvara Lapanan
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Cognitive Fitness and Biopsychiatry Technology Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Phunsuk Kantha
- School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan
- Faculty of Physical Therapy, Mahidol University, Nakhon Pathom, Thailand
| | - Gallayaporn Nantachai
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Somdet Phra Sangharaj Nyanasamvara Geriatric Hospital, Department of Medical Services, Ministry of Public Health, Chon Buri Province, Thailand
| | - Solaphat Hemrungrojn
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Cognitive Fitness and Biopsychiatry Technology Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Cognitive Fitness and Biopsychiatry Technology Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Cognitive Impairment and Dementia Research Unit, Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Deakin University, IMPACT - the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia
- Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria
- Mental Health Center, University of Electronic Science and Technology of China, Chengdu 611731, China
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Gaynor LS, Ravi M, Zequeira S, Hampton AM, Pyon WS, Smith S, Colon-Perez LM, Pompilus M, Bizon JL, Maurer AP, Febo M, Burke SN. Touchscreen-Based Cognitive Training Alters Functional Connectivity Patterns in Aged But Not Young Male Rats. eNeuro 2023; 10:ENEURO.0329-22.2023. [PMID: 36754628 PMCID: PMC9961373 DOI: 10.1523/eneuro.0329-22.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 12/31/2022] [Accepted: 01/26/2023] [Indexed: 02/10/2023] Open
Abstract
Age-related cognitive decline is related to cellular and systems-level disruptions across multiple brain regions. Because age-related cellular changes within different structures do not show the same patterns of dysfunction, interventions aimed at optimizing function of large-scale brain networks may show greater efficacy at improving cognitive outcomes in older adults than traditional pharmacotherapies. The current study aimed to leverage a preclinical rat model of aging to determine whether cognitive training in young and aged male rats with a computerized paired-associates learning (PAL) task resulted in changes in global resting-state functional connectivity. Moreover, seed-based functional connectivity was used to examine resting state connectivity of cortical areas involved in object-location associative memory and vulnerable in old age, namely the medial temporal lobe (MTL; hippocampal cortex and perirhinal cortex), retrosplenial cortex (RSC), and frontal cortical areas (prelimbic and infralimbic cortices). There was an age-related increase in global functional connectivity between baseline and post-training resting state scans in aged, cognitively trained rats. This change in connectivity following cognitive training was not observed in young animals, or rats that traversed a track for a reward between scan sessions. Relatedly, an increase in connectivity between perirhinal and prelimbic cortices, as well as reduced reciprocal connectivity within the RSC, was found in aged rats that underwent cognitive training, but not the other groups. Subnetwork activation was associated with task performance across age groups. Greater global functional connectivity and connectivity between task-relevant brain regions may elucidate compensatory mechanisms that can be engaged by cognitive training.
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Affiliation(s)
- Leslie S Gaynor
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94158
| | - Meena Ravi
- Department of Neuroscience, University of Florida, Gainesville, FL 32610
- McKnight Brain Institute and College of Medicine, University of Florida, Gainesville, FL 32610
| | - Sabrina Zequeira
- Department of Neuroscience, University of Florida, Gainesville, FL 32610
- McKnight Brain Institute and College of Medicine, University of Florida, Gainesville, FL 32610
| | - Andreina M Hampton
- Department of Neuroscience, University of Florida, Gainesville, FL 32610
| | - Wonn S Pyon
- Department of Neuroscience, University of Florida, Gainesville, FL 32610
- McKnight Brain Institute and College of Medicine, University of Florida, Gainesville, FL 32610
| | - Samantha Smith
- Department of Neuroscience, University of Florida, Gainesville, FL 32610
- McKnight Brain Institute and College of Medicine, University of Florida, Gainesville, FL 32610
| | - Luis M Colon-Perez
- Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, TX 76107
| | - Marjory Pompilus
- Department of Psychiatry, University of Florida, Gainesville, FL 32610
| | - Jennifer L Bizon
- Department of Neuroscience, University of Florida, Gainesville, FL 32610
- McKnight Brain Institute and College of Medicine, University of Florida, Gainesville, FL 32610
| | - Andrew P Maurer
- Department of Neuroscience, University of Florida, Gainesville, FL 32610
- McKnight Brain Institute and College of Medicine, University of Florida, Gainesville, FL 32610
| | - Marcelo Febo
- Department of Psychiatry, University of Florida, Gainesville, FL 32610
- McKnight Brain Institute and College of Medicine, University of Florida, Gainesville, FL 32610
| | - Sara N Burke
- Department of Neuroscience, University of Florida, Gainesville, FL 32610
- McKnight Brain Institute and College of Medicine, University of Florida, Gainesville, FL 32610
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Schiavo A, Martins LA, Wearick-Silva LE, Orso R, Xavier LL, Mestriner RG. Can anxiety-like behavior and spatial memory predict the extremes of skilled walking performance in mice? An exploratory, preliminary study. Front Behav Neurosci 2023; 17:1059029. [PMID: 36926582 PMCID: PMC10011164 DOI: 10.3389/fnbeh.2023.1059029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 01/26/2023] [Indexed: 03/08/2023] Open
Abstract
Introduction Skilled walking is influenced by memory, stress, and anxiety. While this is evident in cases of neurological disorders, memory, and anxiety traits may predict skilled walking performance even in normal functioning. Here, we address whether spatial memory and anxiety-like behavior can predict skilled walking performance in mice. Methods A cohort of 60 adult mice underwent a behavioral assessment including general exploration (open field), anxiety-like behavior (elevated plus maze), working and spatial memory (Y-maze and Barnes maze), and skilled walking performance (ladder walking test). Three groups were established based on their skilled walking performance: superior (SP, percentiles ≥75), regular (RP, percentiles 74-26), and inferior (IP, percentiles ≤25) performers. Results Animals from the SP and IP groups spent more time in the elevated plus maze closed arms compared to the RP group. With every second spent in the elevated plus maze closed arms, the probability of the animal exhibiting extreme percentiles in the ladder walking test increased by 1.4%. Moreover, animals that spent 219 s (73% of the total time of the test) or more in those arms were 4.67 times more likely to exhibit either higher or lower percentiles of skilled walking performance. Discussion We discuss and conclude anxiety traits may influence skilled walking performance in facility-reared mice.
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Affiliation(s)
- Aniuska Schiavo
- Graduate Program in Biomedical Gerontology, School of Medicine, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.,Neuroplasticity and Rehabilitation Research Group (NEUROPLAR), Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Lucas Athaydes Martins
- Graduate Program in Biomedical Gerontology, School of Medicine, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.,Neuroplasticity and Rehabilitation Research Group (NEUROPLAR), Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Luís Eduardo Wearick-Silva
- Developmental Cognitive Neuroscience Lab (DCNL), Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Rodrigo Orso
- Developmental Cognitive Neuroscience Lab (DCNL), Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Léder Leal Xavier
- Neuroplasticity and Rehabilitation Research Group (NEUROPLAR), Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.,School of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
| | - Régis Gemerasca Mestriner
- Graduate Program in Biomedical Gerontology, School of Medicine, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.,Neuroplasticity and Rehabilitation Research Group (NEUROPLAR), Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.,School of Health and Life Sciences, Pontifical Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
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Dans PW, Foglia SD, Nelson AJ. Data Processing in Functional Near-Infrared Spectroscopy (fNIRS) Motor Control Research. Brain Sci 2021; 11:606. [PMID: 34065136 PMCID: PMC8151801 DOI: 10.3390/brainsci11050606] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/05/2021] [Accepted: 05/07/2021] [Indexed: 12/26/2022] Open
Abstract
FNIRS pre-processing and processing methodologies are very important-how a researcher chooses to process their data can change the outcome of an experiment. The purpose of this review is to provide a guide on fNIRS pre-processing and processing techniques pertinent to the field of human motor control research. One hundred and twenty-three articles were selected from the motor control field and were examined on the basis of their fNIRS pre-processing and processing methodologies. Information was gathered about the most frequently used techniques in the field, which included frequency cutoff filters, wavelet filters, smoothing filters, and the general linear model (GLM). We discuss the methodologies of and considerations for these frequently used techniques, as well as those for some alternative techniques. Additionally, general considerations for processing are discussed.
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Affiliation(s)
- Patrick W. Dans
- Department of Kinesiology, McMaster University, Hamilton, ON L8S 4K1, Canada;
| | - Stevie D. Foglia
- School of Biomedical Engineering, McMaster University, Hamilton, ON L8S 4K1, Canada;
| | - Aimee J. Nelson
- Department of Kinesiology, McMaster University, Hamilton, ON L8S 4K1, Canada;
- School of Biomedical Engineering, McMaster University, Hamilton, ON L8S 4K1, Canada;
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