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Lee HK, Basak C, Grant SJ, Ray NR, Skolasinska PA, Oehler C, Qin S, Sun A, Smith ET, Sherard GH, Rivera-Dompenciel A, Merzenich M, Voss MW. The Effects of Computerized Cognitive Training in Older Adults' Cognitive Performance and Biomarkers of Structural Brain Aging. J Gerontol B Psychol Sci Soc Sci 2024; 79:gbae075. [PMID: 38686621 PMCID: PMC11165429 DOI: 10.1093/geronb/gbae075] [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: 07/24/2023] [Indexed: 05/02/2024] Open
Abstract
OBJECTIVES Cognitive training (CT) has been investigated as a means of delaying age-related cognitive decline in older adults. However, its impact on biomarkers of age-related structural brain atrophy has rarely been investigated, leading to a gap in our understanding of the linkage between improvements in cognition and brain plasticity. This study aimed to explore the impact of CT on cognitive performance and brain structure in older adults. METHODS One hundred twenty-four cognitively normal older adults recruited from 2 study sites were randomly assigned to either an adaptive CT (n = 60) or a casual game training (active control, AC, n = 64). RESULTS After 10 weeks of training, CT participants showed greater improvements in the overall cognitive composite score (Cohen's d = 0.66, p < .01) with nonsignificant benefits after 6 months from the completion of training (Cohen's d = 0.36, p = .094). The CT group showed significant maintenance of the caudate volume as well as significant maintained fractional anisotropy in the left internal capsule and in left superior longitudinal fasciculus compared to the AC group. The AC group displayed an age-related decrease in these metrics of brain structure. DISCUSSION Results from this multisite clinical trial demonstrate that the CT intervention improves cognitive performance and helps maintain caudate volume and integrity of white matter regions that are associated with cognitive control, adding to our understanding of the changes in brain structure contributing to changes in cognitive performance from adaptive CT. CLINICAL TRIAL REGISTRATION NCT03197454.
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Affiliation(s)
- Hyun Kyu Lee
- Department of Research and Development, Posit Science Corporation, San Francisco, California, USA
| | | | - Sarah-Jane Grant
- Department of Research and Development, Posit Science Corporation, San Francisco, California, USA
| | - Nicholas R Ray
- Department of Psychology, University of Texas at Dallas, Dallas, Texas, USA
| | | | - Chris Oehler
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, Iowa, USA
| | - Shuo Qin
- Department of Psychology, University of Texas at Dallas, Dallas, Texas, USA
| | - Andrew Sun
- Department of Psychology, University of Texas at Dallas, Dallas, Texas, USA
| | - Evan T Smith
- Department of Psychology, University of Texas at Dallas, Dallas, Texas, USA
| | - G Hulon Sherard
- Department of Psychology, University of Texas at Dallas, Dallas, Texas, USA
| | | | - Mike Merzenich
- Department of Research and Development, Posit Science Corporation, San Francisco, California, USA
| | - Michelle W Voss
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, Iowa, USA
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2
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Patterson RA, Brooks H, Mirjalili M, Rashidi-Ranjbar N, Zomorrodi R, Blumberger DM, Fischer CE, Flint AJ, Graff-Guerrero A, Herrmann N, Kennedy JL, Kumar S, Lanctôt KL, Mah L, Mulsant BH, Pollock BG, Voineskos AN, Wang W, Rajji TK. Neurophysiological and other features of working memory in older adults at risk for dementia. Cogn Neurodyn 2024; 18:795-811. [PMID: 38826646 PMCID: PMC11143125 DOI: 10.1007/s11571-023-09938-y] [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: 04/18/2022] [Revised: 01/19/2023] [Accepted: 01/31/2023] [Indexed: 03/06/2023] Open
Abstract
Theta-gamma coupling (TGC) is a neurophysiological process that supports working memory. Working memory is associated with other clinical and biological features. The extent to which TGC is associated with these other features and whether it contributes to working memory beyond these features is unknown. Two-hundred-and-three older participants at risk for Alzheimer's dementia-98 with mild cognitive impairment (MCI), 39 with major depressive disorder (MDD) in remission, and 66 with MCI and MDD (MCI + MDD)-completed a clinical assessment, N-back-EEG, and brain MRI. Among them, 190 completed genetic testing, and 121 completed [11C] Pittsburgh Compound B ([11C] PIB) PET imaging. Hierarchical linear regressions were used to assess whether TGC is associated with demographic and clinical variables; Alzheimer's disease-related features (APOE ε4 carrier status and β-amyloid load); and structural features related to working memory. Then, linear regressions were used to assess whether TGC is associated with 2-back performance after accounting for these features. Other than age, TGC was not associated with any non-neurophysiological features. In contrast, TGC (β = 0.27; p = 0.006), age (β = - 0.29; p = 0.012), and parietal cortical thickness (β = 0.24; p = 0.020) were associated with 2-back performance. We also examined two other EEG features that are linked to working memory-theta event-related synchronization and alpha event-related desynchronization-and found them not to be associated with any feature or performance after accounting for TGC. Our findings suggest that TGC is a process that is independent of other clinical, genetic, neurochemical, and structural variables, and supports working memory in older adults at risk for dementia. Supplementary Information The online version contains supplementary material available at 10.1007/s11571-023-09938-y.
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Affiliation(s)
| | - Heather Brooks
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
| | - Mina Mirjalili
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
| | | | - Reza Zomorrodi
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
| | - Daniel M. Blumberger
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Temerty Centre for Therapeutic Brain Intervention, CAMH, Toronto, ON M6J 1H1 Canada
| | - Corinne E. Fischer
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON M5B, 1T8 Canada
| | - Alastair J. Flint
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- University Health Network, Toronto, ON M5G 1L7 Canada
| | - Ariel Graff-Guerrero
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
| | - Nathan Herrmann
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Sunnybrook Health Sciences Centre, ON M4N 3M5 Toronto, Canada
| | - James L. Kennedy
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
| | - Sanjeev Kumar
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Toronto Dementia Research Alliance, University of Toronto, ON M5S 1A1 Toronto, Canada
| | - Krista L. Lanctôt
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Sunnybrook Health Sciences Centre, ON M4N 3M5 Toronto, Canada
| | - Linda Mah
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Rotman Research Institute, Baycrest, Toronto, ON M6A 2E1 Canada
| | - Benoit H. Mulsant
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Temerty Centre for Therapeutic Brain Intervention, CAMH, Toronto, ON M6J 1H1 Canada
| | - Bruce G. Pollock
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Toronto Dementia Research Alliance, University of Toronto, ON M5S 1A1 Toronto, Canada
| | - Aristotle N. Voineskos
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
| | - Wei Wang
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
| | - Tarek K. Rajji
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4 Canada
- Department of Psychiatry, TemertyFaculty of Medicine, University of Toronto, Toronto, ON M5S 1A1 Canada
- Toronto Dementia Research Alliance, University of Toronto, ON M5S 1A1 Toronto, Canada
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3
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Stein RG, Ten Brinke LF, Boa Sorte Silva NC, Hsu CL, Handy TC, Hsiung GYR, Liu-Ambrose T. The Effect of Computerized Cognitive Training, with and without Exercise, on Cortical Volume and Thickness and Its Association with Gait Speed in Older Adults: A Secondary Analysis of a Randomized Controlled Trial. J Alzheimers Dis Rep 2024; 8:817-831. [PMID: 38910947 PMCID: PMC11191637 DOI: 10.3233/adr-230206] [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: 12/31/2023] [Accepted: 04/04/2024] [Indexed: 06/25/2024] Open
Abstract
Background Slower walking is associated with changes in cortical volume and thickness. Computerized cognitive training (CCT) and exercise improve cortical volume and thickness and thus, may promote gait speed. Slowing of gait is predictive of Alzheimer's disease. Objective To examine: 1) the effect of CCT, with or without physical exercise, on cortical volume and thickness and; 2) the association of changes in cortical volume and thickness with changes in gait speed. Methods A subset of 124 adults (n = 53), aged 65-85 years, enrolled in an 8-week randomized controlled trial and completed T1-weighted MRI and 4-meter walk at baseline and 8 weeks. Participants were randomized to: 1) active control (BAT; n = 19); 2) CCT (n = 17); or 3) CCT preceded by exercise (Ex-CCT; n = 17). Change in cortical volume and thickness were assessed and compared across all groups using Freesurfer. RESULTS BAT versus CCT increased left rostral middle frontal gyrus volume (p = 0.027) and superior temporal gyrus thickness (p = 0.039). Ex-CCT versus CCT increased left cuneus thickness (p < 0.001) and right post central gyrus thickness (p = 0.005), and volume (p < 0.001). Ex-CCT versus BAT increased left (p = 0.001) and right (p = 0.020) superior parietal gyri thickness. There were no significant between-group differences in gait speed (p > 0.175). Increased left superior parietal volume (p = 0.036, r = 0.340) and thickness (p = 0.002, r = 0.348), right post central volume (p = .017, r = 0.341) and thickness (p = 0.001, r = 0.348), left banks of superior temporal sulcus thickness (p = 0.002, r = 0.356), and left precuneus thickness (p < 0.001, r = 0.346) were associated with increased gait speed. CONCLUSIONS CCT with physical exercise, but not CCT alone, improves cortical volume and thickness in older adults. These changes may contribute to the maintenance of gait speed in aging.
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Affiliation(s)
- Ryan G. Stein
- Aging, Mobility, and Cognitive Health Laboratory, University of British Columbia, Vancouver, BC, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lisanne F. Ten Brinke
- Aging, Mobility, and Cognitive Health Laboratory, University of British Columbia, Vancouver, BC, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Nárlon C. Boa Sorte Silva
- Aging, Mobility, and Cognitive Health Laboratory, University of British Columbia, Vancouver, BC, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Chun Liang Hsu
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong
| | - Todd C. Handy
- Department of Psychology, Faculty of Art, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ging-Yuek R. Hsiung
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Division of Neurology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- Vancouver Coastal Health Research Institute and University of British Columbia Hospital Clinic for Alzheimer Disease and Related Disorders, Vancouver, BC, Canada
| | - Teresa Liu-Ambrose
- Aging, Mobility, and Cognitive Health Laboratory, University of British Columbia, Vancouver, BC, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
- Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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4
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James C, Müller D, Müller C, Van De Looij Y, Altenmüller E, Kliegel M, Van De Ville D, Marie D. Randomized controlled trials of non-pharmacological interventions for healthy seniors: Effects on cognitive decline, brain plasticity and activities of daily living-A 23-year scoping review. Heliyon 2024; 10:e26674. [PMID: 38707392 PMCID: PMC11066598 DOI: 10.1016/j.heliyon.2024.e26674] [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: 10/19/2022] [Revised: 01/28/2024] [Accepted: 02/16/2024] [Indexed: 05/07/2024] Open
Abstract
Little is known about the simultaneous effects of non-pharmacological interventions (NPI) on healthy older adults' behavior and brain plasticity, as measured by psychometric instruments and magnetic resonance imaging (MRI). The purpose of this scoping review was to compile an extensive list of randomized controlled trials published from January 1, 2000, to August 31, 2023, of NPI for mitigating and countervailing age-related physical and cognitive decline and associated cerebral degeneration in healthy elderly populations with a mean age of 55 and over. After inventorying the NPI that met our criteria, we divided them into six classes: single-domain cognitive, multi-domain cognitive, physical aerobic, physical non-aerobic, combined cognitive and physical aerobic, and combined cognitive and physical non-aerobic. The ultimate purpose of these NPI was to enhance individual autonomy and well-being by bolstering functional capacity that might transfer to activities of daily living. The insights from this study can be a starting point for new research and inform social, public health, and economic policies. The PRISMA extension for scoping reviews (PRISMA-ScR) checklist served as the framework for this scoping review, which includes 70 studies. Results indicate that medium- and long-term interventions combining non-aerobic physical exercise and multi-domain cognitive interventions best stimulate neuroplasticity and protect against age-related decline and that outcomes may transfer to activities of daily living.
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Affiliation(s)
- C.E. James
- Geneva Musical Minds Lab (GEMMI Lab), Geneva School of Health Sciences, University of Applied Sciences and Arts Western Switzerland HES-SO, Avenue de Champel 47, 1206, Geneva, Switzerland
- Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard Carl-Vogt 101, 1205, Geneva, Switzerland
| | - D.M. Müller
- Geneva Musical Minds Lab (GEMMI Lab), Geneva School of Health Sciences, University of Applied Sciences and Arts Western Switzerland HES-SO, Avenue de Champel 47, 1206, Geneva, Switzerland
| | - C.A.H. Müller
- Geneva Musical Minds Lab (GEMMI Lab), Geneva School of Health Sciences, University of Applied Sciences and Arts Western Switzerland HES-SO, Avenue de Champel 47, 1206, Geneva, Switzerland
| | - Y. Van De Looij
- Geneva Musical Minds Lab (GEMMI Lab), Geneva School of Health Sciences, University of Applied Sciences and Arts Western Switzerland HES-SO, Avenue de Champel 47, 1206, Geneva, Switzerland
- Division of Child Development and Growth, Department of Pediatrics, School of Medicine, University of Geneva, 6 Rue Willy Donzé, 1205 Geneva, Switzerland
- Center for Biomedical Imaging (CIBM), Animal Imaging and Technology Section, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH F1 - Station 6, 1015, Lausanne, Switzerland
| | - E. Altenmüller
- Hannover University of Music, Drama and Media, Institute for Music Physiology and Musicians' Medicine, Neues Haus 1, 30175, Hannover, Germany
- Center for Systems Neuroscience, Bünteweg 2, 30559, Hannover, Germany
| | - M. Kliegel
- Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard Carl-Vogt 101, 1205, Geneva, Switzerland
- Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Switzerland, Chemin de Pinchat 22, 1207, Carouge, Switzerland
| | - D. Van De Ville
- Ecole polytechnique fédérale de Lausanne (EPFL), Neuro-X Institute, Campus Biotech, 1211 Geneva, Switzerland
- University of Geneva, Department of Radiology and Medical Informatics, Faculty of Medecine, Campus Biotech, 1211 Geneva, Switzerland
| | - D. Marie
- Geneva Musical Minds Lab (GEMMI Lab), Geneva School of Health Sciences, University of Applied Sciences and Arts Western Switzerland HES-SO, Avenue de Champel 47, 1206, Geneva, Switzerland
- CIBM Center for Biomedical Imaging, Cognitive and Affective Neuroimaging Section, University of Geneva, 1211, Geneva, Switzerland
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5
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Phan TX, Baratono S, Drew W, Tetreault AM, Fox MD, Darby RR. Increased Cortical Thickness in Alzheimer's Disease. Ann Neurol 2024; 95:929-940. [PMID: 38400760 PMCID: PMC11060923 DOI: 10.1002/ana.26894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 01/31/2024] [Accepted: 02/03/2024] [Indexed: 02/26/2024]
Abstract
OBJECTIVE Patients with Alzheimer's disease (AD) have diffuse brain atrophy, but some regions, such as the anterior cingulate cortex (ACC), are spared and may even show increase in size compared to controls. The extent, clinical significance, and mechanisms associated with increased cortical thickness in AD remain unknown. Recent work suggested neural facilitation of regions anticorrelated to atrophied regions in frontotemporal dementia. Here, we aim to determine whether increased thickness occurs in sporadic AD, whether it relates to clinical symptoms, and whether it occur in brain regions functionally connected to-but anticorrelated with-locations of atrophy. METHODS Cross-sectional clinical, neuropsychological, and neuroimaging data from the Alzheimer's Disease Neuroimaging Initiative were analyzed to investigate cortical thickness in AD subjects versus controls. Atrophy network mapping was used to identify brain regions functionally connected to locations of increased thickness and atrophy. RESULTS AD patients showed increased thickness in the ACC in a region-of-interest analysis and the visual cortex in an exploratory analysis. Increased thickness in the left ACC was associated with preserved cognitive function, while increased thickness in the left visual cortex was associated with hallucinations. Finally, we found that locations of increased thickness were functionally connected to, but anticorrelated with, locations of brain atrophy (r = -0.81, p < 0.05). INTERPRETATION Our results suggest that increased cortical thickness in Alzheimer's disease is relevant to AD symptoms and preferentially occur in brain regions functionally connected to, but anticorrelated with, areas of brain atrophy. Implications for models of compensatory neuroplasticity in response to neurodegeneration are discussed. ANN NEUROL 2024;95:929-940.
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Affiliation(s)
- Tony X. Phan
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
| | - Sheena Baratono
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - William Drew
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Aaron M. Tetreault
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
| | - Michael D. Fox
- Center for Brain Circuit Therapeutics, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - R. Ryan Darby
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN
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Clemente-Suárez VJ, Redondo-Flórez L, Beltrán-Velasco AI, Belinchón-deMiguel P, Ramos-Campo DJ, Curiel-Regueros A, Martín-Rodríguez A, Tornero-Aguilera JF. The Interplay of Sports and Nutrition in Neurological Health and Recovery. J Clin Med 2024; 13:2065. [PMID: 38610829 PMCID: PMC11012304 DOI: 10.3390/jcm13072065] [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: 02/18/2024] [Revised: 03/27/2024] [Accepted: 04/01/2024] [Indexed: 04/14/2024] Open
Abstract
This comprehensive review explores the dynamic relationship between sports, nutrition, and neurological health. Focusing on recent clinical advancements, it examines how physical activity and dietary practices influence the prevention, treatment, and rehabilitation of various neurological conditions. The review highlights the role of neuroimaging in understanding these interactions, discusses emerging technologies in neurotherapeutic interventions, and evaluates the efficacy of sports and nutritional strategies in enhancing neurological recovery. This synthesis of current knowledge aims to provide a deeper understanding of how lifestyle factors can be integrated into clinical practices to improve neurological outcomes.
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Affiliation(s)
- Vicente Javier Clemente-Suárez
- Faculty of Sports Sciences, Universidad Europea de Madrid, Tajo Street, s/n, 28670 Madrid, Spain; (V.J.C.-S.); (A.C.-R.); (J.F.T.-A.)
- Grupo de Investigación en Cultura, Educación y Sociedad, Universidad de la Costa, Barranquilla 080002, Colombia
| | - Laura Redondo-Flórez
- Department of Health Sciences, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, C/Tajo s/n, Villaviciosa de Odón, 28670 Madrid, Spain;
| | | | - Pedro Belinchón-deMiguel
- Department of Nursing and Nutrition, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain;
| | - Domingo Jesús Ramos-Campo
- LFE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Science-INEF, Universidad Politécnica de Madrid, 28040 Madrid, Spain;
| | - Agustín Curiel-Regueros
- Faculty of Sports Sciences, Universidad Europea de Madrid, Tajo Street, s/n, 28670 Madrid, Spain; (V.J.C.-S.); (A.C.-R.); (J.F.T.-A.)
| | - Alexandra Martín-Rodríguez
- Faculty of Sports Sciences, Universidad Europea de Madrid, Tajo Street, s/n, 28670 Madrid, Spain; (V.J.C.-S.); (A.C.-R.); (J.F.T.-A.)
| | - José Francisco Tornero-Aguilera
- Faculty of Sports Sciences, Universidad Europea de Madrid, Tajo Street, s/n, 28670 Madrid, Spain; (V.J.C.-S.); (A.C.-R.); (J.F.T.-A.)
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7
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Hastings WL, Willbrand EH, Elliott MV, Johnson SL, Weiner KS. Emotion-related impulsivity is related to orbitofrontal cortical sulcation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.14.574481. [PMID: 38293163 PMCID: PMC10827079 DOI: 10.1101/2024.01.14.574481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Background Emotion-related impulsivity (ERI) describes the trait-like tendency toward poor self-control when experiencing strong emotions. ERI has been shown to be elevated across psychiatric disorders and predictive of the onset and worsening of psychiatric syndromes. Recent work has correlated ERI scores with the neuroanatomy of the orbitofrontal cortex (OFC). Informed by a growing body of research indicating that the morphology of cortical folds (sulci) can produce insights into behavioral outcomes, the present study modeled the association between ERI and the sulcal morphology of OFC at a finer scale than previously conducted. Methods Analyses were conducted in a transdiagnostic sample of 118 individuals with a broad range of psychiatric syndromes. We first manually defined over 2000 sulci across the 118 participants. We then implemented a model-based LASSO regression to relate OFC sulcal morphology to ERI and test whether effects were specific to ERI as compared to non-emotion-related impulsivity. Results The LASSO regression revealed bilateral associations of ERI with the depth of eight OFC sulci. These effects were specific to ERI and were not observed in non-emotion-related impulsivity. In addition, we identified a new transverse component of the olfactory sulcus in every hemisphere that is dissociable from the longitudinal component based on anatomical features and correlation with behavior, which could serve as a new transdiagnostic biomarker. Conclusions The results of this data-driven investigation provide greater neuroanatomical and neurodevelopmental specificity on how OFC is related to ERI. As such, findings link neuroanatomical characteristics to a trait that is highly predictive of psychopathology.
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Affiliation(s)
- William L. Hastings
- Department of Psychology, University of California, Berkeley, Berkeley, CA, US
| | - Ethan H. Willbrand
- Medical Scientist Training Program, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI USA
| | - Matthew V. Elliott
- Department of Psychology, University of California, Berkeley, Berkeley, CA, US
| | - Sheri L. Johnson
- Department of Psychology, University of California, Berkeley, Berkeley, CA, US
| | - Kevin S. Weiner
- Department of Psychology, University of California, Berkeley, Berkeley, CA, US
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA
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8
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Rothmann LM, Tondo LP, Borelli WV, Esper NB, Portolan ET, Franco AR, Portuguez MW, Ferreira PE, Bittencourt AML, Soder RB, Viola TW, da Costa JC, Grassi-Oliveira R. The cortical thickness of tricenarian cocaine users assembles features of an octogenarian brain. J Neurosci Res 2024; 102:e25287. [PMID: 38284862 DOI: 10.1002/jnr.25287] [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: 08/17/2023] [Revised: 11/29/2023] [Accepted: 12/09/2023] [Indexed: 01/30/2024]
Abstract
It has been suggested that substance use disorders could lead to accelerated biological aging, but only a few neuroimaging studies have investigated this hypothesis so far. In this cross-sectional study, structural neuroimaging was performed to measure cortical thickness (CT) in tricenarian adults with cocaine use disorder (CUD, n1 = 30) and their age-paired controls (YC, n1 = 30), and compare it with octogenarian elder controls (EC, n1 = 20). We found that CT in the right fusiform gyrus was similar between CUD and EC, thinner than the expected values of YC. We also found that regarding CT of the right inferior temporal gyrus, right inferior parietal cortex, and left superior parietal cortex, the CUD group exhibited parameters that fell in between EC and YC groups. Finally, CT of the right pars triangularis bordering with orbitofrontal gyrus, right superior temporal gyrus, and right precentral gyrus were reduced in CUD when contrasted with YC, but those areas were unrelated to CT of EC. Despite the 50-year age gap between our age groups, CT of tricenarian cocaine users assembles features of an octogenarian brain, reinforcing the accelerated aging hypothesis in CUD.
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Affiliation(s)
- Leonardo Melo Rothmann
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Graduate School of Health, Aarhus University, Aarhus, Denmark
- Brain Institute (BraIns), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- Graduate Program in Medicine and Health Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Lucca Pizzato Tondo
- Brain Institute (BraIns), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | | | | | - Eduardo Tavares Portolan
- Brain Institute (BraIns), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- School of Medicine, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Alexandre Rosa Franco
- Center for the Developing Brain, Child Mind Institute, New York, New York, USA
- Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York, USA
- Department of Psychiatric, Grossman School of Medicine, New York University, New York, New York, USA
| | - Mirna Wetters Portuguez
- Brain Institute (BraIns), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- Graduate Program in Medicine and Health Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- School of Medicine, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Pedro Eugênio Ferreira
- Brain Institute (BraIns), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | | | - Ricardo Bernardi Soder
- Brain Institute (BraIns), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- School of Medicine, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Thiago Wendt Viola
- Brain Institute (BraIns), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- Graduate Program in Medicine and Health Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- School of Medicine, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Jaderson Costa da Costa
- Brain Institute (BraIns), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- Graduate Program in Medicine and Health Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- School of Medicine, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Rodrigo Grassi-Oliveira
- Translational Neuropsychiatry Unit, Department of Clinical Medicine, Graduate School of Health, Aarhus University, Aarhus, Denmark
- Brain Institute (BraIns), Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- Graduate Program in Medicine and Health Sciences, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
- School of Medicine, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
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9
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Fotuhi M, Khorrami ND, Raji CA. Benefits of a 12-Week Non-Drug "Brain Fitness Program" for Patients with Attention-Deficit/Hyperactive Disorder, Post-Concussion Syndrome, or Memory Loss. J Alzheimers Dis Rep 2023; 7:675-697. [PMID: 37483322 PMCID: PMC10357116 DOI: 10.3233/adr-220091] [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: 11/14/2022] [Accepted: 05/25/2023] [Indexed: 07/25/2023] Open
Abstract
Background Non-pharmacologic interventions can potentially improve cognitive function, sleep, and/or mood in patients with attention-deficit/hyperactive disorder (ADHD), post-concussion syndrome (PCS), or memory loss. Objective We evaluated the benefits of a brain rehabilitation program in an outpatient neurology practice that consists of targeted cognitive training, lifestyle coaching, and electroencephalography (EEG)-based neurofeedback, twice weekly (90 minutes each), for 12 weeks. Methods 223 child and adult patients were included: 71 patients with ADHD, 88 with PCS, and 64 with memory loss (mild cognitive impairment or subjective cognitive decline). Patients underwent a complete neurocognitive evaluation, including tests for Verbal Memory, Complex Attention, Processing Speed, Executive Functioning, and Neurocognition Index. They completed questionnaires about sleep, mood, diet, exercise, anxiety levels, and depression-as well as underwent quantitative EEG-at the beginning and the end of the program. Results Pre-post test score comparison demonstrated that all patient subgroups experienced statistically significant improvements on most measures, especially the PCS subgroup, which experienced significant score improvement on all measures tested (p≤0.0011; dz≥0.36). After completing the program, 60% to 90% of patients scored higher on cognitive tests and reported having fewer cognitive and emotional symptoms. The largest effect size for pre-post score change was improved executive functioning in all subgroups (ADHD dz= 0.86; PCS dz= 0.83; memory dz= 1.09). Conclusion This study demonstrates that a multimodal brain rehabilitation program can have benefits for patients with ADHD, PCS, or memory loss and supports further clinical trials in this field.
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Affiliation(s)
- Majid Fotuhi
- Department of Psychological & Brain Sciences, George Washington University, Washington, DC, USA
- NeuroGrow Brain Fitness Center, McLean, VA, USA
| | | | - Cyrus A. Raji
- Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, USA
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
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10
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Smid CR, Ganesan K, Thompson A, Cañigueral R, Veselic S, Royer J, Kool W, Hauser TU, Bernhardt B, Steinbeis N. Neurocognitive basis of model-based decision making and its metacontrol in childhood. Dev Cogn Neurosci 2023; 62:101269. [PMID: 37352654 PMCID: PMC10329104 DOI: 10.1016/j.dcn.2023.101269] [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: 09/02/2022] [Revised: 04/16/2023] [Accepted: 06/14/2023] [Indexed: 06/25/2023] Open
Abstract
Human behavior is supported by both goal-directed (model-based) and habitual (model-free) decision-making, each differing in its flexibility, accuracy, and computational cost. The arbitration between habitual and goal-directed systems is thought to be regulated by a process known as metacontrol. However, how these systems emerge and develop remains poorly understood. Recently, we found that while children between 5 and 11 years displayed robust signatures of model-based decision-making, which increased during this developmental period, there were substantial individual differences in the display of metacontrol. Here, we inspect the neurocognitive basis of model-based decision-making and metacontrol in childhood and focus this investigation on executive functions, fluid reasoning, and brain structure. A total of 69 participants between the ages of 6-13 completed a two-step decision-making task and an extensive behavioral test battery. A subset of 44 participants also completed a structural magnetic resonance imaging scan. We find that individual differences in metacontrol are specifically associated with performance on an inhibition task and individual differences in thickness of dorsolateral prefrontal, temporal, and superior-parietal cortices. These brain regions likely reflect the involvement of cognitive processes crucial to metacontrol, such as cognitive control and contextual processing.
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Affiliation(s)
- C R Smid
- Department of Psychology and Language Sciences, University College London, United Kingdom.
| | - K Ganesan
- Department of Psychology and Language Sciences, University College London, United Kingdom
| | - A Thompson
- Department of Psychology and Language Sciences, University College London, United Kingdom
| | - R Cañigueral
- Department of Psychology and Language Sciences, University College London, United Kingdom
| | - S Veselic
- Clinical and Movement Neurosciences, Department of Motor Neuroscience, University College London, United Kingdom; Wellcome Centre for Human Neuroimaging, University College London, United Kingdom
| | - J Royer
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - W Kool
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, United States
| | - T U Hauser
- Wellcome Centre for Human Neuroimaging, University College London, United Kingdom; Max Planck University College London Centre for Computational Psychiatry and Ageing Research, United Kingdom
| | - B Bernhardt
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
| | - N Steinbeis
- Department of Psychology and Language Sciences, University College London, United Kingdom
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11
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Elliott MV, Esmail SAS, Weiner KS, Johnson SL. Neuroanatomical Correlates of Emotion-Related Impulsivity. Biol Psychiatry 2023; 93:566-574. [PMID: 36244800 PMCID: PMC9898470 DOI: 10.1016/j.biopsych.2022.07.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 07/15/2022] [Accepted: 07/19/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Emotion-related impulsivity (ERI) refers to chronically poor self-control during periods of strong emotion. ERI robustly predicts psychiatric disorders and related problems, yet its neuroanatomical correlates are largely unknown. We tested whether local brain morphometry in targeted brain regions that integrate emotion and control could explain ERI severity. METHODS One hundred twenty-two adults (ages 18-55 years) with internalizing or externalizing psychopathology completed a structural magnetic resonance imaging (MRI) scan, the Three-Factor Impulsivity Index, and the Structured Clinical Interview for DSM-5. The Three-Factor Impulsivity Index measures two types of ERI and a third type of impulsivity not linked to emotion. Cortical reconstruction yielded cortical thickness and local gyrification measurements. We evaluated whether morphometry in the orbitofrontal cortex (OFC), insula, amygdala, and nucleus accumbens was associated with ERI severity. Hypotheses and analyses were preregistered. RESULTS Lower cortical gyrification in the right lateral OFC was associated with high ERI severity in a full, preregistered model. Separate examinations of local gyrification and cortical thickness also showed a positive association between gyrification in the left lateral OFC and ERI. An integrated measure of hemispheric imbalance in lateral OFC gyrification (right < left) correlated with ERI severity. These findings were specific to ERI and did not appear with non-emotion-related impulsivity. CONCLUSIONS Local gyrification in the lateral OFC is associated with ERI severity. The current findings fit with existing theories of OFC function, strengthen the connections between the transdiagnostic literature in psychiatry and neuroscience, and may guide future treatment development.
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Affiliation(s)
- Matthew V Elliott
- Department of Psychology, University of California at Berkeley, Berkeley, California.
| | - Serajh A S Esmail
- Department of Psychology, University of California at Berkeley, Berkeley, California
| | - Kevin S Weiner
- Department of Psychology, University of California at Berkeley, Berkeley, California; Helen Wills Neuroscience Institute, University of California at Berkeley, Berkeley, California
| | - Sheri L Johnson
- Department of Psychology, University of California at Berkeley, Berkeley, California
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12
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Neuschwander P, Schmitt R, Jagoda L, Kurthen I, Giroud N, Meyer M. Different neuroanatomical correlates for temporal and spectral supra-threshold auditory tasks and speech in noise recognition in older adults with hearing impairment. Eur J Neurosci 2023; 57:981-1002. [PMID: 36683390 DOI: 10.1111/ejn.15922] [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: 04/10/2021] [Revised: 08/20/2022] [Accepted: 01/06/2023] [Indexed: 01/24/2023]
Abstract
Varying degrees of pure-tone hearing loss in older adults are differentially associated with cortical volume (CV) and thickness (CT) within and outside of the auditory pathway. This study addressed the question to what degree supra-threshold auditory performance (i.e., temporal compression and frequency selectivity) as well as speech in noise (SiN) recognition are associated with neurostructural correlates in a sample of 59 healthy older adults with mild to moderate pure-tone hearing loss. Using surface-based morphometry on T1-weighted MRI images, CT, CV, and surface area (CSA) of several regions-of-interest were obtained. The results showed distinct neurostructural patterns for the different tasks in terms of involved regions as well as morphometric parameters. While pure-tone averages (PTAs) positively correlated with CT in a right hemisphere superior temporal sulcus and gyrus cluster, supra-threshold auditory perception additionally extended significantly to CV and CT in left and right superior temporal clusters including Heschl's gyrus and sulcus, the planum polare and temporale. For SiN recognition, we found significant correlations with an auditory-related CT cluster and furthermore with language-related areas in the prefrontal cortex. Taken together, our results show that different auditory abilities are differently associated with cortical morphology in older adults with hearing impairment. Still, a common pattern is that greater PTAs and poorer supra-threshold auditory performance as well as poorer SiN recognition are all related to cortical thinning and volume loss but not to changes in CSA. These results support the hypothesis that mostly CT undergoes alterations in the context of auditory decline, while CSA remains stable.
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Affiliation(s)
- Pia Neuschwander
- Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Raffael Schmitt
- Neuroscience of Speech & Hearing, Department of Computational Linguistics, University of Zurich, Zurich, Switzerland
| | - Laura Jagoda
- Division of Neuropsychology, Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Ira Kurthen
- Developmental Psychology: Infancy and Childhood, Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Nathalie Giroud
- Neuroscience of Speech & Hearing, Department of Computational Linguistics, University of Zurich, Zurich, Switzerland
| | - Martin Meyer
- Evolutionary Neuroscience of Language, Department of Comparative Language Science, University of Zurich, Zurich, Switzerland.,Center for the Interdisciplinary Study of Language Evolution (ISLE), University of Zurich, Zurich, Switzerland.,Cognitive Psychology Unit, Alpen-Adria University of Klagenfurt, Klagenfurt, Austria
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13
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Watanabe K, Kokubun K, Yamakawa Y. Altered Grey Matter-Brain Healthcare Quotient: Interventions of Olfactory Training and Learning of Neuroplasticity. Life (Basel) 2023; 13:life13030667. [PMID: 36983823 PMCID: PMC10052964 DOI: 10.3390/life13030667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/09/2023] [Accepted: 02/24/2023] [Indexed: 03/05/2023] Open
Abstract
Recent studies revealed that grey matter (GM) changes due to various training and learning experiences, using magnetic resonance imaging. In this study, we investigate the effect of psychological characteristics and attitudes toward training and learning on GM changes. Ninety participants were recruited and distributed into three groups: an olfactory training group that underwent 40 olfactory training sessions designed for odour classification tasks, a group classified for learning of neuroplasticity and brain healthcare using a TED Talk video and 28 daily brain healthcare messages, and a control group. Further, we assessed psychological characteristics, such as curiosity and personal growth initiatives. In the olfactory training group, we conducted a questionnaire survey on olfactory training regarding their interests and sense of accomplishment. In the olfactory training group, the GM change was significantly correlated with the sense of achievement and interest in training. The learning of neuroplasticity and brain healthcare group showed a significantly smaller 2-month GM decline than did the control group. The Curiosity and Exploration Inventory-II scores were significantly correlated with GM changes in both intervention groups only. In conclusion, our result suggested that training or learning with a sense of accomplishment, interest, and curiosity would lead to greater GM changes.
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Affiliation(s)
- Keita Watanabe
- Institution of Open Innovation, Kyoto University, Kyoto 606-8501, Japan
- Correspondence:
| | - Keisuke Kokubun
- Smart-Aging Research Center, Tohoku University, Sendai 980-8575, Japan
| | - Yoshinori Yamakawa
- Institution of Open Innovation, Kyoto University, Kyoto 606-8501, Japan
- Institute of Innovative Research, Tokyo Institute of Technology, Tokyo 152-8550, Japan
- Academic and Industrial Innovation, Kobe University, Kobe 657-8501, Japan
- ImPACT Program of Council for Science, Technology, and Innovation (Cabinet Office, Government of Japan), Tokyo 100-8914, Japan
- BRAIN IMPACT General Incorporated Association, Kyoto 606-8501, Japan
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14
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Steen I, Münchow M, Jensen S, Kjaer TW, Waehrens SS, Bredie WLP. Evaluation of a sensory and cognitive online training tool for odor recognition in professional coffee tasters. J SENS STUD 2023. [DOI: 10.1111/joss.12819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Affiliation(s)
- Ida Steen
- Section for Food Design and Consumer Behaviour, Department of Food Science University of Copenhagen Copenhagen Denmark
- CoffeeMind Academy, CoffeeMind Aps Copenhagen Denmark
| | - Morten Münchow
- Section for Food Design and Consumer Behaviour, Department of Food Science University of Copenhagen Copenhagen Denmark
- CoffeeMind Academy, CoffeeMind Aps Copenhagen Denmark
| | | | - Troels W. Kjaer
- Department of Clinical Medicine University of Copenhagen Copenhagen Denmark
| | - Sandra S. Waehrens
- Section for Food Design and Consumer Behaviour, Department of Food Science University of Copenhagen Copenhagen Denmark
| | - Wender L. P. Bredie
- Section for Food Design and Consumer Behaviour, Department of Food Science University of Copenhagen Copenhagen Denmark
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15
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Decoupling of mRNA and Protein Expression in Aging Brains Reveals the Age-Dependent Adaptation of Specific Gene Subsets. Cells 2023; 12:cells12040615. [PMID: 36831282 PMCID: PMC9954025 DOI: 10.3390/cells12040615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 02/07/2023] [Accepted: 02/12/2023] [Indexed: 02/17/2023] Open
Abstract
During aging, changes in gene expression are associated with a decline in physical and cognitive abilities. Here, we investigate the connection between changes in mRNA and protein expression in the brain by comparing the transcriptome and proteome of the mouse cortex during aging. Our transcriptomic analysis revealed that aging mainly triggers gene activation in the cortex. We showed that an increase in mRNA expression correlates with protein expression, specifically in the anterior cingulate cortex, where we also observed an increase in cortical thickness during aging. Genes exhibiting an aging-dependent increase of mRNA and protein levels are involved in sensory perception and immune functions. Our proteomic analysis also identified changes in protein abundance in the aging cortex and highlighted a subset of proteins that were differentially enriched but exhibited stable mRNA levels during aging, implying the contribution of aging-related post- transcriptional and post-translational mechanisms. These specific genes were associated with general biological processes such as translation, ribosome assembly and protein degradation, and also important brain functions related to neuroplasticity. By decoupling mRNA and protein expression, we have thus characterized distinct subsets of genes that differentially adjust to cellular aging in the cerebral cortex.
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16
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Dai X, Wu L, Han Z, Li H. Cognitive Training Effect and Imaging Evidence. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1419:171-183. [PMID: 37418214 DOI: 10.1007/978-981-99-1627-6_13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
Cognitive intervention is a specific form of non-pharmacological intervention used to combat cognitive dysfunction. In this chapter, behavioral and neuroimaging studies about cognitive interventions are introduced. Regarding intervention studies, the form of intervention and the effects of the interventions have been systematically sorted out. In addition, we compared the effects of different intervention approaches, which help people with different cognitive states to choose appropriate intervention programs. With the development of imaging technology, many studies have discussed the neural mechanism of cognitive intervention training and the effects of cognitive intervention from the perspective of neuroplasticity. Behavioral studies and neural mechanism studies are used to improve the understanding of cognitive interventions for the treatment of cognitive impairment.
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Affiliation(s)
- Xiangwei Dai
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
- Beijing Aging Brain Rejuvenation Initiative (BABRI) Centre, Beijing Normal University, Beijing, China
| | - Lingli Wu
- Beijing Aging Brain Rejuvenation Initiative (BABRI) Centre, Beijing Normal University, Beijing, China
- State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Zaizhu Han
- State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, Beijing, China
| | - He Li
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
- Beijing Aging Brain Rejuvenation Initiative (BABRI) Centre, Beijing Normal University, Beijing, China
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17
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Devanand DP, Goldberg TE, Qian M, Rushia SN, Sneed JR, Andrews HF, Nino I, Phillips J, Pence ST, Linares AR, Hellegers CA, Michael AM, Kerner NA, Petrella JR, Doraiswamy PM. Computerized Games versus Crosswords Training in Mild Cognitive Impairment. NEJM EVIDENCE 2022; 1:10.1056/evidoa2200121. [PMID: 37635843 PMCID: PMC10457124 DOI: 10.1056/evidoa2200121] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/29/2023]
Abstract
BACKGROUND Mild cognitive impairment (MCI) increases the risk of dementia. The efficacy of cognitive training in patients with MCI is unclear. METHODS In a two-site, single-blinded, 78-week trial, participants with MCI - stratified by age, severity (early/late MCI), and site - were randomly assigned to 12 weeks of intensive, home-based, computerized training with Web-based cognitive games or Web-based crossword puzzles, followed by six booster sessions. In mixed-model analyses, the primary outcome was change from baseline in the 11-item Alzheimer's Disease Assessment Scale-Cognitive (ADAS-Cog) score, a 70 point scale in which higher scores indicate greater cognitive impairment at 78 weeks, adjusted for baseline. Secondary outcomes included change from baseline in neuropsychological composite score, University of California San Diego Performance-Based Skills Assessment (functional outcome) score, and Functional Activities Questionnaire (functional outcome) score at 78 weeks, adjusted for baseline. Changes in hippocampal volume and cortical thickness on magnetic resonance imaging were assessed. RESULTS Among 107 participants (n=51 [games]; n=56 [crosswords]), ADAS-Cog score worsened slightly for games and improved for crosswords at week 78 (least squares [LS] means difference, -1.44; 95% confidence interval [CI], -2.83 to -0.06; P=0.04). From baseline to week 78, mean ADAS-Cog score worsened for games (9.53 to 9.93) and improved for crosswords (9.59 to 8.61). The late MCI subgroup showed similar results (LS means difference, -2.45; SE, 0.89; 95% CI, -4.21 to -0.70). Among secondary outcomes, the Functional Activities Questionnaire score worsened more with games than with crosswords at week 78 (LS means difference, -1.08; 95% CI, -1.97 to -0.18). Other secondary outcomes showed no differences. Decreases in hippocampal volume and cortical thickness were greater for games than for crosswords (LS means difference, 34.07; SE, 17.12; 95% CI, 0.51 to 67.63 [hippocampal volume]; LS means difference, 0.02; SE, 0.01; 95% CI, 0.00 to 0.04 [cortical thickness]). CONCLUSIONS Home-based computerized training with crosswords demonstrated superior efficacy to games for the primary outcome of baseline-adjusted change in ADAS-Cog score over 78 weeks. (Supported by the National Institutes of Health, National Institute on Aging; ClinicalTrials.gov number, NCT03205709.).
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Affiliation(s)
- D P Devanand
- Division of Geriatric Psychiatry, New York State Psychiatric Institute, New York
- Department of Psychiatry, Columbia University Medical Center, New York
| | - Terry E Goldberg
- Division of Geriatric Psychiatry, New York State Psychiatric Institute, New York
- Department of Psychiatry, Columbia University Medical Center, New York
- Department of Anesthesiology, Columbia University Medical Center, New York
| | - Min Qian
- Department of Biostatistics, Mailman School of Public Health, Columbia University Medical Center, New York
| | - Sara N Rushia
- The Graduate Center, City University of New York, New York
- Queens College, City University of New York, Flushing, NY
| | - Joel R Sneed
- Division of Geriatric Psychiatry, New York State Psychiatric Institute, New York
- Department of Psychiatry, Columbia University Medical Center, New York
- Department of Anesthesiology, Columbia University Medical Center, New York
- The Graduate Center, City University of New York, New York
| | - Howard F Andrews
- Department of Psychiatry, Columbia University Medical Center, New York
| | - Izael Nino
- Division of Geriatric Psychiatry, New York State Psychiatric Institute, New York
- Department of Psychiatry, Columbia University Medical Center, New York
| | - Julia Phillips
- Division of Geriatric Psychiatry, New York State Psychiatric Institute, New York
- Department of Psychiatry, Columbia University Medical Center, New York
| | - Sierra T Pence
- Neurocognitive Disorders Program, Department of Psychiatry, Duke University School of Medicine, Durham, NC
| | - Alexandra R Linares
- Neurocognitive Disorders Program, Department of Psychiatry, Duke University School of Medicine, Durham, NC
| | - Caroline A Hellegers
- Neurocognitive Disorders Program, Department of Psychiatry, Duke University School of Medicine, Durham, NC
| | | | - Nancy A Kerner
- Division of Geriatric Psychiatry, New York State Psychiatric Institute, New York
- Department of Psychiatry, Columbia University Medical Center, New York
| | | | - P Murali Doraiswamy
- Neurocognitive Disorders Program, Department of Psychiatry, Duke University School of Medicine, Durham, NC
- Duke Institute for Brain Sciences, Duke University, Durham, NC
- Center for the Study of Aging and Human Development and the Division of Geriatrics, Duke University School of Medicine, Durham, NC
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18
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Yoo HJ, Nashiro K, Min J, Cho C, Bachman SL, Nasseri P, Porat S, Dutt S, Grigoryan V, Choi P, Thayer JF, Lehrer PM, Chang C, Mather M. Heart rate variability (HRV) changes and cortical volume changes in a randomized trial of five weeks of daily HRV biofeedback in younger and older adults. Int J Psychophysiol 2022; 181:50-63. [PMID: 36030986 PMCID: PMC11195601 DOI: 10.1016/j.ijpsycho.2022.08.006] [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: 02/24/2022] [Revised: 07/02/2022] [Accepted: 08/19/2022] [Indexed: 11/15/2022]
Abstract
Previous studies indicate that the structure and function of medial prefrontal cortex (PFC) and lateral orbitofrontal cortex (OFC) are associated with heart rate variability (HRV). Typically, this association is assumed to reflect the PFC's role in controlling HRV and emotion regulation, with better prefrontal structural integrity supporting greater HRV and better emotion regulation. However, as a control system, the PFC must monitor and respond to heart rate oscillatory activity. Thus, engaging in regulatory feedback during heart rate oscillatory activity may over time help shape PFC structure, as relevant circuits and connections are modified. In the current study with younger and older adults, we tested whether 5 weeks of daily sessions of biofeedback to increase heart rate oscillations (Osc+ condition) vs. to decrease heart rate oscillations (Osc- condition) affected cortical volume in left OFC and right OFC, two regions particularly associated with HRV in prior studies. The left OFC showed significant differences in volume change across conditions, with Osc+ increasing volume relative to Osc-. The volume changes in left OFC were significantly correlated with changes in mood disturbance. In addition, resting low frequency HRV increased more in the Osc+ than in the Osc- condition. These findings indicate that daily biofeedback sessions regulating heart rate oscillatory activity can shape both resting HRV and the brain circuits that help control HRV and regulate emotion.
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Affiliation(s)
- Hyun Joo Yoo
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Kaoru Nashiro
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Jungwon Min
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Christine Cho
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Shelby L Bachman
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Padideh Nasseri
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Shai Porat
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Shubir Dutt
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Vardui Grigoryan
- University of California, Los Angeles, Los Angeles, CA 90095, United States of America
| | - Paul Choi
- University of Southern California, Los Angeles, CA 90089, United States of America
| | - Julian F Thayer
- University of California, Irvine, Irvine, CA 92697, United States of America
| | - Paul M Lehrer
- Rutgers University, Piscataway, NJ 08854, United States of America
| | - Catie Chang
- Vanderbilt University, TN 37235, United States of America
| | - Mara Mather
- University of Southern California, Los Angeles, CA 90089, United States of America.
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19
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Moon SY, Kim S, Choi SH, Hong CH, Park YK, Na HR, Song HS, Park HK, Choi M, Lee SM, Chun BO, Lee JM, Jeong JH. Impact of Multidomain Lifestyle Intervention on Cerebral Cortical Thickness and Serum Brain-Derived Neurotrophic Factor: the SUPERBRAIN Exploratory Sub-study. Neurotherapeutics 2022; 19:1514-1525. [PMID: 35915368 PMCID: PMC9606175 DOI: 10.1007/s13311-022-01276-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2022] [Indexed: 11/26/2022] Open
Abstract
In the SoUth Korean study to PrEvent cognitive impaiRment and protect BRAIN health through lifestyle intervention in at-risk elderly people (SUPERBRAIN), we evaluated the impact of a 24-week facility-based multidomain intervention (FMI) and home-based MI (HMI) on cortical thickness, brain volume, and the serum brain-derived neurotrophic factor (BDNF). Totally, 152 participants, aged 60-79 years without dementia but with ≥ 1 modifiable dementia risk factor, were randomly assigned to the FMI, HMI, or control groups. Among them, 55 participants (20 FMI, 19 HMI, and 16 controls) underwent brain MRI at baseline and 24 weeks. We compared changes in global/regional mean cortical thickness at the region-of-interest (ROI) between the intervention and control groups. The changes in the total cortical gray matter volume and global mean cortical thickness were compared using analysis of covariance with age, sex, and education as covariates. ComBat site harmonization was applied for cortical thickness values across the scanners. ROI-based analysis was controlled for multiple comparisons, with a false discovery rate threshold of p < 0.05. Serum BDNF levels were significantly higher in the FMI group than in the control group (p = 0.029). Compared with the control group, the mean global cortical thickness increased in the FMI group (0.033 ± 0.070 vs. - 0.003 ± 0.040, p = 0.013); particularly, cortical thickness of the bilateral frontotemporal lobes, cingulate gyri, and insula increased. The increase in cortical thickness and serum BDNF in the FMI group suggests that group preventive strategies at the facility may be beneficial through structural neuroplastic changes in brain areas, which facilitates learning and neurotrophic factors.
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Affiliation(s)
- So Young Moon
- Department of Neurology, Ajou University School of Medicine, Suwon, Korea
| | - Sohui Kim
- Department of Electronic Engineering, Hanyang University, Seoul, South Korea
| | - Seong Hye Choi
- Department of Neurology, Inha University School of Medicine, Incheon, Korea
| | - Chang Hyung Hong
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Korea
| | - Yoo Kyoung Park
- Department of Medical Nutrition, Graduate School of East-West Medical Nutrition, Kyung Hee University, Suwon, Korea
| | - Hae Ri Na
- Department of Neurology, Bobath Memorial Hospital, Seongnam, Korea
| | - Hong-Sun Song
- Department of Sports Sciences, Korea Institute of Sports Science, Seoul, Korea
| | - Hee Kyung Park
- Department of Neurology, Ewha Womans University School of Medicine, 260 Gonghang-daero, Gangseo-gu, Seoul, 07804, Korea
| | - Muncheong Choi
- Department of Physical Education, Kookmin University, Seoul, Korea
- , Exercowork, Seoul, Korea
| | - Sun Min Lee
- Department of Neurology, Ajou University School of Medicine, Suwon, Korea
| | - Buong-O Chun
- Department of Sports Sciences, Korea Institute of Sports Science, Seoul, Korea
| | - Jong-Min Lee
- Department of Biomedical Engineering, Hanyang University, Sanhak-kisulkwan Bldg, #319, 222 Wangsipri-ro, Sungdong-gu, Seoul, 133-791, Republic of Korea.
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University School of Medicine, 260 Gonghang-daero, Gangseo-gu, Seoul, 07804, Korea.
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20
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Festini SB. Busyness, mental engagement, and stress: Relationships to neurocognitive aging and behavior. Front Aging Neurosci 2022; 14:980599. [PMID: 36092816 PMCID: PMC9451670 DOI: 10.3389/fnagi.2022.980599] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/04/2022] [Indexed: 12/26/2022] Open
Abstract
Considerable research identifies benefits of sustaining mental engagement in older adulthood. Frequent social, mental, and physical activities (e.g., exercise) and lifestyle factors that bolster cognitive reserve (i.e., education, occupation complexity) have been associated with cognitive benefits and delayed onset of dementia. Nevertheless, the relationship between general daily levels of busyness and cognition has been relatively understudied. Open questions remain about whether a causal link exists between a busy lifestyle and mental prowess, the relationship between busyness and stress, and methodological approaches to measure and track busyness levels. Here, the existing evidence is considered, along with future directions for research aimed at characterizing the effects of a busy lifestyle on neurocognitive aging and behavior.
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21
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Thams F, Külzow N, Flöel A, Antonenko D. Modulation of network centrality and gray matter microstructure using multi-session brain stimulation and memory training. Hum Brain Mapp 2022; 43:3416-3426. [PMID: 35373873 PMCID: PMC9248322 DOI: 10.1002/hbm.25857] [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: 11/08/2021] [Revised: 02/15/2022] [Accepted: 03/24/2022] [Indexed: 11/07/2022] Open
Abstract
Neural mechanisms of behavioral improvement induced by repeated transcranial direct current stimulation (tDCS) combined with cognitive training are yet unclear. Previously, we reported behavioral effects of a 3-day visuospatial memory training with concurrent anodal tDCS over the right temporoparietal cortex in older adults. To investigate intervention-induced neural alterations we here used functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) datasets available from 35 participants of this previous study, acquired before and after the intervention. To delineate changes in whole-brain functional network architecture, we employed eigenvector centrality mapping. Gray matter alterations were analyzed using DTI-derived mean diffusivity (MD). Network centrality in the bilateral posterior temporooccipital cortex was reduced after anodal compared to sham stimulation. This focal effect is indicative of decreased functional connectivity of the brain region underneath the anodal electrode and its left-hemispheric homolog with other "relevant" (i.e., highly connected) brain regions, thereby providing evidence for reorganizational processes within the brain's network architecture. Examining local MD changes in these clusters, an interaction between stimulation condition and training success indicated a decrease of MD in the right (stimulated) temporooccipital cluster in individuals who showed superior behavioral training benefits. Using a data-driven whole-brain network approach, we provide evidence for targeted neuromodulatory effects of a combined tDCS-and-training intervention. We show for the first time that gray matter alterations of microstructure (assessed by DTI-derived MD) may be involved in tDCS-enhanced cognitive training. Increased knowledge on how combined interventions modulate neural networks in older adults, will help the development of specific therapeutic interventions against age-associated cognitive decline.
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Affiliation(s)
- Friederike Thams
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Nadine Külzow
- Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Neurocure Cluster of Excellence, Berlin, Germany.,Neurological Rehabilitation Clinic, Kliniken Beelitz GmbH, Beelitz, Germany
| | - Agnes Flöel
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany.,German Centre for Neurodegenerative Diseases (DZNE) Standort Greifswald, Greifswald, Germany
| | - Daria Antonenko
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
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22
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Nissim NR, Harvey DY, Haslam C, Friedman L, Bharne P, Litz G, Phillips JS, Cousins KAQ, Xie SX, Grossman M, Hamilton RH. Through Thick and Thin: Baseline Cortical Volume and Thickness Predict Performance and Response to Transcranial Direct Current Stimulation in Primary Progressive Aphasia. Front Hum Neurosci 2022; 16:907425. [PMID: 35874157 PMCID: PMC9302040 DOI: 10.3389/fnhum.2022.907425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 06/02/2022] [Indexed: 11/23/2022] Open
Abstract
Objectives We hypothesized that measures of cortical thickness and volume in language areas would correlate with response to treatment with high-definition transcranial direct current stimulation (HD-tDCS) in persons with primary progressive aphasia (PPA). Materials and Methods In a blinded, within-group crossover study, PPA patients (N = 12) underwent a 2-week intervention HD-tDCS paired with constraint-induced language therapy (CILT). Multi-level linear regression (backward-fitted models) were performed to assess cortical measures as predictors of tDCS-induced naming improvements, measured by the Western Aphasia Battery-naming subtest, from baseline to immediately after and 6 weeks post-intervention. Results Greater baseline thickness of the pars opercularis significantly predicted naming gains (p = 0.03) immediately following intervention, while greater thickness of the middle temporal gyrus (MTG) and lower thickness of the superior temporal gyrus (STG) significantly predicted 6-week naming gains (p's < 0.02). Thickness did not predict naming gains in sham. Volume did not predict immediate gains for active stimulation. Greater volume of the pars triangularis and MTG, but lower STG volume significantly predicted 6-week naming gains in active stimulation. Greater pars orbitalis and MTG volume, and lower STG volume predicted immediate naming gains in sham (p's < 0.05). Volume did not predict 6-week naming gains in sham. Conclusion Cortical thickness and volume were predictive of tDCS-induced naming improvement in PPA patients. The finding that frontal thickness predicted immediate active tDCS-induced naming gains while temporal areas predicted naming changes at 6-week suggests that a broader network of regions may be important for long-term maintenance of treatment gains. The finding that volume predicted immediate naming performance in the sham condition may reflect the benefits of behavioral speech language therapy and neural correlates of its short-lived treatment gains. Collectively, thickness and volume were predictive of treatment gains in the active condition but not sham, suggesting that pairing HD-tDCS with CILT may be important for maintaining treatment effects.
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Affiliation(s)
- Nicole R. Nissim
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Moss Rehabilitation Research Institute, Elkins Park, PA, United States
| | - Denise Y. Harvey
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Christopher Haslam
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Leah Friedman
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Pandurang Bharne
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, United States
| | - Geneva Litz
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, United States
| | - Jeffrey S. Phillips
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, United States
| | - Katheryn A. Q. Cousins
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, United States
| | - Sharon X. Xie
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, United States
| | - Murray Grossman
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, United States
| | - Roy H. Hamilton
- Laboratory for Cognition and Neural Stimulation, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
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23
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Hol HR, Flak MM, Chang L, Løhaugen GCC, Bjuland KJ, Rimol LM, Engvig A, Skranes J, Ernst T, Madsen BO, Hernes SS. Cortical Thickness Changes After Computerized Working Memory Training in Patients With Mild Cognitive Impairment. Front Aging Neurosci 2022; 14:796110. [PMID: 35444526 PMCID: PMC9014119 DOI: 10.3389/fnagi.2022.796110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 02/21/2022] [Indexed: 11/13/2022] Open
Abstract
Background Adaptive computerized working memory (WM) training has shown favorable effects on cerebral cortical thickness as compared to non-adaptive training in healthy individuals. However, knowledge of WM training-related morphological changes in mild cognitive impairment (MCI) is limited. Objective The primary objective of this double-blind randomized study was to investigate differences in longitudinal cortical thickness trajectories after adaptive and non-adaptive WM training in patients with MCI. We also investigated the genotype effects on cortical thickness trajectories after WM training combining these two training groups using longitudinal structural magnetic resonance imaging (MRI) analysis in Freesurfer. Method Magnetic resonance imaging acquisition at 1.5 T were performed at baseline, and after four- and 16-weeks post training. A total of 81 individuals with MCI accepted invitations to undergo 25 training sessions over 5 weeks. Longitudinal Linear Mixed effect models investigated the effect of adaptive vs. non-adaptive WM training. The LME model was fitted for each location (vertex). On all statistical analyzes, a threshold was applied to yield an expected false discovery rate (FDR) of 5%. A secondary LME model investigated the effects of LMX1A and APOE-ε4 on cortical thickness trajectories after WM training. Results A total of 62 participants/patients completed the 25 training sessions. Structural MRI showed no group difference between the two training regimes in our MCI patients, contrary to previous reports in cognitively healthy adults. No significant structural cortical changes were found after training, regardless of training type, across all participants. However, LMX1A-AA carriers displayed increased cortical thickness trajectories or lack of decrease in two regions post-training compared to those with LMX1A-GG/GA. No training or training type effects were found in relation to the APOE-ε4 gene variants. Conclusion The MCI patients in our study, did not have improved cortical thickness after WM training with either adaptive or non-adaptive training. These results were derived from a heterogeneous population of MCI participants. The lack of changes in the cortical thickness trajectory after WM training may also suggest the lack of atrophy during this follow-up period. Our promising results of increased cortical thickness trajectory, suggesting greater neuroplasticity, in those with LMX1A-AA genotype need to be validated in future trials.
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Affiliation(s)
- Haakon R. Hol
- Department of Radiology, Sørlandet Hospital, Arendal, Norway
- Department of Radiology, Oslo University Hospital, Oslo, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
- *Correspondence: Haakon R. Hol,
| | | | - Linda Chang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | | | - Knut Jørgen Bjuland
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Lars M. Rimol
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Andreas Engvig
- Department of Medicine, Diakonhjemmet Hospital, Oslo, Norway
| | - Jon Skranes
- Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Thomas Ernst
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Bengt-Ove Madsen
- Department of Geriatric and Internal Medicine, Sørlandet Hospital, Arendal, Norway
| | - Susanne S. Hernes
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Geriatric and Internal Medicine, Sørlandet Hospital, Arendal, Norway
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24
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Abé C, Ching CRK, Liberg B, Lebedev AV, Agartz I, Akudjedu TN, Alda M, Alnæs D, Alonso-Lana S, Benedetti F, Berk M, Bøen E, Bonnin CDM, Breuer F, Brosch K, Brouwer RM, Canales-Rodríguez EJ, Cannon DM, Chye Y, Dahl A, Dandash O, Dannlowski U, Dohm K, Elvsåshagen T, Fisch L, Fullerton JM, Goikolea JM, Grotegerd D, Haatveit B, Hahn T, Hajek T, Heindel W, Ingvar M, Sim K, Kircher TTJ, Lenroot RK, Malt UF, McDonald C, McWhinney SR, Melle I, Meller T, Melloni EMT, Mitchell PB, Nabulsi L, Nenadić I, Opel N, Overs BJ, Panicalli F, Pfarr JK, Poletti S, Pomarol-Clotet E, Radua J, Repple J, Ringwald KG, Roberts G, Rodriguez-Cano E, Salvador R, Sarink K, Sarró S, Schmitt S, Stein F, Suo C, Thomopoulos SI, Tronchin G, Vieta E, Westlye LT, White AG, Yatham LN, Zak N, Thompson PM, Andreassen OA, Landén M. Longitudinal Structural Brain Changes in Bipolar Disorder: A Multicenter Neuroimaging Study of 1232 Individuals by the ENIGMA Bipolar Disorder Working Group. Biol Psychiatry 2022; 91:582-592. [PMID: 34809987 DOI: 10.1016/j.biopsych.2021.09.008] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 08/24/2021] [Accepted: 09/10/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is associated with cortical and subcortical structural brain abnormalities. It is unclear whether such alterations progressively change over time, and how this is related to the number of mood episodes. To address this question, we analyzed a large and diverse international sample with longitudinal magnetic resonance imaging (MRI) and clinical data to examine structural brain changes over time in BD. METHODS Longitudinal structural MRI and clinical data from the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) BD Working Group, including 307 patients with BD and 925 healthy control subjects, were collected from 14 sites worldwide. Male and female participants, aged 40 ± 17 years, underwent MRI at 2 time points. Cortical thickness, surface area, and subcortical volumes were estimated using FreeSurfer. Annualized change rates for each imaging phenotype were compared between patients with BD and healthy control subjects. Within patients, we related brain change rates to the number of mood episodes between time points and tested for effects of demographic and clinical variables. RESULTS Compared with healthy control subjects, patients with BD showed faster enlargement of ventricular volumes and slower thinning of the fusiform and parahippocampal cortex (0.18 <d < 0.22). More (hypo)manic episodes were associated with faster cortical thinning, primarily in the prefrontal cortex. CONCLUSIONS In the hitherto largest longitudinal MRI study on BD, we did not detect accelerated cortical thinning but noted faster ventricular enlargements in BD. However, abnormal frontocortical thinning was observed in association with frequent manic episodes. Our study yields insights into disease progression in BD and highlights the importance of mania prevention in BD treatment.
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Affiliation(s)
- Christoph Abé
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden.
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California
| | - Benny Liberg
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden
| | - Alexander V Lebedev
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden
| | - Ingrid Agartz
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Theophilus N Akudjedu
- Institute of Medical Imaging and Visualisation, Bournemouth University, Bournemouth, United Kingdom; Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia; National Institute of Mental Health, Klecany, Czech Republic
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Bjørknes College, Oslo, Norway
| | - Silvia Alonso-Lana
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Michael Berk
- Orygen, the National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, the University of Melbourne, Melbourne, Victoria, Australia; Department of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Deakin University, the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Victoria, Australia
| | - Erlend Bøen
- Unit of Psychosomatic and CL Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Caterina Del Mar Bonnin
- Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Barcelona Bipolar Disorders and Depressive Unit, Hospital Clínic, Institute of Neurosciences, Barcelona, Spain; University of Barcelona, Barcelona, Spain
| | - Fabian Breuer
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Rachel M Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, the Netherlands; Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Erick J Canales-Rodríguez
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Signal Processing Laboratory, École polytechnique fédérale de Lausanne, Lausanne, Switzerland
| | - Dara M Cannon
- Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Yann Chye
- Turner Institute for Brain and Mental Health, School of Psychological Science and Monash Biomedical Imaging Facility, Monash University, Melbourne, Victoria, Australia
| | - Andreas Dahl
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Orwa Dandash
- Department of Psychiatry, The University of Melbourne, Melbourne, Victoria, Australia
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Dohm
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Neurology, Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway
| | - Lukas Fisch
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Janice M Fullerton
- School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Jose M Goikolea
- Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Barcelona Bipolar Disorders and Depressive Unit, Hospital Clínic, Institute of Neurosciences, Barcelona, Spain; University of Barcelona, Barcelona, Spain
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Beathe Haatveit
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Tim Hahn
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia; National Institute of Mental Health, Klecany, Czech Republic; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia; National Institute of Mental Health, Klecany, Czech Republic; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Walter Heindel
- Clinic for Radiology, University of Münster, Münster, Germany
| | - Martin Ingvar
- Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Stockholm, Sweden; Karolinska University Hospital, Department of Neuroradiology, Stockholm, Sweden
| | - Kang Sim
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; West Region, Institute of Mental Health, Singapore, Singapore; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tilo T J Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | | | - Ulrik F Malt
- Department of Neurology, Oslo University Hospital, Oslo, Norway; Department of Psychiatry and Addiction, Section for C-L Psychiatry and Psychosomatics, Oslo University Hospital, Oslo, Norway
| | - Colm McDonald
- Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Sean R McWhinney
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia
| | - Ingrid Melle
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Elisa M T Melloni
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Leila Nabulsi
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California; Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Nils Opel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Bronwyn J Overs
- Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Francesco Panicalli
- Hospital general de Granollers, Barcelona, Spain; Benito Menni CASM, Barcelona, Spain
| | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Sara Poletti
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Joaquim Radua
- Center for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden; Early Psychosis: Interventions and Clinical-detection lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Jonathan Repple
- Center for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden; Early Psychosis: Interventions and Clinical-detection lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Kai G Ringwald
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Elena Rodriguez-Cano
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Benito Menni CASM, Barcelona, Spain
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Kelvin Sarink
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; West Region, Institute of Mental Health, Singapore, Singapore; Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Simon Schmitt
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany; Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig, University of Giessen, Giessen, Germany
| | - Chao Suo
- Turner Institute for Brain and Mental Health, School of Psychological Science and Monash Biomedical Imaging Facility, Monash University, Melbourne, Victoria, Australia
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California
| | - Giulia Tronchin
- Centre for Neuroimaging and Cognitive Genomics, Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health Sciences, National University of Ireland, Galway, Ireland
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Barcelona Bipolar Disorders and Depressive Unit, Hospital Clínic, Institute of Neurosciences, Barcelona, Spain; University of Barcelona, Barcelona, Spain
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Adam G White
- Djavad Mowafaghian Centre for Brain Health, Vancouver, British Columbia, Canada
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Nathalia Zak
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, California
| | - Ole A Andreassen
- KG Jebsen Centre for Neurodevelopmental Disorders, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Cognitive Intervention Using Information and Communication Technology for Older Adults with Mild Cognitive Impairment: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111535. [PMID: 34770049 PMCID: PMC8583509 DOI: 10.3390/ijerph182111535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 11/17/2022]
Abstract
Background: Outside activities have decreased due to the spread of the COVID-19 since 2019; therefore, the need for education using information and communication technology (ICT) for older adults with mild cognitive impairment (MCI) has increased. This study systematically evaluated the effects of cognitive enhancement interventions using ICT on older adults with MCI. Methods: Six electronic databases (CINAHL, Cochrane CENTRAL, EMBASE, PubMed, RISS, and KISS) were searched for relevant articles published from 25 January to 10 February, 2021. Results: As a result of the systematic literature review, 12 research papers were finally selected as the literature for quality evaluation, and 11 final papers were selected, excluding one in the quality evaluation. From the synthesis in this study, it was found that cognitive intervention using ICT showed a statistically significant positive effect on cognitive function when compared with various control groups (SMD = 0.4547; p < 0.001; 95% CI: 0.1980–0.7113). Conclusions: Through this study, cognitive intervention using ICT showed a small effect size for older adults with mild cognitive impairment, and statistically significant results were found.
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26
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Foreign Language Training to Stimulate Cognitive Functions. Brain Sci 2021; 11:brainsci11101315. [PMID: 34679380 PMCID: PMC8533724 DOI: 10.3390/brainsci11101315] [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: 07/26/2021] [Revised: 09/09/2021] [Accepted: 09/11/2021] [Indexed: 11/17/2022] Open
Abstract
Adult development throughout a lifetime implies a series of changes in systems, including cognitive and linguistic functioning. The aim of this article is to study the effect of foreign language training on linguistic processing, particularly the frequency of the tip-of-the-tongue (TOT) phenomenon and on other cognitive processes such as processing speed and working memory in adults aged 40 to 60 years. Sixty-six healthy Colombian teachers were enrolled in this study. They were then randomly divided into an experimental group (33 healthy adults who underwent a four-week training period) and a passive control group (33 healthy adults who did not undergo any training). All participants performed induction tasks for the TOT phenomenon, working memory and processing speed before and after the four weeks. Results showed more of an effect in the semantic access, phonological access and processing speed measures with a better performance in the experimental group than in the control group. In Colombia, this type of training is still new and little is known to date about programs to prevent cognitive impairments. The need to conduct more studies confirming or refuting these findings is discussed, thus raising awareness about the extent of this type of training to increase the linguistic and cognitive performance of adults.
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27
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Plank T, Benkowitsch EMA, Beer AL, Brandl S, Malania M, Frank SM, Jägle H, Greenlee MW. Cortical Thickness Related to Compensatory Viewing Strategies in Patients With Macular Degeneration. Front Neurosci 2021; 15:718737. [PMID: 34658765 PMCID: PMC8517450 DOI: 10.3389/fnins.2021.718737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 09/06/2021] [Indexed: 11/13/2022] Open
Abstract
Retinal diseases like age-related macular degeneration (AMD) or hereditary juvenile macular dystrophies (JMD) lead to a loss of central vision. Many patients compensate for this loss with a pseudo fovea in the intact peripheral retina, the so-called "preferred retinal locus" (PRL). How extensive eccentric viewing associated with central vision loss (CVL) affects brain structures responsible for visual perception and visually guided eye movements remains unknown. CVL results in a reduction of cortical gray matter in the "lesion projection zone" (LPZ) in early visual cortex, but the thickness of primary visual cortex appears to be largely preserved for eccentric-field representations. Here we explore how eccentric viewing strategies are related to cortical thickness (CT) measures in early visual cortex and in brain areas involved in the control of eye movements (frontal eye fields, FEF, supplementary eye fields, SEF, and premotor eye fields, PEF). We determined the projection zones (regions of interest, ROIs) of the PRL and of an equally peripheral area in the opposite hemifield (OppPRL) in early visual cortex (V1 and V2) in 32 patients with MD and 32 age-matched controls (19-84 years) by functional magnetic resonance imaging. Subsequently, we calculated the CT in these ROIs and compared it between PRL and OppPRL as well as between groups. Additionally, we examined the CT of FEF, SEF, and PEF and correlated it with behavioral measures like reading speed and eccentric fixation stability at the PRL. We found a significant difference between PRL and OppPRL projection zones in V1 with increased CT at the PRL, that was more pronounced in the patients, but also visible in the controls. Although the mean CT of the eye fields did not differ significantly between patients and controls, we found a trend to a positive correlation between CT in the right FEF and SEF and fixation stability in the whole patient group and between CT in the right PEF and reading speed in the JMD subgroup. The results indicate a possible association between the compensatory strategies used by patients with CVL and structural brain properties in early visual cortex and cortical eye fields.
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Affiliation(s)
- Tina Plank
- Institute of Experimental Psychology, University of Regensburg, Regensburg, Germany
| | | | - Anton L. Beer
- Institute of Experimental Psychology, University of Regensburg, Regensburg, Germany
| | - Sabine Brandl
- Department of Ophthalmology, University Hospital Regensburg, Regensburg, Germany
| | - Maka Malania
- Institute of Experimental Psychology, University of Regensburg, Regensburg, Germany
| | - Sebastian M. Frank
- Institute of Experimental Psychology, University of Regensburg, Regensburg, Germany
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States
- Department of Cognitive, Linguistic & Psychological Sciences, Brown University, Providence, RI, United States
| | - Herbert Jägle
- Department of Ophthalmology, University Hospital Regensburg, Regensburg, Germany
| | - Mark W. Greenlee
- Institute of Experimental Psychology, University of Regensburg, Regensburg, Germany
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28
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The Humanoid Robot Sil-Bot in a Cognitive Training Program for Community-Dwelling Elderly People with Mild Cognitive Impairment during the COVID-19 Pandemic: A Randomized Controlled Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18158198. [PMID: 34360490 PMCID: PMC8345968 DOI: 10.3390/ijerph18158198] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/26/2021] [Accepted: 07/30/2021] [Indexed: 12/14/2022]
Abstract
Background: Mild cognitive impairment (MCI) is a stage preceding dementia, and early intervention is critical. This study investigated whether multi-domain cognitive training programs, especially robot-assisted training, conducted 12 times, twice a week for 6 weeks can improve cognitive function and depression decline in community-dwelling older adults with mild cognitive impairment (MCI). Methods: A randomized controlled trial was conducted with 135 volunteers without cognitive impairment aged 60 years old or older. Participants were first randomized into two groups. One group consisted of 90 participants who would receive cognitive training and 45 who would not receive any training (NI). The cognitive training group was randomly divided into two groups, 45 who received traditional cognitive training (TCT) and 45 who received robot-assisted cognitive training (RACT). The training for both groups consisted of a daily 60 min session, twice a week for six weeks. Results: RACT participants had significantly greater post-intervention improvement in cognitive function (t = 4.707, p < 0.001), memory (t = −2.282, p = 0.007), executive function (t = 4.610, p < 0.001), and depression (t = −3.307, p = 0.004). TCT participants had greater post-intervention improvement in memory (t = −6.671, p < 0.001) and executive function (t = 5.393, p < 0.001). Conclusions: A 6-week robot-assisted, multi-domain cognitive training program can improve the efficiency of global cognitive function and depression during cognitive tasks in older adults with MCI, which is associated with improvements in memory and executive function.
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Knight MJ, Lyrtzis E, Fourrier C, Aboustate N, Sampson E, Hori H, Cearns M, Morgan J, Toben C, Baune BT. Psychological training to improve psychosocial function in patients with major depressive disorder: A randomised clinical trial. Psychiatry Res 2021; 300:113906. [PMID: 33853014 DOI: 10.1016/j.psychres.2021.113906] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 03/27/2021] [Indexed: 01/04/2023]
Abstract
Cognitive and emotional remediation training for depression (CERT-D): a randomised controlled trial to improve cognitive, emotional and functional outcomes in depression The aim of the current study was to evaluate an experimental treatment designed to improve psychosocial function in patients with Major Depressive Disorder (MDD) by reinforcing cognitive, emotional, and social-cognitive abilities. Participants (N = 112) with current or lifetime MDD were recruited to participate in a randomised, blinded, controlled trial. Exclusion criteria included diagnosis of a substance abuse disorder, bipolar disorder organic, eating disorders, or illness which affect cognitive function. The treatment involved repeated cognitive training designed to improve cognitive, emotional, and social-cognitive abilities. In training sessions, the principles of cognitive training were applied across cognitive, emotional, and social domains, with participants completing repeated mental exercises. Exercises included critically analysing interpretations of social interactions (e.g., body language), exploring emotional reactions to stimuli, and completing game-like cognitive training tasks. Training sessions placed great emphasis on the application of trained cognitive, emotional, and social cognitive skills to psychosocial outcomes. Outcomes demonstrated significant improvement in psychosocial function, symptom severity, self-reported cognition, and social-cognition. Our findings demonstrate the efficacy of multi-domain cognitive training to improve psychosocial functioning in individuals with MDD. We suggest that the present treatment could be deployed at a lower cost and with minimal training in comparison to established psychological therapies.
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Affiliation(s)
- Matthew J Knight
- Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Ellen Lyrtzis
- Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Célia Fourrier
- Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Natalie Aboustate
- Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Emma Sampson
- Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Hikaru Hori
- Department of Psychiatry, School of Medicine, University of Occupational and Environmental Health, Kitakyushu City, Japan
| | - Micah Cearns
- Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Julie Morgan
- Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Catherine Toben
- Discipline of Psychiatry, Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Bernhard T Baune
- Department of Psychiatry and Psychotherapy, University Hospital Münster, University of Münster, Münster, Germany; Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Australia; The Florey Institute of Neuroscience and Mental Health, The Universit y of Melbourne, Parkville, VIC, Australia.
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30
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Feng Y, Song J, Yan W, Wang J, Zhao C, Zeng Q. Investigation of Local White Matter Properties in Professional Chess Player: A Diffusion Magnetic Resonance Imaging Study Based on Automatic Annotation Fiber Clustering. IEEE Trans Cogn Dev Syst 2021. [DOI: 10.1109/tcds.2020.2968116] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Interacting effects of frontal lobe neuroanatomy and working memory capacity to older listeners' speech recognition in noise. Neuropsychologia 2021; 158:107892. [PMID: 34019869 DOI: 10.1016/j.neuropsychologia.2021.107892] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 03/26/2021] [Accepted: 05/14/2021] [Indexed: 01/01/2023]
Abstract
Many older adults are struggling with understanding spoken language, particularly when background noise interferes with comprehension. In the present study, we investigated a potential interaction between two well-known factors associated with greater speech-in-noise (SiN) reception thresholds in older adults, namely a) lower working memory capacity and b) age-related structural decline of frontal lobe regions. In a sample of older adults (N = 25) and younger controls (N = 13) with normal pure-tone thresholds, SiN reception thresholds and working memory capacity were assessed. Furthermore, T1-weighted structural MR-images were recorded to analyze neuroanatomical traits (i.e., cortical thickness (CT) and cortical surface area (CSA)) of the cortex. As expected, the older group showed greater SiN reception thresholds compared to the younger group. We also found consistent age-related atrophy (i.e., lower CT) in brain regions associated with SiN recognition, namely the superior temporal lobe bilaterally, the right inferior frontal and precentral gyrus, as well as the left superior frontal gyrus. Those older participants with greater atrophy in these brain regions showed greater SiN reception thresholds. Interestingly, the association between CT in the left superior frontal gyrus and SiN reception thresholds was moderated by individual working memory capacity. Older adults with greater working memory capacity benefitted more strongly from thicker frontal lobe regions leading to better SiN recognition. Overall, our results fit well into the literature showing that age-related structural decline in auditory- and cognition-related brain areas is associated with greater SiN reception thresholds in older adults. However, we highlight that this association changes as a function of individual working memory capacity. We therefore believe that future interventions to improve SiN recognition in older adults should take into account the role of the frontal lobe as well as individual working memory capacity.
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Lawlor-Savage L, Kusi M, Clark CM, Goghari VM. No evidence for an effect of a working memory training program on white matter microstructure. INTELLIGENCE 2021. [DOI: 10.1016/j.intell.2021.101541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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33
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Duda BM, Sweet LH. Functional brain changes associated with cognitive training in healthy older adults: A preliminary ALE meta-analysis. Brain Imaging Behav 2021; 14:1247-1262. [PMID: 30900077 DOI: 10.1007/s11682-019-00080-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Accumulating evidence suggests that cognitive training (CT) programs may provide healthy older adults (OAs) with cognitive benefits that are accompanied by alterations in neural activity. The current review offers the first quantitative synthesis of the available literature on the neural effects of CT in healthy aging. It was hypothesized that OAs would evidence increased and decreased neural activations across various challenging CTs, and that these effects would be observed as significantly altered clusters within regions of the frontoparietal network (FPN). Online databases and reference lists were searched to identify peer-reviewed publications that reported assessment of neural changes associated with CT programs in healthy OAs. Among the 2097 candidate studies identified, 14 studies with a total of 238 participants met inclusionary criteria. GingerALE software was used to quantify neural effects in a whole-brain analysis. The activation likelihood estimation technique revealed significant increases in activation following CT in the left hemisphere middle frontal gyrus, precentral gyrus, and posterior parietal cortex, extending to the superior occipital gyrus. Two clusters of diminished neural activity following CT were identified within the right hemisphere middle frontal gyrus and supramarginal gyrus, extending to the superior temporal gyrus. These results provide preliminary evidence of common neural effects of different CT interventions within regions of the FPN. Findings may inform future investigations of neuroplasticity across the lifespan, including clinical applications of CT, such as assessing treatment outcomes.
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Affiliation(s)
- Bryant M Duda
- Department of Psychology, University of Georgia, Athens, GA, 30602-3001, USA.
| | - Lawrence H Sweet
- Department of Psychology, University of Georgia, Athens, GA, 30602-3001, USA.,Department of Psychiatry & Human Behavior, Brown University Medical School, Providence, RI, USA
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34
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Morris TP, Chaddock-Heyman L, Ai M, Anteraper SA, Castañon AN, Whitfield-Gabrieli S, Hillman CH, McAuley E, Kramer AF. Enriching activities during childhood are associated with variations in functional connectivity patterns later in life. Neurobiol Aging 2021; 104:92-101. [PMID: 33984626 DOI: 10.1016/j.neurobiolaging.2021.04.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 04/01/2021] [Accepted: 04/05/2021] [Indexed: 01/21/2023]
Abstract
Enriching early life experiences (e.g., sport, art, music, volunteering, language learning) during a critical period of brain development may promote structural and functional brain changes that are still present decades later (>60 years). We assessed whether a greater variety of enriching early life activities (EELA) before age 13 years were associated with individual differences in cortical and subcortical (hippocampus and amygdala) structure and function later in life (older adults aged 60-80 years). Results indicated no association between EELA and amygdala and hippocampus volumes, but higher functional connectivity between the amygdala and the insula was associated with more variety of EELA. EELA was not associated with cortical thickness controlling for sex, but sex-specific associations with the right pars opercularis were found. EELA was further associated with variations in functional connectivity patterns of the orbitofrontal cortex, driven by connecitivty to regions within the visual, somatosensory and limbic networks. Early life enriching activities appear to contribute to potential mechanisms of cognitive reserve (functional processes) more so than brain reserve (structure) later in life.
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Affiliation(s)
- Timothy P Morris
- Department of Psychology, Northeastern University, Boston, MA, USA.
| | - Laura Chaddock-Heyman
- Department of Psychology, Northeastern University, Boston, MA, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Champaign, IL, USA
| | - Meishan Ai
- Department of Psychology, Northeastern University, Boston, MA, USA
| | | | | | - Susan Whitfield-Gabrieli
- Department of Psychology, Northeastern University, Boston, MA, USA; McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Charles H Hillman
- Department of Psychology, Northeastern University, Boston, MA, USA; Department of Physical Therapy, Movement, and Rehabilitation Sciences, Northeastern University, Boston, MA, USA
| | - Edward McAuley
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Champaign, IL, USA; Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Arthur F Kramer
- Department of Psychology, Northeastern University, Boston, MA, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Champaign, IL, USA
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35
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Boller B, Ouellet É, Belleville S. Using Virtual Reality to Assess and Promote Transfer of Memory Training in Older Adults With Memory Complaints: A Randomized Controlled Trial. Front Psychol 2021; 12:627242. [PMID: 33776848 PMCID: PMC7994284 DOI: 10.3389/fpsyg.2021.627242] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Accepted: 02/19/2021] [Indexed: 11/20/2022] Open
Abstract
In this proof-of-concept study, we assessed the potential for immersive virtual reality (VR) to measure transfer following strategic memory training, and whether efficacy and transfer are increased when training is complemented by practice in an immersive virtual environment. Forty older adults with subjective memory complaints were trained with the method of loci. They were randomized to either a condition where they practiced the strategy in VR (n = 20) or a control condition where they were familiarized with VR using a non-memory task (n = 20). Training efficacy was measured with word recall, and transfer of the training benefit was measured with a recall task completed in two VR tasks (primary outcomes) as well as a self-report memory questionnaire (secondary outcomes). Testing was administered before (PRE), midway (POST 3), and after (POST 6) training. Participants improved their scores on word recall. Regarding transfer measures, participants improved their performance in the two VR recall tasks but not on the self-report memory questionnaire. No significant group effect was observed. Improvement was found when comparing PRE to POST 3 with no further improvement at POST 6. Thus, strategic memory training improved the memory of seniors with memory complaints on word recall and a transfer task relying on a VR scenario that resembles real-life. However, no evidence supporting an increase in transfer effects was found when enriching training with VR memory exercises.
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Affiliation(s)
- Benjamin Boller
- Department of Psychology, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada.,Research Centre, Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada
| | - Émilie Ouellet
- Research Centre, Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada.,Department of Psychology, Université de Montréal, Montréal, QC, Canada
| | - Sylvie Belleville
- Research Centre, Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada.,Department of Psychology, Université de Montréal, Montréal, QC, Canada
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36
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Wu Q, Ripp I, Emch M, Koch K. Cortical and subcortical responsiveness to intensive adaptive working memory training: An MRI surface-based analysis. Hum Brain Mapp 2021; 42:2907-2920. [PMID: 33724600 PMCID: PMC8127158 DOI: 10.1002/hbm.25412] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 03/04/2021] [Accepted: 03/05/2021] [Indexed: 12/31/2022] Open
Abstract
Working memory training (WMT) has been shown to have effects on cognitive performance, the precise effects and the underlying neurobiological mechanisms are, however, still a matter of debate. In particular, the impact of WMT on gray matter morphology is still rather unclear. In the present study, 59 healthy middle‐aged participants (age range 50–65 years) were pseudo‐randomly single‐blinded allocated to an 8‐week adaptive WMT or an 8‐week nonadaptive intervention. Before and after the intervention, high resolution magnetic resonance imaging (MRI) was performed and cognitive test performance was assessed in all participants. Vertex‐wise cortical volume, thickness, surface area, and cortical folding was calculated. Seven subcortical volumes of interest and global mean cortical thickness were also measured. Comparisons of symmetrized percent change (SPC) between groups were conducted to identify group by time interactions. Greater increases in cortical gyrification in bilateral parietal regions, including superior parietal cortex and inferior parietal lobule as well as precuneus, greater increases in cortical volume and thickness in bilateral primary motor cortex, and changes in surface area in bilateral occipital cortex (medial and lateral occipital cortex) were detected in WMT group after training compared to active controls. Structural training‐induced changes in WM‐related regions, especially parietal regions, might provide a better brain processing environment for higher WM load.
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Affiliation(s)
- Qiong Wu
- Department of Diagnostic and Interventional Neuroradiology, Klinikum Rechts der Isar, School of MedicineTechnical University of MunichMunichGermany
- TUM‐Neuroimaging Center (TUM‐NIC)Technical University of MunichMunichGermany
- Institute of Medical PsychologyLudwig‐Maximilians‐UniversitätMunichGermany
| | - Isabelle Ripp
- TUM‐Neuroimaging Center (TUM‐NIC)Technical University of MunichMunichGermany
- Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der IsarTechnical University of MunichMunichGermany
- Graduate School of Systemic NeurosciencesLudwig‐Maximilians‐UniversitätMartinsriedGermany
| | - Mónica Emch
- Department of Diagnostic and Interventional Neuroradiology, Klinikum Rechts der Isar, School of MedicineTechnical University of MunichMunichGermany
- TUM‐Neuroimaging Center (TUM‐NIC)Technical University of MunichMunichGermany
- Graduate School of Systemic NeurosciencesLudwig‐Maximilians‐UniversitätMartinsriedGermany
| | - Kathrin Koch
- Department of Diagnostic and Interventional Neuroradiology, Klinikum Rechts der Isar, School of MedicineTechnical University of MunichMunichGermany
- TUM‐Neuroimaging Center (TUM‐NIC)Technical University of MunichMunichGermany
- Graduate School of Systemic NeurosciencesLudwig‐Maximilians‐UniversitätMartinsriedGermany
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37
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Tian Q, Zaretskaya N, Fan Q, Ngamsombat C, Bilgic B, Polimeni JR, Huang SY. Improved cortical surface reconstruction using sub-millimeter resolution MPRAGE by image denoising. Neuroimage 2021; 233:117946. [PMID: 33711484 PMCID: PMC8421085 DOI: 10.1016/j.neuroimage.2021.117946] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 02/28/2021] [Accepted: 03/03/2021] [Indexed: 11/24/2022] Open
Abstract
Automatic cerebral cortical surface reconstruction is a useful tool for cortical anatomy quantification, analysis and visualization. Recently, the Human Connectome Project and several studies have shown the advantages of using T1-weighted magnetic resonance (MR) images with sub-millimeter isotropic spatial resolution instead of the standard 1-mm isotropic resolution for improved accuracy of cortical surface positioning and thickness estimation. Nonetheless, sub-millimeter resolution images are noisy by nature and require averaging multiple repetitions to increase the signal-to-noise ratio for precisely delineating the cortical boundary. The prolonged acquisition time and potential motion artifacts pose significant barriers to the wide adoption of cortical surface reconstruction at sub-millimeter resolution for a broad range of neuroscientific and clinical applications. We address this challenge by evaluating the cortical surface reconstruction resulting from denoised single-repetition sub-millimeter T1-weighted images. We systematically characterized the effects of image denoising on empirical data acquired at 0.6 mm isotropic resolution using three classical denoising methods, including denoising convolutional neural network (DnCNN), block-matching and 4-dimensional filtering (BM4D) and adaptive optimized non-local means (AONLM). The denoised single-repetition images were found to be highly similar to 6-repetition averaged images, with a low whole-brain averaged mean absolute difference of ~0.016, high whole-brain averaged peak signal-to-noise ratio of ~33.5 dB and structural similarity index of ~0.92, and minimal gray matter–white matter contrast loss (2% to 9%). The whole-brain mean absolute discrepancies in gray matter–white matter surface placement, gray matter–cerebrospinal fluid surface placement and cortical thickness estimation were lower than 165 μm, 155 μm and 145 μm—sufficiently accurate for most applications. These discrepancies were approximately one third to half of those from 1-mm isotropic resolution data. The denoising performance was equivalent to averaging ~2.5 repetitions of the data in terms of image similarity, and 1.6–2.2 repetitions in terms of the cortical surface placement accuracy. The scan-rescan variability of the cortical surface positioning and thickness estimation was lower than 170 μm. Our unique dataset and systematic characterization support the use of denoising methods for improved cortical surface reconstruction at sub-millimeter resolution.
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Affiliation(s)
- Qiyuan Tian
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Harvard Medical School, Boston, MA, United States.
| | - Natalia Zaretskaya
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Harvard Medical School, Boston, MA, United States; Institute of Psychology, University of Graz, Graz, Austria; BioTechMed-Graz, Austria
| | - Qiuyun Fan
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Chanon Ngamsombat
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Department of Radiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Thailand
| | - Berkin Bilgic
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Harvard Medical School, Boston, MA, United States; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Jonathan R Polimeni
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Harvard Medical School, Boston, MA, United States; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Susie Y Huang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States; Harvard Medical School, Boston, MA, United States; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States
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38
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Mikos A, Malagurski B, Liem F, Mérillat S, Jäncke L. Object-Location Memory Training in Older Adults Leads to Greater Deactivation of the Dorsal Default Mode Network. Front Hum Neurosci 2021; 15:623766. [PMID: 33716693 PMCID: PMC7952529 DOI: 10.3389/fnhum.2021.623766] [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: 10/30/2020] [Accepted: 01/20/2021] [Indexed: 12/02/2022] Open
Abstract
Substantial evidence indicates that cognitive training can be efficacious for older adults, but findings regarding training-related brain plasticity have been mixed and vary depending on the imaging modality. Recent years have seen a growth in recognition of the importance of large-scale brain networks on cognition. In particular, task-induced deactivation within the default mode network (DMN) is thought to facilitate externally directed cognition, while aging-related decrements in this neural process are related to reduced cognitive performance. It is not yet clear whether task-induced deactivation within the DMN can be enhanced by cognitive training in the elderly. We previously reported durable cognitive improvements in a sample of healthy older adults (age range = 60-75) who completed 6 weeks of process-based object-location memory training (N = 36) compared to an active control training group (N = 31). The primary aim of the current study is to evaluate whether these cognitive gains are accompanied by training-related changes in task-related DMN deactivation. Given the evidence for heterogeneity of the DMN, we examine task-related activation/deactivation within two separate DMN branches, a ventral branch related to episodic memory and a dorsal branch more closely resembling the canonical DMN. Participants underwent functional magnetic resonance imaging (fMRI) while performing an untrained object-location memory task at four time points before, during, and after the training period. Task-induced (de)activation values were extracted for the ventral and dorsal DMN branches at each time point. Relative to visual fixation baseline: (i) the dorsal DMN was deactivated during the scanner task, while the ventral DMN was activated; (ii) the object-location memory training group exhibited an increase in dorsal DMN deactivation relative to the active control group over the course of training and follow-up; (iii) changes in dorsal DMN deactivation did not correlate with task improvement. These results indicate a training-related enhancement of task-induced deactivation of the dorsal DMN, although the specificity of this improvement to the cognitive task performed in the scanner is not clear.
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Affiliation(s)
- Ania Mikos
- University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Zurich, Switzerland
| | - Brigitta Malagurski
- University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Zurich, Switzerland
| | - Franziskus Liem
- University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Zurich, Switzerland
| | - Susan Mérillat
- University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Zurich, Switzerland
| | - Lutz Jäncke
- University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Zurich, Switzerland
- Division of Neuropsychology, Institute of Psychology, University of Zurich, Zurich, Switzerland
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39
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Sánchez-Izquierdo M, Fernández-Ballesteros R. Cognition in Healthy Aging. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:962. [PMID: 33499254 PMCID: PMC7908458 DOI: 10.3390/ijerph18030962] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 01/13/2021] [Accepted: 01/18/2021] [Indexed: 02/01/2023]
Abstract
The study of cognitive change across a life span, both in pathological and healthy samples, has been heavily influenced by developments in cognitive psychology as a theoretical paradigm, neuropsychology and other bio-medical fields; this alongside the increase in new longitudinal and cohort designs, complemented in the last decades by the evaluation of experimental interventions. Here, a review of aging databases was conducted, looking for the most relevant studies carried out on cognitive functioning in healthy older adults. The aim was to review not only longitudinal, cross-sectional or cohort studies, but also by intervention program evaluations. The most important studies, searching for long-term patterns of stability and change of cognitive measures across a life span and in old age, have shown a great range of inter-individual variability in cognitive functioning changes attributed to age. Furthermore, intellectual functioning in healthy individuals seems to decline rather late in life, if ever, as shown in longitudinal studies where age-related decline of cognitive functioning occurs later in life than indicated by cross-sectional studies. The longitudinal evidence and experimental trials have shown the benefits of aerobic physical exercise and an intellectually engaged lifestyle, suggesting that bio-psycho-socioenvironmental factors concurrently with age predict or determine both positive or negative change or stability in cognition in later life.
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40
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Tian Q, Bilgic B, Fan Q, Ngamsombat C, Zaretskaya N, Fultz NE, Ohringer NA, Chaudhari AS, Hu Y, Witzel T, Setsompop K, Polimeni JR, Huang SY. Improving in vivo human cerebral cortical surface reconstruction using data-driven super-resolution. Cereb Cortex 2021; 31:463-482. [PMID: 32887984 PMCID: PMC7727379 DOI: 10.1093/cercor/bhaa237] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 07/30/2020] [Accepted: 07/30/2020] [Indexed: 11/14/2022] Open
Abstract
Accurate and automated reconstruction of the in vivo human cerebral cortical surface from anatomical magnetic resonance (MR) images facilitates the quantitative analysis of cortical structure. Anatomical MR images with sub-millimeter isotropic spatial resolution improve the accuracy of cortical surface and thickness estimation compared to the standard 1-millimeter isotropic resolution. Nonetheless, sub-millimeter resolution acquisitions require averaging multiple repetitions to achieve sufficient signal-to-noise ratio and are therefore long and potentially vulnerable to subject motion. We address this challenge by synthesizing sub-millimeter resolution images from standard 1-millimeter isotropic resolution images using a data-driven supervised machine learning-based super-resolution approach achieved via a deep convolutional neural network. We systematically characterize our approach using a large-scale simulated dataset and demonstrate its efficacy in empirical data. The super-resolution data provide improved cortical surfaces similar to those obtained from native sub-millimeter resolution data. The whole-brain mean absolute discrepancy in cortical surface positioning and thickness estimation is below 100 μm at the single-subject level and below 50 μm at the group level for the simulated data, and below 200 μm at the single-subject level and below 100 μm at the group level for the empirical data, making the accuracy of cortical surfaces derived from super-resolution sufficient for most applications.
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Affiliation(s)
- Qiyuan Tian
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Berkin Bilgic
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Qiuyun Fan
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Chanon Ngamsombat
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
| | - Natalia Zaretskaya
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
- Department of Experimental Psychology and Cognitive Neuroscience, Institute of Psychology, University of Graz, Graz, Austria
- BioTechMed-Graz, Austria
| | - Nina E Fultz
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
| | - Ned A Ohringer
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
| | - Akshay S Chaudhari
- Radiological Sciences Laboratory, Department of Radiology, Stanford University, Stanford, CA, United States
| | - Yuxin Hu
- Radiological Sciences Laboratory, Department of Radiology, Stanford University, Stanford, CA, United States
| | - Thomas Witzel
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Kawin Setsompop
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Jonathan R Polimeni
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Susie Y Huang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
- Harvard Medical School, Boston, MA, United States
- Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States
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41
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Giroud N, Pichora-Fuller MK, Mick P, Wittich W, Al-Yawer F, Rehan S, Orange JB, Phillips NA. Hearing loss is associated with gray matter differences in older adults at risk for and with Alzheimer's disease. AGING BRAIN 2021; 1:100018. [PMID: 36911511 PMCID: PMC9997162 DOI: 10.1016/j.nbas.2021.100018] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 05/06/2021] [Accepted: 05/19/2021] [Indexed: 12/27/2022] Open
Abstract
Using data from the COMPASS-ND study we investigated associations between hearing loss and hippocampal volume as well as cortical thickness in older adults with subjective cognitive decline (SCD), mild cognitive impairment (MCI), and Alzheimer's dementia (AD). SCD participants with greater pure-tone hearing loss exhibited lower hippocampal volume, but more cortical thickness in the left superior temporal gyrus and right pars opercularis. Greater speech-in-noise reception thresholds were associated with lower cortical thickness bilaterally across much of the cortex in AD. The AD group also showed a trend towards worse speech-in-noise thresholds compared to the SCD group.
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Affiliation(s)
- N Giroud
- Department of Psychology, Centre for Research in Human Development, Concordia University, Montréal, Québec, Canada.,Centre for Research on Brain, Language, and Music, Montréal, Québec, Canada
| | - M K Pichora-Fuller
- Department of Psychology, University of Toronto, Mississauga, Ontario, Canada
| | - P Mick
- Department of Surgery, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - W Wittich
- School of Optometry, Université de Montréal, Montreal, Quebec, Canada
| | - F Al-Yawer
- Department of Psychology, Centre for Research in Human Development, Concordia University, Montréal, Québec, Canada
| | - S Rehan
- Department of Psychology, Centre for Research in Human Development, Concordia University, Montréal, Québec, Canada
| | - J B Orange
- School of Communication Sciences and Disorders, Western University, London, Canada
| | - N A Phillips
- Department of Psychology, Centre for Research in Human Development, Concordia University, Montréal, Québec, Canada.,Centre for Research on Brain, Language, and Music, Montréal, Québec, Canada.,Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada
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42
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Thana-Udom K, Siddarth P, Miller KJ, Dunkin JJ, Small GW, Ercoli LM. The Effect of Memory Training on Memory Control Beliefs in Older Adults with Subjective Memory Complaints. Exp Aging Res 2020; 47:131-144. [PMID: 33357089 DOI: 10.1080/0361073x.2020.1861841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Objective: To study whether memory control beliefs predict response to memory training, or change as a result of participating in memory training. Methods: Eighty community based participants with subjective memory complaints Community-based study at UCLA were randomized to one of three conditions: Memory Training, the program consisted of weekly 120-minute classes featuring instruction in three specific strategies: Method of Loci; Chunking Technique; and Face-Name Association, Health Education or Wait-List over seven weeks. All participants underwent pre- and 1-week post-intervention follow-up memory testing for recalling word lists (in serial order and any order) and face-name pairs. Memory control beliefs were assessed at baseline and follow-up using the Memory Controllability Inventory, which consists of four subscales; Present Ability; Potential Improvement; Effort Utility; and Inevitable Decrement. Results: Sixty-three participants (mean age [SD] 68.3 [6.7] years) were included in the analysis. ANCOVA revealed significant group differences in the Present Ability subscale, F2,58 = 4.93, p =.01. Participants in the Memory Training group significantly improved on the Present Ability subscale compared to the Health Education group (mean difference =.96, SE =.31, p =.003, effect size = 0.93). From regression analyses, baseline Memory Controllability Inventory subscales did not significantly predict memory performance after memory training. Conclusions: Baseline memory control beliefs did not predict memory performance following the intervention, but participating in memory training enhanced memory control beliefs about current memory function. These results suggest that participating in memory training can enhance confidence in one's memory ability.
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Affiliation(s)
- Kitikan Thana-Udom
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehaviroal Sciences at the David Geffen School of Medicine, UCLA , Los Angeles, CA, USA.,Department of Psychiatry, Faculty of Medicine Siriraj Hospital, Mahidol University , Bangkok, Thailand
| | - Prabha Siddarth
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehaviroal Sciences at the David Geffen School of Medicine, UCLA , Los Angeles, CA, USA
| | - Karen J Miller
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehaviroal Sciences at the David Geffen School of Medicine, UCLA , Los Angeles, CA, USA.,UCLA Longevity Center , Los Angeles, CA, USA
| | | | - Gary W Small
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehaviroal Sciences at the David Geffen School of Medicine, UCLA , Los Angeles, CA, USA.,UCLA Longevity Center , Los Angeles, CA, USA
| | - Linda M Ercoli
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehaviroal Sciences at the David Geffen School of Medicine, UCLA , Los Angeles, CA, USA.,UCLA Longevity Center , Los Angeles, CA, USA
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43
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The effects of cognitive training on the topological properties of brain structural network among community-dwelling older adults. J Clin Neurosci 2020; 83:77-82. [PMID: 33341367 DOI: 10.1016/j.jocn.2020.11.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 09/27/2020] [Accepted: 11/23/2020] [Indexed: 11/21/2022]
Abstract
Increased number of neuroimaging studies has revealed association between age-related cognitive decline and alterations in the architecture of brain networks, while trials consistently confirmed benefits following cognitive training in the elderly. As a consequence, the present study aimed to investigate the potential moderating role of topological properties in brain structural network on training benefits. Among 32 community-dwelling older adults, 18 were randomly assigned to the training group to receive 24 sessions of multi-domain cognitive training (MDCT) over 12 weeks, and 14 to the control group. At baseline and 12-month follow-up, diffusion tensor imaging was acquired to construct the brain structural network, and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and the Visual Reasoning Test (VRT) were performed to assess cognitive functions. Compared with controls, participants received MDCT achieved significant larger gain in terms of delayed memory with a trend of better global cognitive function. In addition, Sigma coefficient of small-worldness were reduced in the MDCT group relative to the control group. Correlation between changes in Sigma and in delayed memory index were found among controls, however, not among older adults received MDCT. Our results demonstrated the modulating effects of cognitive training on the small-world architecture of brain structural network. And the present study suggested a trade-off mechanism underlying the benefits of cognitive training among aged people, where brain sacrificed its cost-effectiveness of network wiring for better cognitive functions.
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44
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Miró-Padilla A, Bueichekú E, Adrián-Ventura J, Costumero V, Palomar-García MÁ, Villar-Rodríguez E, Marin-Marin L, Aguirre N, Ávila C. Sustained and transient gray matter volume changes after n-back training: A VBM study. Neurobiol Learn Mem 2020; 178:107368. [PMID: 33348048 DOI: 10.1016/j.nlm.2020.107368] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 11/30/2020] [Accepted: 12/15/2020] [Indexed: 11/19/2022]
Abstract
Working memory training causes functional adaptations in the brain, which include changes in activation and functional connectivity that remain stable over time. Few studies have investigated gray matter (GM) changes after working memory training, and they have produced heterogeneous results without clarifying the stable effects of training. The present study was designed to test for sustained and transient anatomic changes after only 200 min of working memory training. The voxel-based morphometry technique was used in order to investigate the GM changes produced by a brief single n-back training, immediately and 5 weeks after finishing it. The sample was composed by 59 human participants who underwent MRI scanning and were assigned to either a training group or a passive control group. Results showed sustained GM volume enlargement in the right superior parietal cortex and a transient GM decrease in the right putamen. The brain adaptation in the right superior parietal cortex was stronger in individuals who showed greater improvements in performance. The results provide further evidence that a brief working memory training is able to produce brain plasticity in structures related to the trained task.
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Affiliation(s)
- Anna Miró-Padilla
- Neuropsychology and Functional Neuroimaging Group, Department of Basic Psychology, Clinical Psychology and Psychobiology, Universitat Jaume I, Castelló de la Plana, Spain.
| | - Elisenda Bueichekú
- Neuropsychology and Functional Neuroimaging Group, Department of Basic Psychology, Clinical Psychology and Psychobiology, Universitat Jaume I, Castelló de la Plana, Spain.
| | - Jesús Adrián-Ventura
- Neuropsychology and Functional Neuroimaging Group, Department of Basic Psychology, Clinical Psychology and Psychobiology, Universitat Jaume I, Castelló de la Plana, Spain.
| | - Víctor Costumero
- Center for Brain and Cognition, Pompeu Fabra University, Barcelona, Spain.
| | - María-Ángeles Palomar-García
- Neuropsychology and Functional Neuroimaging Group, Department of Basic Psychology, Clinical Psychology and Psychobiology, Universitat Jaume I, Castelló de la Plana, Spain.
| | - Esteban Villar-Rodríguez
- Neuropsychology and Functional Neuroimaging Group, Department of Basic Psychology, Clinical Psychology and Psychobiology, Universitat Jaume I, Castelló de la Plana, Spain.
| | - Lidón Marin-Marin
- Neuropsychology and Functional Neuroimaging Group, Department of Basic Psychology, Clinical Psychology and Psychobiology, Universitat Jaume I, Castelló de la Plana, Spain.
| | - Naiara Aguirre
- Neuropsychology and Functional Neuroimaging Group, Department of Basic Psychology, Clinical Psychology and Psychobiology, Universitat Jaume I, Castelló de la Plana, Spain.
| | - César Ávila
- Neuropsychology and Functional Neuroimaging Group, Department of Basic Psychology, Clinical Psychology and Psychobiology, Universitat Jaume I, Castelló de la Plana, Spain.
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45
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Vidal-Pineiro D, Parker N, Shin J, French L, Grydeland H, Jackowski AP, Mowinckel AM, Patel Y, Pausova Z, Salum G, Sørensen Ø, Walhovd KB, Paus T, Fjell AM. Cellular correlates of cortical thinning throughout the lifespan. Sci Rep 2020; 10:21803. [PMID: 33311571 PMCID: PMC7732849 DOI: 10.1038/s41598-020-78471-3] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 11/13/2020] [Indexed: 01/11/2023] Open
Abstract
Cortical thinning occurs throughout the entire life and extends to late-life neurodegeneration, yet the neurobiological substrates are poorly understood. Here, we used a virtual-histology technique and gene expression data from the Allen Human Brain Atlas to compare the regional profiles of longitudinal cortical thinning through life (4004 magnetic resonance images [MRIs]) with those of gene expression for several neuronal and non-neuronal cell types. The results were replicated in three independent datasets. We found that inter-regional profiles of cortical thinning related to expression profiles for marker genes of CA1 pyramidal cells, astrocytes and, microglia during development and in aging. During the two stages of life, the relationships went in opposite directions: greater gene expression related to less thinning in development and vice versa in aging. The association between cortical thinning and cell-specific gene expression was also present in mild cognitive impairment and Alzheimer's Disease. These findings suggest a role of astrocytes and microglia in promoting and supporting neuronal growth and dendritic structures through life that affects cortical thickness during development, aging, and neurodegeneration. Overall, the findings contribute to our understanding of the neurobiology underlying variations in MRI-derived estimates of cortical thinning through life and late-life disease.
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Affiliation(s)
- Didac Vidal-Pineiro
- Centre for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Pb. 1094 Blindern, 0317, Oslo, Norway
| | - Nadine Parker
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, M4G 1R8, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Jean Shin
- The Hospital for Sick Children, University of Toronto, Toronto, ON, M5G 1X8, Canada
| | - Leon French
- Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, M5T 1L8, Canada
| | - Håkon Grydeland
- Centre for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Pb. 1094 Blindern, 0317, Oslo, Norway
| | - Andrea P Jackowski
- Interdisciplinary Lab for Clinical Neurosciences (LiNC), University Federal of São Paulo, São Paulo, 04038-020, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, 90035-003, Brazil
| | - Athanasia M Mowinckel
- Centre for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Pb. 1094 Blindern, 0317, Oslo, Norway
| | - Yash Patel
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, M4G 1R8, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Zdenka Pausova
- The Hospital for Sick Children, University of Toronto, Toronto, ON, M5G 1X8, Canada
| | - Giovanni Salum
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, 90035-003, Brazil
- Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, 90035-003, Brazil
| | - Øystein Sørensen
- Centre for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Pb. 1094 Blindern, 0317, Oslo, Norway
| | - Kristine B Walhovd
- Centre for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Pb. 1094 Blindern, 0317, Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0450, Oslo, Norway
| | - Tomas Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, M4G 1R8, Canada.
- Institute of Medical Science, University of Toronto, Toronto, ON, M5S 1A8, Canada.
- Departments of Psychology and Psychiatry, University of Toronto, 250 College Street, Toronto, ON, M5T 1R8, Canada.
| | - Anders M Fjell
- Centre for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Pb. 1094 Blindern, 0317, Oslo, Norway.
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0450, Oslo, Norway.
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46
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Matuszewski J, Kossowski B, Bola Ł, Banaszkiewicz A, Paplińska M, Gyger L, Kherif F, Szwed M, Frackowiak RS, Jednoróg K, Draganski B, Marchewka A. Brain plasticity dynamics during tactile Braille learning in sighted subjects: Multi-contrast MRI approach. Neuroimage 2020; 227:117613. [PMID: 33307223 DOI: 10.1016/j.neuroimage.2020.117613] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 11/20/2020] [Accepted: 11/29/2020] [Indexed: 01/11/2023] Open
Abstract
A growing body of empirical evidence supports the notion of diverse neurobiological processes underlying learning-induced plasticity changes in the human brain. There are still open questions about how brain plasticity depends on cognitive task complexity, how it supports interactions between brain systems and with what temporal and spatial trajectory. We investigated brain and behavioural changes in sighted adults during 8-months training of tactile Braille reading whilst monitoring brain structure and function at 5 different time points. We adopted a novel multivariate approach that includes behavioural data and specific MRI protocols sensitive to tissue properties to assess local functional and structural and myelin changes over time. Our results show that while the reading network, located in the ventral occipitotemporal cortex, rapidly adapts to tactile input, sensory areas show changes in grey matter volume and intra-cortical myelin at different times. This approach has allowed us to examine and describe neuroplastic mechanisms underlying complex cognitive systems and their (sensory) inputs and (motor) outputs differentially, at a mesoscopic level.
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Affiliation(s)
- Jacek Matuszewski
- Laboratory of Brain Imaging, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
| | - Bartosz Kossowski
- Laboratory of Brain Imaging, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Łukasz Bola
- Laboratory of Brain Imaging, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland; Institute of Psychology, Jagiellonian University, Krakow, Poland
| | - Anna Banaszkiewicz
- Laboratory of Brain Imaging, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | | | - Lucien Gyger
- LREN, Department for Clinical Neurosciences, CHUV, University of Lausanne, Lausanne, Switzerland
| | - Ferath Kherif
- LREN, Department for Clinical Neurosciences, CHUV, University of Lausanne, Lausanne, Switzerland
| | - Marcin Szwed
- Institute of Psychology, Jagiellonian University, Krakow, Poland
| | | | - Katarzyna Jednoróg
- Laboratory of Language Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Bogdan Draganski
- LREN, Department for Clinical Neurosciences, CHUV, University of Lausanne, Lausanne, Switzerland; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Artur Marchewka
- Laboratory of Brain Imaging, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
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47
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Walhovd KB, Bråthen ACS, Panizzon MS, Mowinckel AM, Sørensen Ø, de Lange AMG, Krogsrud SK, Håberg A, Franz CE, Kremen WS, Fjell AM. Within-session verbal learning slope is predictive of lifespan delayed recall, hippocampal volume, and memory training benefit, and is heritable. Sci Rep 2020; 10:21158. [PMID: 33273630 PMCID: PMC7713377 DOI: 10.1038/s41598-020-78225-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Accepted: 11/12/2020] [Indexed: 11/09/2022] Open
Abstract
Memory performance results from plasticity, the ability to change with experience. We show that benefit from practice over a few trials, learning slope, is predictive of long-term recall and hippocampal volume across a broad age range and a long period of time, relates to memory training benefit, and is heritable. First, in a healthy lifespan sample (n = 1825, age 4-93 years), comprising 3483 occasions of combined magnetic resonance imaging (MRI) scans and memory tests over a period of up to 11 years, learning slope across 5 trials was uniquely related to performance on a delayed free recall test, as well as hippocampal volume, independent from first trial memory or total memory performance across the five learning trials. Second, learning slope was predictive of benefit from memory training across ten weeks in an experimental subsample of adults (n = 155). Finally, in an independent sample of male twins (n = 1240, age 51-50 years), learning slope showed significant heritability. Within-session learning slope may be a useful marker beyond performance per se, being heritable and having unique predictive value for long-term memory function, hippocampal volume and training benefit across the human lifespan.
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Affiliation(s)
- Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway.
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Rikshospitalet, Norway.
| | - Anne Cecilie Sjøli Bråthen
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway
| | - Matthew S Panizzon
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, USA
| | - Athanasia M Mowinckel
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway
| | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway
| | - Ann-Marie G de Lange
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway
- Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Stine Kleppe Krogsrud
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway
| | - Asta Håberg
- Department of Neuroscience, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Carol E Franz
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, USA
| | - William S Kremen
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California, San Diego, USA
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, POB 1094, 0317, Oslo, Norway
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Rikshospitalet, Norway
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48
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Walhovd KB, Amlien I, Schrantee A, Rohani DA, Groote I, Bjørnerud A, Fjell AM, Reneman L. Methylphenidate Effects on Cortical Thickness in Children and Adults with Attention-Deficit/Hyperactivity Disorder: A Randomized Clinical Trial. AJNR Am J Neuroradiol 2020; 41:758-765. [PMID: 32414901 DOI: 10.3174/ajnr.a6560] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Accepted: 04/08/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Although methylphenidate is frequently used to treat children with attention-deficit/hyperactivity disorder, it is currently unknown how methylphenidate affects brain development. In a randomized controlled trial, we investigated whether the cortical effects of methylphenidate are modulated by age. MATERIALS AND METHODS Between June 1, 2011, and June 15, 2015, we conducted a randomized, double-blind, placebo-controlled trial (Effects of Psychotropic Drugs on Developing Brain-Methylphenidate) in 99 males with attention-deficit/hyperactivity disorder (according to Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, criteria) from referral centers in the greater Amsterdam area in the Netherlands. The trial was registered on March 24, 2011 (identifier NL34509.000.10) and subsequently at the Netherlands National Trial Register (identifier NTR3103). Participants (first enrolled October 13, 2011) were 10-12 years or 23-40 years of age and randomized to treatment with either methylphenidate or a placebo for 16 weeks. Our main outcome was a change in cortical thickness in predefined ROIs as measured by MR imaging pre- and posttreatment. RESULTS We observed a time × medication × age interaction (F[1,88.825] = 4.316, P < .05) for the right medial cortex ROI, where methylphenidate treatment yielded less cortical thinning in children, but not in adults or the placebo groups. CONCLUSIONS Our finding that the effects of methylphenidate on right medial cortical thickness differ between children and adults infers that the drug affects gray matter development in this brain region. This warrants replication in larger groups with longer follow-up to determine whether this effect can also be observed in other cortical brain regions and whether it may have long-term consequences.
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Affiliation(s)
- K B Walhovd
- From the Department of Psychology (K.B.W., I.A., D.A.R., A.B., A.M.F.), Center for Lifespan Changes in Brain and Cognition.,Departments of Radiology and Nuclear Medicine (K.B.W., A.M.F.)
| | - I Amlien
- From the Department of Psychology (K.B.W., I.A., D.A.R., A.B., A.M.F.), Center for Lifespan Changes in Brain and Cognition
| | - A Schrantee
- Department of Radiology and Nuclear Medicine (A.S., A.B., L.R.), Amsterdam UMC, Academic Medical Center, Amsterdam, the Netherlands
| | - D A Rohani
- From the Department of Psychology (K.B.W., I.A., D.A.R., A.B., A.M.F.), Center for Lifespan Changes in Brain and Cognition
| | - I Groote
- Diagnostic Physics (I.G., A.B.), Oslo University Hospital, Oslo, Norway
| | - A Bjørnerud
- From the Department of Psychology (K.B.W., I.A., D.A.R., A.B., A.M.F.), Center for Lifespan Changes in Brain and Cognition.,Institute of Physics (A.B.), Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.,Diagnostic Physics (I.G., A.B.), Oslo University Hospital, Oslo, Norway.,Department of Radiology and Nuclear Medicine (A.S., A.B., L.R.), Amsterdam UMC, Academic Medical Center, Amsterdam, the Netherlands
| | - A M Fjell
- From the Department of Psychology (K.B.W., I.A., D.A.R., A.B., A.M.F.), Center for Lifespan Changes in Brain and Cognition.,Departments of Radiology and Nuclear Medicine (K.B.W., A.M.F.)
| | - L Reneman
- Department of Radiology and Nuclear Medicine (A.S., A.B., L.R.), Amsterdam UMC, Academic Medical Center, Amsterdam, the Netherlands.
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49
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James CE, Altenmüller E, Kliegel M, Krüger THC, Van De Ville D, Worschech F, Abdili L, Scholz DS, Jünemann K, Hering A, Grouiller F, Sinke C, Marie D. Train the brain with music (TBM): brain plasticity and cognitive benefits induced by musical training in elderly people in Germany and Switzerland, a study protocol for an RCT comparing musical instrumental practice to sensitization to music. BMC Geriatr 2020; 20:418. [PMID: 33087078 PMCID: PMC7576734 DOI: 10.1186/s12877-020-01761-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 09/08/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Recent data suggest that musical practice prevents age-related cognitive decline. But experimental evidence remains sparse and no concise information on the neurophysiological bases exists, although cognitive decline represents a major impediment to healthy aging. A challenge in the field of aging is developing training regimens that stimulate neuroplasticity and delay or reverse symptoms of cognitive and cerebral decline. To be successful, these regimens should be easily integrated in daily life and intrinsically motivating. This study combines for the first-time protocolled music practice in elderly with cutting-edge neuroimaging and behavioral approaches, comparing two types of musical education. METHODS We conduct a two-site Hannover-Geneva randomized intervention study in altogether 155 retired healthy elderly (64-78) years, (63 in Geneva, 92 in Hannover), offering either piano instruction (experimental group) or musical listening awareness (control group). Over 12 months all participants receive weekly training for 1 hour, and exercise at home for ~ 30 min daily. Both groups study different music styles. Participants are tested at 4 time points (0, 6, and 12 months & post-training (18 months)) on cognitive and perceptual-motor aptitudes as well as via wide-ranging functional and structural neuroimaging and blood sampling. DISCUSSION We aim to demonstrate positive transfer effects for faculties traditionally described to decline with age, particularly in the piano group: executive functions, working memory, processing speed, abstract thinking and fine motor skills. Benefits in both groups may show for verbal memory, hearing in noise and subjective well-being. In association with these behavioral benefits we anticipate functional and structural brain plasticity in temporal (medial and lateral), prefrontal and parietal areas and the basal ganglia. We intend exhibiting for the first time that musical activities can provoke important societal impacts by diminishing cognitive and perceptual-motor decline supported by functional and structural brain plasticity. TRIAL REGISTRATION The Ethikkomission of the Leibniz Universität Hannover approved the protocol on 14.08.17 (no. 3604-2017), the neuroimaging part and blood sampling was approved by the Hannover Medical School on 07.03.18. The full protocol was approved by the Commission cantonale d'éthique de la recherche de Genève (no. 2016-02224) on 27.02.18 and registered at clinicaltrials.gov on 17.09.18 ( NCT03674931 , no. 81185).
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Affiliation(s)
- Clara E James
- Geneva School of Health Sciences, Geneva Musical Minds Lab (GEMMI Lab), University of Applied Sciences and Arts Western Switzerland HES-SO, Avenue de Champel 47, 1206, Geneva, Switzerland. .,Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard du Pont-d'Arve 40, 1205, Geneva, Switzerland.
| | - Eckart Altenmüller
- Institute for Music Physiology and Musicians' Medecine, Hannover University of Music, Drama and Media, Neues Haus 1, 30175, Hannover, Germany.,Center for Systems Neuroscience, Bünteweg 2, 30559, Hannover, Germany
| | - Matthias Kliegel
- Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard du Pont-d'Arve 40, 1205, Geneva, Switzerland.,Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Switzerland, Boulevard du Pont d'Arve 28, 1205, Genève, Switzerland
| | - Tillmann H C Krüger
- Center for Systems Neuroscience, Bünteweg 2, 30559, Hannover, Germany.,Department of Psychiatry, Social Psychiatry and Psychotherapy, Section of Clinical Psychology & Sexual Medicine, Hannover Medical School, Centre of Mental Health, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Dimitri Van De Ville
- Swiss Federal Institute of Technology Lausanne (EPFL), Route Cantonale, 1015, Lausanne, Switzerland.,Faculty of Medecine of the University of Geneva, Switzerland, Campus Biotech, Chemin des Mines 9, 1211, Geneva, Switzerland
| | - Florian Worschech
- Institute for Music Physiology and Musicians' Medecine, Hannover University of Music, Drama and Media, Neues Haus 1, 30175, Hannover, Germany.,Center for Systems Neuroscience, Bünteweg 2, 30559, Hannover, Germany
| | - Laura Abdili
- Geneva School of Health Sciences, Geneva Musical Minds Lab (GEMMI Lab), University of Applied Sciences and Arts Western Switzerland HES-SO, Avenue de Champel 47, 1206, Geneva, Switzerland
| | - Daniel S Scholz
- Institute for Music Physiology and Musicians' Medecine, Hannover University of Music, Drama and Media, Neues Haus 1, 30175, Hannover, Germany.,Center for Systems Neuroscience, Bünteweg 2, 30559, Hannover, Germany
| | - Kristin Jünemann
- Center for Systems Neuroscience, Bünteweg 2, 30559, Hannover, Germany.,Department of Psychiatry, Social Psychiatry and Psychotherapy, Section of Clinical Psychology & Sexual Medicine, Hannover Medical School, Centre of Mental Health, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Alexandra Hering
- Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard du Pont-d'Arve 40, 1205, Geneva, Switzerland.,Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Switzerland, Boulevard du Pont d'Arve 28, 1205, Genève, Switzerland
| | - Frédéric Grouiller
- Swiss Center for Affective Sciences, University of Geneva, 1205 Geneva, Switzerland. Campus Biotech, Chemin des Mines 9, 1202, Geneva, Switzerland
| | - Christopher Sinke
- Center for Systems Neuroscience, Bünteweg 2, 30559, Hannover, Germany.,Department of Psychiatry, Social Psychiatry and Psychotherapy, Section of Clinical Psychology & Sexual Medicine, Hannover Medical School, Centre of Mental Health, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
| | - Damien Marie
- Geneva School of Health Sciences, Geneva Musical Minds Lab (GEMMI Lab), University of Applied Sciences and Arts Western Switzerland HES-SO, Avenue de Champel 47, 1206, Geneva, Switzerland
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50
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Fjell AM, Chen CH, Sederevicius D, Sneve MH, Grydeland H, Krogsrud SK, Amlien I, Ferschmann L, Ness H, Folvik L, Beck D, Mowinckel AM, Tamnes CK, Westerhausen R, Håberg AK, Dale AM, Walhovd KB. Continuity and Discontinuity in Human Cortical Development and Change From Embryonic Stages to Old Age. Cereb Cortex 2020; 29:3879-3890. [PMID: 30357317 DOI: 10.1093/cercor/bhy266] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 08/28/2018] [Indexed: 11/12/2022] Open
Abstract
The human cerebral cortex is highly regionalized, and this feature emerges from morphometric gradients in the cerebral vesicles during embryonic development. We tested if this principle of regionalization could be traced from the embryonic development to the human life span. Data-driven fuzzy clustering was used to identify regions of coordinated longitudinal development of cortical surface area (SA) and thickness (CT) (n = 301, 4-12 years). The principal divide for the developmental SA clusters extended from the inferior-posterior to the superior-anterior cortex, corresponding to the major embryonic morphometric anterior-posterior (AP) gradient. Embryonic factors showing a clear AP gradient were identified, and we found significant differences in gene expression of these factors between the anterior and posterior clusters. Further, each identified developmental SA and CT clusters showed distinguishable life span trajectories in a larger longitudinal dataset (4-88 years, 1633 observations), and the SA and CT clusters showed differential relationships to cognitive functions. This means that regions that developed together in childhood also changed together throughout life, demonstrating continuity in regionalization of cortical changes. The AP divide in SA development also characterized genetic patterning obtained in an adult twin sample. In conclusion, the development of cortical regionalization is a continuous process from the embryonic stage throughout life.
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Affiliation(s)
- Anders M Fjell
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Chi-Hua Chen
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | - Donatas Sederevicius
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Markus H Sneve
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Håkon Grydeland
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Stine K Krogsrud
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Inge Amlien
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Lia Ferschmann
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Hedda Ness
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Line Folvik
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Dani Beck
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Athanasia M Mowinckel
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Christian K Tamnes
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - René Westerhausen
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Asta K Håberg
- Department of Medical Imaging, St. Olav's Hospital, Trondheim, Norway.,Department of Neuroscience, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Anders M Dale
- Department of Radiology, University of California, San Diego, La Jolla, CA, USA.,Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Kristine B Walhovd
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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