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Marti E, Coll SY, Doganci N, Ptak R. Cortical and subcortical substrates of working memory in the right hemisphere: A connectome-based lesion-symptom mapping study. Neuropsychologia 2024; 204:108998. [PMID: 39251106 DOI: 10.1016/j.neuropsychologia.2024.108998] [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: 05/07/2024] [Revised: 07/19/2024] [Accepted: 09/06/2024] [Indexed: 09/11/2024]
Abstract
Working Memory (WM) is a cognitive system whose crucial role is to temporarily hold and manipulate information. Early studies suggest that verbal WM is typically associated with left hemisphere (LH) brain regions, while the processing of visuospatial information in WM more specifically depends on the right hemisphere (RH). However, recent evidence suggests a more complex network involving both hemispheres' prefrontal and posterior parietal cortices in these processes. Unfortunately, previous lesion studies often examined only one modality (either verbal, or visuospatial) or one hemisphere, which limits the possible conclusions regarding non-lateralized hemispheric involvement. Using connectome-based lesion-symptom mapping on a large sample of patients with left (LBD) and right (RBD) focal brain damage, we examined whether gray matter damage and white matter disconnections predict deficits of WM updating in an N-back task. Patients were examined with two WM tasks that differed regarding modality (verbal, spatial) and cognitive load (1-back, 2-back). Behavioral outcomes indicated that RBD patients showed significant deficits in WM updating, regardless of task modality or load. This observation was supported by whole-brain voxel-based analysis, revealing associations between WM deficits and gray matter clusters in the RH. Specifically, damage to the right lateral frontal cortex including the brain region homologous to Broca's area was associated with verbal WM deficits, while damage to the right inferior parietal lobe and posterior temporal cortex predicted spatial WM deficits. Additionally, white matter analyses identified severely impacted tracts in the RH, predicting deficits in both verbal and spatial WM. Our findings suggest that the mental manipulation of both verbal and visuospatial information in WM updating relies on the integrity of the RH, irrespective of the specific type of information held in mind.
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Affiliation(s)
- Emilie Marti
- Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
| | - Sélim Yahia Coll
- Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Naz Doganci
- Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Radek Ptak
- Laboratory of Cognitive Neurorehabilitation, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Neurorehabilitation, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland.
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2
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Cao W, Niu J, Liang Y, Cui D, Jiao Q, Ouyang Z, Yu G, Dong L, Luo C. Disturbances of thalamus and prefrontal cortex contribute to cognitive aging: A structure-function coupling analysis based on KL divergence. Neuroscience 2024:S0306-4522(24)00450-0. [PMID: 39236803 DOI: 10.1016/j.neuroscience.2024.09.004] [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: 01/12/2024] [Revised: 07/24/2024] [Accepted: 09/01/2024] [Indexed: 09/07/2024]
Abstract
Normal aging is accompanied by changes in brain structure and function associated with cognitive decline. Structural and functional abnormalities, particularly the prefrontal cortex (PFC) and subcortical regions, contributed to cognitive aging. However, it remains unclear how the synchronized changes in structure and function of individual brain regions affect the cognition in aging. Using 3D T1-weighted structural data and movie watching functional magnetic resonance imaging data in a sample of 422 healthy individuals (ages from 18 to 87 years), we constructed regional structure-function coupling (SFC) of cortical and subcortical regions by quantifying the distribution similarity of gray matter volume (GMV) and amplitude of low-frequency fluctuation (ALFF). Further, we investigated age-related changes in SFC and its relationship with cognition. With aging, increased SFC localized in PFC, thalamus and caudate nucleus, decreased SFC in temporal cortex, lateral occipital cortex and putamen. Moreover, the SFC in the PFC was associated with executive function and thalamus was associated with the fluid intelligence, and partially mediated age-related cognitive decline. Collectively, our results highlight that tighter structure-function synchron of the PFC and thalamus might contribute to age-related cognitive decline, and provide insight into the substrate of the thalamo-prefrontal pathway with cognitive aging.
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Affiliation(s)
- Weifang Cao
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; Institute of Electronic and Information Engineering of Guangdong, University of Electronic Science and Technology of China, Dongguan 523000, China; Department of Radiology, Taian Municipal Hospital, Tai'an 271021, China
| | - Jinpeng Niu
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; Department of Radiology, Taian Municipal Hospital, Tai'an 271021, China
| | - Yong Liang
- Institute of Electronic and Information Engineering of Guangdong, University of Electronic Science and Technology of China, Dongguan 523000, China
| | - Dong Cui
- Department of Radiology, Taian Municipal Hospital, Tai'an 271021, China
| | - Qing Jiao
- Department of Radiology, Taian Municipal Hospital, Tai'an 271021, China
| | - Zhen Ouyang
- Department of Radiology, Taian Municipal Hospital, Tai'an 271021, China
| | - Guanghui Yu
- Department of Radiology, Taian Municipal Hospital, Tai'an 271021, China
| | - Li Dong
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Cheng Luo
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China.
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Parimoo S, Grady C, Olsen R. Age-related Differences in Response Inhibition Are Mediated by Frontoparietal White Matter but Not Functional Activity. J Cogn Neurosci 2024; 36:1184-1205. [PMID: 38579242 DOI: 10.1162/jocn_a_02159] [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] [Indexed: 04/07/2024]
Abstract
Healthy older adults often exhibit lower performance but increased functional recruitment of the frontoparietal control network during cognitive control tasks. According to the cortical disconnection hypothesis, age-related changes in the microstructural integrity of white matter may disrupt inter-regional neuronal communication, which in turn can impair behavioral performance. Here, we use fMRI and diffusion-weighted imaging to determine whether age-related differences in white matter microstructure contribute to frontoparietal over-recruitment and behavioral performance during a response inhibition (go/no-go) task in an adult life span sample (n = 145). Older and female participants were slower (go RTs) than younger and male participants, respectively. However, participants across all ages were equally accurate on the no-go trials, suggesting some participants may slow down on go trials to achieve high accuracy on no-go trials. Across the life span, functional recruitment of the frontoparietal network within the left and right hemispheres did not vary as a function of age, nor was it related to white matter fractional anisotropy (FA). In fact, only frontal FA and go RTs jointly mediated the association between age and no-go accuracy. Our results therefore suggest that frontal white matter cortical "disconnection" is an underlying driver of age-related differences in cognitive control, and white matter FA may not fully explain functional task-related activation in the frontoparietal network during the go/no-go task. Our findings add to the literature by demonstrating that white matter may be more important for certain cognitive processes in aging than task-related functional activation.
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Affiliation(s)
- Shireen Parimoo
- University of Toronto
- Rotman Research Institute, Baycrest, Toronto, Canada
| | - Cheryl Grady
- University of Toronto
- Rotman Research Institute, Baycrest, Toronto, Canada
| | - Rosanna Olsen
- University of Toronto
- Rotman Research Institute, Baycrest, Toronto, Canada
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Scarciglia A, Catrambone V, Bianco M, Bonanno C, Toschi N, Valenza G. Stochastic brain dynamics exhibits differential regional distribution and maturation-related changes. Neuroimage 2024; 290:120562. [PMID: 38484917 DOI: 10.1016/j.neuroimage.2024.120562] [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: 11/16/2023] [Revised: 02/29/2024] [Accepted: 03/01/2024] [Indexed: 03/18/2024] Open
Abstract
Functional magnetic resonance imaging (fMRI) is a powerful non-invasive method for studying brain function by analyzing blood oxygenation level-dependent (BOLD) signals. These signals arise from intricate interplays of deterministic and stochastic biological elements. Quantifying the stochastic part is challenging due to its reliance on assumptions about the deterministic segment. We present a methodological framework to estimate intrinsic stochastic brain dynamics in fMRI data without assuming deterministic dynamics. Our approach utilizes Approximate Entropy and its behavior in noisy series to identify and characterize dynamical noise in unobservable fMRI dynamics. Applied to extensive fMRI datasets (645 Cam-CAN, 1086 Human Connectome Project subjects), we explore lifelong maturation of intrinsic brain noise. Findings indicate 10% to 60% of fMRI signal power is due to intrinsic stochastic brain elements, varying by age. These components demonstrate a physiological role of neural noise which shows a distinct distributions across brain regions and increase linearly during maturation.
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Affiliation(s)
- Andrea Scarciglia
- Department of Information Engineering, School of Engineering, University of Pisa, Italy; Bioengineering and Robotics Research Center E.Piaggio, School of Engineering, University of Pisa, Italy.
| | - Vincenzo Catrambone
- Department of Information Engineering, School of Engineering, University of Pisa, Italy; Bioengineering and Robotics Research Center E.Piaggio, School of Engineering, University of Pisa, Italy
| | - Martina Bianco
- Department of Information Engineering, School of Engineering, University of Pisa, Italy; Department of Mathematics, University of Pisa, Italy
| | | | - Nicola Toschi
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy; A.A. Martinos Center for Biomedical Imaging, MGH and Harvard Medical School, Boston, MA, USA
| | - Gaetano Valenza
- Department of Information Engineering, School of Engineering, University of Pisa, Italy; Bioengineering and Robotics Research Center E.Piaggio, School of Engineering, University of Pisa, Italy
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Badji A, Cedres N, Muehlboeck JS, Khan W, Dhollander T, Barroso J, Ferreira D, Westman E. In vivo microstructural heterogeneity of white matter and cognitive correlates in aging using tissue compositional analysis of diffusion magnetic resonance imaging. Hum Brain Mapp 2024; 45:e26618. [PMID: 38414286 PMCID: PMC10899800 DOI: 10.1002/hbm.26618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 12/03/2023] [Accepted: 12/24/2023] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Age-related cognitive decline is linked to changes in the brain, particularly the deterioration of white matter (WM) microstructure that accelerates after the age of 60. WM deterioration is associated with mild cognitive impairment and dementia, but the origin and role of white matter signal abnormalities (WMSA) seen in standard MRI remain debated due to their heterogeneity. This study explores the potential of single-shell 3-tissue constrained spherical deconvolution (SS3T-CSD), a novel technique that models diffusion data in terms of gray matter (TG ), white matter (Tw ), and cerebrospinal fluid (TC ), to differentiate WMSA from normal-appearing white matter and better understand the interplay between changes in WM microstructure and decline in cognition. METHODS A total of 189 individuals from the GENIC cohort were included. MRI data, including T1-weighted and diffusion images, were obtained. Preprocessing steps were performed on the diffusion MRI data, followed by the SS3T-CSD. WMSA were segmented using FreeSurfer. Statistical analyses were conducted to assess the association between age, WMSA volume, 3-tissue signal fractions (Tw , TG , and TC ), and neuropsychological variables. RESULTS Participants above 60 years old showed worse cognitive performance and processing speed compared to those below 60 (p < .001). Age was negatively associated with Tw in normal-appearing white matter (p < .001) and positively associated with TG in both WMSA (p < .01) and normal-appearing white matter (p < .001). Age was also significantly associated with WMSA volume (p < .001). Higher processing speed was associated with lower Tw and higher TG , in normal-appearing white matter (p < .01 and p < .001, respectively), as well as increased WMSA volume (p < .001). Similarly, lower MMSE scores correlated with lower Tw and higher TG in normal-appearing white matter (p < .05). High cholesterol and hypertension were associated with higher WMSA volume (p < .05). CONCLUSION The microstructural heterogeneity within normal-appearing white matter and WMSA is associated with increasing age and cognitive variation, in cognitively unimpaired individuals. Furthermore, the 3-tissue signal fractions are more specific to potential white matter alterations than conventional MRI measures such as WMSA volume. These findings also support the view that the WMSA volumes may be more influenced by vascular risk factors than the 3-tissue metrics. Finally, the 3-tissue metrics were able to capture associations with cognitive tests and therefore capable of capturing subtle pathological changes in the brain in individuals who are still within the normal range of cognitive performance.
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Affiliation(s)
- Atef Badji
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Nira Cedres
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias, Las Palmas de Gran Canaria, España
| | - J-Sebastian Muehlboeck
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Wasim Khan
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Thijs Dhollander
- Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Jose Barroso
- Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias, Las Palmas de Gran Canaria, España
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias, Las Palmas de Gran Canaria, España
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
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Li X, Ng KK, Wong JJY, Zhou JH, Yow WQ. Brain gray matter morphometry relates to onset age of bilingualism and theory of mind in young and older adults. Sci Rep 2024; 14:3193. [PMID: 38326334 PMCID: PMC10850089 DOI: 10.1038/s41598-023-48710-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 11/29/2023] [Indexed: 02/09/2024] Open
Abstract
Lifelong bilingualism may result in neural reserve against decline not only in the general cognitive domain, but also in social cognitive functioning. In this study, we show the brain structural correlates that are associated with second language age of acquisition (L2AoA) and theory of mind (the ability to reason about mental states) in normal aging. Participants were bilingual adults (46 young, 50 older) who completed a theory-of-mind task battery, a language background questionnaire, and an anatomical MRI scan to obtain cortical morphometric features (i.e., gray matter volume, thickness, and surface area). Findings indicated a theory-of-mind decline in older adults compared to young adults, controlling for education and general cognition. Importantly, earlier L2AoA and better theory-of-mind performance were associated with larger volume, higher thickness, and larger surface area in the bilateral temporal, medial temporal, superior parietal, and prefrontal brain regions. These regions are likely to be involved in mental representations, language, and cognitive control. The morphometric association with L2AoA in young and older adults were comparable, but its association with theory of mind was stronger in older adults than young adults. The results demonstrate that early bilingual acquisition may provide protective benefits to intact theory-of-mind abilities against normal age-related declines.
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Affiliation(s)
- Xiaoqian Li
- Humanities, Arts and Social Sciences, Singapore University of Technology and Design, Singapore, Singapore
| | - Kwun Kei Ng
- Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Joey Ju Yu Wong
- Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Juan Helen Zhou
- Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore.
| | - W Quin Yow
- Humanities, Arts and Social Sciences, Singapore University of Technology and Design, Singapore, Singapore.
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McIntosh RC, Hoshi RA, Nomi J, Goodman Z, Kornfeld S, Vidot DC. I know why the caged bird sings: Distress tolerant individuals show greater resting state connectivity between ventromedial prefrontal cortex and right amygdala as a function of higher vagal tone. Int J Psychophysiol 2024; 196:112274. [PMID: 38049075 DOI: 10.1016/j.ijpsycho.2023.112274] [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: 07/04/2023] [Revised: 11/09/2023] [Accepted: 11/25/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Intolerance to psychological distress is associated with various forms of psychopathology, ranging from addiction to mood disturbance. The capacity to withstand aversive affective states is often explained by individual differences in cardiovagal tone as well as resting state connectivity of the ventromedial prefrontal cortex (vmPFC), a region involved in the regulation of emotions and cardio-autonomic tone. However, it is unclear which brain regions involved in distress tolerance show greater resting state functional connectivity (rsFC) as a function of resting heart rate variability (HRV). METHODS One-hundred and twenty-six adults, aged 20 to 83.5 years, were selected from a lifespan cohort at the Nathan Kline Institute-Rockland Sample. Participants' distress tolerance levels were assessed based upon performance on the Behavioral Indicator of Resiliency to Distress (BIRD) task. Artifact-free resting-state functional brain scans collected during separate sessions were used. While inside the scanner, a pulse oximeter was used to record beat-to-beat intervals to derive high-frequency heart rate variability (HF-HRV). The relationship between HF-HRV and vmPFC to whole brain functional connectivity was compared between distress tolerant (BIRD completers) and distress intolerant (BIRD non-completers). RESULTS Groups did not differ in their history of psychiatric diagnosis. Higher resting HF-HRV was associated with longer total time spent on the BIRD task for the entire sample (r = 0.255, p = 0.004). After controlling for age, gender, body mass index, head motion, and gray matter volume. Distress tolerant individuals showed greater rsFC (p < 0.005 (uncorrected), k = 20) between the vmPFC and default-mode network (DMN) hubs including posterior cingulate cortex/precuneus, medial temporal lobes, and the parahippocampal cortex. As a function of higher resting HF-HRV greater vmPFC connectivity was observed with sub-threshold regions in the right amygdala and left anterior prefrontal cortex, with the former passing small volume correction, in distress tolerant versus distress intolerant individuals. CONCLUSION In a lifespan sample of community-dwelling adults, distress tolerant individuals showed greater vmPFC connectivity with anterior and posterior hubs of the DMN compared to distress intolerant individuals. As a function of greater HF-HRV, distress tolerant individuals evidenced greater vmPFC with salience and executive control network hubs. These findings are consistent with deficits in neural resource allocation within a triple network resting amongst persons exhibiting behavioral intolerance to psychological distress.
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Affiliation(s)
- R C McIntosh
- Department of Psychology, University of Miami, 1120 NW 14th Street, Miami 33136, FL, United States.
| | - R A Hoshi
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, United States
| | - J Nomi
- UCLA Semel Institute for Neuroscience & Human Behavior, 760 Westwood, CA 90095, United States
| | - Z Goodman
- Department of Psychology, University of Miami, 1120 NW 14th Street, Miami 33136, FL, United States
| | - S Kornfeld
- REHAB Basel - Klinik für Neurorehabilitation und Paraplegiologie, Basel, Switzerland
| | - D C Vidot
- School of Nursing and Health Studies, University of Miami, 5030 Brunson Ave, Coral Gables 33146, FL, United States
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Burke SL, Grudzien A, Li T, Abril M, Yin W, Tyrell TA, Barnes CP, Hanson K, DeKosky ST. Examining the relationship between anxiety and regional brain volumes in the National Alzheimer's Coordinating Center uniform, imaging, and biomarker datasets. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2024; 6:100201. [PMID: 38312309 PMCID: PMC10837066 DOI: 10.1016/j.cccb.2024.100201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 12/15/2023] [Accepted: 01/10/2024] [Indexed: 02/06/2024]
Abstract
Anxiety has been associated with a greater risk of Alzheimer's disease (AD). Existing research has identified structural differences in regional brain tissue in participants with anxiety, but results have been inconsistent. We sought to determine the association between anxiety and regional brain volumes, and the moderation effect of APOE ε4. Using data from participants in the National Alzheimer's Coordinating Center (NACC) Uniform Data Set, with complete imaging (MRI) and biomarker data (n = 1533), multiple linear regression estimated the adjusted effect of anxiety on 30 structural MRI regions. The moderation effect of APOE ε4 on the relation between structural MRI regions and anxiety was assessed as was the moderation effect of cognitive status. False discovery rate was used to adjust for multiple comparisons. After controlling for intracranial volume, age, sex, years of education, race, Hispanic ethnicity, and cognitive status, seven MRI regions demonstrated lower volumes among participants with anxiety: total cerebrum gray matter volume, right hippocampus volume, hippocampal volume (total), right and left frontal lobe cortical gray matter volume, and right and total temporal lobe cortical gray matter volume. Findings suggest that anxiety is associated with significant atrophy in multiple brain regions, with corresponding ventricular enlargement. Future research should investigate if anxiety-related changes to brain morphology contribute to greater AD risk.
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Affiliation(s)
- Shanna L. Burke
- School of Social Work, Florida International University, Robert Stempel College of Public Health and Social Work, 11200 SW 8th St. AHC5 585, Miami 33199, FL, USA
- Community-Based Research Institute, Florida International University, Robert Stempel College of Public Health and Social Work, 11200 SW 8th St., Miami 33199, FL, USA
| | - Adrienne Grudzien
- Community-Based Research Institute, Florida International University, Robert Stempel College of Public Health and Social Work, 11200 SW 8th St., Miami 33199, FL, USA
| | - Tan Li
- Department of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 S.W. 8th Street, Miami 33199, FL, USA
| | - Marlou Abril
- Department of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 S.W. 8th Street, Miami 33199, FL, USA
| | - Wupeng Yin
- Department of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 S.W. 8th Street, Miami 33199, FL, USA
| | - Tahirah A. Tyrell
- Charles E. Schmidt College of Medicine, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, USA
| | - Christopher P. Barnes
- Clinical and Translational Science Institute, College of Medicine, University of Florida, PO Box 100212, 2405 SW Archer Road, Gainesville 32608, FL, USA
| | - Kevin Hanson
- Information Services, Division of Research Operations & Services, College of Medicine, University of Florida, PO Box 100212, 2405 SW Archer Road, Gainesville 32608, FL, USA
| | - Steven T. DeKosky
- McKnight Brain Institute, 1Florida Alzheimer's Disease Center, University of Florida, USA
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Sun F, Cui D, Jiao Q, Niu J, Zhang X, Shi Y, Liu H, Ouyang Z, Yu G, Dou R, Guo Y, Dong L, Cao W. The co-activation pattern between the DMN and other brain networks affects the cognition of older adults: evidence from naturalistic stimulation fMRI data. Cereb Cortex 2024; 34:bhad466. [PMID: 38044469 DOI: 10.1093/cercor/bhad466] [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: 09/07/2023] [Revised: 11/11/2023] [Accepted: 11/13/2023] [Indexed: 12/05/2023] Open
Abstract
Brain function changes affect cognitive functions in older adults, yet the relationship between cognition and the dynamic changes of brain networks during naturalistic stimulation is not clear. Here, we recruited the young, middle-aged and older groups from the Cambridge Center for Aging and Neuroscience to investigate the relationship between dynamic metrics of brain networks and cognition using functional magnetic resonance imaging data during movie-watching. We found six reliable co-activation pattern (CAP) states of brain networks grouped into three pairs with opposite activation patterns in three age groups. Compared with young and middle-aged adults, older adults dwelled shorter time in CAP state 4 with deactivated default mode network (DMN) and activated salience, frontoparietal and dorsal-attention networks (DAN), and longer time in state 6 with deactivated DMN and activated DAN and visual network, suggesting altered dynamic interaction between DMN and other brain networks might contribute to cognitive decline in older adults. Meanwhile, older adults showed easier transfer from state 6 to state 3 (activated DMN and deactivated sensorimotor network), suggesting that the fragile antagonism between DMN and other cognitive networks might contribute to cognitive decline in older adults. Our findings provided novel insights into aberrant brain network dynamics associated with cognitive decline.
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Affiliation(s)
- Fengzhu Sun
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271099, China
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Dong Cui
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271099, China
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Qing Jiao
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271099, China
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Jinpeng Niu
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Xiaotong Zhang
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Yajun Shi
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Haiqin Liu
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Zhen Ouyang
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Guanghui Yu
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Ruhai Dou
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Yongxin Guo
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, China
| | - Li Dong
- MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Weifang Cao
- Department of Radiology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an 271099, China
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an 271016, China
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Wang Y, Wen J, Xin J, Zhang Y, Xie H, Tang Y. 3DCNN predicting brain age using diffusion tensor imaging. Med Biol Eng Comput 2023; 61:3335-3344. [PMID: 37672142 DOI: 10.1007/s11517-023-02915-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: 12/12/2022] [Accepted: 08/16/2023] [Indexed: 09/07/2023]
Abstract
Neuroimaging-based brain age prediction using deep learning is gaining popularity. However, few studies have attempted to leverage diffusion tensor imaging (DTI) to predict brain age. In this study, we proposed a 3D convolutional neural network model (3DCNN) and trained it on fractional anisotropy (FA) data from six publicly available datasets (n = 2406, age = 17-60) to estimate brain age. Implementing a two-loop nested cross-validation scheme with a tenfold cross-validation procedure, we achieved a robust prediction performance of a mean absolute error (MAE) of 2.785 and a correlation coefficient of 0.932. We also employed Grad-Cam++ to visualize the salient features of the proposed model. We identified a few highly salient fiber tracts, including the genu of corpus callosum and the left cerebellar peduncle, among others that play a pivotal role in our model. In sum, our model reliably predicted brain age and provided novel insight into age-related changes in brains' axonal structure.
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Affiliation(s)
- Yuqi Wang
- School of Computer Science and Engineering, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Jingxi Wen
- School of Computer Science and Engineering, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Jiang Xin
- School of Computer Science and Engineering, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Yunhao Zhang
- School of Computer Science and Engineering, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Hua Xie
- Department of Psychology, University of Maryland, College Park, MD, 20742, USA.
- Center for Neuroscience Research, Children's National Hospital, Washington, D.C, 20010, USA.
| | - Yan Tang
- School of Computer Science and Engineering, Central South University, Changsha, 410008, Hunan, People's Republic of China.
- Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin, 541004, Guangxi, People's Republic of China.
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11
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Jünemann K, Engels A, Marie D, Worschech F, Scholz DS, Grouiller F, Kliegel M, Van De Ville D, Altenmüller E, Krüger THC, James CE, Sinke C. Increased functional connectivity in the right dorsal auditory stream after a full year of piano training in healthy older adults. Sci Rep 2023; 13:19993. [PMID: 37968500 PMCID: PMC10652022 DOI: 10.1038/s41598-023-46513-1] [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: 06/03/2022] [Accepted: 11/02/2023] [Indexed: 11/17/2023] Open
Abstract
Learning to play an instrument at an advanced age may help to counteract or slow down age-related cognitive decline. However, studies investigating the neural underpinnings of these effects are still scarce. One way to investigate the effects of brain plasticity is using resting-state functional connectivity (FC). The current study compared the effects of learning to play the piano (PP) against participating in music listening/musical culture (MC) lessons on FC in 109 healthy older adults. Participants underwent resting-state functional magnetic resonance imaging at three time points: at baseline, and after 6 and 12 months of interventions. Analyses revealed piano training-specific FC changes after 12 months of training. These include FC increase between right Heschl's gyrus (HG), and other right dorsal auditory stream regions. In addition, PP showed an increased anticorrelation between right HG and dorsal posterior cingulate cortex and FC increase between the right motor hand area and a bilateral network of predominantly motor-related brain regions, which positively correlated with fine motor dexterity improvements. We suggest to interpret those results as increased network efficiency for auditory-motor integration. The fact that functional neuroplasticity can be induced by piano training in healthy older adults opens new pathways to countervail age related decline.
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Affiliation(s)
- Kristin Jünemann
- Division of Clinical Psychology & Sexual Medicine, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
- Center for Systems Neuroscience, Hannover, Germany
| | - Anna Engels
- Division of Clinical Psychology & Sexual Medicine, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Damien Marie
- Geneva Musical Minds Lab, Geneva School of Health Sciences, University of Applied Sciences and Arts Western Switzerland (HES-SO), Geneva, Switzerland
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- CIBM Center for Biomedical Imaging, MRI UNIGE, University of Geneva, Geneva, Switzerland
| | - Florian Worschech
- Center for Systems Neuroscience, Hannover, Germany
- Institute of Music Physiology and Musicians' Medicine, Hannover University of Music, Drama and Media, Hannover, Germany
| | - Daniel S Scholz
- Institute of Medical Psychology, University of Lübeck, Lübeck, Germany
- Department of Musicians' Health, University of Music Lübeck, Lübeck, Germany
| | - Frédéric Grouiller
- CIBM Center for Biomedical Imaging, MRI UNIGE, University of Geneva, Geneva, Switzerland
- Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland
| | - Matthias Kliegel
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
- Center for the Interdisciplinary Study of Gerontology and Vulnerability, University of Geneva, Geneva, Switzerland
| | - Dimitri Van De Ville
- Neuro-X Institute, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland
- Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Eckart Altenmüller
- Center for Systems Neuroscience, Hannover, Germany
- Institute of Music Physiology and Musicians' Medicine, Hannover University of Music, Drama and Media, Hannover, Germany
| | - Tillmann H C Krüger
- Division of Clinical Psychology & Sexual Medicine, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
- Center for Systems Neuroscience, Hannover, Germany
| | - Clara E James
- Geneva Musical Minds Lab, Geneva School of Health Sciences, University of Applied Sciences and Arts Western Switzerland (HES-SO), Geneva, Switzerland
- Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Christopher Sinke
- Division of Clinical Psychology & Sexual Medicine, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany.
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12
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Gao Y, Zhao Y, Li M, Lawless RD, Schilling KG, Xu L, Shafer AT, Beason-Held LL, Resnick SM, Rogers BP, Ding Z, Anderson AW, Landman BA, Gore JC. Functional alterations in bipartite network of white and grey matters during aging. Neuroimage 2023; 278:120277. [PMID: 37473978 PMCID: PMC10529380 DOI: 10.1016/j.neuroimage.2023.120277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/23/2023] [Accepted: 07/11/2023] [Indexed: 07/22/2023] Open
Abstract
The effects of normal aging on functional connectivity (FC) within various brain networks of gray matter (GM) have been well-documented. However, the age effects on the networks of FC between white matter (WM) and GM, namely WM-GM FC, remains unclear. Evaluating crucial properties, such as global efficiency (GE), for a WM-GM FC network poses a challenge due to the absence of closed triangle paths which are essential for assessing network properties in traditional graph models. In this study, we propose a bipartite graph model to characterize the WM-GM FC network and quantify these challenging network properties. Leveraging this model, we assessed the WM-GM FC network properties at multiple scales across 1,462 cognitively normal subjects aged 22-96 years from three repositories (ADNI, BLSA and OASIS-3) and investigated the age effects on these properties throughout adulthood and during late adulthood (age ≥70 years). Our findings reveal that (1) heterogeneous alterations occurred in region-specific WM-GM FC over the adulthood and decline predominated during late adulthood; (2) the FC density of WM bundles engaged in memory, executive function and processing speed declined with age over adulthood, particularly in later years; and (3) the GE of attention, default, somatomotor, frontoparietal and limbic networks reduced with age over adulthood, and GE of visual network declined during late adulthood. These findings provide unpresented insights into multi-scale alterations in networks of WM-GM functional synchronizations during normal aging. Furthermore, our bipartite graph model offers an extendable framework for quantifying WM-engaged networks, which may contribute to a wide range of neuroscience research.
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Affiliation(s)
- Yurui Gao
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
| | - Yu Zhao
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Muwei Li
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Richard D Lawless
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kurt G Schilling
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lyuan Xu
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Andrea T Shafer
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Lori L Beason-Held
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Baxter P Rogers
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Zhaohua Ding
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA; Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Adam W Anderson
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Bennett A Landman
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA; Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - John C Gore
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
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13
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Vinodh Kumar G, Lacey S, Sathian K. Physical activity is associated with behavioral and neural changes across the lifespan. Neurosci Lett 2023:137355. [PMID: 37391064 DOI: 10.1016/j.neulet.2023.137355] [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: 01/21/2022] [Revised: 06/16/2023] [Accepted: 06/16/2023] [Indexed: 07/02/2023]
Abstract
Physical activity is known to positively impact brain structure and function, but its effects on resting-state functional connectivity (rsFC) and its relationship with complex tasks as a function of age remain unclear. Here, we address these issues in a large population-based sample (N=540) from the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) repository. We relate levels of physical activity to rsFC patterns in magnetoencephalographic (MEG) and functional magnetic resonance imaging (fMRI) data, and to measures of executive function and visuomotor adaptation, across the lifespan. We show that higher self-reported daily physical activity is associated with lower alpha-band (8-12Hz) global coherence, indicating weaker synchrony of neural oscillations in this band. Physical activity affected between-network connectivity of resting-state functional networks, although its effects on individual networks did not survive correction for multiple comparisons. Furthermore, our results indicate that greater engagement in day-to-day physical activity is associated with better visuomotor adaptation, across the lifespan. Overall, our findings indicate that rsFC metrics indexed by MEG and fMRI are sensitive indicators of the brain's response to physical activity, and that a physically active lifestyle affects multiple aspects of neural function across the lifespan.
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Affiliation(s)
- G Vinodh Kumar
- Department of Neurology, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, 17033-0859, USA
| | - Simon Lacey
- Department of Neurology, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, 17033-0859, USA; Department of Neural & Behavioral Sciences, Penn State College of Medicine, Hershey, PA, 17033-0859, USA
| | - K Sathian
- Department of Neurology, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, 17033-0859, USA; Department of Neural & Behavioral Sciences, Penn State College of Medicine, Hershey, PA, 17033-0859, USA; Department of Psychology, Penn State College of Liberal Arts, University Park, PA, USA.
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14
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Oh J, Crockett RA, Hsu CL, Dao E, Tam R, Liu-Ambrose T. Resistance Training Maintains White Matter and Physical Function in Older Women with Cerebral Small Vessel Disease: An Exploratory Analysis of a Randomized Controlled Trial. J Alzheimers Dis Rep 2023; 7:627-639. [PMID: 37483319 PMCID: PMC10357123 DOI: 10.3233/adr-220113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 05/17/2023] [Indexed: 07/25/2023] Open
Abstract
Background As the aging population grows, there is an increasing need to develop accessible interventions against risk factors for cognitive impairment and dementia, such as cerebral small vessel disease (CSVD). The progression of white matter hyperintensities (WMHs), a key hallmark of CSVD, can be slowed by resistance training (RT). We hypothesize RT preserves white matter integrity and that this preservation is associated with improved cognitive and physical function. Objective To determine if RT preserves regional white matter integrity and if any changes are associated with cognitive and physical outcomes. Methods Using magnetic resonance imaging data from a 12-month randomized controlled trial, we compared the effects of a twice-weekly 60-minute RT intervention versus active control on T1-weighted over T2-weighted ratio (T1w/T2w; a non-invasive proxy measure of white matter integrity) in a subset of study participants (N = 21 females, mean age = 69.7 years). We also examined the association between changes in T1w/T2w with two key outcomes of the parent study: (1) selective attention and conflict resolution, and (2) peak muscle power. Results Compared with an active control group, RT increased T1w/T2w in the external capsule (p = 0.024) and posterior thalamic radiations (p = 0.013) to a greater degree. Increased T1w/T2w in the external capsule was associated with an increase in peak muscle power (p = 0.043) in the RT group. Conclusion By maintaining white matter integrity, RT may be a promising intervention to counteract the pathological changes that accompany CSVD, while improving functional outcomes such as muscle power.
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Affiliation(s)
- Jean Oh
- Aging, Mobility, and Cognitive Health Laboratory, University of British Columbia, Vancouver, Canada
| | - Rachel A. Crockett
- Aging, Mobility, and Cognitive Health Laboratory, University of British Columbia, Vancouver, Canada
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, Canada
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada
- Centre for SMART Aging at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Chun-Liang Hsu
- Aging, Mobility, and Cognitive Health Laboratory, University of British Columbia, Vancouver, Canada
- Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hung Hom, Hong Kong
- Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, Canada
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada
- Centre for SMART Aging at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Elizabeth Dao
- Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, Canada
- Department of Radiology, University of British Columbia, Vancouver, Canada
- Centre for SMART Aging at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Roger Tam
- Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, Canada
- School of Biomedical Engineering, University of British Columbia, Vancouver, Canada
- Department of Radiology, University of British Columbia, Vancouver, Canada
- Centre for SMART Aging at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Teresa Liu-Ambrose
- Aging, Mobility, and Cognitive Health Laboratory, University of British Columbia, Vancouver, Canada
- Djavad Mowafaghian Centre for Brain Health, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, Canada
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada
- Centre for SMART Aging at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, Canada
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15
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Koshino H, Osaka M, Shimokawa T, Kaneda M, Taniguchi S, Minamoto T, Yaoi K, Azuma M, Higo K, Osaka N. Cooperation and competition between the default mode network and frontal parietal network in the elderly. Front Psychol 2023; 14:1140399. [PMID: 37275713 PMCID: PMC10237017 DOI: 10.3389/fpsyg.2023.1140399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 04/26/2023] [Indexed: 06/07/2023] Open
Abstract
Recent research has shown that the Default Mode Network (DMN) typically exhibits increased activation during processing of social and personal information but shows deactivation during working memory (WM) tasks. Previously, we reported the Frontal Parietal Network (FPN) and DMN showed coactivation during task preparation whereas the DMN exhibited deactivation during task execution in working memory tasks. Aging research has shown that older adults exhibited decreased functional connectivity in the DMN relative to younger adults. Here, we investigated whether age-related cognitive decline is related to a reduced relationship between the FPN and DMN using a working memory task during the execution period. First, we replicated our previous finding that the FPN and DMN showed coactivation during the preparation period, whereas the DMN showed deactivation during the execution period. The older adults showed reduced DMN activity during task preparation and reduced deactivation during task execution; however, they exhibited a higher magnitude of activation in the FPN than the young individuals during task execution. Functional connectivity analyses showed that the elderly group, compared to the young group, showed weaker correlations within the FPN and the DMN, weaker positive correlations between the FPN and DMN during task preparation, and weaker negative correlations between the FPN and DMN during execution. The results suggest that cognitive decline in the older adults might be related to reduced connectivity within the DMN as well as between the FPN and DMN.
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Affiliation(s)
- Hideya Koshino
- Department of Psychology, California State University, San Bernardino, CA, United States
| | - Mariko Osaka
- Graduate School of Human Sciences, Osaka University, Suita, Osaka, Japan
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan
| | - Tetsuya Shimokawa
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan
| | - Mizuki Kaneda
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan
| | - Seira Taniguchi
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan
| | - Takehiro Minamoto
- Graduate School of Human Sciences, Osaka University, Suita, Osaka, Japan
| | - Ken Yaoi
- Department of Psychology, Graduate School of Letters, Kyoto University, Kyoto, Japan
| | - Miyuki Azuma
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan
| | - Katsuki Higo
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Suita, Osaka, Japan
| | - Naoyuki Osaka
- Department of Psychology, Graduate School of Letters, Kyoto University, Kyoto, Japan
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16
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A within-subject voxel-wise constant-block partial least squares correlation method to explore MRI-based brain structure–function relationship. Cogn Neurodyn 2023. [DOI: 10.1007/s11571-023-09941-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023] Open
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17
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Varanasi S, Tuli R, Han F, Chen R, Choa FS. Age Related Functional Connectivity Signature Extraction Using Energy-Based Machine Learning Techniques. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23031603. [PMID: 36772649 PMCID: PMC9920122 DOI: 10.3390/s23031603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 01/24/2023] [Accepted: 01/29/2023] [Indexed: 05/14/2023]
Abstract
The study of brain connectivity plays an important role in understanding the functional organizations of the brain. It also helps to identify connectivity signatures that can be used for evaluating neural disorders and monitoring treatment efficacy. In this work, age-related changes in brain connectivity are studied to obtain aging signatures based on various modeling techniques. These include an energy-based machine learning technique to identify brain network interaction differences between two age groups with a large (30 years) age gap between them. Disconnectivity graphs and activation maps of the seven prominent resting-state networks (RSN) were obtained from functional MRI data of old and young adult subjects. Two-sample t-tests were performed on the local minimums with Bonferroni correction to control the family-wise error rate. These local minimums are connectivity states showing not only which brain regions but also how strong they are working together. They work as aging signatures that can be used to differentiate young and old groups. We found that the attention network's connectivity signature is a state with all the regions working together and young subjects have a stronger average connectivity among these regions. We have also found a common pattern between young and old subjects where the left and right brain regions of the frontal network are sometimes working separately instead of together. In summary, in this work, we combined machine learning and statistical approaches to extract connectivity signatures, which can be utilized to distinguish aging brains and monitor possible treatment efficacy.
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Affiliation(s)
- Sravani Varanasi
- Department of Electrical Engineering and Computer Science, University of Maryland Baltimore County, Baltimore, MD 21250, USA
- Correspondence:
| | - Roopan Tuli
- Department of Electrical Engineering, Santa Clara University, Santa Clara, CA 95053, USA
| | - Fei Han
- The Hilltop Institute, University of Maryland Baltimore County, Baltimore, MD 21250, USA
| | - Rong Chen
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Baltimore, Baltimore, MD 21201, USA
| | - Fow-Sen Choa
- Department of Electrical Engineering and Computer Science, University of Maryland Baltimore County, Baltimore, MD 21250, USA
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18
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Deery HA, Di Paolo R, Moran C, Egan GF, Jamadar SD. The older adult brain is less modular, more integrated, and less efficient at rest: A systematic review of large-scale resting-state functional brain networks in aging. Psychophysiology 2023; 60:e14159. [PMID: 36106762 PMCID: PMC10909558 DOI: 10.1111/psyp.14159] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 07/22/2022] [Accepted: 07/25/2022] [Indexed: 12/23/2022]
Abstract
The literature on large-scale resting-state functional brain networks across the adult lifespan was systematically reviewed. Studies published between 1986 and July 2021 were retrieved from PubMed. After reviewing 2938 records, 144 studies were included. Results on 11 network measures were summarized and assessed for certainty of the evidence using a modified GRADE method. The evidence provides high certainty that older adults display reduced within-network and increased between-network functional connectivity. Older adults also show lower segregation, modularity, efficiency and hub function, and decreased lateralization and a posterior to anterior shift at rest. Higher-order functional networks reliably showed age differences, whereas primary sensory and motor networks showed more variable results. The inflection point for network changes is often the third or fourth decade of life. Age effects were found with moderate certainty for within- and between-network altered patterns and speed of dynamic connectivity. Research on within-subject bold variability and connectivity using glucose uptake provides low certainty of age differences but warrants further study. Taken together, these age-related changes may contribute to the cognitive decline often seen in older adults.
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Affiliation(s)
- Hamish A. Deery
- Turner Institute for Brain and Mental HealthMonash UniversityMelbourneVictoriaAustralia
- Monash Biomedical ImagingMonash UniversityMelbourneVictoriaAustralia
| | - Robert Di Paolo
- Turner Institute for Brain and Mental HealthMonash UniversityMelbourneVictoriaAustralia
- Monash Biomedical ImagingMonash UniversityMelbourneVictoriaAustralia
| | - Chris Moran
- Peninsula Clinical School, Central Clinical SchoolMonash UniversityFrankstonVictoriaAustralia
- Department of Geriatric MedicinePeninsula HealthFrankstonVictoriaAustralia
| | - Gary F. Egan
- Turner Institute for Brain and Mental HealthMonash UniversityMelbourneVictoriaAustralia
- Monash Biomedical ImagingMonash UniversityMelbourneVictoriaAustralia
- Australian Research Council Centre of Excellence for Integrative Brain FunctionMelbourneVictoriaAustralia
| | - Sharna D. Jamadar
- Turner Institute for Brain and Mental HealthMonash UniversityMelbourneVictoriaAustralia
- Monash Biomedical ImagingMonash UniversityMelbourneVictoriaAustralia
- Australian Research Council Centre of Excellence for Integrative Brain FunctionMelbourneVictoriaAustralia
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19
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Stumme J, Krämer C, Miller T, Schreiber J, Caspers S, Jockwitz C. Interrelating differences in structural and functional connectivity in the older adult's brain. Hum Brain Mapp 2022; 43:5543-5561. [PMID: 35916531 PMCID: PMC9704795 DOI: 10.1002/hbm.26030] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/11/2022] [Accepted: 07/15/2022] [Indexed: 01/15/2023] Open
Abstract
In the normal aging process, the functional connectome restructures and shows a shift from more segregated to more integrated brain networks, which manifests itself in highly different cognitive performances in older adults. Underpinnings of this reorganization are not fully understood, but may be related to age-related differences in structural connectivity, the underlying scaffold for information exchange between regions. The structure-function relationship might be a promising factor to understand the neurobiological sources of interindividual cognitive variability, but remain unclear in older adults. Here, we used diffusion weighted and resting-state functional magnetic resonance imaging as well as cognitive performance data of 573 older subjects from the 1000BRAINS cohort (55-85 years, 287 males) and performed a partial least square regression on 400 regional functional and structural connectivity (FC and SC, respectively) estimates comprising seven resting-state networks. Our aim was to identify FC and SC patterns that are, together with cognitive performance, characteristic of the older adults aging process. Results revealed three different aging profiles prevalent in older adults. FC was found to behave differently depending on the severity of age-related SC deteriorations. A functionally highly interconnected system is associated with a structural connectome that shows only minor age-related decreases. Because this connectivity profile was associated with the most severe age-related cognitive decline, a more interconnected FC system in older adults points to a process of dedifferentiation. Thus, functional network integration appears to increase primarily when SC begins to decline, but this does not appear to mitigate the decline in cognitive performance.
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Affiliation(s)
- Johanna Stumme
- Institute of Neuroscience and Medicine (INM‐1), Research Centre JülichJülichGermany
- Institute for Anatomy I, Medical Faculty & University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany
| | - Camilla Krämer
- Institute of Neuroscience and Medicine (INM‐1), Research Centre JülichJülichGermany
- Institute for Anatomy I, Medical Faculty & University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany
| | - Tatiana Miller
- Institute of Neuroscience and Medicine (INM‐1), Research Centre JülichJülichGermany
- Institute for Anatomy I, Medical Faculty & University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany
| | - Jan Schreiber
- Institute of Neuroscience and Medicine (INM‐1), Research Centre JülichJülichGermany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM‐1), Research Centre JülichJülichGermany
- Institute for Anatomy I, Medical Faculty & University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM‐1), Research Centre JülichJülichGermany
- Institute for Anatomy I, Medical Faculty & University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany
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20
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Morand A, Segobin S, Lecouvey G, Gonneaud J, Eustache F, Rauchs G, Desgranges B. Alterations in resting-state functional connectivity associated to the age-related decline in time-based prospective memory. Cereb Cortex 2022; 33:4374-4383. [PMID: 36130116 DOI: 10.1093/cercor/bhac349] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/29/2022] [Accepted: 07/30/2022] [Indexed: 11/12/2022] Open
Abstract
Time-based prospective memory (TBPM) is defined as the ability to remember to perform intended actions at a specific time in the future. TBPM is impaired in aging, and this decline has been associated with white-matter alterations within the superior fronto-occipital fasciculus. In the present study, we used resting-state functional magnetic resonance imaging from 22 healthy young (26 ± 5.2 years) and 23 older (63 ± 6.1 years) participants to investigate how age-related alterations in resting-state functional connectivity are related to TBPM performance, and whether these alterations are associated with the white-matter disruptions we have previously observed with diffusion tensor imaging. Whole-brain analyses revealed lower resting-state functional connectivity in older participants compared with younger ones, which in turn correlated with TBPM performance. These correlations were mainly located in the salience network and the parietal part of the frontoparietal network. Our findings suggest that resting-state functional connectivity alterations contribute to the age-related decline in TBPM.
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Affiliation(s)
- Alexandrine Morand
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
- Normandie Universite, UNICAEN, Inserm, U1237, PHIND, Institut Blood and Brain @Caen-Normandie, GIP Cyceron, Bd Henri Becquerel, BP 5229, 14074 Caen Cedex 5, France
| | - Shailendra Segobin
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
| | - Grégory Lecouvey
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
| | - Julie Gonneaud
- Normandie Universite, UNICAEN, Inserm, U1237, PHIND, Institut Blood and Brain @Caen-Normandie, GIP Cyceron, Bd Henri Becquerel, BP 5229, 14074 Caen Cedex 5, France
| | - Francis Eustache
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
| | - Géraldine Rauchs
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
- Normandie Universite, UNICAEN, Inserm, U1237, PHIND, Institut Blood and Brain @Caen-Normandie, GIP Cyceron, Bd Henri Becquerel, BP 5229, 14074 Caen Cedex 5, France
| | - Béatrice Desgranges
- Normandie Universite, UNICAEN, PSL Universite Paris, EPHE, Inserm, U1077, CHU de Caen, NIMH, GIP Cyceron, Pole des Formations et de Recherche en Sante, 2 rue des Rochambelles, F-14032 Caen Cedex CS 14032, France
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21
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Alm KH, Soldan A, Pettigrew C, Faria AV, Hou X, Lu H, Moghekar A, Mori S, Albert M, Bakker A. Structural and Functional Brain Connectivity Uniquely Contribute to Episodic Memory Performance in Older Adults. Front Aging Neurosci 2022; 14:951076. [PMID: 35903538 PMCID: PMC9315224 DOI: 10.3389/fnagi.2022.951076] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 06/15/2022] [Indexed: 01/26/2023] Open
Abstract
In this study, we examined the independent contributions of structural and functional connectivity markers to individual differences in episodic memory performance in 107 cognitively normal older adults from the BIOCARD study. Structural connectivity, defined by the diffusion tensor imaging (DTI) measure of radial diffusivity (RD), was obtained from two medial temporal lobe white matter tracts: the fornix and hippocampal cingulum, while functional connectivity markers were derived from network-based resting state functional magnetic resonance imaging (rsfMRI) of five large-scale brain networks: the control, default, limbic, dorsal attention, and salience/ventral attention networks. Hierarchical and stepwise linear regression methods were utilized to directly compare the relative contributions of the connectivity modalities to individual variability in a composite delayed episodic memory score, while also accounting for age, sex, cerebrospinal fluid (CSF) biomarkers of amyloid and tau pathology (i.e., Aβ42/Aβ40 and p-tau181), and gray matter volumes of the entorhinal cortex and hippocampus. Results revealed that fornix RD, hippocampal cingulum RD, and salience network functional connectivity were each significant independent predictors of memory performance, while CSF markers and gray matter volumes were not. Moreover, in the stepwise model, the addition of sex, fornix RD, hippocampal cingulum RD, and salience network functional connectivity each significantly improved the overall predictive value of the model. These findings demonstrate that both DTI and rsfMRI connectivity measures uniquely contributed to the model and that the combination of structural and functional connectivity markers best accounted for individual variability in episodic memory function in cognitively normal older adults.
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Affiliation(s)
- Kylie H. Alm
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Anja Soldan
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Corinne Pettigrew
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Andreia V. Faria
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Xirui Hou
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Abhay Moghekar
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Susumu Mori
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Arnold Bakker
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States,*Correspondence: Arnold Bakker,
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22
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de Dieu Uwisengeyimana J, Nguchu BA, Wang Y, Zhang D, Liu Y, Jiang Z, Wang X, Qiu B. Longitudinal resting-state functional connectivity and regional brain atrophy-based biomarkers of preclinical cognitive impairment in healthy old adults. Aging Clin Exp Res 2022; 34:1303-1313. [PMID: 35023051 DOI: 10.1007/s40520-021-02067-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Accepted: 12/27/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Intervention against age-related neurodegenerative diseases may be difficult once extensive structural and functional deteriorations have already occurred in the brain. AIM Investigating 6-year longitudinal changes and implications of regional brain atrophy and functional connectivity in the triple-network model as biomarkers of preclinical cognitive impairment in healthy aging. METHODS We acquired longitudinal cognitive scores and magnetic resonance imaging (MRI) data from 74 healthy old adults. Resting-state functional MRI (rs-fMRI) analysis was conducted using FSL6.0.1 to examine functional connectivity changes and regional brain morphometries were quantified using FreeSurfer5.3. Finally, we cross-validated and compared two support vector machine (SVM) regression models to predict future 6-year cognition score from the baseline regional brain atrophy and resting-state functional connectivity (rs-FC) measures. RESULTS After a 6-year follow-up, our results (P < 0.05-corrected) indicated significant connectivity reduction within all the three brain networks, significant differences in regional brain volumes and cortical thickness. We also observed significant improvement in episodic memory and significant decline in executive functions. Finally, comparing the two models, we observed that regional brain atrophy predictors were more efficient in approximating future 6-year cognitive scores (R = 0.756, P < 0.0001) than rs-FC predictors (R = 0.6, P < 0.0001). CONCLUSION This study used longitudinal data to keep subject variability low and to increase the validity of the results. We demonstrated significant changes in structural and functional MRI over 6 years. Our findings present a potential neuroimaging-based biomarker to detect cognitive impairment and prevent risks of neurodegenerative diseases in healthy old adults.
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Affiliation(s)
- Jean de Dieu Uwisengeyimana
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China
- Department of Electrical and Electronics Engineering, College of Science and Technology, University of Rwanda, Kigali, Rwanda
| | - Benedictor Alexander Nguchu
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China
| | - Yaming Wang
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China
| | - Du Zhang
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China
| | - Yanpeng Liu
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China
| | - Zhoufan Jiang
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China
| | - Xiaoxiao Wang
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China.
| | - Bensheng Qiu
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China.
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23
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Lewis JD, O’Reilly C, Bock E, Theilmann RJ, Townsend J. Aging-Related Differences in Structural and Functional Interhemispheric Connectivity. Cereb Cortex 2022; 32:1379-1389. [PMID: 34496021 PMCID: PMC9190305 DOI: 10.1093/cercor/bhab275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 07/18/2021] [Accepted: 07/19/2021] [Indexed: 11/13/2022] Open
Abstract
There is substantial evidence of age-related declines in anatomical connectivity during adulthood, with associated alterations in functional connectivity. But the relation of those functional alterations to the structural reductions is unclear. The complexities of both the structural and the functional connectomes make it difficult to determine such relationships. We pursue this question with methods, based on animal research, that specifically target the interhemispheric connections between the visual cortices. We collect t1- and diffusion-weighted imaging data from which we assess the integrity of the white matter interconnecting the bilateral visual cortices. Functional connectivity between the visual cortices is measured with electroencephalography during the presentation of drifting sinusoidal gratings that agree or conflict across hemifields. Our results show age-related reductions in the integrity of the white matter interconnecting the visual cortices, and age-related increases in the difference in functional interhemispheric lagged coherence between agreeing versus disagreeing visual stimuli. We show that integrity of the white matter in the splenium of the corpus callosum predicts the differences in lagged coherence for the agreeing versus disagreeing stimuli; and that this relationship is mediated by age. These results give new insight into the causal relationship between age and functional connectivity.
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Affiliation(s)
- John D Lewis
- McGill Centre for Integrative Neuroscience, Montreal Neurological Institute, McGill University, Montreal, Quebec, H3A 2B4, Canada
| | - Christian O’Reilly
- Azrieli Centre for Autism Research, McGill University, Montreal, Quebec, H3A 2B4, Canada
| | - Elizabeth Bock
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, H3A 2B4, Canada
| | | | - Jeanne Townsend
- Department of Neurosciences, UC San Diego, La Jolla, CA 92093, USA
- Research on Aging and Development Laboratory, UC San Diego, La Jolla, CA 92037, USA
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24
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Tract-specific statistics based on diffusion-weighted probabilistic tractography. Commun Biol 2022; 5:138. [PMID: 35177755 PMCID: PMC8854429 DOI: 10.1038/s42003-022-03073-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 01/24/2022] [Indexed: 11/09/2022] Open
Abstract
Diffusion-weighted neuroimaging approaches provide rich evidence for estimating the structural integrity of white matter in vivo, but typically do not assess white matter integrity for connections between two specific regions of the brain. Here, we present a method for deriving tract-specific diffusion statistics, based upon predefined regions of interest. Our approach derives a population distribution using probabilistic tractography, based on the Nathan Kline Institute (NKI) Enhanced Rockland sample. We determine the most likely geometry of a path between two regions and express this as a spatial distribution. We then estimate the average orientation of streamlines traversing this path, at discrete distances along its trajectory, and the fraction of diffusion directed along this orientation for each participant. The resulting participant-wise metrics (tract-specific anisotropy; TSA) can then be used for statistical analysis on any comparable population. Based on this method, we report both negative and positive associations between age and TSA for two networks derived from published meta-analytic studies (the “default mode” and “what-where” networks), along with more moderate sex differences and age-by-sex interactions. The proposed method can be applied to any arbitrary set of brain regions, to estimate both the spatial trajectory and DWI-based anisotropy specific to those regions. Andrew Reid et al. use publicly available data to present a method for deriving tract-specific statistics based on diffusion-weighted MRI, based upon arbitrarily-defined regions of interest. Their approach enables them to report both negative and positive associations between age and tract-specific anisotropy along with more moderate sex differences and age-by-sex interactions.
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25
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Ow N, Kuspinar A, Mayo NE. Age differences in trajectories of self-rated health of young people with Multiple Sclerosis. Mult Scler Relat Disord 2022; 57:103322. [PMID: 35158425 DOI: 10.1016/j.msard.2021.103322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 09/27/2021] [Accepted: 10/08/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Recent evidence has suggested an existence of a multiple sclerosis (MS) prodrome. Hence, some young adults with MS are very likely to have had symptoms in childhood or adolescence. It is, therefore, reasonable to assume that people aged under 25 years with MS might have had pediatric-onset. In contrast, young people aged between 26 and 35 are less likely to have had pediatric-onset. Contrasting these two groups of people could lead to valuable information about the impact of MS over time. The purpose of this study is to characterize how self-rated health (SRH) in young people with MS changed over time and to estimate the extent to which SRH differs between age groups (18 to 25 years and 26 to 35 years) and sex. METHODS This study utilized placebo arm data from the Multiple Sclerosis Outcome Assessment Consortium database. Responses to the RAND-36 SRH item of 393 participants were included. Group-based trajectory models (GBTM) were used to identify patterns of change over two years. Ordinal regression was performed to estimate whether these trajectory groups differed by age group, sex, and relapse event. RESULTS Results of GBTM showed that all groups were stable over time except one progressing from a rating of "very good" to "excellent". Posterior probabilities showed that 35% of people consistently rated their health "very good or excellent" and 2% consistently rated their health as "poor". Health perceptions differed across age groups (β = 0.5, OR: 1.7 CI: 1.1, 2.6) but not sex (β = -0.1, OR: 0.9 CI: 0.6 1.3). Compared to the younger group, people aged 26 to 35 years are 1.7 times more likely to rate their health poorer. People with relapses are also 2.2 times more likely to rate their health poorer (β = 0.8, OR: 2.2 CI: 1.5, 3.2). CONCLUSION Trajectories of SRH of young people with MS were relatively stable. In the absence of drug treatment, people in the younger group (<25 years) rated their health better than those in a slightly older group which is consistent with lower disability.
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Affiliation(s)
- Nikki Ow
- School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, QC, Canada; Center for Outcomes Research and Evaluation (CORE), The Research Institute of the McGill University Health Center (RI-MUHC), Montreal, QC, Canada.
| | - Ayse Kuspinar
- School of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Nancy E Mayo
- School of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, QC, Canada; Center for Outcomes Research and Evaluation (CORE), The Research Institute of the McGill University Health Center (RI-MUHC), Montreal, QC, Canada
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26
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Samogin J, Rueda Delgado L, Taberna GA, Swinnen SP, Mantini D. Age-related differences of frequency-dependent functional connectivity in brain networks and their link to motor performance. Brain Connect 2022; 12:686-698. [DOI: 10.1089/brain.2021.0135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Jessica Samogin
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Laura Rueda Delgado
- Trinity College Institute of Neuroscience, 71434, Dublin, Ireland
- Cumulus Neuroscience, Ltd. , Dublin, Ireland
| | - Gaia Amaranta Taberna
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, KU Leuven, Leuven, Belgium
| | - Stephan P. Swinnen
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, KU Leuven, Leuven, Belgium
- Leuven Brain Institute , Leuven, Belgium
| | - Dante Mantini
- Leuven, Belgium
- Research Center for Movement Control and Neuroplasticity, Department of Movement Sciences, KU Leuven, Leuven, Belgium
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27
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Zhou XA, Blackmore DG, Zhuo J, Nasrallah FA, To X, Kurniawan ND, Carlisle A, Vien KY, Chuang KH, Jiang T, Bartlett PF. Neurogenic-dependent changes in hippocampal circuitry underlie the procognitive effect of exercise in aging mice. iScience 2021; 24:103450. [PMID: 34877505 PMCID: PMC8633984 DOI: 10.1016/j.isci.2021.103450] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 09/22/2021] [Accepted: 11/10/2021] [Indexed: 01/05/2023] Open
Abstract
We have shown that the improvement in hippocampal-based learning in aged mice following physical exercise observed is dependent on neurogenesis in the dentate gyrus (DG) and is regulated by changes in growth hormone levels. The changes in neurocircuitry, however, which may underlie this improvement, remain unclear. Using in vivo multimodal magnetic resonance imaging to track changes in aged mice exposed to exercise, we show the improved spatial learning is due to enhanced DG connectivity, particularly the strengthening of the DG-Cornu Ammonis 3 and the DG-medial entorhinal cortex connections in the dorsal hippocampus. Moreover, we provide evidence that these changes in circuitry are dependent on neurogenesis since they were abrogated by ablation of newborn neurons following exercise. These findings identify the specific changes in hippocampal circuitry that underlie the cognitive improvements resulting from physical activity and show that they are dependent on the activation of neurogenesis in aged animals.
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Affiliation(s)
- Xiaoqing Alice Zhou
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Daniel G. Blackmore
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Junjie Zhuo
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Fatima A. Nasrallah
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
- Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD 4072, Australia
| | - XuanVinh To
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Nyoman D. Kurniawan
- Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Alison Carlisle
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - King-Year Vien
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Kai-Hsiang Chuang
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
- Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Tianzi Jiang
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Perry F. Bartlett
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
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28
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Fang Z, Smith DM, Albouy G, King BR, Vien C, Benali H, Carrier J, Doyon J, Fogel S. Differential Effects of a Nap on Motor Sequence Learning-Related Functional Connectivity Between Young and Older Adults. Front Aging Neurosci 2021; 13:747358. [PMID: 34776932 PMCID: PMC8582327 DOI: 10.3389/fnagi.2021.747358] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 10/06/2021] [Indexed: 11/13/2022] Open
Abstract
In older adults, motor sequence learning (MSL) is largely intact. However, consolidation of newly learned motor sequences is impaired compared to younger adults, and there is evidence that brain areas supporting enhanced consolidation via sleep degrade with age. It is known that brain activity in hippocampal-cortical-striatal areas is important for sleep-dependent, off-line consolidation of motor-sequences. Yet, the intricacies of how both age and sleep alter communication within this network of brain areas, which facilitate consolidation, are not known. In this study, 37 young (age 20-35) and 49 older individuals (age 55-75) underwent resting state functional magnetic resonance imaging (fMRI) before and after training on a MSL task as well as after either a nap or a period of awake rest. Young participants who napped showed strengthening of functional connectivity (FC) between motor, striatal, and hippocampal areas, compared to older subjects regardless of sleep condition. Follow-up analyses revealed this effect was driven by younger participants who showed an increase in FC between striatum and motor cortices, as well as older participants who showed decreased FC between the hippocampus, striatum, and precuneus. Therefore, different effects of sleep were observed in younger vs. older participants, where young participants primarily showed increased communication in the striatal-motor areas, while older participants showed decreases in key nodes of the default mode network and striatum. Performance gains correlated with FC changes in young adults, and this association was much greater in participants who napped compared to those who stayed awake. Performance gains also correlated with FC changes in older adults, but only in those who napped. This study reveals that, while there is no evidence of time-dependent forgetting/deterioration of performance, older adults exhibit a completely different pattern of FC changes during consolidation compared to younger adults, and lose the benefit that sleep affords to memory consolidation.
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Affiliation(s)
- Zhuo Fang
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Dylan M Smith
- School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Genevieve Albouy
- Department of Movement Sciences, KU Leuven, Leuven, Belgium.,Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, United States
| | - Bradley R King
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, United States
| | - Catherine Vien
- Department of Psychology, University of Montreal, Montreal, QC, Canada
| | - Habib Benali
- Functional Neuroimaging Laboratory, INSERM, Paris, France
| | - Julie Carrier
- Department of Psychology, University of Montreal, Montreal, QC, Canada.,Centre for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montreal, Montreal, QC, Canada
| | - Julien Doyon
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.,Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.,Functional Neuroimaging Unit, Centre de Recherche Institut Universitaire de Gériatrie de Montréal, Montreal, QC, Canada.,Department of Psychology, University of Montreal, Montreal, QC, Canada
| | - Stuart Fogel
- School of Psychology, University of Ottawa, Ottawa, ON, Canada.,Sleep Unit, University of Ottawa Institute of Mental Health Research at The Royal, Ottawa, ON, Canada.,University of Ottawa Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada
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29
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Krishnamurthy R, Philip R, Balasubramanium RK, Rangarathnam B. Effects of dual-task interference on swallowing in healthy aging adults. PLoS One 2021; 16:e0253550. [PMID: 34166461 PMCID: PMC8224877 DOI: 10.1371/journal.pone.0253550] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 06/07/2021] [Indexed: 11/18/2022] Open
Abstract
A wide body of literature has demonstrated that the neural representation of healthy swallowing is mostly bilateral, with one hemisphere dominant over the other. While several studies have demonstrated the presence of laterality for swallowing related functions among young adults, the data on older adults are still growing. The purpose of this paper is to investigate potential changes in hemispheric dominance in healthy aging adults for swallowing related tasks using a behavioral dual-task paradigm. A modified dual-task paradigm was designed to investigate the potential reduction in hemispherical specialization for swallowing function. Eighty healthy right-handed participants in the study were divided into two groups [Group 1: young adults (18–40 years) and Group 2: older adults (65 and above)]. All the participants performed a timed water swallow test at baseline and with two interference conditions (silent word repetition, and facial recognition). The results of the study revealed the following 1) a statistically significant effect of age on swallow performance; 2) statistically significant effect of each of the interference tasks on two of the swallow measures (VPS and VPT) in younger adults; and 3) no significant effect of the interference tasks on the swallowing performance of older adults. These findings suggest that aging substantially affects swallowing in older individuals, and this potentially accompanies a reduction in the hemispheric specialization for swallowing related tasks.
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Affiliation(s)
- Rahul Krishnamurthy
- Department of Audiology and Speech-Language Pathology, Kasturba Medical College, Mangalore, India
- Manipal Academy of Higher Education, Manipal, Karnataka, India
| | | | - Radish Kumar Balasubramanium
- Department of Audiology and Speech-Language Pathology, Kasturba Medical College, Mangalore, India
- Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Balaji Rangarathnam
- Department of Speech-Language Pathology, Midwestern University, Downers Grove, Illinois, United States of America
- * E-mail:
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Longitudinal analysis of disability outcomes among young people with MS. Mult Scler Relat Disord 2021; 52:102966. [PMID: 33934012 DOI: 10.1016/j.msard.2021.102966] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 04/07/2021] [Accepted: 04/10/2021] [Indexed: 01/11/2023]
Abstract
BACKGROUND The age of onset of MS appears to influence the course of disease progression and people with younger age of onset might have a different disability trajectory. OBJECTIVES To identify longitudinal patterns of disability progression, as measured by changes in the Multiple Sclerosis Functional Composite (MSFC), of young people in MS drug trials and to estimate the extent to which disability progression differ in two age groups (≤25 years and 26 - 35 years). METHODS Data from the Multiple Sclerosis Outcomes Assessment Consortium (MSOAC) was used. Longitudinal patterns on the MSFC were identified using group-based trajectory models (GBTM). For difference between the expected and observed proportions of people with pediatric-onset MS chi-square statistic was used. Linear mixed models were used to estimate the average change in performance over time, age and sex. RESULTS GBTM results showed little variability in performance over time. Mixed modeling showed that the younger group performed better for gait speed, dexterity, and cognition. Men performed poorer on dexterity and cognition. Distribution of people with pediatric-onset MS differed from expected on dexterity, cognition, and the EDSS. CONCLUSIONS The combined use of trajectory models and linear mixed models provided rich information about the variability in function over time.
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Molfese PJ, Glen D, Mesite L, Cox RW, Hoeft F, Frost SJ, Mencl WE, Pugh KR, Bandettini PA. The Haskins pediatric atlas: a magnetic-resonance-imaging-based pediatric template and atlas. Pediatr Radiol 2021; 51:628-639. [PMID: 33211184 PMCID: PMC7981247 DOI: 10.1007/s00247-020-04875-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 08/21/2020] [Accepted: 10/08/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Spatial normalization plays an essential role in multi-subject MRI and functional MRI (fMRI) experiments by facilitating a common space in which group analyses are performed. Although many prominent adult templates are available, their use for pediatric data is problematic. Generalized templates for pediatric populations are limited or constructed using older methods that result in less ideal normalization. OBJECTIVE The Haskins pediatric templates and atlases aim to provide superior registration and more precise accuracy in labeling of anatomical and functional regions essential for all fMRI studies involving pediatric populations. MATERIALS AND METHODS The Haskins pediatric templates and atlases were generated with nonlinear methods using structural MRI from 72 children (age range 7-14 years, median 10 years), allowing for a detailed template with corresponding parcellations of labeled atlas regions. The accuracy of these templates and atlases was assessed using multiple metrics of deformation distance and overlap. RESULTS When comparing the deformation distances from normalizing pediatric data between this template and both the adult templates and other pediatric templates, we found significantly less deformation distance for the Haskins pediatric template (P<0.0001). Further, the correct atlas classification was higher using the Haskins pediatric template in 74% of regions (P<0.0001). CONCLUSION The Haskins pediatric template results in more accurate correspondence across subjects because of lower deformation distances. This correspondence also provides better accuracy in atlas locations to benefit structural and functional imaging analyses of pediatric populations.
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Affiliation(s)
- Peter J. Molfese
- Haskins Laboratories, 300 George St., Suite 900, New Haven, CT 06511, USA,Section on Functional Imaging Methods, National Institutes of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Daniel Glen
- Scientific and Statistical Computing Core, National Institutes of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Laura Mesite
- Haskins Laboratories, 300 George St., Suite 900, New Haven, CT 06511, USA
| | - Robert W. Cox
- Scientific and Statistical Computing Core, National Institutes of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Fumiko Hoeft
- Haskins Laboratories, 300 George St., Suite 900, New Haven, CT 06511, USA,Brain Imaging Research Center (BIRC), University of Connecticut, Storrs, CT, USA
| | - Stephen J. Frost
- Haskins Laboratories, 300 George St., Suite 900, New Haven, CT 06511, USA
| | - W. Einar Mencl
- Haskins Laboratories, 300 George St., Suite 900, New Haven, CT 06511, USA
| | - Kenneth R. Pugh
- Haskins Laboratories, 300 George St., Suite 900, New Haven, CT 06511, USA
| | - Peter A. Bandettini
- Section on Functional Imaging Methods, National Institutes of Mental Health, National Institutes of Health, Bethesda, MD, USA
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Matijevic S, Ryan L. Tract Specificity of Age Effects on Diffusion Tensor Imaging Measures of White Matter Health. Front Aging Neurosci 2021; 13:628865. [PMID: 33790778 PMCID: PMC8006297 DOI: 10.3389/fnagi.2021.628865] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 02/11/2021] [Indexed: 11/13/2022] Open
Abstract
Well-established literature indicates that older adults have poorer cerebral white matter integrity, as measured through diffusion tensor imaging (DTI). Age differences in DTI have been observed widely across white matter, although some tracts appear more sensitive to the effects of aging than others. Factors like APOE ε4 status and sex may contribute to individual differences in white matter integrity that also selectively impact certain tracts, and could influence DTI changes in aging. The present study explored the degree to which age, APOE ε4, and sex exerted global vs. tract specific effects on DTI metrics in cognitively healthy late middle-aged to older adults. Data from 49 older adults (ages 54–92) at two time-points separated by approximately 2.7 years were collected. DTI metrics, including fractional anisotropy (FA) and mean diffusivity (MD), were extracted from nine white matter tracts and global white matter. Results showed that across timepoints, FA and MD increased globally, with no tract-specific changes observed. Baseline age had a global influence on both measures, with increasing age associated with lower FA and higher MD. After controlling for global white matter FA, age additionally predicted FA for the genu, callosum body, inferior fronto-occipital fasciculus (IFOF), and both anterior and posterior cingulum. Females exhibited lower global FA on average compared to males. In contrast, MD was selectively elevated in the anterior cingulum and superior longitudinal fasciculus (SLF), for females compared to males. APOE ε4 status was not predictive of either measure. In summary, these results indicate that age and sex are associated with both global and tract-specific alterations to DTI metrics among a healthy older adult cohort. Older women have poorer white matter integrity compared to older men, perhaps related to menopause-induced metabolic changes. While age-related alterations to white matter integrity are global, there is substantial variation in the degree to which tracts are impacted, possibly as a consequence of tract anatomical variability. The present study highlights the importance of accounting for global sources of variation in DTI metrics when attempting to investigate individual differences (due to age, sex, or other factors) in specific white matter tracts.
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Affiliation(s)
- Stephanie Matijevic
- Cognition and Neuroimaging Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, United States
| | - Lee Ryan
- Cognition and Neuroimaging Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, United States
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Daneault V, Orban P, Martin N, Dansereau C, Godbout J, Pouliot P, Dickinson P, Gosselin N, Vandewalle G, Maquet P, Lina JM, Doyon J, Bellec P, Carrier J. Cerebral functional networks during sleep in young and older individuals. Sci Rep 2021; 11:4905. [PMID: 33649377 PMCID: PMC7921592 DOI: 10.1038/s41598-021-84417-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 02/15/2021] [Indexed: 11/09/2022] Open
Abstract
Even though sleep modification is a hallmark of the aging process, age-related changes in functional connectivity using functional Magnetic Resonance Imaging (fMRI) during sleep, remain unknown. Here, we combined electroencephalography and fMRI to examine functional connectivity differences between wakefulness and light sleep stages (N1 and N2 stages) in 16 young (23.1 ± 3.3y; 7 women), and 14 older individuals (59.6 ± 5.7y; 8 women). Results revealed extended, distributed (inter-between) and local (intra-within) decreases in network connectivity during sleep both in young and older individuals. However, compared to the young participants, older individuals showed lower decreases in connectivity or even increases in connectivity between thalamus/basal ganglia and several cerebral regions as well as between frontal regions of various networks. These findings reflect a reduced ability of the older brain to disconnect during sleep that may impede optimal disengagement for loss of responsiveness, enhanced lighter and fragmented sleep, and contribute to age effects on sleep-dependent brain plasticity.
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Affiliation(s)
- Véronique Daneault
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada.,Center for Advanced Research in Sleep Medicine (CARSM), Hôpital du Sacré-Cœur de Montréal, 5400 Gouin Boulevard West, Montreal, QC, H4J 1C5, Canada.,Department of Psychology, University of Montreal, Downtown Station, P.O. Box 6128, Montreal, QC, H3C 3J7, Canada
| | - Pierre Orban
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada.,Department of Psychiatry, University of Montreal, Downtown Station, P.O. Box 6128, Montreal, QC, H3C 3J7, Canada.,Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, 7331 Hochelaga, Montreal, QC, H1N 3V2, Canada
| | - Nicolas Martin
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada.,Center for Advanced Research in Sleep Medicine (CARSM), Hôpital du Sacré-Cœur de Montréal, 5400 Gouin Boulevard West, Montreal, QC, H4J 1C5, Canada.,Department of Psychology, University of Montreal, Downtown Station, P.O. Box 6128, Montreal, QC, H3C 3J7, Canada
| | - Christian Dansereau
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada
| | - Jonathan Godbout
- Center for Advanced Research in Sleep Medicine (CARSM), Hôpital du Sacré-Cœur de Montréal, 5400 Gouin Boulevard West, Montreal, QC, H4J 1C5, Canada.,Génie Électrique, École de technologie supérieure, 1100, rue Notre-Dame Ouest, Montreal, QC, H3C 1K3, Canada
| | - Philippe Pouliot
- École Polytechnique de Montréal, Succursale Centre-Ville, C.P. 6079, Montreal, QC, H3C 3A7, Canada
| | - Philip Dickinson
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada
| | - Nadia Gosselin
- Center for Advanced Research in Sleep Medicine (CARSM), Hôpital du Sacré-Cœur de Montréal, 5400 Gouin Boulevard West, Montreal, QC, H4J 1C5, Canada.,Department of Psychology, University of Montreal, Downtown Station, P.O. Box 6128, Montreal, QC, H3C 3J7, Canada
| | - Gilles Vandewalle
- GIGA-Cyclotron Research Centre-In Vivo Imaging, Université de Liège, Allée du 6 Août, Bâtiment B30, Sart Tilman, 4000, Liège, Belgium
| | - Pierre Maquet
- GIGA-Cyclotron Research Centre-In Vivo Imaging, Université de Liège, Allée du 6 Août, Bâtiment B30, Sart Tilman, 4000, Liège, Belgium
| | - Jean-Marc Lina
- Génie Électrique, École de technologie supérieure, 1100, rue Notre-Dame Ouest, Montreal, QC, H3C 1K3, Canada.,Centre de Recherches Mathématiques (CRM), Université de Montréal, Succursale Centre-Ville, Case postale 6128, Montreal, QC, H3C 3J7, Canada.,Biomedical Engineering Department, McGill University, 3775 University Street, Montreal, QC, H3A 2B4, Canada.,U678 INSERM, Paris, France
| | - Julien Doyon
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada
| | - Pierre Bellec
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada
| | - Julie Carrier
- Functional Neuroimaging Unit, University of Montreal Geriatric Institute, 4565, Queen-Mary Road, Montreal, QC, H3W 1W5, Canada. .,Center for Advanced Research in Sleep Medicine (CARSM), Hôpital du Sacré-Cœur de Montréal, 5400 Gouin Boulevard West, Montreal, QC, H4J 1C5, Canada. .,Department of Psychology, University of Montreal, Downtown Station, P.O. Box 6128, Montreal, QC, H3C 3J7, Canada.
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Kirch C, Gollo LL. Single-neuron dynamical effects of dendritic pruning implicated in aging and neurodegeneration: towards a measure of neuronal reserve. Sci Rep 2021; 11:1309. [PMID: 33446683 PMCID: PMC7809359 DOI: 10.1038/s41598-020-78815-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 11/13/2020] [Indexed: 12/13/2022] Open
Abstract
Aging is a main risk factor for neurodegenerative disorders including Alzheimer's disease. It is often accompanied by reduced cognitive functions, gray-matter volume, and dendritic integrity. Although age-related brain structural changes have been observed across multiple scales, their functional implications remain largely unknown. Here we simulate the aging effects on neuronal morphology as dendritic pruning and characterize its dynamical implications. Utilizing a detailed computational modeling approach, we simulate the dynamics of digitally reconstructed neurons obtained from Neuromorpho.org. We show that dendritic pruning affects neuronal integrity: firing rate is reduced, causing a reduction in energy consumption, energy efficiency, and dynamic range. Pruned neurons require less energy but their function is often impaired, which can explain the diminished ability to distinguish between similar experiences (pattern separation) in older people. Our measures indicate that the resilience of neuronal dynamics is neuron-specific, heterogeneous, and strongly affected by dendritic topology and the position of the soma. Based on the emergent neuronal dynamics, we propose to classify the effects of dendritic deterioration, and put forward a topological measure of “neuronal reserve” that quantifies the resilience of neuronal dynamics to dendritic pruning. Moreover, our findings suggest that increasing dendritic excitability could partially mitigate the dynamical effects of aging.
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Affiliation(s)
- Christoph Kirch
- QIMR Berghofer Medical Research Institute, Brisbane, Australia.,The Queensland University of Technology, Brisbane, Australia
| | - Leonardo L Gollo
- QIMR Berghofer Medical Research Institute, Brisbane, Australia. .,The Queensland University of Technology, Brisbane, Australia. .,The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash Biomedical Imaging, Monash University, Melbourne, Australia.
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35
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Seven-Day Pedometer-Assessed Step Counts and Brain Volume: A Population-Based Observational Study. J Phys Act Health 2021; 18:157-164. [PMID: 33429361 DOI: 10.1123/jpah.2019-0659] [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: 12/13/2019] [Revised: 08/05/2020] [Accepted: 10/20/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND To investigate the association between step counts and brain volumes (BVs)-global and 6 a priori selected cognition-related regions of interest-in Japanese men aged 40-79 years. METHODS The authors analyzed data from 680 cognitively intact participants of the Shiga Epidemiological Study of Subclinical Atherosclerosis-a population-based observational study. Using multivariable linear regression, the authors assessed cross-sectional associations between 7-day step counts at baseline (2006-2008) and BVs at follow-up (2012-2015) for age-stratified groups (<60 y and ≥60 y). RESULTS In the older adults ≥60 years, step counts at baseline (per 1000 steps) were associated with total BV at follow-up (β = 1.42, P = .022) while adjusted for potential covariates. Regions of interest-based analyses yielded an association of step counts with both prefrontal cortexes (P < .05) in older adults, while the left entorhinal cortex showed marginally significant association (P = .05). No association was observed with hippocampus, parahippocampal, cingulum, and cerebellum. No association was observed in younger adults (<60 y). CONCLUSIONS The authors found a positive association between 7-day step counts and BVs, including prefrontal cortexes, and left entorhinal cortex in apparently healthy Japanese men.
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36
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Anson E, Ehrenburg MR, Simonsick EM, Agrawal Y. Association between vestibular function and rotational spatial orientation perception in older adults. J Vestib Res 2021; 31:469-478. [PMID: 33579887 PMCID: PMC11172369 DOI: 10.3233/ves-201582] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Spatial orientation is a complex process involving vestibular sensory input and possibly cognitive ability. Previous research demonstrated that rotational spatial orientation was worse for individuals with profound bilateral vestibular dysfunction. OBJECTIVE Determine whether rotational and linear vestibular function were independently associated with large amplitude rotational spatial orientation perception in healthy aging. METHODS Tests of rotational spatial orientation accuracy and vestibular function [vestibulo-ocular reflex (VOR), ocular and cervical vestibular evoked myogenic potentials (VEMP)] were administered to 272 healthy community-dwelling adults participating in the Baltimore Longitudinal Study of Aging. Using a mixed model multiple linear regression we regressed spatial orientation errors on lateral semicircular canal function, utricular function (ocular VEMP), and saccular function (cervical VEMP) in a single model controlling for rotation size, age, and sex. RESULTS After adjusting for age, and sex, individuals with bilaterally low VOR gain (β= 20.9, p = 0.014) and those with bilaterally absent utricular function (β= 9.32, p = 0.017) made significantly larger spatial orientation errors relative to individuals with normal vestibular function. CONCLUSIONS The current results demonstrate for the first time that either bilateral lateral semicircular canal dysfunction or bilateral utricular dysfunction are associated with worse rotational spatial orientation. We also demonstrated in a healthy aging cohort that increased age also contributes to spatial orientation ability.
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Affiliation(s)
- E Anson
- Department of Otolaryngology - Head & Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Otolaryngology, University of Rochester, Rochester, NY, USA
| | - M R Ehrenburg
- Department of Otolaryngology - Head & Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - E M Simonsick
- Longitudinal Studies Section, National Institute on Aging, Baltimore, MD, USA
| | - Y Agrawal
- Department of Otolaryngology - Head & Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Habich A, Fehér KD, Antonenko D, Boraxbekk CJ, Flöel A, Nissen C, Siebner HR, Thielscher A, Klöppel S. Stimulating aged brains with transcranial direct current stimulation: Opportunities and challenges. Psychiatry Res Neuroimaging 2020; 306:111179. [PMID: 32972813 DOI: 10.1016/j.pscychresns.2020.111179] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 06/30/2020] [Accepted: 09/03/2020] [Indexed: 02/06/2023]
Abstract
Ageing involves significant neurophysiological changes that are both systematic while at the same time exhibiting divergent trajectories across individuals. These changes underlie cognitive impairments in elderly while also affecting the response of aged brains to interventions like transcranial direct current stimulation (tDCS). While the cognitive benefits of tDCS are more variable in elderly, older adults also respond differently to stimulation protocols compared to young adults. The age-related neurophysiological changes influencing the responsiveness to tDCS remain to be addressed in-depth. We review and discuss the premise that, in comparison to the better calibrated brain networks present in young adults, aged systems perform further away from a homoeostatic set-point. We argue that this age-related neurophysiological deviation from the homoeostatic optimum extends the leeway for tDCS to modulate the aged brain. This promotes the potency of immediate tDCS effects to induce directional plastic changes towards the homoeostatic equilibrium despite the impaired plasticity induction in elderly. We also consider how age-related neurophysiological changes pose specific challenges for tDCS that necessitate proper adaptations of stimulation protocols. Appreciating the distinctive properties of aged brains and the accompanying adjustment of stimulation parameters can increase the potency and reliability of tDCS as a treatment avenue in older adults.
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Affiliation(s)
- Annegret Habich
- University Hospital of Old Age Psychiatry and Psychotherpa, University of Bern, Bolligenstrasse 111, 3000 Bern, Switzerland; Faculty of Biology, University of Freiburg, Schänzlestrasse 1, 79104 Freiburg, Germany.
| | - Kristoffer D Fehér
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, 3000 Bern, Switzerland
| | - Daria Antonenko
- Department of Neurology, University of Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany
| | - Carl-Johan Boraxbekk
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Østvej, 2650 Hvidovre, Denmark; Department of Radiation Sciences, Umeå University, 90187 Umeå, Sweden; Institute of Sports Medicine Copenhagen (ISMC), Copenhagen University Hospital Bispebjerg, Bispebjerg Bakke 23, 2400 Copenhagen, Denmark
| | - Agnes Flöel
- Department of Neurology, University of Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany; German Center for Neurodegenerative Diseases, Ellernholzstraße 1-2, 17489 Greifswald, Germany
| | - Christoph Nissen
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bolligenstrasse 111, 3000 Bern, Switzerland; Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Freiburg, Hauptstraße 5, 79104 Freiburg, Germany
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Østvej, 2650 Hvidovre, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg, Bispebjerg Bakke 23, 2400 Copenhagen, Denmark; Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Nørre Allé 20, 2200 Copenhagen, Denmark
| | - Axel Thielscher
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Østvej, 2650 Hvidovre, Denmark; Department of Electrical Engineering, Technical University of Denmark, Ørsteds Pl. 348, 2800 Kgs. Lyngby, Denmark
| | - Stefan Klöppel
- University Hospital of Old Age Psychiatry and Psychotherpa, University of Bern, Bolligenstrasse 111, 3000 Bern, Switzerland
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The association of dietary patterns with cognition through the lens of neuroimaging-a Systematic review. Ageing Res Rev 2020; 63:101145. [PMID: 32818651 DOI: 10.1016/j.arr.2020.101145] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 06/30/2020] [Accepted: 08/10/2020] [Indexed: 12/30/2022]
Abstract
Despite the reported benefits of diet on cognition in older adults, randomized controlled trials (RCT) testing the impact of dietary interventions on cognitive scores have yielded less promising results when cognition was assessed via neuropsychological tests. More recently, neuroimaging has been used to identify more subtle brain-related changes associated to cognition. Hence, employing a combination of neuroimaging techniques with neuropsychological tests could clarify this controversy. To determine the effect of diet on cognitive performance, we conducted a systematic review of PubMed and Scopus databases for all studies, on middle-aged and older adults, combining neuroimaging, neuropsychological tests, and data on dietary patterns. The inclusion criteria were met by 14 observational studies and no RCTs. The range of brain measures assessed varied from volumes to white matter integrity, functional connectivity, brain glucose metabolism and beta-amyloid deposition. Given the variability of methods used in assessing cognitive performance, diet and brain correlates, conducting a meta-analysis was not possible. Here the evidence suggests that, in observational studies, dietary patterns may be associated with brain correlates that have been shown to precede cognitive decline. As such, neuroimaging should be included in future RCTs to identify any benefits of diet on brain measures linked with cognitive health.
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de Souza NL, Parker R, Gonzalez CS, Ryan JD, Esopenko C. Effect of age at time of injury on long-term changes in intrinsic functional connectivity in traumatic brain injury. Brain Inj 2020; 34:1646-1654. [PMID: 33090913 DOI: 10.1080/02699052.2020.1832257] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND Alterations in resting-state functional connectivity (rsFC) occur in the acute and chronic phases following traumatic brain injury (TBI); however, few studies have assessed long-term (>1 year) changes in rsFC. METHODS Resting-state functional magnetic resonance imaging (rsfMRI) scans were obtained from the Federal Interagency Traumatic Brain Injury Research Informatics Systems. Patients with primarily mild TBI (n = 39) completed rsfMRI scans at the sub-acute (~10 days) and long-term (~18 months) phases. We examined changes in voxel-based rsFC from anterior medial prefrontal cortex (aMPFC) and posterior cingulate cortex (PCC) seeds in the default mode network (DMN) between both phases. The effect of age at the time of injury on long-term rsFC was also examined. RESULTS Increased rsFC from the aMPFC and the PCC to frontal and temporal regions was shown at ~18-months post-injury. Widespread increases in rsFC from the aMPFC and between the PCC and frontal regions were shown for younger patients at time of injury, but limited increases of rsFC were noted at ~18 months in older patients. CONCLUSION Long-term increases in rsFC were found following TBI, but age at the time of injury was associated with distinct rsFC profiles suggesting that younger patients show greater increases in rsFC over time.
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Affiliation(s)
- Nicola L de Souza
- School of Graduate Studies, Biomedical Sciences, Rutgers Biomedical and Health Sciences , Newark, New Jersey, USA
| | - Rachel Parker
- Rotman Research Institute at Baycrest , Toronto, Ontario, Canada
| | - Christie S Gonzalez
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers Biomedical and Health Sciences , Newark, New Jersey, USA
| | - Jennifer D Ryan
- Rotman Research Institute at Baycrest , Toronto, Ontario, Canada.,Department of Psychology, University of Toronto , Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto , Toronto, Ontario, Canada
| | - Carrie Esopenko
- Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers Biomedical and Health Sciences , Newark, New Jersey, USA
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Marstaller L, Fynes-Clinton S, Burianová H, Reutens DC. Salience and default-mode network connectivity during threat and safety processing in older adults. Hum Brain Mapp 2020; 42:14-23. [PMID: 32936998 PMCID: PMC7721242 DOI: 10.1002/hbm.25199] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 08/14/2020] [Accepted: 08/19/2020] [Indexed: 11/10/2022] Open
Abstract
The appropriate assessment of threat and safety is important for decision‐making but might be altered in old age due to neurobiological changes. The literature on threat and safety processing in older adults is sparse and it is unclear how healthy ageing affects the brain's functional networks associated with affective processing. We measured skin conductance responses as an indicator of sympathetic arousal and used functional magnetic resonance imaging and independent component analysis to compare young and older adults' functional connectivity in the default mode (DMN) and salience networks (SN) during a threat conditioning and extinction task. While our results provided evidence for differential threat processing in both groups, they also showed that functional connectivity within the SN – but not the DMN – was weaker during threat processing in older compared to young adults. This reduction of within‐network connectivity was accompanied by an age‐related decrease in low frequency spectral power in the SN and a reduction in inter‐network connectivity between the SN and DMN during threat and safety processing. Similarly, we found that skin conductance responses were generally lower in older compared to young adults. Our results are the first to demonstrate age‐related changes in brain activation during aversive conditioning and suggest that the ability to adaptively filter affective information is reduced in older adults.
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Affiliation(s)
- Lars Marstaller
- Department of Psychology, Bournemouth University, Bournemouth, UK.,Department of Psychology, Swansea University, Swansea, UK.,Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | | | - Hana Burianová
- Department of Psychology, Bournemouth University, Bournemouth, UK.,Department of Psychology, Swansea University, Swansea, UK.,Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | - David C Reutens
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
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Oschmann M, Gawryluk JR. A Longitudinal Study of Changes in Resting-State Functional Magnetic Resonance Imaging Functional Connectivity Networks During Healthy Aging. Brain Connect 2020; 10:377-384. [PMID: 32623915 DOI: 10.1089/brain.2019.0724] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Background: Vast increases in life expectancy over the last century have led to shifts in population demographics and the emergence of a largely aged population, globally. This has led to a need to understand neurobiological changes associated with healthy aging. Studies on age-related changes in functional connectivity networks have largely been cross-sectional and focused on the default mode network (DMN). The current study investigated longitudinal changes in functional connectivity in multiple resting-state networks over 4 years of aging in cognitively normal older adults. Methods: Resting-state functional magnetic resonance imaging scans from older adults (n = 16) who maintained "cognitive normal" status over 4 years were retrieved at baseline and follow-up from the Alzheimer's Disease Neuroimaging Initiative database. A seed-based approach was executed in Functional MRI of the Brain Software Library (FSL) to examine significant changes in functional connectivity within the DMN, frontoparietal network (FPN), and salience network (SN) within subjects over time. Results: Results indicated significantly (p < 0.05, corrected) reduced functional connectivity in the FPN and SN, but not in the DMN at year 4 compared with baseline in older adults who were cognitively stable. Conclusions: The current study highlights the importance of a longitudinal approach for understanding changes in functional connectivity. The findings also underscore the need to examine multiple networks within the same participants, given that changes were apparent in the FPN and SN but not in the DMN. Future studies should also examine changes in internetwork connectivity as well as shifts in structural connectivity over time. Impact statement Investigations of age-related changes in functional connectivity have largely been cross-sectional and focused on the default mode network (DMN). The current study examined the DMN as well as the frontoparietal network (FN) and salience network (SN), in a group of healthy aging adults over four years. The results revealed decreased functional connectivity over time, in the FN and SN, but not the DMN. These findings provide insights about the healthy aging brain. They also underscore the need to broaden the scope of functional connectivity analyses beyond the DMN and highlight the use of longitudinal methods.
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Affiliation(s)
- Meike Oschmann
- Faculty of Medicine, University of Cologne, Köln, Germany.,Department of Psychology, University of Victoria, Victoria, British Columbia, Canada
| | - Jodie R Gawryluk
- Department of Psychology, University of Victoria, Victoria, British Columbia, Canada.,Institute on Aging and Lifelong Health, University of Victoria, British Columbia, Canada.,Division of Medical Sciences, University of Victoria, British Columbia, Canada
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Nußbaum R, Lucht S, Jockwitz C, Moebus S, Engel M, Jöckel KH, Caspers S, Hoffmann B. Associations of Air Pollution and Noise with Local Brain Structure in a Cohort of Older Adults. ENVIRONMENTAL HEALTH PERSPECTIVES 2020; 128:67012. [PMID: 32539589 PMCID: PMC7295241 DOI: 10.1289/ehp5859] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
BACKGROUND Despite the importance of understanding associations of air pollution and noise exposure with loss of neurocognitive performance, studies investigating these exposures and local brain structure are limited. OBJECTIVE We estimated associations of residential air pollution and noise exposures with neurocognitive test performance and the local gyrification index (lGI), a marker for local brain atrophy, among older adults. METHODS For n=615 participants from the population-based 1000BRAINS study, based on the German Heinz Nixdorf Recall study, we assessed residential exposures to particulate matter (PM10, PM2.5, PM2.5abs), accumulation mode particle number (PNAM), and nitrogen oxides (NOx, NO2), using land-use regression and chemistry transport models. Weighted 24-h and nighttime noise were modeled according to the European noise directive. We evaluated associations of air pollution and noise exposure at the participants' 2006-2008 residential addresses with neurocognitive test performance and region-specific lGI values (n=590) from magnetic resonance imaging, both assessed in 2011-2015, using linear regression and adjusting for demographic and personal characteristics. RESULTS Air pollution and noise were associated with language and short-term/working memory and with local atrophy of the fronto-parietal network (FPN), a functional resting-state network associated with these cognitive processes. For example, per 2-μg/m3 PM10, local brain atrophy was more pronounced in the posterior brain regions of the FPN, with a -0.02 [95% confidence interval (CI): -0.04, 0.00] lower lGI. In contrast, in the anterior regions of the FPN, weighted 24-h and nighttime noise were associated with less local brain atrophy [e.g., 0.02 (95% CI: 0.00, 0.04) for 10 dB(A) 24-h noise]. CONCLUSIONS Air pollution and noise exposures were associated in opposite directions with markers of local atrophy of the FPN in the right brain hemisphere in older adults, suggesting that both chronic air pollution and noise exposure may influence the physiological aging process of the brain. https://doi.org/10.1289/EHP5859.
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Affiliation(s)
- René Nußbaum
- Institute for Anatomy I, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany
- Environmental Epidemiology Group, Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Sarah Lucht
- Environmental Epidemiology Group, Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Medical Statistics, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, Rheinisch-Westfälische Technische Hochschule Aachen University, Aachen, Germany
| | - Susanne Moebus
- Centre for Urban Epidemiology, Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Miriam Engel
- Centre for Urban Epidemiology, Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Svenja Caspers
- Institute for Anatomy I, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany
- Jülich-Aachen Research Alliance (JARA)-BRAIN, JARA, Jülich, Germany
| | - Barbara Hoffmann
- Environmental Epidemiology Group, Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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43
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Teissier T, Boulanger E, Deramecourt V. Normal ageing of the brain: Histological and biological aspects. Rev Neurol (Paris) 2020; 176:649-660. [PMID: 32418702 DOI: 10.1016/j.neurol.2020.03.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 03/20/2020] [Accepted: 03/23/2020] [Indexed: 02/02/2023]
Abstract
All the hallmarks of ageing are observed in the brain, and its cells, especially neurons, are characterized by their remarkably long lifetime. Like any organ or system, the brain is exposed to ageing processes which affect molecules, cells, blood vessels, gross morphology and, uniquely for this organ, cognition. The preponderant cerebral structures are characterized by the cellular processes of neurons and glial cells and while the quantity of cerebral interstitial fluid is limited, it is now recognized as playing a crucial role in maintaining cerebral homeostasis. Most of our current knowledge of the ageing brain derives from studies of neurodegenerative disorders. It is interesting to note that common features of these disorders, like Tau, phosphoTau and amyloid peptide accumulation, can begin relatively early in life as a result of physiological ageing and are present in subclinical cases while also being used as early-stage markers of neurodegenerative diseases in progression. In this article, we review tissue and cellular modifications in the ageing brain. Commonly described macroscopic, microscopic and vascular changes that in the ageing brain are contrasted with those seen in neurodegenerative contexts. We also review the molecular changes that occur with age in the brain, such as modifications in gene expression, insulin/insulin-like growth factor 1 signalling dysfunction, post-translational protein modifications, mitochondrial dysfunction, autophagy and calcium conductance changes.
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Affiliation(s)
- T Teissier
- Inserm, université de Lille, CHU de Lille, Institut Pasteur de Lille, U1167 - RID-AGE - facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, équipe « de l'inflammation au vieillissement, 59000 Lille, France.
| | - E Boulanger
- Inserm, université de Lille, CHU de Lille, Institut Pasteur de Lille, U1167 - RID-AGE - facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, équipe « de l'inflammation au vieillissement, 59000 Lille, France; Pôle de gérontologie, CHU de Lille, 59000 Lille, France
| | - V Deramecourt
- Inserm, UMR-S 1172 « Alzheimer et Tauopathies », centre mémoire de ressources et de recherche, Labex DISTALZ, université de Lille, CHU de Lille, 59000 Lille, France; Pôle de neurologie, CHU de Lille, 59000 Lille, France
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44
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Hayek D, Thams F, Flöel A, Antonenko D. Dentate Gyrus Volume Mediates the Effect of Fornix Microstructure on Memory Formation in Older Adults. Front Aging Neurosci 2020; 12:79. [PMID: 32265687 PMCID: PMC7098987 DOI: 10.3389/fnagi.2020.00079] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Accepted: 03/04/2020] [Indexed: 12/25/2022] Open
Abstract
Age-related deterioration in white and gray matter is linked to cognitive deficits. Reduced microstructure of the fornix, the major efferent pathway of the hippocampus, and volume of the dentate gyrus (DG), may cause age-associated memory decline. However, the linkage between these anatomical determinants and memory retrieval in healthy aging are poorly understood. In 30 older adults, we acquired diffusion tensor and T1-weighted images for individual deterministic tractography and volume estimation. A memory task, administered outside of the scanner to assess retrieval of learned associations, required discrimination of previously acquired picture-word pairs. The results showed that fornix fractional anisotropy (FA) and left DG volumes were related to successful retrieval. These brain-behavior associations were observed for correct rejections, but not hits, indicating specificity of memory network functioning for detecting false associations. Mediation analyses showed that left DG volume mediated the effect of fornix FA on memory (48%), but not vice versa. These findings suggest that reduced microstructure induces volume loss and thus negatively affects retrieval of learned associations, complementing evidence of a pivotal role of the fornix in healthy aging. Our study offers a neurobehavioral model to explain variability in memory retrieval in older adults, an important prerequisite for the development of interventions to counteract cognitive decline.
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Affiliation(s)
- Dayana Hayek
- Department of Neurology, NeuroCure Clinical Research Center, Berlin Institute of Health, Corporate Member of Freie Universität Berlin, Charité - Universitätsmedizin Berlin, Humboldt-Universität Berlin, Berlin, Germany.,Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Friederike Thams
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Agnes Flöel
- Department of Neurology, NeuroCure Clinical Research Center, Berlin Institute of Health, Corporate Member of Freie Universität Berlin, Charité - Universitätsmedizin Berlin, Humboldt-Universität Berlin, Berlin, Germany.,Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany.,German Centre for Neurodegenerative Diseases (DZNE) Standort Greifswald, Greifswald, Germany
| | - Daria Antonenko
- Department of Neurology, NeuroCure Clinical Research Center, Berlin Institute of Health, Corporate Member of Freie Universität Berlin, Charité - Universitätsmedizin Berlin, Humboldt-Universität Berlin, Berlin, Germany.,Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
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45
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Riccardi N, Yourganov G, Rorden C, Fridriksson J, Desai R. Degradation of Praxis Brain Networks and Impaired Comprehension of Manipulable Nouns in Stroke. J Cogn Neurosci 2020; 32:467-483. [PMID: 31682566 PMCID: PMC10274171 DOI: 10.1162/jocn_a_01495] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Distributed brain systems contribute to representation of semantic knowledge. Whether sensory and motor systems of the brain are causally involved in representing conceptual knowledge is an especially controversial question. Here, we tested 57 chronic left-hemisphere stroke patients using a semantic similarity judgment task consisting of manipulable and nonmanipulable nouns. Three complementary methods were used to assess the neuroanatomical correlates of semantic processing: voxel-based lesion-symptom mapping, resting-state functional connectivity, and gray matter fractional anisotropy. The three measures provided converging evidence that injury to the brain networks required for action observation, execution, planning, and visuomotor coordination are associated with specific deficits in manipulable noun comprehension relative to nonmanipulable items. Damage or disrupted connectivity of areas such as the middle posterior temporal gyrus, anterior inferior parietal lobe, and premotor cortex was related specifically to the impairment of manipulable noun comprehension. These results suggest that praxis brain networks contribute especially to the comprehension of manipulable object nouns.
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46
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Allali G, Montembeault M, Brambati SM, Bherer L, Blumen HM, Launay CP, Liu-Ambrose T, Helbostad JL, Verghese J, Beauchet O. Brain Structure Covariance Associated With Gait Control in Aging. J Gerontol A Biol Sci Med Sci 2020; 74:705-713. [PMID: 29846517 DOI: 10.1093/gerona/gly123] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Structural and functional brain imaging methods have identified age-related changes in brain structures involved in gait control. This cross-sectional study aims to investigate gray matter networks associated with gait control in aging using structural covariance analysis. METHODS Walking speed were measured in 326 nondemented older community-dwellers (age 71.3 ± 4.5; 41.7% female) under three different walking conditions: normal walking and two challenging tasks: motor (ie, fast speed) and an attention-demanding dual task (ie, backward counting). RESULTS Three main individual gray matter regions were positively correlated with walking speed (ie, slower walking speed was associated with lower brain volumes): right thalamus, right caudate nucleus, and left middle frontal gyrus for normal walking, rapid walking, and dual-task walking condition, respectively. The structural covariance analysis revealed that prefrontal regions were part of the networks associated with every walking condition; the right caudate was associated specifically with the hippocampus, amygdala and insula for the rapid walking condition, and the left middle frontal gyrus with a network involving the cuneus for the dual-task condition. CONCLUSION Our results suggest that brain networks associated with gait control vary according to walking speed and depend on each walking condition. Gait control in aging involved a distributed network including regions for emotional control that are recruited in challenging walking conditions.
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Affiliation(s)
- Gilles Allali
- Department of Neurology, Geneva University Hospital, University of Geneva, Switzerland.,Department of Neurology, Division of Cognitive & Motor Aging, Albert Einstein College of Medicine, Yeshiva University, Bronx, New York
| | - Maxime Montembeault
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Quebec, Canada.,Département de psychologie, Institut de cardiologie de Montréal et centre EPIC, Université de Montreal, Quebec, Canada
| | - Simona M Brambati
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Quebec, Canada
| | - Louis Bherer
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Quebec, Canada.,Département de Médecine, Institut de cardiologie de Montréal et centre EPIC, Université de Montreal, Quebec, Canada
| | - Helena M Blumen
- Departments of Neurology and Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Cyrille P Launay
- Division of Geriatric Medicine and Geriatric Rehabilitation, Department of Medicine, Lausanne University Hospital, Switzerland
| | - Teresa Liu-Ambrose
- Aging, Mobility and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver, Canada
| | - Jorunn L Helbostad
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Joe Verghese
- Departments of Neurology and Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Olivier Beauchet
- Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis - Jewish General Hospital and Lady Davis Institute for Medical Research, Montreal, Quebec, Canada.,Dr. Joseph Kaufmann Chair in Geriatric Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.,Centre of Excellence on Aging and Chronic Diseases of McGill Integrated University Health Network, Montreal, Quebec, Canada
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47
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Vieira BH, Rondinoni C, Garrido Salmon CE. Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis. Neuroimage 2020; 211:116662. [PMID: 32088317 DOI: 10.1016/j.neuroimage.2020.116662] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 01/14/2020] [Accepted: 02/15/2020] [Indexed: 11/26/2022] Open
Abstract
Normal aging incurs functional and anatomical alterations in the brain. Cortical thinning, age-related alterations in resting-state functional connectivity (RSFC) and reductions in fractional amplitude of low frequency fluctuations (fALFF) are key components of brain aging that can be studied by neuroimaging. However, the level of association between these processes has not been fully established. We performed an analysis at multiple-levels, i.e. region or connection and modality, to investigate whether the evidence for the effect of aging on fALFF, RSFC and cortical thickness are associated in a large cohort. Our results show that there is a positive association between the level of evidence of age-related effects in all three in the brain. We also demonstrate that on a regional basis the association between RSFC alterations and cortical atrophy may be either positive or negative, which may relate to compensatory mechanisms predicted by the Scaffolding Theory of Aging and Cognition (STAC).
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Affiliation(s)
- Bruno Hebling Vieira
- InBrain Lab, Departamento de Física, Universidade de São Paulo, Ribeirão Preto, Brazil.
| | - Carlo Rondinoni
- InBrain Lab, Departamento de Física, Universidade de São Paulo, Ribeirão Preto, Brazil.
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Crespi C, Galandra C, Canessa N, Manera M, Poggi P, Basso G. Microstructural damage of white-matter tracts connecting large-scale networks is related to impaired executive profile in alcohol use disorder. Neuroimage Clin 2019; 25:102141. [PMID: 31927501 PMCID: PMC6953958 DOI: 10.1016/j.nicl.2019.102141] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 12/18/2019] [Accepted: 12/21/2019] [Indexed: 12/16/2022]
Abstract
Alcohol Use Disorders (AUD) is associated with negative consequences on global functioning, likely reflecting chronic changes in brain morphology and connectivity. Previous attempts to characterize cognitive impairment in AUD addressed patients' performance in single domains, without considering their cognitive profile as a whole. While altered cognitive performance likely reflects abnormal white-matter microstructural properties, to date no study has directly addressed the relationship between a proxy of patients' cognitive profile and microstructural damage. To fill this gap we aimed to characterize the microstructural damage pattern, and its relationship with cognitive profile, in treatment-seeking AUD patients. Twenty-two AUD patients and 18 healthy controls underwent a multimodal MRI protocol including diffusion tensor imaging (DTI), alongside a comprehensive neurocognitive assessment. We used a principal component analysis (PCA) to identify superordinate components maximally explaining variability in cognitive performance, and whole-brain voxelwise analyses to unveil the neural correlates of AUD patients' cognitive impairment in terms of different white-matter microstructural features, i.e. fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD). PCA revealed a basic executive component, significantly impaired in AUD patients, associated with tasks tapping visuo-motor processing speed, attention and working-memory. Within a widespread pattern of white-matter damage in patients, we found diverse types of relationship linking WM microstructure and executive performance: (i) in the whole sample, we observed a linear relationship involving MD/RD metrics within both 'superficial' white-matter systems mediating connectivity within large-scale brain networks, and deeper systems modulating their reciprocal connections; (ii) in AUD patients vs. controls, a performance-by-group interaction highlighted a MD/AD pattern involving two frontal white-matter systems, including the genu of corpus callosum and cingulum bundle, mediating structural connectivity among central executive, salience and default mode networks. Alterations of prefrontal white-matter pathways are suggestive of abnormal structural connectivity in AUD, whereby a defective interplay among large-scale networks underpins patients' executive dysfunction. These findings highlight different directions for future basic and translational research aiming to tailor novel rehabilitation strategies and assess their functional outcomes.
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Affiliation(s)
- Chiara Crespi
- Scuola Universitaria Superiore IUSS Pavia, Piazza della Vittoria 15 27100, Pavia, Italy; Cognitive Neuroscience Laboratory, IRCCS ICS Maugeri, 27100, Pavia, Italy.
| | - Caterina Galandra
- Cognitive Neuroscience Laboratory, IRCCS ICS Maugeri, 27100, Pavia, Italy
| | - Nicola Canessa
- Scuola Universitaria Superiore IUSS Pavia, Piazza della Vittoria 15 27100, Pavia, Italy; Cognitive Neuroscience Laboratory, IRCCS ICS Maugeri, 27100, Pavia, Italy
| | - Marina Manera
- Psychology Unit, IRCCS ICS Maugeri, 27100, Pavia, Italy
| | - Paolo Poggi
- Radiology Unit, IRCCS ICS Maugeri, 27100, Pavia, Italy
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Crespi C, Galandra C, Manera M, Basso G, Poggi P, Canessa N. Executive Impairment in Alcohol Use Disorder Reflects Structural Changes in Large-Scale Brain Networks: A Joint Independent Component Analysis on Gray-Matter and White-Matter Features. Front Psychol 2019; 10:2479. [PMID: 32038340 PMCID: PMC6988803 DOI: 10.3389/fpsyg.2019.02479] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 10/21/2019] [Indexed: 12/28/2022] Open
Abstract
Alcohol Use Disorder (AUD) entails chronic effects on brain structure. Neurodegeneration due to alcohol toxicity is a neural signature of executive impairment typically observed in AUD, previously related to both gray-matter volume/density and white-matter abnormalities. Recent studies highlighted the role of meso-cortico-limbic structures supporting the salience and executive networks, in which the extent of neurostructural damage is significantly related to patients’ executive performance. Here we aim to integrate multimodal information on gray-matter and white-matter features with a multivariate data-driven approach (joint Independent Component Analysis, jICA), and to assess the relationship between the extent of damage in the resulting neurostructural superordinate components and executive profile in AUD. Twenty-two AUD patients and 18 matched healthy controls (HC) underwent a Magnetic Resonance Imaging (MRI) protocol, alongside clinical and neuropsychological examinations. We ran jICA on five neurostructural features, including gray-matter density and different diffusion tensor imaging metrics. We extracted 12 Independent Components (ICs) and compared the resulting mixing coefficients in patients vs. HC. Finally, we correlated significant ICs with executive and clinical variables. One out of 12 ICs (IC11) discriminated patients from healthy controls and correlated positively both with executive performance in all subjects, and with lifetime duration of alcohol abuse in patients. In line with previous related evidence, this component involved widespread gray-matter and white-matter patterns including key nodes and fiber tracts of salience, default-mode and central executive networks. These findings highlighted the role of multivariate data integration as a valuable approach revealing superordinate hallmarks of neural changes related to cognition in neurological and psychiatric populations.
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Affiliation(s)
- Chiara Crespi
- NEtS Center, Scuola Universitaria Superiore Istituto Universitario di Studi Superiori Pavia, Pavia, Italy.,Cognitive Neuroscience Laboratory, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy
| | - Caterina Galandra
- Cognitive Neuroscience Laboratory, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy
| | - Marina Manera
- Psychology Unit, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy
| | | | - Paolo Poggi
- Radiology Unit, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy
| | - Nicola Canessa
- NEtS Center, Scuola Universitaria Superiore Istituto Universitario di Studi Superiori Pavia, Pavia, Italy.,Cognitive Neuroscience Laboratory, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy
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50
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Sie JH, Chen YH, Shiau YH, Chu WC. Gender- and Age-Specific Differences in Resting-State Functional Connectivity of the Central Autonomic Network in Adulthood. Front Hum Neurosci 2019; 13:369. [PMID: 31680919 PMCID: PMC6811649 DOI: 10.3389/fnhum.2019.00369] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 09/30/2019] [Indexed: 12/30/2022] Open
Abstract
Previous functional imaging studies have identified the role of central autonomic network (CAN) in autonomic regulation during various tasks. However, its variability with respect to gender and age, particularly in the resting state, remains poorly understood. Therefore, in this study we systematically investigated gender- and age-related differences in the resting-state functional connectivity (rsFC) seeded from core regions of this network, namely posterior mid-cingulate gyrus (pMCC), left amygdala, right anterior and left posterior insula, and ventromedial prefrontal cortex (vmPFC), using a large cross-sectional adulthood sample. Results revealed that each of the seeded connectivity maps engaged in at least one of the large-scale brain networks including sensorimotor, attentional, basal ganglia, limbic, and default mode networks (DMN). In the early-adulthood stage, females had stronger negative rsFC in pMCC and right anterior INS (aINS) with the medial DMN than males, possibly reflecting their greater suppression of the sympathoexcitation associated with sex hormonal estrogen. Whereas in the late-adulthood stage, they showed stronger positive rsFC in pMCC with postcentral gyrus and weaker negative rsFC with the most DMN, possibly relating to their higher risk of depression, anxiety, and dementia than males after menopause. Moreover, females demonstrated reduced negative rsFC in pMCC with dorsal PCUN/PCC and left AG with advancing age, whereas males showed the opposite pattern, namely increased positive rsFC, in pMCC with right SMG, and in vmPFC with ventral PCUN. We interpret these results as their differences of altered autonomic regulation associated with pain experience and reflective movement, respectively, due to aging. In sum, our findings add in literature that autonomic responses can be also represented intrinsically in the resting brain, and gender- and age-related differences might be associated with sex hormones and sensorimotor abilities, respectively.
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Affiliation(s)
- Jia-Hong Sie
- Department of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan
| | - Yin-Hua Chen
- Research Center for Mind, Brain and Learning, National Chengchi University, Taipei, Taiwan
| | - Yuo-Hsien Shiau
- Research Center for Mind, Brain and Learning, National Chengchi University, Taipei, Taiwan.,Graduate Institute of Applied Physics, National Chengchi University, Taipei, Taiwan
| | - Woei-Chyn Chu
- Department of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan
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