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Doucet G, Kruse JA, Hamlin N, Peyrin C, Poirel N. Neural correlates underlying local and global processing during visual search across adulthood. PLoS One 2024; 19:e0303796. [PMID: 38905236 PMCID: PMC11192325 DOI: 10.1371/journal.pone.0303796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 04/30/2024] [Indexed: 06/23/2024] Open
Abstract
Visual processing relies on the identification of both local and global features of visual stimuli. While well investigated at the behavioral level, the underlying brain mechanisms are less clear, especially in the context of aging. Using fMRI, we aimed to investigate the neural correlates underlying local and global processing in early and late adulthood. We recruited 77 healthy adults aged 19-77 who completed a visual search task based on 2-level hierarchical stimuli made of squares and/or circles. Participants were instructed to detect a target (a square) at either a local (small) or global (large) level of a hierarchical geometrical form, in the presence or absence of other hierarchical geometrical forms (distractors). At the behavioral level, we revealed high accuracy for all participants, but older participants were slower to detect local targets, specifically in presence of distractors. At the brain level, while both local and global processing were associated with occipital activation, local processing also recruited the anterior insula and dorsal anterior cingulate cortex, that are core regions of the salience network. However, while the presence of distractors in the local condition elicited specifically stronger activation within the right anterior insula for the young group, it was not observed for older participants. In addition, older participants showed less activation than younger participants in the occipital cortex, especially for the most complex conditions. Our findings suggest that the brain correlates underlying local and global processing change with aging, especially for complex visual patterns. These results are discussed in terms of top-down reduction effects from the salience network on primary visual areas, that may lead to specific difficulties to process local visual details in older adults.
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Affiliation(s)
- Gaelle Doucet
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, Nebraska, United States of America
- Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, Nebraska, United States of America
| | - Jordanna A. Kruse
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, Nebraska, United States of America
| | - Noah Hamlin
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, Nebraska, United States of America
| | - Carole Peyrin
- French National Centre for Scientific Research, Laboratoire de Psychologie et NeuroCognition, Universite Grenoble Alpes, Universite Savoie Mont Blanc, Grenoble, France
| | - Nicolas Poirel
- LaPsyDÉ, French National Centre for Scientific Research, Université de Paris, Paris, France
- GIP Cyceron, Caen, France
- Institut Universitaire de France, Paris, France
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Baciu M, Roger E. Finding the Words: How Does the Aging Brain Process Language? A Focused Review of Brain Connectivity and Compensatory Pathways. Top Cogn Sci 2024. [PMID: 38734967 DOI: 10.1111/tops.12736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 04/30/2024] [Accepted: 05/02/2024] [Indexed: 05/13/2024]
Abstract
As people age, there is a natural decline in cognitive functioning and brain structure. However, the relationship between brain function and cognition in older adults is neither straightforward nor uniform. Instead, it is complex, influenced by multiple factors, and can vary considerably from one person to another. Reserve, compensation, and maintenance mechanisms may help explain why some older adults can maintain high levels of performance while others struggle. These mechanisms are often studied concerning memory and executive functions that are particularly sensitive to the effects of aging. However, language abilities can also be affected by age, with changes in production fluency. The impact of brain changes on language abilities needs to be further investigated to understand the dynamics and patterns of aging, especially successful aging. We previously modeled several compensatory profiles of language production and lexical access/retrieval in aging within the Lexical Access and Retrieval in Aging (LARA) model. In the present paper, we propose an extended version of the LARA model, called LARA-Connectivity (LARA-C), incorporating recent evidence on brain connectivity. Finally, we discuss factors that may influence the strategies implemented with aging. The LARA-C model can serve as a framework to understand individual performance and open avenues for possible personalized interventions.
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Affiliation(s)
- Monica Baciu
- LPNC, Psychology Department, Grenoble Alps University
- Neurology Department, Grenoble Alps University Hospital
| | - Elise Roger
- LPNC, Psychology Department, Grenoble Alps University
- Communication and Aging Laboratory, Research Center of the University Institute of Geriatrics of Montreal
- Faculty of Medicine, University of Montreal
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Roger E, Labache L, Hamlin N, Kruse J, Baciu M, Doucet GE. When Age Tips the Balance: a Dual Mechanism Affecting Hemispheric Specialization for Language. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.04.569978. [PMID: 38106059 PMCID: PMC10723284 DOI: 10.1101/2023.12.04.569978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Aging engenders neuroadaptations, generally reducing specificity and selectivity in functional brain responses. Our investigation delves into the functional specialization of brain hemispheres within language-related networks across adulthood. In a cohort of 728 healthy adults spanning ages 18 to 88, we modeled the trajectories of inter-hemispheric asymmetry concerning the principal functional gradient across 37 homotopic regions of interest (hROIs) of an extensive language network, known as the Language-and-Memory Network. Our findings reveal that over two-thirds of Language-and-Memory Network hROIs undergo asymmetry changes with age, falling into two main clusters. The first cluster evolves from left-sided specialization to right-sided tendencies, while the second cluster transitions from right-sided asymmetry to left-hemisphere dominance. These reversed asymmetry shifts manifest around midlife, occurring after age 50, and are associated with poorer language production performance. Our results provide valuable insights into the influence of functional brain asymmetries on language proficiency and present a dynamic perspective on brain plasticity during the typical aging process.
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Affiliation(s)
- Elise Roger
- Institut Universitaire de Gériatrie de Montréal, Communication and Aging Lab, Montreal, Quebec, Canada
- Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France
| | - Loïc Labache
- Department of Psychology, Yale University, New Haven, CT, 06520, US
| | - Noah Hamlin
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, US
- Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE, 68178, US
| | - Jordanna Kruse
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, US
- Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE, 68178, US
| | - Monica Baciu
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France
| | - Gaelle E. Doucet
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, 68010, US
- Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE, 68178, US
- Center for Pediatric Brain Health, Boys Town National Research Hospital, Omaha, NE, 68178, US
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Roy JC, Desmidt T, Dam S, Mirea-Grivel I, Weyl L, Bannier E, Barantin L, Drapier D, Batail JM, David R, Coloigner J, Robert GH. Connectivity patterns of the core resting-state networks associated with apathy in late-life depression. J Psychiatry Neurosci 2023; 48:E404-E413. [PMID: 37914222 PMCID: PMC10620011 DOI: 10.1503/jpn.230008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 04/28/2023] [Accepted: 08/03/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND Apathy is associated with reduced antidepressant response and dementia in late-life depression (LLD). However, the functional cerebral basis of apathy is understudied in LLD. We investigated the functional connectivity of 5 resting-state networks (RSN) hypothesized to underlie apathy in LLD. METHODS Resting-state functional MRI data were collected from individuals with LLD who did not have dementia as well as healthy older adults between October 2019 and April 2022. Apathy was evaluated using the diagnostic criteria for apathy (DCA), the Apathy Evaluation Scale (AES) and the Apathy Motivation Index (AMI). Subnetworks whose connectivity was significantly associated with each apathy measure were identified via the threshold-free network-based statistics. Regions that were consistently associated with apathy across the measures were reported as robust findings. RESULTS Our sample included 39 individuals with LLD who did not have dementia and 26 healthy older adults. Compared with healthy controls, individuals with LLD had an altered intra-RSN and inter-RNS connectivity in the default mode, the cingulo-opercular and the frontoparietal networks. All 3 apathy measurements showed associations with modified intra-RSN connectivity in these networks, except for the DCA in the cingulo-opercular network. The AMI scores showed stronger associations with the cingulo-opercular and frontoparietal networks, whereas the AES had stronger associations with the default mode network and the goal-oriented behaviour network. LIMITATIONS The study was limited by the small number of participants without apathy according to the DCA, which may have reduced the statistical power of between-group comparisons. Additionally, the reliance on specific apathy measures may have influenced the observed overlap in brain regions. CONCLUSION Our findings indicate that apathy in LLD is consistently associated with changes in both intra-RSN and inter-RSN connectivity of brain regions implicated in goal-oriented behaviours. These results corroborate previous findings of altered functional RSN connectivity in severe LLD.
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Affiliation(s)
- Jean-Charles Roy
- From the Centre Hospitalier Guillaume Régnier, Pôle Hospitalo-Universitaire de Psychiatrie Adulte, Rennes, France (Roy, Mirea-Grivel, Louise, Drapier, Batail, Robert); the Centre d'investigation clinique (CIC) de Rennes 1414, CHU de Rennes, Institut national de la santé et de la recherche médicale (INSERM), Rennes, France (Roy, Drapier, Batail, Robert); l'Université de Rennes, Inria Centre, Centre National de la Recherche Scientifique, IRISA, INSERM, Empenn U1228 ERL, Rennes, France (Roy, Dam, Bannier, Coloigner, Robert); the Service de Radiologie, CHU Rennes, Rennes, France (Bannier); the CHU de Tours, Tours, France (Desmidt, Barantin); the UMR 1253, iBrain, Université de Tours, INSERM, Tours, France (Desmidt, Barantin); the CIC 1415, CHU de Tours, INSERM, Tours, France (Desmidt); the CoBTeK (Cognition Behaviour Technology) Lab, University Côte d'Azur, Nice, France (David)
| | - Thomas Desmidt
- From the Centre Hospitalier Guillaume Régnier, Pôle Hospitalo-Universitaire de Psychiatrie Adulte, Rennes, France (Roy, Mirea-Grivel, Louise, Drapier, Batail, Robert); the Centre d'investigation clinique (CIC) de Rennes 1414, CHU de Rennes, Institut national de la santé et de la recherche médicale (INSERM), Rennes, France (Roy, Drapier, Batail, Robert); l'Université de Rennes, Inria Centre, Centre National de la Recherche Scientifique, IRISA, INSERM, Empenn U1228 ERL, Rennes, France (Roy, Dam, Bannier, Coloigner, Robert); the Service de Radiologie, CHU Rennes, Rennes, France (Bannier); the CHU de Tours, Tours, France (Desmidt, Barantin); the UMR 1253, iBrain, Université de Tours, INSERM, Tours, France (Desmidt, Barantin); the CIC 1415, CHU de Tours, INSERM, Tours, France (Desmidt); the CoBTeK (Cognition Behaviour Technology) Lab, University Côte d'Azur, Nice, France (David)
| | - Sébastien Dam
- From the Centre Hospitalier Guillaume Régnier, Pôle Hospitalo-Universitaire de Psychiatrie Adulte, Rennes, France (Roy, Mirea-Grivel, Louise, Drapier, Batail, Robert); the Centre d'investigation clinique (CIC) de Rennes 1414, CHU de Rennes, Institut national de la santé et de la recherche médicale (INSERM), Rennes, France (Roy, Drapier, Batail, Robert); l'Université de Rennes, Inria Centre, Centre National de la Recherche Scientifique, IRISA, INSERM, Empenn U1228 ERL, Rennes, France (Roy, Dam, Bannier, Coloigner, Robert); the Service de Radiologie, CHU Rennes, Rennes, France (Bannier); the CHU de Tours, Tours, France (Desmidt, Barantin); the UMR 1253, iBrain, Université de Tours, INSERM, Tours, France (Desmidt, Barantin); the CIC 1415, CHU de Tours, INSERM, Tours, France (Desmidt); the CoBTeK (Cognition Behaviour Technology) Lab, University Côte d'Azur, Nice, France (David)
| | - Iris Mirea-Grivel
- From the Centre Hospitalier Guillaume Régnier, Pôle Hospitalo-Universitaire de Psychiatrie Adulte, Rennes, France (Roy, Mirea-Grivel, Louise, Drapier, Batail, Robert); the Centre d'investigation clinique (CIC) de Rennes 1414, CHU de Rennes, Institut national de la santé et de la recherche médicale (INSERM), Rennes, France (Roy, Drapier, Batail, Robert); l'Université de Rennes, Inria Centre, Centre National de la Recherche Scientifique, IRISA, INSERM, Empenn U1228 ERL, Rennes, France (Roy, Dam, Bannier, Coloigner, Robert); the Service de Radiologie, CHU Rennes, Rennes, France (Bannier); the CHU de Tours, Tours, France (Desmidt, Barantin); the UMR 1253, iBrain, Université de Tours, INSERM, Tours, France (Desmidt, Barantin); the CIC 1415, CHU de Tours, INSERM, Tours, France (Desmidt); the CoBTeK (Cognition Behaviour Technology) Lab, University Côte d'Azur, Nice, France (David)
| | - Louise Weyl
- From the Centre Hospitalier Guillaume Régnier, Pôle Hospitalo-Universitaire de Psychiatrie Adulte, Rennes, France (Roy, Mirea-Grivel, Louise, Drapier, Batail, Robert); the Centre d'investigation clinique (CIC) de Rennes 1414, CHU de Rennes, Institut national de la santé et de la recherche médicale (INSERM), Rennes, France (Roy, Drapier, Batail, Robert); l'Université de Rennes, Inria Centre, Centre National de la Recherche Scientifique, IRISA, INSERM, Empenn U1228 ERL, Rennes, France (Roy, Dam, Bannier, Coloigner, Robert); the Service de Radiologie, CHU Rennes, Rennes, France (Bannier); the CHU de Tours, Tours, France (Desmidt, Barantin); the UMR 1253, iBrain, Université de Tours, INSERM, Tours, France (Desmidt, Barantin); the CIC 1415, CHU de Tours, INSERM, Tours, France (Desmidt); the CoBTeK (Cognition Behaviour Technology) Lab, University Côte d'Azur, Nice, France (David)
| | - Elise Bannier
- From the Centre Hospitalier Guillaume Régnier, Pôle Hospitalo-Universitaire de Psychiatrie Adulte, Rennes, France (Roy, Mirea-Grivel, Louise, Drapier, Batail, Robert); the Centre d'investigation clinique (CIC) de Rennes 1414, CHU de Rennes, Institut national de la santé et de la recherche médicale (INSERM), Rennes, France (Roy, Drapier, Batail, Robert); l'Université de Rennes, Inria Centre, Centre National de la Recherche Scientifique, IRISA, INSERM, Empenn U1228 ERL, Rennes, France (Roy, Dam, Bannier, Coloigner, Robert); the Service de Radiologie, CHU Rennes, Rennes, France (Bannier); the CHU de Tours, Tours, France (Desmidt, Barantin); the UMR 1253, iBrain, Université de Tours, INSERM, Tours, France (Desmidt, Barantin); the CIC 1415, CHU de Tours, INSERM, Tours, France (Desmidt); the CoBTeK (Cognition Behaviour Technology) Lab, University Côte d'Azur, Nice, France (David)
| | - Laurent Barantin
- From the Centre Hospitalier Guillaume Régnier, Pôle Hospitalo-Universitaire de Psychiatrie Adulte, Rennes, France (Roy, Mirea-Grivel, Louise, Drapier, Batail, Robert); the Centre d'investigation clinique (CIC) de Rennes 1414, CHU de Rennes, Institut national de la santé et de la recherche médicale (INSERM), Rennes, France (Roy, Drapier, Batail, Robert); l'Université de Rennes, Inria Centre, Centre National de la Recherche Scientifique, IRISA, INSERM, Empenn U1228 ERL, Rennes, France (Roy, Dam, Bannier, Coloigner, Robert); the Service de Radiologie, CHU Rennes, Rennes, France (Bannier); the CHU de Tours, Tours, France (Desmidt, Barantin); the UMR 1253, iBrain, Université de Tours, INSERM, Tours, France (Desmidt, Barantin); the CIC 1415, CHU de Tours, INSERM, Tours, France (Desmidt); the CoBTeK (Cognition Behaviour Technology) Lab, University Côte d'Azur, Nice, France (David)
| | - Dominique Drapier
- From the Centre Hospitalier Guillaume Régnier, Pôle Hospitalo-Universitaire de Psychiatrie Adulte, Rennes, France (Roy, Mirea-Grivel, Louise, Drapier, Batail, Robert); the Centre d'investigation clinique (CIC) de Rennes 1414, CHU de Rennes, Institut national de la santé et de la recherche médicale (INSERM), Rennes, France (Roy, Drapier, Batail, Robert); l'Université de Rennes, Inria Centre, Centre National de la Recherche Scientifique, IRISA, INSERM, Empenn U1228 ERL, Rennes, France (Roy, Dam, Bannier, Coloigner, Robert); the Service de Radiologie, CHU Rennes, Rennes, France (Bannier); the CHU de Tours, Tours, France (Desmidt, Barantin); the UMR 1253, iBrain, Université de Tours, INSERM, Tours, France (Desmidt, Barantin); the CIC 1415, CHU de Tours, INSERM, Tours, France (Desmidt); the CoBTeK (Cognition Behaviour Technology) Lab, University Côte d'Azur, Nice, France (David)
| | - Jean-Marie Batail
- From the Centre Hospitalier Guillaume Régnier, Pôle Hospitalo-Universitaire de Psychiatrie Adulte, Rennes, France (Roy, Mirea-Grivel, Louise, Drapier, Batail, Robert); the Centre d'investigation clinique (CIC) de Rennes 1414, CHU de Rennes, Institut national de la santé et de la recherche médicale (INSERM), Rennes, France (Roy, Drapier, Batail, Robert); l'Université de Rennes, Inria Centre, Centre National de la Recherche Scientifique, IRISA, INSERM, Empenn U1228 ERL, Rennes, France (Roy, Dam, Bannier, Coloigner, Robert); the Service de Radiologie, CHU Rennes, Rennes, France (Bannier); the CHU de Tours, Tours, France (Desmidt, Barantin); the UMR 1253, iBrain, Université de Tours, INSERM, Tours, France (Desmidt, Barantin); the CIC 1415, CHU de Tours, INSERM, Tours, France (Desmidt); the CoBTeK (Cognition Behaviour Technology) Lab, University Côte d'Azur, Nice, France (David)
| | - Renaud David
- From the Centre Hospitalier Guillaume Régnier, Pôle Hospitalo-Universitaire de Psychiatrie Adulte, Rennes, France (Roy, Mirea-Grivel, Louise, Drapier, Batail, Robert); the Centre d'investigation clinique (CIC) de Rennes 1414, CHU de Rennes, Institut national de la santé et de la recherche médicale (INSERM), Rennes, France (Roy, Drapier, Batail, Robert); l'Université de Rennes, Inria Centre, Centre National de la Recherche Scientifique, IRISA, INSERM, Empenn U1228 ERL, Rennes, France (Roy, Dam, Bannier, Coloigner, Robert); the Service de Radiologie, CHU Rennes, Rennes, France (Bannier); the CHU de Tours, Tours, France (Desmidt, Barantin); the UMR 1253, iBrain, Université de Tours, INSERM, Tours, France (Desmidt, Barantin); the CIC 1415, CHU de Tours, INSERM, Tours, France (Desmidt); the CoBTeK (Cognition Behaviour Technology) Lab, University Côte d'Azur, Nice, France (David)
| | - Julie Coloigner
- From the Centre Hospitalier Guillaume Régnier, Pôle Hospitalo-Universitaire de Psychiatrie Adulte, Rennes, France (Roy, Mirea-Grivel, Louise, Drapier, Batail, Robert); the Centre d'investigation clinique (CIC) de Rennes 1414, CHU de Rennes, Institut national de la santé et de la recherche médicale (INSERM), Rennes, France (Roy, Drapier, Batail, Robert); l'Université de Rennes, Inria Centre, Centre National de la Recherche Scientifique, IRISA, INSERM, Empenn U1228 ERL, Rennes, France (Roy, Dam, Bannier, Coloigner, Robert); the Service de Radiologie, CHU Rennes, Rennes, France (Bannier); the CHU de Tours, Tours, France (Desmidt, Barantin); the UMR 1253, iBrain, Université de Tours, INSERM, Tours, France (Desmidt, Barantin); the CIC 1415, CHU de Tours, INSERM, Tours, France (Desmidt); the CoBTeK (Cognition Behaviour Technology) Lab, University Côte d'Azur, Nice, France (David)
| | - Gabriel H Robert
- From the Centre Hospitalier Guillaume Régnier, Pôle Hospitalo-Universitaire de Psychiatrie Adulte, Rennes, France (Roy, Mirea-Grivel, Louise, Drapier, Batail, Robert); the Centre d'investigation clinique (CIC) de Rennes 1414, CHU de Rennes, Institut national de la santé et de la recherche médicale (INSERM), Rennes, France (Roy, Drapier, Batail, Robert); l'Université de Rennes, Inria Centre, Centre National de la Recherche Scientifique, IRISA, INSERM, Empenn U1228 ERL, Rennes, France (Roy, Dam, Bannier, Coloigner, Robert); the Service de Radiologie, CHU Rennes, Rennes, France (Bannier); the CHU de Tours, Tours, France (Desmidt, Barantin); the UMR 1253, iBrain, Université de Tours, INSERM, Tours, France (Desmidt, Barantin); the CIC 1415, CHU de Tours, INSERM, Tours, France (Desmidt); the CoBTeK (Cognition Behaviour Technology) Lab, University Côte d'Azur, Nice, France (David)
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Lew BJ, McCusker MC, O'Neill J, Bares SH, Wilson TW, Doucet GE. Resting state network connectivity alterations in HIV: Parallels with aging. Hum Brain Mapp 2023; 44:4679-4691. [PMID: 37417797 PMCID: PMC10400792 DOI: 10.1002/hbm.26409] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 05/10/2023] [Accepted: 06/12/2023] [Indexed: 07/08/2023] Open
Abstract
The increasing incidence of age-related comorbidities in people with HIV (PWH) has led to accelerated aging theories. Functional neuroimaging research, including functional connectivity (FC) using resting-state functional magnetic resonance imaging (rs-fMRI), has identified neural aberrations related to HIV infection. Yet little is known about the relationship between aging and resting-state FC in PWH. This study included 86 virally suppressed PWH and 99 demographically matched controls spanning 22-72 years old who underwent rs-fMRI. The independent and interactive effects of HIV and aging on FC were investigated both within- and between-network using a 7-network atlas. The relationship between HIV-related cognitive deficits and FC was also examined. We also conducted network-based statistical analyses using a brain anatomical atlas (n = 512 regions) to ensure similar results across independent approaches. We found independent effects of age and HIV in between-network FC. The age-related increases in FC were widespread, while PWH displayed further increases above and beyond aging, particularly between-network FC of the default-mode and executive control networks. The results were overall similar using the regional approach. Since both HIV infection and aging are associated with independent increases in between-network FC, HIV infection may be associated with a reorganization of the major brain networks and their functional interactions in a manner similar to aging.
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Affiliation(s)
- Brandon J. Lew
- Institute for Human NeuroscienceBoys Town National Research HospitalOmahaNebraskaUSA
- College of MedicineUniversity of Nebraska Medical Center (UNMC)OmahaNebraskaUSA
| | - Marie C. McCusker
- Institute for Human NeuroscienceBoys Town National Research HospitalOmahaNebraskaUSA
- Interdepartmental Neuroscience ProgramYale University School of MedicineNew HavenConnecticutUSA
| | - Jennifer O'Neill
- Department of Internal Medicine, Division of Infectious DiseasesUNMCOmahaNebraskaUSA
| | - Sara H. Bares
- Department of Internal Medicine, Division of Infectious DiseasesUNMCOmahaNebraskaUSA
| | - Tony W. Wilson
- Institute for Human NeuroscienceBoys Town National Research HospitalOmahaNebraskaUSA
- College of MedicineUniversity of Nebraska Medical Center (UNMC)OmahaNebraskaUSA
- Department of Pharmacology & NeuroscienceCreighton UniversityOmahaNebraskaUSA
| | - Gaelle E. Doucet
- Institute for Human NeuroscienceBoys Town National Research HospitalOmahaNebraskaUSA
- Department of Pharmacology & NeuroscienceCreighton UniversityOmahaNebraskaUSA
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Xia X, Zeng X, Gao F, Yuan Z. Mapping cross-species connectome atlas of human and macaque striatum. Cereb Cortex 2023; 33:7518-7530. [PMID: 36928317 PMCID: PMC10267647 DOI: 10.1093/cercor/bhad057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 03/18/2023] Open
Abstract
Cross-species connectome atlas (CCA) that can provide connectionally homogeneous and homologous brain nodes is essential and customized for cross-species neuroscience. However, existing CCAs were flawed in design and coarse-grained in results. In this study, a normative mapping framework of CCA was proposed and applied on human and macaque striatum. Specifically, all striatal voxels in the 2 species were mixed together and classified based on their represented and characterized feature of within-striatum resting-state functional connectivity, which was shared between the species. Six pairs of striatal parcels in these species were delineated in both hemispheres. Furthermore, this striatal parcellation was demonstrated by the best-matched whole-brain functional and structural connectivity between interspecies corresponding subregions. Besides, detailed interspecies differences in whole-brain multimodal connectivities and involved brain functions of these subregions were described to flesh out this CCA of striatum. In particular, this flexible and scalable mapping framework enables reliable construction of CCA of the whole brain, which would enable reliable findings in future cross-species research and advance our understandings into how the human brain works.
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Affiliation(s)
- Xiaoluan Xia
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau 999078, China
- Faculty of Health Sciences, University of Macau, Taipa, Macau 999078, China
| | - Xinglin Zeng
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau 999078, China
- Faculty of Health Sciences, University of Macau, Taipa, Macau 999078, China
| | - Fei Gao
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau 999078, China
| | - Zhen Yuan
- Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau 999078, China
- Faculty of Health Sciences, University of Macau, Taipa, Macau 999078, China
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Kruse JA, Martin CS, Hamlin N, Slattery E, Moriarty EM, Horne LK, Ozkalp-Poincloux B, Camarda A, White SF, Oleson J, Cassotti M, Doucet GE. Changes of creative ability and underlying brain network connectivity throughout the lifespan. Brain Cogn 2023; 168:105975. [PMID: 37031635 PMCID: PMC10175225 DOI: 10.1016/j.bandc.2023.105975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/30/2023] [Accepted: 03/31/2023] [Indexed: 04/11/2023]
Abstract
Creativity, or divergent thinking, is essential to and supported by cognitive functions necessary for everyday tasks. The current study investigates divergent thinking and its neural mechanisms from adolescence to late adulthood. To do this, 180 healthy participants completed a creativity task called the egg task including 86 adolescents (mean age (SD) = 13.62 (1.98)), 52 young adults (24.92 (3.60), and 42 older adults (62.84 (7.02)). Additionally, a subsample of 111 participants completed a resting-state fMRI scan. After investigating the impact of age on different divergent thinking metrics, we investigated the impact of age on the association between divergent thinking and resting-state functional connectivity within and between major resting-state brain networks associated with creative thinking: the DMN, ECN, and SN. Adolescents tended to be less creative than both young and older adults in divergent thinking scores related to expansion creativity, and not in persistent creativity, while young and older adults performed relatively similar. We found that adolescents' functional integrity of the executive control network (ECN) was positively associated with expansion creativity, which was significantly different from the negative association in both the young and older adults. These results suggest that creative performance and supporting brain networks change throughout the lifespan.
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Affiliation(s)
- Jordanna A Kruse
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
| | - Casey S Martin
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
| | - Noah Hamlin
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
| | - Emma Slattery
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
| | - Eibhlis M Moriarty
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
| | - Lucy K Horne
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA
| | | | - Anaelle Camarda
- Institut Supérieur Maria Montessori, France; Université Paris Cité and Université Gustave Eiffel, LaPEA, Boulogne-Billancourt, France
| | - Stuart F White
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA; Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE, USA
| | | | | | - Gaelle E Doucet
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE, USA; Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE, USA.
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8
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Sun J, Ma J, Gao L, Wang J, Zhang D, Chen L, Fang J, Feng T, Wu T. Disruption of locus coeruleus-related functional networks in Parkinson's disease. NPJ Parkinsons Dis 2023; 9:81. [PMID: 37253752 DOI: 10.1038/s41531-023-00532-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 05/22/2023] [Indexed: 06/01/2023] Open
Abstract
Locus coeruleus (LC) is severely affected in Parkinson's Disease (PD). However, alterations in LC-related resting-state networks (RSNs) in PD remain unclear. We used resting-state functional MRI to investigate the alterations in functional connectivity (FC) of LC-related RSNs and the associations between RSNs changes and clinical features in idiopathic rapid eye movement sleep behavior disorder (iRBD) and PD patients with (PDRBD+) and without RBD (PDRBD-). There was a similarly disrupted FC pattern of LC-related RSNs in iRBD and PDRBD+ patients, whereas LC-related RSNs were less damaged in PDRBD- patients than that in patients with iRBD and PDRBD+. The FC of LC-related RSNs correlated with cognition and duration in iRBD, depression in PDRBD-, and cognition and severity of RBD in patients with PDRBD+. Our findings demonstrate that LC-related RSNs are significantly disrupted in the prodromal stage of α-synucleinopathies and proposed body-first PD (PDRBD+), but are less affected in brain-first PD (PDRBD-).
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Affiliation(s)
- Junyan Sun
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jinghong Ma
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Linlin Gao
- Department of General Medicine, Tianjin Union Medical Center, Tianjin, China
| | - Junling Wang
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Dongling Zhang
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lili Chen
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jiliang Fang
- Department of Radiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Tao Feng
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Tao Wu
- Center for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
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9
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Yang X, Zhou X, Xin F, Becker B, Linden D, Hernaus D. Age-dependent changes in the dynamic functional organization of the brain at rest: a cross-cultural replication approach. Cereb Cortex 2023; 33:6394-6406. [PMID: 36642496 PMCID: PMC10183740 DOI: 10.1093/cercor/bhac512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 12/02/2022] [Accepted: 12/03/2022] [Indexed: 01/17/2023] Open
Abstract
Age-associated changes in brain function play an important role in the development of neurodegenerative diseases. Although previous work has examined age-related changes in static functional connectivity, accumulating evidence suggests that advancing age is especially associated with alterations in the dynamic interactions and transitions between different brain states, which hitherto have received less attention. Conclusions of previous studies in this domain are moreover limited by suboptimal replicability of resting-state functional magnetic resonance imaging (fMRI) and culturally homogenous cohorts. Here, we investigate the robustness of age-associated changes in dynamic functional connectivity (dFC) by capitalizing on the availability of fMRI cohorts from two cultures (Western European and Chinese). In both the LEMON (Western European) and SALD (Chinese) cohorts, we consistently identify two distinct states: a more frequent segregated within-network connectivity state (state I) and a less frequent integrated between-network connectivity state (state II). Moreover, in both these cohorts, older (55-80 years) compared to younger participants (20-35 years) exhibited lower occurrence of and spent less time in state I. Older participants also tended to exhibit more transitions between networks and greater variance in global efficiency. Overall, our cross-cultural replication of age-associated changes in dFC metrics implies that advancing age is robustly associated with a reorganization of dynamic brain activation that favors the use of less functionally specific networks.
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Affiliation(s)
- Xi Yang
- Department of Psychiatry & Neuropsychology, School for Mental Health and NeuroScience MHeNS, Maastricht University, Minderbroedersberg 4-6, 6211 LK Maastricht, The Netherlands
| | - Xinqi Zhou
- Institute of Brain and Psychological Sciences, Sichuan Normal University, 610066 Chengdu, Sichuan, China
| | - Fei Xin
- School of Psychology, Shenzhen University, 518060 Shenzhen, Guangdong, China
| | - Benjamin Becker
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Xiyuan Ave, West Hi-Tech Zone, 611731 Chengdu, Sichuan, China
| | - David Linden
- Department of Psychiatry & Neuropsychology, School for Mental Health and NeuroScience MHeNS, Maastricht University, Minderbroedersberg 4-6, 6211 LK Maastricht, The Netherlands
| | - Dennis Hernaus
- Department of Psychiatry & Neuropsychology, School for Mental Health and NeuroScience MHeNS, Maastricht University, Minderbroedersberg 4-6, 6211 LK Maastricht, The Netherlands
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10
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Petrella JR, Michael AM, Qian M, Nwosu A, Sneed J, Goldberg TE, Devanand DP, Doraiswamy PM. Impact of Computerized Cognitive Training on Default Mode Network Connectivity in Subjects at Risk for Alzheimer's Disease: A 78-week Randomized Controlled Trial. J Alzheimers Dis 2023; 91:483-494. [PMID: 36442202 PMCID: PMC9881022 DOI: 10.3233/jad-220946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/22/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Mild cognitive impairment (MCI) represents a high risk group for Alzheimer's disease (AD). Computerized Cognitive Games Training (CCT) is an investigational strategy to improve targeted functions in MCI through the modulation of cognitive networks. OBJECTIVE The goal of this study was to examine the effect of CCT versus a non-targeted active brain exercise on functional cognitive networks. METHODS 107 patients with MCI were randomized to CCT or web-based crossword puzzles. Resting-state functional MRI (fMRI) was obtained at baseline and 18 months to evaluate differences in fMRI measured within- and between-network functional connectivity (FC) of the default mode network (DMN) and other large-scale brain networks: the executive control, salience, and sensorimotor networks. RESULTS There were no differences between crosswords and games in the primary outcome, within-network DMN FC across all subjects. However, secondary analyses suggest differential effects on between-network connectivity involving the DMN and SLN, and within-network connectivity of the DMN in subjects with late MCI. Paradoxically, in both cases, there was a decrease in FC for games and an increase for the crosswords control (p < 0.05), accompanied by lesser cognitive decline in the crosswords group. CONCLUSION Results do not support a differential impact on within-network DMN FC between games and crossword puzzle interventions. However, crossword puzzles might result in cognitively beneficial remodeling between the DMN and other networks in more severely impaired MCI subjects, parallel to the observed clinical benefits.
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Affiliation(s)
- Jeffrey R. Petrella
- Department of Radiology, Duke University School of Medicine, Durham, NC, USA
| | - Andrew M. Michael
- Duke Institute for Brain Sciences and the Duke Center for the Study of Aging and Human Development, Durham, NC, USA
| | - Min Qian
- Department of Biostatistics, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA
| | - Adaora Nwosu
- Neurocognitive Disorders Program, Department of Psychiatry, Duke University School of Medicine, Durham, NC, USA
| | - Joel Sneed
- Department of Psychology, Queens College, City University of New York, Flushing, NY, USA
- Department of Psychology The Graduate Center, City University of New York, New York, NY, USA
| | - Terry E. Goldberg
- Department of Psychiatry, Columbia University Medical Center, and the New York Psychiatry Institute, New York, NY, USA
| | - Davangere P. Devanand
- Department of Psychiatry, Columbia University Medical Center, and the New York Psychiatry Institute, New York, NY, USA
| | - P. Murali Doraiswamy
- Duke Institute for Brain Sciences and the Duke Center for the Study of Aging and Human Development, Durham, NC, USA
- Neurocognitive Disorders Program, Department of Psychiatry, Duke University School of Medicine, Durham, NC, USA
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11
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Liu T, Shi Z, Zhang J, Wang K, Li Y, Pei G, Wang L, Wu J, Yan T. Individual functional parcellation revealed compensation of dynamic limbic network organization in healthy ageing. Hum Brain Mapp 2022; 44:744-761. [PMID: 36214186 PMCID: PMC9842897 DOI: 10.1002/hbm.26096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/01/2022] [Accepted: 09/19/2022] [Indexed: 01/25/2023] Open
Abstract
Using group-level functional parcellations and constant-length sliding window analysis, dynamic functional connectivity studies have revealed network-specific impairment and compensation in healthy ageing. However, functional parcellation and dynamic time windows vary across individuals; individual-level ageing-related brain dynamics are uncertain. Here, we performed individual parcellation and individual-length sliding window clustering to characterize ageing-related dynamic network changes. Healthy participants (n = 637, 18-88 years) from the Cambridge Centre for Ageing and Neuroscience dataset were included. An individual seven-network parcellation, varied from group-level parcellation, was mapped for each participant. For each network, strong and weak cognitive brain states were revealed by individual-length sliding window clustering and canonical correlation analysis. The results showed negative linear correlations between age and change ratios of sizes in the default mode, frontoparietal, and salience networks and a positive linear correlation between age and change ratios of size in the limbic network (LN). With increasing age, the occurrence and dwell time of strong states showed inverted U-shaped patterns or a linear decreasing pattern in most networks but showed a linear increasing pattern in the LN. Overall, this study reveals a compensative increase in emotional networks (i.e., the LN) and a decline in cognitive and primary sensory networks in healthy ageing. These findings may provide insights into network-specific and individual-level targeting during neuromodulation in ageing and ageing-related diseases.
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Affiliation(s)
- Tiantian Liu
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
| | - Zhongyan Shi
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
| | - Jian Zhang
- Intelligent Robotics Institute, School of Mechatronical EngineeringBeijing Institute of TechnologyBeijingChina
| | - Kexin Wang
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
| | - Yuanhao Li
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
| | - Guangying Pei
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
| | - Li Wang
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
| | - Jinglong Wu
- School of Medical TechnologyBeijing Institute of TechnologyBeijingChina
| | - Tianyi Yan
- School of Life ScienceBeijing Institute of TechnologyBeijingChina
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12
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Malotaux V, Dricot L, Quenon L, Lhommel R, Ivanoiu A, Hanseeuw B. Default-mode network connectivity changes during the progression towards Alzheimer’s dementia: A longitudinal functional MRI study. Brain Connect 2022. [DOI: 10.1089/brain.2022.0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Vincent Malotaux
- Université catholique de Louvain, Institute of Neuroscience, Avenue Emmanuel Mounier, 54, Brussels, Belgium, 1200
| | - Laurence Dricot
- Université catholique de Louvain, Institute of Neuroscience, Brussels, Belgium
| | - Lisa Quenon
- Université catholique de Louvain, Institute of Neuroscience, Brussels, Belgium
- University Hospital Saint-Luc, Neurology Department, Brussels, Belgium
| | - Renaud Lhommel
- University Hospital Saint-Luc, Nuclear Medicine Department, Brussels, Belgium
- Université catholique de Louvain, Institute of Neuroscience, Brussels, Belgium
| | - Adrian Ivanoiu
- Université catholique de Louvain, Institute of Neuroscience, Brussels, Belgium
- University Hospital Saint-Luc, Neurology Department, Brussels, Belgium
| | - Bernard Hanseeuw
- Université catholique de Louvain, Institute of Neuroscience, Brussels, Belgium
- University Hospital Saint-Luc, Neurology Department, Brussels, Belgium
- Harvard Medical School, Massachusetts General Hospital, Radiology Department, Boston, Massachusetts, United States
- Walloon Excellence in Lifesciences and Biotechnology, Wavre, Belgium
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13
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Revell AY, Silva AB, Arnold TC, Stein JM, Das SR, Shinohara RT, Bassett DS, Litt B, Davis KA. A framework For brain atlases: Lessons from seizure dynamics. Neuroimage 2022; 254:118986. [PMID: 35339683 PMCID: PMC9342687 DOI: 10.1016/j.neuroimage.2022.118986] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 01/13/2022] [Accepted: 02/07/2022] [Indexed: 01/03/2023] Open
Abstract
Brain maps, or atlases, are essential tools for studying brain function and organization. The abundance of available atlases used across the neuroscience literature, however, creates an implicit challenge that may alter the hypotheses and predictions we make about neurological function and pathophysiology. Here, we demonstrate how parcellation scale, shape, anatomical coverage, and other atlas features may impact our prediction of the brain’s function from its underlying structure. We show how network topology, structure–function correlation (SFC), and the power to test specific hypotheses about epilepsy pathophysiology may change as a result of atlas choice and atlas features. Through the lens of our disease system, we propose a general framework and algorithm for atlas selection. This framework aims to maximize the descriptive, explanatory, and predictive validity of an atlas. Broadly, our framework strives to provide empirical guidance to neuroscience research utilizing the various atlases published over the last century.
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Affiliation(s)
- Andrew Y Revell
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Alexander B Silva
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Medical Scientist Training Program, University of California, San Francisco, CA 94143, USA
| | - T Campbell Arnold
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Joel M Stein
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sandhitsu R Das
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Russell T Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Statistics in Imaging and Visualization Endeavor, Perelman school of Medicine, University of Pennsylvania, PA 19104, USA
| | - Dani S Bassett
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, PA 19104, USA; Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Physics and Astronomy, College of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Santa Fe Institute, Santa Fe, NM 87501, USA
| | - Brian Litt
- Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kathryn A Davis
- Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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14
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Doucet GE, Hamlin N, West A, Kruse JA, Moser DA, Wilson TW. Multivariate patterns of brain-behavior associations across the adult lifespan. Aging (Albany NY) 2022; 14:161-194. [PMID: 35013005 PMCID: PMC8791210 DOI: 10.18632/aging.203815] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 12/20/2021] [Indexed: 11/25/2022]
Abstract
The nature of brain-behavior covariations with increasing age is poorly understood. In the current study, we used a multivariate approach to investigate the covariation between behavioral-health variables and brain features across adulthood. We recruited healthy adults aged 20–73 years-old (29 younger, mean age = 25.6 years; 30 older, mean age = 62.5 years), and collected structural and functional MRI (s/fMRI) during a resting-state and three tasks. From the sMRI, we extracted cortical thickness and subcortical volumes; from the fMRI, we extracted activation peaks and functional network connectivity (FNC) for each task. We conducted canonical correlation analyses between behavioral-health variables and the sMRI, or the fMRI variables, across all participants. We found significant covariations for both types of neuroimaging phenotypes (ps = 0.0004) across all individuals, with cognitive capacity and age being the largest opposite contributors. We further identified different variables contributing to the models across phenotypes and age groups. Particularly, we found behavior was associated with different neuroimaging patterns between the younger and older groups. Higher cognitive capacity was supported by activation and FNC within the executive networks in the younger adults, while it was supported by the visual networks’ FNC in the older adults. This study highlights how the brain-behavior covariations vary across adulthood and provides further support that cognitive performance relies on regional recruitment that differs between older and younger individuals.
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Affiliation(s)
- Gaelle E Doucet
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA.,Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE 68178, USA
| | - Noah Hamlin
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
| | - Anna West
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
| | - Jordanna A Kruse
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
| | - Dominik A Moser
- Institute of Psychology, University of Bern, Bern, Switzerland.,Child and Adolescent Psychiatry, University Hospital Lausanne, Lausanne, Switzerland
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA.,Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE 68178, USA
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15
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Mind the gaps: functional networks disrupted by white matter hyperintensities are associated with greater falls risk. Neurobiol Aging 2021; 109:166-175. [PMID: 34740078 DOI: 10.1016/j.neurobiolaging.2021.09.023] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/27/2021] [Accepted: 09/30/2021] [Indexed: 12/12/2022]
Abstract
White matter hyperintensities (WMH) are associated with greater falls risk and slow gait speed. Whether these deficits are caused by the disruption of large-scale functional networks remains inconclusive. Further, physical activity moderates the association between WMHs and falls, but whether this extends to the disruption of functional networks remains unknown. One hundred and sixty-four adults (>55 years old) were included in this study. Using lesion network mapping, we identified significant correlations between the percentage of WMH-related disruption of the dorsal attention network and Physiological Profile Assessment (PPA) score (r = 0.24, p < 0.01); and between disruption of both the sensorimotor (r = 0.23, p < 0.01) and ventral attention networks (r = 0.21, p = 0.01) with foam sway. There were no significant associations with floor sway or gait speed. Physical activity moderated the association between the dorsal attention network and PPA score (p = 0.045). Thus, future research should investigate whether physical activity should be recommended in the clinical management of older adults with cerebral small vessel disease.
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16
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West A, Hamlin N, Frangou S, Wilson TW, Doucet GE. Person-Based Similarity Index for Cognition and Its Neural Correlates in Late Adulthood: Implications for Cognitive Reserve. Cereb Cortex 2021; 32:397-407. [PMID: 34255824 DOI: 10.1093/cercor/bhab215] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 06/10/2021] [Accepted: 06/10/2021] [Indexed: 11/13/2022] Open
Abstract
Healthy aging is typically associated with some level of cognitive decline, but there is substantial variation in such decline among older adults. The mechanisms behind such heterogeneity remain unclear but some have suggested a role for cognitive reserve. In this work, we propose the "person-based similarity index" for cognition (PBSI-Cog) as a proxy for cognitive reserve in older adults, and use the metric to quantify similarity between the cognitive profiles of healthy older and younger participants. In the current study, we computed this metric in 237 healthy older adults (55-88 years) using a reference group of 156 younger adults (18-39 years) taken from the Cambridge Center for Ageing and Neuroscience dataset. Our key findings revealed that PBSI-Cog scores in older adults were: 1) negatively associated with age (rho = -0.25, P = 10-4) and positively associated with higher education (t = 2.4, P = 0.02), 2) largely explained by fluid intelligence and executive function, and 3) predicted more by functional connectivity between lower- and higher-order resting-state networks than brain structural morphometry or education. Particularly, we found that higher segregation between the sensorimotor and executive networks predicted higher PBSI-Cog scores. Our results support the notion that brain network functional organization may underly variability in cognitive reserve in late adulthood.
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Affiliation(s)
- Anna West
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
| | - Noah Hamlin
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
| | - Sophia Frangou
- Department of Psychiatry, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC V6T 1Z3, Canada.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
| | - Gaelle E Doucet
- Institute for Human Neuroscience, Boys Town National Research Hospital, Omaha, NE 68010, USA
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17
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De Asis-Cruz J, Andersen N, Kapse K, Khrisnamurthy D, Quistorff J, Lopez C, Vezina G, Limperopoulos C. Global Network Organization of the Fetal Functional Connectome. Cereb Cortex 2021; 31:3034-3046. [PMID: 33558873 DOI: 10.1093/cercor/bhaa410] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 12/11/2020] [Accepted: 12/11/2020] [Indexed: 12/21/2022] Open
Abstract
Recent advances in brain imaging have enabled non-invasive in vivo assessment of the fetal brain. Characterizing brain development in healthy fetuses provides baseline measures for identifying deviations in brain function in high-risk clinical groups. We examined 110 resting state MRI data sets from fetuses at 19 to 40 weeks' gestation. Using graph-theoretic techniques, we characterized global organizational features of the fetal functional connectome and their prenatal trajectories. Topological features related to network integration (i.e., global efficiency) and segregation (i.e., clustering) were assessed. Fetal networks exhibited small-world topology, showing high clustering and short average path length relative to reference networks. Likewise, fetal networks' quantitative small world indices met criteria for small-worldness (σ > 1, ω = [-0.5 0.5]). Along with this, fetal networks demonstrated global and local efficiency, economy, and modularity. A right-tailed degree distribution, suggesting the presence of central areas that are more highly connected to other regions, was also observed. Metrics, however, were not static during gestation; measures associated with segregation-local efficiency and modularity-decreased with advancing gestational age. Altogether, these suggest that the neural circuitry underpinning the brain's ability to segregate and integrate information exists as early as the late 2nd trimester of pregnancy and reorganizes during the prenatal period. Significance statement. Mounting evidence for the fetal origins of some neurodevelopmental disorders underscores the importance of identifying features of healthy fetal brain functional development. Alterations in prenatal brain connectomics may serve as early markers for identifying fetal-onset neurodevelopmental disorders, which in turn provide improved surveillance of at-risk fetuses and support the initiation of early interventions.
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Affiliation(s)
- Josepheen De Asis-Cruz
- Developing Brain Institute, Children's National, 111 Michigan Ave NW, Washington DC 20010
| | - Nicole Andersen
- Developing Brain Institute, Children's National, 111 Michigan Ave NW, Washington DC 20010
| | - Kushal Kapse
- Developing Brain Institute, Children's National, 111 Michigan Ave NW, Washington DC 20010
| | | | - Jessica Quistorff
- Developing Brain Institute, Children's National, 111 Michigan Ave NW, Washington DC 20010
| | - Catherine Lopez
- Developing Brain Institute, Children's National, 111 Michigan Ave NW, Washington DC 20010
| | - Gilbert Vezina
- Division of Diagnostic Imaging and Radiology, 111 Michigan Ave NW, Washington DC 20010
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