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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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2
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Ourry V, Binette AP, St-Onge F, Strikwerda-Brown C, Chagnot A, Poirier J, Breitner J, Arenaza-Urquijo EM, Rabin JS, Buckley R, Gonneaud J, Marchant NL, Villeneuve S. How Do Modifiable Risk Factors Affect Alzheimer's Disease Pathology or Mitigate Its Effect on Clinical Symptom Expression? Biol Psychiatry 2024; 95:1006-1019. [PMID: 37689129 DOI: 10.1016/j.biopsych.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 08/11/2023] [Accepted: 09/03/2023] [Indexed: 09/11/2023]
Abstract
Epidemiological studies show that modifiable risk factors account for approximately 40% of the population variability in risk of developing dementia, including sporadic Alzheimer's disease (AD). Recent findings suggest that these factors may also modify disease trajectories of people with autosomal-dominant AD. With positron emission tomography imaging, it is now possible to study the disease many years before its clinical onset. Such studies can provide key knowledge regarding pathways for either the prevention of pathology or the postponement of its clinical expression. The former "resistance pathway" suggests that modifiable risk factors could affect amyloid and tau burden decades before the appearance of cognitive impairment. Alternatively, the resilience pathway suggests that modifiable risk factors may mitigate the symptomatic expression of AD pathology on cognition. These pathways are not mutually exclusive and may appear at different disease stages. Here, in a narrative review, we present neuroimaging evidence that supports both pathways in sporadic AD and autosomal-dominant AD. We then propose mechanisms for their protective effect. Among possible mechanisms, we examine neural and vascular mechanisms for the resistance pathway. We also describe brain maintenance and functional compensation as bases for the resilience pathway. Improved mechanistic understanding of both pathways may suggest new interventions.
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Affiliation(s)
- Valentin Ourry
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada.
| | - Alexa Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; Clinical Memory Research Unit, Department of Clinical Sciences, Lunds Universitet, Malmö, Sweden
| | - Frédéric St-Onge
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Cherie Strikwerda-Brown
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; School of Psychological Science, The University of Western Australia, Perth, Western Australia, Australia
| | - Audrey Chagnot
- UK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, United Kingdom; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Judes Poirier
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - John Breitner
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Eider M Arenaza-Urquijo
- Environment and Health over the Lifecourse Programme, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - Jennifer S Rabin
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada; Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada
| | - Rachel Buckley
- Melbourne School of Psychological Sciences University of Melbourne, Parkville, Victoria, Australia; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Julie Gonneaud
- Normandie University, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders," Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, Caen, France
| | - Natalie L Marchant
- Division of Psychiatry, University College London, London, United Kingdom
| | - Sylvia Villeneuve
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
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3
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Liebscher M, Dell’Orco A, Doll-Lee J, Buerger K, Dechent P, Ewers M, Fliessbach K, Glanz W, Hetzer S, Janowitz D, Kilimann I, Laske C, Lüsebrink F, Munk M, Perneczky R, Peters O, Preis L, Priller J, Rauchmann B, Rostamzadeh A, Roy-Kluth N, Scheffler K, Schneider A, Schott BH, Spottke A, Spruth E, Teipel S, Wiltfang J, Jessen F, Düzel E, Wagner M, Röske S, Wirth M. Short communication: Lifetime musical activity and resting-state functional connectivity in cognitive networks. PLoS One 2024; 19:e0299939. [PMID: 38696395 PMCID: PMC11065262 DOI: 10.1371/journal.pone.0299939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 02/20/2024] [Indexed: 05/04/2024] Open
Abstract
BACKGROUND Participation in multimodal leisure activities, such as playing a musical instrument, may be protective against brain aging and dementia in older adults (OA). Potential neuroprotective correlates underlying musical activity remain unclear. OBJECTIVE This cross-sectional study investigated the association between lifetime musical activity and resting-state functional connectivity (RSFC) in three higher-order brain networks: the Default Mode, Fronto-Parietal, and Salience networks. METHODS We assessed 130 cognitively unimpaired participants (≥ 60 years) from the baseline cohort of the DZNE-Longitudinal Cognitive Impairment and Dementia Study (DELCODE) study. Lifetime musical activity was operationalized by the self-reported participation in musical instrument playing across early, middle, and late life stages using the Lifetime of Experiences Questionnaire (LEQ). Participants who reported musical activity during all life stages (n = 65) were compared to controls who were matched on demographic and reserve characteristics (including education, intelligence, socioeconomic status, self-reported physical activity, age, and sex) and never played a musical instrument (n = 65) in local (seed-to-voxel) and global (within-network and between-network) RSFC patterns using pre-specified network seeds. RESULTS Older participants with lifetime musical activity showed significantly higher local RSFC between the medial prefrontal cortex (Default Mode Network seed) and temporal as well as frontal regions, namely the right temporal pole and the right precentral gyrus extending into the superior frontal gyrus, compared to matched controls. There were no significant group differences in global RSFC within or between the three networks. CONCLUSION We show that playing a musical instrument during life relates to higher RSFC of the medial prefrontal cortex with distant brain regions involved in higher-order cognitive and motor processes. Preserved or enhanced functional connectivity could potentially contribute to better brain health and resilience in OA with a history in musical activity. TRIAL REGISTRATION German Clinical Trials Register (DRKS00007966, 04/05/2015).
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Affiliation(s)
- Maxie Liebscher
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
| | - Andrea Dell’Orco
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
- Department of Neuroradiology, Charité –Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany
| | - Johanna Doll-Lee
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Peter Dechent
- Department of Cognitive Neurology, MR-Research in Neurosciences, Georg-August-University Goettingen, Göttingen, Germany
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, University of Bonn Medical Center, Bonn, Germany
| | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Stefan Hetzer
- Center for Advanced Neuroimaging, Charité –Universitätsmedizin Berlin, Berlin, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Falk Lüsebrink
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Matthias Munk
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany
- Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, United Kingdom
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Institute of Psychiatry and Psychotherapy, Charité –Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Lukas Preis
- Institute of Psychiatry and Psychotherapy, Charité –Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité –Universitätsmedizin Berlin, Berlin, Germany
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany
- University of Edinburgh and UK DRI, Edinburgh, United Kingdom
| | - Boris Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom
- Department of Neuroradiology, University Hospital LMU, Munich, Germany
| | - Ayda Rostamzadeh
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
| | - Nina Roy-Kluth
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, University of Bonn Medical Center, Bonn, Germany
| | - Björn H. Schott
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, University of Bonn, Bonn, Germany
| | - Eike Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité –Universitätsmedizin Berlin, Berlin, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
- Department of Medical Sciences, Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal
| | - Frank Jessen
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- German Center for Neurodegenerative Diseases (DZNE), Cologne, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, University of Bonn Medical Center, Bonn, Germany
| | - Sandra Röske
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Miranka Wirth
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
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4
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Stevens WD, Khan N, Anderson JAE, Grady CL, Bialystok E. A neural mechanism of cognitive reserve: The case of bilingualism. Neuroimage 2023; 281:120365. [PMID: 37683809 DOI: 10.1016/j.neuroimage.2023.120365] [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: 05/30/2023] [Revised: 09/01/2023] [Accepted: 09/05/2023] [Indexed: 09/10/2023] Open
Abstract
Cognitive Reserve (CR) refers to the preservation of cognitive function in the face of age- or disease-related neuroanatomical decline. While bilingualism has been shown to contribute to CR, the extent to which, and what particular aspect of, second language experience contributes to CR are debated, and the underlying neural mechanism(s) unknown. Intrinsic functional connectivity reflects experience-dependent neuroplasticity that occurs across timescales ranging from minutes to decades, and may be a neural mechanism underlying CR. To test this hypothesis, we used voxel-based morphometry and resting-state functional connectivity analyses of MRI data to compare structural and functional brain integrity between monolingual and bilingual older adults, matched on cognitive performance, and across levels of second language proficiency measured as a continuous variable. Bilingualism, and degree of second language proficiency specifically, were associated with lower gray matter integrity in a hub of the default mode network - a region that is particularly vulnerable to decline in aging and dementia - but preserved intrinsic functional network organization. Bilingualism moderated the association between neuroanatomical differences and cognitive decline, such that lower gray matter integrity was associated with lower executive function in monolinguals, but not bilinguals. Intrinsic functional network integrity predicted executive function when controlling for group differences in gray matter integrity and language status. Our findings confirm that lifelong bilingualism is a CR factor, as bilingual older adults performed just as well as their monolingual peers on tasks of executive function, despite showing signs of more advanced neuroanatomical aging, and that this is a consequence of preserved intrinsic functional network organization.
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Affiliation(s)
- W Dale Stevens
- Department of Psychology, York University, Toronto, Canada.
| | - Naail Khan
- Department of Psychology, York University, Toronto, Canada
| | - John A E Anderson
- Department of Cognitive Science, Carleton University, Ottawa, Canada
| | - Cheryl L Grady
- Rotman Research Institute at Baycrest Hospital, Toronto, Canada; Departments of Psychology and Psychiatry, University of Toronto, Toronto, Canada
| | - Ellen Bialystok
- Department of Psychology, York University, Toronto, Canada; Rotman Research Institute at Baycrest Hospital, Toronto, Canada
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5
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Panigrahy A, Schmithorst V, Ceschin R, Lee V, Beluk N, Wallace J, Wheaton O, Chenevert T, Qiu D, Lee JN, Nencka A, Gagoski B, Berman JI, Yuan W, Macgowan C, Coatsworth J, Fleysher L, Cannistraci C, Sleeper LA, Hoskoppal A, Silversides C, Radhakrishnan R, Markham L, Rhodes JF, Dugan LM, Brown N, Ermis P, Fuller S, Cotts TB, Rodriguez FH, Lindsay I, Beers S, Aizenstein H, Bellinger DC, Newburger JW, Umfleet LG, Cohen S, Zaidi A, Gurvitz M. Design and Harmonization Approach for the Multi-Institutional Neurocognitive Discovery Study (MINDS) of Adult Congenital Heart Disease (ACHD) Neuroimaging Ancillary Study: A Technical Note. J Cardiovasc Dev Dis 2023; 10:381. [PMID: 37754810 PMCID: PMC10532244 DOI: 10.3390/jcdd10090381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/28/2023] Open
Abstract
Dramatic advances in the management of congenital heart disease (CHD) have improved survival to adulthood from less than 10% in the 1960s to over 90% in the current era, such that adult CHD (ACHD) patients now outnumber their pediatric counterparts. ACHD patients demonstrate domain-specific neurocognitive deficits associated with reduced quality of life that include deficits in educational attainment and social interaction. Our hypothesis is that ACHD patients exhibit vascular brain injury and structural/physiological brain alterations that are predictive of specific neurocognitive deficits modified by behavioral and environmental enrichment proxies of cognitive reserve (e.g., level of education and lifestyle/social habits). This technical note describes an ancillary study to the National Heart, Lung, and Blood Institute (NHLBI)-funded Pediatric Heart Network (PHN) "Multi-Institutional Neurocognitive Discovery Study (MINDS) in Adult Congenital Heart Disease (ACHD)". Leveraging clinical, neuropsychological, and biospecimen data from the parent study, our study will provide structural-physiological correlates of neurocognitive outcomes, representing the first multi-center neuroimaging initiative to be performed in ACHD patients. Limitations of the study include recruitment challenges inherent to an ancillary study, implantable cardiac devices, and harmonization of neuroimaging biomarkers. Results from this research will help shape the care of ACHD patients and further our understanding of the interplay between brain injury and cognitive reserve.
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Affiliation(s)
- Ashok Panigrahy
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
- Department of Pediatric Radiology, Children’s Hospital of Pittsburgh of UPMC, 45th Str., Penn Ave., Pittsburgh, PA 15201, USA
| | - Vanessa Schmithorst
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Rafael Ceschin
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Vince Lee
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Nancy Beluk
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Julia Wallace
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Olivia Wheaton
- HealthCore Inc., 480 Pleasant Str., Watertown, MA 02472, USA;
| | - Thomas Chenevert
- Department of Radiology, Michigan Medicine University of Michigan, 1500 E Medical Center Dr., Ann Arbor, MI 48109, USA;
- Congenital Heart Center, C. S. Mott Children’s Hospital, 1540 E Hospital Dr., Ann Arbor, MI 48109, USA
| | - Deqiang Qiu
- Department of Radiology and Imaging Sciences, Emory School of Medicine, 1364 Clifton Rd., Atlanta, GA 30322, USA;
| | - James N Lee
- Department of Radiology, The University of Utah, 50 2030 E, Salt Lake City, UT 84112, USA;
| | - Andrew Nencka
- Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave., Milwaukee, WI 53226, USA;
| | - Borjan Gagoski
- Department of Radiology, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA;
| | - Jeffrey I. Berman
- Department of Radiology, Children’s Hospital of Philadelphia, 3401 Civic Center Blvd., Philadelphia, PA 19104, USA;
| | - Weihong Yuan
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH 45229, USA;
- Department of Radiology, University of Cincinnati College of Medicine, 3230 Eden Ave., Cincinnati, OH 45267, USA
| | - Christopher Macgowan
- Department of Medical Biophysics, University of Toronto, 101 College Str. Suite 15-701, Toronto, ON M5G 1L7, Canada;
- The Hospital for Sick Children Division of Translational Medicine, 555 University Ave., Toronto, ON M5G 1X8, Canada
| | - James Coatsworth
- Department of Radiology, Medical University of South Carolina, 171 Ashley Ave., Room 372, Charleston, SC 29425, USA;
| | - Lazar Fleysher
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave., New York, NY 10029, USA; (L.F.); (C.C.); (A.Z.)
| | - Christopher Cannistraci
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave., New York, NY 10029, USA; (L.F.); (C.C.); (A.Z.)
| | - Lynn A. Sleeper
- Department of Cardiology, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA; (L.A.S.); (J.W.N.); (M.G.)
| | - Arvind Hoskoppal
- Department of Radiology, UPMC Children’s Hospital of Pittsburgh, 4401 Penn Ave. Floor 2, Pittsburgh, PA 15224, USA; (V.S.); (R.C.); (V.L.); (N.B.); (J.W.); (A.H.)
| | - Candice Silversides
- Department of Cardiology, University of Toronto, C. David Naylor Building, 6 Queen’s Park Crescent West, Third Floor, Toronto, ON M5S 3H2, Canada;
| | - Rupa Radhakrishnan
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 University Blvd., Indianapolis, IN 46202, USA;
| | - Larry Markham
- Department of Cardiology, University of Indiana School of Medicine, 545 Barnhill Dr., Indianapolis, IN 46202, USA;
| | - John F. Rhodes
- Department of Cardiology, Medical University of South Carolina, 96 Jonathan Lucas Str. Ste. 601, MSC 617, Charleston, SC 29425, USA;
| | - Lauryn M. Dugan
- Department of Cardiology, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH 45229, USA; (L.M.D.); (N.B.)
| | - Nicole Brown
- Department of Cardiology, Cincinnati Children’s Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH 45229, USA; (L.M.D.); (N.B.)
| | - Peter Ermis
- Department of Radiology, Texas Children’s Hospital, Houston, TX 77030, USA; (P.E.); (S.F.)
| | - Stephanie Fuller
- Department of Radiology, Texas Children’s Hospital, Houston, TX 77030, USA; (P.E.); (S.F.)
| | - Timothy Brett Cotts
- Departments of Internal Medicine and Pediatrics, Michigan Medicine University of Michigan, 1500 E Medical Center Dr., Ann Arbor, MI 48109, USA;
| | - Fred Henry Rodriguez
- Department of Cardiology, Emory School of Medicine, 100 Woodruff Circle, Atlanta, GA 30322, USA;
| | - Ian Lindsay
- Department of Cardiology, The University of Utah, 95 S 2000 E, Salt Lake City, UT 84112, USA;
| | - Sue Beers
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O’Hara Str., Pittsburgh, PA 15213, USA; (S.B.); (H.A.)
| | - Howard Aizenstein
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O’Hara Str., Pittsburgh, PA 15213, USA; (S.B.); (H.A.)
| | - David C. Bellinger
- Cardiac Neurodevelopmental Program, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA;
| | - Jane W. Newburger
- Department of Cardiology, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA; (L.A.S.); (J.W.N.); (M.G.)
| | - Laura Glass Umfleet
- Department of Neuropsychology, Medical College of Wisconsin, 9200 W Wisconsin Ave., Milwaukee, WI 53226, USA;
| | - Scott Cohen
- Heart and Vascular Center, Medical College of Wisconsin, 8701 Watertown Plank Rd., Milwaukee, WI 53226, USA;
| | - Ali Zaidi
- BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave., New York, NY 10029, USA; (L.F.); (C.C.); (A.Z.)
| | - Michelle Gurvitz
- Department of Cardiology, Boston Children’s Hospital, 300 Longwood Ave., Boston, MA 02115, USA; (L.A.S.); (J.W.N.); (M.G.)
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6
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Lee I, Kim D, Kim S, Kim HJ, Chung US, Lee JJ. Cognitive training based on functional near-infrared spectroscopy neurofeedback for the elderly with mild cognitive impairment: a preliminary study. Front Aging Neurosci 2023; 15:1168815. [PMID: 37564400 PMCID: PMC10410268 DOI: 10.3389/fnagi.2023.1168815] [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: 02/18/2023] [Accepted: 07/05/2023] [Indexed: 08/12/2023] Open
Abstract
Introduction Mild cognitive impairment (MCI) is often described as an intermediate stage of the normal cognitive decline associated with aging and dementia. There is a growing interest in various non-pharmacological interventions for MCI to delay the onset and inhibit the progressive deterioration of daily life functions. Previous studies suggest that cognitive training (CT) contributes to the restoration of working memory and that the brain-computer-interface technique can be applied to elicit a more effective treatment response. However, these techniques have certain limitations. Thus, in this preliminary study, we applied the neurofeedback paradigm during CT to increase the working memory function of patients with MCI. Methods Near-infrared spectroscopy (NIRS) was used to provide neurofeedback by measuring the changes in oxygenated hemoglobin in the prefrontal cortex. Thirteen elderly MCI patients who received CT-neurofeedback sessions four times on the left dorsolateral prefrontal cortex (dlPFC) once a week were recruited as participants. Results Compared with pre-intervention, the activity of the targeted brain region increased when the participants first engaged in the training; after 4 weeks of training, oxygen saturation was significantly decreased in the left dlPFC. The participants demonstrated significantly improved working memory compared with pre-intervention and decreased activity significantly correlated with improved cognitive performance. Conclusion Our results suggest that the applications for evaluating brain-computer interfaces can aid in elucidation of the subjective mental workload that may create additional or decreased task workloads due to CT.
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Affiliation(s)
- Ilju Lee
- Department of Psychology, College of Health Science, Dankook University, Cheonan, Republic of Korea
| | - Dohyun Kim
- Department of Psychiatry, Dankook University Hospital, Cheonan, Republic of Korea
- Department of Psychiatry, College of Medicine, Dankook University, Cheonan, Republic of Korea
| | - Sehwan Kim
- Department of Biomedical Engineering, College of Medicine, Dankook University, Cheonan, Republic of Korea
| | - Hee Jung Kim
- Department of Physiology, College of Medicine, Dankook University, Cheonan, Republic of Korea
| | - Un Sun Chung
- Department of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Jung Jae Lee
- Department of Psychiatry, Dankook University Hospital, Cheonan, Republic of Korea
- Department of Psychiatry, College of Medicine, Dankook University, Cheonan, Republic of Korea
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7
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Lv T, You S, Qin R, Hu Z, Ke Z, Yao W, Zhao H, Xu Y, Bai F. Distinct reserve capacity impacts on default-mode network in response to left angular gyrus-navigated repetitive transcranial magnetic stimulation in the prodromal Alzheimer disease. Behav Brain Res 2023; 439:114226. [PMID: 36436729 DOI: 10.1016/j.bbr.2022.114226] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 11/01/2022] [Accepted: 11/23/2022] [Indexed: 11/25/2022]
Abstract
Default-mode network (DMN) may be the earliest affected network and is associated with cognitive decline in Alzheimer's disease (AD). Repetitive transcranial magnetic stimulation (rTMS) may help to modulate DMN plasticity. Still, stimulation effects substantially vary across studies and individuals. Global left frontal cortex (gLFC) connectivity, a substitute for reserve capacity, may contribute to the heterogeneous physiological effects of neuro-navigated rTMS. This study investigated the effects of left angular gyrus-navigated rTMS on DMN connectivity in different reserve capacity participants. gLFC connectivity, was computed through resting-state fMRI correlations. Thirty-one prodromal AD patients were divided into low connection group (LCG) and high connection group (HCG) by the median of gLFC connectivity. Distinct reserve capacity impacts on DMN in response to rTMS were identified in these two groups. Then, brain-behavior relationships were examined. gLFC connectivity within a certain range is directly proportional to cognitive reserve ability (i.e., LCG), and the effectiveness of functional connectivity beyond this range decreases (i.e, HCG). Moreover, LCG exhibited increased DMN connectivity and significantly positive memory improvements, while HCG showed a contrary connectivity decline and maintained or slightly improved their cognitive function after neuro-navigated rTMS treatment. The prodromal AD patients with the distinct reserve capacity may benefit differently from left angular gyrus-navigated rTMS, which may lead to increasing attention in defining personalized medicine approach of AD.
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Affiliation(s)
- Tingyu Lv
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210008, China
| | - Shengqi You
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210008, China
| | - Ruomeng Qin
- Department of Neurology, Nanjing Drum Tower Hospital of The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China; Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing 210008, China; Nanjing Neuropsychiatry Clinic Medical Center, Nanjing 210008, China
| | - Zheqi Hu
- Department of Neurology, Nanjing Drum Tower Hospital of The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Zhihong Ke
- Department of Neurology, Nanjing Drum Tower Hospital of The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Weina Yao
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing 210008, China
| | - Hui Zhao
- Department of Neurology, Nanjing Drum Tower Hospital of The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China; Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing 210008, China; Nanjing Neuropsychiatry Clinic Medical Center, Nanjing 210008, China
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital of The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China; Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing 210008, China; Nanjing Neuropsychiatry Clinic Medical Center, Nanjing 210008, China
| | - Feng Bai
- Department of Neurology, Nanjing Drum Tower Hospital of The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China; Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing 210008, China; Nanjing Neuropsychiatry Clinic Medical Center, Nanjing 210008, China.
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8
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Zhukovsky P, Coughlan G, Buckley R, Grady C, Voineskos AN. Connectivity between default mode and frontoparietal networks mediates the association between global amyloid-β and episodic memory. Hum Brain Mapp 2022; 44:1147-1157. [PMID: 36420978 PMCID: PMC9875925 DOI: 10.1002/hbm.26148] [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: 04/29/2022] [Revised: 09/20/2022] [Accepted: 10/28/2022] [Indexed: 11/25/2022] Open
Abstract
Βeta-amyloid (Aβ) is a neurotoxic protein that deposits early in the pathogenesis of preclinical Alzheimer's disease. We aimed to identify network connectivity that may alter the negative effect of Aβ on cognition. Following assessment of memory performance, resting-state fMRI, and mean cortical PET-Aβ, a total of 364 older adults (286 with clinical dementia rating [CDR-0], 59 with CDR-0.5 and 19 with CDR-1, mean age: 74.0 ± 6.4 years) from the OASIS-3 sample were included in the analysis. Across all participants, a partial least squares regression showed that lower connectivity between posterior medial default mode and frontoparietal networks, higher within-default mode, and higher visual-motor connectivity predict better episodic memory. These connectivities partially mediate the effect of Aβ on episodic memory. These results suggest that connectivity strength between the precuneus cortex and the superior frontal gyri may alter the negative effect of Aβ on episodic memory. In contrast, education was associated with different functional connectivity patterns. In conclusion, functional characteristics of specific brain networks may help identify amyloid-positive individuals with a higher likelihood of memory decline, with implications for AD clinical trials.
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Affiliation(s)
- Peter Zhukovsky
- Centre for Addiction and Mental HealthCampbell Family Mental Health Research InstituteTorontoCanada
| | - Gillian Coughlan
- Department of Neurology, Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Rachel Buckley
- Department of Neurology, Massachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA,Center for Alzheimer Research and Treatment, Department of NeurologyBrigham and Women's HospitalBostonMassachusettsUSA,Melbourne School of Psychological SciencesUniversity of MelbourneMelbourneVictoriaAustralia
| | - Cheryl Grady
- Rotman Research InstituteBaycrest Health SciencesTorontoOntarioCanada
| | - Aristotle N. Voineskos
- Centre for Addiction and Mental HealthCampbell Family Mental Health Research InstituteTorontoCanada
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9
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Xia H, He Q, Chen A. Understanding cognitive control in aging: A brain network perspective. Front Aging Neurosci 2022; 14:1038756. [PMID: 36389081 PMCID: PMC9659905 DOI: 10.3389/fnagi.2022.1038756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 10/17/2022] [Indexed: 12/03/2022] Open
Abstract
Cognitive control decline is a major manifestation of brain aging that severely impairs the goal-directed abilities of older adults. Magnetic resonance imaging evidence suggests that cognitive control during aging is associated with altered activation in a range of brain regions, including the frontal, parietal, and occipital lobes. However, focusing on specific regions, while ignoring the structural and functional connectivity between regions, may impede an integrated understanding of cognitive control decline in older adults. Here, we discuss the role of aging-related changes in functional segregation, integration, and antagonism among large-scale networks. We highlight that disrupted spontaneous network organization, impaired information co-processing, and enhanced endogenous interference promote cognitive control declines during aging. Additionally, in older adults, severe damage to structural network can weaken functional connectivity and subsequently trigger cognitive control decline, whereas a relatively intact structural network ensures the compensation of functional connectivity to mitigate cognitive control impairment. Thus, we propose that age-related changes in functional networks may be influenced by structural networks in cognitive control in aging (CCA). This review provided an integrative framework to understand the cognitive control decline in aging by viewing the brain as a multimodal networked system.
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Affiliation(s)
- Haishuo Xia
- Faculty of Psychology, Southwest University, Chongqing, China
| | - Qinghua He
- Faculty of Psychology, Southwest University, Chongqing, China
| | - Antao Chen
- School of Psychology, Shanghai University of Sport, Shanghai, China
- *Correspondence: Antao Chen,
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10
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Li KR, Wu AG, Tang Y, He XP, Yu CL, Wu JM, Hu GQ, Yu L. The Key Role of Magnetic Resonance Imaging in the Detection of Neurodegenerative Diseases-Associated Biomarkers: A Review. Mol Neurobiol 2022; 59:5935-5954. [PMID: 35829831 DOI: 10.1007/s12035-022-02944-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 06/28/2022] [Indexed: 11/30/2022]
Abstract
Neurodegenerative diseases (NDs), including chronic disease such as Alzheimer's disease, Parkinson's disease, Huntington's disease, and multiple sclerosis, and acute diseases like traumatic brain injury and ischemic stroke are characterized by progressive degeneration, brain tissue damage and loss of neurons, accompanied by behavioral and cognitive dysfunctions. So far, there are no complete cures for NDs; thus, early and timely diagnoses are essential and beneficial to patients' treatment. Magnetic resonance imaging (MRI) has become one of the advanced medical imaging techniques widely used in the clinical examination of NDs due to its non-invasive diagnostic value. In this review, research published in English in current decade from PubMed electronic database on the use of MRI to detect specific biomarkers of NDs was collected, summarized, and discussed, which provides valuable suggestions for the early diagnosis, prevention, and treatment of NDs in the clinic.
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Affiliation(s)
- Ke-Ru Li
- Department of Human Anatomy, School of Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China
- Sichuan Key Medical Laboratory of New Drug Discovery and Druggability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Southwest Medical University, Luzhou, 646000, China
- Department of Radiology, Chongqing University Fuling Hospital, Chongqing, 408000, China
| | - An-Guo Wu
- Sichuan Key Medical Laboratory of New Drug Discovery and Druggability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Southwest Medical University, Luzhou, 646000, China
- School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
| | - Yong Tang
- Sichuan Key Medical Laboratory of New Drug Discovery and Druggability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Southwest Medical University, Luzhou, 646000, China
| | - Xiao-Peng He
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, the Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Chong-Lin Yu
- Department of Human Anatomy, School of Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Jian-Ming Wu
- Sichuan Key Medical Laboratory of New Drug Discovery and Druggability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Southwest Medical University, Luzhou, 646000, China
- School of Pharmacy, Southwest Medical University, Luzhou, 646000, China
| | - Guang-Qiang Hu
- Department of Human Anatomy, School of Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China.
| | - Lu Yu
- Sichuan Key Medical Laboratory of New Drug Discovery and Druggability Evaluation, Luzhou Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Southwest Medical University, Luzhou, 646000, China.
- School of Pharmacy, Southwest Medical University, Luzhou, 646000, China.
- Department of Chemistry, School of Preclinical Medicine, Southwest Medical University, Luzhou, 646000, Sichuan, China.
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11
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Crockett RA, Hsu CL, Dao E, Tam R, Eng JJ, Handy TC, Liu-Ambrose T. Weight for It: Resistance Training Mitigates White Matter Hyperintensity-Related Disruption to Functional Networks in Older Females. J Alzheimers Dis 2022; 90:553-563. [DOI: 10.3233/jad-220142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: White matter hyperintensities (WMH) are associated with impaired cognition and increased falls risk. Resistance training (RT) is a promising intervention to reduce WMH progression, improve executive functions, and reduce falls. However, the underlying neurobiological process by which RT improves executive functions and falls risk remain unclear. We hypothesized that: 1) RT reduces the level of WMH-related disruption to functional networks; and 2) reduced disruption to the sensorimotor and attention networks will be associated with improved executive function and reduced falls risk. Objective: Investigate the impact of 52 weeks of RT on WMH-related disruption to functional networks. Methods: Thirty-two older females (65–75 years) were included in this exploratory analysis of a 52-week randomized controlled trial. Participants received either twice-weekly RT or balance and tone training (control). We used lesion network mapping to assess changes in WMH-related disruption to the sensorimotor, dorsal attention, and ventral attention networks. Executive function was measured using the Stroop Colour-Word Test. Falls risk was assessed using the Physiological Profile Assessment (PPA) and the foam sway test. Results: RT significantly reduced the level of WMH-related disruption to the sensorimotor network (p = 0.005). Reduced disruption to the dorsal attention network was associated with improvements in Stroop performance (r = 0.527, p = 0.030). Reduced disruption to the ventral attention network was associated with reduced PPA score (r = 0.485, p = 0.049) Conclusion: RT may be a promising intervention to mitigate WMH-related disruption to the sensorimotor network. Additionally, reducing disruption to the dorsal and ventral attention networks may contribute to improved executive function and reduced falls risk respectively.
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Affiliation(s)
- Rachel A. Crockett
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada
- Aging, Mobility, and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Chun Liang Hsu
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, USA
- Harvard Medical School, Harvard University, Boston, MA, USA
| | - Elizabeth Dao
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada
- Aging, Mobility, and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Roger Tam
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
- Department of Radiology, University of British Columbia, Vancouver, Canada
- School of Biomedical Engineering, University of British Columbia, Vancouver, Canada
| | - Janice J. Eng
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada
- Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Todd C. Handy
- The Attentional Neuroscience Laboratory, University of British Columbia, Vancouver, Canada
- Department of Psychology, University of British Columbia, Vancouver, Canada
| | - Teresa Liu-Ambrose
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada
- Aging, Mobility, and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
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12
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Shi Y, Mao H, Gao Q, Xi G, Zeng S, Ma L, Zhang X, Li L, Wang Z, Ji W, He P, You Y, Chen K, Shao J, Mao X, Fang X, Wang F. Potential of brain age in identifying early cognitive impairment in subcortical small-vessel disease patients. Front Aging Neurosci 2022; 14:973054. [PMID: 36118707 PMCID: PMC9475066 DOI: 10.3389/fnagi.2022.973054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 08/16/2022] [Indexed: 12/04/2022] Open
Abstract
Background Reliable and individualized biomarkers are crucial for identifying early cognitive impairment in subcortical small-vessel disease (SSVD) patients. Personalized brain age prediction can effectively reflect cognitive impairment. Thus, the present study aimed to investigate the association of brain age with cognitive function in SSVD patients and assess the potential value of brain age in clinical assessment of SSVD. Materials and methods A prediction model for brain age using the relevance vector regression algorithm was developed using 35 healthy controls. Subsequently, the prediction model was tested using 51 SSVD patients [24 subjective cognitive impairment (SCI) patients and 27 mild cognitive impairment (MCI) patients] to identify brain age-related imaging features. A support vector machine (SVM)-based classification model was constructed to differentiate MCI from SCI patients. The neurobiological basis of brain age-related imaging features was also investigated based on cognitive assessments and oxidative stress biomarkers. Results The gray matter volume (GMV) imaging features accurately predicted brain age in individual patients with SSVD (R2 = 0.535, p < 0.001). The GMV features were primarily distributed across the subcortical system (e.g., thalamus) and dorsal attention network. SSVD patients with age acceleration showed significantly poorer Mini-Mental State Examination and Montreal Cognitive Assessment (MoCA) scores. The classification model based on GMV features could accurately distinguish MCI patients from SCI patients (area under the curve = 0.883). The classification outputs of the classification model exhibited significant associations with MoCA scores, Trail Making Tests A and B scores, Stroop Color and Word Test C scores, information processing speed total scores, and plasma levels of total antioxidant capacity in SSVD patients. Conclusion Brain age can be accurately quantified using GMV imaging data and shows potential clinical value for identifying early cognitive impairment in SSVD patients.
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Affiliation(s)
- Yachen Shi
- Department of Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
- Department of Interventional Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
- Department of Functional Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
- *Correspondence: Yachen Shi,
| | - Haixia Mao
- Department of Radiology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Qianqian Gao
- Department of Radiology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Guangjun Xi
- Department of Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
- Department of Interventional Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Siyuan Zeng
- Department of Radiology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Lin Ma
- Department of Radiology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Xiuping Zhang
- Department of Radiology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Lei Li
- Department of Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
- Department of Interventional Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Zhuoyi Wang
- Department of Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
- Department of Interventional Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Wei Ji
- Department of Functional Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
- Department of Neurosurgery, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Ping He
- Department of Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Yiping You
- Department of Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
- Department of Functional Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Kefei Chen
- Department of Functional Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
- Department of Neurosurgery, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Junfei Shao
- Department of Radiology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Xuqiang Mao
- Department of Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
| | - Xiangming Fang
- Department of Radiology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
- Xiangming Fang,
| | - Feng Wang
- Department of Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
- Department of Interventional Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, China
- Feng Wang,
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13
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Böttcher A, Zarucha A, Köbe T, Gaubert M, Höppner A, Altenstein S, Bartels C, Buerger K, Dechent P, Dobisch L, Ewers M, Fliessbach K, Freiesleben SD, Frommann I, Haynes JD, Janowitz D, Kilimann I, Kleineidam L, Laske C, Maier F, Metzger C, Munk MHJ, Perneczky R, Peters O, Priller J, Rauchmann BS, Roy N, Scheffler K, Schneider A, Spottke A, Teipel SJ, Wiltfang J, Wolfsgruber S, Yakupov R, Düzel E, Jessen F, Röske S, Wagner M, Kempermann G, Wirth M. Musical Activity During Life Is Associated With Multi-Domain Cognitive and Brain Benefits in Older Adults. Front Psychol 2022; 13:945709. [PMID: 36092026 PMCID: PMC9454948 DOI: 10.3389/fpsyg.2022.945709] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 06/23/2022] [Indexed: 11/13/2022] Open
Abstract
Regular musical activity as a complex multimodal lifestyle activity is proposed to be protective against age-related cognitive decline and Alzheimer’s disease. This cross-sectional study investigated the association and interplay between musical instrument playing during life, multi-domain cognitive abilities and brain morphology in older adults (OA) from the DZNE-Longitudinal Cognitive Impairment and Dementia Study (DELCODE) study. Participants reporting having played a musical instrument across three life periods (n = 70) were compared to controls without a history of musical instrument playing (n = 70), well-matched for reserve proxies of education, intelligence, socioeconomic status and physical activity. Participants with musical activity outperformed controls in global cognition, working memory, executive functions, language, and visuospatial abilities, with no effects seen for learning and memory. The musically active group had greater gray matter volume in the somatosensory area, but did not differ from controls in higher-order frontal, temporal, or hippocampal volumes. However, the association between gray matter volume in distributed frontal-to-temporal regions and cognitive abilities was enhanced in participants with musical activity compared to controls. We show that playing a musical instrument during life relates to better late-life cognitive abilities and greater brain capacities in OA. Musical activity may serve as a multimodal enrichment strategy that could help preserve cognitive and brain health in late life. Longitudinal and interventional studies are needed to support this notion.
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Affiliation(s)
- Adriana Böttcher
- German Center for Neurodegenerative Diseases, Dresden, Germany
- Section of Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Alexis Zarucha
- German Center for Neurodegenerative Diseases, Dresden, Germany
| | - Theresa Köbe
- German Center for Neurodegenerative Diseases, Dresden, Germany
| | - Malo Gaubert
- German Center for Neurodegenerative Diseases, Dresden, Germany
| | - Angela Höppner
- German Center for Neurodegenerative Diseases, Dresden, Germany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases, Berlin, Germany
- Department of Psychiatry, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Claudia Bartels
- Department of Psychiatry and Psychotherapy, University Medical Center, University of Göttingen, Göttingen, Germany
| | - Katharina Buerger
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
| | - Peter Dechent
- MR-Research in Neurology and Psychiatry, Georg-August-University Göttingen, Göttingen, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
| | - Michael Ewers
- German Center for Neurodegenerative Diseases, Munich, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | | | - Ingo Frommann
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - John Dylan Haynes
- Bernstein Center for Computational Neuroscience, Charité – Universitätsmedizin, Berlin, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases, Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | | | - Christoph Laske
- German Center for Neurodegenerative Diseases, Tübingen, Germany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Franziska Maier
- Department of Psychiatry, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Coraline Metzger
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
- Department of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany
| | - Matthias H. J. Munk
- German Center for Neurodegenerative Diseases, Tübingen, Germany
- Systems Neurophysiology, Department of Biology, Darmstadt University of Technology, Darmstadt, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
- Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, United Kingdom
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases, Berlin, Germany
- Department of Psychiatry, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases, Berlin, Germany
- Department of Psychiatry, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Department of Neurology, University Hospital Bonn, Bonn, Germany
| | - Stefan J. Teipel
- German Center for Neurodegenerative Diseases, Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center, University of Göttingen, Göttingen, Germany
- German Center for Neurodegenerative Diseases, Göttingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Department of Psychiatry, Faculty of Medicine, University of Cologne, Cologne, Germany
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, Cologne, Germany
| | - Sandra Röske
- German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Gerd Kempermann
- German Center for Neurodegenerative Diseases, Dresden, Germany
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
| | - Miranka Wirth
- German Center for Neurodegenerative Diseases, Dresden, Germany
- *Correspondence: Miranka Wirth,
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14
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Frontzkowski L, Ewers M, Brendel M, Biel D, Ossenkoppele R, Hager P, Steward A, Dewenter A, Römer S, Rubinski A, Buerger K, Janowitz D, Binette AP, Smith R, Strandberg O, Carlgren NM, Dichgans M, Hansson O, Franzmeier N. Earlier Alzheimer’s disease onset is associated with tau pathology in brain hub regions and facilitated tau spreading. Nat Commun 2022; 13:4899. [PMID: 35987901 PMCID: PMC9392750 DOI: 10.1038/s41467-022-32592-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 08/08/2022] [Indexed: 12/20/2022] Open
Abstract
AbstractIn Alzheimer’s disease (AD), younger symptom onset is associated with accelerated disease progression and tau spreading, yet the mechanisms underlying faster disease manifestation are unknown. To address this, we combined resting-state fMRI and longitudinal tau-PET in two independent samples of controls and biomarker-confirmed AD patients (ADNI/BioFINDER, n = 240/57). Consistent across both samples, we found that younger symptomatic AD patients showed stronger tau-PET in globally connected fronto-parietal hubs, i.e., regions that are critical for maintaining cognition in AD. Stronger tau-PET in hubs predicted faster subsequent tau accumulation, suggesting that tau in globally connected regions facilitates connectivity-mediated tau spreading. Further, stronger tau-PET in hubs mediated the association between younger age and faster tau accumulation in symptomatic AD patients, which predicted faster cognitive decline. These independently validated findings suggest that younger AD symptom onset is associated with stronger tau pathology in brain hubs, and accelerated tau spreading throughout connected brain regions and cognitive decline.
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15
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Lv K, Cao X, Wang R, Du P, Fu J, Geng D, Zhang J. Neuroplasticity of Glioma Patients: Brain Structure and Topological Network. Front Neurol 2022; 13:871613. [PMID: 35645982 PMCID: PMC9136300 DOI: 10.3389/fneur.2022.871613] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 04/26/2022] [Indexed: 11/19/2022] Open
Abstract
Glioma is the most common primary malignant brain tumor in adults. It accounts for about 75% of such tumors and occurs more commonly in men. The incidence rate has been increasing in the past 30 years. Moreover, the 5-year overall survival rate of glioma patients is < 35%. Different locations, grades, and molecular characteristics of gliomas can lead to different behavioral deficits and prognosis, which are closely related to patients' quality of life and associated with neuroplasticity. Some advanced magnetic resonance imaging (MRI) technologies can explore the neuroplasticity of structural, topological, biochemical metabolism, and related mechanisms, which may contribute to the improvement of prognosis and function in glioma patients. In this review, we summarized the studies conducted on structural and topological plasticity of glioma patients through different MRI technologies and discussed future research directions. Previous studies have found that glioma itself and related functional impairments can lead to structural and topological plasticity using multimodal MRI. However, neuroplasticity caused by highly heterogeneous gliomas is not fully understood, and should be further explored through multimodal MRI. In addition, the individualized prediction of functional prognosis of glioma patients from the functional level based on machine learning (ML) is promising. These approaches and the introduction of ML can further shed light on the neuroplasticity and related mechanism of the brain, which will be helpful for management of glioma patients.
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Affiliation(s)
- Kun Lv
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xin Cao
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Reasearch, Shanghai, China
- Institute of Intelligent Imaging Phenomics, International Human Phenome Institutes (Shanghai), Shanghai, China
| | - Rong Wang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Reasearch, Shanghai, China
- Institute of Intelligent Imaging Phenomics, International Human Phenome Institutes (Shanghai), Shanghai, China
| | - Peng Du
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Junyan Fu
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Daoying Geng
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Reasearch, Shanghai, China
- Institute of Intelligent Imaging Phenomics, International Human Phenome Institutes (Shanghai), Shanghai, China
- *Correspondence: Daoying Geng
| | - Jun Zhang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Reasearch, Shanghai, China
- Institute of Intelligent Imaging Phenomics, International Human Phenome Institutes (Shanghai), Shanghai, China
- Jun Zhang
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16
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Wirth M, Gaubert M, Köbe T, Garnier-Crussard A, Lange C, Gonneaud J, de Flores R, Landeau B, de la Sayette V, Chételat G. Vascular Health Is Associated With Functional Connectivity Decline in Higher-Order Networks of Older Adults. Front Integr Neurosci 2022; 16:847824. [PMID: 35558154 PMCID: PMC9088922 DOI: 10.3389/fnint.2022.847824] [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: 01/03/2022] [Accepted: 03/14/2022] [Indexed: 12/03/2022] Open
Abstract
Background Poor vascular health may impede brain functioning in older adults, thus possibly increasing the risk of cognitive decline and Alzheimer’s disease (AD). The emerging link between vascular risk factors (VRF) and longitudinal decline in resting-state functional connectivity (RSFC) within functional brain networks needs replication and further research in independent cohorts. Method We examined 95 non-demented older adults using the IMAP+ cohort (Caen, France). VRF were assessed at baseline through systolic and diastolic blood pressure, body-mass-index, and glycated hemoglobin (HbA1c) levels. Brain pathological burden was measured using white matter hyperintensity (WMH) volumes, derived from FLAIR images, and cortical β-Amyloid (Aβ) deposition, derived from florbetapir-PET imaging. RSFC was estimated from functional MRI scans within canonical brain networks at baseline and up to 3 years of follow-up. Linear mixed-effects models evaluated the independent predictive value of VRF on longitudinal changes in network-specific and global RSFC as well as a potential association between these RSFC changes and cognitive decline. Results We replicate that RSFC increased over time in global RSFC and in the default-mode, salience/ventral-attention and fronto-parietal networks. In contrast, higher diastolic blood pressure levels were independently associated with a decrease of RSFC over time in the default-mode, salience/ventral-attention, and fronto-parietal networks. Moreover, higher HbA1c levels were independently associated with a reduction of the observed RSFC increase over time in the salience/ventral-attention network. Both of these associations were independent of brain pathology related to Aβ load and WMH volumes. The VRF-related changes in RSFC over time were not significantly associated with longitudinal changes in cognitive performance. Conclusion Our longitudinal findings corroborate that VRF promote RSFC alterations over time within higher-order brain networks, irrespective of pathological brain burden. Altered RSFC in large-scale cognitive networks may eventually increase the vulnerability to aging and AD.
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Affiliation(s)
- Miranka Wirth
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
- *Correspondence: Miranka Wirth,
| | - Malo Gaubert
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
| | - Theresa Köbe
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
| | - Antoine Garnier-Crussard
- Clinical and Research Memory Center of Lyon, Lyon Institute for Aging, Hospices Civils de Lyon, Lyon, France
- INSERM 1048, CNRS 5292, Neuroscience Research Centre, Lyon, France
- UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” Institut Blood and Brain @ Caen-Normandie, Cyceron, Normandy University, Caen, France
| | - Catharina Lange
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
- Department of Nuclear Medicine, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Julie Gonneaud
- UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” Institut Blood and Brain @ Caen-Normandie, Cyceron, Normandy University, Caen, France
| | - Robin de Flores
- UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” Institut Blood and Brain @ Caen-Normandie, Cyceron, Normandy University, Caen, France
| | - Brigitte Landeau
- UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” Institut Blood and Brain @ Caen-Normandie, Cyceron, Normandy University, Caen, France
| | - Vincent de la Sayette
- UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” Institut Blood and Brain @ Caen-Normandie, Cyceron, Normandy University, Caen, France
- Department of Neurology, CHU de Caen, Caen, France
| | - Gaël Chételat
- UNICAEN, INSERM, U1237, PhIND “Physiopathology and Imaging of Neurological Disorders,” Institut Blood and Brain @ Caen-Normandie, Cyceron, Normandy University, Caen, France
- Gaël Chételat,
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17
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Schwarz C, Benson GS, Antonenko D, Horn N, Köbe T, Klimecki O, Sommer W, Wirth M, Flöel A. Negative affective burden is associated with higher resting-state functional connectivity in subjective cognitive decline. Sci Rep 2022; 12:6212. [PMID: 35418579 PMCID: PMC9007949 DOI: 10.1038/s41598-022-10179-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 03/31/2022] [Indexed: 11/09/2022] Open
Abstract
Subjective cognitive decline (SCD), as expressed by older adults, is associated with negative affect, which, in turn, is a likely risk factor for Alzheimer's Disease (AD). This study assessed the associations between negative affective burden, cognitive functioning, and functional connectivity in networks vulnerable to AD in the context of SCD. Older participants (60-90 years) with SCD (n = 51) and healthy controls (n = 50) were investigated in a cross-sectional study. Subclinical negative affective burden, quantified through a composite of self-reported negative affective factors, was related to cognitive functioning (self-perceived and objective) and functional connectivity. Seed-to-voxel analyses were carried out in default mode network (DMN) and salience network (SAL) nodes using resting-state functional magnetic resonance imaging. Greater negative affective burden was associated with lower self-perceived cognitive functioning and lower between-network functional connectivity of DMN and SAL nodes in the total sample. In addition, there was a significant moderation of SCD status. Greater negative affective burden related to higher functional connectivity within DMN (posterior cingulate-to-precuneus) and within SAL (anterior cingulate-to-insula) nodes in the SCD group, whereas in controls the inverse association was found. We show that negative affective burden is associated with functional brain alterations in older adults, regardless of SCD status. Specifically in the SCD phenotype, greater negative affective burden relates to higher functional connectivity within brain networks vulnerable to AD. Our findings imply that negative affective burden should be considered a potentially modifiable target for early intervention.
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Affiliation(s)
- Claudia Schwarz
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
| | - Gloria S Benson
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Daria Antonenko
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Nora Horn
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Theresa Köbe
- German Centre for Neurodegenerative Diseases, DZNE, Dresden, Germany
| | - Olga Klimecki
- Psychology Department, Technische Universität Dresden, Dresden, Germany
| | - Werner Sommer
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Psychology, Zhejiang Normal University, Jin Hua, China
| | - Miranka Wirth
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
- German Centre for Neurodegenerative Diseases, DZNE, Dresden, Germany.
| | - Agnes Flöel
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Rostock/Greifswald, Greifswald, Germany
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18
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Association between Changes in White Matter Microstructure and Cognitive Impairment in White Matter Lesions. Brain Sci 2022; 12:brainsci12040482. [PMID: 35448013 PMCID: PMC9026911 DOI: 10.3390/brainsci12040482] [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: 01/07/2022] [Revised: 03/24/2022] [Accepted: 04/02/2022] [Indexed: 02/05/2023] Open
Abstract
This study investigated the characteristics of cognitive impairment in patients with white matter lesions (WMLs) caused by cerebral small vessel disease and the corresponding changes in WM microstructures. Diffusion tensor imaging (DTI) data of 50 patients with WMLs and 37 healthy controls were collected. Patients were divided into vascular cognitive impairment non-dementia and vascular dementia groups. Tract-based spatial statistics showed that patients with WMLs had significantly lower fractional anisotropy (FA) and higher mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) values throughout the WM areas but predominately in the forceps minor, forceps major (FMA), bilateral corticospinal tract, inferior fronto-occipital fasciculus, superior longitudinal fasciculus, inferior longitudinal fasciculus (ILF), and anterior thalamic radiation, compared to the control group. These fiber bundles were selected as regions of interest. There were significant differences in the FA, MD, AD, and RD values (p < 0.05) between groups. The DTI metrics of all fiber bundles significantly correlated with the Montreal Cognitive Assessment (p < 0.05), with the exception of the AD values of the FMA and ILF. Patients with WMLs showed changes in diffusion parameters in the main WM fiber bundles. Quantifiable changes in WM microstructure are the main pathological basis of cognitive impairment, and may serve as a biomarker of WMLs.
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Jaywant A, Dunlop K, Victoria LW, Oberlin L, Lynch CJ, Respino M, Kuceyeski A, Scult M, Hoptman MJ, Liston C, O’Dell MW, Alexopoulos GS, Perlis RH, Gunning FM. Estimated Regional White Matter Hyperintensity Burden, Resting State Functional Connectivity, and Cognitive Functions in Older Adults. Am J Geriatr Psychiatry 2022; 30:269-280. [PMID: 34412936 PMCID: PMC8799753 DOI: 10.1016/j.jagp.2021.07.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/24/2021] [Accepted: 07/22/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE White matter hyperintensities (WMH) are linked to deficits in cognitive functioning, including cognitive control and memory; however, the structural, and functional mechanisms are largely unknown. We investigated the relationship between estimated regional disruptions to white matter fiber tracts from WMH, resting state functional connectivity (RSFC), and cognitive functions in older adults. DESIGN Cross-sectional study. SETTING Community. PARTICIPANTS Fifty-eight cognitively-healthy older adults. MEASUREMENTS Tasks of cognitive control and memory, structural MRI, and resting state fMRI. We estimated the disruption to white matter fiber tracts from WMH and its impact on gray matter regions in the cortical and subcortical frontoparietal network, default mode network, and ventral attention network by overlaying each subject's WMH mask on a normative tractogram dataset. We calculated RSFC between nodes in those same networks. We evaluated the interaction of regional WMH burden and RSFC in predicting cognitive control and memory. RESULTS The interaction of estimated regional WMH burden and RSFC in cortico-striatal regions of the default mode network and frontoparietal network was associated with delayed recall. Models predicting working memory, cognitive inhibition, and set-shifting were not significant. CONCLUSION Findings highlight the role of network-level structural and functional alterations in resting state networks that are related to WMH and impact memory in older adults.
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Affiliation(s)
- Abhishek Jaywant
- Department of Psychiatry, Weill Cornell Medicine,Department of Rehabilitation Medicine, Weill Cornell Medicine
| | - Katharine Dunlop
- Department of Psychiatry, Weill Cornell Medicine,Feil Family Brain and Mind Research Institute, Weill Cornell Medicine
| | - Lindsay W. Victoria
- Department of Psychiatry, Weill Cornell Medicine,Weill Cornell Institute of Geriatric Psychiatry
| | - Lauren Oberlin
- Department of Psychiatry, Weill Cornell Medicine,Weill Cornell Institute of Geriatric Psychiatry
| | - Charles J. Lynch
- Department of Psychiatry, Weill Cornell Medicine,Feil Family Brain and Mind Research Institute, Weill Cornell Medicine
| | - Matteo Respino
- Department of Psychiatry, Weill Cornell Medicine,Weill Cornell Institute of Geriatric Psychiatry
| | | | | | - Matthew J. Hoptman
- Nathan Kline Institute for Psychiatric Research,Department of Psychiatry, New York University School of Medicine
| | - Conor Liston
- Department of Psychiatry, Weill Cornell Medicine,Feil Family Brain and Mind Research Institute, Weill Cornell Medicine
| | | | - George S. Alexopoulos
- Department of Psychiatry, Weill Cornell Medicine,Weill Cornell Institute of Geriatric Psychiatry
| | - Roy H. Perlis
- Harvard Medical School/Massachusetts General Hospital
| | - Faith M. Gunning
- Department of Psychiatry, Weill Cornell Medicine,Weill Cornell Institute of Geriatric Psychiatry
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20
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More Flexible Brain Activation Underlies Cognitive Reserve in Older Adults. Neurobiol Aging 2022; 113:63-72. [DOI: 10.1016/j.neurobiolaging.2022.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 01/26/2022] [Accepted: 02/01/2022] [Indexed: 11/19/2022]
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21
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Kantarovich K, Mwilambwe-Tshilobo L, Fernández-Cabello S, Setton R, Baracchini G, Lockrow AW, Spreng RN, Turner GR. White matter lesion load is associated with lower within- and greater between- network connectivity across older age. Neurobiol Aging 2022; 112:170-180. [DOI: 10.1016/j.neurobiolaging.2022.01.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 12/31/2021] [Accepted: 01/21/2022] [Indexed: 01/01/2023]
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22
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Xing Y, Yang J, Zhou A, Wang F, Tang Y, Jia J. Altered brain activity mediates the relationship between white matter hyperintensity severity and cognition in older adults. Brain Imaging Behav 2021; 16:899-908. [PMID: 34671890 DOI: 10.1007/s11682-021-00564-y] [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] [Accepted: 09/24/2021] [Indexed: 11/26/2022]
Abstract
White matter hyperintensities (WMHs) on magnetic resonance imaging are commonly found in older adults. The mechanisms underpinning the dose-dependent association between WMH severity and cognition are not well understood. This study aimed to investigate how brain activity changes with WMH severity, and if altered brain activity mediates the relationship between WMH and cognitive function. A total of 35 participants with moderate to severe WMHs (Fazekas grade 2 or 3) and 34 participants with mild WMHs (Fazekas grade 1), who were cognitively normal, were included. Resting-state brain function was analyzed using the amplitude of low-frequency fluctuation (ALFF). A mean fractional anisotropy (FA) value of 20 tract-specific regions of interest was calculated. Mediation analysis was used to assess whether ALFF values mediated the relationship between WMH and cognition. The results showed that compared to those with mild WMHs, participants with confluent WMHs had worse memory and naming ability and also had increased ALFF in the right middle frontal gyrus and decreased ALFF in the left middle occipital gyrus. After controlling for age, gender, education and apolipoprotein E (ApoE) ε4 status, increased ALFF in the right prefrontal cortex was associated with worse immediate recall and recognition, and ALFF values mediated the relationships between both Fazekas scores and FA values and memory. In conclusion, our study suggests that cognitively normal adults with high WMH load exhibit subclinical cognitive dysfunction and altered spontaneous brain activity. The mediating effects of brain activity help to shed light on our understanding of the relationship between WMHs and cognition.
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Affiliation(s)
- Yi Xing
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Jianwei Yang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Aihong Zhou
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Fen Wang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China
| | - Yi Tang
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China.
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China.
| | - Jianping Jia
- Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, National Clinical Research Center for Geriatric Disorders, Capital Medical University, 45 Changchun Street, Beijing, 100053, China.
- Key Laboratory of Neurodegenerative Diseases, Ministry of Education of the People's Republic of China, Beijing, China.
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23
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Sekar S, Kannath SK, Ramachandran S, Menon RN, Thomas B. Alterations in Resting-State Functional MRI Connectivity Related to Cognitive Changes in Intracranial Dural Arteriovenous Fistulas Before and After Embolization Treatment. J Magn Reson Imaging 2021; 55:1183-1199. [PMID: 34592019 DOI: 10.1002/jmri.27936] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 09/14/2021] [Accepted: 09/14/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Cognitive decline is a non-hemorrhagic, major complication of intracranial dural arteriovenous fistula (DAVF), thought to be primarily related to venous hypertension. However, imaging features to predict cognitive decline are scanty in the literature. PURPOSE To evaluate functional connectivity (FC) changes of resting-state networks (RSNs) in DAVF before and after treatment and its relation to cognitive impairment. STUDY TYPE Prospective. SUBJECTS DAVF subjects were screened for inclusion. Pre-embolization (N = 33, mean age 45.9 years, 29 males), 1 month post-embolization (N = 20, mean age 42.7 years, 19 males), and healthy controls (HC, N = 33, mean age 45.09 years, 27 males). FIELD STRENGTH/SEQUENCE 3.0 T, resting-state functional magnetic resonance imaging (MRI), three-dimensional (3D) T1, T2 fast spin echo (FSE), diffusion weighted imaging (DWI), susceptibility weighted imaging (SWI), fluid-attenuated inversion recovery, and time of flight. ASSESSMENT Data quality assessment was performed. FC analysis was done using group independent component analysis (ICA) and seed to voxel analysis. Neuropsychology (NP) scores of patients were compared with HC and correlated with FC changes. STATISTICAL TESTS Voxel-wise parametric T-statistics for F-test was executed in FC analysis (p-FDR corrected <0.05). NP scores between DAVF group and HC group were compared using one-way analysis of variance with post hoc Bonferroni correction (P < 0.05). RESULTS Both RSNs analysis methods showed reduced FC at the precuneus-posterior cingulate cortex (PC-PCC) of default mode network (DMN), anterior cingulate cortex (ACC) of the salience network (SN), and possible compensatory increased connectivity at the frontoparietal (FPN) and dorsal attention (DAN) networks. DAVF with low NP scores showed reduced FC at DMN and SN and minimal to absent connectivity at FPN and DAN. At post-embolization 1-month follow-up, improvement in FC at PC-PCC of DMN and ACC of SN were noted. DATA CONCLUSION RS-fMRI in DAVF displayed FC changes that may be related to cognitive decline and its subsequent reversibility after treatment. FC changes at DMN, SN, FPN, and DAN were linked to cognitive decline and the corresponding NP scores. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Sabarish Sekar
- Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Santhosh Kumar Kannath
- Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Sushama Ramachandran
- Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Ramshekhar N Menon
- Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Bejoy Thomas
- Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
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Shi L, Buchanan CR, Cox SR, Hillary RF, Marioni RE, Campbell A, Hayward C, Stolicyn A, Whalley HC, Harris MA, Waymont J, Waiter G, Backhouse E, Wardlaw JM, Steele D, Mcintosh A, Lovestone S, Buckley NJ, Nevado‐Holgado AJ. Identification of plasma proteins relating to brain neurodegeneration and vascular pathology in cognitively normal individuals. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12240. [PMID: 34604499 PMCID: PMC8474123 DOI: 10.1002/dad2.12240] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/09/2021] [Accepted: 08/16/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION This study aims to first discover plasma proteomic biomarkers relating to neurodegeneration (N) and vascular (V) damage in cognitively normal individuals and second to discover proteins mediating sex-related difference in N and V pathology. METHODS Five thousand and thirty-two plasma proteins were measured in 1061 cognitively normal individuals (628 females and 433 males), nearly 90% of whom had magnetic resonance imaging measures of hippocampal volume (as N) and white matter hyperintensities (as V). RESULTS Differential protein expression analysis and co-expression network analysis revealed different proteins and modules associated with N and V, respectively. Furthermore, causal mediation analysis revealed four proteins mediated sex-related difference in N and one protein mediated such difference in V damage. DISCUSSION Once validated, the identified proteins could help to select cognitively normal individuals with N and V pathology for Alzheimer's disease clinical trials and provide targets for further mechanistic studies on brain sex differences, leading to sex-specific therapeutic strategies.
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Affiliation(s)
- Liu Shi
- Department of PsychiatryUniversity of OxfordOxfordUK
| | - Colin R. Buchanan
- Lothian Birth Cohorts GroupThe University of EdinburghEdinburghUK
- Department of PsychologyThe University of EdinburghEdinburghUK
- Scottish Imaging NetworkA Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
| | - Simon R. Cox
- Lothian Birth Cohorts GroupThe University of EdinburghEdinburghUK
- Department of PsychologyThe University of EdinburghEdinburghUK
- Scottish Imaging NetworkA Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
| | - Robert F. Hillary
- Centre for Genomic and Experimental MedicineInstitute of Genetics and Molecular MedicineUniversity of EdinburghEdinburghUK
| | - Riccardo E. Marioni
- Centre for Genomic and Experimental MedicineInstitute of Genetics and Molecular MedicineUniversity of EdinburghEdinburghUK
| | - Archie Campbell
- Centre for Genomic and Experimental MedicineInstitute of Genetics and Molecular MedicineUniversity of EdinburghEdinburghUK
| | - Caroline Hayward
- Centre for Genomic and Experimental MedicineInstitute of Genetics and Molecular MedicineUniversity of EdinburghEdinburghUK
- Medical Research Council Human Genetics UnitInstitute of Genetics and Molecular MedicineUniversity of EdinburghEdinburghUK
| | - Aleks Stolicyn
- Division of PsychiatryUniversity of EdinburghEdinburghUK
| | | | | | - Jennifer Waymont
- Aberdeen Biomedical Imaging CentreInstitute of Medical SciencesUniversity of AberdeenAberdeenUK
| | - Gordon Waiter
- Aberdeen Biomedical Imaging CentreInstitute of Medical SciencesUniversity of AberdeenAberdeenUK
| | - Ellen Backhouse
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- Dementia Research InstituteUniversity of EdinburghEdinburghUK
| | - Joanna M. Wardlaw
- Centre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- Dementia Research InstituteUniversity of EdinburghEdinburghUK
| | - Douglas Steele
- Division of Imaging Science and TechnologyMedical SchoolUniversity of DundeeScotlandUK
| | - Andrew Mcintosh
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Division of PsychiatryCentre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
| | - Simon Lovestone
- Department of PsychiatryUniversity of OxfordOxfordUK
- Janssen R&DLondonUK
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25
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Jenkins LM, Kogan A, Malinab M, Ingo C, Sedaghat S, Bryan NR, Yaffe K, Parrish TB, Nemeth AJ, Lloyd-Jones DM, Launer LJ, Wang L, Sorond F. Blood pressure, executive function, and network connectivity in middle-aged adults at risk of dementia in late life. Proc Natl Acad Sci U S A 2021; 118:e2024265118. [PMID: 34493658 PMCID: PMC8449402 DOI: 10.1073/pnas.2024265118] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 06/15/2021] [Indexed: 11/18/2022] Open
Abstract
Midlife blood pressure is associated with structural brain changes, cognitive decline, and dementia in late life. However, the relationship between early adulthood blood pressure exposure, brain structure and function, and cognitive performance in midlife is not known. A better understanding of these relationships in the preclinical stage may advance our mechanistic understanding of vascular contributions to late-life cognitive decline and dementia and may provide early therapeutic targets. To identify resting-state functional connectivity of executive control networks (ECNs), a group independent components analysis was performed of functional MRI scans of 600 individuals from the Coronary Artery Risk Development in Young Adults longitudinal cohort study, with cumulative systolic blood pressure (cSBP) measured at nine visits over the preceding 30 y. Dual regression analysis investigated performance-related connectivity of ECNs in 578 individuals (mean age 55.5 ± 3.6 y, 323 female, 243 Black) with data from the Stroop color-word task of executive function. Greater connectivity of a left ECN to the bilateral anterior gyrus rectus, right posterior orbitofrontal cortex, and nucleus accumbens was associated with better executive control performance on the Stroop. Mediation analyses showed that while the relationship between cSBP and Stroop performance was mediated by white matter hyperintensities (WMH), resting-state connectivity of the ECN mediated the relationship between WMH and executive function. Increased connectivity of the left ECN to regions involved in reward processing appears to compensate for the deleterious effects of WMH on executive function in individuals across the burden of cumulative systolic blood pressure exposure in midlife.
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Affiliation(s)
- Lisanne M Jenkins
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611;
| | - Alexandr Kogan
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Matthew Malinab
- Faculty of Applied Sciences, Simon Fraser University, Burnaby, BC, Canada, V5A 1S6
| | - Carson Ingo
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Sanaz Sedaghat
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Nick R Bryan
- Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, PA 19103
| | - Kristine Yaffe
- Weill Institute for Neurosciences, University of California, San Francisco, CA 94121
| | - Todd B Parrish
- Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- McCormick School of Engineering, Northwestern University, Chicago, IL 60208
| | - Alexander J Nemeth
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Lenore J Launer
- Intramural Research Program, National Institute on Aging, Baltimore, MD 20814
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Farzaneh Sorond
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
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26
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Schulz M, Malherbe C, Cheng B, Thomalla G, Schlemm E. Functional connectivity changes in cerebral small vessel disease - a systematic review of the resting-state MRI literature. BMC Med 2021; 19:103. [PMID: 33947394 PMCID: PMC8097883 DOI: 10.1186/s12916-021-01962-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 03/17/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Cerebral small vessel disease (CSVD) is a common neurological disease present in the ageing population that is associated with an increased risk of dementia and stroke. Damage to white matter tracts compromises the substrate for interneuronal connectivity. Analysing resting-state functional magnetic resonance imaging (fMRI) can reveal dysfunctional patterns of brain connectivity and contribute to explaining the pathophysiology of clinical phenotypes in CSVD. MATERIALS AND METHODS This systematic review provides an overview of methods and results of recent resting-state functional MRI studies in patients with CSVD. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol, a systematic search of the literature was performed. RESULTS Of 493 studies that were screened, 44 reports were identified that investigated resting-state fMRI connectivity in the context of cerebral small vessel disease. The risk of bias and heterogeneity of results were moderate to high. Patterns associated with CSVD included disturbed connectivity within and between intrinsic brain networks, in particular the default mode, dorsal attention, frontoparietal control, and salience networks; decoupling of neuronal activity along an anterior-posterior axis; and increases in functional connectivity in the early stage of the disease. CONCLUSION The recent literature provides further evidence for a functional disconnection model of cognitive impairment in CSVD. We suggest that the salience network might play a hitherto underappreciated role in this model. Low quality of evidence and the lack of preregistered multi-centre studies remain challenges to be overcome in the future.
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Affiliation(s)
- Maximilian Schulz
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Caroline Malherbe
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
- Department of Computational Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Eckhard Schlemm
- Department of Neurology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
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27
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Crockett RA, Hsu CL, Dao E, Tam R, Eng JJ, Handy TC, Liu-Ambrose T. Painting by lesions: White matter hyperintensities disrupt functional networks and global cognition. Neuroimage 2021; 236:118089. [PMID: 33882347 DOI: 10.1016/j.neuroimage.2021.118089] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 04/06/2021] [Indexed: 01/08/2023] Open
Abstract
White matter hyperintensities (WMH) are a prominent feature of cerebral small vessel disease and are associated with cognitive impairment. These deficits in cognition may be caused by the disruption of large-scale functional networks due to the presence of WMHs. However, knowledge regarding the relevance of these lesions on functional networks remains inconclusive. These inconsistencies may derive from issues with interpreting functional imaging data from clinical populations. Lesion network mapping is a technique that allows the overlaying of lesions from a patient population to the functional connectivity of a human connectome derived from healthy adults. This allows researchers to identify functional networks that would be disrupted in a healthy population should the WMHs seen in cerebral small vessel disease be present. We hypothesized that the extent to which these functional networks are disrupted by WMHs is associated with cognitive performance in older adults with cerebral small vessel disease. This cross-sectional study combined baseline data from four studies to create a total sample of 164 older adults (aged ≥55) from metropolitan Vancouver with cerebral small vessel disease. Using lesion network mapping, we assessed the percentage overlap between voxels functionally connected with both the WMHs (lesion network) and five common functional networks: (1) visual; (2) dorsal attention; (3) ventral attention; (4) sensorimotor; and (5) frontoparietal. Cognition was assessed using: (1) Montreal Cognitive Assessment (MoCA); (2) Stroop Colour Word Test (3-2); (3) Trail Making Tests (Part B-A); and (4) Digit Symbol Substitution Test. A One-Way ANOVA and Tukey post-hoc tests were performed to identify the functional networks with greatest percentage overlap with the lesion network. Partial correlations controlling for age were used to analyse whether the extent of the overlap between the lesion and functional networks was associated with poorer cognition. The visual, ventral attention, and frontoparietal networks had significantly greater overlap with the lesion network. After controlling for multiple comparisons, level of lesion network overlap with both the sensorimotor network (p<.001) and ventral attention network (p <. 001) was significantly correlated with MoCA score. Thus, the greater the disruption to the sensorimotor and ventral attention networks, the poorer the global cognition. Our results reveal that the visual, ventral attention, and frontoparietal networks are most vulnerable to disruptions stemming from WMHs. Additionally, we identified that disruption to the sensorimotor and ventral attention networks, as a result of WMHs, may underlie deficits in global cognition in older adults with cerebral small vessel disease.
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Affiliation(s)
- Rachel A Crockett
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada; Aging, Mobility, and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Chun Liang Hsu
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
| | - Elizabeth Dao
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada; Aging, Mobility, and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | - Roger Tam
- Department of Radiology, University of British Columbia, Vancouver, Canada
| | - Janice J Eng
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada; Rehabilitation Research Program, GF Strong Rehabilitation Centre, Vancouver Coastal Health Research Institute, Vancouver, Canada
| | - Todd C Handy
- The Attentional Neuroscience Laboratory, University of British Columbia, Vancouver, Canada; Department of Psychology, University of British Columbia, Vancouver, Canada
| | - Teresa Liu-Ambrose
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada; Aging, Mobility, and Cognitive Neuroscience Laboratory, University of British Columbia, Vancouver, Canada; Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada.
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28
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Ewers M, Luan Y, Frontzkowski L, Neitzel J, Rubinski A, Dichgans M, Hassenstab J, Gordon BA, Chhatwal JP, Levin J, Schofield P, Benzinger TLS, Morris JC, Goate A, Karch CM, Fagan AM, McDade E, Allegri R, Berman S, Chui H, Cruchaga C, Farlow M, Graff-Radford N, Jucker M, Lee JH, Martins RN, Mori H, Perrin R, Xiong C, Rossor M, Fox NC, O'Connor A, Salloway S, Danek A, Buerger K, Bateman RJ, Habeck C, Stern Y, Franzmeier N. Segregation of functional networks is associated with cognitive resilience in Alzheimer's disease. Brain 2021; 144:2176-2185. [PMID: 33725114 DOI: 10.1093/brain/awab112] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 11/26/2020] [Accepted: 12/29/2020] [Indexed: 11/14/2022] Open
Abstract
Cognitive resilience is an important modulating factor of cognitive decline in Alzheimer's disease, but the functional brain mechanisms that support cognitive resilience remain elusive. Given previous findings in normal ageing, we tested the hypothesis that higher segregation of the brain's connectome into distinct functional networks represents a functional mechanism underlying cognitive resilience in Alzheimer's disease. Using resting-state functional MRI, we assessed both resting-state functional MRI global system segregation, i.e. the balance of between-network to within-network connectivity, and the alternate index of modularity Q as predictors of cognitive resilience. We performed all analyses in two independent samples for validation: (i) 108 individuals with autosomal dominantly inherited Alzheimer's disease and 71 non-carrier controls; and (ii) 156 amyloid-PET-positive subjects across the spectrum of sporadic Alzheimer's disease and 184 amyloid-negative controls. In the autosomal dominant Alzheimer's disease sample, disease severity was assessed by estimated years from symptom onset. In the sporadic Alzheimer's sample, disease stage was assessed by temporal lobe tau-PET (i.e. composite across Braak stage I and III regions). In both samples, we tested whether the effect of disease severity on cognition was attenuated at higher levels of functional network segregation. For autosomal dominant Alzheimer's disease, we found higher functional MRI-assessed system segregation to be associated with an attenuated effect of estimated years from symptom onset on global cognition (P = 0.007). Similarly, for patients with sporadic Alzheimer's disease, higher functional MRI-assessed system segregation was associated with less decrement in global cognition (P = 0.001) and episodic memory (P = 0.004) per unit increase of temporal lobe tau-PET. Confirmatory analyses using the alternate index of modularity Q revealed consistent results. In conclusion, higher segregation of functional connections into distinct large-scale networks supports cognitive resilience in Alzheimer's disease.
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Affiliation(s)
- Michael Ewers
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Ying Luan
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, Munich, Germany
| | - Lukas Frontzkowski
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, Munich, Germany
| | - Julia Neitzel
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, Munich, Germany
| | - Anna Rubinski
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, Munich, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster for Systems Neurology, SyNergy, Ludwig-Maximilian-University LMU, Munich, Germany
| | - Jason Hassenstab
- Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.,Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA.,Department of Psychological and Brain Sciences, Washington University, St. Louis, MO, USA
| | - Brian A Gordon
- Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.,Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA.,Department of Psychological and Brain Sciences, Washington University, St. Louis, MO, USA
| | - Jasmeer P Chhatwal
- Massachusetts General Hospital, Department of Neurology, Harvard Medical School, MA, USA
| | - Johannes Levin
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Peter Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia.,School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Tammie L S Benzinger
- Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.,Department of Radiology, Washington University in St Louis, St Louis, MO, USA
| | - John C Morris
- Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.,Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA.,Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Alison Goate
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Ronald M. Loeb Center for Alzheimer's Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Celeste M Karch
- Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.,Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA
| | - Anne M Fagan
- Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.,Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA
| | - Eric McDade
- Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.,Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Ricardo Allegri
- Department of Neurology, FLENI Fondation, Buenos Aires, Argentina
| | - Sarah Berman
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Helena Chui
- Alzheimer's Disease Research Center, Keck School of Medicine at the University of Southern California, Los Angeles, CA, USA.,Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carlos Cruchaga
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA.,Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA.,NeuroGenomics and Informatics, Washington University School of Medicine, St. Louis, MO, USA
| | - Marty Farlow
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Mathias Jucker
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, Tübingen, Germany.,Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Jae-Hong Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Ralph N Martins
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.,Australian Alzheimer's Research Foundation, Ralph and Patricia Sarich Neuroscience Research Institute, Nedlands, WA, Australia.,Department of Biomedical Sciences, Macquarie University, Sydney, NSW, Australia.,KaRa Institute of Neurological Diseases, Sydney, NSW, Australia
| | - Hiroshi Mori
- Department of Clinical Neuroscience, Osaka City University Medical School, Osaka, Japan
| | - Richard Perrin
- Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.,Hope Center for Neurological Disorders, Washington University in St. Louis, St. Louis, MO, USA.,Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Chengjie Xiong
- Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.,Department of Biostatistics, Washington University, St Louis, MO, USA
| | - Martin Rossor
- Dementia Research Centre, University College London, Queen Square, London, UK
| | - Nick C Fox
- Dementia Research Centre, University College London, Queen Square, London, UK
| | - Antoinette O'Connor
- Dementia Research Centre, University College London, Queen Square, London, UK.,UK Dementia Research Institute at UCL, UCL, London, UK
| | - Stephen Salloway
- Department of Neurology, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Katharina Buerger
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Randall J Bateman
- Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.,Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Christian Habeck
- Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, USA
| | - Yaakov Stern
- Cognitive Neuroscience Division, Department of Neurology, Columbia University, New York, NY, USA
| | - Nicolai Franzmeier
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilian-University LMU, Munich, Germany
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29
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Gaubert M, Lange C, Garnier-Crussard A, Köbe T, Bougacha S, Gonneaud J, de Flores R, Tomadesso C, Mézenge F, Landeau B, de la Sayette V, Chételat G, Wirth M. Topographic patterns of white matter hyperintensities are associated with multimodal neuroimaging biomarkers of Alzheimer's disease. ALZHEIMERS RESEARCH & THERAPY 2021; 13:29. [PMID: 33461618 PMCID: PMC7814451 DOI: 10.1186/s13195-020-00759-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 12/23/2020] [Indexed: 12/26/2022]
Abstract
Background White matter hyperintensities (WMH) are frequently found in Alzheimer’s disease (AD). Commonly considered as a marker of cerebrovascular disease, regional WMH may be related to pathological hallmarks of AD, including beta-amyloid (Aβ) plaques and neurodegeneration. The aim of this study was to examine the regional distribution of WMH associated with Aβ burden, glucose hypometabolism, and gray matter volume reduction. Methods In a total of 155 participants (IMAP+ cohort) across the cognitive continuum from normal cognition to AD dementia, FLAIR MRI, AV45-PET, FDG-PET, and T1 MRI were acquired. WMH were automatically segmented from FLAIR images. Mean levels of neocortical Aβ deposition (AV45-PET), temporo-parietal glucose metabolism (FDG-PET), and medial-temporal gray matter volume (GMV) were extracted from processed images using established AD meta-signature templates. Associations between AD brain biomarkers and WMH, as assessed in region-of-interest and voxel-wise, were examined, adjusting for age, sex, education, and systolic blood pressure. Results There were no significant associations between global Aβ burden and region-specific WMH. Voxel-wise WMH in the splenium of the corpus callosum correlated with greater Aβ deposition at a more liberal threshold. Region- and voxel-based WMH in the posterior corpus callosum, along with parietal, occipital, and frontal areas, were associated with lower temporo-parietal glucose metabolism. Similarly, lower medial-temporal GMV correlated with WMH in the posterior corpus callosum in addition to parietal, occipital, and fontal areas. Conclusions This study demonstrates that local white matter damage is correlated with multimodal brain biomarkers of AD. Our results highlight modality-specific topographic patterns of WMH, which converged in the posterior white matter. Overall, these cross-sectional findings corroborate associations of regional WMH with AD-typical Aß deposition and neurodegeneration.
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Affiliation(s)
- Malo Gaubert
- German Center for Neurodegenerative Diseases, Dresden, Germany.,Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, LMU University Hospital Munich, Ludwig-Maximilians-Universität, Munich, Germany
| | - Catharina Lange
- German Center for Neurodegenerative Diseases, Dresden, Germany. .,Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.
| | - Antoine Garnier-Crussard
- Inserm UMR-S U1237, Caen-Normandie University, GIP Cyceron, Caen, France.,Clinical and Research Memory Center of Lyon, Lyon Institute for Elderly, Hospices Civils de Lyon, Lyon, France
| | - Theresa Köbe
- German Center for Neurodegenerative Diseases, Dresden, Germany
| | - Salma Bougacha
- Inserm UMR-S U1237, Caen-Normandie University, GIP Cyceron, Caen, France
| | - Julie Gonneaud
- Inserm UMR-S U1237, Caen-Normandie University, GIP Cyceron, Caen, France
| | - Robin de Flores
- Inserm UMR-S U1237, Caen-Normandie University, GIP Cyceron, Caen, France
| | - Clémence Tomadesso
- Inserm UMR-S U1237, Caen-Normandie University, GIP Cyceron, Caen, France
| | - Florence Mézenge
- Inserm UMR-S U1237, Caen-Normandie University, GIP Cyceron, Caen, France
| | - Brigitte Landeau
- Inserm UMR-S U1237, Caen-Normandie University, GIP Cyceron, Caen, France
| | - Vincent de la Sayette
- Normandy University, UNICAEN, PSL Research University, EPHE, INSERM, U1077, CHU of Caen, Neuropsychology and Imaging of Human Memory, Caen, France
| | - Gaël Chételat
- Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany.
| | - Miranka Wirth
- German Center for Neurodegenerative Diseases, Dresden, Germany.
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Neural correlates of resilience to the effects of hippocampal atrophy on memory. NEUROIMAGE-CLINICAL 2020; 29:102526. [PMID: 33360019 PMCID: PMC7770959 DOI: 10.1016/j.nicl.2020.102526] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/08/2020] [Accepted: 12/03/2020] [Indexed: 12/22/2022]
Abstract
Higher reserve scores relate to activation of the right inferior temporal gyri. Higher reserve scores relate to activation of the left occipital fusiform gyri. The temporal activation moderates the effect of hippocampal volume on memory. Recruitment of the temporal lobe protects against hippocampal atrophy. Temporal activation supports cognitive reserve to sustains memory performance.
Introduction Cognitive reserve can be defined as a property of the brain that enables an individual to sustain cognitive performance in spite of age-related neural changes. This study uses brain imaging to identify which cognitive reserve mechanisms protect against the detrimental effect of hippocampal atrophy on associative memory. Methods The study included 108 older adults from the Quebec Consortium for the early identification of Alzheimer’s disease. They received a magnetic resonance imaging examination to measure memory-related activations and hippocampal volume. Participants also completed a reserve-proxy questionnaire, and received a comprehensive clinical assessment. Results Higher scores on the reserve questionnaire were associated with more activation in the right inferior temporal and left occipital fusiform gyri. The activation of the right temporal gyrus moderated the relationship between the volume of the hippocampus and face-name memory. A smaller volume was associated with weaker memory in participants with lower activation, but not in those with greater activation. Discussion Recruitment of the temporal lobe protects against the detrimental effect of hippocampal atrophy on associative memory and contributes to cognitive reserve.
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Kumar D, Vipin A, Wong B, Ng KP, Kandiah N. Differential Effects of Confluent and Nonconfluent White Matter Hyperintensities on Functional Connectivity in Mild Cognitive Impairment. Brain Connect 2020; 10:547-554. [PMID: 33050714 DOI: 10.1089/brain.2020.0784] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Background: White matter hyperintensities (WMHs) indicate active small vessel disease. Emerging evidence suggests that confluent WMH (C-WMH) results in greater cognitive impairment compared with nonconfluent WMH (NC-WMH) visualized as punctate lesions. However, the mechanism linking C-WMH and early cognitive impairment is not clearly understood. Aims: To investigate the effects of C-WMH and NC-WMH on whole-brain functional connectivity (FC) across 138 regions of interest (ROIs) and cognition in 63 subjects with mild cognitive impairment (MCI). Methods: MCI subjects were classified as C-WMH or NC-WMH using the Staals criteria on the Fazekas WMH scale. Group-level ROI-to-ROI FC trends and differences based on WMH subtypes were computed using standard resting-state functional magnetic resonance imaging analysis. Global cognitive performance was measured with mini-mental state examination (MMSE). Results: Subjects with C-WMH exhibited increased inter-regional FC in the fronto-parietal, fronto-occipital, parieto-occipital, and temporo-parietal regions of the salience, dorsal-attention, default-mode, and visual networks compared with NC-WMH. Increased intra-regional FC was also observed within the frontal and parietal lobes in C-WMH. In addition to widespread increased FC in C-WMH, a few regions in the fronto-temporal and intra-frontal areas demonstrated reduced FC in C-WMH compared with NC-WMH. Analyses of cognitive correlates demonstrated increased parieto-occipital FC to be negatively associated with MMSE in the C-WMH. The increased parieto-occipital FC may be related to loss of higher order inhibitory control in the parieto-occipital regions induced by C-WMH or alternatively a compensatory mechanism to FC alterations induced by C-WMH. Conclusion: C-WMH in subjects with MCI is associated with widespread increase in intra- and inter-regional FC. These findings provide novel insights into divergent FC related to confluence of WMH in MCI. Impact statement White matter hyperintensities (WMHs) have been demonstrated to be a major risk factor for progressive cognitive decline. However, the relationship between structural and functional brain changes related to different types of WMH lesions as well as different stages of WMH progression remains unclear. In this study, we demonstrate that confluent WMH is significantly associated with divergent functional connectivity changes in patients with mild cognitive impairment (MCI). This finding may allow identification of MCI subjects who are adversely affected by WMH and thus provides a window of opportunity to introduce pharmacological and nonpharmacological interventional measures.
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Affiliation(s)
- Dilip Kumar
- National Neuroscience Institute, Neurology and Research Departments, Singapore, Singapore
| | - Ashwati Vipin
- National Neuroscience Institute, Neurology and Research Departments, Singapore, Singapore
| | - Benjamin Wong
- National Neuroscience Institute, Neurology and Research Departments, Singapore, Singapore
| | - Kok Pin Ng
- National Neuroscience Institute, Neurology and Research Departments, Singapore, Singapore.,Duke-NUS Medical School, Neuroscience Academic Clinical Programme, Singapore, Singapore
| | - Nagaendran Kandiah
- National Neuroscience Institute, Neurology and Research Departments, Singapore, Singapore.,Duke-NUS Medical School, Neuroscience Academic Clinical Programme, Singapore, Singapore.,NTU-Imperial Lee Kong Chian School of Medicine, Faculty, Singapore, Singapore
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de Lange AMG, Anatürk M, Suri S, Kaufmann T, Cole JH, Griffanti L, Zsoldos E, Jensen DEA, Filippini N, Singh-Manoux A, Kivimäki M, Westlye LT, Ebmeier KP. Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study. Neuroimage 2020; 222:117292. [PMID: 32835819 PMCID: PMC8121758 DOI: 10.1016/j.neuroimage.2020.117292] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 08/14/2020] [Accepted: 08/17/2020] [Indexed: 12/21/2022] Open
Abstract
Brain age is becoming a widely applied imaging-based biomarker of neural aging and potential proxy for brain integrity and health. We estimated multimodal and modality-specific brain age in the Whitehall II (WHII) MRI cohort using machine learning and imaging-derived measures of gray matter (GM) morphology, white matter microstructure (WM), and resting state functional connectivity (FC). The results showed that the prediction accuracy improved when multiple imaging modalities were included in the model (R2 = 0.30, 95% CI [0.24, 0.36]). The modality-specific GM and WM models showed similar performance (R2 = 0.22 [0.16, 0.27] and R2 = 0.24 [0.18, 0.30], respectively), while the FC model showed the lowest prediction accuracy (R2 = 0.002 [-0.005, 0.008]), indicating that the FC features were less related to chronological age compared to structural measures. Follow-up analyses showed that FC predictions were similarly low in a matched sub-sample from UK Biobank, and although FC predictions were consistently lower than GM predictions, the accuracy improved with increasing sample size and age range. Cardiovascular risk factors, including high blood pressure, alcohol intake, and stroke risk score, were each associated with brain aging in the WHII cohort. Blood pressure showed a stronger association with white matter compared to gray matter, while no differences in the associations of alcohol intake and stroke risk with these modalities were observed. In conclusion, machine-learning based brain age prediction can reduce the dimensionality of neuroimaging data to provide meaningful biomarkers of individual brain aging. However, model performance depends on study-specific characteristics including sample size and age range, which may cause discrepancies in findings across studies.
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Affiliation(s)
- Ann-Marie G de Lange
- Department of Psychiatry, University of Oxford, Oxford, UK; Department of Psychology, University of Oslo, Oslo, Norway; NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
| | - Melis Anatürk
- Department of Psychiatry, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Sana Suri
- Department of Psychiatry, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Tobias Kaufmann
- NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - James H Cole
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK; Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Ludovica Griffanti
- Department of Psychiatry, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Daria E A Jensen
- Department of Psychiatry, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Nicola Filippini
- Department of Psychiatry, University of Oxford, Oxford, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Archana Singh-Manoux
- Epidemiology of Ageing and Neurodegenerative Diseases, Universit de Paris, INSERM U1153, Paris France; Department of Epidemiology and Public Health, University College London, London, UK
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Lars T Westlye
- Department of Psychology, University of Oslo, Oslo, Norway; NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
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Porcu M, Operamolla A, Scapin E, Garofalo P, Destro F, Caneglias A, Suri JS, Falini A, Defazio G, Marrosu F, Saba L. Effects of White Matter Hyperintensities on Brain Connectivity and Hippocampal Volume in Healthy Subjects According to Their Localization. Brain Connect 2020; 10:436-447. [DOI: 10.1089/brain.2020.0774] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Michele Porcu
- Department of Radiology, Azienda Ospedaliera Universitaria di Cagliari, University of Cagliari, Cagliari, Italy
| | - Annunziata Operamolla
- Department of Radiology, Azienda Ospedaliera Universitaria di Cagliari, University of Cagliari, Cagliari, Italy
| | - Elisa Scapin
- Department of Radiology, Azienda Ospedaliera Universitaria di Cagliari, University of Cagliari, Cagliari, Italy
| | - Paolo Garofalo
- Department of Radiology, Azienda Ospedaliera Universitaria di Cagliari, University of Cagliari, Cagliari, Italy
| | - Francesco Destro
- Department of Radiology, Azienda Ospedaliera Universitaria di Cagliari, University of Cagliari, Cagliari, Italy
| | - Alessandro Caneglias
- Department of Radiology, Azienda Ospedaliera Universitaria di Cagliari, University of Cagliari, Cagliari, Italy
| | - Jasjit S. Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoint™ LLC, Roseville, California, USA
| | - Andrea Falini
- Department of Neuroradiology, Università Vita-Salute San Raffaele, Milan, Italy
| | - Giovanni Defazio
- Department of Neurology, Azienda Ospedaliera Universitaria di Cagliari, University of Cagliari, Cagliari, Italy
| | - Francesco Marrosu
- Stroke Monitoring and Diagnostic Division, AtheroPoint™ LLC, Roseville, California, USA
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliera Universitaria di Cagliari, University of Cagliari, Cagliari, Italy
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Shi Q, Chen H, Jia Q, Yuan Z, Wang J, Li Y, Han Z, Mo D, Zhang Y. Altered Granger Causal Connectivity of Resting-State Neural Networks in Patients With Leukoaraiosis-Associated Cognitive Impairment-A Cross-Sectional Study. Front Neurol 2020; 11:457. [PMID: 32655471 PMCID: PMC7325959 DOI: 10.3389/fneur.2020.00457] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 04/29/2020] [Indexed: 12/17/2022] Open
Abstract
Background: The purpose of this study was to provide an imaging reference for the measurement of disease progression, as well as to reveal the pathogenesis of leukoaraiosis (LA). Methods: Eighty-seven subjects were divided into three groups: LA patients with vascular dementia (LA-VaD) (20 subjects: 14 female, 6 male), LA patients with vascular cognitive impairment nondementia (LA-VCIND) (32 subjects: 14 male, 18 female), and normal controls (NC) (35 subjects: 14 male, 21 female). A multivariate Granger causality analysis (mGCA) was applied to the resting-state networks (RSNs) to evaluate the possible effective connectivity within the resting-state networks retrieved by independent component analysis (ICA) from resting-state functional magnetic resonance imaging (rs-fMRI) data. Results: Ten RSNs were identified: the primary visual network, secondary visual network, auditory network, sensorimotor network, anterior default mode network, posterior default mode network, salience network, dorsal attention network, left working memory network, and the right working memory network. Using independent component analysis, significant average Z scores were found in the anterior default mode network, salience network, dorsal attention network, and right working memory network between LA-VAD and NC groups. The functional connectivity (FC) strength of the networks was different between the NC, LA-VCIND, and LA-VaD groups. Effective connectivity between RSNs was compensated by either increased or decreased effective connectivity changes in these three groups. Conclusions: The components of resting-state networks kept changing as the disease progressed. Meanwhile, the activation intensity increased at the early stage of LA and decreased as patients' cognitive impairment aggravated. Furthermore, the direction and strength of connections between these networks changed and remodeled differently. These suggest that the human brain compensates for specific functional changes at different stages.
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Affiliation(s)
- Qingli Shi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Neurology, Beijing Pinggu Hospital, Beijing, China
| | - Hongyan Chen
- Department of Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qian Jia
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zinan Yuan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jinfang Wang
- Department of Neurology, General Hospital of The Yang Tze River Shipping, Wuhan Brain Hospital, Wuhan, China
| | - Yuexiu Li
- Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Center of Stroke, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Zaizhu Han
- State Key Laboratory for Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Dapeng Mo
- Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yumei Zhang
- Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Center of Stroke, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
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Liu Y, Hu G, Yu Y, Jiang Z, Yang K, Hu X, Li Z, Liu D, Zou Y, Liu H, Chen J. Structural and Functional Reorganization Within Cognitive Control Network Associated With Protection of Executive Function in Patients With Unilateral Frontal Gliomas. Front Oncol 2020; 10:794. [PMID: 32528887 PMCID: PMC7266965 DOI: 10.3389/fonc.2020.00794] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 04/22/2020] [Indexed: 11/18/2022] Open
Abstract
Background: The cognitive control network (CCN) is widely considered to be a frontoparietal circuit that is involved in executive function. This study aimed to investigate the structural and functional plasticity within the CCN in unilateral frontal gliomas, which are associated with the protection of executive functions. Methods: To detect structural and functional changes within the CCN, we measured gray matter (GM) volume, regional homogeneity, the amplitude of low-frequency fluctuation (ALFF), degree centrality, and functional connectivity within the CCN in 37 patients with gliomas invading the left frontal lobe (n = 16) or the right frontal lobe (n = 21) and 40 healthy controls (CNs). Partial correlation analysis was performed to assess the association between the altered structural and functional indices and executive function. Results: When the tumor invaded the left frontal lobe, the patients showed reduced ALFF in the dorsal medial prefrontal cortex (dmPFC) within the CCN and increased ALFF in the right superior parietal cortex (rSP) within the CCN compared to the CNs. When the tumor invaded the right frontal lobe, the patients showed significantly increased GM volume and ALFF in the left superior parietal cortex (lSP) within the CCN compared to the CNs. Furthermore, the patients showed significantly increased functional connectivities between the lSP and the dmPFC and between the lSP and the rSP within the CCN compared to the CNs. Increased ALFF in the lSP within the CCN was positively correlated with executive function. Conclusions: Tumors invading the frontal lobe induced contralesional structural and functional reorganization within the posterior CCN in patients with unilateral frontal gliomas. This further suggests that the contralesional superior parietal cortex acts as a functional compensation hub within the CCN, which may protect it against the detrimental effects of tumor invasion on executive functions.
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Affiliation(s)
- Yong Liu
- Department of Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China
| | - Guanjie Hu
- Department of Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China.,Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yun Yu
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Zijuan Jiang
- Department of Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Kun Yang
- Department of Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China
| | - Xinhua Hu
- Department of Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China
| | - Zonghong Li
- Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China.,Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Dongming Liu
- Department of Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yuanjie Zou
- Department of Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China
| | - Hongyi Liu
- Department of Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China
| | - Jiu Chen
- Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, China.,Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Rakesh D, Fernando KB, Mansour L S. Functional dedifferentiation of the brain during healthy aging. J Neurophysiol 2020; 123:1279-1282. [PMID: 32130084 DOI: 10.1152/jn.00039.2020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Nonpathological aging is associated with significant cognitive deficits. Thus, the underlying neurobiology of aging-associated cognitive decline warrants investigation. In a recent study, Chong et al. (Chong JSX, Ng KK, Tandi J, Wang C, Poh J-H, Lo JC, Chee MWL, Zhou JH. J Neurosci 39: 5534-5550, 2019) provided insights into the association between cognitive decline and the loss of functional specialization in the brains of older adults. Here, we introduce the novel graph theoretical approach utilized and discuss the significance of their findings and broader implications on aging. We also provide alternate perspectives of their findings and suggest directions for future work.
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Affiliation(s)
- Divyangana Rakesh
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health
| | - Kavisha B Fernando
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health
| | - Sina Mansour L
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health.,Department of Biomedical Engineering, University of Melbourne
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Abstract
PURPOSE OF REVIEW Epidemiological evidence suggests that higher reserve significantly delays the dementia onset in Alzheimer's disease. Yet, confusion in terminology of reserve and related concepts exists and the lack of quantitative measures and unclear neural substrates of reserve have hampered progress. We review here the latest advances in the concept, measures and functional brain mechanisms of reserve, as well as their moderating factors including sex and gender. RECENT FINDINGS The definition of reserve has been revised towards a more simplified concept, and the development of quantitative measurements of a cognitive advantage in disease has been advanced. Functional MRI and FDG-PET studies have provided for the first time converging evidence for the involvement of the cognitive control and salience network and temporal pole in reserve. Women tend to show lower resilience than men at advanced stages of AD. SUMMARY Neuroimaging studies have provided substantial evidence for putative brain mechanisms supporting reserve in Alzheimer's disease. However, the findings are still somewhat disparate and call for the development of unifying and testable theory of functional and structural brain properties that subserve reserve. Sex differences emerged as a moderating factor of reserve in Alzheimer's disease and need to be made a major research focus in Alzheimer's disease.
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Porcu M, Garofalo P, Craboledda D, Suri JS, Suri HS, Montisci R, Sanfilippo R, Saba L. Carotid artery stenosis and brain connectivity: the role of white matter hyperintensities. Neuroradiology 2019; 62:377-387. [DOI: 10.1007/s00234-019-02327-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Accepted: 11/18/2019] [Indexed: 12/24/2022]
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Chavda R, Cao JS, Benge JF. Neuropsychological impact of white matter hyperintensities in older adults without dementia. APPLIED NEUROPSYCHOLOGY-ADULT 2019; 28:354-362. [PMID: 31287337 DOI: 10.1080/23279095.2019.1633536] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
The purpose of this study was to determine (a) if simple clinical judgements of white matter hyperintensities (WMH) on imaging are associated with measurable cognitive impacts in otherwise cognitively normal older adults, (b) if neuropsychological measures can predict those with WMH, and (c) the frequency of low cognitive scores in those with WMH on a battery of measures. Forty-four individuals judged free of other cognitive disorders despite moderate to extensive WMH were compared with 50 individuals matched on age (mean of 83), education (college educated), and gender (predominantly female). Data was obtained from the National Alzheimer's Coordinating Center database. The group with at least moderate WMH had lower scores on the Trail Making Test A, verbal fluency, and digit span. A component score derived from these measures was a significant predictor of the presence of WMH, though only correctly classified 68% of participants. Even in individuals free from other suspected conditions, clinically judged moderate to extensive WMH was associated with cognitive weaknesses for processing speed, working memory, and executive functioning. This shows that a relatively simple judgment of WMH burden is meaningfully associated with worse cognition. Implications and future directions for are discussed.
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Affiliation(s)
- Rihin Chavda
- College of Medicine, Texas A&M Health Science Center, Temple, Texas, USA
| | - Jeffrey S Cao
- College of Medicine, Texas A&M Health Science Center, Temple, Texas, USA
| | - Jared F Benge
- College of Medicine, Texas A&M Health Science Center, Temple, Texas, USA.,Department of Neurology and Plummer Movement Disorders Center, Baylor Scott and White Health, Temple, Texas, USA
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Wang Y, Jiang L, Wang XY, Chen W, Shao Y, Chen QK, Lv JL. Evidence of altered brain network centrality in patients with diabetic nephropathy and retinopathy: an fMRI study using a voxel-wise degree centrality approach. Ther Adv Endocrinol Metab 2019; 10:2042018819865723. [PMID: 31384421 PMCID: PMC6661786 DOI: 10.1177/2042018819865723] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 07/03/2019] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Over recent years, some researchers believe that diabetic nephropathy (DN) and diabetic retinopathy (DR) both independently increase the incidence of brain diseases, such as stroke, cerebral infarction, and cerebral hemorrhage. In the present study, we used the voxel-wise degree centrality (DC) method to investigate potential changes of functional network brain activity in patients with DN and retinopathy (DNR). METHODS Twenty DNR patients (9 men, 11 women) and 20 healthy controls (HCs; 9 men, 11 women) were recruited; the controls were matched for age, sex, and educational background. All subjects underwent resting-state functional magnetic resonance imaging. Ophthalmoscopy, renal biopsy and single-photon emission computed tomography were used to evaluate microvascular lesions in the eye and kidney. Data were categorized using receiver operating characteristic curves, and correlation analysis was performed using Pearson's correlation analysis. RESULTS Compared with HCs, DNR patients showed reduced mean DC values in the right inferior temporal gyrus (RITG) and left subcallosal gyrus regions (LSG) and increased mean DC values in the bilateral precuneus (BP). Moreover, mean DC in the BP was correlated with renal estimated glomerular filtration rate (eGFR; r = 0.762). The area under the curve (AUC) value was 0.829 for BP and 0.839 for RITG and LSG. CONCLUSION DNR patients showed dysfunction in three different brain regions. The linear correlation between eGFR and mean brain DC values indicates the presence of common diabetic microangiopathy in the brain and kidney, which may provide new ideas for multiorgan microvascular lesions of diabetics.
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Affiliation(s)
- Yu Wang
- Department of Nephrology, The First Affiliated
Hospital of Nanchang University, Jiangxi, China
| | - Lei Jiang
- Department of Nephrology, The First Affiliated
Hospital of Nanchang University, Jiangxi, China
| | - Xiao-yu Wang
- Department of Nephrology, The First Affiliated
Hospital of Nanchang University, Jiangxi, China
| | - Weizhe Chen
- Department of Nephrology, The First Affiliated
Hospital of Nanchang University, Jiangxi, China
| | - Yi Shao
- Department of Ophthalmology, The First
Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Qin-kai Chen
- Department of Nephrology, The First Affiliated
Hospital of Nanchang University, Jiangxi, China
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Son SJ, Park B, Choi JW, Roh HW, Kim NR, Sin JE, Kim H, Lim HK, Hong CH. Psychological Resilience Enhances the Orbitofrontal Network in the Elderly With Mild Cognitive Impairment. Front Psychiatry 2019; 10:615. [PMID: 31555158 PMCID: PMC6726738 DOI: 10.3389/fpsyt.2019.00615] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 08/01/2019] [Indexed: 12/25/2022] Open
Abstract
Background: It has been suggested that maintaining the efficient organization of the brain's functional connectivity (FC) supports neuroflexibility under neurogenerative stress. This study examined psychological resilience-related FC in 112 older adults with mild cognitive impairment (MCI). Methods: Using a resting-state functional magnetic resonance imaging (fMRI) approach, we investigated reorganization of the orbitofrontal gyrus (OFG)/amygdala (AMG)/hippocampus (HP)/parahippocampal gyrus (PHG) FC according to the different levels of resilience scale. Results: Compared with the low resilient group, the high resilient group had greater connectivity strengths between the left inferior OFG and right superior OFG (P < 0.05, Bonferroni corrected), between the right inferior OFG and left PHG (P < 0.05, Bonferroni corrected), and between the right middle OFG and left PHG (false discovery rate < 0.05). Conclusion: Psychological resilience may be associated with enhancement of the orbitofrontal network in the elderly with MCI.
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Affiliation(s)
- Sang Joon Son
- Department of Psychiatry, Ajou University School of Medicine, Suwon, South Korea
| | - Bumhee Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea.,Office of Biostatistics, Ajou University School of Medicine, Suwon, South Korea
| | - Jin Wook Choi
- Department of Radiology, Ajou University School of Medicine, Suwon, South Korea
| | - Hyun Woong Roh
- Department of Brain Science, Ajou University School of Medicine, Suwon, South Korea
| | - Na-Rae Kim
- Department of Psychiatry, Ajou University School of Medicine, Suwon, South Korea
| | - Jae Eun Sin
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea
| | - Haena Kim
- Department of Psychiatry, Ajou University School of Medicine, Suwon, South Korea
| | - Hyun Kook Lim
- Department of Psychiatry, The Catholic University of Korea College of Medicine, Yeouido St. Mary's Hospital, Seoul, South Korea
| | - Chang Hyung Hong
- Department of Psychiatry, Ajou University School of Medicine, Suwon, South Korea
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