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Aksu S, Indahlastari A, O'Shea A, Marsiske M, Cohen R, Alexander GE, DeKosky ST, Hishaw GA, Dai Y, Wu SS, Woods AJ. Facilitation of working memory capacity by transcranial direct current stimulation: a secondary analysis from the augmenting cognitive training in older adults (ACT) study. GeroScience 2024:10.1007/s11357-024-01205-0. [PMID: 38789832 DOI: 10.1007/s11357-024-01205-0] [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: 02/14/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
Aging is a public health concern with an ever-increasing magnitude worldwide. An array of neuroscience-based approaches like transcranial direct current stimulation (tDCS) and cognitive training have garnered attention in the last decades to ameliorate the effects of cognitive aging in older adults. This study evaluated the effects of 3 months of bilateral tDCS over the frontal cortices with multimodal cognitive training on working memory capacity. Two hundred ninety-two older adults without dementia were allocated to active or sham tDCS paired with cognitive training. These participants received repeated sessions of bilateral tDCS over the bilateral frontal cortices, combined with multimodal cognitive training. Working memory capacity was assessed with the digit span forward, backward, and sequencing tests. No baseline differences between active and sham groups were observed. Multiple linear regressions indicated more improvement of the longest digit span backward from baseline to post-intervention (p = 0.021) and a trend towards greater improvement (p = 0.056) of the longest digit span backward from baseline to 1 year in the active tDCS group. No significant between-group changes were observed for digit span forward or digit span sequencing. The present results provide evidence for the potential for tDCS paired with cognitive training to remediate age-related declines in working memory capacity. These findings are sourced from secondary outcomes in a large randomized clinical trial and thus deserve future targeted investigation in older adult populations.
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Affiliation(s)
- Serkan Aksu
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
- Department of Physiology, Faculty of Medicine, Muğla Sıtkı Koçman University, Muğla, Turkey.
| | - Aprinda Indahlastari
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Andrew O'Shea
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Michael Marsiske
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Ronald Cohen
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - Gene E Alexander
- Department of Psychiatry, Neuroscience and Physiological Sciences Graduate Interdisciplinary Programs, and BIO5 Institute, University of Arizona and Arizona Alzheimer's Disease Consortium, Tucson, AZ, USA
- Department of Psychology and Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA
| | - Steven T DeKosky
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Georg A Hishaw
- Department of Psychiatry, Neuroscience and Physiological Sciences Graduate Interdisciplinary Programs, and BIO5 Institute, University of Arizona and Arizona Alzheimer's Disease Consortium, Tucson, AZ, USA
| | - Yunfeng Dai
- Department of Biostatistics, College of Public Health and Health Professions, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Samuel S Wu
- Department of Biostatistics, College of Public Health and Health Professions, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Adam J Woods
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
- Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
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Bomyea J, Feng S, Moore RC, Simmons AN, Thomas ML. Change in resting state functional connectivity following working memory training in individuals with repetitive negative thinking. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024:S2451-9022(24)00119-8. [PMID: 38705463 DOI: 10.1016/j.bpsc.2024.04.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/17/2024] [Accepted: 04/25/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND Repetitive negative thinking (RNT) symptoms, which are characterized by pervasive, uncontrollable negative thoughts, are common in individuals with mood, anxiety, and traumatic stress disorders. Inability to regulate the contents of working memory is a hypothesized etiological factor in RNT, suggesting that training to improve working memory may be beneficial. This study examined the effects of working memory training on resting state functional connectivity (rsFC) in individuals with elevated RNT and whether such changes would be associated with clinical improvement. METHODS We conducted a secondary analysis of pre-post resting state data collected as part of a randomized controlled trial [NCT04912089] of working memory training interventions (n=42) compared to a waitlist control group (n=23). We hypothesized that individuals completing training would show increased rsFC between the two key intrinsic connectivity networks - default mode network (posterior cingulate cortex; PCC) and frontoparietal network (dorsolateral prefrontal cortex; dlPFC). We explored whether magnitude of rsFC change was associated with change in RNT symptom severity. RESULTS rsFC increased between the PCC and regions including frontal and parietal cortex in the training group relative to waitlist. Increased connectivity between the PCC and superior frontal cortex was associated with RNT symptom reduction. CONCLUSIONS These data provide evidence that working memory training can modulate neural circuitry at rest in individuals with RNT. Results align with accounts of working memory training effects on large-scale neurocircuitry changes and suggest that these changes may contribute to clinical promise of this type of intervention on transdiagnostic RNT symptoms.
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Affiliation(s)
- Jessica Bomyea
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System; Department of Psychiatry, University of California San Diego.
| | - Shirley Feng
- Department of Psychiatry, University of California San Diego; Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging
| | - Raeanne C Moore
- Department of Psychiatry, University of California San Diego
| | - Alan N Simmons
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System; Department of Psychiatry, University of California San Diego
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Brooks SJ, Dahl K, Dudley-Jones R, Schiöth HB. A neuroinflammatory compulsivity model of anorexia nervosa (NICAN). Neurosci Biobehav Rev 2024; 159:105580. [PMID: 38417395 DOI: 10.1016/j.neubiorev.2024.105580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 01/31/2024] [Accepted: 02/09/2024] [Indexed: 03/01/2024]
Affiliation(s)
- S J Brooks
- Department of Surgical Sciences, Uppsala University, Sweden; School of Psychology, Liverpool John Moores University, UK; Neuroscience Research Laboratory (NeuRL), Department of Psychology, School of Human and Community Development, University of the Witwatersrand, Johannesburg, South Africa.
| | - K Dahl
- Department of Surgical Sciences, Uppsala University, Sweden
| | - R Dudley-Jones
- School of Psychology, Liverpool John Moores University, UK
| | - H B Schiöth
- Department of Surgical Sciences, Uppsala University, Sweden
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Zou X, Yu F, Huang Q, Huang Y. The effect of cognitive training on children with attention deficit and hyperactivity disorder: A meta-analysis. APPLIED NEUROPSYCHOLOGY. CHILD 2024:1-10. [PMID: 38261550 DOI: 10.1080/21622965.2024.2305874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
OBJECTIVE This document is a meta-analysis of randomized controlled trials that evaluated the effect of cognitive training interventions on attention deficit and hyperactivity disorder (ADHD) symptoms. METHODS A systematic literature search was conducted using databases such as PubMed, Web of Science, and Embase from the inception of each database to April 28, 2022. Data were analyzed using Stata 15 software. The risk of bias assessment was conducted using five domains from the Cochrane Collaborations tool. RESULTS A total of 10 studies with 446 children with ADHD were included. The results showed that cognitive training was effective in improving attention symptoms [SMD= -0.78 (95% CI: -1.46, -0.1)] and executive function [SMD = -0.3 (95% CI: -0.56, -0.05)] in children with ADHD compared to controls. No significant difference in the degree of improvement in hyperactivity/impulsivity with cognitive training compared to the control group [SMD = -0.65 (95% CI: -1.35, 0.05)]. In addition, subgroup analyses also found that cognitive training significantly improved attention in children with ADHD <10 years of age [SMD = -1.3 (95% CI: -2.58, -0.02)] and children with ADHD with length of training >30 days [SMD = -0.94 (95% CI: -1.81, -0.07)] compared to controls. CONCLUSION This meta-analysis found that the beneficial effects of cognitive training on attention (particularly for children with ADHD <10 years old and >30 days of training) and executive function in children with ADHD, but not on hyperactivity/impulsivity.
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Affiliation(s)
- Xiaojie Zou
- Department of Pediatrics, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, Zhejiang Province, China
| | - Feng Yu
- Department of Pediatrics, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, Zhejiang Province, China
| | - Qiuling Huang
- Department of Pediatrics, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, Zhejiang Province, China
| | - Yun Huang
- Department of Pediatrics, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, Zhejiang Province, China
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Caudle MM, Dugas N, Stout DM, Ball TM, Bomyea J. Adjunctive cognitive training with exposure enhances fear and neural outcomes in social anxiety. Psychiatry Res 2023; 327:115416. [PMID: 37604041 DOI: 10.1016/j.psychres.2023.115416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 07/26/2023] [Accepted: 08/11/2023] [Indexed: 08/23/2023]
Abstract
Exposure-based cognitive behavioral therapy (CBT) is the gold standard for treating social anxiety disorder (SAD), yet response is not universal. CBT is thought to operate via extinction-related learning during exposure, which in turn relies on cognitive processes such as working memory. The present proof-of-concept study investigates the potential for training working memory to improve anxiety related outcomes following exposure. Thirty-three adults with elevated social anxiety were randomized to complete a working memory training or sham training condition. Post-training, participants completed a working memory assessment, speech exposure session, and two fMRI tasks. Participants who received working memory training demonstrated lower distress ratings by the end of the speech exposures and better performance on the fMRI working memory task than those in sham. Working memory training completers had greater neural activation in frontoparietal regions during an in-scanner working memory task and exhibited less neural activation in the fusiform gyrus in response to an emotional face processing task than those in sham. Adding working memory training to exposure procedures could strengthen functioning of frontoparietal regions and alter emotional processing - key mechanisms implicated in extinction learning. Findings provide preliminary evidence that training working memory in conjunction with exposure may enhance exposure success.
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Affiliation(s)
- M M Caudle
- San Diego State University, University of California San Diego Joint Doctoral Program in Clinical Psychology, 6363 Alvarado Court, Suite 103, San Diego, CA 92120, United States; Department of Veteran Affairs Medical Center, 3350 La Jolla Village Dr, San Diego, CA 92161, United States; Department of Psychiatry, University of California, 9500 Gilman Dr, La Jolla, CA 92093, United States
| | - N Dugas
- Department of Veteran Affairs Medical Center, 3350 La Jolla Village Dr, San Diego, CA 92161, United States; Department of Psychiatry, University of California, 9500 Gilman Dr, La Jolla, CA 92093, United States
| | - D M Stout
- Department of Psychiatry, University of California, 9500 Gilman Dr, La Jolla, CA 92093, United States; VA San Diego Center of Excellence for Stress and Mental Health, 3350 La Jolla Village Dr, San Diego, CA 92161, United States
| | - T M Ball
- Department of Psychiatry & Behavioral Sciences, Stanford School of Medicine, 401 Quarry Road, Stanford, CA, 94305, United States
| | - J Bomyea
- Department of Psychiatry, University of California, 9500 Gilman Dr, La Jolla, CA 92093, United States; VA San Diego Center of Excellence for Stress and Mental Health, 3350 La Jolla Village Dr, San Diego, CA 92161, United States.
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Verdejo-Garcia A, Rezapour T, Giddens E, Khojasteh Zonoozi A, Rafei P, Berry J, Caracuel A, Copersino ML, Field M, Garland EL, Lorenzetti V, Malloy-Diniz L, Manning V, Marceau EM, Pennington DL, Strickland JC, Wiers R, Fairhead R, Anderson A, Bell M, Boendermaker WJ, Brooks S, Bruno R, Campanella S, Cousijn J, Cox WM, Dean AC, Ersche KD, Franken I, Froeliger B, Gamito P, Gladwin TE, Goncalves PD, Houben K, Jacobus J, Jones A, Kaag AM, Lindenmeyer J, McGrath E, Nardo T, Oliveira J, Pennington CR, Perrykkad K, Piercy H, Rupp CI, Schulte MHJ, Squeglia LM, Staiger P, Stein DJ, Stein J, Stein M, Stoops WW, Sweeney M, Witkiewitz K, Woods SP, Yi R, Zhao M, Ekhtiari H. Cognitive training and remediation interventions for substance use disorders: a Delphi consensus study. Addiction 2023; 118:935-951. [PMID: 36508168 PMCID: PMC10073279 DOI: 10.1111/add.16109] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 11/23/2022] [Indexed: 12/14/2022]
Abstract
AIMS Substance use disorders (SUD) are associated with cognitive deficits that are not always addressed in current treatments, and this hampers recovery. Cognitive training and remediation interventions are well suited to fill the gap for managing cognitive deficits in SUD. We aimed to reach consensus on recommendations for developing and applying these interventions. DESIGN, SETTING AND PARTICIPANTS We used a Delphi approach with two sequential phases: survey development and iterative surveying of experts. This was an on-line study. During survey development, we engaged a group of 15 experts from a working group of the International Society of Addiction Medicine (Steering Committee). During the surveying process, we engaged a larger pool of experts (n = 54) identified via recommendations from the Steering Committee and a systematic review. MEASUREMENTS Survey with 67 items covering four key areas of intervention development: targets, intervention approaches, active ingredients and modes of delivery. FINDINGS Across two iterative rounds (98% retention rate), the experts reached a consensus on 50 items including: (i) implicit biases, positive affect, arousal, executive functions and social processing as key targets of interventions; (ii) cognitive bias modification, contingency management, emotion regulation training and cognitive remediation as preferred approaches; (iii) practice, feedback, difficulty-titration, bias modification, goal-setting, strategy learning and meta-awareness as active ingredients; and (iv) both addiction treatment work-force and specialized neuropsychologists facilitating delivery, together with novel digital-based delivery modalities. CONCLUSIONS Expert recommendations on cognitive training and remediation for substance use disorders highlight the relevance of targeting implicit biases, reward, emotion regulation and higher-order cognitive skills via well-validated intervention approaches qualified with mechanistic techniques and flexible delivery options.
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Affiliation(s)
- Antonio Verdejo-Garcia
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
| | - Tara Rezapour
- Department of Cognitive Psychology, Institute for Cognitive Science Studies, Tehran, Iran
| | - Emily Giddens
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
| | - Arash Khojasteh Zonoozi
- Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran
| | - Parnian Rafei
- Iranian National Center for Addiction Studies, Tehran University of Medical Sciences, Tehran, Iran
| | - Jamie Berry
- Faculty of Medicine and Health Sciences, Macquarie University, Macquarie Park, NSW, Australia
| | - Alfonso Caracuel
- Mind, Brain and Behavior Research Center, Universidad de Granada, Granada, Spain
| | | | - Matt Field
- Department of Psychology, University of Sheffield, Sheffield, UK
| | - Eric L Garland
- Center on Mindfulness and Integrative Health Intervention Development, University of Utah, Salt Lake City, UT, USA
| | - Valentina Lorenzetti
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioral Sciences, Faculty of Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| | - Leandro Malloy-Diniz
- Mental Health Department, Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Victoria Manning
- Turning Point Drug and Alcohol Centre and Monash Addiction Research Centre (MARC), Monash University, Melbourne, VIC, Australia
| | - Ely M Marceau
- School of Psychology and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia
| | - David L Pennington
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Justin C Strickland
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Reinout Wiers
- Addiction Development and Psychopathology (ADAPT) Laboratory, Department of Psychology, Centre for Urban Mental Health, University of Amsterdam, Amsterdam, the Netherlands
| | - Rahia Fairhead
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
| | - Alexandra Anderson
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
| | - Morris Bell
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Wouter J Boendermaker
- Addiction, Development, and Psychopathology (ADAPT) Laboratory, Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - Samantha Brooks
- Research Centre for Brain and Behaviour, School of Psychology, Faculty of Health, Liverpool John Moores University, UK
| | - Raimondo Bruno
- School of Psychology, University of Tasmania, TAS, Hobart, Australia
| | - Salvatore Campanella
- Laboratoire de Psychologie Médicale et d'Addictologie, ULB Neuroscience Institute (UNI), CHU Brugmann-Université Libre de Bruxelles, Bruxelles, Belgium
| | - Janna Cousijn
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, the Netherlands
| | - W Miles Cox
- School of Human and Behavioural Sciences, Bangor University, Bangor, UK
| | - Andrew C Dean
- Department of Psychiatry and Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, CA, USA
| | - Karen D Ersche
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Ingmar Franken
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, the Netherlands
| | - Brett Froeliger
- Department of Psychiatry and Psychological Sciences, University of Missouri, Columbia, MO, USA
| | | | | | - Priscila D Goncalves
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Katrijn Houben
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Joanna Jacobus
- Department of Psychiatry, University of California San Diego, CA, USA
| | - Andrew Jones
- Department of Psychology, University of Liverpool, UK
| | - Anne M Kaag
- Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, the Netherlands
| | | | - Elly McGrath
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Talia Nardo
- School of Psychological Sciences, Macquarie University, NSW, Australia
| | | | | | - Kelsey Perrykkad
- Cognition and Philosophy Laboratory, Monash Centre for Consciousness and Contemplative Studies, Monash University, Melbourne, VIC, Australia
| | - Hugh Piercy
- Monash Addiction Research Centre, Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
| | - Claudia I Rupp
- Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, University Clinics of Psychiatry I, Medical University Innsbruck, Innsbruck, Austria
| | - Mieke H J Schulte
- Department of Clinical, Neuro and Developmental Psychology, Vrije Universiteit Amsterdam, the Netherlands
| | - Lindsay M Squeglia
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
| | - Petra Staiger
- School of Psychology, Deakin University, Melbourne, VIC, Australia
| | - Dan J Stein
- SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Jeff Stein
- Center for Health Behaviors Research, Fralin Biomedical Research Institute at Virginial Tech, VA, USA
| | - Maria Stein
- Department for Clinical Psychology and Psychotherapy, University of Bern, Switzerland
| | - William W Stoops
- Department of Behavioral Science, University of Kentucky, Lexington, KY, USA
| | - Mary Sweeney
- Behavioral Pharmacology Research Unit, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Katie Witkiewitz
- Department of Psychology and Center on Alcohol, Substance Use and Addictions, University of New Mexico, NM, USA
| | - Steven P Woods
- Department of Psychology, University of Houston, Houston, TX, USA
| | - Richard Yi
- Department of Psychology, University of Kansas, Lawrence, KS, USA
| | - Min Zhao
- Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hamed Ekhtiari
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
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Chen PC, Zhang J, Thayer JF, Mednick SC. Understanding the roles of central and autonomic activity during sleep in the improvement of working memory and episodic memory. Proc Natl Acad Sci U S A 2022; 119:e2123417119. [PMID: 36279428 PMCID: PMC9636982 DOI: 10.1073/pnas.2123417119] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
The last decade has seen significant progress in identifying sleep mechanisms that support cognition. Most of these studies focus on the link between electrophysiological events of the central nervous system during sleep and improvements in different cognitive domains, while the dynamic shifts of the autonomic nervous system across sleep have been largely overlooked. Recent studies, however, have identified significant contributions of autonomic inputs during sleep to cognition. Yet, there remain considerable gaps in understanding how central and autonomic systems work together during sleep to facilitate cognitive improvement. In this article we examine the evidence for the independent and interactive roles of central and autonomic activities during sleep and wake in cognitive processing. We specifically focus on the prefrontal-subcortical structures supporting working memory and mechanisms underlying the formation of hippocampal-dependent episodic memory. Our Slow Oscillation Switch Model identifies separate and competing underlying mechanisms supporting the two memory domains at the synaptic, systems, and behavioral levels. We propose that sleep is a competitive arena in which both memory domains vie for limited resources, experimentally demonstrated when boosting one system leads to a functional trade-off in electrophysiological and behavioral outcomes. As these findings inevitably lead to further questions, we suggest areas of future research to better understand how the brain and body interact to support a wide range of cognitive domains during a single sleep episode.
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Affiliation(s)
- Pin-Chun Chen
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104
| | - Jing Zhang
- Department of Cognitive Sciences, University of California, Irvine, CA 92697
| | - Julian F. Thayer
- Department of Psychological Sciences, University of California, Irvine, CA 92697
| | - Sara C. Mednick
- Department of Cognitive Sciences, University of California, Irvine, CA 92697
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Boroshok AL, Park AT, Fotiadis P, Velasquez GH, Tooley UA, Simon KR, Forde JCP, Delgado Reyes LM, Tisdall MD, Bassett DS, Cooper EA, Mackey AP. Individual differences in frontoparietal plasticity in humans. NPJ SCIENCE OF LEARNING 2022; 7:14. [PMID: 35739201 PMCID: PMC9226021 DOI: 10.1038/s41539-022-00130-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 05/30/2022] [Indexed: 06/15/2023]
Abstract
Neuroplasticity, defined as the brain's potential to change in response to its environment, has been extensively studied at the cellular and molecular levels. Work in animal models suggests that stimulation to the ventral tegmental area (VTA) enhances plasticity, and that myelination constrains plasticity. Little is known, however, about whether proxy measures of these properties in the human brain are associated with learning. Here, we investigated the plasticity of the frontoparietal system by asking whether VTA resting-state functional connectivity and myelin map values (T1w/T2w ratios) predicted learning after short-term training on the adaptive n-back (n = 46, ages 18-25). We found that stronger baseline connectivity between VTA and lateral prefrontal cortex predicted greater improvements in accuracy. Lower myelin map values predicted improvements in response times, but not accuracy. Our findings suggest that proxy markers of neural plasticity can predict learning in humans.
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Affiliation(s)
- Austin L Boroshok
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Anne T Park
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Panagiotis Fotiadis
- Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Gerardo H Velasquez
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ursula A Tooley
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Neuroscience Graduate Group, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Katrina R Simon
- Teachers College, Columbia University, New York, NY, 10027, USA
| | - Jasmine C P Forde
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lourdes M Delgado Reyes
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - M Dylan Tisdall
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Dani S Bassett
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Pennsylvania, PA, 19104, USA
- Department of Electrical & Systems Engineering, School of Engineering and Applied Sciences, University of Pennsylvania, Pennsylvania, PA, 19104, USA
- Department of Physics & Astronomy, School of Arts and Sciences, University of Pennsylvania, Pennsylvania, PA, 19104, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA
- Santa Fe Institute, Santa Fe, NM, 87501, USA
| | - Emily A Cooper
- Herbert Wertheim School of Optometry & Vision Science, Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, 94720, USA
| | - Allyson P Mackey
- Department of Psychology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
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Finn PR, Nemes L, Bailey A, Gunn RL, Wiemers EA, Redick TS. The Effects of Working Memory Versus Adaptive Visual Search Control Training on Executive Cognitive Function. JOURNAL OF COGNITIVE ENHANCEMENT 2022. [DOI: 10.1007/s41465-022-00241-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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10
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Johnson EL, Arciniega H, Jones KT, Kilgore-Gomez A, Berryhill ME. Individual predictors and electrophysiological signatures of working memory enhancement in aging. Neuroimage 2022; 250:118939. [PMID: 35104647 PMCID: PMC8923157 DOI: 10.1016/j.neuroimage.2022.118939] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 01/25/2022] [Indexed: 12/21/2022] Open
Abstract
A primary goal of translational neuroscience is to identify the neural mechanisms of age-related cognitive decline and develop protocols to maximally improve cognition. Here, we demonstrate how interventions that apply noninvasive neurostimulation to older adults improve working memory (WM). We found that one session of sham-controlled transcranial direct current stimulation (tDCS) selectively improved WM in older adults with more education, extending earlier work and underscoring the importance of identifying individual predictors of tDCS responsivity. Improvements in WM were associated with two distinct electrophysiological signatures. First, a broad enhancement of theta network synchrony tracked improvements in behavioral accuracy, with tDCS effects moderated by education level. Further analysis revealed that accuracy dynamics reflected an anterior-posterior network distribution regardless of cathode placement. Second, specific enhancements of theta-gamma phase-amplitude coupling (PAC) reflecting tDCS current flow tracked improvements in reaction time (RT). RT dynamics further explained inter-individual variability in WM improvement independent of education. These findings illuminate theta network synchrony and theta-gamma PAC as distinct but complementary mechanisms supporting WM in aging. Both mechanisms are amenable to intervention, the effectiveness of which can be predicted by individual demographic factors.
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Affiliation(s)
- Elizabeth L Johnson
- Northwestern University, Departments of Medical Social Sciences and Pediatrics, Chicago, IL, 60611.
| | - Hector Arciniega
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02215
| | - Kevin T Jones
- University of California-San Francisco, Department of Neurology, Neuroscape, San Francisco, CA, 94158
| | - Alexandrea Kilgore-Gomez
- Department of Psychology, Program in Cognitive and Brain Sciences, Program in Integrative Neuroscience, University of Nevada, Reno, 89557
| | - Marian E Berryhill
- Department of Psychology, Program in Cognitive and Brain Sciences, Program in Integrative Neuroscience, University of Nevada, Reno, 89557.
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Caetano T, Pinho MS, Ramadas E, Clara C, Areosa T, Dixe MDA. Cognitive Training Effectiveness on Memory, Executive Functioning, and Processing Speed in Individuals With Substance Use Disorders: A Systematic Review. Front Psychol 2021; 12:730165. [PMID: 34489833 PMCID: PMC8418081 DOI: 10.3389/fpsyg.2021.730165] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 07/20/2021] [Indexed: 12/20/2022] Open
Abstract
Background: Cerebral neuroplasticity is compromised due to substance abuse. There is damage to neuronal areas that are involved in memory and executive functioning. Treatments with worse outcomes are often associated with cognitive deficits that have resulted from substance dependence. However, there is evidence that cognitive training can lead to improvements in cognitive functions and can be useful when treating addictions. This systematic review aims to synthesize evidence on the effectiveness of cognitive training in memory, executive functioning, and processing speed in individuals with substance use disorder (SUD). Methods: The Joanna Briggs Institute's PICO strategy was used to develop this systematic literature review. Four databases were searched (PubMed, the Cochrane Library, Web of Science, and PsycINFO) to identify controlled randomized clinical studies and quasi-experimental studies, in English, Portuguese, and Spanish, from 1985 to 2019. The literature found was examined by two independent reviewers, who assessed the quality of studies that met the inclusion criteria. The Cochrane risk-of-bias tool for the randomized controlled trials and the ROBINS-I tool for non-randomized studies were used to assess the risk of bias. In data extraction, the Cochrane Handbook for Systematic Reviews was considered. Results: From a total of 470 studies, 319 were selected for analysis after the elimination of duplicates. According to the inclusion criteria defined, 26 studies were eligible and evaluated. An evaluation was performed considering the participant characteristics, countries, substance type, study and intervention details, and key findings. Of the 26 selected studies, 14 considered only alcoholics, six included participants with various SUD (alcohol and other substances), three exclusively looked into methamphetamine-consuming users and another three into opioid/methadone users. Moreover, 18 studies found some kind of cognitive improvement, with two of these reporting only marginally significant effects. One study found improvements only in measures similar to the training tasks, and two others had ambiguous results. Conclusions: The included studies revealed the benefits of cognitive training with regard to improving cognitive functions in individuals with SUD. Memory was the most scrutinized cognitive function in this type of intervention, and it is also one of the areas most affected by substance use. Systematic Review Registration: [PROSPERO], identifier [CRD42020161039].
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Affiliation(s)
- Tânia Caetano
- Center for Research in Neuropsychology and Cognitive and Behavioral Intervention, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal.,Center for Innovative Care and Health Technology (ciTechcare), Polytechnic of Leiria, Leiria, Portugal.,VillaRamadas International Treatment Centre, Research and Innovation Department, Leiria, Portugal
| | - Maria Salomé Pinho
- Center for Research in Neuropsychology and Cognitive and Behavioral Intervention, Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal
| | - Eduardo Ramadas
- Center for Innovative Care and Health Technology (ciTechcare), Polytechnic of Leiria, Leiria, Portugal.,VillaRamadas International Treatment Centre, Research and Innovation Department, Leiria, Portugal
| | - Cátia Clara
- VillaRamadas International Treatment Centre, Research and Innovation Department, Leiria, Portugal
| | - Timóteo Areosa
- Center for Innovative Care and Health Technology (ciTechcare), Polytechnic of Leiria, Leiria, Portugal
| | - Maria Dos Anjos Dixe
- Center for Innovative Care and Health Technology (ciTechcare), Polytechnic of Leiria, Leiria, Portugal
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Muller AM, Meyerhoff DJ. Maladaptive brain organization at 1 month into abstinence as an indicator for future relapse in patients with alcohol use disorder. Eur J Neurosci 2021; 53:2923-2938. [PMID: 33630358 PMCID: PMC8252378 DOI: 10.1111/ejn.15161] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 02/22/2021] [Accepted: 02/23/2021] [Indexed: 12/11/2022]
Abstract
Abstinence is a lifelong endeavor, and the risk of a relapse is always present for patients with Alcohol Use Disorder (AUD). The aim of the study was to better understand specific characteristics of the intrinsic whole-brain-network architecture of 34 AUD patients that may support abstinence or relapse. We used Graph Theory Analysis (GTA) of resting-state fMRI data from treatment seekers at 1 month of abstinence and their follow-up data as abstainers or relapsers 3 months later, together with data from 30 light/non-drinking controls scanned at the same interval. We determined the group-specific intrinsic community configurations at both timepoints as well as the corresponding modularity Q, a GTA measure that quantifies how well individual network communities are separated from each other. Both AUD groups at both timepoints had community configurations significantly different from those of controls, but the three groups did not significantly differ in their Q values. However, relapsers showed a maladaptive community configuration at baseline, which became more similar to the controls' community organization after the relapsers had started consuming alcohol again during the study interval. Additionally, successful recovery from AUD was not associated with re-gaining the intrinsic brain organization found in light/non-drinkers, but with a re-configuration resulting in a new brain organization distinctly different from that of healthy controls. Resting-state fMRI provides useful measures reflecting neuroplastic adaptations related to AUD treatment outcome.
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Affiliation(s)
- Angela M Muller
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Dieter J Meyerhoff
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
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