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Weisberg SM, Ebner NC, Seidler RD. Getting LOST: A conceptual framework for supporting and enhancing spatial navigation in aging. WILEY INTERDISCIPLINARY REVIEWS. COGNITIVE SCIENCE 2024; 15:e1669. [PMID: 37933623 PMCID: PMC10939954 DOI: 10.1002/wcs.1669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 10/09/2023] [Accepted: 10/10/2023] [Indexed: 11/08/2023]
Abstract
Spatial navigation is more difficult and effortful for older than younger individuals, a shift which occurs for a variety of neurological, physical, and cognitive reasons associated with aging. Despite a large body of evidence documenting age-related deficits in spatial navigation, comparatively less research addresses how to facilitate more effective navigation behavior for older adults. Since navigation challenges arise for a variety of reasons in old age, a one-size-fits-all solution is unlikely to work. Here, we introduce a framework for the variety of spatial navigation challenges faced in aging, which we call LOST-Location, Orientation, Spatial mapping, and Transit. The LOST framework builds on evidence from the cognitive neuroscience of spatial navigation, which reveals distinct components underpinning human wayfinding. We evaluate research on navigational aids-devices and depictions-which help people find their way around; and we reflect on how navigation aids solve (or fail to solve) specific wayfinding difficulties faced by older adults. In summary, we emphasize a bespoke approach to improving spatial navigation in aging, which focuses on tailoring navigation solutions to specific navigation challenges. Our hope is that by providing precise support to older navigators, navigation opportunities can facilitate independence and exploration, while minimizing the danger of becoming lost. We conclude by delineating critical knowledge gaps in how to improve older adults' spatial navigation capacities that the novel LOST framework could guide to address. This article is categorized under: Psychology > Development and Aging Neuroscience > Cognition Neuroscience > Behavior.
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Affiliation(s)
- Steven M. Weisberg
- Department of Psychology, University of Florida, 945 Center Dr., Gainesville, FL 32611
- Center for Cognitive Aging and Memory, Department of Clinical and Health Psychology, University of Florida, 1225 Center Dr., Gainesville, FL 32611
| | - Natalie C. Ebner
- Department of Psychology, University of Florida, 945 Center Dr., Gainesville, FL 32611
- Center for Cognitive Aging and Memory, Department of Clinical and Health Psychology, University of Florida, 1225 Center Dr., Gainesville, FL 32611
- Institute on Aging, University of Florida, 2004 Mowry Rd., Gainesville, FL 32611
- Department of Physiology and Aging, University of Florida, 1345 Center Drive, Gainesville, FL 32610-0274
| | - Rachael D. Seidler
- Department of Applied Physiology & Kinesiology, University of Florida, 1864 Stadium Rd., Gainesville, FL 32611
- Department of Neurology, University of Florida, 1149 Newell Dr., Gainesville, FL 32611
- Normal Fixel Institute for Neurological Diseases, University of Florida, 3009 SW Williston Rd. 1864 Stadium Rd., Gainesville, FL 32608
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Gerasimov E, Mitenev A, Pchitskaya E, Chukanov V, Bezprozvanny I. NeuroActivityToolkit-Toolbox for Quantitative Analysis of Miniature Fluorescent Microscopy Data. J Imaging 2023; 9:243. [PMID: 37998090 PMCID: PMC10672520 DOI: 10.3390/jimaging9110243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/26/2023] [Accepted: 09/27/2023] [Indexed: 11/25/2023] Open
Abstract
The visualization of neuronal activity in vivo is an urgent task in modern neuroscience. It allows neurobiologists to obtain a large amount of information about neuronal network architecture and connections between neurons. The miniscope technique might help to determine changes that occurred in the network due to external stimuli and various conditions: processes of learning, stress, epileptic seizures and neurodegenerative diseases. Furthermore, using the miniscope method, functional changes in the early stages of such disorders could be detected. The miniscope has become a modern approach for recording hundreds to thousands of neurons simultaneously in a certain brain area of a freely behaving animal. Nevertheless, the analysis and interpretation of the large recorded data is still a nontrivial task. There are a few well-working algorithms for miniscope data preprocessing and calcium trace extraction. However, software for further high-level quantitative analysis of neuronal calcium signals is not publicly available. NeuroActivityToolkit is a toolbox that provides diverse statistical metrics calculation, reflecting the neuronal network properties such as the number of neuronal activations per minute, amount of simultaneously co-active neurons, etc. In addition, the module for analyzing neuronal pairwise correlations is implemented. Moreover, one can visualize and characterize neuronal network states and detect changes in 2D coordinates using PCA analysis. This toolbox, which is deposited in a public software repository, is accompanied by a detailed tutorial and is highly valuable for the statistical interpretation of miniscope data in a wide range of experimental tasks.
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Affiliation(s)
- Evgenii Gerasimov
- Laboratory of Molecular Neurodegeneration, Peter the Great St. Petersburg Polytechnic University, Khlopina St. 11, 194021 St. Petersburg, Russia
| | - Alexander Mitenev
- Laboratory of Molecular Neurodegeneration, Peter the Great St. Petersburg Polytechnic University, Khlopina St. 11, 194021 St. Petersburg, Russia
| | - Ekaterina Pchitskaya
- Laboratory of Molecular Neurodegeneration, Peter the Great St. Petersburg Polytechnic University, Khlopina St. 11, 194021 St. Petersburg, Russia
| | - Viacheslav Chukanov
- Laboratory of Molecular Neurodegeneration, Peter the Great St. Petersburg Polytechnic University, Khlopina St. 11, 194021 St. Petersburg, Russia
| | - Ilya Bezprozvanny
- Laboratory of Molecular Neurodegeneration, Peter the Great St. Petersburg Polytechnic University, Khlopina St. 11, 194021 St. Petersburg, Russia
- Department of Physiology, UT Southwestern Medical Center at Dallas, Dallas, TX 75390, USA
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Jones KT, Gallen CL, Ostrand AE, Rojas JC, Wais P, Rini J, Chan B, Lago AL, Boxer A, Zhao M, Gazzaley A, Zanto TP. Gamma neuromodulation improves episodic memory and its associated network in amnestic mild cognitive impairment: a pilot study. Neurobiol Aging 2023; 129:72-88. [PMID: 37276822 PMCID: PMC10583532 DOI: 10.1016/j.neurobiolaging.2023.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 04/10/2023] [Accepted: 04/17/2023] [Indexed: 06/07/2023]
Abstract
Amnestic mild cognitive impairment (aMCI) is a predementia stage of Alzheimer's disease associated with dysfunctional episodic memory and limited treatment options. We aimed to characterize feasibility, clinical, and biomarker effects of noninvasive neurostimulation for aMCI. 13 individuals with aMCI received eight 60-minute sessions of 40-Hz (gamma) transcranial alternating current stimulation (tACS) targeting regions related to episodic memory processing. Feasibility, episodic memory, and plasma Alzheimer's disease biomarkers were assessed. Neuroplastic changes were characterized by resting-state functional connectivity (RSFC) and neuronal excitatory/inhibitory balance. Gamma tACS was feasible and aMCI participants demonstrated improvement in multiple metrics of episodic memory, but no changes in biomarkers. Improvements in episodic memory were most pronounced in participants who had the highest modeled tACS-induced electric fields and exhibited the greatest changes in RSFC. Increased RSFC was also associated with greater hippocampal excitability and higher baseline white matter integrity. This study highlights initial feasibility and the potential of gamma tACS to rescue episodic memory in an aMCI population by modulating connectivity and excitability within an episodic memory network.
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Affiliation(s)
- Kevin T Jones
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA.
| | - Courtney L Gallen
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA
| | - Avery E Ostrand
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA
| | - Julio C Rojas
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Weill Institute for Neurosciences, Memory and Aging Center, University of California-San Francisco, San Francisco, CA
| | - Peter Wais
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA
| | - James Rini
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA
| | - Brandon Chan
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Weill Institute for Neurosciences, Memory and Aging Center, University of California-San Francisco, San Francisco, CA
| | - Argentina Lario Lago
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Weill Institute for Neurosciences, Memory and Aging Center, University of California-San Francisco, San Francisco, CA
| | - Adam Boxer
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Weill Institute for Neurosciences, Memory and Aging Center, University of California-San Francisco, San Francisco, CA
| | - Min Zhao
- Departments of Ophthalmology and Vision Science and Dermatology, Institute for Regenerative Cures, University of California-Davis, Davis, CA
| | - Adam Gazzaley
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA; Departments of Physiology and Psychiatry, University of California-San Francisco, San Francisco, CA
| | - Theodore P Zanto
- Department of Neurology, University of California-San Francisco, San Francisco, CA; Neuroscape, University of California-San Francisco, San Francisco, CA.
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Liu Q, Davey D, Jimmy J, Ajilore O, Klumpp H. Network Analysis of Behavioral Activation/Inhibition Systems and Brain Volume in Individuals With and Without Major Depressive Disorder or Social Anxiety Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023:S2451-9022(23)00218-5. [PMID: 37659443 PMCID: PMC10904669 DOI: 10.1016/j.bpsc.2023.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 08/11/2023] [Accepted: 08/13/2023] [Indexed: 09/04/2023]
Abstract
BACKGROUND Social anxiety disorder (SAD) and major depressive disorder (MDD) are characterized by behavioral abnormalities in motivational systems, namely the behavioral inhibition system (BIS) and behavioral activation system (BAS). Limited studies indicate brain volume in regions that support emotion, learning/memory, reward, and cognitive functions relate to BIS/BAS. To increase understanding of BIS/BAS, the current study used a network approach. METHODS Patients with SAD (n = 59), patients with MDD (n = 64), and healthy control participants (n = 36) completed a BIS/BAS questionnaire and structural magnetic resonance imaging scans; volumetric regions of interest comprised cortical and limbic structures based on previous BIS/BAS studies. A Bayesian Gaussian graphical model was used for each diagnostic group, and groups were compared. Among network metrics, bridge centrality was of primary interest. Analysis of variance evaluated BIS/BAS behaviors between groups. RESULTS Bridge centrality showed hippocampus positively related to BAS, but not to BIS, in the MDD group; no findings were observed in the SAD or control groups. Yet, network density (i.e., overall strength of relationships between variables) and degree centrality (i.e., overall relationship between one variable to all other variables) showed that cortical (e.g., precuneus, medial orbitofrontal) and subcortical (e.g., amygdala, hippocampus) regions differed between diagnostic groups. Analysis of variance results showed BAS was lower in the MDD/SAD groups compared with the control group, while BIS was higher in the SAD group relative to the MDD group, which in turn was higher than the control group. CONCLUSIONS Preliminary findings indicate that network-level aberrations may underlie motivational abnormalities in MDD and SAD. Evidence of BIS/BAS differences builds on previous work that points to shared and distinct motivational differences in internalizing psychopathologies.
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Affiliation(s)
- Qimin Liu
- Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois
| | - Delaney Davey
- Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois.
| | - Jagan Jimmy
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio
| | - Olusola Ajilore
- Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois
| | - Heide Klumpp
- Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois
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Huang D, Yan S, Shen S, Lv S, Lai S, Zhong S, Jia Y. Effects of virtual reality working memory training on event-based prospective memory in patients with major depressive disorder. J Psychiatr Res 2022; 156:91-99. [PMID: 36244203 DOI: 10.1016/j.jpsychires.2022.09.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 09/17/2022] [Accepted: 09/24/2022] [Indexed: 01/20/2023]
Abstract
BACKGROUND Event-based prospective memory (EBPM) refers to remembering to perform delayed intention when specific events occur. EBPM deficit is present in patients with major depressive disorder (MDD) and hinders recovery from the illness. Working memory training (WMT) has been reported to enhance EBPM but its effect on EBPM in MDD remains unclear. We investigated whether virtual reality (VR)-based WMT can improve EBPM in MDD patients. METHODS Forty-six MDD patients and 41 healthy controls (HC) were recruited. Among the former ones, the first 23 consecutive patients were allocated to the experimental group (MDD-VR) and the next 23 consecutive patients to the waitlist control group (MDD-W). EBPM accuracy was used to assess EBPM performance. Hamilton Depression Rating Scale (HDRS) and Massachusetts General Hospital Cognitive and Physical Functioning Questionnaire (CPFQ) were employed to assess the cognitive functions and the depressive symptoms. RESULTS At baseline, EBPM accuracy did not significantly differ between MDD-VR and MDD-W but was lower in both of these two groups than in HC (both p < 0.001). Group-by-time interactions on EBPM accuracy (F = 4.614, p = 0.031) and CPFQ score (F = 5.754, p = 0.021) were present, whereas no significant group-by-time interaction or group effects were observed for HDRS score (both p > 0.05). After VR intervention, MDD-VR showed an increase in EBPM accuracy (Cohen's d = 1.20 [95% CI: 0.53, 1.86], p = 0.001). CONCLUSIONS Our results demonstrated that VR-based WMT could improve EBPM deficits in MDD patients. Large-scale studies of a VR-based WMT program are indicated.
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Affiliation(s)
- Dong Huang
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Shuya Yan
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China; School of Management, Jinan University, Guangzhou, 510316, China
| | - Shiyi Shen
- School of Management, Jinan University, Guangzhou, 510316, China
| | - Sihui Lv
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China; School of Management, Jinan University, Guangzhou, 510316, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China.
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