1
|
Pindus DM, Ai M, Chaddock-Heyman L, Burzynska AZ, Gothe NP, Salerno EA, Fanning J, Arnold Anteraper SRA, Castanon AN, Whitfield-Gabrieli S, Hillman CH, McAuley E, Kramer AF. Physical activity-related individual differences in functional human connectome are linked to fluid intelligence in older adults. Neurobiol Aging 2024; 137:94-104. [PMID: 38460470 DOI: 10.1016/j.neurobiolaging.2024.02.002] [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: 07/06/2023] [Revised: 02/01/2024] [Accepted: 02/03/2024] [Indexed: 03/11/2024]
Abstract
The study examined resting state functional connectivity (rs-FC) associated with moderate-to-vigorous physical activity (MV-PA), sedentary time (ST), TV viewing, computer use, and their relationship to cognitive performance in older adults. We used pre-intervention data from 119 participants from the Fit & Active Seniors trial. Multivariate pattern analysis revealed two seeds associated with MV-PA: right superior frontal gyrus (SFG; spanning frontoparietal [FPN] and ventral attention networks [VAN]) and right precentral (PrG) and postcentral gyri (PoG) of the somatosensory network (SN). A positive correlation between the right SFG seed and a cluster spanning default mode (DMN), dorsal attention (DAN), FPN, and visual networks (VIS) was linked to higher fluid intelligence, as was FC between the right PrG/PoG seed and a cluster in VIS. No significant rs-FC patterns associated with ST, TV viewing, or computer use were found. Our findings suggest that greater functional integration within networks implementing top-down control and within those supporting visuospatial abilities, paired with segregation between networks critical and those not critical to top-down control, may help promote cognitive reserve in more physically active seniors.
Collapse
Affiliation(s)
- Dominika M Pindus
- Department of Kinesiology and Community Health, the University of Illinois at Urbana-Champaign, Urbana, IL, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
| | - Meishan Ai
- Department of Psychology, Northeastern University, Boston, MA, USA
| | | | - Agnieszka Z Burzynska
- College of Health and Human Sciences, Colorado State University, Fort Collins, CO, USA
| | - Neha P Gothe
- Department of Kinesiology and Community Health, the University of Illinois at Urbana-Champaign, Urbana, IL, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Physical Therapy, Movement, & Rehabilitation Sciences, Northeastern University, Boston, MA, USA
| | | | - Jason Fanning
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA
| | | | | | | | - Charles H Hillman
- Department of Psychology, Northeastern University, Boston, MA, USA; Department of Physical Therapy, Movement, & Rehabilitation Sciences, Northeastern University, Boston, MA, USA
| | - Edward McAuley
- Department of Kinesiology and Community Health, the University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Arthur F Kramer
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Psychology, Northeastern University, Boston, MA, USA
| |
Collapse
|
2
|
Jauny G, Mijalkov M, Canal-Garcia A, Volpe G, Pereira J, Eustache F, Hinault T. Linking structural and functional changes during aging using multilayer brain network analysis. Commun Biol 2024; 7:239. [PMID: 38418523 PMCID: PMC10902297 DOI: 10.1038/s42003-024-05927-x] [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: 08/05/2023] [Accepted: 02/16/2024] [Indexed: 03/01/2024] Open
Abstract
Brain structure and function are intimately linked, however this association remains poorly understood and the complexity of this relationship has remained understudied. Healthy aging is characterised by heterogenous levels of structural integrity changes that influence functional network dynamics. Here, we use the multilayer brain network analysis on structural (diffusion weighted imaging) and functional (magnetoencephalography) data from the Cam-CAN database. We found that the level of similarity of connectivity patterns between brain structure and function in the parietal and temporal regions (alpha frequency band) is associated with cognitive performance in healthy older individuals. These results highlight the impact of structural connectivity changes on the reorganisation of functional connectivity associated with the preservation of cognitive function, and provide a mechanistic understanding of the concepts of brain maintenance and compensation with aging. Investigation of the link between structure and function could thus represent a new marker of individual variability, and of pathological changes.
Collapse
Affiliation(s)
- Gwendolyn Jauny
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, Inserm, U1077, CHU de Caen, Centre Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, 14000, Caen, France
| | - Mite Mijalkov
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Anna Canal-Garcia
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Giovanni Volpe
- Department of Physics, Goteborg University, Goteborg, Sweden
| | - Joana Pereira
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Francis Eustache
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, Inserm, U1077, CHU de Caen, Centre Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, 14000, Caen, France
| | - Thomas Hinault
- Normandie Univ, UNICAEN, PSL Université Paris, EPHE, Inserm, U1077, CHU de Caen, Centre Cyceron, Neuropsychologie et Imagerie de la Mémoire Humaine, 14000, Caen, France.
| |
Collapse
|
3
|
Steinberg SN, King TZ. Within-Individual BOLD Signal Variability and its Implications for Task-Based Cognition: A Systematic Review. Neuropsychol Rev 2023:10.1007/s11065-023-09619-x. [PMID: 37889371 DOI: 10.1007/s11065-023-09619-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 09/08/2023] [Indexed: 10/28/2023]
Abstract
Within-individual blood oxygen level-dependent (BOLD) signal variability, intrinsic moment-to-moment signal fluctuations within a single individual in specific voxels across a given time course, is a relatively new metric recognized in the neuroimaging literature. Within-individual BOLD signal variability has been postulated to provide information beyond that provided by mean-based analysis. Synthesis of the literature using within-individual BOLD signal variability methodology to examine various cognitive domains is needed to understand how intrinsic signal fluctuations contribute to optimal performance. This systematic review summarizes and integrates this literature to assess task-based cognitive performance in healthy groups and few clinical groups. Included papers were published through October 17, 2022. Searches were conducted on PubMed and APA PsycInfo. Studies eligible for inclusion used within-individual BOLD signal variability methodology to examine BOLD signal fluctuations during task-based functional magnetic resonance imaging (fMRI) and/or examined relationships between task-based BOLD signal variability and out-of-scanner behavioral measure performance, were in English, and were empirical research studies. Data from each of the included 19 studies were extracted and study quality was systematically assessed. Results suggest that variability patterns for different cognitive domains across the lifespan (ages 7-85) may depend on task demands, measures, variability quantification method used, and age. As neuroimaging methods explore individual-level contributions to cognition, within-individual BOLD signal variability may be a meaningful metric that can inform understanding of neurocognitive performance. Further research in understudied domains/populations, and with consistent quantification methods/cognitive measures, will help conceptualize how intrinsic BOLD variability impacts cognitive abilities in healthy and clinical groups.
Collapse
Affiliation(s)
- Stephanie N Steinberg
- Department of Psychology, Georgia State University, Urban Life Building, 11th Floor, 140 Decatur St, Atlanta, GA, 30303, USA
| | - Tricia Z King
- Department of Psychology, Georgia State University, Urban Life Building, 11th Floor, 140 Decatur St, Atlanta, GA, 30303, USA.
- Neuroscience Institute, Georgia State University, Atlanta, GA, 30302, USA.
| |
Collapse
|
4
|
Li Y, Liu X, Jia X, Li H, Jia X, Yang Q. Structural and functional alterations in cerebral small vessel disease: an ALE-based meta-analysis. Cereb Cortex 2022; 33:5484-5492. [PMID: 36376927 DOI: 10.1093/cercor/bhac435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/01/2022] [Accepted: 10/02/2022] [Indexed: 11/16/2022] Open
Abstract
Abstract
Cerebral small vessel disease (CSVD) is one of the most important causes of stroke and dementia. Although increasing studies have reported alterations of brain structural or neuronal functional activity exhibited in patients with CSVD, it is still unclear which alterations are reliable. Here, we performed a meta-analysis to establish which brain structural or neuronal functional activity changes in those studies were consistent. Activation likelihood estimation revealed that changes in neuronal functional activity in the left angular gyrus, bilateral anterior cingulate cortex/left medial prefrontal cortex, right rolandic operculum, and alterations of gray structure in the left insular cortex/superior temporal gyrus/claustrum were reliable in sporadic CSVD. Decreased neuronal functional activity in the caudate head, anterior cingulate cortex, and reduced gray matter volume in the insular cortex/superior temporal gyrus/claustrum were associated with CSVD-related cognitive impairment. Furthermore, unlike sporadic CSVD, the reliable alterations of neuronal functional activity in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy were concentrated in the left parahippocampal gyrus. The current study presents stable brain structural and neuronal functional abnormalities within the brain, which can help further understand the pathogenesis of CSVD and CSVD-cognitive impairment and provide an index to evaluate the effectiveness of treatment protocols.
Highlights
• Default mode network and salience network are reliable networks affected in sporadic CSVD in resting-state.
• Altered corticostriatal circuitry is associated with cognitive decline.
• Decreased gray matter volume in the insular cortex is stable “remote effects” of sporadic CSVD.
• The parahippocampal gyrus may be a reliable affected brain region in CADASIL.
Collapse
Affiliation(s)
- Yingying Li
- Beijing Chaoyang Hospital, Capital Medical University Department of Radiology, , No.8 Gongti South Road, Chaoyang District, Beijing 100020 , China
- Ministry of Education Key Lab of Medical Engineering for Cardiovascular Disease, , Beijing 100020 , China
| | - Xin Liu
- Beijing Chaoyang Hospital, Capital Medical University Department of Radiology, , No.8 Gongti South Road, Chaoyang District, Beijing 100020 , China
- Ministry of Education Key Lab of Medical Engineering for Cardiovascular Disease, , Beijing 100020 , China
| | - Xuejia Jia
- Beijing Chaoyang Hospital, Capital Medical University Department of Radiology, , No.8 Gongti South Road, Chaoyang District, Beijing 100020 , China
- Ministry of Education Key Lab of Medical Engineering for Cardiovascular Disease, , Beijing 100020 , China
| | - Haoyuan Li
- Beijing Chaoyang Hospital, Capital Medical University Department of Radiology, , No.8 Gongti South Road, Chaoyang District, Beijing 100020 , China
- Ministry of Education Key Lab of Medical Engineering for Cardiovascular Disease, , Beijing 100020 , China
| | - Xiuqin Jia
- Beijing Chaoyang Hospital, Capital Medical University Department of Radiology, , No.8 Gongti South Road, Chaoyang District, Beijing 100020 , China
- Ministry of Education Key Lab of Medical Engineering for Cardiovascular Disease, , Beijing 100020 , China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University , No.10 Xitoutiao, Fengtai District, Beijing 100069 , China
| | - Qi Yang
- Beijing Chaoyang Hospital, Capital Medical University Department of Radiology, , No.8 Gongti South Road, Chaoyang District, Beijing 100020 , China
- Ministry of Education Key Lab of Medical Engineering for Cardiovascular Disease, , Beijing 100020 , China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University , No.10 Xitoutiao, Fengtai District, Beijing 100069 , China
| |
Collapse
|
5
|
Pessin S, Walsh EC, Hoks RM, Birn RM, Abercrombie HC, Philippi CL. Resting-state neural signal variability in women with depressive disorders. Behav Brain Res 2022; 433:113999. [PMID: 35811000 PMCID: PMC9559753 DOI: 10.1016/j.bbr.2022.113999] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 06/15/2022] [Accepted: 07/05/2022] [Indexed: 11/21/2022]
Abstract
Aberrant activity and connectivity in default mode (DMN), frontoparietal (FPN), and salience (SN) network regions is well-documented in depression. Recent neuroimaging research suggests that altered variability in the blood oxygen level-dependent (BOLD) signal may disrupt normal network integration and be an important novel predictor of psychopathology. However, no studies have yet determined the relationship between resting-state BOLD signal variability and depressive disorders nor applied BOLD signal variability features to the classification of depression history using machine learning (ML). We collected resting-state fMRI data for 79 women with different depression histories: no history, past history, and current depressive disorder. We tested voxelwise differences in BOLD signal variability related to depression group and severity. We also investigated whether BOLD signal variability of DMN, FPN, and SN regions could predict depression history group using a supervised random forest ML model. Results indicated that individuals with any history of depression had significantly decreased BOLD signal variability in the left and right cerebellum and right parietal cortex (pFWE <0.05). Furthermore, greater depression severity was also associated with reduced BOLD signal variability in the cerebellum. A random forest model classified participant depression history with 74% accuracy, with the ventral anterior cingulate cortex of the DMN as the most important variable in the model. These findings provide novel support for resting-state BOLD signal variability as a marker of neural dysfunction in depression and implicate decreased neural signal variability in the pathophysiology of depression.
Collapse
Affiliation(s)
- Sally Pessin
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, MO 63121, USA
| | - Erin C Walsh
- Department of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, CB# 7167, Chapel Hill, NC 27599, USA
| | - Roxanne M Hoks
- Center for Healthy Minds, University of Wisconsin-Madison, 625W. Washington Ave., Madison, WI 53703, USA
| | - Rasmus M Birn
- Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Blvd., Madison, WI 53719, USA
| | - Heather C Abercrombie
- Center for Healthy Minds, University of Wisconsin-Madison, 625W. Washington Ave., Madison, WI 53703, USA
| | - Carissa L Philippi
- Department of Psychological Sciences, University of Missouri-St. Louis, 1 University Blvd., St. Louis, MO 63121, USA.
| |
Collapse
|
6
|
Wang H, Burles F, Subramaniapillai S, Pasvanis S, Rajah MN, Protzner AB. Sex differences in the relationship between age, performance, and BOLD signal variability during spatial context memory processing. Neurobiol Aging 2022; 118:77-87. [DOI: 10.1016/j.neurobiolaging.2022.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 06/17/2022] [Accepted: 06/21/2022] [Indexed: 10/17/2022]
|
7
|
Petrican R, Miles S, Rudd L, Wasiewska W, Graham KS, Lawrence AD. Pubertal timing and functional neurodevelopmental alterations independently mediate the effect of family conflict on adolescent psychopathology. Dev Cogn Neurosci 2021; 52:101032. [PMID: 34781251 PMCID: PMC10436252 DOI: 10.1016/j.dcn.2021.101032] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 10/29/2021] [Accepted: 11/04/2021] [Indexed: 12/28/2022] Open
Abstract
This study tested the hypothesis that early life adversity (ELA) heightens psychopathology risk by concurrently altering pubertal and neurodevelopmental timing, and associated gene transcription signatures. Analyses focused on threat- (family conflict/neighbourhood crime) and deprivation-related ELAs (parental inattentiveness/unmet material needs), using longitudinal data from 1514 biologically unrelated youths in the Adolescent Brain and Cognitive Development (ABCD) study. Typical developmental changes in white matter microstructure corresponded to widespread BOLD signal variability (BOLDsv) increases (linked to cell communication and biosynthesis genes) and region-specific task-related BOLDsv increases/decreases (linked to signal transduction, immune and external environmental response genes). Increasing resting-state (RS), but decreasing task-related BOLDsv predicted normative functional network segregation. Family conflict was the strongest concurrent and prospective contributor to psychopathology, while material deprivation constituted an additive risk factor. ELA-linked psychopathology was predicted by higher Time 1 threat-evoked BOLDSV (associated with axonal development, myelination, cell differentiation and signal transduction genes), reduced Time 2 RS BOLDsv (associated with cell metabolism and attention genes) and greater Time 1 to Time 2 control/attention network segregation. Earlier pubertal timing and neurodevelopmental alterations independently mediated ELA effects on psychopathology. Our results underscore the differential roles of the immediate and wider external environment(s) in concurrent and longer-term ELA consequences.
Collapse
Affiliation(s)
- Raluca Petrican
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom.
| | - Sian Miles
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Lily Rudd
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Wiktoria Wasiewska
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Kim S Graham
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| | - Andrew D Lawrence
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff CF24 4HQ, United Kingdom
| |
Collapse
|
8
|
Dynamic Recovery: GABA Agonism Restores Neural Variability in Older, Poorer Performing Adults. J Neurosci 2021; 41:9350-9360. [PMID: 34732523 DOI: 10.1523/jneurosci.0335-21.2021] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 07/30/2021] [Accepted: 08/04/2021] [Indexed: 11/21/2022] Open
Abstract
Aging is associated with cognitive impairment, but there are large individual differences in these declines. One neural measure that is lower in older adults and predicts these individual differences is moment-to-moment brain signal variability. Testing the assumption that GABA should heighten neural variability, we examined whether reduced brain signal variability in older, poorer performing adults could be boosted by increasing GABA pharmacologically. Brain signal variability was estimated using fMRI in 20 young and 24 older healthy human adults during placebo and GABA agonist sessions. As expected, older adults exhibited lower signal variability at placebo, and, crucially, GABA agonism boosted older adults' variability to the levels of young adults. Furthermore, poorer performing older adults experienced a greater increase in variability on drug, suggesting that those with more to gain benefit the most from GABA system potentiation. GABA may thus serve as a core neurochemical target in future work on aging- and cognition-related human brain dynamics.SIGNIFICANCE STATEMENT Prior research indicates that moment-to-moment brain signal variability is lower in older, poorer performing adults. We found that this reduced brain signal variability could be boosted through GABA agonism in older adults to the levels of young adults and that this boost was largest in the poorer performing older adults. These results provide the first evidence that brain signal variability can be restored by increasing GABAergic activity and suggest the promise of developing interventions targeting inhibitory systems to help slow cognitive declines in healthy aging.
Collapse
|
9
|
Garrett DD, Skowron A, Wiegert S, Adolf J, Dahle CL, Lindenberger U, Raz N. Lost Dynamics and the Dynamics of Loss: Longitudinal Compression of Brain Signal Variability is Coupled with Declines in Functional Integration and Cognitive Performance. Cereb Cortex 2021; 31:5239-5252. [PMID: 34297815 PMCID: PMC8491679 DOI: 10.1093/cercor/bhab154] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 04/08/2021] [Accepted: 05/06/2021] [Indexed: 11/24/2022] Open
Abstract
Reduced moment-to-moment blood oxygen level-dependent (BOLD) signal variability has been consistently linked to advanced age and poorer cognitive performance, showing potential as a functional marker of brain aging. To date, however, this promise has rested exclusively on cross-sectional comparisons. In a sample of 74 healthy adults, we provide the first longitudinal evidence linking individual differences in BOLD variability, age, and performance across multiple cognitive domains over an average period of 2.5 years. As expected, those expressing greater loss of BOLD variability also exhibited greater decline in cognition. The fronto-striato-thalamic system emerged as a core neural substrate for these change-change associations. Preservation of signal variability within regions of the fronto-striato-thalamic system also cohered with preservation of functional integration across regions of this system, suggesting that longitudinal maintenance of "local" dynamics may require across-region communication. We therefore propose this neural system as a primary target in future longitudinal studies on the neural substrates of cognitive aging. Given that longitudinal change-change associations between brain and cognition are notoriously difficult to detect, the presence of such an association within a relatively short follow-up period bolsters the promise of brain signal variability as a viable, experimentally sensitive probe for studying individual differences in human cognitive aging.
Collapse
Affiliation(s)
- Douglas D Garrett
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Max Planck Institute for Human Development, Lentzeallee 94, Berlin 14195, Germany
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, Berlin 14195, Germany
| | - Alexander Skowron
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Max Planck Institute for Human Development, Lentzeallee 94, Berlin 14195, Germany
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, Berlin 14195, Germany
| | - Steffen Wiegert
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Max Planck Institute for Human Development, Lentzeallee 94, Berlin 14195, Germany
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, Berlin 14195, Germany
| | - Janne Adolf
- Research Group of Quantitative Psychology and Individual Differences, Faculty of Psychology and Educational Sciences, KU Leuven, Leuven 3000, Belgium
| | - Cheryl L Dahle
- Institute of Gerontology, Wayne State University, 87 East Ferry Street, Detroit, MI 48202, USA
| | - Ulman Lindenberger
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Max Planck Institute for Human Development, Lentzeallee 94, Berlin 14195, Germany
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, Berlin 14195, Germany
| | - Naftali Raz
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, Berlin 14195, Germany
- Institute of Gerontology, Wayne State University, 87 East Ferry Street, Detroit, MI 48202, USA
- Department of Psychology, Wayne State University, 87 East Ferry Street, Detroit, MI 48202, USA
| |
Collapse
|
10
|
The longitudinal relationship between BOLD signal variability changes and white matter maturation during early childhood. Neuroimage 2021; 242:118448. [PMID: 34358659 DOI: 10.1016/j.neuroimage.2021.118448] [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: 10/30/2020] [Revised: 07/03/2021] [Accepted: 08/02/2021] [Indexed: 10/20/2022] Open
Abstract
Intra-individual transient temporal fluctuations in brain signal, as measured by fMRI blood oxygenation level dependent (BOLD) variability, is increasingly considered an important signal rather than measurement noise. Evidence from computational and cognitive neuroscience suggests that signal variability is a good proxy-measure of brain functional integrity and information processing capacity. Here, we sought to explore across-participant and longitudinal relationships between BOLD variability, age, and white matter structure in early childhood. We measured standard deviation of BOLD signal, total white matter volume, global fractional anisotropy (FA) and mean diffusivity (MD) during passive movie viewing in a sample of healthy children (aged 2-8 years; N = 83). We investigated how age and white matter development related to changes in BOLD variability both across- and within-participants. Our across-participant analyses using behavioural partial least squares (bPLS) revealed that the influence of age and white matter maturation on BOLD variability was highly interrelated. BOLD variability increased in widespread frontal, temporal and parietal regions, and decreased in the hippocampus and parahippocampal gyrus with age and white matter development. Our longitudinal analyses using linear mixed effects modelling revealed significant associations between BOLD variability, age and white matter microstructure. Analyses using artificial neural networks demonstrated that BOLD variability and white matter micro and macro-structure at earlier ages were strong predictors of BOLD variability at later ages. By characterizing the across-participant and longitudinal features of the association between BOLD variability and white matter micro- and macrostructure in early childhood, our results provide a novel perspective to understand structure-function relationships in the developing brain.
Collapse
|
11
|
Millar PR, Ances BM, Gordon BA, Benzinger TLS, Morris JC, Balota DA. Evaluating Cognitive Relationships with Resting-State and Task-driven Blood Oxygen Level-Dependent Variability. J Cogn Neurosci 2021; 33:279-302. [PMID: 33135966 PMCID: PMC7877897 DOI: 10.1162/jocn_a_01645] [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] [Indexed: 12/24/2022]
Abstract
Recent functional magnetic resonance imaging studies have reported that moment-to-moment variability in the blood oxygen level-dependent (BOLD) signal is positively associated with task performance and, thus, may reflect a behaviorally sensitive signal. However, it is not clear whether estimates of resting-state and task-driven BOLD variability are differentially related to cognition, as they may be driven by distinct sources of variance in the BOLD signal. Moreover, other studies have suggested that age differences in resting-state BOLD variability may be particularly sensitive to individual differences in cardiovascular, rather than neural, factors. In this study, we tested relationships between measures of behavioral task performance and BOLD variability during both resting-state and task-driven runs of a Stroop and an animacy judgment task in a large, well-characterized sample of cognitively normal middle-aged to older adults. Resting-state BOLD variability was related to composite measures of global cognition and attentional control, but these relationships were eliminated after correction for age or cardiovascular estimates. In contrast, task-driven BOLD variability was related to attentional control measured both inside and outside the scanner, and importantly, these relationships persisted after correction for age and cardiovascular measures. Overall, these results suggest that BOLD variability is a behaviorally sensitive signal. However, resting-state and task-driven estimates of BOLD variability may differ in the degree to which they are sensitive to age-related, cardiovascular, and neural mechanisms.
Collapse
Affiliation(s)
- Peter R Millar
- Department of Psychological & Brain Sciences, Washington University in St. Louis,Department of Neurology, Washington University in St. Louis,Peter R Millar, , 314-935-6524, One Brookings Drive, Campus Box 1125, St. Louis, MO 63130
| | - Beau M Ances
- Department of Neurology, Washington University in St. Louis,Department of Radiology, Washington University in St. Louis
| | - Brian A Gordon
- Department of Psychological & Brain Sciences, Washington University in St. Louis,Department of Radiology, Washington University in St. Louis
| | | | - John C Morris
- Department of Neurology, Washington University in St. Louis
| | - David A Balota
- Department of Psychological & Brain Sciences, Washington University in St. Louis,Department of Neurology, Washington University in St. Louis
| |
Collapse
|
12
|
The Timescale of Control: A Meta-Control Property that Generalizes across Tasks but Varies between Types of Control. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2021; 21:472-489. [DOI: 10.3758/s13415-020-00853-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/19/2020] [Indexed: 01/23/2023]
|
13
|
Thompson A, Schel MA, Steinbeis N. Changes in BOLD variability are linked to the development of variable response inhibition. Neuroimage 2020; 228:117691. [PMID: 33385547 PMCID: PMC7903157 DOI: 10.1016/j.neuroimage.2020.117691] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 11/27/2020] [Accepted: 12/19/2020] [Indexed: 11/05/2022] Open
Abstract
This is the first study to investigate the development of response inhibition focussing on variability. We examined intraindividual variability both in stopping latencies and the underlying neural circuitry. There were no developmental differences in mean response inhibition, yet clear differences in performance variability. This, in turn, was associated with developmental differences in brain signal variability. Behavioral and neural variability indices might be a more sensitive measure of developmental differences in inhibition.
Research on the development of response inhibition in humans has focused almost exclusively on average stopping performance. The development of intra-individual variability in stopping performance and its underlying neural circuitry has remained largely unstudied, even though understanding variability is of core importance for understanding development. In a total sample of 45 participants (19 children aged 10–12 years and 26 adults aged 18–26 years) of either sex we aimed to identify age-related changes in intra-individual response inhibition performance and its underlying brain signal variability. While there was no difference in average stopping performance between children and adults, stop signal latencies for the children were more variable. Further, brain signal variability during successful stopping was significantly higher in adults compared to children, especially in bilateral thalamus, but also across regions of the inhibition network. Finally, brain signal variability was significantly associated with stopping performance behavioral variability in adults. Together these results indicate that variability in stopping performance decreases, whereas neural variability in the inhibition network increases, from childhood to adulthood. Future work will need to assess whether developmental changes in neural variability drive those in behavioral variability. In sum, both, neural and behavioral variability indices might be a more sensitive measure of developmental differences in response inhibition compared to the standard average-based measurements.
Collapse
Affiliation(s)
- Abigail Thompson
- Department of Clinical, Educational and Health Psychology, UCL, 26 Bedford Way, London WC1H 0AP, UK.
| | - Margot A Schel
- Institute of Education and Child Studies, Leiden University, 2333 AK, Leiden, the Netherlands
| | - Nikolaus Steinbeis
- Department of Clinical, Educational and Health Psychology, UCL, 26 Bedford Way, London WC1H 0AP, UK.
| |
Collapse
|
14
|
Tetereva A, Kartashov S, Ivanitsky A, Martynova O. Variance and Scale-Free Properties of Resting-State Blood Oxygenation Level-Dependent Signal After Fear Memory Acquisition and Extinction. Front Hum Neurosci 2020; 14:509075. [PMID: 33192382 PMCID: PMC7581738 DOI: 10.3389/fnhum.2020.509075] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 09/18/2020] [Indexed: 12/02/2022] Open
Abstract
Recently, the dynamic properties of brain activity rather than its stationary values have attracted more interest in clinical applications. It has been shown that brain signals exhibit scale-free dynamics or long-range temporal correlations (LRTC) that differ between rest and cognitive tasks in healthy controls and clinical groups. Little is known about how fear-inducing tasks may influence dispersion and the LRTC of subsequent resting-state brain activity. In this study, we aimed to explore the changes in the variance and scale-free properties of the brain’s blood oxygenation level-dependent (BOLD) signal during the resting-state sessions before and after fear learning and fear memory extinction. During a 1-h break between magnetic resonance imaging (MRI) scanning, 23 healthy, right-handed volunteers experienced a fear extinction procedure, followed by Pavlovian fear conditioning that included partial reinforcement using mild electrical stimulation. We extracted the average time course of the BOLD signal from 245 regions of interest (ROIs) taken from the resting-state functional atlas. The variance of the BOLD signal and the Hurst exponent (H), which reflects the scale-free dynamic, were compared in the resting states before and after fear learning and fear memory extinction. After fear extinction, six ROIs showed a difference in H at the uncorrected level of significance, including areas associated with fear processing. H decreased during fear extinction but then became higher than before fear learning, specifically in areas related to the fear extinction network (FEN). However, activity in the other ROIs restored the H to its initial level. The variance of the BOLD signal in six ROIs demonstrated a significant increase from initial rest to the post-task rest. A limited number of ROIs showed changes in both H and variance. Our results imply that the variability and scale-free properties of the BOLD signal might serve as additional indicators of changes in spontaneous brain activity related to recent experience.
Collapse
Affiliation(s)
- Alina Tetereva
- Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia.,Department of Psychology, University of Otago, Dunedin, New Zealand
| | | | - Alexey Ivanitsky
- Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia
| | - Olga Martynova
- Institute of Higher Nervous Activity and Neurophysiology of the Russian Academy of Sciences, Moscow, Russia.,Centre for Cognition and Decision Making, Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia
| |
Collapse
|
15
|
Holtzer R, Ross D, Izzetoglu M. Intraindividual variability in neural activity in the prefrontal cortex during active walking in older adults. Psychol Aging 2020; 35:1201-1214. [PMID: 33180518 DOI: 10.1037/pag0000583] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Intraindividual variability in gait and cognitive performance is distinct from central-tendency measures and associated with clinical outcomes in aging. Knowledge concerning intraindividual variability in neural activity, however, has been relatively scarce, and no research to date has reported on such variability during active walking. The current study addressed this major gap in knowledge. Participants were community-residing older adults (n = 394; mean age = 76.29 ± 6.65 years; %female = 55). Functional near-infrared spectroscopy (fNIRS) was used to measure oxygenated hemoglobin (HbO2) in the prefrontal cortex under three experimental conditions: single-task-walk, single-task-alpha (cognitive task), and dual-task-walk, which required the participants to perform the two single tasks simultaneously. Intraindividual variability in neural activity was operationalized using the standard deviation of fNIRS-derived HbO2 observations assessed during a 30-s interval in each experimental condition. The increase in intraindividual variability in neural activity in the dual-task-walk condition compared to both single-task conditions was associated with the presence of cognitive impairments and being a male. Furthermore, measures of intraindividual variability in neural activity and gait performance were positively correlated only under the dual-task-walk condition. Intraindividual variability in the neural activity of gait may be a novel marker for age-related impairments in mobility and cognitive function. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Collapse
Affiliation(s)
- Roee Holtzer
- Ferkauf Graduate School of Psychology, Yeshiva University
| | - Daliah Ross
- Ferkauf Graduate School of Psychology, Yeshiva University
| | - Meltem Izzetoglu
- Department of Electrical and Computer Engineering, Villanova University
| |
Collapse
|
16
|
Creative, internally-directed cognition is associated with reduced BOLD variability. Neuroimage 2020; 219:116758. [DOI: 10.1016/j.neuroimage.2020.116758] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 02/12/2020] [Accepted: 03/14/2020] [Indexed: 11/20/2022] Open
|
17
|
Burzynska AZ, Voss MW, Fanning J, Salerno EA, Gothe NP, McAuley E, Kramer AF. Sensor-measured sedentariness and physical activity are differentially related to fluid and crystallized abilities in aging. Psychol Aging 2020; 35:1154-1169. [PMID: 32969693 DOI: 10.1037/pag0000580] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Aerobic exercise and physical activity (PA) are known to benefit cognition in adulthood. However, a typical older adult spends most of the day sedentary or in light PA, behaviors that are typically poorly captured by questionnaires. To better understand the associations between time spent in different intensities of lifestyle PA and cognition, we measured average time spent daily in sedentariness, light, and moderate to vigorous PA using hip-worn sensors (ActiGraph accelerometers). We studied baseline data from 228 cognitively normal adults (Age 60-80) who took part in a clinical trial (clinical study identifier: NCT01472744). Fluid (processing speed, memory, and reasoning) and crystallized abilities (vocabulary knowledge) were assessed with the Virginia Cognitive Aging Battery. Adjusting for age, sex, and several modifiable socioeconomic, physical and functional health factors, time spent daily in moderate to vigorous PA was positively related with fluid abilities (perceptual speed and reasoning). Furthermore, we found that those spending more time sedentary performed better on vocabulary knowledge and reasoning tasks. In contrast, time spent in light PA was not related to either fluid or crystallized abilities. Our results add to the previous literature by providing the first sensor-based evidence that crystallized and fluid abilities in older age may be associated with engagement in different intensities of daily activity. Moreover, our findings suggest that the behavior of moderate to vigorous PA is at least as important in relation to cognition as the desirable long-term physiological effects of higher intensity PA and exercise. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Collapse
Affiliation(s)
- Agnieszka Z Burzynska
- Department of Human Development and Family Studies/Molecular, Cellular and Integrative Neurosciences
| | | | - Jason Fanning
- Department of Internal Medicine and Health and Exercise Sciences
| | | | | | | | | |
Collapse
|
18
|
Millar PR, Ances BM, Gordon BA, Benzinger TLS, Fagan AM, Morris JC, Balota DA. Evaluating resting-state BOLD variability in relation to biomarkers of preclinical Alzheimer's disease. Neurobiol Aging 2020; 96:233-245. [PMID: 33039901 DOI: 10.1016/j.neurobiolaging.2020.08.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 07/21/2020] [Accepted: 08/10/2020] [Indexed: 02/09/2023]
Abstract
Recent functional magnetic resonance imaging studies have demonstrated that moment-to-moment variability in the blood oxygen level-dependent (BOLD) signal is related to age differences, cognition, and symptomatic Alzheimer's disease (AD). However, no studies have examined BOLD variability in the context of preclinical AD. We tested relationships between resting-state BOLD variability and biomarkers of amyloidosis, tauopathy, and neurodegeneration in a large (N = 321), well-characterized sample of cognitively normal adults (age = 39-93), using multivariate machine learning techniques. Furthermore, we controlled for cardiovascular health factors, which may contaminate resting-state BOLD variability estimates. BOLD variability, particularly in the default mode network, was related to cerebrospinal fluid (CSF) amyloid-β42 but was not related to CSF phosphorylated tau-181. Furthermore, BOLD variability estimates were also related to markers of neurodegeneration, including CSF neurofilament light protein, hippocampal volume, and a cortical thickness composite. Notably, relationships with hippocampal volume and cortical thickness survived correction for cardiovascular health and also contributed to age-related differences in BOLD variability. Thus, BOLD variability may be sensitive to preclinical pathology, including amyloidosis and neurodegeneration in AD-sensitive areas.
Collapse
Affiliation(s)
- Peter R Millar
- Department of Psychological & Brain Sciences, St. Louis, MO, USA; Department of Neurology, St. Louis, MO, USA.
| | - Beau M Ances
- Department of Neurology, St. Louis, MO, USA; Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Brian A Gordon
- Department of Psychological & Brain Sciences, St. Louis, MO, USA; Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | | | | | | | - David A Balota
- Department of Psychological & Brain Sciences, St. Louis, MO, USA; Department of Neurology, St. Louis, MO, USA
| |
Collapse
|
19
|
Millar PR, Petersen SE, Ances BM, Gordon BA, Benzinger TLS, Morris JC, Balota DA. Evaluating the Sensitivity of Resting-State BOLD Variability to Age and Cognition after Controlling for Motion and Cardiovascular Influences: A Network-Based Approach. Cereb Cortex 2020; 30:5686-5701. [PMID: 32515824 DOI: 10.1093/cercor/bhaa138] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 05/01/2020] [Accepted: 05/01/2020] [Indexed: 12/14/2022] Open
Abstract
Recent functional magnetic resonance imaging (fMRI) studies report that moment-to-moment variability in the BOLD signal is related to differences in age and cognition and, thus, may be sensitive to age-dependent decline. However, head motion and/or cardiovascular health (CVH) may contaminate these relationships. We evaluated relationships between resting-state BOLD variability, age, and cognition, after characterizing and controlling for motion-related and cardiovascular influences, including pulse, blood pressure, BMI, and white matter hyperintensities (WMH), in a large (N = 422) resting-state fMRI sample of cognitively normal individuals (age 43-89). We found that resting-state BOLD variability was negatively related to age and positively related to cognition after maximally controlling for head motion. Age relationships also survived correction for CVH, but were greatly reduced when correcting for WMH alone. Our results suggest that network-based machine learning analyses of resting-state BOLD variability might yield reliable, sensitive measures to characterize age-related decline across a broad range of networks. Age-related differences in resting-state BOLD variability may be largely sensitive to processes related to WMH burden.
Collapse
Affiliation(s)
- Peter R Millar
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Steven E Petersen
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, USA.,Department of Neurology, Washington University in St. Louis, St. Louis, MO 63130, USA.,Department of Radiology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Beau M Ances
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63130, USA.,Department of Radiology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Brian A Gordon
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, USA.,Department of Radiology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Tammie L S Benzinger
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - John C Morris
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - David A Balota
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, USA.,Department of Neurology, Washington University in St. Louis, St. Louis, MO 63130, USA
| |
Collapse
|
20
|
Knol MJ, Heshmatollah A, Cremers LGM, Ikram MK, Uitterlinden AG, van Duijn CM, Niessen WJ, Vernooij MW, Ikram MA, Adams HHH. Genetic variation underlying cognition and its relation with neurological outcomes and brain imaging. Aging (Albany NY) 2020; 11:1440-1456. [PMID: 30830859 PMCID: PMC6428100 DOI: 10.18632/aging.101844] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 02/21/2019] [Indexed: 01/07/2023]
Abstract
Cognition in adults shows variation due to developmental and degenerative components. A recent genome-wide association study identified genetic variants for general cognitive function in 148 independent loci. Here, we aimed to elucidate possible developmental and neurodegenerative pathways underlying these genetic variants by relating them to functional, clinical and neuroimaging outcomes. This study was conducted within the population-based Rotterdam Study (N=11,496, mean age 65.3±9.9 years, 58.0% female). We used lead variants for general cognitive function to construct a polygenic score (PGS), and additionally excluded developmental variants at multiple significance thresholds. A higher PGS was related to more years of education (β=0.29, p=4.3x10-7) and a larger intracranial volume (β=0.05, p=7.5x10-4). To a smaller extent, the PGS was associated with less cognitive decline (βΔG-factor=0.03, p=1.3x10-3), which became non-significant after adjusting for education (p=1.6x10-2). No associations were found with daily functioning, dementia, parkinsonism, stroke or microstructural white matter integrity. Excluding developmental variants attenuated nearly all associations. In conclusion, this study suggests that the genetic variants identified for general cognitive function are acting mainly through the developmental pathway of cognition. Therefore, cognition, assessed cross-sectionally, seems to have limited value as a biomarker for neurodegeneration.
Collapse
Affiliation(s)
- Maria J Knol
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Alis Heshmatollah
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.,Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Lotte G M Cremers
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.,Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Wiro J Niessen
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands.,Department of Medical Informatics, Erasmus MC University Medical Center, Rotterdam, the Netherlands.,Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Hieab H H Adams
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| |
Collapse
|
21
|
Good TJ, Villafuerte J, Ryan JD, Grady CL, Barense MD. Resting State BOLD Variability of the Posterior Medial Temporal Lobe Correlates with Cognitive Performance in Older Adults with and without Risk for Cognitive Decline. eNeuro 2020; 7:ENEURO.0290-19.2020. [PMID: 32193364 PMCID: PMC7240288 DOI: 10.1523/eneuro.0290-19.2020] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 02/09/2020] [Accepted: 02/19/2020] [Indexed: 11/21/2022] Open
Abstract
Local brain signal variability [SD of the BOLD signal (SDBOLD]] correlates with age and cognitive performance, and recently differentiated Alzheimer's disease (AD) patients from healthy controls. However, it is unknown whether changes to SDBOLD precede diagnosis of AD or mild cognitive impairment. We compared ostensibly healthy older adult humans who scored below the recommended threshold on the Montreal cognitive assessment (MoCA) and who showed reduced medial temporal lobe (MTL) volume in a previous study ("at-risk" group, n = 20), with healthy older adults who scored within the normal range on the MoCA ("control" group, n = 20). Using multivariate partial least-squares analysis we assessed the correlations between SDBOLD and age, MoCA score, global fractional anisotropy, global mean diffusivity, and four cognitive factors. Greater SDBOLD in the MTL and occipital cortex positively correlated with performance on cognitive control/speed tasks but negatively correlated with memory scores in the control group. These relations were weaker in the at-risk group. A post hoc analysis assessed associations between MTL volumes and SDBOLD in both groups. This revealed a negative correlation, most robust in the at-risk group, between MTL SDBOLD and MTL subregion volumetry, particularly the entorhinal and parahippocampal regions. Together, these results suggest that the association between SDBOLD and cognition differs between the at-risk and control groups, which may be because of lower MTL volumes in the at-risk group. Our data indicate relations between MTL SDBOLD and cognition may be helpful in understanding brain differences in individuals who may be at risk for further cognitive decline.
Collapse
Affiliation(s)
- Tyler J Good
- Rotman Research Institute, Baycrest Health Sciences, Toronto M6A 2E1, Ontario
- Department of Psychology, University of Toronto, Toronto M5S 3G3, Ontario
| | - Joshua Villafuerte
- Rotman Research Institute, Baycrest Health Sciences, Toronto M6A 2E1, Ontario
- Department of Psychology, University of Toronto, Toronto M5S 3G3, Ontario
| | - Jennifer D Ryan
- Rotman Research Institute, Baycrest Health Sciences, Toronto M6A 2E1, Ontario
- Department of Psychology, University of Toronto, Toronto M5S 3G3, Ontario
- Department of Psychiatry, University of Toronto, Toronto M5T 1R8, Ontario
| | - Cheryl L Grady
- Rotman Research Institute, Baycrest Health Sciences, Toronto M6A 2E1, Ontario
- Department of Psychology, University of Toronto, Toronto M5S 3G3, Ontario
- Department of Psychiatry, University of Toronto, Toronto M5T 1R8, Ontario
| | - Morgan D Barense
- Rotman Research Institute, Baycrest Health Sciences, Toronto M6A 2E1, Ontario
- Department of Psychology, University of Toronto, Toronto M5S 3G3, Ontario
| |
Collapse
|
22
|
Scarapicchia V, Garcia-Barrera M, MacDonald S, Gawryluk JR. Resting State BOLD Variability Is Linked to White Matter Vascular Burden in Healthy Aging but Not in Older Adults With Subjective Cognitive Decline. Front Hum Neurosci 2019; 13:429. [PMID: 31920589 PMCID: PMC6936515 DOI: 10.3389/fnhum.2019.00429] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 11/18/2019] [Indexed: 12/16/2022] Open
Abstract
Background: Alzheimer's disease (AD) is the leading cause of dementia. A lack of curative treatments and a rapidly aging global population have amplified the need for early biomarkers of the disease process. Recent advances suggest that subjective cognitive decline (SCD) may be one of the earliest symptomatic markers of the AD cascade. Previous studies have identified changes in variability in the blood-oxygen-level-dependent (BOLD) signal in patients with AD, with a possible association between BOLD variability and cerebrovascular factors in the aging brain. The objective of the current study was to determine whether changes in BOLD variability can be identified in individuals with SCD, and whether this signal may be associated with markers of cerebrovascular integrity in SCD and older adults without memory complaints. Method: Data were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database from 19 participants with SCD and 19 similarly-aged controls. For each participant, a map of BOLD signal variability (SDBOLD) was computed as the standard deviation of the BOLD time-series at each voxel. Group comparisons were performed to examine differences in resting-state SDBOLD in SCD vs. healthy controls. Relationships were then examined between participant SDBOLD maps and neuroimaging markers of white matter vascular infarcts in each group separately. Results: Between-group comparisons showed no significant differences in whole-brain SDBOLD in individuals with SCD and controls. In the healthy aging group, higher white matter hyperintensity (WMH) burden was associated with greater SDBOLD in right temporal regions (p < 0.05), and lower scores on a measure of global executive functioning. These associations were not identified in individuals with SCD. Conclusion: The current study underscores previous evidence for a relationship between SDBOLD and white matter vascular infarcts in the healthy aging brain. The findings also provide evidence for a dissociable relationship between healthy aging and SCD, such that in healthy controls, increased WMH is associated with declines in executive function that is not observed in older adults who present with memory complaints. Further multimodal work is needed to better understand the contributions of vascular pathology to the BOLD signal, and its potential relationship with pathological aging.
Collapse
Affiliation(s)
- Vanessa Scarapicchia
- Department Psychology, University of Victoria, Victoria, BC, Canada
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, BC, Canada
| | - Mauricio Garcia-Barrera
- Department Psychology, University of Victoria, Victoria, BC, Canada
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, BC, Canada
| | - Stuart MacDonald
- Department Psychology, University of Victoria, Victoria, BC, Canada
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, BC, Canada
| | - Jodie R. Gawryluk
- Department Psychology, University of Victoria, Victoria, BC, Canada
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, BC, Canada
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| |
Collapse
|
23
|
Gaut G, Turner B, Lu ZL, Li X, Cunningham WA, Steyvers M. Predicting Task and Subject Differences with Functional Connectivity and Blood-Oxygen-Level-Dependent Variability. Brain Connect 2019; 9:451-463. [DOI: 10.1089/brain.2018.0632] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Affiliation(s)
- Garren Gaut
- Department of Cognitive Sciences, University of California Irvine, Irvine, California
| | - Brandon Turner
- Department of Psychology, The Ohio State University, Columbus, Ohio
| | - Zhong-Lin Lu
- Department of Psychology, The Ohio State University, Columbus, Ohio
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, Ohio
| | - Xiangrui Li
- Department of Psychology, The Ohio State University, Columbus, Ohio
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, Ohio
| | | | - Mark Steyvers
- Department of Cognitive Sciences, University of California Irvine, Irvine, California
| |
Collapse
|
24
|
Pur DR, Eagleson RA, de Ribaupierre A, Mella N, de Ribaupierre S. Moderating Effect of Cortical Thickness on BOLD Signal Variability Age-Related Changes. Front Aging Neurosci 2019; 11:46. [PMID: 30914944 PMCID: PMC6422923 DOI: 10.3389/fnagi.2019.00046] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2018] [Accepted: 02/18/2019] [Indexed: 11/13/2022] Open
Abstract
The time course of neuroanatomical structural and functional measures across the lifespan is commonly reported in association with aging. Blood oxygen-level dependent signal variability, estimated using the standard deviation of the signal, or "BOLDSD," is an emerging metric of variability in neural processing, and has been shown to be positively correlated with cognitive flexibility. Generally, BOLDSD is reported to decrease with aging, and is thought to reflect age-related cognitive decline. Additionally, it is well established that normative aging is associated with structural changes in brain regions, and that these predict functional decline in various cognitive domains. Nevertheless, the interaction between alterations in cortical morphology and BOLDSD changes has not been modeled quantitatively. The objective of the current study was to investigate the influence of cortical morphology metrics [i.e., cortical thickness (CT), gray matter (GM) volume, and cortical area (CA)] on age-related BOLDSD changes by treating these cortical morphology metrics as possible physiological confounds using linear mixed models. We studied these metrics in 28 healthy older subjects scanned twice at approximately 2.5 years interval. Results show that BOLDSD is confounded by cortical morphology metrics. Respectively, changes in CT but not GM volume nor CA, show a significant interaction with BOLDSD alterations. Our study highlights that CT changes should be considered when evaluating BOLDSD alternations in the lifespan.
Collapse
Affiliation(s)
- Daiana R. Pur
- School of Biomedical Engineering, Western University, London, ON, Canada
| | - Roy A. Eagleson
- School of Biomedical Engineering, Western University, London, ON, Canada
- Department of Electrical and Computer Engineering, Western University, London, ON, Canada
| | | | - Nathalie Mella
- Department of Psychology, University of Geneva, Geneva, Switzerland
| | - Sandrine de Ribaupierre
- School of Biomedical Engineering, Western University, London, ON, Canada
- Department of Clinical Neurological Sciences, Schulich School of Medicine, Western University, London, ON, Canada
| |
Collapse
|
25
|
Kranz MB, Voss MW, Cooke GE, Banducci SE, Burzynska AZ, Kramer AF. The cortical structure of functional networks associated with age-related cognitive abilities in older adults. PLoS One 2018; 13:e0204280. [PMID: 30240409 PMCID: PMC6150534 DOI: 10.1371/journal.pone.0204280] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2018] [Accepted: 09/04/2018] [Indexed: 01/15/2023] Open
Abstract
Age and cortical structure are both associated with cognition, but characterizing this relationship remains a challenge. A popular approach is to use functional network organization of the cortex as an organizing principle for post-hoc interpretations of structural results. In the current study, we introduce two complimentary approaches to structural analyses that are guided by a-priori functional network maps. Specifically, we systematically investigated the relationship of cortical structure (thickness and surface area) of distinct functional networks to two cognitive domains sensitive to age-related decline thought to rely on both common and distinct processes (executive function and episodic memory) in older adults. We quantified the cortical structure of individual functional network's predictive ability and spatial extent (i.e., number of significant regions) with cognition and its mediating role in the age-cognition relationship. We found that cortical thickness, rather than surface area, predicted cognition across the majority of functional networks. The default mode and somatomotor network emerged as particularly important as they appeared to be the only two networks to mediate the age-cognition relationship for both cognitive domains. In contrast, thickness of the salience network predicted executive function and mediated the age-cognition relationship for executive function. These relationships remained significant even after accounting for global cortical thickness. Quantifying the number of regions related to cognition and mediating the age-cognition relationship yielded similar patterns of results. This study provides a potential approach to organize and describe the apparent widespread regional cortical structural relationships with cognition and age in older adults.
Collapse
Affiliation(s)
- Michael B. Kranz
- Department of Psychology, University of Illinois at Urbana Champaign, Urbana, IL, United States of America
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Urbana, IL, United States of America
| | - Michelle W. Voss
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States of America
| | - Gillian E. Cooke
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Urbana, IL, United States of America
| | - Sarah E. Banducci
- Department of Psychology, University of Illinois at Urbana Champaign, Urbana, IL, United States of America
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Urbana, IL, United States of America
| | - Agnieszka Z. Burzynska
- Department of Human Development and Family Studies/ Molecular, Cellular and Integrative Neurosciences, Colorado State University, Fort Collins, CO, United States of America
| | - Arthur F. Kramer
- Department of Psychology, University of Illinois at Urbana Champaign, Urbana, IL, United States of America
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Urbana, IL, United States of America
- Departments of Psychology and Mechanical and Industrial Engineering, Northeastern University, Boston, MA, United States of America
| |
Collapse
|
26
|
Yang AC, Tsai SJ, Lin CP, Peng CK, Huang NE. Frequency and amplitude modulation of resting-state fMRI signals and their functional relevance in normal aging. Neurobiol Aging 2018; 70:59-69. [PMID: 30007165 DOI: 10.1016/j.neurobiolaging.2018.06.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 05/24/2018] [Accepted: 06/04/2018] [Indexed: 01/31/2023]
Abstract
The intrinsic composition and functional relevance of resting-state blood oxygen level-dependent signals are fundamental in research using functional magnetic resonance imaging (fMRI). Using the Hilbert-Huang Transform to estimate high-resolution time-frequency spectra, we investigated the instantaneous frequency and amplitude modulation of resting-state fMRI signals, as well as their functional relevance in a large normal-aging cohort (n = 420, age = 21-89 years). We evaluated the cognitive function of each participant and recorded respiratory signals during fMRI scans. The results showed that the Hilbert-Huang Transform effectively categorized resting-state fMRI power spectra into high (0.087-0.2 Hz), low (0.045-0.087 Hz), and very-low (≤0.045 Hz) frequency bands. The high-frequency power was associated with respiratory activity, and the low-frequency power was associated with cognitive function. Furthermore, within the cognition-related low-frequency band (0.045-0.087 Hz), we discovered that aging was associated with the increased frequency modulation and reduced amplitude modulation of the resting-state fMRI signal. These aging-related changes in frequency and amplitude modulation of resting-state fMRI signals were unaccounted for by the loss of gray matter volume and were consistently identified in the default mode and salience network. These findings indicate that resting-state fMRI signal modulations are dynamic during the normal aging process. In summary, our results refined the functionally related blood oxygen level-dependent frequency band in a considerably narrow band at a low-frequency range (0.045-0.087 Hz) and challenged the current method of resting-fMRI preprocessing by using low-frequency filters with a relatively wide range below 0.1 Hz.
Collapse
Affiliation(s)
- Albert C Yang
- Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan.
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan; Division of Psychiatry, School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Ching-Po Lin
- Division of Psychiatry, School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Chung-Kang Peng
- Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, USA
| | - Norden E Huang
- Center for Dynamical Biomarkers and Translational Medicine, National Central University, Chungli, Taiwan
| |
Collapse
|
27
|
Choi H, Kang H, Lee DS. Predicting Aging of Brain Metabolic Topography Using Variational Autoencoder. Front Aging Neurosci 2018; 10:212. [PMID: 30050430 PMCID: PMC6052253 DOI: 10.3389/fnagi.2018.00212] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 06/22/2018] [Indexed: 11/13/2022] Open
Abstract
Predicting future brain topography can give insight into neural correlates of aging and neurodegeneration. Due to variability in the aging process, it has been challenging to precisely estimate brain topographical change according to aging. Here, we predict age-related brain metabolic change by generating future brain 18F-Fluorodeoxyglucose PET. A cross-sectional PET dataset of cognitively normal subjects with different age was used to develop a generative model. The model generated PET images using age information and characteristic individual features. Predicted regional metabolic changes were correlated with the real changes obtained by follow-up data. This model was applied to produce a brain metabolism aging movie by generating PET at different ages. Normal population distribution of brain metabolic topography at each age was estimated as well. In addition, a generative model using APOE4 status as well as age as inputs revealed a significant effect of APOE4 status on age-related metabolic changes particularly in the calcarine, lingual cortex, hippocampus, and amygdala. It suggested APOE4 could be a factor affecting individual variability in age-related metabolic degeneration in normal elderly. This predictive model may not only be extended to understanding the cognitive aging process, but apply to the development of a preclinical biomarker for various brain disorders.
Collapse
Affiliation(s)
- Hongyoon Choi
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Hyejin Kang
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Dong Soo Lee
- Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, South Korea.,Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea.,Korea Brain Research Institute, Daegu, South Korea
| | | |
Collapse
|
28
|
De Marco M, Duzzi D, Meneghello F, Venneri A. Cognitive Efficiency in Alzheimer's Disease is Associated with Increased Occipital Connectivity. J Alzheimers Dis 2018; 57:541-556. [PMID: 28269781 DOI: 10.3233/jad-161164] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
There are cognitive domains which remain fully functional in a proportion of Alzheimer's disease (AD) patients. It is unknown, however, what distinctive mechanisms sustain such efficient processing. The concept of "cognitive efficiency" was investigated in these patients by operationalizing it as a function of the level of performance shown on the Letter Fluency test, on which, very often, patients in the early stages of AD show unimpaired performance. Forty-five individuals at the prodromal/early stage of AD (diagnosis supported by subsequent clinical follow-ups) and 45 healthy controls completed a battery of neuropsychological tests and an MRI protocol which included resting state acquisitions. The Letter Fluency test was the only task on which no between-group difference in performance was found. Participants were divided into "low-performing" and "high-performing" according to the global median. Dual-regression methods were implemented to compute six patterns of network connectivity. The diagnosis-by-level of performance interaction was inferred on each pattern to determine the network distinctiveness of efficient performance in AD. Significant interactions were found in the anterior default mode network, and in both left and right executive control networks. For all three circuits, high-performing patients showed increased connectivity within the ventral and dorsal part of BA19, as confirmed by post hoc t tests. Peristriate remapping is suggested to play a compensatory role. Since the occipital lobe is the neurophysiological source of long-range cortical connectivity, it is speculated that the physiological mechanisms of functional connectivity might sustain occipital functional remapping in early AD, particularly for those functions which are sustained by areas not excessively affected by the prodromal disease.
Collapse
Affiliation(s)
- Matteo De Marco
- Department of Neuroscience, University of Sheffield, Royal Hallamshire Hospital, Sheffield, UK.,IRCCS Fondazione Ospedale San Camillo, Venice Lido, Italy
| | - Davide Duzzi
- IRCCS Fondazione Ospedale San Camillo, Venice Lido, Italy
| | | | - Annalena Venneri
- Department of Neuroscience, University of Sheffield, Royal Hallamshire Hospital, Sheffield, UK.,IRCCS Fondazione Ospedale San Camillo, Venice Lido, Italy
| |
Collapse
|
29
|
Scarapicchia V, Mazerolle EL, Fisk JD, Ritchie LJ, Gawryluk JR. Resting State BOLD Variability in Alzheimer's Disease: A Marker of Cognitive Decline or Cerebrovascular Status? Front Aging Neurosci 2018; 10:39. [PMID: 29515434 PMCID: PMC5826397 DOI: 10.3389/fnagi.2018.00039] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2017] [Accepted: 02/02/2018] [Indexed: 01/18/2023] Open
Abstract
Background: Alzheimer's disease (AD) is a neurodegenerative disorder that may benefit from early diagnosis and intervention. Therefore, there is a need to identify early biomarkers of AD using non-invasive techniques such as functional magnetic resonance imaging (fMRI). Recently, novel approaches to the analysis of resting-state fMRI data have been developed that focus on the moment-to-moment variability in the blood oxygen level dependent (BOLD) signal. The objective of the current study was to investigate BOLD variability as a novel early biomarker of AD and its associated psychophysiological correlates. Method: Data were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) 2 database from 19 participants with AD and 19 similarly aged controls. For each participant, a map of BOLD signal variability (SDBOLD) was computed as the standard deviation of the BOLD timeseries at each voxel. Group comparisons were performed to examine global differences in resting state SDBOLD in AD versus healthy controls. Correlations were then examined between participant SDBOLD maps and (1) ADNI-derived composite scores of memory and executive function and (2) neuroimaging markers of cerebrovascular status. Results: Between-group comparisons revealed significant (p < 0.05) increases in SDBOLD in patients with AD relative to healthy controls in right-lateralized frontal regions. Lower memory scores and higher WMH burden were associated with greater SDBOLD in the healthy control group (p < 0.1), but not individuals with AD. Conclusion: The current study provides proof of concept of a novel resting state fMRI analysis technique that is non-invasive, easily accessible, and clinically compatible. To further explore the potential of SDBOLD as a biomarker of AD, additional studies in larger, longitudinal samples are needed to better understand the changes in SDBOLD that characterize earlier stages of disease progression and their underlying psychophysiological correlates.
Collapse
Affiliation(s)
| | - Erin L. Mazerolle
- Department of Radiology and The Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - John D. Fisk
- Department of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada
- Department of Psychology, Nova Scotia Health Authority, Queen Elizabeth II Health Sciences Centre, Halifax, NS, Canada
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- Department of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada
- Department of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Lesley J. Ritchie
- Department of Clinical Health Psychology, University of Manitoba, Winnipeg, MB, Canada
| | - Jodie R. Gawryluk
- Department of Psychology, University of Victoria, Victoria, BC, Canada
| |
Collapse
|
30
|
Baniqued PL, Gallen CL, Voss MW, Burzynska AZ, Wong CN, Cooke GE, Duffy K, Fanning J, Ehlers DK, Salerno EA, Aguiñaga S, McAuley E, Kramer AF, D'Esposito M. Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults. Front Aging Neurosci 2018; 9:426. [PMID: 29354050 PMCID: PMC5758542 DOI: 10.3389/fnagi.2017.00426] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Accepted: 12/11/2017] [Indexed: 01/01/2023] Open
Abstract
Recent work suggests that the brain can be conceptualized as a network comprised of groups of sub-networks or modules. The extent of segregation between modules can be quantified with a modularity metric, where networks with high modularity have dense connections within modules and sparser connections between modules. Previous work has shown that higher modularity predicts greater improvements after cognitive training in patients with traumatic brain injury and in healthy older and young adults. It is not known, however, whether modularity can also predict cognitive gains after a physical exercise intervention. Here, we quantified modularity in older adults (N = 128, mean age = 64.74) who underwent one of the following interventions for 6 months (NCT01472744 on ClinicalTrials.gov): (1) aerobic exercise in the form of brisk walking (Walk), (2) aerobic exercise in the form of brisk walking plus nutritional supplement (Walk+), (3) stretching, strengthening and stability (SSS), or (4) dance instruction. After the intervention, the Walk, Walk+ and SSS groups showed gains in cardiorespiratory fitness (CRF), with larger effects in both walking groups compared to the SSS and Dance groups. The Walk, Walk+ and SSS groups also improved in executive function (EF) as measured by reasoning, working memory, and task-switching tests. In the Walk, Walk+, and SSS groups that improved in EF, higher baseline modularity was positively related to EF gains, even after controlling for age, in-scanner motion and baseline EF. No relationship between modularity and EF gains was observed in the Dance group, which did not show training-related gains in CRF or EF control. These results are consistent with previous studies demonstrating that individuals with a more modular brain network organization are more responsive to cognitive training. These findings suggest that the predictive power of modularity may be generalizable across interventions aimed to enhance aspects of cognition and that, especially in low-performing individuals, global network properties can capture individual differences in neuroplasticity.
Collapse
Affiliation(s)
- Pauline L Baniqued
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States.,Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Courtney L Gallen
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States
| | - Michelle W Voss
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States
| | - Agnieszka Z Burzynska
- Department of Human Development and Family Studies, Colorado State University, Fort Collins, CO, United States
| | - Chelsea N Wong
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Gillian E Cooke
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.,Interdisciplinary Health Sciences Institute, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Kristin Duffy
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Jason Fanning
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, United States.,Department of Internal Medicine-Gerontology, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Diane K Ehlers
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Elizabeth A Salerno
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Susan Aguiñaga
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Edward McAuley
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.,Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Arthur F Kramer
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.,Psychology Department and Mechanical and Industrial Engineering Department, Northeastern University, Boston, MA, United States
| | - Mark D'Esposito
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States
| |
Collapse
|
31
|
Garrett DD, Lindenberger U, Hoge RD, Gauthier CJ. Age differences in brain signal variability are robust to multiple vascular controls. Sci Rep 2017; 7:10149. [PMID: 28860455 PMCID: PMC5579254 DOI: 10.1038/s41598-017-09752-7] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 07/31/2017] [Indexed: 11/09/2022] Open
Abstract
A host of studies support that younger, better performing adults express greater moment-to-moment blood oxygen level-dependent (BOLD) signal variability (SDBOLD) in various cortical regions, supporting an emerging view that the aging brain may undergo a generalized reduction in dynamic range. However, the exact physiological nature of age differences in SDBOLD remains understudied. In a sample of 29 younger and 45 older adults, we examined the contribution of vascular factors to age group differences in fixation-based SDBOLD using (1) a dual-echo BOLD/pseudo-continuous arterial spin labeling (pCASL) sequence, and (2) hypercapnia via a computer-controlled gas delivery system. We tested the hypothesis that, although SDBOLD may relate to individual differences in absolute cerebral blood flow (CBF), BOLD cerebrovascular reactivity (CVR), or maximum BOLD signal change (M), robust age differences in SDBOLD would remain after multiple statistical controls for these vascular factors. As expected, our results demonstrated that brain regions in which younger adults expressed higher SDBOLD persisted after comprehensive control of vascular effects. Our findings thus further establish BOLD signal variability as an important marker of the aging brain.
Collapse
Affiliation(s)
- Douglas D Garrett
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin/London, Germany. .,Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.
| | - Ulman Lindenberger
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin/London, Germany.,Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,European University Institute, San Domenico di Fiesole (FI), Fiesole, Italy
| | - Richard D Hoge
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Claudine J Gauthier
- Department of Physics, Concordia University, Montreal, Canada.,PERFORM Centre, Concordia University, Montreal, Canada
| |
Collapse
|
32
|
Jonasson LS, Nyberg L, Kramer AF, Lundquist A, Riklund K, Boraxbekk CJ. Aerobic Exercise Intervention, Cognitive Performance, and Brain Structure: Results from the Physical Influences on Brain in Aging (PHIBRA) Study. Front Aging Neurosci 2017; 8:336. [PMID: 28149277 PMCID: PMC5241294 DOI: 10.3389/fnagi.2016.00336] [Citation(s) in RCA: 125] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 12/23/2016] [Indexed: 11/13/2022] Open
Abstract
Studies have shown that aerobic exercise has the potential to improve cognition and reduce brain atrophy in older adults. However, the literature is equivocal with regards to the specificity or generality of these effects. To this end, we report results on cognitive function and brain structure from a 6-month training intervention with 60 sedentary adults (64-78 years) randomized to either aerobic training or stretching and toning control training. Cognitive functions were assessed with a neuropsychological test battery in which cognitive constructs were measured using several different tests. Freesurfer was used to estimate cortical thickness in frontal regions and hippocampus volume. Results showed that aerobic exercisers, compared to controls, exhibited a broad, rather than specific, improvement in cognition as indexed by a higher "Cognitive score," a composite including episodic memory, processing speed, updating, and executive function tasks (p = 0.01). There were no group differences in cortical thickness, but additional analyses revealed that aerobic fitness at baseline was specifically related to larger thickness in dorsolateral prefrontal cortex (dlPFC), and hippocampus volume was positively associated with increased aerobic fitness over time. Moreover, "Cognitive score" was related to dlPFC thickness at baseline, but changes in "Cognitive score" and dlPFC thickness were associated over time in the aerobic group only. However, aerobic fitness did not predict dlPFC change, despite the improvement in "Cognitive score" in aerobic exercisers. Our interpretation of these observations is that potential exercise-induced changes in thickness are slow, and may be undetectable within 6-months, in contrast to change in hippocampus volume which in fact was predicted by the change in aerobic fitness. To conclude, our results add to a growing literature suggesting that aerobic exercise has a broad influence on cognitive functioning, which may aid in explaining why studies focusing on a narrower range of functions have sometimes reported mixed results.
Collapse
Affiliation(s)
- Lars S. Jonasson
- Department of Radiation Sciences, Diagnostic Radiology, Umeå UniversityUmeå, Sweden
- Umeå Center for Functional Brain Imaging, Umeå UniversityUmeå, Sweden
- Center for Demographic and Aging Research, Umeå UniversityUmeå, Sweden
| | - Lars Nyberg
- Department of Radiation Sciences, Diagnostic Radiology, Umeå UniversityUmeå, Sweden
- Umeå Center for Functional Brain Imaging, Umeå UniversityUmeå, Sweden
- Department of Integrative Medical Biology, Physiology, Umeå UniversityUmeå, Sweden
| | - Arthur F. Kramer
- Departments of Psychology and Mechanical and Industrial Engineering, Northeastern UniversityBoston, MA, USA
- Beckman Institute, University of Illinois at Urbana-ChampaignUrbana-Champaign, IL, USA
| | - Anders Lundquist
- Umeå Center for Functional Brain Imaging, Umeå UniversityUmeå, Sweden
- Department of Statistics, Umeå School of Business and Economics, Umeå UniversityUmeå, Sweden
| | - Katrine Riklund
- Department of Radiation Sciences, Diagnostic Radiology, Umeå UniversityUmeå, Sweden
- Umeå Center for Functional Brain Imaging, Umeå UniversityUmeå, Sweden
| | - Carl-Johan Boraxbekk
- Umeå Center for Functional Brain Imaging, Umeå UniversityUmeå, Sweden
- Center for Demographic and Aging Research, Umeå UniversityUmeå, Sweden
- Danish Research Centre for Magnetic Resonance, Copenhagen University HospitalHvidovre, Denmark
| |
Collapse
|
33
|
Clark AL, Bangen KJ, Sorg SF, Schiehser DM, Evangelista ND, McKenna B, Liu TT, Delano-Wood L. Dynamic association between perfusion and white matter integrity across time since injury in Veterans with history of TBI. Neuroimage Clin 2016; 14:308-315. [PMID: 28210542 PMCID: PMC5299206 DOI: 10.1016/j.nicl.2016.12.017] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 12/14/2016] [Accepted: 12/16/2016] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Cerebral blood flow (CBF) plays a critical role in the maintenance of neuronal integrity, and CBF alterations have been linked to deleterious white matter changes. Although both CBF and white matter microstructural alterations have been observed within the context of traumatic brain injury (TBI), the degree to which these pathological changes relate to one another and whether this association is altered by time since injury have not been examined. The current study therefore sought to clarify associations between resting CBF and white matter microstructure post-TBI. METHODS 37 veterans with history of mild or moderate TBI (mmTBI) underwent neuroimaging and completed health and psychiatric symptom questionnaires. Resting CBF was measured with multiphase pseudocontinuous arterial spin labeling (MPPCASL), and white matter microstructural integrity was measured with diffusion tensor imaging (DTI). The cingulate cortex and cingulum bundle were selected as a priori regions of interest for the ASL and DTI data, respectively, given the known vulnerability of these regions to TBI. RESULTS Regression analyses controlling for age, sex, and posttraumatic stress disorder (PTSD) symptoms revealed a significant time since injury × resting CBF interaction for the left cingulum (p < 0.005). Decreased CBF was significantly associated with reduced cingulum fractional anisotropy (FA) in the chronic phase; however, no such association was observed for participants with less remote TBI. CONCLUSIONS Our results showed that reduced CBF was associated with poorer white matter integrity in those who were further removed from their brain injury. Findings provide preliminary evidence of a possible dynamic association between CBF and white matter microstructure that warrants additional consideration within the context of the negative long-term clinical outcomes frequently observed in those with history of TBI. Additional cross-disciplinary studies integrating multiple imaging modalities (e.g., DTI, ASL) and refined neuropsychiatric assessment are needed to better understand the nature, temporal course, and dynamic association between brain changes and clinical outcomes post-injury.
Collapse
Affiliation(s)
- Alexandra L. Clark
- San Diego State University/University of California, San Diego (SDSU/UCSD) Joint Doctoral Program in Clinical Psychology, United States
- VA San Diego Healthcare System (VASDHS), United States
| | - Katherine J. Bangen
- VA San Diego Healthcare System (VASDHS), United States
- University of California San Diego, School of Medicine, Department of Psychiatry, United States
| | - Scott F. Sorg
- VA San Diego Healthcare System (VASDHS), United States
- University of California San Diego, School of Medicine, Department of Psychiatry, United States
| | - Dawn M. Schiehser
- VA San Diego Healthcare System (VASDHS), United States
- Center of Excellence for Stress and Mental Health, VASDHS, United States
- University of California San Diego, School of Medicine, Department of Psychiatry, United States
| | - Nicole D. Evangelista
- VA San Diego Healthcare System (VASDHS), United States
- University of California San Diego, School of Medicine, Department of Psychiatry, United States
| | - Benjamin McKenna
- VA San Diego Healthcare System (VASDHS), United States
- University of California San Diego, School of Medicine, Department of Psychiatry, United States
| | - Thomas T. Liu
- University of California San Diego, Department of Radiology, Keck Center for Functional MRI, United States
| | - Lisa Delano-Wood
- VA San Diego Healthcare System (VASDHS), United States
- Center of Excellence for Stress and Mental Health, VASDHS, United States
- University of California San Diego, School of Medicine, Department of Psychiatry, United States
| |
Collapse
|
34
|
Kann S, Zhang S, Manza P, Leung HC, Li CSR. Hemispheric Lateralization of Resting-State Functional Connectivity of the Anterior Insula: Association with Age, Gender, and a Novelty-Seeking Trait. Brain Connect 2016; 6:724-734. [PMID: 27604154 PMCID: PMC5105339 DOI: 10.1089/brain.2016.0443] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Resting-state functional connectivity (rsFC) is widely used to examine cerebral functional organization. The imaging literature has described lateralization of insula activations during cognitive and affective processing. Evidence appears to support a role of the right-hemispheric insula in attentional orientation to salient stimulus, interoception, and physiological arousal, and a role of the left-hemispheric insula in cognitive and affective control, as well as perspective taking. In this study, in a large data set of healthy adults, we examined lateralization of the rsFC of the anterior insula (AI) by computing a laterality index (LI) of connectivity with 54 regions from the Automated Anatomic Labeling atlas. At a corrected threshold (p < 0.001), the AI is left lateralized in connectivity with the dorsomedial prefrontal cortex, superior frontal gyrus, inferior frontal cortex, and posterior orbital gyrus and right lateralized in connectivity with the postcentral gyrus, supramarginal gyrus, and superior parietal lobule. In gender differences, women, but not men, showed right-lateralized connectivity to the thalamus. Furthermore, in a subgroup of participants assessed by the tridimensional personality questionnaire, novelty seeking is correlated with the extent of left lateralization of AI connectivity to the pallidum and putamen in men and with the extent of right lateralization of AI connectivity to the parahippocampal gyrus in women. These findings support hemispheric functional differentiation of the AI.
Collapse
Affiliation(s)
- Sarah Kann
- 1 Department of Psychology, State University of New York , Stony Brook, New York
| | - Sheng Zhang
- 2 Department of Psychiatry, Yale University School of Medicine , New Haven, Connecticut
| | - Peter Manza
- 1 Department of Psychology, State University of New York , Stony Brook, New York
| | - Hoi-Chung Leung
- 1 Department of Psychology, State University of New York , Stony Brook, New York
| | - Chiang-Shan R Li
- 2 Department of Psychiatry, Yale University School of Medicine , New Haven, Connecticut.,3 Department of Neuroscience, Yale University School of Medicine , New Haven, Connecticut.,4 Interdepartmental Neuroscience Program, Yale University School of Medicine , New Haven, Connecticut
| |
Collapse
|
35
|
Yang AC, Tsai SJ, Liu ME, Huang CC, Lin CP. The Association of Aging with White Matter Integrity and Functional Connectivity Hubs. Front Aging Neurosci 2016; 8:143. [PMID: 27378915 PMCID: PMC4908139 DOI: 10.3389/fnagi.2016.00143] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Accepted: 05/30/2016] [Indexed: 12/12/2022] Open
Abstract
Normal aging is associated with reduced cerebral structural integrity and altered functional brain activity, yet the association of aging with the relationship between structural and functional brain changes remains unclear. Using combined diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) modalities, we hypothesized that aging-related changes in white matter integrity (i.e., fractional anisotropy) was associated with the short- or long-range functional connectivity density (FCD) in hub regions. We tested this hypothesis by using a healthy aging cohort comprised of 140 younger adults aged 20–39 years and 109 older adults aged 60–79 years. Compared with the younger group, older adults exhibited widespread reductions in white matter integrity with selective preservation in brain stem tracts and the cingulum connected to the hippocampus and cingulate cortex, whereas FCD mapping in older adults showed a reduced FCD in the visual, somatosensory, and motor functional networks and an increased FCD in the default mode network. The older adults exhibited significantly increased short- or long-range FCD in functional hubs of the precuneus, posterior, and middle cingulate, and thalamus, hippocampus, fusiform, and inferior temporal cortex. Furthermore, DTI-fMRI relationship were predominantly identified in older adults in whom short- and long-range FCD in the left precuneus was negatively correlated to structural integrity of adjacent and nonadjacent white matter tracts, respectively. We also found that long-range FCD in the left precuneus was positively correlated to cognitive function. These results support the compensatory hypothesis of neurocognitive aging theory and reveal the DTI-fMRI relationship associated with normal aging.
Collapse
Affiliation(s)
- Albert C Yang
- Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center/Harvard Medical SchoolBoston, MA, USA; Department of Psychiatry, Taipei Veterans General HospitalTaipei, Taiwan; Division of Psychiatry, School of Medicine, National Yang-Ming UniversityTaipei, Taiwan; Center for Dynamical Biomarkers and Translational Medicine, National Central UniversityChungli, Taiwan
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General HospitalTaipei, Taiwan; Division of Psychiatry, School of Medicine, National Yang-Ming UniversityTaipei, Taiwan
| | - Mu-En Liu
- Department of Psychiatry, Taipei Veterans General HospitalTaipei, Taiwan; Division of Psychiatry, School of Medicine, National Yang-Ming UniversityTaipei, Taiwan
| | - Chu-Chung Huang
- Institute of Brain Science, National Yang-Ming University Taipei, Taiwan
| | - Ching-Po Lin
- Institute of Brain Science, National Yang-Ming University Taipei, Taiwan
| |
Collapse
|
36
|
Altered tract-specific white matter microstructure is related to poorer cognitive performance: The Rotterdam Study. Neurobiol Aging 2016; 39:108-17. [PMID: 26923407 DOI: 10.1016/j.neurobiolaging.2015.11.021] [Citation(s) in RCA: 75] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 11/24/2015] [Accepted: 11/26/2015] [Indexed: 01/23/2023]
|
37
|
Burzynska AZ, Wong CN, Voss MW, Cooke GE, Gothe NP, Fanning J, McAuley E, Kramer AF. Physical Activity Is Linked to Greater Moment-To-Moment Variability in Spontaneous Brain Activity in Older Adults. PLoS One 2015; 10:e0134819. [PMID: 26244873 PMCID: PMC4526228 DOI: 10.1371/journal.pone.0134819] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Accepted: 07/14/2015] [Indexed: 11/19/2022] Open
Abstract
Higher cardiorespiratory fitness (CRF) and physical activity (PA) in old age are associated with greater brain structural and functional integrity, and higher cognitive functioning. However, it is not known how different aspects of lifestyle such as sedentariness, light PA (LI-PA), or moderate-to-vigorous physical activity (MV-PA) relate to neural activity in aging. In addition, it is not known whether the effects of PA on brain function differ or overlap with those of CRF. Here, we objectively measured CRF as oxygen consumption during a maximal exercise test and measured PA with an accelerometer worn for 7 days in 100 healthy but low active older adults (aged 60–80 years). We modeled the relationships between CRF, PA, and brain functional integrity using multivariate partial least squares analysis. As an index of functional brain integrity we used spontaneous moment-to-moment variability in the blood oxygenation level-dependent signal (SDBOLD), known to be associated with better cognitive functioning in aging. We found that older adults who engaged more in LI-PA and MV-PA had greater SDBOLD in brain regions that play a role in integrating segregated functional domains in the brain and benefit from greater CRF or PA, such as precuneus, hippocampus, medial and lateral prefrontal, and temporal cortices. Our results suggest that engaging in higher intensity PA may have protective effects on neural processing in aging. Finally, we demonstrated that older adults with greater overall WM microstructure were those showing more LI-PA and MV-PA and greater SDBOLD. We conclude that SDBOLD is a promising correlate of functional brain health in aging. Future analyses will evaluate whether SDBOLD is modifiable with interventions aimed to increase PA and CRF in older adults.
Collapse
Affiliation(s)
- Agnieszka Z. Burzynska
- The Beckman Institute for Advanced Science and Technology at the University of Illinois, Urbana, IL, United States of America
- * E-mail:
| | - Chelsea N. Wong
- The Beckman Institute for Advanced Science and Technology at the University of Illinois, Urbana, IL, United States of America
| | - Michelle W. Voss
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States of America
| | - Gillian E. Cooke
- The Beckman Institute for Advanced Science and Technology at the University of Illinois, Urbana, IL, United States of America
| | - Neha P. Gothe
- Department of Kinesiology, Health and Sport Studies, Wayne State University, Detroit, MI, United States of America
| | - Jason Fanning
- Department of Kinesiology and Community Health, University of Illinois, Urbana, IL, United States of America
| | - Edward McAuley
- Department of Kinesiology, Health and Sport Studies, Wayne State University, Detroit, MI, United States of America
| | - Arthur F. Kramer
- The Beckman Institute for Advanced Science and Technology at the University of Illinois, Urbana, IL, United States of America
| |
Collapse
|