1
|
Fehr T, Mehrens S, Haag MC, Amelung A, Gloy K. Changes in Spatiotemporal Dynamics of Default Network Oscillations between 19 and 29 Years of Age. Brain Sci 2024; 14:671. [PMID: 39061412 PMCID: PMC11274777 DOI: 10.3390/brainsci14070671] [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: 04/24/2024] [Revised: 06/15/2024] [Accepted: 06/20/2024] [Indexed: 07/28/2024] Open
Abstract
The exploration of functional resting-state brain developmental parameters and measures can help to improve scientific, psychological, and medical applications. The present work focussed on both traditional approaches, such as topographical power analyses at the signal space level, and advanced approaches, such as the exploration of age-related dynamics of source space data. The results confirmed the expectation that the third life decade would show a kind of stability in oscillatory signal and source-space-related parameters. However, from a source dynamics perspective, different frequency ranges appear to develop quite differently, as reflected in age-related sequential network communication profiles. Among other discoveries, the left anterior cingulate source location could be shown to reduce bi-directional network communication in the lower alpha band, whereas it differentiated its uni- and bidirectional communication dynamics to sub-cortical and posterior brain locations. Higher alpha oscillations enhanced communication dynamics between the thalamus and particularly frontal areas. In conclusion, resting-state data appear to be, at least in part, functionally reorganized in the default mode network, while quantitative measures, such as topographical power and regional source activity, did not correlate with age in the third life decade. In line with other authors, we suggest the further development of a multi-perspective approach in biosignal analyses.
Collapse
Affiliation(s)
- Thorsten Fehr
- Institute for Psychology, University of Bremen, 28357 Bremen, Germany (K.G.)
- Center for Advanced Imaging, University of Bremen, 28357 Bremen, Germany
| | - Sophia Mehrens
- Institute for Psychology, University of Bremen, 28357 Bremen, Germany (K.G.)
| | | | - Anneke Amelung
- Institute for Psychology, University of Bremen, 28357 Bremen, Germany (K.G.)
| | - Kilian Gloy
- Institute for Psychology, University of Bremen, 28357 Bremen, Germany (K.G.)
| |
Collapse
|
2
|
Graves AJ, Danoff JS, Kim M, Brindley SR, Skyberg AM, Giamberardino SN, Lynch ME, Straka BC, Lillard TS, Gregory SG, Connelly JJ, Morris JP. Accelerated epigenetic age is associated with whole-brain functional connectivity and impaired cognitive performance in older adults. Sci Rep 2024; 14:9646. [PMID: 38671048 PMCID: PMC11053089 DOI: 10.1038/s41598-024-60311-3] [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: 01/05/2024] [Accepted: 04/21/2024] [Indexed: 04/28/2024] Open
Abstract
While chronological age is a strong predictor for health-related risk factors, it is an incomplete metric that fails to fully characterize the unique aging process of individuals with different genetic makeup, neurodevelopment, and environmental experiences. Recent advances in epigenomic array technologies have made it possible to generate DNA methylation-based biomarkers of biological aging, which may be useful in predicting a myriad of cognitive abilities and functional brain network organization across older individuals. It is currently unclear which cognitive domains are negatively correlated with epigenetic age above and beyond chronological age, and it is unknown if functional brain organization is an important mechanism for explaining these associations. In this study, individuals with accelerated epigenetic age (i.e. AgeAccelGrim) performed worse on tasks that spanned a wide variety of cognitive faculties including both fluid and crystallized intelligence (N = 103, average age = 68.98 years, 73 females, 30 males). Additionally, fMRI connectome-based predictive models suggested a mediating mechanism of functional connectivity on epigenetic age acceleration-cognition associations primarily in medial temporal lobe and limbic structures. This research highlights the important role of epigenetic aging processes on the development and maintenance of healthy cognitive capacities and function of the aging brain.
Collapse
Affiliation(s)
| | | | - Minah Kim
- University of Virginia, Charlottesville, USA
| | | | | | | | | | | | | | | | | | | |
Collapse
|
3
|
Stöffel T, Vaqué-Alcázar L, Bartrés-Faz D, Peró-Cebollero M, Cañete-Massé C, Guàrdia-Olmos J. Reduced default mode network effective connectivity in healthy aging is modulated by years of education. Neuroimage 2024; 288:120532. [PMID: 38331332 DOI: 10.1016/j.neuroimage.2024.120532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 01/20/2024] [Accepted: 02/06/2024] [Indexed: 02/10/2024] Open
Abstract
Aging is a major risk factor for neurodegenerative diseases like dementia and Alzheimer's disease. Even in non-pathological aging, decline in cognitive functioning is observed in the majority of the elderly population, necessitating the importance of studying the processes involved in healthy aging in order to identify brain biomarkers that promote the conservation of functioning. The default mode network (DMN) has been of special interest to aging research due to its vulnerability to atrophy and functional decline over the course of aging. Prior work has focused almost exclusively on functional (i.e. undirected) connectivity, yet converging findings are scarce. Therefore, we set out to use spectral dynamic causal modeling to investigate changes in the effective (i.e. directed) connectivity within the DMN and to discover changes in information flow in a sample of cognitively normal adults spanning from 48 to 89 years (n = 63). Age was associated to reduced verbal memory performance. Modeling of effective connectivity revealed a pattern of age-related downregulation of posterior DMN regions driven by inhibitory connections from the hippocampus and middle temporal gyrus. Additionally, there was an observed decline in the hippocampus' susceptibility to network inputs with age, effectively disconnecting itself from other regions. The estimated effective connectivity parameters were robust and able to predict the age in out of sample estimates in a leave-one-out cross-validation. Attained education moderated the effects of aging, largely reversing the observed pattern of inhibitory connectivity. Thus, medial prefrontal cortex, hippocampus and posterior DMN regions formed an excitatory cycle of extrinsic connections related to the interaction of age and education. This suggests a compensatory role of years of education in effective connectivity, stressing a possible target for interventions. Our findings suggest a connection to the concept of cognitive reserve, which attributes a protective effect of educational level on cognitive decline in aging (Stern, 2009).
Collapse
Affiliation(s)
- Tibor Stöffel
- Department of Social Psychology and Quantitative Psychology, Faculty of Psychology, Universitat de Barcelona, Barcelona 08035, Spain; Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2 (UZA II), Vienna 1090, Austria.
| | - Lídia Vaqué-Alcázar
- Department of Medicine, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona 08036, Spain; Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona 08036, Spain
| | - David Bartrés-Faz
- Department of Medicine, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona 08036, Spain; Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona 08036, Spain
| | - Maribel Peró-Cebollero
- Department of Social Psychology and Quantitative Psychology, Faculty of Psychology, Universitat de Barcelona, Barcelona 08035, Spain; UB Institute of Complex Systems, Universitat de Barcelona, Barcelona 08028, Spain; Institute of Neurosciences, Universitat de Barcelona, Barcelona 08035, Spain
| | - Cristina Cañete-Massé
- Department of Social Psychology and Quantitative Psychology, Faculty of Psychology, Universitat de Barcelona, Barcelona 08035, Spain; Institute of Neurosciences, Universitat de Barcelona, Barcelona 08035, Spain
| | - Joan Guàrdia-Olmos
- Department of Social Psychology and Quantitative Psychology, Faculty of Psychology, Universitat de Barcelona, Barcelona 08035, Spain; UB Institute of Complex Systems, Universitat de Barcelona, Barcelona 08028, Spain; Institute of Neurosciences, Universitat de Barcelona, Barcelona 08035, Spain
| |
Collapse
|
4
|
Golestani AM, Chen JJ. Comparing data-driven physiological denoising approaches for resting-state fMRI: implications for the study of aging. Front Neurosci 2024; 18:1223230. [PMID: 38379761 PMCID: PMC10876882 DOI: 10.3389/fnins.2024.1223230] [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: 05/15/2023] [Accepted: 01/17/2024] [Indexed: 02/22/2024] Open
Abstract
Introduction Physiological nuisance contributions by cardiac and respiratory signals have a significant impact on resting-state fMRI data quality. As these physiological signals are often not recorded, data-driven denoising methods are commonly used to estimate and remove physiological noise from fMRI data. To investigate the efficacy of these denoising methods, one of the first steps is to accurately capture the cardiac and respiratory signals, which requires acquiring fMRI data with high temporal resolution. Methods In this study, we used such high-temporal resolution fMRI data to evaluate the effectiveness of several data-driven denoising methods, including global-signal regression (GSR), white matter and cerebrospinal fluid regression (WM-CSF), anatomical (aCompCor) and temporal CompCor (tCompCor), ICA-AROMA. Our analysis focused on the consequence of changes in low-frequency, cardiac and respiratory signal power, as well as age-related differences in terms of functional connectivity (fcMRI). Results Our results confirm that the ICA-AROMA and GSR removed the most physiological noise but also more low-frequency signals. These methods are also associated with substantially lower age-related fcMRI differences. On the other hand, aCompCor and tCompCor appear to be better at removing high-frequency physiological signals but not low-frequency signal power. These methods are also associated with relatively higher age-related fcMRI differences, whether driven by neuronal signal or residual artifact. These results were reproduced in data downsampled to represent conventional fMRI sampling frequency. Lastly, methods differ in performance depending on the age group. Discussion While this study cautions direct comparisons of fcMRI results based on different denoising methods in the study of aging, it also enhances the understanding of different denoising methods in broader fcMRI applications.
Collapse
Affiliation(s)
- Ali M. Golestani
- Department of Physics and Astronomy, University of Calgary, Calgary, AB, Canada
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - J. Jean Chen
- Rotman Research Institute at Baycrest, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Department of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
5
|
Zhang X, Tremblay P. Aging of Amateur Singers and Non-singers: From Behavior to Resting-state Connectivity. J Cogn Neurosci 2023; 35:2049-2066. [PMID: 37788320 DOI: 10.1162/jocn_a_02065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Healthy aging is associated with extensive changes in brain structure and physiology, with impacts on cognition and communication. The "mental exercise hypothesis" proposes that certain lifestyle factors such as singing-perhaps the most universal and accessible music-making activity-can affect cognitive functioning and reduce cognitive decline in aging, but the neuroplastic mechanisms involved remain unclear. To address this question, we examined the association between age and resting-state functional connectivity (RSFC) in 84 healthy singers and nonsingers in five networks (auditory, speech, language, default mode, and dorsal attention) and its relationship to auditory cognitive aging. Participants underwent cognitive testing and fMRI. Our results show that RSFC is not systematically lower with aging and that connectivity patterns vary between singers and nonsingers. Furthermore, our results show that RSFC of the precuneus in the default mode network was associated with auditory cognition. In these regions, lower RSFC was associated with better auditory cognitive performance for both singers and nonsingers. Our results show, for the first time, that basic brain physiology differs in singers and nonsingers and that some of these differences are associated with cognitive performance.
Collapse
Affiliation(s)
- Xiyue Zhang
- Université Laval, Québec City, Canada
- CERVO Brain Research Center, Quebec City, Canada
| | - Pascale Tremblay
- Université Laval, Québec City, Canada
- CERVO Brain Research Center, Quebec City, Canada
| |
Collapse
|
6
|
Gao Y, Zhao Y, Li M, Lawless RD, Schilling KG, Xu L, Shafer AT, Beason-Held LL, Resnick SM, Rogers BP, Ding Z, Anderson AW, Landman BA, Gore JC. Functional alterations in bipartite network of white and grey matters during aging. Neuroimage 2023; 278:120277. [PMID: 37473978 PMCID: PMC10529380 DOI: 10.1016/j.neuroimage.2023.120277] [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: 04/14/2023] [Revised: 06/23/2023] [Accepted: 07/11/2023] [Indexed: 07/22/2023] Open
Abstract
The effects of normal aging on functional connectivity (FC) within various brain networks of gray matter (GM) have been well-documented. However, the age effects on the networks of FC between white matter (WM) and GM, namely WM-GM FC, remains unclear. Evaluating crucial properties, such as global efficiency (GE), for a WM-GM FC network poses a challenge due to the absence of closed triangle paths which are essential for assessing network properties in traditional graph models. In this study, we propose a bipartite graph model to characterize the WM-GM FC network and quantify these challenging network properties. Leveraging this model, we assessed the WM-GM FC network properties at multiple scales across 1,462 cognitively normal subjects aged 22-96 years from three repositories (ADNI, BLSA and OASIS-3) and investigated the age effects on these properties throughout adulthood and during late adulthood (age ≥70 years). Our findings reveal that (1) heterogeneous alterations occurred in region-specific WM-GM FC over the adulthood and decline predominated during late adulthood; (2) the FC density of WM bundles engaged in memory, executive function and processing speed declined with age over adulthood, particularly in later years; and (3) the GE of attention, default, somatomotor, frontoparietal and limbic networks reduced with age over adulthood, and GE of visual network declined during late adulthood. These findings provide unpresented insights into multi-scale alterations in networks of WM-GM functional synchronizations during normal aging. Furthermore, our bipartite graph model offers an extendable framework for quantifying WM-engaged networks, which may contribute to a wide range of neuroscience research.
Collapse
Affiliation(s)
- Yurui Gao
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
| | - Yu Zhao
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Muwei Li
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Richard D Lawless
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kurt G Schilling
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lyuan Xu
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Andrea T Shafer
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Lori L Beason-Held
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Baxter P Rogers
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Zhaohua Ding
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA; Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Adam W Anderson
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Bennett A Landman
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA; Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - John C Gore
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
| |
Collapse
|
7
|
Kizilirmak JM, Soch J, Schütze H, Düzel E, Feldhoff H, Fischer L, Knopf L, Maass A, Raschick M, Schult A, Yakupov R, Richter A, Schott BH. The relationship between resting-state amplitude fluctuations and memory-related deactivations of the default mode network in young and older adults. Hum Brain Mapp 2023; 44:3586-3609. [PMID: 37051727 DOI: 10.1002/hbm.26299] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 03/09/2023] [Accepted: 03/20/2023] [Indexed: 04/14/2023] Open
Abstract
The default mode network (DMN) typically exhibits deactivations during demanding tasks compared to periods of relative rest. In functional magnetic resonance imaging (fMRI) studies of episodic memory encoding, increased activity in DMN regions even predicts later forgetting in young healthy adults. This association is attenuated in older adults and, in some instances, increased DMN activity even predicts remembering rather than forgetting. It is yet unclear whether this phenomenon is due to a compensatory mechanism, such as self-referential or schema-dependent encoding, or whether it reflects overall reduced DMN activity modulation in older age. We approached this question by systematically comparing DMN activity during successful encoding and tonic, task-independent, DMN activity at rest in a sample of 106 young (18-35 years) and 111 older (60-80 years) healthy participants. Using voxel-wise multimodal analyses, we assessed the age-dependent relationship between DMN resting-state amplitude (mean percent amplitude of fluctuation, mPerAF) and DMN fMRI signals related to successful memory encoding, as well as their modulation by age-related hippocampal volume loss, while controlling for regional grey matter volume. Older adults showed lower resting-state DMN amplitudes and lower task-related deactivations. However, a negative relationship between resting-state mPerAF and subsequent memory effect within the precuneus was observed only in young, but not older adults. Hippocampal volumes showed no relationship with the DMN subsequent memory effect or mPerAF. Lastly, older adults with higher mPerAF in the DMN at rest tend to show higher memory performance, pointing towards the importance of a maintained ability to modulate DMN activity in old age.
Collapse
Affiliation(s)
- Jasmin M Kizilirmak
- Cognitive Geriatric Psychiatry, German Center for Neurodegenerative Diseases, Göttingen, Germany
- Neurodidactics and NeuroLab, Institute for Psychology, University of Hildesheim, Hildesheim, Germany
- German Centre for Higher Education Research and Science Studies, Hannover, Germany
| | - Joram Soch
- Cognitive Geriatric Psychiatry, German Center for Neurodegenerative Diseases, Göttingen, Germany
- Bernstein Center for Computational Neuroscience, Berlin, Germany
| | - Hartmut Schütze
- Medical Faculty, Institute for Cognitive Neurology and Dementia Research, Otto-von-Guericke-University, Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
| | - Emrah Düzel
- Medical Faculty, Institute for Cognitive Neurology and Dementia Research, Otto-von-Guericke-University, Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
| | | | | | - Lea Knopf
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Anne Maass
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
| | | | - Annika Schult
- Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
| | - Anni Richter
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany
| | - Björn H Schott
- Cognitive Geriatric Psychiatry, German Center for Neurodegenerative Diseases, Göttingen, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
- Leibniz Institute for Neurobiology, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| |
Collapse
|
8
|
Wu L, Calhoun V. Joint connectivity matrix independent component analysis: Auto-linking of structural and functional connectivities. Hum Brain Mapp 2023; 44:1533-1547. [PMID: 36420833 PMCID: PMC9921228 DOI: 10.1002/hbm.26155] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 09/25/2022] [Accepted: 11/04/2022] [Indexed: 11/25/2022] Open
Abstract
The study of human brain connectivity, including structural connectivity (SC) and functional connectivity (FC), provides insights into the neurophysiological mechanism of brain function and its relationship to human behavior and cognition. Both types of connectivity measurements provide crucial yet complementary information. However, integrating these two modalities into a single framework remains a challenge, because of the differences in their quantitative interdependencies as well as their anatomical representations due to distinctive imaging mechanisms. In this study, we introduced a new method, joint connectivity matrix independent component analysis (cmICA), which provides a data-driven parcellation and automated-linking of SC and FC information simultaneously using a joint analysis of functional magnetic resonance imaging (MRI) and diffusion-weighted MRI data. We showed that these two connectivity modalities produce common cortical segregation, though with various degrees of (dis)similarity. Moreover, we show conjoint FC networks and structural white matter tracts that directly link these cortical parcellations/sources, within one analysis. Overall, data-driven joint cmICA provides a new approach for integrating or fusing structural connectivity and FC systematically and conveniently, and provides an effective tool for connectivity-based multimodal data fusion in brain.
Collapse
Affiliation(s)
- Lei Wu
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Center, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.,Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico, USA
| | - Vince Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Center, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.,Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico, USA
| |
Collapse
|
9
|
Morand A, Segobin S, Lecouvey G, Gonneaud J, Eustache F, Rauchs G, Desgranges B. Alterations in resting-state functional connectivity associated to the age-related decline in time-based prospective memory. Cereb Cortex 2022; 33:4374-4383. [PMID: 36130116 DOI: 10.1093/cercor/bhac349] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/29/2022] [Accepted: 07/30/2022] [Indexed: 11/12/2022] Open
Abstract
Time-based prospective memory (TBPM) is defined as the ability to remember to perform intended actions at a specific time in the future. TBPM is impaired in aging, and this decline has been associated with white-matter alterations within the superior fronto-occipital fasciculus. In the present study, we used resting-state functional magnetic resonance imaging from 22 healthy young (26 ± 5.2 years) and 23 older (63 ± 6.1 years) participants to investigate how age-related alterations in resting-state functional connectivity are related to TBPM performance, and whether these alterations are associated with the white-matter disruptions we have previously observed with diffusion tensor imaging. Whole-brain analyses revealed lower resting-state functional connectivity in older participants compared with younger ones, which in turn correlated with TBPM performance. These correlations were mainly located in the salience network and the parietal part of the frontoparietal network. Our findings suggest that resting-state functional connectivity alterations contribute to the age-related decline in TBPM.
Collapse
Affiliation(s)
- Alexandrine Morand
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
- Normandie Universite, UNICAEN, Inserm, U1237, PHIND, Institut Blood and Brain @Caen-Normandie, GIP Cyceron, Bd Henri Becquerel, BP 5229, 14074 Caen Cedex 5, France
| | - Shailendra Segobin
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
| | - Grégory Lecouvey
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
| | - Julie Gonneaud
- Normandie Universite, UNICAEN, Inserm, U1237, PHIND, Institut Blood and Brain @Caen-Normandie, GIP Cyceron, Bd Henri Becquerel, BP 5229, 14074 Caen Cedex 5, France
| | - Francis Eustache
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
| | - Géraldine Rauchs
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
- Normandie Universite, UNICAEN, Inserm, U1237, PHIND, Institut Blood and Brain @Caen-Normandie, GIP Cyceron, Bd Henri Becquerel, BP 5229, 14074 Caen Cedex 5, France
| | - Béatrice Desgranges
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
| |
Collapse
|
10
|
Wei X, Shen Q, Litvan I, Huang M, Lee RR, Harrington DL. Internetwork Connectivity Predicts Cognitive Decline in Parkinson’s and Is Altered by Genetic Variants. Front Aging Neurosci 2022; 14:853029. [PMID: 35418853 PMCID: PMC8996114 DOI: 10.3389/fnagi.2022.853029] [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: 01/12/2022] [Accepted: 03/02/2022] [Indexed: 12/30/2022] Open
Abstract
In Parkinson’s disease (PD) functional changes in the brain occur years before significant cognitive symptoms manifest yet core large-scale networks that maintain cognition and predict future cognitive decline are poorly understood. The present study investigated internetwork functional connectivity of visual (VN), anterior and posterior default mode (aDMN, pDMN), left/right frontoparietal (LFPN, RFPN), and salience (SN) networks in 63 cognitively normal PD (PDCN) and 43 healthy controls who underwent resting-state functional MRI. The functional relevance of internetwork coupling topologies was tested by their correlations with baseline cognitive performance in each group and with 2-year cognitive changes in a PDCN subsample. To disentangle heterogeneity in neurocognitive functioning, we also studied whether α-synuclein (SNCA) and microtubule-associated protein tau (MAPT) variants alter internetwork connectivity and/or accelerate cognitive decline. We found that internetwork connectivity was largely preserved in PDCN, except for reduced pDMN-RFPN/LFPN couplings, which correlated with poorer baseline global cognition. Preserved internetwork couplings also correlated with domain-specific cognition but differently for the two groups. In PDCN, stronger positive internetwork coupling topologies correlated with better cognition at baseline, suggesting a compensatory mechanism arising from less effective deployment of networks that supported cognition in healthy controls. However, stronger positive internetwork coupling topologies typically predicted greater longitudinal decline in most cognitive domains, suggesting that they were surrogate markers of neuronal vulnerability. In this regard, stronger aDMN-SN, LFPN-SN, and/or LFPN-VN connectivity predicted longitudinal decline in attention, working memory, executive functioning, and visual cognition, which is a risk factor for dementia. Coupling strengths of some internetwork topologies were altered by genetic variants. PDCN carriers of the SNCA risk allele showed amplified anticorrelations between the SN and the VN/pDMN, which supported cognition in healthy controls, but strengthened pDMN-RFPN connectivity, which maintained visual memory longitudinally. PDCN carriers of the MAPT risk allele showed greater longitudinal decline in working memory and increased VN-LFPN connectivity, which in turn predicted greater decline in visuospatial processing. Collectively, the results suggest that cognition is maintained by functional reconfiguration of large-scale internetwork communications, which are partly altered by genetic risk factors and predict future domain-specific cognitive progression.
Collapse
Affiliation(s)
- Xiangyu Wei
- Research and Radiology Services, VA San Diego Healthcare System, San Diego, CA, United States
- Revelle College, University of California San Diego, La Jolla, CA, United States
| | - Qian Shen
- Research and Radiology Services, VA San Diego Healthcare System, San Diego, CA, United States
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - Irene Litvan
- Department of Neurosciences, University of California San Diego, La Jolla, CA, United States
| | - Mingxiong Huang
- Research and Radiology Services, VA San Diego Healthcare System, San Diego, CA, United States
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - Roland R. Lee
- Research and Radiology Services, VA San Diego Healthcare System, San Diego, CA, United States
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - Deborah L. Harrington
- Research and Radiology Services, VA San Diego Healthcare System, San Diego, CA, United States
- Department of Neurosciences, University of California San Diego, La Jolla, CA, United States
- *Correspondence: Deborah L. Harrington,
| |
Collapse
|
11
|
Network-specific differences in transient brain activity at rest are associated with age-related reductions in motor performance. Neuroimage 2022; 252:119025. [PMID: 35202812 DOI: 10.1016/j.neuroimage.2022.119025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 02/15/2022] [Accepted: 02/20/2022] [Indexed: 11/20/2022] Open
Abstract
Multiple functional changes occur in the brain with increasing age. Among those, older adults typically display more restricted fluctuations of brain activity, both during resting-state and task execution. These altered dynamic patterns have been linked to reduced task performance across multiple behavioral domains. Windowed functional connectivity, which is typically employed in the study of connectivity dynamics, however, might not be able to properly characterize moment-to-moment variations of individual networks. In the present study, we used innovation-driven co-activation patterns (ICAP) to overcome this limitation and investigate the length (duration) and frequency (innovation) in which various brain networks emerged across the adult lifespan (N= 92) during a resting-state period. We identified a link between increasing age and a tendency to engage brain areas with distinct functional associations simultaneously as a single network. The emergence of isolated and spatially well-defined visual, motor, frontoparietal, and posterior networks decreased with increased age. This reduction in dynamics of specialized networks mediated age-related performance decreases (i.e., increases in interlimb interference) in a bimanual motor task. Altogether, our findings demonstrated that older compared to younger adults tend to activate fewer network configurations, which include multiple functionally distinct brain areas. The reduction in independent emergence of functionally well-defined and task-relevant networks may reflect an expression of brain dedifferentiation and is likely associated with functional modulatory deficits, negatively impacting motor behavior.
Collapse
|
12
|
Zhang H, Tao Y, Xu H, Zou S, Deng F, Huang L, Zhang H, Wang X, Tang X, Dong Z, Wang Y, Fu X, Yin L. Associations between childhood chronic stress and dynamic functional connectivity in drug-naïve, first-episode adolescent MDD. J Affect Disord 2022; 299:85-92. [PMID: 34822920 DOI: 10.1016/j.jad.2021.11.050] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 11/14/2021] [Accepted: 11/16/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND We explored the associations between chronic stress and dynamic working patterns of the whole brain using resting state MRI data in drug-naïve, first-episode adolescents with major depressive disorder (MDD). METHODS We compared dynamic functional connectivity (dyn-FC) and screen out networks with difference in whole brain between 45 healthy controls (HC) and 60 adolescent MDD patients using dynamic independent components analysis. In each of these networks with difference between groups, hub brain regions were selected as functionally connected to more than 30 brain regions at the same time. Then we extracted the dyn-FC coefficients of each hub brain region with other brain regions in each component at different time points and calculated the average value of the entire scan time. Finally, we explored correlations between these average values of the entire scan time and scores on the Childhood Chronic Stress Questionnaire (CCSQ). RESULTS We found three networks as well as some hub brain regions with different dyn-FC patterns between adolescent MDD and HC. Scores on the CCSQ were found to correlate with dynamic FC between hub brain areas and certain other brain areas in MDD patients. LIMITATIONS our cross-sectional study design does not allow us to speculate about causality between chronic stress and depression. Prospective cohort studies should explore in detail how the changes in dynamic FC appear and evolve during MDD. CONCLUSIONS Chronic stress is related with the brain dynamic working patterns in adolescent MDD.
Collapse
Affiliation(s)
- Hang Zhang
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Yuanmei Tao
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Hanmei Xu
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Shoukang Zou
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Fang Deng
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Lijuan Huang
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Hong Zhang
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Xiaolan Wang
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Xiaowei Tang
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Zaiquan Dong
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Yanping Wang
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Xia Fu
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China
| | - Li Yin
- Department of Psychiatry, West China Hospital of Sichuan University, No. 28 Dianxin South Street, Chengdu, Sichuan 610041, China; Frontier Science Center for Disease-related Molecular Networks, Chengdu, Sichuan 610041, China; Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu, Sichuan 610041, China.
| |
Collapse
|
13
|
Chow R, Rabi R, Paracha S, Hasher L, Anderson CPsych ND, Alain C. Default mode network and neural phase synchronization in healthy aging: A resting state EEG study. Neuroscience 2022; 485:116-128. [PMID: 35051530 DOI: 10.1016/j.neuroscience.2022.01.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 01/07/2022] [Accepted: 01/10/2022] [Indexed: 01/23/2023]
Abstract
Aging is associated with altered brain connectivity within the default mode network (DMN). Although research using functional magnetic resonance imaging has quantified age-related alterations in functional connectivity within this network during resting state, it is less clear how this may be reflected in electrophysiological measures, and how this relates to cognitive performance in older adults. The aim of this study was to quantify age differences in phase synchrony of the DMN during resting state, with particular focus on connectivity between the anterior node (i.e., medial prefrontal cortex, or mPFC) and other associated regions in this network. Electroencephalography was recorded from 55 younger adults (18-30 years, 28 females) and 34 older adults (64-88 years, 16 females) in two resting state conditions (eyes-open and -closed). Source-level functional connectivity was quantified using phase-locking value (PLV) with a spatial filter of six sources of interest, and were subjected to data-driven permutation testing between groups from 1 to 50 Hz. Older adults also completed tests of memory, language, executive functioning, and processing speed. Findings indicated decreased connectivity in the alpha2 range for older than younger adults between the mPFC and other DMN regions including the left angular gyrus and bilateral lateral temporal cortices, the latter of which were associated with lower performance in semantic fluency and executive functioning in older adults. Furthermore, greater PLV in theta and beta bands between the mPFC and posterior cingulate regions was found in older than younger adults. These results suggest age-related changes in DMN functional connectivity are non-uniform and frequency-dependent, and may reflect poorer performance in cognitive domains thought to decline with aging.
Collapse
Affiliation(s)
- Ricky Chow
- Rotman Research Institute, Baycrest Centre, Toronto, Ontario M6A 2E1, Canada
| | - Rahel Rabi
- Rotman Research Institute, Baycrest Centre, Toronto, Ontario M6A 2E1, Canada
| | - Shahier Paracha
- Rotman Research Institute, Baycrest Centre, Toronto, Ontario M6A 2E1, Canada
| | - Lynn Hasher
- Rotman Research Institute, Baycrest Centre, Toronto, Ontario M6A 2E1, Canada; Department of Psychology, University of Toronto, Ontario M5S 3G3, Canada
| | - Nicole D Anderson CPsych
- Rotman Research Institute, Baycrest Centre, Toronto, Ontario M6A 2E1, Canada; Department of Psychology, University of Toronto, Ontario M5S 3G3, Canada; Department of Psychiatry, University of Toronto, Ontario M5T 1R8, Canada
| | - Claude Alain
- Rotman Research Institute, Baycrest Centre, Toronto, Ontario M6A 2E1, Canada; Department of Psychology, University of Toronto, Ontario M5S 3G3, Canada; Institute of Medical Sciences, University of Toronto, Ontario M5S 1A8, Canada.
| |
Collapse
|
14
|
Zhao Y, Nebel MB, Caffo BS, Mostofsky SH, Rosch KS. Beyond Massive Univariate Tests: Covariance Regression Reveals Complex Patterns of Functional Connectivity Related to Attention-Deficit/Hyperactivity Disorder, Age, Sex, and Response Control. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2022; 2:8-16. [PMID: 35528865 PMCID: PMC9074810 DOI: 10.1016/j.bpsgos.2021.06.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background Studies of brain functional connectivity (FC) typically involve massive univariate tests, performing statistical analysis on each individual connection. In this study, we apply a novel whole-matrix regression approach referred to as covariate assisted principal regression to identify resting-state FC brain networks associated with attention-deficit/hyperactivity disorder (ADHD) and response control. Methods Participants included 8- to 12-year-old children with ADHD (n = 115; 29 girls) and typically developing control children (n = 102; 35 girls) who completed a resting-state functional magnetic resonance imaging scan and a Go/NoGo task. We modeled three sets of covariates to identify resting-state networks associated with an ADHD diagnosis, sex, and response inhibition (commission errors) and variability (ex-Gaussian parameter tau). Results The first network includes FC between striatal-cognitive control (CC) network subregions and thalamic-default mode network (DMN) subregions and is positively related to age. The second consists of FC between CC-visual-somatomotor regions and between CC-DMN subregions and is positively associated with response variability in boys with ADHD. The third consists of FC within the DMN and between DMN-CC-visual regions and differs between boys with and without ADHD. The fourth consists of FC between visual-somatomotor regions and between visual-DMN regions and differs between girls and boys with ADHD and is associated with response inhibition and variability in boys with ADHD. Unique networks were also identified in each of the three models, suggesting some specificity to the covariates of interest. Conclusions These findings demonstrate the utility of our novel covariance regression approach to studying functional brain networks relevant for development, behavior, and psychopathology.
Collapse
|
15
|
Jarrahi B, McEwen SC, Holschneider DP, Schiehser DM, Petkus AJ, Gomez ME, Van Horn JD, Filoteo V, Jakowec MW, Petzinger GM. The Effects of Cardiorespiratory and Motor Skill Fitness on Intrinsic Functional Connectivity of Neural Networks in Individuals with Parkinson's Disease. Brain Plast 2021; 7:77-95. [PMID: 34868875 PMCID: PMC8609487 DOI: 10.3233/bpl-200115] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2021] [Indexed: 11/26/2022] Open
Abstract
Background: Studies in aging older adults have shown the positive association between cognition and exercise related fitness, particularly cardiorespiratory fitness. These reports have also demonstrated the association of high cardiorespiratory fitness, as well as other types of fitness, on the reversal of age-related decline in neural network connectivity, highlighting the potential role of fitness on age- and disease-related brain changes. While the clinical benefits of exercise are well-documented in Parkinson’s disease (PD), the extent to which cardiorespiratory fitness (assessed by estimated VO2max testing) or motor skill fitness (assessed by the Physical Performance Test (PPT)) affects neural network connectivity in PD remains to be investigated. The purpose of this study was to explore the hypothesis that higher fitness level is associated with an increase in the intrinsic network connectivity of cognitive networks commonly affected in PD. Methods: In this cross-sectional resting state fMRI, we used a multivariate statistical approach based on high-dimensional independent component analysis (ICA) to investigate the association between two independent fitness metrics (estimated VO2max and PPT) and resting state network connectivity. Results: We found that increased estimated VO2max was associated with increased within network connectivity in cognitive networks known to be impaired in PD, including those sub-serving memory and executive function. There was a similar trend for high levels of PPT to be associated with increased within network connectivity in distinct resting state networks. The between functional network connectivity analysis revealed that cardiorespiratory fitness was associated with increased functional connectivity between somatosensory motor network and several cognitive networks sub-serving memory, attention, and executive function. Conclusion: This study provides important empirical data supporting the potential association between two forms of fitness and multiple resting state networks impacting PD cognition. Linking fitness to circuit specific modulation of resting state network connectivity will help establish a neural basis for the positive effects of fitness and specific exercise modalities and provide a foundation to identify underlying mechanisms to promote repair.
Collapse
Affiliation(s)
- Behnaz Jarrahi
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, California, USA
| | - Sarah C McEwen
- Pacific Brain Health Center, Pacific Neuroscience Institute, Santa Monica, CA, USA.,Department of Translational Neurosciences and Neurotherapeutics, Providence Saint John's Cancer Institute, Santa Monica, CA, USA
| | - Daniel P Holschneider
- Department of Neurology, University of Southern California, Los Angeles, CA, USA.,Department of Psychiatry and the Behavioral Sciences, University of Southern California, San Pablo St., Los Angeles, CA, USA
| | - Dawn M Schiehser
- Research & Psychology Services, VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.,Department of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Andrew J Petkus
- Department of Neurology, University of Southern California, Los Angeles, CA, USA
| | - Megan E Gomez
- Department of Psychology, Tibor Rubin Veterans Administration Medical Center, Long Beach, CA, USA
| | - Jack D Van Horn
- Department of Psychology and School of Data Science, University of Virginia, Charlottesville, VA, USA
| | - Vincent Filoteo
- Research & Psychology Services, VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.,Department of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Michael W Jakowec
- Department of Neurology, University of Southern California, Los Angeles, CA, USA
| | - Giselle M Petzinger
- Department of Neurology, University of Southern California, Los Angeles, CA, USA
| |
Collapse
|
16
|
Maesawa S, Mizuno S, Bagarinao E, Watanabe H, Kawabata K, Hara K, Ohdake R, Ogura A, Mori D, Nakatsubo D, Isoda H, Hoshiyama M, Katsuno M, Saito R, Ozaki N, Sobue G. Resting State Networks Related to the Maintenance of Good Cognitive Performance During Healthy Aging. Front Hum Neurosci 2021; 15:753836. [PMID: 34803636 PMCID: PMC8604343 DOI: 10.3389/fnhum.2021.753836] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 10/19/2021] [Indexed: 11/17/2022] Open
Abstract
Purpose: Maintenance of cognitive performance is important for healthy aging. This study aims to elucidate the relationship between brain networks and cognitive function in subjects maintaining relatively good cognitive performance. Methods: A total of 120 subjects, with equal number of participants from each age group between 20 and 70 years, were included in this study. Only participants with Addenbrooke’s Cognitive Examination – Revised (ACE-R) total score greater than 83 were included. Anatomical T1-weighted MR images and resting-state functional MR images (rsfMRIs) were taken from all participants using a 3-tesla MRI scanner. After preprocessing, several factors associated with age including the ACE-R total score, scores of five domains, sub-scores of ACE-R, and brain volumes were tested. Morphometric changes associated with age were analyzed using voxel based morphometry (VBM) and changes in resting state networks (RSNs) were examined using dual regression analysis. Results: Significant negative correlations with age were seen in the total gray matter volume (GMV, r = −0.58), and in the memory, attention, and visuospatial domains. Among the different sub-scores, the score of the delayed recall (DR) showed the highest negative correlation with age (r = −0.55, p < 0.001). In VBM analysis, widespread regions demonstrated negative correlation with age, but none with any of the cognitive scores. Quadratic approximations of cognitive scores as functions of age showed relatively delayed decline compared to total GMV loss. In dual regression analysis, some cognitive networks, including the dorsal default mode network, the lateral dorsal attention network, the right / left executive control network, the posterior salience network, and the language network, did not demonstrate negative correlation with age. Some regions in the sensorimotor networks showed positive correlation with the DR, memory, and fluency scores. Conclusion: Some domains of the cognitive test did not correlate with age, and even the highly correlated sub-scores such as the DR score, showed delayed decline compared to the loss of total GMV. Some RSNs, especially involving cognitive control regions, were relatively maintained with age. Furthermore, the scores of memory, fluency, and the DR were correlated with the within-network functional connectivity values of the sensorimotor network, which supported the importance of exercise for maintenance of cognition.
Collapse
Affiliation(s)
- Satoshi Maesawa
- Brain and Mind Research Center, Nagoya University, Nagoya, Japan.,Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Satomi Mizuno
- Department of Rehabilitation Medicine, National Hospital Organization, Nagoya Medical Center, Nagoya, Japan
| | | | - Hirohisa Watanabe
- Brain and Mind Research Center, Nagoya University, Nagoya, Japan.,Department of Neurology, Fujita Health University, Toyoake, Japan
| | - Kazuya Kawabata
- Brain and Mind Research Center, Nagoya University, Nagoya, Japan.,Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazuhiro Hara
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Reiko Ohdake
- Department of Neurology, Fujita Health University, Toyoake, Japan
| | - Aya Ogura
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Daisuke Mori
- Brain and Mind Research Center, Nagoya University, Nagoya, Japan.,Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Daisuke Nakatsubo
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Haruo Isoda
- Brain and Mind Research Center, Nagoya University, Nagoya, Japan
| | - Minoru Hoshiyama
- Brain and Mind Research Center, Nagoya University, Nagoya, Japan
| | - Masahisa Katsuno
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Ryuta Saito
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Norio Ozaki
- Brain and Mind Research Center, Nagoya University, Nagoya, Japan.,Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Gen Sobue
- Brain and Mind Research Center, Nagoya University, Nagoya, Japan.,Department of Neurology, Aichi Medical University, Nagakute, Japan
| |
Collapse
|
17
|
Li X, Fischer H, Manzouri A, Månsson KNT, Li TQ. A Quantitative Data-Driven Analysis Framework for Resting-State Functional Magnetic Resonance Imaging: A Study of the Impact of Adult Age. Front Neurosci 2021; 15:768418. [PMID: 34744623 PMCID: PMC8565286 DOI: 10.3389/fnins.2021.768418] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 09/28/2021] [Indexed: 01/08/2023] Open
Abstract
The objective of this study is to introduce a new quantitative data-driven analysis (QDA) framework for the analysis of resting-state fMRI (R-fMRI) and use it to investigate the effect of adult age on resting-state functional connectivity (RFC). Whole-brain R-fMRI measurements were conducted on a 3T clinical MRI scanner in 227 healthy adult volunteers (N = 227, aged 18-76 years old, male/female = 99/128). With the proposed QDA framework we derived two types of voxel-wise RFC metrics: the connectivity strength index and connectivity density index utilizing the convolutions of the cross-correlation histogram with different kernels. Furthermore, we assessed the negative and positive portions of these metrics separately. With the QDA framework we found age-related declines of RFC metrics in the superior and middle frontal gyri, posterior cingulate cortex (PCC), right insula and inferior parietal lobule of the default mode network (DMN), which resembles previously reported results using other types of RFC data processing methods. Importantly, our new findings complement previously undocumented results in the following aspects: (1) the PCC and right insula are anti-correlated and tend to manifest simultaneously declines of both the negative and positive connectivity strength with subjects' age; (2) separate assessment of the negative and positive RFC metrics provides enhanced sensitivity to the aging effect; and (3) the sensorimotor network depicts enhanced negative connectivity strength with the adult age. The proposed QDA framework can produce threshold-free and voxel-wise RFC metrics from R-fMRI data. The detected adult age effect is largely consistent with previously reported studies using different R-fMRI analysis approaches. Moreover, the separate assessment of the negative and positive contributions to the RFC metrics can enhance the RFC sensitivity and clarify some of the mixed results in the literature regarding to the DMN and sensorimotor network involvement in adult aging.
Collapse
Affiliation(s)
- Xia Li
- Institute of Informatics Engineering, China Jiliang University, Hangzhou, China
| | - Håkan Fischer
- Department of Psychology, Stockholm University, Stockholm, Sweden.,Stockholm University Brain Imaging Centre, Stockholm, Sweden
| | | | - Kristoffer N T Månsson
- Department of Psychology, Stockholm University, Stockholm, Sweden.,Centre of Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tie-Qiang Li
- Institute of Informatics Engineering, China Jiliang University, Hangzhou, China.,Department of Clinical Science, Intervention, and Technology, Karolinska Institute, Solna, Sweden.,Department of Medical Radiation and Nuclear Medicine, Karolinska University Hospital, Solna, Sweden
| |
Collapse
|
18
|
Zhang J, Xu D, Cui H, Zhao T, Chu C, Wang J. Group-guided individual functional parcellation of the hippocampus and application to normal aging. Hum Brain Mapp 2021; 42:5973-5984. [PMID: 34529323 PMCID: PMC8596973 DOI: 10.1002/hbm.25662] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 08/18/2021] [Accepted: 09/04/2021] [Indexed: 02/01/2023] Open
Abstract
Aging is closely associated with cognitive decline affecting attention, memory and executive functions. The hippocampus is the core brain area for human memory, learning, and cognition processing. To delineate the individual functional patterns of hippocampus is pivotal to reveal the neural basis of aging. In this study, we developed a group‐guided individual parcellation approach based on semisupervised affinity propagation clustering using the resting‐state functional magnetic resonance imaging to identify individual functional subregions of hippocampus and to identify the functional patterns of each subregion during aging. A three‐way group parcellation was yielded and was taken as prior information to guide individual parcellation of hippocampus into head, body, and tail in each subject. The superiority of individual parcellation of hippocampus is validated by higher intraregional functional similarities by compared to group‐level parcellation results. The individual variations of hippocampus were associated with coactivation patterns of three typical functions of hippocampus. Moreover, the individual functional connectivities of hippocampus subregions with predefined target regions could better predict age than group‐level functional connectivities. Our study provides a novel framework for individual brain functional parcellations, which may facilitate the future individual researches for brain cognitions and brain disorders and directing accurate neuromodulation.
Collapse
Affiliation(s)
- Jiang Zhang
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Dundi Xu
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Hongjie Cui
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Tianyu Zhao
- College of Electrical Engineering, Sichuan University, Chengdu, China
| | - Congying Chu
- National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Jiaojian Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
| |
Collapse
|
19
|
Podgórski P, Waliszewska-Prosół M, Zimny A, Sąsiadek M, Bladowska J. Resting-State Functional Connectivity of the Ageing Female Brain-Differences Between Young and Elderly Female Adults on Multislice Short TR rs-fMRI. Front Neurol 2021; 12:645974. [PMID: 34322076 PMCID: PMC8311596 DOI: 10.3389/fneur.2021.645974] [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: 12/24/2020] [Accepted: 05/25/2021] [Indexed: 11/22/2022] Open
Abstract
Introduction: Age-related brain changes are one of the most important world health problems due to the rising lifespan and size of the elderly populations. The aim of the study was to assess the effect of ageing in women on coordinated brain activity between eight resting-state networks. Material and Methods: The study group comprised 60 healthy female volunteers who were divided into two age groups: younger women (aged 20–30 n = 30) and older women (aged 55–80 n = 30). Resting-state data were collected during a 15 min scan in the eyes-closed condition using a 3T MR scanner. Data were preprocessed and analysed using the CONN toolbox version 19.c. The large-scale network analysis included a priori selected regions of interest of the default mode, the sensorimotor, the visual, the salience, the dorsal attention, the fronto-parietal, the language, and the cerebellar network. Results: Within the visual, the default mode, the salience, and the sensorimotor network, the intra-network resting-state functional connectivity (RSFC) was significantly higher with increasing age. There was also a significant increase in the inter-network RSFC in older females compared to young females found in the following networks: sensorimotor lateral and salience, salience and language, salience and fronto-parietal, cerebellar anterior and default mode, cerebellar posterior and default mode, visual and sensorimotor lateral, visual and sensorimotor, visual lateral and default mode, language and cerebellar anterior, language and cerebellar posterior, fronto-parietal and cerebellar anterior, dorsal attention and sensorimotor, dorsal attention and default mode, sensorimotor superior, and salience. Compared to young females, elderly women presented bilaterally significantly lower inter-network RSFC of the salience supramarginal gyrus and cerebellar posterior, sensorimotor lateral, and cerebellar anterior network, and sensorimotor lateral and cerebellar posterior as well as sensorimotor superior and cerebellar posterior network. Conclusion: Increased RSFC between some brain networks including the visual, the default mode, the salience, the sensorimotor, the language, the fronto-parietal, the dorsal attention, and the cerebellar networks in elderly females may function as a compensation mechanism during the ageing process of the brain. To the best of our knowledge, this study is the first to report the importance of increase of cerebellar networks RSFC during healthy female ageing.
Collapse
Affiliation(s)
- Przemysław Podgórski
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
| | | | - Anna Zimny
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
| | - Marek Sąsiadek
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
| | - Joanna Bladowska
- Department of General and Interventional Radiology and Neuroradiology, Wroclaw Medical University, Wrocław, Poland
| |
Collapse
|
20
|
Wu L, Caprihan A, Calhoun V. Tracking spatial dynamics of functional connectivity during a task. Neuroimage 2021; 239:118310. [PMID: 34175424 DOI: 10.1016/j.neuroimage.2021.118310] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 05/15/2021] [Accepted: 06/23/2021] [Indexed: 11/30/2022] Open
Abstract
Functional connectivity (FC) measured from functional magnetic resonance imaging (fMRI) provides a powerful tool to explore brain organization. Studies of the temporal dynamics of brain organization have shown a large temporal variability of the functional connectome, which may be associated with mental status transitions and/or adaptive process. Most dynamic studies, e.g. functional connectome and functional network connectivity (FNC), have focused on the macroscopic FC changes, i.e. the changes of temporal coherence across various brain network sources, nodes and/or regions of interest, where it is assumed within the network or node that the FC is static. In this paper, we develop a novel method to examine the spatial dynamics of FC, without the assumption of its intra-network stationarity. We applied our approach to fMRI data during an auditory oddball task (AOD) from twenty-two subjects, in an attempt to capture/validate the approach by evaluating whether spatial connectivity varies with task condition. The results showed that connectivity networks exhibit spatial variability over time, in addition to participating in conventional temporal dynamics, i.e. cross-network variability or dynamic functional network connectivity (dFNC). Furthermore, we studied the relationship of spatial dynamic in FC to cognitive processes, by performing a cluster analysis to evaluate an individual's functional correspondence towards the 'target' (oddball) detection from AOD task, and extracting cognitive task correspondence states as well as their dynamic FC spatial maps segregated by such states. We found a clear trend in different task-guided states, particularly, a prominent reduction of task stimulus synchrony state along with strong anticorrelation between default mode network (DMN) and cognitive attentional networks. We also observed an increasing occurrence of the task desynchrony state which showed an absence of DMN anticorrelation. The results highlight the impact of a well-studied cognitive task on the observed spatial dynamic structure. We also showed that the FC spatial dynamic pattern from our method largely corresponds to macroscopic dFNC patterns, but with more details and specifications over space, meanwhile the connectivity within the source itself provides novel information and varies over time. Overall, we demonstrate clear evidence of the presence of the (usually ignored) spatial dynamics of connectivity, its links to the task and implications of cognition/mental status.
Collapse
Affiliation(s)
- Lei Wu
- Tri-institutional center for Translational Research in Neuroimaging and Data Science (TReNDS) Center, Georgia Institute of Technology, Emory University, Georgia State University, Atlanta 30303, GA, United States; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque 87131, Mexico.
| | | | - Vince Calhoun
- Tri-institutional center for Translational Research in Neuroimaging and Data Science (TReNDS) Center, Georgia Institute of Technology, Emory University, Georgia State University, Atlanta 30303, GA, United States; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque 87131, Mexico; The Mind Research Network, Albuquerque 87106, Mexico.
| |
Collapse
|
21
|
Hampel H, Vassar R, De Strooper B, Hardy J, Willem M, Singh N, Zhou J, Yan R, Vanmechelen E, De Vos A, Nisticò R, Corbo M, Imbimbo BP, Streffer J, Voytyuk I, Timmers M, Tahami Monfared AA, Irizarry M, Albala B, Koyama A, Watanabe N, Kimura T, Yarenis L, Lista S, Kramer L, Vergallo A. The β-Secretase BACE1 in Alzheimer's Disease. Biol Psychiatry 2021; 89:745-756. [PMID: 32223911 PMCID: PMC7533042 DOI: 10.1016/j.biopsych.2020.02.001] [Citation(s) in RCA: 327] [Impact Index Per Article: 109.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 01/29/2020] [Accepted: 02/05/2020] [Indexed: 01/18/2023]
Abstract
BACE1 (beta-site amyloid precursor protein cleaving enzyme 1) was initially cloned and characterized in 1999. It is required for the generation of all monomeric forms of amyloid-β (Aβ), including Aβ42, which aggregates into bioactive conformational species and likely initiates toxicity in Alzheimer's disease (AD). BACE1 concentrations and rates of activity are increased in AD brains and body fluids, thereby supporting the hypothesis that BACE1 plays a critical role in AD pathophysiology. Therefore, BACE1 is a prime drug target for slowing down Aβ production in early AD. Besides the amyloidogenic pathway, BACE1 has other substrates that may be important for synaptic plasticity and synaptic homeostasis. Indeed, germline and adult conditional BACE1 knockout mice display complex neurological phenotypes. Despite BACE1 inhibitor clinical trials conducted so far being discontinued for futility or safety reasons, BACE1 remains a well-validated therapeutic target for AD. A safe and efficacious compound with high substrate selectivity as well as a more accurate dose regimen, patient population, and disease stage may yet be found. Further research should focus on the role of Aβ and BACE1 in physiological processes and key pathophysiological mechanisms of AD. The functions of BACE1 and the homologue BACE2, as well as the biology of Aβ in neurons and glia, deserve further investigation. Cellular and molecular studies of BACE1 and BACE2 knockout mice coupled with biomarker-based human research will help elucidate the biological functions of these important enzymes and identify their substrates and downstream effects. Such studies will have critical implications for BACE1 inhibition as a therapeutic approach for AD.
Collapse
Affiliation(s)
- Harald Hampel
- Neurology Business Group, Eisai Inc., Woodcliff Lake, New Jersey; Sorbonne University, GRC No. 21, Alzheimer Precision Medicine, Pitié-Salpêtrière Hospital, Paris, France.
| | - Robert Vassar
- Department of Neurology, Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Bart De Strooper
- Department of Neurosciences, KU Leuven, Leuven, Belgium; Centre for Brain and Disease Research, VIB (Flanders Institute for Biotechnology), Leuven, Belgium; Dementia Research Institute, University College London, London, United Kingdom
| | - John Hardy
- Department of Molecular Neuroscience and Reta Lilla Weston Laboratories, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Michael Willem
- Chair of Metabolic Biochemistry, Biomedical Center, Faculty of Medicine, Ludwig Maximilians University Munich, Munich, Germany
| | - Neeraj Singh
- Department of Neuroscience, University of Connecticut Health, Farmington, Connecticut
| | - John Zhou
- Department of Neuroscience, University of Connecticut Health, Farmington, Connecticut
| | - Riqiang Yan
- Department of Neuroscience, University of Connecticut Health, Farmington, Connecticut
| | | | | | - Robert Nisticò
- Laboratory of Neuropharmacology, EBRI Rita Levi-Montalcini Foundation, Rome, Italy; School of Pharmacy, Department of Biology, University of Rome "Tor Vergata," Rome, Italy
| | - Massimo Corbo
- Department of Neurorehabilitation Sciences, Casa Cura Policlinico, Milan, Italy
| | | | - Johannes Streffer
- Reference Center for Biological Markers of Dementia, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; UCB Biopharma SPRL, Braine-l'Alleud, Belgium
| | - Iryna Voytyuk
- Department of Neurosciences, KU Leuven, Leuven, Belgium; Centre for Brain and Disease Research, VIB (Flanders Institute for Biotechnology), Leuven, Belgium; ALBORADA Drug Discovery Institute, University of Cambridge, Cambridge, United Kingdom
| | - Maarten Timmers
- Reference Center for Biological Markers of Dementia, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium; Janssen Research and Development, a division of Janssen Pharmaceutica, Beerse, Belgium
| | - Amir Abbas Tahami Monfared
- Neurology Business Group, Eisai Inc., Woodcliff Lake, New Jersey; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Michael Irizarry
- Neurology Business Group, Eisai Inc., Woodcliff Lake, New Jersey
| | - Bruce Albala
- Neurology Business Group, Eisai Inc., Woodcliff Lake, New Jersey
| | - Akihiko Koyama
- Neurology Business Group, Eisai Inc., Woodcliff Lake, New Jersey
| | | | | | - Lisa Yarenis
- Neurology Business Group, Eisai Inc., Woodcliff Lake, New Jersey
| | - Simone Lista
- Sorbonne University, GRC No. 21, Alzheimer Precision Medicine, Pitié-Salpêtrière Hospital, Paris, France; Institute of Memory and Alzheimer's Disease, Department of Neurology, Pitié-Salpêtrière Hospital, Paris, France; Brain & Spine Institute, INSERM U 1127, CNRS UMR 7225, Paris, France
| | - Lynn Kramer
- Neurology Business Group, Eisai Inc., Woodcliff Lake, New Jersey
| | - Andrea Vergallo
- Neurology Business Group, Eisai Inc., Woodcliff Lake, New Jersey; Sorbonne University, GRC No. 21, Alzheimer Precision Medicine, Pitié-Salpêtrière Hospital, Paris, France; Institute of Memory and Alzheimer's Disease, Department of Neurology, Pitié-Salpêtrière Hospital, Paris, France; Brain & Spine Institute, INSERM U 1127, CNRS UMR 7225, Paris, France.
| |
Collapse
|
22
|
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.
Collapse
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
| |
Collapse
|
23
|
Hrybouski S, Cribben I, McGonigle J, Olsen F, Carter R, Seres P, Madan CR, Malykhin NV. Investigating the effects of healthy cognitive aging on brain functional connectivity using 4.7 T resting-state functional magnetic resonance imaging. Brain Struct Funct 2021; 226:1067-1098. [PMID: 33604746 DOI: 10.1007/s00429-021-02226-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 01/20/2021] [Indexed: 01/05/2023]
Abstract
Functional changes in the aging human brain have been previously reported using functional magnetic resonance imaging (fMRI). Earlier resting-state fMRI studies revealed an age-associated weakening of intra-system functional connectivity (FC) and age-associated strengthening of inter-system FC. However, the majority of such FC studies did not investigate the relationship between age and network amplitude, without which correlation-based measures of FC can be challenging to interpret. Consequently, the main aim of this study was to investigate how three primary measures of resting-state fMRI signal-network amplitude, network topography, and inter-network FC-are affected by healthy cognitive aging. We acquired resting-state fMRI data on a 4.7 T scanner for 105 healthy participants representing the entire adult lifespan (18-85 years of age). To study age differences in network structure, we combined ICA-based network decomposition with sparse graphical models. Older adults displayed lower blood-oxygen-level-dependent (BOLD) signal amplitude in all functional systems, with sensorimotor networks showing the largest age differences. Our age comparisons of network topography and inter-network FC demonstrated a substantial amount of age invariance in the brain's functional architecture. Despite architecture similarities, old adults displayed a loss of communication efficiency in our inter-network FC comparisons, driven primarily by the FC reduction in frontal and parietal association cortices. Together, our results provide a comprehensive overview of age effects on fMRI-based FC.
Collapse
Affiliation(s)
- Stanislau Hrybouski
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - Ivor Cribben
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.,Department of Accounting and Business Analytics, Alberta School of Business, University of Alberta, Edmonton, AB, Canada
| | - John McGonigle
- Department of Brain Sciences, Imperial College London, London, UK
| | - Fraser Olsen
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
| | - Rawle Carter
- Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 2V2, Canada
| | - Peter Seres
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
| | | | - Nikolai V Malykhin
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada. .,Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada. .,Department of Psychiatry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 2V2, Canada.
| |
Collapse
|
24
|
Esteban-Cornejo I, Stillman CM, Rodriguez-Ayllon M, Kramer AF, Hillman CH, Catena A, Erickson KI, Ortega FB. Physical fitness, hippocampal functional connectivity and academic performance in children with overweight/obesity: The ActiveBrains project. Brain Behav Immun 2021; 91:284-295. [PMID: 33049365 DOI: 10.1016/j.bbi.2020.10.006] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 10/05/2020] [Accepted: 10/06/2020] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVES Physical fitness is a modifiable factor associated with enhanced brain health during childhood. To our knowledge, the present study is the first to examine: (i) whether physical fitness components (i.e., cardiorespiratory, motor and muscular fitness) are associated with resting state functional connectivity of hippocampal seeds to different cortical regions in children with overweight/obesity, and (ii) whether resting state hippocampal functional connectivity is coupled with better academic performance. PATIENTS AND METHODS In this cross-sectional study, a total of 99 children with overweight/obesity aged 8-11 years were recruited from Granada, Spain (November 2014 to February 2016). The physical fitness components were assessed following the ALPHA health-related fitness test battery. T1-weighted and resting-state fMRI images were acquired with a 3.0 Tesla Siemens Magnetom Tim Trio system. Academic performance was assessed by the Woodcock-Muñoz standardized test. Hippocampal seed-based procedures with post-hoc regression analyses were performed. RESULTS In the fully adjusted models, cardiorespiratory fitness was independently associated with greater hippocampal connectivity between anterior hippocampus and frontal regions (β ranging from 0.423 to 0.424, p < 0.001). Motor fitness was independently associated with diminished hippocampal connectivity between posterior hippocampus and frontal regions (β ranging from -0.583 to -0.694, p < 0.001). However, muscular fitness was not independently associated with hippocampal functional connectivity. Positive resting state hippocampal functional connectivity was related to better written expression (β ranging from 0.209 to 0.245; p < 0.05). CONCLUSIONS Physical fitness components may associate with functional connectivity between hippocampal subregions and frontal regions, independent of hippocampal volume, in children with overweight/obesity. Particularly, cardiorespiratory fitness may enhance anterior hippocampal functional connectivity and motor fitness may diminish posterior hippocampal functional connectivity. In addition, resting state hippocampal functional connectivity may relate to better written expression.
Collapse
Affiliation(s)
- Irene Esteban-Cornejo
- PROFITH "PROmoting FITness and Health through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain.
| | - Chelsea M Stillman
- Brain Aging & Cognitive Health Lab, Department of Psychology, University of Pittsburgh, 3601 Sennot Square, Pittsburgh, PA, USA
| | - María Rodriguez-Ayllon
- PROFITH "PROmoting FITness and Health through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
| | - Arthur F Kramer
- Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Center for Cognitive and Brain Health, Department of Psychology, Northeastern University, Boston, MA, USA
| | - Charles H Hillman
- Center for Cognitive and Brain Health, Department of Psychology, Northeastern University, Boston, MA, USA; Department of Physical Therapy, Movement, & Rehabilitation Sciences, Northeastern University, Boston, MA, USA
| | - Andrés Catena
- Department of Experimental Psychology, Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain
| | - Kirk I Erickson
- Brain Aging & Cognitive Health Lab, Department of Psychology, University of Pittsburgh, 3601 Sennot Square, Pittsburgh, PA, USA
| | - Francisco B Ortega
- PROFITH "PROmoting FITness and Health through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain
| |
Collapse
|
25
|
Rosenberg BM, Mennigen E, Monti MM, Kaiser RH. Functional Segregation of Human Brain Networks Across the Lifespan: An Exploratory Analysis of Static and Dynamic Resting-State Functional Connectivity. Front Neurosci 2020; 14:561594. [PMID: 33363450 PMCID: PMC7752769 DOI: 10.3389/fnins.2020.561594] [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: 05/13/2020] [Accepted: 11/16/2020] [Indexed: 11/22/2022] Open
Abstract
Prior research has shown that during development, there is increased segregation between, and increased integration within, prototypical resting-state functional brain networks. Functional networks are typically defined by static functional connectivity over extended periods of rest. However, little is known about how time-varying properties of functional networks change with age. Likewise, a comparison of standard approaches to functional connectivity may provide a nuanced view of how network integration and segregation are reflected across the lifespan. Therefore, this exploratory study evaluated common approaches to static and dynamic functional network connectivity in a publicly available dataset of subjects ranging from 8 to 75 years of age. Analyses evaluated relationships between age and static resting-state functional connectivity, variability (standard deviation) of connectivity, and mean dwell time of functional network states defined by recurring patterns of whole-brain connectivity. Results showed that older age was associated with decreased static connectivity between nodes of different canonical networks, particularly between the visual system and nodes in other networks. Age was not significantly related to variability of connectivity. Mean dwell time of a network state reflecting high connectivity between visual regions decreased with age, but older age was also associated with increased mean dwell time of a network state reflecting high connectivity within and between canonical sensorimotor and visual networks. Results support a model of increased network segregation over the lifespan and also highlight potential pathways of top-down regulation among networks.
Collapse
Affiliation(s)
- Benjamin M Rosenberg
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Eva Mennigen
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Martin M Monti
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
| | - Roselinde H Kaiser
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, United States
| |
Collapse
|
26
|
Delli Pizzi S, Granzotto A, Bomba M, Frazzini V, Onofrj M, Sensi SL. Acting Before; A Combined Strategy to Counteract the Onset and Progression of Dementia. Curr Alzheimer Res 2020; 17:790-804. [PMID: 33272186 DOI: 10.2174/1567205017666201203085524] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2019] [Revised: 09/10/2020] [Accepted: 10/16/2020] [Indexed: 11/22/2022]
Abstract
Brain aging and aging-related neurodegenerative disorders are posing a significant challenge for health systems worldwide. To date, most of the therapeutic efforts aimed at counteracting dementiarelated behavioral and cognitive impairment have been focused on addressing putative determinants of the disease, such as β-amyloid or tau. In contrast, relatively little attention has been paid to pharmacological interventions aimed at restoring or promoting the synaptic plasticity of the aging brain. The review will explore and discuss the most recent molecular, structural/functional, and behavioral evidence that supports the use of non-pharmacological approaches as well as cognitive-enhancing drugs to counteract brain aging and early-stage dementia.
Collapse
Affiliation(s)
- Stefano Delli Pizzi
- Behavioral Neurology and Molecular Neurology Units, Center for Advanced Studies and Technology, CAST, University G. d'Annunzio of Chieti-Pescara, Pescara, Italy
| | - Alberto Granzotto
- Behavioral Neurology and Molecular Neurology Units, Center for Advanced Studies and Technology, CAST, University G. d'Annunzio of Chieti-Pescara, Pescara, Italy
| | - Manuela Bomba
- Behavioral Neurology and Molecular Neurology Units, Center for Advanced Studies and Technology, CAST, University G. d'Annunzio of Chieti-Pescara, Pescara, Italy
| | - Valerio Frazzini
- AP-HP, Epilepsy Unit, Pitie-Salpetriere Hospital and Brain and Spine Institute (INSERM UMRS1127, CNRS UMR7225, Sorbonne Universite), Pitie-Salpetriere Hospital, Paris, France
| | - Marco Onofrj
- Behavioral Neurology and Molecular Neurology Units, Center for Advanced Studies and Technology, CAST, University G. d'Annunzio of Chieti-Pescara, Pescara, Italy
| | - Stefano L Sensi
- Behavioral Neurology and Molecular Neurology Units, Center for Advanced Studies and Technology, CAST, University G. d'Annunzio of Chieti-Pescara, Pescara, Italy
| |
Collapse
|
27
|
Yeung MK, Chan AS. A Systematic Review of the Application of Functional Near-Infrared Spectroscopy to the Study of Cerebral Hemodynamics in Healthy Aging. Neuropsychol Rev 2020; 31:139-166. [PMID: 32959167 DOI: 10.1007/s11065-020-09455-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 08/28/2020] [Indexed: 12/21/2022]
Abstract
Positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) studies have shown that healthy aging is associated with functional brain deterioration that preferentially affects the prefrontal cortex. This article reviews the application of an alternative method, functional near-infrared spectroscopy (fNIRS), to the study of age-related changes in cerebral hemodynamics and factors that influence cerebral hemodynamics in the elderly population. We conducted literature searches in PudMed and PsycINFO, and selected only English original research articles that used fNIRS to study healthy individuals with a mean age of ≥ 55 years. All articles were published in peer-reviewed journals between 1977 and May 2019. We synthesized 114 fNIRS studies examining hemodynamic changes that occurred in the resting state and during the tasks of sensation and perception, motor control, semantic processing, word retrieval, attentional shifting, inhibitory control, memory, and emotion and motivation in healthy older adults. This review, which was not registered in a registry, reveals an age-related reduction in resting-state cerebral oxygenation and connectivity in the prefrontal cortex. It also shows that aging is associated with a reduction in functional hemispheric asymmetry and increased compensatory activity in the frontal lobe across multiple task domains. In addition, this article describes the beneficial effects of healthy lifestyles and the detrimental effects of cardiovascular disease risk factors on brain functioning among nondemented older adults. Limitations of this review include exclusion of gray and non-English literature and lack of meta-analysis. Altogether, the fNIRS literature provides some support for various neurocognitive aging theories derived from task-based PET and fMRI studies. Because fNIRS is relatively motion-tolerant and environmentally unconstrained, it is a promising tool for fostering the development of aging biomarkers and antiaging interventions.
Collapse
Affiliation(s)
- Michael K Yeung
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, SAR, China.
| | - Agnes S Chan
- Neuropsychology Laboratory, Department of Psychology, The Chinese University of Hong Kong, Shatin, N.T, Hong Kong, SAR, China. .,Chanwuyi Research Center for Neuropsychological Well-being, The Chinese University of Hong Kong, Hong Kong, SAR, China.
| |
Collapse
|
28
|
Keshmiri S. Entropy and the Brain: An Overview. ENTROPY (BASEL, SWITZERLAND) 2020; 22:E917. [PMID: 33286686 PMCID: PMC7597158 DOI: 10.3390/e22090917] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 07/25/2020] [Accepted: 08/19/2020] [Indexed: 12/17/2022]
Abstract
Entropy is a powerful tool for quantification of the brain function and its information processing capacity. This is evident in its broad domain of applications that range from functional interactivity between the brain regions to quantification of the state of consciousness. A number of previous reviews summarized the use of entropic measures in neuroscience. However, these studies either focused on the overall use of nonlinear analytical methodologies for quantification of the brain activity or their contents pertained to a particular area of neuroscientific research. The present study aims at complementing these previous reviews in two ways. First, by covering the literature that specifically makes use of entropy for studying the brain function. Second, by highlighting the three fields of research in which the use of entropy has yielded highly promising results: the (altered) state of consciousness, the ageing brain, and the quantification of the brain networks' information processing. In so doing, the present overview identifies that the use of entropic measures for the study of consciousness and its (altered) states led the field to substantially advance the previous findings. Moreover, it realizes that the use of these measures for the study of the ageing brain resulted in significant insights on various ways that the process of ageing may affect the dynamics and information processing capacity of the brain. It further reveals that their utilization for analysis of the brain regional interactivity formed a bridge between the previous two research areas, thereby providing further evidence in support of their results. It concludes by highlighting some potential considerations that may help future research to refine the use of entropic measures for the study of brain complexity and its function. The present study helps realize that (despite their seemingly differing lines of inquiry) the study of consciousness, the ageing brain, and the brain networks' information processing are highly interrelated. Specifically, it identifies that the complexity, as quantified by entropy, is a fundamental property of conscious experience, which also plays a vital role in the brain's capacity for adaptation and therefore whose loss by ageing constitutes a basis for diseases and disorders. Interestingly, these two perspectives neatly come together through the association of entropy and the brain capacity for information processing.
Collapse
Affiliation(s)
- Soheil Keshmiri
- The Thomas N. Sato BioMEC-X Laboratories, Advanced Telecommunications Research Institute International (ATR), Kyoto 619-0237, Japan
| |
Collapse
|
29
|
Moezzi B, Pratti LM, Hordacre B, Graetz L, Berryman C, Lavrencic LM, Ridding MC, Keage HAD, McDonnell MD, Goldsworthy MR. Characterization of Young and Old Adult Brains: An EEG Functional Connectivity Analysis. Neuroscience 2020; 422:230-239. [PMID: 31806080 DOI: 10.1016/j.neuroscience.2019.08.038] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 08/15/2019] [Accepted: 08/22/2019] [Indexed: 01/01/2023]
Abstract
Brain connectivity studies have reported that functional networks change with older age. We aim to (1) investigate whether electroencephalography (EEG) data can be used to distinguish between individual functional networks of young and old adults; and (2) identify the functional connections that contribute to this classification. Two eyes-open resting-state EEG recording sessions with 64 electrodes for each of 22 younger adults (19-37 years) and 22 older adults (63-85 years) were conducted. For each session, imaginary coherence matrices in delta, theta, alpha, beta and gamma bands were computed. A range of machine learning classification methods were utilized to distinguish younger and older adult brains. A support vector machine (SVM) classifier was 93% accurate in classifying the brains by age group. We report decreased functional connectivity with older age in delta, theta, alpha and gamma bands, and increased connectivity with older age in beta band. Most connections involving frontal, temporal, and parietal electrodes, and more than half of connections involving occipital electrodes, showed decreased connectivity with older age. Slightly less than half of the connections involving central electrodes showed increased connectivity with older age. Functional connections showing decreased strength with older age were not significantly different in electrode-to-electrode distance than those that increased with older age. Most of the connections used by the classifier to distinguish participants by age group belonged to the alpha band. Findings suggest a decrease in connectivity in key networks and frequency bands associated with attention and awareness, and an increase in connectivity of the sensorimotor functional networks with aging during a resting state.
Collapse
Affiliation(s)
- Bahar Moezzi
- Cognitive Ageing and Impairment Neurosciences Laboratory, School of Psychology, Social Work and Social Policy, University of South Australia, Australia.
| | | | - Brenton Hordacre
- School of Health Sciences, University of South Australia, Australia
| | - Lynton Graetz
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Australia
| | - Carolyn Berryman
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Australia
| | - Louise M Lavrencic
- Cognitive Ageing and Impairment Neurosciences Laboratory, School of Psychology, Social Work and Social Policy, University of South Australia, Australia; Neuroscience Research of Australia, Australia
| | - Michael C Ridding
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Australia
| | - Hannah A D Keage
- Cognitive Ageing and Impairment Neurosciences Laboratory, School of Psychology, Social Work and Social Policy, University of South Australia, Australia
| | - Mark D McDonnell
- Computational Learning Systems Laboratory, School of Information Technology and Mathematical Sciences, University of South Australia, Australia
| | | |
Collapse
|
30
|
Age-related differences in cerebral blood flow and cortical thickness with an application to age prediction. Neurobiol Aging 2020; 95:131-142. [PMID: 32798960 DOI: 10.1016/j.neurobiolaging.2020.06.019] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 06/22/2020] [Accepted: 06/25/2020] [Indexed: 01/08/2023]
Abstract
Cerebral cortex thinning and cerebral blood flow (CBF) reduction are typically observed during normal healthy aging. However, imaging-based age prediction models have primarily used morphological features of the brain. Complementary physiological CBF information might result in an improvement in age estimation. In this study, T1-weighted structural magnetic resonance imaging and arterial spin labeling CBF images were acquired in 146 healthy participants across the adult life span. Sixty-eight cerebral cortex regions were segmented, and the cortical thickness and mean CBF were computed for each region. Linear regression with age was computed for each region and data type, and laterality and correlation matrices were computed. Sixteen predictive models were trained with the cortical thickness and CBF data alone as well as a combination of both data types. The age explained more variance in the cortical thickness data (average R2 of 0.21) than in the CBF data (average R2 of 0.09). All 16 models performed significantly better when combining both measurement types and using feature selection, and thus, we conclude that the inclusion of CBF data marginally improves age estimation.
Collapse
|
31
|
Mack DJ, Heinzel S, Pilotto A, Stetz L, Lachenmaier S, Gugolz L, Srulijes K, Eschweiler GW, Sünkel U, Berg D, Ilg UJ. The effect of age and gender on anti-saccade performance: Results from a large cohort of healthy aging individuals. Eur J Neurosci 2020; 52:4165-4184. [PMID: 32575168 DOI: 10.1111/ejn.14878] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 06/08/2020] [Accepted: 06/15/2020] [Indexed: 01/21/2023]
Abstract
By 2050, the global population of people aged 65 years or older will triple. While this is accompanied with an increasing burden of age-associated diseases, it also emphasizes the need to understand the effects of healthy aging on cognitive processes. One such effect is a general slowing of processing speed, which is well documented in many domains. The execution of anti-saccades depends on a well-established brain-wide network ranging from various cortical areas and basal ganglia through the superior colliculus down to the brainstem saccade generators. To clarify the consequences of healthy aging as well as gender on the execution of reflexive and voluntary saccades, we measured a large sample of healthy, non-demented individuals (n = 731, aged 51-84 years) in the anti-saccade task. Age affected various aspects of saccade performance: The number of valid trials decreased with age. Error rate, saccadic reaction times (SRTs), and variability in saccade accuracy increased with age, whereas anti-saccade costs, accuracy, and peak velocity of anti-saccades and direction errors were not affected by age. Gender affected SRTs independent of age and saccade type with male participants having overall shorter SRTs. Our rigid and solid statistical testing using linear mixed-effect models provide evidence for a uniform slowing of processing speed independent of the actually performed eye movement. Our data do not support the assumption of a specific deterioration of frontal lobe functions with aging.
Collapse
Affiliation(s)
- David J Mack
- Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,Department of Neurodegeneration, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany
| | - Sebastian Heinzel
- Department of Neurodegeneration, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,Department of Neurology, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Andrea Pilotto
- Department of Neurodegeneration, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Lena Stetz
- Department of Neurodegeneration, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Sandra Lachenmaier
- Department of Neurodegeneration, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Leonie Gugolz
- Department of Neurodegeneration, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Karin Srulijes
- Department of Neurodegeneration, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,Department of Geriatrics and Clinic of Geriatric Rehabilitation, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Gerhard W Eschweiler
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany.,Geriatric Center, University Hospital Tübingen, Tübingen, Germany
| | - Ulrike Sünkel
- Department of Neurodegeneration, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Daniela Berg
- Department of Neurodegeneration, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,Department of Neurology, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - Uwe J Ilg
- Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany
| |
Collapse
|
32
|
Anomalous intrinsic connectivity within and between visual and auditory networks in major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2020; 100:109889. [PMID: 32067960 DOI: 10.1016/j.pnpbp.2020.109889] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 01/30/2020] [Accepted: 02/14/2020] [Indexed: 01/07/2023]
Abstract
OBJECTIVE Major depressive disorder (MDD) is a ubiquitous mental illness with heterogeneous symptoms, however, the pathophysiology mechanisms are still not fully understood. Clinical and preclinical studies suggested that depression could cause disturbances in sensory perception systems, disruptions in auditory and visual functions may serve as an essential clinical features underlying MDD. METHODS The current study investigated the abnormal intrinsic connectivity within and between visual and auditory networks in 95 MDD patients and 97 age-, gender-, education level-matched healthy controls (HCs) by using resting-state functional magnetic resonance imaging (fMRI). One auditory network (AN) and three visual components including visual component 1 (VC1), VC2, and VC3 were identified by using independent component analysis method based on the fMRI networks during the resting state with the largest spatial correlations, combining with brain regions and specific network templates. RESULTS We found that MDD could be characterized by the following disrupted network model relative to HCs: (i) reduced within-network connectivity in the AN, VC2, and VC3; (ii) reduced between-network connectivity between the AN and the VC3. Furthermore, aberrant functional connectivity (FC) within the visual network was linked to the clinical symptoms. CONCLUSIONS Overall, our results demonstrated that abnormalities of FC in perception systems including intrinsic visual and auditory networks may explain neurobiological mechanisms underlying MDD and could serve as a potential effective biomarker.
Collapse
|
33
|
Li Q, Dong C, Liu T, Chen X, Perry A, Jiang J, Cheng J, Niu H, Kochan NA, Brodaty H, Sachdev PS, Wen W. Longitudinal Changes in Whole-Brain Functional Connectivity Strength Patterns and the Relationship With the Global Cognitive Decline in Older Adults. Front Aging Neurosci 2020; 12:71. [PMID: 32256339 PMCID: PMC7090100 DOI: 10.3389/fnagi.2020.00071] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Accepted: 02/26/2020] [Indexed: 12/12/2022] Open
Abstract
Aging is associated with changes in brain functional patterns as well as cognition. The present research sought to investigate longitudinal changes in whole brain functional connectivity strength (FCS) and cognitive performance scores in very old cognitively unimpaired individuals. We studied 34 cognitively normal elderly individuals at both baseline and 4-year follow-up (baseline age = 78 ± 3.14 years) with resting-state functional magnetic resonance imaging (r-fMRI), structural MRI scans, and neuropsychological assessments conducted. Voxel-based whole brain FCS was calculated and we found that bilateral superior parietal and medial frontal regions showed decreased FCS, while the supplementary motor area (SMA) and insula showed increased FCS with age, along with a decrease in bilateral prefrontal cortical thickness. The changes of FCS in left precuneus were associated with an aging-related decline in global cognition. Taken together, our results suggest changes in FCS with aging with the precuneus as a hub and this may underlie changes in global cognition that accompany aging. These findings help better understand the normal aging mechanism.
Collapse
Affiliation(s)
- Qiongge Li
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Chao Dong
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Centre for Healthy Brain Aging, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Tao Liu
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China.,Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China
| | - Xiaodan Chen
- National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Alistair Perry
- Max Planck UCL Centre for Computational Psychiatry and Aging Research, Berlin, Germany
| | - Jiyang Jiang
- Centre for Healthy Brain Aging, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Jian Cheng
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China
| | - Haijun Niu
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China
| | - Nicole A Kochan
- Centre for Healthy Brain Aging, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Aging, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Dementia Centre for Research Collaboration, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Aging, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia.,Dementia Centre for Research Collaboration, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Wei Wen
- Centre for Healthy Brain Aging, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| |
Collapse
|
34
|
Zhao J, Manza P, Wiers C, Song H, Zhuang P, Gu J, Shi Y, Wang GJ, He D. Age-Related Decreases in Interhemispheric Resting-State Functional Connectivity and Their Relationship With Executive Function. Front Aging Neurosci 2020; 12:20. [PMID: 32161532 PMCID: PMC7054233 DOI: 10.3389/fnagi.2020.00020] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Accepted: 01/21/2020] [Indexed: 11/13/2022] Open
Abstract
Age-related alterations of functional brain networks contribute to cognitive decline. Current theories indicate that age-related intrinsic brain functional reorganization may be a critical marker of cognitive aging. Yet, little is known about how intrinsic interhemispheric functional connectivity changes with age in adults, and how this relates to critical executive functions. To address this, we examined voxel-mirrored homotopic connectivity (VMHC), a metric that quantifies interhemispheric communication, in 93 healthy volunteers (age range: 19-85) with executive function assessment using the Delis-Kaplan Executive Function System (D-KEFS) scales. Resting functional MRI data were analyzed to assess VMHC, and then a multiple linear regression model was employed to evaluate the relationship between age and the whole-brain VMHC. We observed age-related reductions in VMHC of ventromedial prefrontal cortex (vmPFC) and hippocampus in the medial temporal lobe subsystem, dorsal anterior cingulate cortex and insula in salience network, and inferior parietal lobule in frontoparietal control network. Performance on the color-word inhibition task was associated with VMHC of vmPFC and insula, and VMHC of vmPFC mediated the relationship between age and CWIT inhibition reaction times. The percent ratio of correct design scores in design fluency test correlated positively with VMHC of the inferior parietal lobule. The current study suggests that brain interhemispheric functional alterations may be a promising new avenue for understanding age-related cognitive decline.
Collapse
Affiliation(s)
- Jizheng Zhao
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States
| | - Corinde Wiers
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States
| | - Huaibo Song
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China
| | - Puning Zhuang
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China
| | - Jun Gu
- Department of Endocrinology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China
| | - Yinggang Shi
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States
| | - Dongjian He
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China
| |
Collapse
|
35
|
Abdelkarim D, Zhao Y, Turner MP, Sivakolundu DK, Lu H, Rypma B. A neural-vascular complex of age-related changes in the human brain: Anatomy, physiology, and implications for neurocognitive aging. Neurosci Biobehav Rev 2019; 107:927-944. [DOI: 10.1016/j.neubiorev.2019.09.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 08/02/2019] [Accepted: 09/02/2019] [Indexed: 01/09/2023]
|
36
|
Hampel H, Lista S, Neri C, Vergallo A. Time for the systems-level integration of aging: Resilience enhancing strategies to prevent Alzheimer’s disease. Prog Neurobiol 2019; 181:101662. [DOI: 10.1016/j.pneurobio.2019.101662] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Revised: 06/26/2019] [Accepted: 07/14/2019] [Indexed: 01/13/2023]
|
37
|
Neural correlates of victimization in psychosis: differences in brain response to angry faces. NPJ SCHIZOPHRENIA 2019; 5:14. [PMID: 31501442 PMCID: PMC6733807 DOI: 10.1038/s41537-019-0082-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 08/02/2019] [Indexed: 11/24/2022]
Abstract
Individuals with psychosis are at an increased risk of victimization. Processing of facial expressions has been suggested to be associated with victimization in this patient group. Especially processing of angry expressions may be relevant in the context of victimization. Therefore, differences in brain activation and connectivity between victimized and nonvictimized patients during processing of angry faces were investigated. Thirty-nine patients, of whom nineteen had experienced threats, assaults, or sexual violence in the past 5 years, underwent fMRI scanning, during which they viewed angry and neutral facial expressions. Using general linear model (GLM) analyses, generalized psychophysiological (gPPI) analysis and independent component analyses (ICA) differences in brain activation and connectivity between groups in response to angry faces were investigated. Whereas differences in regional brain activation GLM and gPPI analyses yielded no differences between groups, ICA revealed more deactivation of the sensorimotor network in victimized participants. Deactivation of the sensorimotor network in response to angry faces in victimized patients, might indicate a freeze reaction to threatening stimuli, previously observed in traumatized individuals.
Collapse
|
38
|
Zhao X, Yao LI, Chen K, Li KE, Zhang J, Guo X. Changes in the Functional and Structural Default Mode Network across the Adult Lifespan Based on Partial Least Squares. IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2019; 7:82256-82265. [PMID: 33224696 PMCID: PMC7677917 DOI: 10.1109/access.2019.2923274] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
The default mode network (DMN) has been extensively investigated in the literature. However, previous studies have mainly focused on age-related changes in the DMN between old and young participants. Age-dependent changes in specific regions within the DMN have not been adequately explored across the entire adult lifespan. Thus, in the present study, we performed a seed partial least squares (PLS) analysis to investigate lifespan-wide changes in the regions of the functional and structural DMNs using resting-state functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging (MRI) data from healthy subjects aged 16-85 years. The posterior cingulate area was selected as the seed region based on prior fMRI studies. The single-group functional connectivity analysis showed a stable connection between the seed and the posterior cingulate cortex (PCC), middle temporal gyrus (MTG) and inferior temporal gyrus (ITG); a decreased connection between the seed and the medial prefrontal cortex (MPFC), anterior cingulate cortex (ACC) and superior frontal gyrus (SFG); and an increased connection between the seed and the precuneus (PreC), inferior parietal lobule (IPL) and middle frontal gyrus (MFG) across the entire lifespan. In contrast, in the single-group structural covariance analysis, the covariance connections of the seed to the DMN regions demonstrated a stable covariance trend to the PCC, MTG, superior temporal gyrus (STG) and ITG; an inverted U-shaped covariance trend to the MPFC, ACC, SFG, MFG and inferior frontal gyrus (IFG); and a U-shaped covariance trend to the PreC with age. Full-group analyses found significant linear decreases in functional and structural DMN integrity. Our findings provide crucial information regarding the influence of age on the function and structure of the DMN and may contribute to the understanding of the underlying mechanism of age-related changes in the DMN over the lifespan.
Collapse
Affiliation(s)
- Xiaoyu Zhao
- College of Information Science and Technology, Beijing Normal University, Beijing, China
- College of Information Engineering, Ordos Institute of Technology, Ordos, China
| | - L I Yao
- College of Information Science and Technology, Beijing Normal University, Beijing, China
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, Arizona, USA
- Shanghai Green Valley Pharmaceutical Co Ltd, Shanghai, China
| | - K E Li
- Laboratory of Magnetic Resonance Imaging, Beijing 306 Hospital, Beijing, China
| | - Jiacai Zhang
- College of Information Science and Technology, Beijing Normal University, Beijing, China
- Beijing Advanced Innovation Center for Future Education, Beijing Normal University, Beijing, China
| | - Xiaojuan Guo
- College of Information Science and Technology, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| |
Collapse
|
39
|
Chiesa PA, Cavedo E, Vergallo A, Lista S, Potier M, Habert M, Dubois B, Thiebaut de Schotten M, Hampel H. Differential default mode network trajectories in asymptomatic individuals at risk for Alzheimer's disease. Alzheimers Dement 2019; 15:940-950. [DOI: 10.1016/j.jalz.2019.03.006] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 01/25/2019] [Accepted: 03/04/2019] [Indexed: 11/16/2022]
Affiliation(s)
- Patrizia A. Chiesa
- Sorbonne University, GRC no 21Alzheimer Precision Medicine (APM), AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Department of NeurologyInstitute of Memory and Alzheimer's Disease (IM2A)Pitié‐Salpêtrière Hospital, AP‐HPBoulevard de l'hôpitalParisFrance
| | - Enrica Cavedo
- Sorbonne University, GRC no 21Alzheimer Precision Medicine (APM), AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Department of NeurologyInstitute of Memory and Alzheimer's Disease (IM2A)Pitié‐Salpêtrière Hospital, AP‐HPBoulevard de l'hôpitalParisFrance
| | - Andrea Vergallo
- Sorbonne University, GRC no 21Alzheimer Precision Medicine (APM), AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Department of NeurologyInstitute of Memory and Alzheimer's Disease (IM2A)Pitié‐Salpêtrière Hospital, AP‐HPBoulevard de l'hôpitalParisFrance
| | - Simone Lista
- Sorbonne University, GRC no 21Alzheimer Precision Medicine (APM), AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Department of NeurologyInstitute of Memory and Alzheimer's Disease (IM2A)Pitié‐Salpêtrière Hospital, AP‐HPBoulevard de l'hôpitalParisFrance
| | - Marie‐Claude Potier
- ICM Institut du Cerveau et de la Moelleépinière, CNRS UMR7225, INSERM U1127, UPMCHôpital de la Pitié‐Salpêtrière, 47 Bd de l'HôpitalParisFrance
| | - Marie‐Odile Habert
- Laboratoire d'Imagerie BiomédicaleSorbonne Université, INSERM U 1146, CNRS UMRParisFrance
- Department of Nuclear Medicine, AP‐HPHôpitalPitié‐SalpêtrièreParisFrance
- Centre Acquisition et Traitement des Images (CATI)ParisFrance
| | - Bruno Dubois
- Sorbonne University, GRC no 21Alzheimer Precision Medicine (APM), AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Department of NeurologyInstitute of Memory and Alzheimer's Disease (IM2A)Pitié‐Salpêtrière Hospital, AP‐HPBoulevard de l'hôpitalParisFrance
| | - Michel Thiebaut de Schotten
- Brain & Spine Institute (ICM), INSERM U 1127, CNRS UMR 7225Boulevard de l'hôpitalParisFrance
- Laboratory of Alzheimer's Neuroimaging and EpidemiologyIRCCS Centro San Giovanni di Dio FatebenefratelliBresciaItaly
- Brain Connectivity Behaviour LaboratorySorbonne UniversitiesParisFrance
- Groupe d'Imagerie NeurofonctionnelleInstitut des Maladies Neurodégénératives‐UMR 5293CNRSCEA University of BordeauxBordeauxFrance
| | - Harald Hampel
- Sorbonne University, GRC no 21Alzheimer Precision Medicine (APM), AP‐HPPitié‐Salpêtrière HospitalBoulevard de l'hôpitalParisFrance
| | | | | |
Collapse
|
40
|
Functional segregation of executive control network and frontoparietal network in Alzheimer's disease. Cortex 2019; 120:36-48. [PMID: 31228791 DOI: 10.1016/j.cortex.2019.04.026] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 03/21/2019] [Accepted: 04/10/2019] [Indexed: 12/12/2022]
Abstract
Functional connectivity pattern altered of default mode network (DMN) is gaining more attention as a potential noninvasive biomarker to diagnose incipient Alzheimer's disease. However, the changed functional connectivity except for DMN, the longitudinal changes in executive control network (ECN) and frontoparietal network (FPN) also has attracted wide interest. Moreover, AD-related functional connectivity abnormalities within the DMN are well replicated research, but the (increased/decreased and reduced) functional connectivity in ECN and FPN weren't receive adequate attention. To address the above issues, in this paper, we adopt sparse inverse covariance estimation (SICE) approach to investigate the changed functional connectivity of ECN and FPN on the ADNI2 dataset. Our experimental results indicate the left superior frontal gyrus (SFGmed.L) and left thalamus (THA.L) regions of ECN has shown increased functional connectivity, the left anterior cingulate (ACG.L) region of ECN has shown decreased functional connectivity. The Superior Parietal Gyrus (SPG) regions and left paracentral lobule (PCL.L) of FPN has shown increased functional connectivity, the left supramarginal gyrus (SMG.L) regions has shown decreased functional connectivity in AD patients. On the other hand, the ACG.L regions in ECN, SMG.L and left inferior parietal (IPL.L) in FPN have shown significantly reduced functional connectivity. These results demonstrate that increased/decreased functional connectivity and reduced functional connectivity not only within DMN, but also associated with ECN and FPN. It also suggest that AD is associated with the characteristics of large-scale functional networks, and these changed functional connectivity possibly as a potential noninvasive biomarker to diagnose incipient Alzheimer's disease.
Collapse
|
41
|
Zhao Q, Kwon D, Müller-Oehring EM, Le Berre AP, Pfefferbaum A, Sullivan EV, Pohl KM. Longitudinally consistent estimates of intrinsic functional networks. Hum Brain Mapp 2019; 40:2511-2528. [PMID: 30806009 PMCID: PMC6497087 DOI: 10.1002/hbm.24541] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 01/08/2019] [Accepted: 02/04/2019] [Indexed: 12/17/2022] Open
Abstract
Increasing numbers of neuroimaging studies are acquiring data to examine changes in brain architecture by investigating intrinsic functional networks (IFN) from longitudinal resting-state functional MRI (rs-fMRI). At the subject level, these IFNs are determined by cross-sectional procedures, which neglect intra-subject dependencies and result in suboptimal estimates of the networks. Here, a novel longitudinal approach simultaneously extracts subject-specific IFNs across multiple visits by explicitly modeling functional brain development as an essential context for seeking change. On data generated by an innovative simulation based on real rs-fMRI, the method was more accurate in estimating subject-specific IFNs than cross-sectional approaches. Furthermore, only group-analysis based on longitudinally consistent estimates identified significant developmental effects within IFNs of 246 adolescents from the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) study. The findings were confirmed by the cross-sectional estimates when the corresponding group analysis was confined to the developmental effects. Those effects also converged with current concepts of neurodevelopment.
Collapse
Affiliation(s)
- Qingyu Zhao
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Dongjin Kwon
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California.,Center for Health Sciences, SRI International, Menlo Park, California
| | - Eva M Müller-Oehring
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California.,Center for Health Sciences, SRI International, Menlo Park, California
| | - Anne-Pascale Le Berre
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Adolf Pfefferbaum
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California.,Center for Health Sciences, SRI International, Menlo Park, California
| | - Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California
| | - Kilian M Pohl
- Center for Health Sciences, SRI International, Menlo Park, California
| |
Collapse
|
42
|
Rosemann S, Thiel CM. The effect of age-related hearing loss and listening effort on resting state connectivity. Sci Rep 2019; 9:2337. [PMID: 30787339 PMCID: PMC6382886 DOI: 10.1038/s41598-019-38816-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 01/10/2019] [Indexed: 12/22/2022] Open
Abstract
Age-related hearing loss is associated with a decrease in hearing abilities for high frequencies. This increases not only the difficulty to understand speech but also the experienced listening effort. Task based neuroimaging studies in normal-hearing and hearing-impaired participants show an increased frontal activation during effortful speech perception in the hearing-impaired. Whether the increased effort in everyday listening in hearing-impaired even impacts functional brain connectivity at rest is unknown. Nineteen normal-hearing and nineteen hearing-impaired participants with mild to moderate hearing loss participated in the study. Hearing abilities, listening effort and resting state functional connectivity were assessed. Our results indicate no differences in functional connectivity between hearing-impaired and normal-hearing participants. Increased listening effort, however, was related to significantly decreased functional connectivity between the dorsal attention network and the precuneus and superior parietal lobule as well as between the auditory and the inferior frontal cortex. We conclude that already mild to moderate age-related hearing loss can impact resting state functional connectivity. It is however not the hearing loss itself but the individually perceived listening effort that relates to functional connectivity changes.
Collapse
Affiliation(s)
- Stephanie Rosemann
- Biological Psychology, Department of Psychology, School of Medicine and Health Sciences, Carl-von-Ossietzky Universität Oldenburg, Oldenburg, Germany. .,Cluster of Excellence "Hearing4all", Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
| | - Christiane M Thiel
- Biological Psychology, Department of Psychology, School of Medicine and Health Sciences, Carl-von-Ossietzky Universität Oldenburg, Oldenburg, Germany.,Cluster of Excellence "Hearing4all", Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany
| |
Collapse
|
43
|
Xiang J, Xue J, Guo H, Li D, Cui X, Niu Y, Yan T, Cao R, Ma Y, Yang Y, Wang B. Graph-based network analysis of resting-state fMRI: test-retest reliability of binarized and weighted networks. Brain Imaging Behav 2019; 14:1361-1372. [DOI: 10.1007/s11682-019-00042-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
|
44
|
Patterns of functional connectivity in an aging population: The Rotterdam Study. Neuroimage 2019; 189:432-444. [PMID: 30659958 DOI: 10.1016/j.neuroimage.2019.01.041] [Citation(s) in RCA: 100] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Revised: 01/09/2019] [Accepted: 01/15/2019] [Indexed: 12/22/2022] Open
Abstract
Structural brain markers are studied extensively in the field of neurodegeneration, but are thought to occur rather late in the process. Functional measures such as functional connectivity are gaining interest as potentially more subtle markers of neurodegeneration. However, brain structure and function are also affected by 'normal' brain ageing. More information is needed on how functional connectivity relates to aging, particularly in the absence of overt neurodegenerative disease. We investigated the association of age with resting-state functional connectivity in 2878 non-demented persons between 50 and 95 years of age (54.1% women) from the population-based Rotterdam Study. We obtained nine well-known resting state networks using data-driven methodology. Within the anterior default mode network, ventral attention network, and sensorimotor network, functional connectivity was significantly lower with older age. In contrast, functional connectivity was higher with older age within the visual network. Between resting state networks, we found patterns of both increases and decreases in connectivity in approximate equal proportions. Our results reinforce the notion that the aging brain undergoes a reorganization process, and serves as a solid basis for exploring functional connectivity as a preclinical marker of neurodegenerative disease.
Collapse
|
45
|
Dodich A, Zollo M, Crespi C, Cappa SF, Laureiro Martinez D, Falini A, Canessa N. Short-term Sahaja Yoga meditation training modulates brain structure and spontaneous activity in the executive control network. Brain Behav 2019; 9:e01159. [PMID: 30485713 PMCID: PMC6346416 DOI: 10.1002/brb3.1159] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Revised: 10/06/2018] [Accepted: 10/15/2018] [Indexed: 11/12/2022] Open
Abstract
INTRODUCTION While cross-sectional studies have shown neural changes in long-term meditators, they might be confounded by self-selection and potential baseline differences between meditators and non meditators. Prospective longitudinal studies of the effects of meditation in naïve subjects are more conclusive with respect to causal inferences, but related evidence is so far limited. METHODS Here, we assessed the effects of a 4-week Sahaja Yoga meditation training on gray matter density and spontaneous resting-state brain activity in a group of 12 meditation-naïve healthy adults. RESULTS Compared with 30 control subjects, the participants to meditation training showed increased gray matter density and changes in the coherence of intrinsic brain activity in two adjacent regions of the right inferior frontal gyrus encompassing the anterior component of the executive control network. Both these measures correlated with self-reported well-being scores in the meditation group. CONCLUSIONS The significant impact of a brief meditation training on brain regions associated with attention, self-control, and self-awareness may reflect the engagement of cognitive control skills in searching for a state of mental silence, a distinctive feature of Sahaja Yoga meditation. The manifold implications of these findings involve both managerial and rehabilitative settings concerned with well-being and emotional state in normal and pathological conditions.
Collapse
Affiliation(s)
- Alessandra Dodich
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy.,NIMTlab, University of Geneva, Geneva, Switzerland
| | - Maurizio Zollo
- Invernizzi Center for Research in Innovation, Organization and Strategy, Bocconi University, Milan, Italy
| | - Chiara Crespi
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy.,NeTS Center, Scuola Universitaria Superiore IUSS, Pavia, Italy
| | - Stefano F Cappa
- NeTS Center, Scuola Universitaria Superiore IUSS, Pavia, Italy.,IRCCS San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | - Andrea Falini
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy.,Neuroradiology Unit, San Raffaele Scientific Institute, Milan, Italy
| | - Nicola Canessa
- NeTS Center, Scuola Universitaria Superiore IUSS, Pavia, Italy.,Cognitive Neuroscience Laboratory, ICS Maugeri, Pavia, Italy
| |
Collapse
|
46
|
Rosch KS, Mostofsky SH, Nebel MB. ADHD-related sex differences in fronto-subcortical intrinsic functional connectivity and associations with delay discounting. J Neurodev Disord 2018; 10:34. [PMID: 30541434 PMCID: PMC6292003 DOI: 10.1186/s11689-018-9254-9] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Accepted: 11/14/2018] [Indexed: 01/12/2023] Open
Abstract
Background Attention-deficit/hyperactivity disorder (ADHD) is associated with atypical fronto-subcortical neural circuitry and heightened delay discounting, or a stronger preference for smaller, immediate rewards over larger, delayed rewards. Recent evidence of ADHD-related sex differences in brain structure and function suggests anomalies in fronto-subcortical circuitry may differ among girls and boys with ADHD. The current study examined whether the functional connectivity (FC) within fronto-subcortical neural circuitry differs among girls and boys with ADHD compared to same-sex typically developing (TD) controls and relates to delay discounting. Methods Participants include 8–12-year-old children with ADHD (n = 72, 20 girls) and TD controls (n = 75, 21 girls). Fronto-subcortical regions of interest were functionally defined by applying independent component analysis to resting-state fMRI data. Intrinsic FC between subcortical components, including the striatum and amygdala, and prefrontal components, including ventromedial prefrontal cortex (vmPFC), anterior cingulate cortex (ACC), and anterior dorsolateral prefrontal cortex (dlPFC), was compared across diagnostic groups overall and within sex. Correlations between intrinsic FC of the six fronto-subcortical pairs and delay discounting were also examined. Results Both girls and boys with ADHD show atypical FC between vmPFC and subcortical regions including the striatum (stronger positive FC in ADHD) and amygdala (weaker negative FC in ADHD), with the greatest diagnostic effects among girls. In addition, girls with ADHD show atypical intrinsic FC between the striatum and dlPFC components, including stronger positive FC with ACC and stronger negative FC with dlPFC. Further, girls but not boys, with ADHD, show heightened real-time delay discounting. Brain–behavior correlations suggest (1) stronger negative FC between the striatal and dlPFC components correlated with greater money delay discounting across all participants and (2) stronger FC between the amygdala with both the dlPFC and ACC components was differentially related to heightened real-time discounting among girls and boys with and without ADHD. Conclusions Our findings suggest fronto-subcortical functional networks are affected in children with ADHD, particularly girls, and relate to delay discounting. These results also provide preliminary evidence of greater disruptions in fronto-subcortical FC among girls with ADHD that is not due to elevated inattention symptom severity, intellectual reasoning ability, age, or head motion. Electronic supplementary material The online version of this article (10.1186/s11689-018-9254-9) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Keri S Rosch
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, 21205, USA. .,Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, 21205, USA. .,Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
| | - Stewart H Mostofsky
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, 21205, USA.,Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mary Beth Nebel
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| |
Collapse
|
47
|
Fountain-Zaragoza S, Samimy S, Rosenberg MD, Prakash RS. Connectome-based models predict attentional control in aging adults. Neuroimage 2018; 186:1-13. [PMID: 30394324 DOI: 10.1016/j.neuroimage.2018.10.074] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 10/24/2018] [Accepted: 10/26/2018] [Indexed: 12/23/2022] Open
Abstract
There are well-characterized age-related differences in behavioral and neural responses to tasks of attentional control. However, there is also increasing recognition of individual variability in the process of neurocognitive aging. Using connectome-based predictive modeling, a method for predicting individual-level behaviors from whole-brain functional connectivity, a sustained attention connectome-based prediction model (saCPM) has been derived in young adults. The saCPM consists of two large-scale functional networks: a high-attention network whose strength predicts better attention and a low-attention network whose strength predicts worse attention. Here we examined the generalizability of the saCPM for predicting inhibitory control in an aging sample. Forty-two healthy young adults (n = 21, ages 18-30) and older adults (n = 21, ages 60-80) performed a modified Stroop task, on which older adults exhibited poorer performance, indexed by higher reaction time cost between incongruent and congruent trials. The saCPM generalized to predict reaction time cost across age groups, but did not account for age-related differences in performance. Exploratory analyses were conducted to characterize the effects of age on functional connectivity and behavior. We identified subnetworks of the saCPM that exhibited age-related differences in strength. The strength of two low-attention subnetworks, consisting of frontoparietal, medial frontal, default mode, and motor nodes that were more strongly connected in older adults, mediated the effect of age group on performance. These results support the saCPM's ability to capture attention-related patterns reflected in each individual's functional connectivity signature across both task context and age. However, older and younger adults exhibit functional connectivity differences within components of the saCPM networks, and it is these connections that better account for age-related deficits in attentional control.
Collapse
Affiliation(s)
| | - Shaadee Samimy
- Department of Psychology, The Ohio State University, USA
| | | | | |
Collapse
|
48
|
Delli Pizzi S, Punzi M, Sensi SL. Functional signature of conversion of patients with mild cognitive impairment. Neurobiol Aging 2018; 74:21-37. [PMID: 30408719 DOI: 10.1016/j.neurobiolaging.2018.10.004] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Revised: 09/24/2018] [Accepted: 10/04/2018] [Indexed: 02/05/2023]
Abstract
The entorhinal-hippocampal circuit is a strategic hub for cognition and the first site affected by Alzheimer's disease (AD). We investigated magnetic resonance imaging patterns of brain atrophy and functional connectivity in an Alzheimer's Disease Neuroimaging Initiative data set that included healthy controls, mild cognitive impairment (MCI), and patients with AD. Individuals with MCI were clinically evaluated 24 months after the first magnetic resonance imaging scan, and the cohort subdivided into sets of individuals who either did or did not convert to AD. The MCI group was also divided into patients who did show or not the presence of AD-related alterations in the cerebrospinal fluid. Patients with AD exhibited the collapse of the long-range hippocampal/entorhinal connectivity, pronounced cortical/subcortical atrophy, and a dramatic decline in cognitive performances. Patients with MCI who converted to AD or patients with MCI who showed the presence of AD-related alterations in the cerebrospinal fluid showed memory deficits, entorhinal/hippocampal hypoconnectivity, and concomitant atrophy of the two regions. Patients with MCI who did not convert to AD or patients with MCI who did not show the presence of AD-related alterations in the cerebrospinal fluid had no atrophy but showed hippocampal/entorhinal hyperconnectivity with selected neocortical/subcortical regions involved in memory processing and brain metastability. This hyperconnectivity may represent a compensatory strategy against the progression of cognitive impairment.
Collapse
Affiliation(s)
- Stefano Delli Pizzi
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy; Center for excellence on Aging and Translational Medicine - Ce.S.I. - Me.T., "G. d'Annunzio" University, Chieti, Italy
| | - Miriam Punzi
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy; Center for excellence on Aging and Translational Medicine - Ce.S.I. - Me.T., "G. d'Annunzio" University, Chieti, Italy
| | - Stefano L Sensi
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University, Chieti, Italy; Center for excellence on Aging and Translational Medicine - Ce.S.I. - Me.T., "G. d'Annunzio" University, Chieti, Italy; Departments of Neurology and Pharmacology, Institute for Memory Impairments and Neurological Disorders, University of California-Irvine, Irvine, CA, USA.
| |
Collapse
|
49
|
Wu L, Caprihan A, Bustillo J, Mayer A, Calhoun V. An approach to directly link ICA and seed-based functional connectivity: Application to schizophrenia. Neuroimage 2018; 179:448-470. [PMID: 29894827 PMCID: PMC6072460 DOI: 10.1016/j.neuroimage.2018.06.024] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2017] [Revised: 06/05/2018] [Accepted: 06/07/2018] [Indexed: 12/13/2022] Open
Abstract
Independent component analysis (ICA) and seed-based analyses are widely used techniques for studying intrinsic neuronal activity in task-based or resting scans. In this work, we show there is a direct link between the two, and show that there are some important differences between the two approaches in terms of what information they capture. We developed an enhanced connectivity-matrix independent component analysis (cmICA) for calculating whole brain voxel maps of functional connectivity, which reduces the computational complexity of voxel-based connectivity analysis on performing many temporal correlations. We also show there is a mathematical equivalency between parcellations on voxel-to-voxel functional connectivity and simplified cmICA. Next, we used this cost-efficient data-driven method to examine the resting state fMRI connectivity in schizophrenia patients (SZ) and healthy controls (HC) on a whole brain scale and further quantified the relationship between brain functional connectivity and cognitive performances measured by the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) battery. Current results suggest that SZ exhibit a wide-range abnormality, primarily a decrease, in functional connectivity both between networks and within different network hubs. Specific functional connectivity decreases were associated with MATRICS performance deficits. In addition, we found that resting state functional connectivity decreases was extensively associated with aging regardless of groups. In contrast, there was no relationship between positive and negative symptoms in the patients and functional connectivity. In sum, we have developed a novel mathematical relationship between ICA and seed-based connectivity that reduces computational complexity, which has broad applicability, and showed a specific application of this approach to characterize connectivity changes associated with cognitive scores in SZ.
Collapse
Affiliation(s)
- Lei Wu
- The Mind Research Network, Albuquerque, NM, 87106, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, 87131, USA.
| | | | - Juan Bustillo
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, 87131, USA
| | - Andrew Mayer
- The Mind Research Network, Albuquerque, NM, 87106, USA
| | - Vince Calhoun
- The Mind Research Network, Albuquerque, NM, 87106, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, 87131, USA; Department of Psychiatry, University of New Mexico, Albuquerque, NM, 87131, USA
| |
Collapse
|
50
|
Bråthen ACS, de Lange AMG, Rohani DA, Sneve MH, Fjell AM, Walhovd KB. Multimodal cortical and hippocampal prediction of episodic-memory plasticity in young and older adults. Hum Brain Mapp 2018; 39:4480-4492. [PMID: 30004603 DOI: 10.1002/hbm.24287] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 05/20/2018] [Accepted: 06/16/2018] [Indexed: 12/31/2022] Open
Abstract
Episodic memory can be trained in both early and late adulthood, but there is considerable variation in cognitive improvement across individuals. Which brain characteristics make some individuals benefit more than others? We used a multimodal approach to investigate whether volumetric magnetic resonance imaging (MRI) and resting-state functional MRI characteristics of the cortex and hippocampus, brain regions involved in episodic-memory function, were predictive of cognitive improvement after memory training. We hypothesized that these brain characteristics would differentially predict memory improvement in young and older adults, given the vulnerability of cortical regions as well as the hippocampus to healthy aging. Following structural and resting-state activity magnetic resonance scans, 50 young and 76 older participants completed 10 weeks of strategic episodic-memory training. Both age groups improved their memory performance, but the young adults more so than the older. Vertex-wise analyses of cortical volume showed no significant relation to memory benefit. When analyzing the two age groups separately, hippocampal volume was predictive of memory improvement in the group of older participants only. In this age group, the lower resting-state activity of the hippocampus was also predictive of memory improvement. Both volumetric and resting-state characteristics of the hippocampus explained unique variance of the improvement in the older participants suggesting that a multimodal imaging approach is valuable for the understanding of mechanisms underlying memory plasticity in aging.
Collapse
Affiliation(s)
- Anne Cecilie Sjøli Bråthen
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Ann-Marie Glasø de Lange
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Darius A Rohani
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Markus H Sneve
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| |
Collapse
|