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Katsumi Y, Howe IA, Eckbo R, Wong B, Quimby M, Hochberg D, McGinnis SM, Putcha D, Wolk DA, Touroutoglou A, Dickerson BC. Default mode network tau predicts future clinical decline in atypical early Alzheimer's disease. medRxiv 2024:2024.04.17.24305620. [PMID: 38699357 PMCID: PMC11065041 DOI: 10.1101/2024.04.17.24305620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Identifying individuals with early stage Alzheimer's disease (AD) at greater risk of steeper clinical decline would allow professionals and loved ones to make better-informed medical, support, and life planning decisions. Despite accumulating evidence on the clinical prognostic value of tau PET in typical late-onset amnestic AD, its utility in predicting clinical decline in individuals with atypical forms of AD remains unclear. In this study, we examined the relationship between baseline tau PET signal and the rate of subsequent clinical decline in a sample of 48 A + /T + /N + patients with mild cognitive impairment or mild dementia due to AD with atypical clinical phenotypes (Posterior Cortical Atrophy, logopenic variant Primary Progressive Aphasia, and amnestic syndrome with multi-domain impairment and age of onset < 65 years). All patients underwent structural magnetic resonance imaging (MRI), tau ( 18 F-Flortaucipir) PET, and amyloid (either 18 F-Florbetaben or 11 C-Pittsburgh Compound B) PET scans at baseline. Each patient's longitudinal clinical decline was assessed by calculating the annualized change in the Clinical Dementia Rating Sum-of-Boxes (CDR-SB) scores from baseline to follow-up (mean time interval = 14.55 ± 3.97 months). Our sample of early atypical AD patients showed an increase in CDR-SB by 1.18 ± 1.25 points per year: t (47) = 6.56, p < .001, d = 0.95. These AD patients showed prominent baseline tau burden in posterior cortical regions including the major nodes of the default mode network, including the angular gyrus, posterior cingulate cortex/precuneus, and lateral temporal cortex. Greater baseline tau in the broader default mode network predicted faster clinical decline. Tau in the default mode network was the strongest predictor of clinical decline, outperforming baseline clinical impairment, tau in other functional networks, and the magnitude of cortical atrophy and amyloid burden in the default mode network. Overall, these findings point to the contribution of baseline tau burden within the default mode network of the cerebral cortex to predicting the magnitude of clinical decline in a sample of atypical early AD patients one year later. This simple measure based on a tau PET scan could aid the development of a personalized prognostic, monitoring, and treatment plan tailored to each individual patient, which would help clinicians not only predict the natural evolution of the disease but also estimate the effect of disease-modifying therapies on slowing subsequent clinical decline given the patient's tau burden while still early in the disease course.
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Schiller D, Yu ANC, Alia-Klein N, Becker S, Cromwell HC, Dolcos F, Eslinger PJ, Frewen P, Kemp AH, Pace-Schott EF, Raber J, Silton RL, Stefanova E, Williams JHG, Abe N, Aghajani M, Albrecht F, Alexander R, Anders S, Aragón OR, Arias JA, Arzy S, Aue T, Baez S, Balconi M, Ballarini T, Bannister S, Banta MC, Barrett KC, Belzung C, Bensafi M, Booij L, Bookwala J, Boulanger-Bertolus J, Boutros SW, Bräscher AK, Bruno A, Busatto G, Bylsma LM, Caldwell-Harris C, Chan RCK, Cherbuin N, Chiarella J, Cipresso P, Critchley H, Croote DE, Demaree HA, Denson TF, Depue B, Derntl B, Dickson JM, Dolcos S, Drach-Zahavy A, Dubljević O, Eerola T, Ellingsen DM, Fairfield B, Ferdenzi C, Friedman BH, Fu CHY, Gatt JM, de Gelder B, Gendolla GHE, Gilam G, Goldblatt H, Gooding AEK, Gosseries O, Hamm AO, Hanson JL, Hendler T, Herbert C, Hofmann SG, Ibanez A, Joffily M, Jovanovic T, Kahrilas IJ, Kangas M, Katsumi Y, Kensinger E, Kirby LAJ, Koncz R, Koster EHW, Kozlowska K, Krach S, Kret ME, Krippl M, Kusi-Mensah K, Ladouceur CD, Laureys S, Lawrence A, Li CSR, Liddell BJ, Lidhar NK, Lowry CA, Magee K, Marin MF, Mariotti V, Martin LJ, Marusak HA, Mayer AV, Merner AR, Minnier J, Moll J, Morrison RG, Moore M, Mouly AM, Mueller SC, Mühlberger A, Murphy NA, Muscatello MRA, Musser ED, Newton TL, Noll-Hussong M, Norrholm SD, Northoff G, Nusslock R, Okon-Singer H, Olino TM, Ortner C, Owolabi M, Padulo C, Palermo R, Palumbo R, Palumbo S, Papadelis C, Pegna AJ, Pellegrini S, Peltonen K, Penninx BWJH, Pietrini P, Pinna G, Lobo RP, Polnaszek KL, Polyakova M, Rabinak C, Helene Richter S, Richter T, Riva G, Rizzo A, Robinson JL, Rosa P, Sachdev PS, Sato W, Schroeter ML, Schweizer S, Shiban Y, Siddharthan A, Siedlecka E, Smith RC, Soreq H, Spangler DP, Stern ER, Styliadis C, Sullivan GB, Swain JE, Urben S, Van den Stock J, Vander Kooij MA, van Overveld M, Van Rheenen TE, VanElzakker MB, Ventura-Bort C, Verona E, Volk T, Wang Y, Weingast LT, Weymar M, Williams C, Willis ML, Yamashita P, Zahn R, Zupan B, Lowe L. The Human Affectome. Neurosci Biobehav Rev 2024; 158:105450. [PMID: 37925091 PMCID: PMC11003721 DOI: 10.1016/j.neubiorev.2023.105450] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 11/06/2023]
Abstract
Over the last decades, theoretical perspectives in the interdisciplinary field of the affective sciences have proliferated rather than converged due to differing assumptions about what human affective phenomena are and how they work. These metaphysical and mechanistic assumptions, shaped by academic context and values, have dictated affective constructs and operationalizations. However, an assumption about the purpose of affective phenomena can guide us to a common set of metaphysical and mechanistic assumptions. In this capstone paper, we home in on a nested teleological principle for human affective phenomena in order to synthesize metaphysical and mechanistic assumptions. Under this framework, human affective phenomena can collectively be considered algorithms that either adjust based on the human comfort zone (affective concerns) or monitor those adaptive processes (affective features). This teleologically-grounded framework offers a principled agenda and launchpad for both organizing existing perspectives and generating new ones. Ultimately, we hope the Human Affectome brings us a step closer to not only an integrated understanding of human affective phenomena, but an integrated field for affective research.
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Affiliation(s)
- Daniela Schiller
- Department of Psychiatry, the Nash Family Department of Neuroscience, and the Friedman Brain Institute, at the Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | - Alessandra N C Yu
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
| | - Nelly Alia-Klein
- Department of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Susanne Becker
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, 68159 Mannheim, Germany; Integrative Spinal Research Group, Department of Chiropractic Medicine, University Hospital Balgrist, University of Zurich, Balgrist Campus, Lengghalde 5, 8008 Zurich, Switzerland
| | - Howard C Cromwell
- J.P. Scott Center for Neuroscience, Mind and Behavior, Department of Psychology, Bowling Green State University, Bowling Green, OH 43403, United States
| | - Florin Dolcos
- Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States
| | - Paul J Eslinger
- Departments of Neurology, Neural & Behavioral Science, Radiology, and Public Health Sciences, Penn State Hershey Medical Center and College of Medicine, Hershey, PA, United States
| | - Paul Frewen
- Departments of Psychiatry, Psychology and Neuroscience at the University of Western Ontario, London, Ontario, Canada
| | - Andrew H Kemp
- School of Psychology, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, United Kingdom
| | - Edward F Pace-Schott
- Harvard Medical School and Massachusetts General Hospital, Department of Psychiatry, Boston, MA, United States; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
| | - Jacob Raber
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, United States; Departments of Neurology, Radiation Medicine, Psychiatry, and Division of Neuroscience, ONPRC, Oregon Health & Science University, Portland, OR, United States
| | - Rebecca L Silton
- Department of Psychology, Loyola University Chicago, Chicago, IL, United States
| | - Elka Stefanova
- Faculty of Medicine, University of Belgrade, Serbia; Neurology Clinic, Clinical Center of Serbia, Serbia
| | - Justin H G Williams
- Griffith University, Gold Coast Campus, 1 Parklands Dr, Southport, QLD 4215, Australia
| | - Nobuhito Abe
- Institute for the Future of Human Society, Kyoto University, 46 Shimoadachi-cho, Yoshida Sakyo-ku, Kyoto, Japan
| | - Moji Aghajani
- Institute of Education & Child Studies, Section Forensic Family & Youth Care, Leiden University, the Netherlands; Department of Psychiatry, Amsterdam UMC, Location VUMC, GGZ InGeest Research & Innovation, Amsterdam Neuroscience, the Netherlands
| | - Franziska Albrecht
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany; Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Karolinska University Hospital, Women's Health and Allied Health Professionals Theme, Medical unit Occupational Therapy & Physiotherapy, Stockholm, Sweden
| | - Rebecca Alexander
- Neuroscience Research Australia, Randwick, Sydney, NSW, Australia; Australian National University, Canberra, ACT, Australia
| | - Silke Anders
- Department of Neurology, University of Lübeck, Lübeck, Germany; Center of Brain, Behavior and Metabolism, University of Lübeck, Lübeck, Germany
| | - Oriana R Aragón
- Yale University, 2 Hillhouse Ave, New Haven, CT, United States; Cincinnati University, Marketing Department, 2906 Woodside Drive, Cincinnati, OH 45221-0145, United States
| | - Juan A Arias
- School of Psychology, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, United Kingdom; Department of Statistics, Mathematical Analysis, and Operational Research, Universidade de Santiago de Compostela, Spain; The Galician Center for Mathematical Research and Technology (CITMAga), 15782 Santiago de Compostela, Spain
| | - Shahar Arzy
- Department of Medical Neurobiology, Hebrew University, Jerusalem, Israel
| | - Tatjana Aue
- Institute of Psychology, University of Bern, Fabrikstr. 8, 3012 Bern, Switzerland
| | | | - Michela Balconi
- International Research Center for Cognitive Applied Neuroscience, Catholic University of Milan, Milan, Italy
| | - Tommaso Ballarini
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Scott Bannister
- Durham University, Palace Green, DH1 RL3 Durham, United Kingdom
| | | | - Karen Caplovitz Barrett
- Department of Human Development & Family Studies, Colorado State University, Fort Collins, CO, United States; Department of Community & Behavioral Health, Colorado School of Public Health, Denver, CO, United States
| | | | - Moustafa Bensafi
- Research Center in Neurosciences of Lyon, CNRS UMR5292, INSERM U1028, Claude Bernard University Lyon 1, Lyon, Centre Hospitalier Le Vinatier, 95 bd Pinel, 69675 Bron Cedex, France
| | - Linda Booij
- Department of Psychology, Concordia University, Montreal, Canada; CHU Sainte-Justine, University of Montreal, Montreal, Canada
| | - Jamila Bookwala
- Department of Psychology, Lafayette College, Easton, PA, United States
| | - Julie Boulanger-Bertolus
- Department of Anesthesiology and Center for Consciousness Science, University of Michigan, Ann Arbor, MI, United States
| | - Sydney Weber Boutros
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, United States
| | - Anne-Kathrin Bräscher
- Department of Clinical Psychology, Psychotherapy and Experimental Psychopathology, University of Mainz, Wallstr. 3, 55122 Mainz, Germany; Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States
| | - Antonio Bruno
- Department of Biomedical, Dental Sciences and Morpho-Functional Imaging - University of Messina, Italy
| | - Geraldo Busatto
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Lauren M Bylsma
- Departments of Psychiatry and Psychology; and the Center for Neural Basis of Cognition, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | | | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Nicolas Cherbuin
- Centre for Research on Ageing, Health, and Wellbeing, Australian National University, Canberra, ACT, Australia
| | - Julian Chiarella
- Department of Psychology, Concordia University, Montreal, Canada; CHU Sainte-Justine, University of Montreal, Montreal, Canada
| | - Pietro Cipresso
- Applied Technology for Neuro-Psychology Lab., Istituto Auxologico Italiano (IRCCS), Milan, Italy; Department of Psychology, University of Turin, Turin, Italy
| | - Hugo Critchley
- Psychiatry, Department of Neuroscience, Brighton and Sussex Medical School (BSMS), University of Sussex, Sussex, United Kingdom
| | - Denise E Croote
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai and Friedman Brain Institute, New York, NY 10029, United States; Hospital Universitário Gaffrée e Guinle, Universidade do Rio de Janeiro, Brazil
| | - Heath A Demaree
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH, United States
| | - Thomas F Denson
- School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - Brendan Depue
- Departments of Psychological and Brain Sciences and Anatomical Sciences and Neurobiology, University of Louisville, Louisville, KY, United States
| | - Birgit Derntl
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
| | - Joanne M Dickson
- Edith Cowan University, Psychology Discipline, School of Arts and Humanities, 270 Joondalup Dr, Joondalup, WA 6027, Australia
| | - Sanda Dolcos
- Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States
| | - Anat Drach-Zahavy
- The Faculty of Health and Welfare Sciences, University of Haifa, Haifa, Israel
| | - Olga Dubljević
- Neurology Clinic, Clinical Center of Serbia, Serbia; Institute for Biological Research "Siniša Stanković", National Institute of Republic of Serbia, Belgrade, Serbia
| | - Tuomas Eerola
- Durham University, Palace Green, DH1 RL3 Durham, United Kingdom
| | - Dan-Mikael Ellingsen
- Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Beth Fairfield
- Department of Humanistic Studies, University of Naples Federico II, Naples, Italy; UniCamillus, International Medical University, Rome, Italy
| | - Camille Ferdenzi
- Research Center in Neurosciences of Lyon, CNRS UMR5292, INSERM U1028, Claude Bernard University Lyon 1, Lyon, Centre Hospitalier Le Vinatier, 95 bd Pinel, 69675 Bron Cedex, France
| | - Bruce H Friedman
- Department of Psychology, Virginia Tech, Blacksburg, VA, United States
| | - Cynthia H Y Fu
- School of Psychology, University of East London, United Kingdom; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Justine M Gatt
- Neuroscience Research Australia, Randwick, Sydney, NSW, Australia; School of Psychology, University of New South Wales, Randwick, Sydney, NSW, Australia
| | - Beatrice de Gelder
- Department of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Guido H E Gendolla
- Geneva Motivation Lab, University of Geneva, FPSE, Section of Psychology, CH-1211 Geneva 4, Switzerland
| | - Gadi Gilam
- The Institute of Biomedical and Oral Research, Faculty of Dental Medicine, Hebrew University of Jerusalem, Jerusalem, Israel; Systems Neuroscience and Pain Laboratory, Stanford University School of Medicine, CA, United States
| | - Hadass Goldblatt
- Department of Nursing, Faculty of Social Welfare & Health Sciences, University of Haifa, Haifa, Israel
| | | | - Olivia Gosseries
- Coma Science Group, GIGA Consciousness & Centre du Cerveau2, University and University Hospital of Liege, Liege, Belgium
| | - Alfons O Hamm
- Department of Biological and Clinical Psychology/Psychotherapy, University of Greifswald, Greifswald, Germany
| | - Jamie L Hanson
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA 15206, United States
| | - Talma Hendler
- Tel Aviv Center for Brain Function, Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; School of Psychological Sciences, Tel-Aviv University, Tel Aviv, Israel
| | - Cornelia Herbert
- Department of Applied Emotion and Motivation Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
| | - Stefan G Hofmann
- Department of Clinical Psychology, Philipps University Marburg, Germany
| | - Agustin Ibanez
- Universidad de San Andres, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile; Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), United States and Trinity Collegue Dublin (TCD), Ireland
| | - Mateus Joffily
- Groupe d'Analyse et de Théorie Economique (GATE), 93 Chemin des Mouilles, 69130 Écully, France
| | - Tanja Jovanovic
- Department of Psychiatry and Behavaioral Neurosciences, Wayne State University, Detroit, MI, United States
| | - Ian J Kahrilas
- Department of Psychology, Loyola University Chicago, Chicago, IL, United States
| | - Maria Kangas
- Department of Psychology, Macquarie University, Sydney, Australia
| | - Yuta Katsumi
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Elizabeth Kensinger
- Department of Psychology and Neuroscience, Boston College, Boston, MA, United States
| | - Lauren A J Kirby
- Department of Psychology and Counseling, University of Texas at Tyler, Tyler, TX, United States
| | - Rebecca Koncz
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia; Specialty of Psychiatry, The University of Sydney, Concord, New South Wales, Australia
| | - Ernst H W Koster
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | | | - Sören Krach
- Social Neuroscience Lab, Translational Psychiatry Unit, University of Lübeck, Lübeck, Germany
| | - Mariska E Kret
- Leiden University, Cognitive Psychology, Pieter de la Court, Waassenaarseweg 52, Leiden 2333 AK, the Netherlands
| | - Martin Krippl
- Faculty of Natural Sciences, Department of Psychology, Otto von Guericke University Magdeburg, Universitätsplatz 2, Magdeburg, Germany
| | - Kwabena Kusi-Mensah
- Department of Psychiatry, Komfo Anokye Teaching Hospital, P. O. Box 1934, Kumasi, Ghana; Department of Psychiatry, University of Cambridge, Darwin College, Silver Street, CB3 9EU Cambridge, United Kingdom; Behavioural Sciences Department, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Cecile D Ladouceur
- Departments of Psychiatry and Psychology and the Center for Neural Basis of Cognition (CNBC), University of Pittsburgh, Pittsburgh, PA, United States
| | - Steven Laureys
- Coma Science Group, GIGA Consciousness & Centre du Cerveau2, University and University Hospital of Liege, Liege, Belgium
| | - Alistair Lawrence
- Scotland's Rural College, King's Buildings, Edinburgh, Scotland; The Roslin Institute, University of Edinburgh, Easter Bush, Scotland
| | - Chiang-Shan R Li
- Connecticut Mental Health Centre, Yale University, New Haven, CT, United States
| | - Belinda J Liddell
- School of Psychology, University of New South Wales, Randwick, Sydney, NSW, Australia
| | - Navdeep K Lidhar
- Department of Psychology, University of Toronto Mississauga, Mississauga, ON, Canada
| | - Christopher A Lowry
- Department of Integrative Physiology and Center for Neuroscience, University of Colorado Boulder, Boulder, CO, United States
| | - Kelsey Magee
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH, United States
| | - Marie-France Marin
- Department of Psychology, Université du Québec à Montréal, Montreal, Canada; Research Center, Institut universitaire en santé mentale de Montréal, Montreal, Canada
| | - Veronica Mariotti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Loren J Martin
- Department of Psychology, University of Toronto Mississauga, Mississauga, ON, Canada
| | - Hilary A Marusak
- Department of Psychiatry and Behavaioral Neurosciences, Wayne State University, Detroit, MI, United States; Merrill Palmer Skillman Institute for Child and Family Development, Wayne State University, Detroit, MI, United States
| | - Annalina V Mayer
- Social Neuroscience Lab, Translational Psychiatry Unit, University of Lübeck, Lübeck, Germany
| | - Amanda R Merner
- Department of Psychological Sciences, Case Western Reserve University, Cleveland, OH, United States
| | - Jessica Minnier
- School of Public Health, Oregon Health & Science University, Portland, OR, United States
| | - Jorge Moll
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education, Rio de Janeiro, Brazil
| | - Robert G Morrison
- Department of Psychology, Loyola University Chicago, Chicago, IL, United States
| | - Matthew Moore
- Beckman Institute for Advanced Science & Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States; War Related Illness and Injury Study Center (WRIISC), Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States
| | - Anne-Marie Mouly
- Lyon Neuroscience Research Center, CNRS-UMR 5292, INSERM U1028, Universite Lyon, Lyon, France
| | - Sven C Mueller
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
| | - Andreas Mühlberger
- Department of Psychology (Clinical Psychology and Psychotherapy), University of Regensburg, Regensburg, Germany
| | - Nora A Murphy
- Department of Psychology, Loyola Marymount University, Los Angeles, CA, United States
| | | | - Erica D Musser
- Center for Children and Families, Department of Psychology, Florida International University, Miami, FL, United States
| | - Tamara L Newton
- Department of Psychological and Brain Sciences, University of Louisville, Louisville, KY, United States
| | - Michael Noll-Hussong
- Psychosomatic Medicine and Psychotherapy, TU Muenchen, Langerstrasse 3, D-81675 Muenchen, Germany
| | - Seth Davin Norrholm
- Department of Psychiatry and Behavaioral Neurosciences, Wayne State University, Detroit, MI, United States
| | - Georg Northoff
- Mind, Brain Imaging and Neuroethics Research Unit, University of Ottawa Institute of Mental Health Research, Royal Ottawa Mental Health Centre, Canada
| | - Robin Nusslock
- Department of Psychology and Institute for Policy Research, Northwestern University, 2029 Sheridan Road, Evanston, IL, United States
| | - Hadas Okon-Singer
- School of Psychological Sciences, University of Haifa, Haifa, Israel
| | - Thomas M Olino
- Department of Psychology, Temple University, 1701N. 13th St, Philadelphia, PA, United States
| | - Catherine Ortner
- Thompson Rivers University, Department of Psychology, 805 TRU Way, Kamloops, BC, Canada
| | - Mayowa Owolabi
- Department of Medicine and Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan; University College Hospital, Ibadan, Oyo State, Nigeria; Blossom Specialist Medical Center Ibadan, Oyo State, Nigeria
| | - Caterina Padulo
- Department of Psychological, Health and Territorial Sciences, University of Chieti, Chieti, Italy
| | - Romina Palermo
- School of Psychological Science, University of Western Australia, Perth, WA, Australia
| | - Rocco Palumbo
- Department of Psychological, Health and Territorial Sciences, University of Chieti, Chieti, Italy
| | - Sara Palumbo
- Department of Surgical, Medical and Molecular Pathology and of Critical Care, University of Pisa, Pisa, Italy
| | - Christos Papadelis
- Jane and John Justin Neuroscience Center, Cook Children's Health Care System, Fort Worth, TX, United States; Department of Bioengineering, University of Texas at Arlington, Arlington, TX, United States
| | - Alan J Pegna
- School of Psychology, University of Queensland, Saint Lucia, Queensland, Australia
| | - Silvia Pellegrini
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Kirsi Peltonen
- Research Centre for Child Psychiatry, University of Turku, Turku, Finland; INVEST Research Flagship, University of Turku, Turku, Finland
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam UMC, Location VUMC, GGZ InGeest Research & Innovation, Amsterdam Neuroscience, the Netherlands
| | | | - Graziano Pinna
- The Psychiatric Institute, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
| | - Rosario Pintos Lobo
- Center for Children and Families, Department of Psychology, Florida International University, Miami, FL, United States
| | - Kelly L Polnaszek
- Department of Psychology, Loyola University Chicago, Chicago, IL, United States
| | - Maryna Polyakova
- Neurology Department, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Christine Rabinak
- Department of Pharmacy Practice, Wayne State University, Detroit, MI, United States
| | - S Helene Richter
- Department of Behavioural Biology, University of Münster, Badestraße 13, Münster, Germany
| | - Thalia Richter
- School of Psychological Sciences, University of Haifa, Haifa, Israel
| | - Giuseppe Riva
- Applied Technology for Neuro-Psychology Lab., Istituto Auxologico Italiano (IRCCS), Milan, Italy; Humane Technology Lab., Università Cattolica del Sacro Cuore, Milan, Italy
| | - Amelia Rizzo
- Department of Biomedical, Dental Sciences and Morpho-Functional Imaging - University of Messina, Italy
| | | | - Pedro Rosa
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry and Mental Health, University of New South Wales, Sydney, Australia; Neuropsychiatric Institute, The Prince of Wales Hospital, Sydney, Australia
| | - Wataru Sato
- Psychological Process Research Team, Guardian Robot Project, RIKEN, 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto, Japan
| | - Matthias L Schroeter
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Susanne Schweizer
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom; School of Psychology, University of New South Wales, Sydney, Australia
| | - Youssef Shiban
- Department of Psychology (Clinical Psychology and Psychotherapy), University of Regensburg, Regensburg, Germany; Department of Psychology (Clinical Psychology and Psychotherapy Research), PFH - Private University of Applied Sciences, Gottingen, Germany
| | - Advaith Siddharthan
- Knowledge Media Institute, The Open University, Milton Keynes MK7 6AA, United Kingdom
| | - Ewa Siedlecka
- School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - Robert C Smith
- Departments of Medicine and Psychiatry, Michigan State University, East Lansing, MI, United States
| | - Hermona Soreq
- Department of Biological Chemistry, Edmond and Lily Safra Center of Brain Science and The Institute of Life Sciences, Hebrew University, Jerusalem, Israel
| | - Derek P Spangler
- Department of Biobehavioral Health, The Pennsylvania State University, State College, PA, United States
| | - Emily R Stern
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, United States; New York University School of Medicine, New York, NY, United States
| | - Charis Styliadis
- Neuroscience of Cognition and Affection group, Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - James E Swain
- Departments of Psychiatry & Behavioral Health, Psychology, Obstetrics, Gynecology & Reproductive Medicine, and Program in Public Health, Renaissance School of Medicine at Stony Brook University, New York, United States
| | - Sébastien Urben
- Division of Child and Adolescent Psychiatry, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Jan Van den Stock
- Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Michael A Vander Kooij
- Translational Psychiatry, Department of Psychiatry and Psychotherapy, Universitatsmedizin der Johannes Guttenberg University Medical Center, Mainz, Germany
| | | | - Tamsyn E Van Rheenen
- University of Melbourne, Melbourne Neuropsychiatry Centre, Department of Psychiatry, 161 Barry Street, Carlton, VIC, Australia
| | - Michael B VanElzakker
- Division of Neurotherapeutics, Massachusetts General Hospital, Boston, MA, United States
| | - Carlos Ventura-Bort
- Department of Biological Psychology and Affective Science, Faculty of Human Sciences, University of Potsdam, Potsdam, Germany
| | - Edelyn Verona
- Department of Psychology, University of South Florida, Tampa, FL, United States
| | - Tyler Volk
- Professor Emeritus of Biology and Environmental Studies, New York University, New York, NY, United States
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Leah T Weingast
- Department of Social Work and Human Services and the Department of Psychological Sciences, Center for Young Adult Addiction and Recovery, Kennesaw State University, Kennesaw, GA, United States
| | - Mathias Weymar
- Department of Biological Psychology and Affective Science, Faculty of Human Sciences, University of Potsdam, Potsdam, Germany; Faculty of Health Sciences Brandenburg, University of Potsdam, Germany
| | - Claire Williams
- School of Psychology, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, United Kingdom; Elysium Neurological Services, Elysium Healthcare, The Avalon Centre, United Kingdom
| | - Megan L Willis
- School of Behavioural and Health Sciences, Australian Catholic University, Sydney, NSW, Australia
| | - Paula Yamashita
- Department of Integrative Physiology and Center for Neuroscience, University of Colorado Boulder, Boulder, CO, United States
| | - Roland Zahn
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Barbra Zupan
- Central Queensland University, School of Health, Medical and Applied Sciences, Bruce Highway, Rockhampton, QLD, Australia
| | - Leroy Lowe
- Neuroqualia (NGO), Truro, Nova Scotia, Canada.
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Katsumi Y, Touroutoglou A. Are superagers super rare? Int Psychogeriatr 2024:1-8. [PMID: 38178726 DOI: 10.1017/s1041610224000024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Affiliation(s)
- Yuta Katsumi
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Alexandra Touroutoglou
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Alzheimer's Disease Research Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
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4
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Eldaief MC, Brickhouse M, Katsumi Y, Rosen H, Carvalho N, Touroutoglou A, Dickerson BC. Atrophy in behavioural variant frontotemporal dementia spans multiple large-scale prefrontal and temporal networks. Brain 2023; 146:4476-4485. [PMID: 37201288 PMCID: PMC10629759 DOI: 10.1093/brain/awad167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 04/10/2023] [Accepted: 04/16/2023] [Indexed: 05/20/2023] Open
Abstract
The identification of a neurodegenerative disorder's distributed pattern of atrophy-or atrophy 'signature'-can lend insights into the cortical networks that degenerate in individuals with specific constellations of symptoms. In addition, this signature can be used as a biomarker to support early diagnoses and to potentially reveal pathological changes associated with said disorder. Here, we characterized the cortical atrophy signature of behavioural variant frontotemporal dementia (bvFTD). We used a data-driven approach to estimate cortical thickness using surface-based analyses in two independent, sporadic bvFTD samples (n = 30 and n = 71, total n = 101), using age- and gender-matched cognitively and behaviourally normal individuals. We found highly similar patterns of cortical atrophy across the two independent samples, supporting the reliability of our bvFTD signature. Next, we investigated whether our bvFTD signature targets specific large-scale cortical networks, as is the case for other neurodegenerative disorders. We specifically asked whether the bvFTD signature topographically overlaps with the salience network, as previous reports have suggested. We hypothesized that because phenotypic presentations of bvFTD are diverse, this would not be the case, and that the signature would cross canonical network boundaries. Consistent with our hypothesis, the bvFTD signature spanned rostral portions of multiple networks, including the default mode, limbic, frontoparietal control and salience networks. We then tested whether the signature comprised multiple anatomical subtypes, which themselves overlapped with specific networks. To explore this, we performed a hierarchical clustering analysis. This yielded three clusters, only one of which extensively overlapped with a canonical network (the limbic network). Taken together, these findings argue against the hypothesis that the salience network is preferentially affected in bvFTD, but rather suggest that-at least in patients who meet diagnostic criteria for the full-blown syndrome-neurodegeneration in bvFTD encompasses a distributed set of prefrontal, insular and anterior temporal nodes of multiple large-scale brain networks, in keeping with the phenotypic diversity of this disorder.
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Affiliation(s)
- Mark C Eldaief
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Center for Brain Sciences, Harvard University, Cambridge, MA 02138, USA
| | - Michael Brickhouse
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Yuta Katsumi
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Howard Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Nicole Carvalho
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Alexandra Touroutoglou
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Bradford C Dickerson
- Frontotemporal Disorders Unit and Alzheimer’s Disease Research Center, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
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5
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Touroutoglou A, Katsumi Y, Brickhouse M, Zaitsev A, Eckbo R, Aisen P, Beckett L, Dage JL, Eloyan A, Foroud T, Ghetti B, Griffin P, Hammers D, Jack CR, Kramer JH, Iaccarino L, Joie RL, Mundada NS, Koeppe R, Kukull WA, Murray ME, Nudelman K, Polsinelli AJ, Rumbaugh M, Soleimani-Meigooni DN, Toga A, Vemuri P, Atri A, Day GS, Duara R, Graff-Radford NR, Honig LS, Jones DT, Masdeu JC, Mendez MF, Musiek E, Onyike CU, Riddle M, Rogalski E, Salloway S, Sha S, Turner RS, Wingo TS, Wolk DA, Womack K, Carrillo MC, Rabinovici GD, Apostolova LG, Dickerson BC. The Sporadic Early-onset Alzheimer's Disease Signature Of Atrophy: Preliminary Findings From The Longitudinal Early-onset Alzheimer's Disease Study (LEADS) Cohort. Alzheimers Dement 2023; 19 Suppl 9:S74-S88. [PMID: 37850549 PMCID: PMC10829523 DOI: 10.1002/alz.13466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 07/13/2023] [Accepted: 07/18/2023] [Indexed: 10/19/2023]
Abstract
INTRODUCTION Magnetic resonance imaging (MRI) research has advanced our understanding of neurodegeneration in sporadic early-onset Alzheimer's disease (EOAD) but studies include small samples, mostly amnestic EOAD, and have not focused on developing an MRI biomarker. METHODS We analyzed MRI scans to define the sporadic EOAD-signature atrophy in a small sample (n = 25) of Massachusetts General Hospital (MGH) EOAD patients, investigated its reproducibility in the large longitudinal early-onset Alzheimer's disease study (LEADS) sample (n = 211), and investigated the relationship of the magnitude of atrophy with cognitive impairment. RESULTS The EOAD-signature atrophy was replicated across the two cohorts, with prominent atrophy in the caudal lateral temporal cortex, inferior parietal lobule, and posterior cingulate and precuneus cortices, and with relative sparing of the medial temporal lobe. The magnitude of EOAD-signature atrophy was associated with the severity of cognitive impairment. DISCUSSION The EOAD-signature atrophy is a reliable and clinically valid biomarker of AD-related neurodegeneration that could be used in clinical trials for EOAD. HIGHLIGHTS We developed an early-onset Alzheimer's disease (EOAD)-signature of atrophy based on magnetic resonance imaging (MRI) scans. EOAD signature was robustly reproducible across two independent patient cohorts. EOAD signature included prominent atrophy in parietal and posterior temporal cortex. The EOAD-signature atrophy was associated with the severity of cognitive impairment. EOAD signature is a reliable and clinically valid biomarker of neurodegeneration.
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Affiliation(s)
- Alexandra Touroutoglou
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Yuta Katsumi
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Michael Brickhouse
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Alexander Zaitsev
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Ryan Eckbo
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Paul Aisen
- Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, California, USA
| | - Laurel Beckett
- Department of Public Health Sciences, University of California - Davis, Davis, California, USA
| | - Jeffrey L Dage
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Ani Eloyan
- Department of Biostatistics, Center for Statistical Sciences, Brown University, Providence, Rhode Island, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Bernardino Ghetti
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Percy Griffin
- Medical & Scientific Relations Division, Alzheimer's Association, Chicago, Illinois, USA
| | - Dustin Hammers
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Joel H Kramer
- Department of Neurology, University of California - San Francisco, San Francisco, California, USA
| | - Leonardo Iaccarino
- Department of Neurology, University of California - San Francisco, San Francisco, California, USA
| | - Renaud La Joie
- Department of Neurology, University of California - San Francisco, San Francisco, California, USA
| | - Nidhi S Mundada
- Department of Neurology, University of California - San Francisco, San Francisco, California, USA
| | - Robert Koeppe
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Walter A Kukull
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Melissa E Murray
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Kelly Nudelman
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Angelina J Polsinelli
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Malia Rumbaugh
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | - Arthur Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Los Angeles, California, USA
| | | | - Alireza Atri
- Banner Sun Health Research Institute, Sun City, Arizona, USA
| | - Gregory S Day
- Department of Neurology, Mayo Clinic in Florida, Jacksonville, Florida, USA
| | - Ranjan Duara
- Wien Center for Alzheimer's Disease and Memory Disorders, Mount Sinai Medical Center, Miami, Florida, USA
| | | | - Lawrence S Honig
- Taub Institute and Department of Neurology, Columbia University Irving Medical Center, New York, New York, USA
| | - David T Jones
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Joseph C Masdeu
- Nantz National Alzheimer Center, Houston Methodist and Weill Cornell Medicine, Houston, Texas, USA
| | - Mario F Mendez
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Erik Musiek
- Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Chiadi U Onyike
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Meghan Riddle
- Department of Neurology, Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | - Emily Rogalski
- Department of Psychiatry and Behavioral Sciences, Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Stephen Salloway
- Department of Neurology, Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | - Sharon Sha
- Department of Neurology & Neurological Sciences, Stanford University, Palo Alto, California, USA
| | - R Scott Turner
- Department of Neurology, Georgetown University, Washington, D.C., USA
| | - Thomas S Wingo
- Department of Neurology and Human Genetics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - David A Wolk
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kyle Womack
- Department of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Maria C Carrillo
- Medical & Scientific Relations Division, Alzheimer's Association, Chicago, Illinois, USA
| | - Gil D Rabinovici
- Department of Neurology, University of California - San Francisco, San Francisco, California, USA
| | - Liana G Apostolova
- Department of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine Indianapolis, Indianapolis, Indiana, USA
| | - Bradford C Dickerson
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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Katsumi Y, Zhang J, Chen D, Kamona N, Bunce JG, Hutchinson JB, Yarossi M, Tunik E, Dickerson BC, Quigley KS, Barrett LF. Correspondence of functional connectivity gradients across human isocortex, cerebellum, and hippocampus. Commun Biol 2023; 6:401. [PMID: 37046050 PMCID: PMC10097701 DOI: 10.1038/s42003-023-04796-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 04/03/2023] [Indexed: 04/14/2023] Open
Abstract
Gradient mapping is an important technique to summarize high dimensional biological features as low dimensional manifold representations in exploring brain structure-function relationships at various levels of the cerebral cortex. While recent studies have characterized the major gradients of functional connectivity in several brain structures using this technique, very few have systematically examined the correspondence of such gradients across structures under a common systems-level framework. Using resting-state functional magnetic resonance imaging, here we show that the organizing principles of the isocortex, and those of the cerebellum and hippocampus in relation to the isocortex, can be described using two common functional gradients. We suggest that the similarity in functional connectivity gradients across these structures can be meaningfully interpreted within a common computational framework based on the principles of predictive processing. The present results, and the specific hypotheses that they suggest, represent an important step toward an integrative account of brain function.
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Affiliation(s)
- Yuta Katsumi
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
| | - Jiahe Zhang
- Department of Psychology, Northeastern University, Boston, MA, 02115, USA
| | - Danlei Chen
- Department of Psychology, Northeastern University, Boston, MA, 02115, USA
| | - Nada Kamona
- Department of Psychology, Northeastern University, Boston, MA, 02115, USA
| | - Jamie G Bunce
- Department of Biology, Northeastern University, Boston, MA, 02115, USA
| | | | - Mathew Yarossi
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, 02115, USA
- Department of Physical Therapy, Movement, and Rehabilitation Science, Northeastern University, Boston, MA, 02115, USA
| | - Eugene Tunik
- Department of Physical Therapy, Movement, and Rehabilitation Science, Northeastern University, Boston, MA, 02115, USA
| | - Bradford C Dickerson
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
| | - Karen S Quigley
- Department of Psychology, Northeastern University, Boston, MA, 02115, USA
| | - Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston, MA, 02115, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
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7
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Westlin C, Theriault JE, Katsumi Y, Nieto-Castanon A, Kucyi A, Ruf SF, Brown SM, Pavel M, Erdogmus D, Brooks DH, Quigley KS, Whitfield-Gabrieli S, Barrett LF. Improving the study of brain-behavior relationships by revisiting basic assumptions. Trends Cogn Sci 2023; 27:246-257. [PMID: 36739181 PMCID: PMC10012342 DOI: 10.1016/j.tics.2022.12.015] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 12/23/2022] [Accepted: 12/29/2022] [Indexed: 02/05/2023]
Abstract
Neuroimaging research has been at the forefront of concerns regarding the failure of experimental findings to replicate. In the study of brain-behavior relationships, past failures to find replicable and robust effects have been attributed to methodological shortcomings. Methodological rigor is important, but there are other overlooked possibilities: most published studies share three foundational assumptions, often implicitly, that may be faulty. In this paper, we consider the empirical evidence from human brain imaging and the study of non-human animals that calls each foundational assumption into question. We then consider the opportunities for a robust science of brain-behavior relationships that await if scientists ground their research efforts in revised assumptions supported by current empirical evidence.
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Affiliation(s)
| | - Jordan E Theriault
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Yuta Katsumi
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alfonso Nieto-Castanon
- Department of Speech, Language, and Hearing Sciences, Boston University, Boston, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Aaron Kucyi
- Department of Psychological and Brain Sciences, Drexel University, Philadelphia, PA, USA
| | - Sebastian F Ruf
- Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Sarah M Brown
- Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI, USA
| | - Misha Pavel
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA; Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA
| | - Deniz Erdogmus
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
| | - Dana H Brooks
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
| | - Karen S Quigley
- Department of Psychology, Northeastern University, Boston, MA, USA
| | | | - Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston, MA, USA; A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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8
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Katsumi Y, de Voogd LD, Ventura-Bort C, Liu W, Qin S. Editorial: Interaction between affect and memory in the brain: From basic mechanisms to clinical implications. Front Behav Neurosci 2023; 17:1120282. [PMID: 36761035 PMCID: PMC9903060 DOI: 10.3389/fnbeh.2023.1120282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 01/10/2023] [Indexed: 01/26/2023] Open
Affiliation(s)
- Yuta Katsumi
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States,*Correspondence: Yuta Katsumi ✉
| | - Lycia D. de Voogd
- Center for Cognitive Neuroimaging, Donders Institute for Brain Cognition and Behaviour, Radboud University, Nijmegen, Netherlands,Behavioral Science Institute, Radboud University, Nijmegen, Netherlands
| | - Carlos Ventura-Bort
- Department of Biological Psychology and Affective Science, Faculty of Human Sciences, University of Potsdam, Potsdam, Germany
| | - Wei Liu
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China,Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, China
| | - Shaozheng Qin
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China,Chinese Institute for Brain Research, Beijing, China
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9
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Katsumi Y, Quimby M, Hochberg D, Jones A, Brickhouse M, Eldaief MC, Dickerson BC, Touroutoglou A. Association of Regional Cortical Network Atrophy With Progression to Dementia in Patients With Primary Progressive Aphasia. Neurology 2023; 100:e286-e296. [PMID: 36192173 PMCID: PMC9869757 DOI: 10.1212/wnl.0000000000201403] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/30/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Patients with primary progressive aphasia (PPA) have gradually progressive language deficits during the initial phase of the illness. As the underlying neurodegenerative disease progresses, patients with PPA start losing independent functioning due to the development of nonlanguage cognitive or behavioral symptoms. The timeline of this progression from the mild cognitive impairment stage to the dementia stage of PPA is variable across patients. In this study, in a sample of patients with PPA, we measured the magnitude of cortical atrophy within functional networks believed to subserve diverse cognitive and affective functions. The objective of the study was to evaluate the utility of this measure as a predictor of time to subsequent progression to dementia in PPA. METHODS Patients with PPA with largely independent daily function were recruited through the Massachusetts General Hospital Frontotemporal Disorders Unit. All patients underwent an MRI scan at baseline. Cortical atrophy was then estimated relative to a group of amyloid-negative cognitively normal control participants. For each patient, we measured the time between the baseline visit and the subsequent visit at which dementia progression was documented or last observation. Simple and multivariable Cox regression models were used to examine the relationship between cortical atrophy and the likelihood of progression to dementia. RESULTS Forty-nine patients with PPA (mean age = 66.39 ± 8.36 years, 59.2% females) and 25 controls (mean age = 67.43 ± 4.84 years, 48% females) were included in the data analysis. Greater baseline atrophy in not only the left language network (hazard ratio = 1.47, 95% CI = 1.17-1.84) but also in the frontoparietal control (1.75, 1.25-2.44), salience (1.63, 1.25-2.13), default mode (1.55, 1.19-2.01), and ventral frontotemporal (1.41, 1.16-1.71) networks was associated with a higher risk of progression to dementia. A multivariable model identified contributions of the left frontoparietal control (1.94, 1.09-3.48) and ventral frontotemporal (1.61, 1.09-2.39) networks in predicting dementia progression, with no additional variance explained by the language network (0.75, 0.43-1.31). DISCUSSION These results suggest that baseline atrophy in cortical networks subserving nonlanguage cognitive and affective functions is an important predictor of progression to dementia in PPA. This measure should be included in precision medicine models of prognosis in PPA.
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Affiliation(s)
- Yuta Katsumi
- *These authors contributed equally as co-first authors.
- These authors contributed equally as co-senior authors.
- From the Frontotemporal Disorders Unit (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), the Departments of Neurology (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), and Psychiatry (M.C.E., B.C.D., A.T.), the Massachusetts Alzheimer's Disease Research Center (M.C.E., B.C.D., A.T.), and the Athinoula A. Martinos Center for Biomedical Imaging (B.C.D.), Massachusetts General Hospital and Harvard Medical School, Boston, MA.
| | - Megan Quimby
- *These authors contributed equally as co-first authors
- These authors contributed equally as co-senior authors
- From the Frontotemporal Disorders Unit (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), the Departments of Neurology (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), and Psychiatry (M.C.E., B.C.D., A.T.), the Massachusetts Alzheimer's Disease Research Center (M.C.E., B.C.D., A.T.), and the Athinoula A. Martinos Center for Biomedical Imaging (B.C.D.), Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Daisy Hochberg
- *These authors contributed equally as co-first authors
- These authors contributed equally as co-senior authors
- From the Frontotemporal Disorders Unit (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), the Departments of Neurology (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), and Psychiatry (M.C.E., B.C.D., A.T.), the Massachusetts Alzheimer's Disease Research Center (M.C.E., B.C.D., A.T.), and the Athinoula A. Martinos Center for Biomedical Imaging (B.C.D.), Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Amelia Jones
- *These authors contributed equally as co-first authors
- These authors contributed equally as co-senior authors
- From the Frontotemporal Disorders Unit (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), the Departments of Neurology (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), and Psychiatry (M.C.E., B.C.D., A.T.), the Massachusetts Alzheimer's Disease Research Center (M.C.E., B.C.D., A.T.), and the Athinoula A. Martinos Center for Biomedical Imaging (B.C.D.), Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Michael Brickhouse
- *These authors contributed equally as co-first authors
- These authors contributed equally as co-senior authors
- From the Frontotemporal Disorders Unit (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), the Departments of Neurology (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), and Psychiatry (M.C.E., B.C.D., A.T.), the Massachusetts Alzheimer's Disease Research Center (M.C.E., B.C.D., A.T.), and the Athinoula A. Martinos Center for Biomedical Imaging (B.C.D.), Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Mark C Eldaief
- *These authors contributed equally as co-first authors
- These authors contributed equally as co-senior authors
- From the Frontotemporal Disorders Unit (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), the Departments of Neurology (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), and Psychiatry (M.C.E., B.C.D., A.T.), the Massachusetts Alzheimer's Disease Research Center (M.C.E., B.C.D., A.T.), and the Athinoula A. Martinos Center for Biomedical Imaging (B.C.D.), Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Bradford C Dickerson
- *These authors contributed equally as co-first authors
- These authors contributed equally as co-senior authors
- From the Frontotemporal Disorders Unit (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), the Departments of Neurology (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), and Psychiatry (M.C.E., B.C.D., A.T.), the Massachusetts Alzheimer's Disease Research Center (M.C.E., B.C.D., A.T.), and the Athinoula A. Martinos Center for Biomedical Imaging (B.C.D.), Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Alexandra Touroutoglou
- *These authors contributed equally as co-first authors
- These authors contributed equally as co-senior authors
- From the Frontotemporal Disorders Unit (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), the Departments of Neurology (Y.K., M.Q., D.H., A.J., M.B., M.C.E., B.C.D., A.T.), and Psychiatry (M.C.E., B.C.D., A.T.), the Massachusetts Alzheimer's Disease Research Center (M.C.E., B.C.D., A.T.), and the Athinoula A. Martinos Center for Biomedical Imaging (B.C.D.), Massachusetts General Hospital and Harvard Medical School, Boston, MA
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10
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Katsumi Y, Putcha D, Eckbo R, Wong B, Quimby M, McGinnis S, Touroutoglou A, Dickerson BC. Anterior dorsal attention network tau drives visual attention deficits in posterior cortical atrophy. Brain 2023; 146:295-306. [PMID: 36237170 DOI: 10.1093/brain/awac245] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 05/16/2022] [Accepted: 06/21/2022] [Indexed: 01/11/2023] Open
Abstract
Posterior cortical atrophy (PCA), usually an atypical clinical syndrome of Alzheimer's disease, has well-characterized patterns of cortical atrophy and tau deposition that are distinct from typical amnestic presentations of Alzheimer's disease. However, the mechanisms underlying the cortical spread of tau in PCA remain unclear. Here, in a sample of 17 biomarker-confirmed (A+/T+/N+) individuals with PCA, we sought to identify functional networks with heightened vulnerability to tau pathology by examining the cortical distribution of elevated tau as measured by 18F-flortaucipir (FTP) PET. We then assessed the relationship between network-specific FTP uptake and visuospatial cognitive task performance. As predicted, we found consistent and prominent localization of tau pathology in the dorsal attention network and visual network of the cerebral cortex. Elevated FTP uptake within the dorsal attention network (particularly the ratio of FTP uptake between the anterior and posterior nodes) was associated with poorer visuospatial attention in PCA; associations were also identified in other functional networks, although to a weaker degree. Furthermore, using functional MRI data collected from each patient at wakeful rest, we found that a greater anterior-to-posterior ratio in FTP uptake was associated with stronger intrinsic functional connectivity between anterior and posterior nodes of the dorsal attention network. Taken together, we conclude that our cross-sectional marker of anterior-to-posterior FTP ratio could indicate tau propagation from posterior to anterior dorsal attention network nodes, and that this anterior progression occurs in relation to intrinsic functional connectivity within this network critical for visuospatial attention. Our findings help to clarify the spatiotemporal pattern of tau propagation in relation to visuospatial cognitive decline and highlight the key role of the dorsal attention network in the disease progression of PCA.
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Affiliation(s)
- Yuta Katsumi
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.,Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Deepti Putcha
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.,Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Ryan Eckbo
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Bonnie Wong
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.,Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Megan Quimby
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Scott McGinnis
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.,Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Alexandra Touroutoglou
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.,Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Bradford C Dickerson
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.,Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.,Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.,Alzheimer's Disease Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
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11
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Putcha D, Katsumi Y, Brickhouse M, Flaherty R, Salat DH, Touroutoglou A, Dickerson BC. Gray to white matter signal ratio as a novel biomarker of neurodegeneration in Alzheimer's disease. Neuroimage Clin 2023; 37:103303. [PMID: 36586361 PMCID: PMC9830315 DOI: 10.1016/j.nicl.2022.103303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 12/25/2022]
Abstract
Alzheimer's disease (AD) is characterized neuropathologically by β-amyloid (Aβ) plaques, hyperphosphorylated tau neurofibrillary tangles, and neurodegeneration, which lead to a phenotypically heterogeneous cognitive-behavioral dementia syndrome. Our understanding of how these neuropathological and neurodegeneration biomarkers relate to each other is still evolving. A relatively new approach to measuring structural brain change, gray matter to white matter signal intensity ratio (GWR), quantifies the signal contrast between these tissue compartments, and has emerged as a promising marker of AD-related neurodegeneration. We sought to validate GWR as a novel MRI biomarker of neurodegeneration in 29 biomarker positive individuals across the atypical syndromic spectrum of AD. Bivariate correlation analyses revealed that GWR was associated with cortical thickness, tau PET, and amyloid PET, with GWR showing a larger magnitude of abnormality than cortical thickness. We also found that combining GWR, cortical thickness, and amyloid PET better explained observed tau PET signal than using these modalities alone, suggesting that the three imaging biomarkers contribute independently and synergistically to explaining the variance in the distribution of tau pathology. We conclude that GWR is a uniquely sensitive in vivo marker of neurodegenerative change that reflects pathological mechanisms which may occur prior to cortical atrophy. By using all of these imaging biomarkers of AD together, we may be better able to capture, and possibly predict, AD neuropathologic changes in vivo. We hope that such an approach will ultimately contribute to better endpoints to evaluate the efficacy of therapeutic interventions as we move toward an era of disease-modifying treatments for this devastating disease.
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Affiliation(s)
- Deepti Putcha
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| | - Yuta Katsumi
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| | - Michael Brickhouse
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Ryn Flaherty
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - David H Salat
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, MA, USA
| | - Alexandra Touroutoglou
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Massachusetts Alzheimer's Disease Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| | - Bradford C Dickerson
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Massachusetts Alzheimer's Disease Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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12
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Katsumi Y, Wong B, Cavallari M, Fong TG, Alsop DC, Andreano JM, Carvalho N, Brickhouse M, Jones R, Libermann TA, Marcantonio ER, Schmitt E, Shafi MM, Pascual-Leone A, Travison T, Barrett LF, Inouye SK, Dickerson BC, Touroutoglou A. Structural integrity of the anterior mid-cingulate cortex contributes to resilience to delirium in SuperAging. Brain Commun 2022; 4:fcac163. [PMID: 35822100 PMCID: PMC9272062 DOI: 10.1093/braincomms/fcac163] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 05/24/2022] [Accepted: 06/20/2022] [Indexed: 12/12/2022] Open
Abstract
Abstract
Despite its devastating clinical and societal impact, approaches to treat delirium in older adults remain elusive, making it important to identify factors that may confer resilience to this syndrome. Here, we investigated a cohort of 93 cognitively normal older patients undergoing elective surgery recruited as part of the Successful Aging after Elective Surgery study. Each participant was classified either as a SuperAger (n = 19) or typically aging older adult (n = 74) based on neuropsychological criteria, where the former was defined as those older adults whose memory function rivals that of young adults. We compared these subgroups to examine the role of preoperative memory function in the incidence and severity of postoperative delirium. We additionally investigated the association between indices of postoperative delirium symptoms and cortical thickness in functional networks implicated in SuperAging based on structural magnetic resonance imaging data that were collected preoperatively. We found that SuperAging confers the real-world benefit of resilience to delirium, as shown by lower (i.e. zero) incidence of postoperative delirium and decreased severity scores compared with typical older adults. Furthermore, greater baseline cortical thickness of the anterior mid-cingulate cortex—a key node of the brain’s salience network that is also consistently implicated in SuperAging—predicted lower postoperative delirium severity scores in all patients. Taken together, these findings suggest that baseline memory function in older adults may be a useful predictor of postoperative delirium risk and severity and that superior memory function may contribute to resilience to delirium. In particular, the integrity of the anterior mid-cingulate cortex may be a potential biomarker of resilience to delirium, pointing to this region as a potential target for preventive or therapeutic interventions designed to mitigate the risk or consequences of developing this prevalent clinical syndrome.
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Affiliation(s)
- Yuta Katsumi
- Harvard Medical School , Boston MA , USA
- Frontotemporal Disorders Unit, Massachusetts General Hospital , Boston MA , USA
- Department of Neurology, Massachusetts General Hospital , Boston MA , USA
| | - Bonnie Wong
- Harvard Medical School , Boston MA , USA
- Frontotemporal Disorders Unit, Massachusetts General Hospital , Boston MA , USA
- Department of Psychiatry, Massachusetts General Hospital , Boston MA , USA
| | - Michele Cavallari
- Harvard Medical School , Boston MA , USA
- Center for Neurologlical Imaging, Department of Radiology, Brigham and Women’s Hospital , Boston MA , USA
| | - Tamara G Fong
- Harvard Medical School , Boston MA , USA
- Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife , Boston MA , USA
- Department of Neurology, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - David C Alsop
- Harvard Medical School , Boston MA , USA
- Department of Medicine, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - Joseph M Andreano
- Harvard Medical School , Boston MA , USA
- Department of Psychiatry, Massachusetts General Hospital , Boston MA , USA
| | - Nicole Carvalho
- Frontotemporal Disorders Unit, Massachusetts General Hospital , Boston MA , USA
- Department of Neurology, Massachusetts General Hospital , Boston MA , USA
| | - Michael Brickhouse
- Frontotemporal Disorders Unit, Massachusetts General Hospital , Boston MA , USA
- Department of Neurology, Massachusetts General Hospital , Boston MA , USA
| | - Richard Jones
- Department of Psychiatry and Human Behavior and Neurology, Brown University Warren Alpert Medical School , Providence RI , USA
| | - Towia A Libermann
- Harvard Medical School , Boston MA , USA
- Genomics, Proteomics, Bioinformatics and Systems Biology Center, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - Edward R Marcantonio
- Harvard Medical School , Boston MA , USA
- Department of Medicine, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - Eva Schmitt
- Harvard Medical School , Boston MA , USA
- Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife , Boston MA , USA
| | - Mouhsin M Shafi
- Harvard Medical School , Boston MA , USA
- Department of Neurology, Beth Israel Deaconess Medical Center , Boston MA , USA
- Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - Alvaro Pascual-Leone
- Harvard Medical School , Boston MA , USA
- Berenson-Allen Center for Non-Invasive Brain Stimulation, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - Thomas Travison
- Harvard Medical School , Boston MA , USA
- Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife , Boston MA , USA
| | - Lisa Feldman Barrett
- Harvard Medical School , Boston MA , USA
- Department of Psychiatry, Massachusetts General Hospital , Boston MA , USA
- Department of Psychology, Northeastern University , Boston MA , USA
| | - Sharon K Inouye
- Harvard Medical School , Boston MA , USA
- Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife , Boston MA , USA
- Department of Medicine, Beth Israel Deaconess Medical Center , Boston MA , USA
| | - Bradford C Dickerson
- Harvard Medical School , Boston MA , USA
- Frontotemporal Disorders Unit, Massachusetts General Hospital , Boston MA , USA
- Department of Neurology, Massachusetts General Hospital , Boston MA , USA
- Department of Psychiatry, Massachusetts General Hospital , Boston MA , USA
- Massachusetts Alzheimer’s Disease Research Center, Massachusetts General Hospital , Boston MA , USA
| | - Alexandra Touroutoglou
- Harvard Medical School , Boston MA , USA
- Frontotemporal Disorders Unit, Massachusetts General Hospital , Boston MA , USA
- Department of Neurology, Massachusetts General Hospital , Boston MA , USA
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13
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Katsumi Y, Moore M. Affective Enhancement of Episodic Memory Is Associated With Widespread Patterns of Intrinsic Functional Connectivity in the Brain Across the Adult Lifespan. Front Behav Neurosci 2022; 16:910180. [PMID: 35832290 PMCID: PMC9271876 DOI: 10.3389/fnbeh.2022.910180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/10/2022] [Indexed: 11/13/2022] Open
Abstract
Subjectively arousing experiences tend to be better remembered than neutral ones. While numerous task-related neuroimaging studies have revealed the neural mechanisms associated with this phenomenon, it remains unclear how variability in the extent to which individuals show superior memory for subjectively arousing stimuli is associated with the intrinsic functional organization of their brains. Here, we addressed this issue using functional magnetic resonance imaging data collected at rest from a sample drawn from the Cambridge Centre for Ageing and Neuroscience cohort (N = 269, 18–86 years). Specifically, we performed multi-voxel pattern analysis of intrinsic functional connectivity, an unbiased, data-driven approach to examine whole-brain voxel-wise connectivity patterns. This technique allowed us to reveal the most important features from the high-dimensional, whole-brain connectivity structure without a priori hypotheses about the topography and direction of functional connectivity differences. Behaviorally, both item and associative memory accuracy were enhanced for trials with affectively arousing (positive or negative) stimuli than those with neutral ones. Whole-brain multi-voxel pattern analysis of functional connectivity revealed that the affective enhancement of memory was associated with intrinsic connectivity patterns of spatially distributed brain regions belonging to several functional networks in the cerebral cortex. Post hoc seed-based brain-behavior regression analysis and principal component analysis of the resulting correlation maps showed that these connectivity patterns were in turn primarily characterized by the involvement of heteromodal association and paralimbic (dorsal attention, salience, and default mode) networks of the cerebral cortex as well as select subcortical structures (striatum, thalamus, and cerebellum). Collectively, these findings suggest that the affective enhancement of episodic memory may be characterized as a whole-brain phenomenon, possibly supported by intrinsic functional interactions across several networks and structures in the brain.
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Affiliation(s)
- Yuta Katsumi
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- *Correspondence: Yuta Katsumi,
| | - Matthew Moore
- War Related Illness and Injury Study Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States
- Matthew Moore,
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14
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Kimura S, Gamo H, Katsumi Y, Motohisa J, Tomioka K. InP nanowire light-emitting diodes with different pn-junction structures. Nanotechnology 2022; 33:305204. [PMID: 35395650 DOI: 10.1088/1361-6528/ac659a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 04/08/2022] [Indexed: 06/14/2023]
Abstract
We report on the characterization of wurtzite (WZ) InP nanowire (NW) light-emitting diodes (LEDs) with different pn junctions (axial and radial). The series resistance tended to be smaller in the NW-LED using core-shell InP NWs with a radial pn junction than in the NW-LED using InP NWs with an axial pn junction, indicating that radial pn junctions are more suitable for current injection. The electroluminescence (EL) properties of both NW LEDs revealed that the EL had three peaks originating from the zinc-blende (ZB) phase, WZ phase, and ZB/WZ heterojunction. Transmission electron microscopy showed that the dominant EL in the radial pn junction originated from the ZB/WZ interface across the stacking faults.
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Affiliation(s)
- S Kimura
- Graduate School of Information Science and Technology and Research Center for Integrated Quantum Electronics (RCIQE), Hokkaido University, Japan
| | - H Gamo
- Graduate School of Information Science and Technology and Research Center for Integrated Quantum Electronics (RCIQE), Hokkaido University, Japan
| | - Y Katsumi
- Graduate School of Information Science and Technology and Research Center for Integrated Quantum Electronics (RCIQE), Hokkaido University, Japan
| | - J Motohisa
- Graduate School of Information Science and Technology and Research Center for Integrated Quantum Electronics (RCIQE), Hokkaido University, Japan
| | - K Tomioka
- Graduate School of Information Science and Technology and Research Center for Integrated Quantum Electronics (RCIQE), Hokkaido University, Japan
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15
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Abstract
Abstract
This paper integrates emerging evidence from two broad scientific literatures into one common framework: (1) Hierarchical gradients of functional connectivity that reflect the brain’s large-scale structural architecture (e.g., a lamination gradient in the cerebral cortex) and (2) approaches to predictive processing and one of its specific instantiations called allostasis (i.e., the predictive regulation of energetic resources in the service of coordinating the body’s internal systems). This synthesis begins to sketch a coherent, neurobiologically-inspired framework suggesting that predictive energy regulation is at the core of human brain function, and by extension, psychological and behavioral phenomena, providing a shared vocabulary for theory building and knowledge accumulation.
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Affiliation(s)
- Yuta Katsumi
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston MA 02115
| | | | - Karen S. Quigley
- Department of Psychology, Northeastern University, Boston MA 02115
| | - Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston MA 02115
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston MA 02115
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston MA 02115
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16
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Putcha D, Eckbo R, Katsumi Y, Dickerson BC, Touroutoglou A, Collins JA. OUP accepted manuscript. Brain Commun 2022; 4:fcac055. [PMID: 35356035 PMCID: PMC8963312 DOI: 10.1093/braincomms/fcac055] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 01/26/2022] [Accepted: 03/07/2022] [Indexed: 11/12/2022] Open
Abstract
Alzheimer’s disease-related atrophy in the posterior cingulate cortex, a key node of the default mode network, is present in the early stages of disease progression across clinical phenotypic variants of the disease. In the typical amnestic variant, posterior cingulate cortex neuropathology has been linked with disrupted connectivity of the posterior default mode network, but it remains unclear if this relationship is observed across atypical variants of Alzheimer’s disease. In the present study, we first sought to determine if tau pathology is consistently present in the posterior cingulate cortex and other posterior nodes of the default mode network across the atypical Alzheimer’s disease syndromic spectrum. Second, we examined functional connectivity disruptions within the default mode network and sought to determine if tau pathology is related to functional disconnection within this network. We studied a sample of 25 amyloid-positive atypical Alzheimer’s disease participants examined with high-resolution MRI, tau (18F-AV-1451) PET, and resting-state functional MRI. In these patients, high levels of tau pathology in the posteromedial cortex and hypoconnectivity between temporal and parietal nodes of the default mode network were observed relative to healthy older controls. Furthermore, higher tau signal and reduced grey matter density in the posterior cingulate cortex and angular gyrus were associated with reduced parietal functional connectivity across individual patients, related to poorer cognitive scores. Our findings converge with what has been reported in amnestic Alzheimer’s disease, and together these observations offer a unifying mechanistic feature that relates posterior cingulate cortex tau deposition to aberrant default mode network connectivity across heterogeneous clinical phenotypes of Alzheimer’s disease.
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Affiliation(s)
- Deepti Putcha
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Correspondence to: Deepti Putcha, PhD Frontotemporal Disorders Unit Massachusetts General Hospital Boston MA 02129, USA E-mail:
| | - Ryan Eckbo
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Yuta Katsumi
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Bradford C. Dickerson
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Alzheimer’s Disease Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alexandra Touroutoglou
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jessica A. Collins
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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17
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Moore M, Katsumi Y, Dolcos S, Dolcos F. Electrophysiological Correlates of Social Decision-making: An EEG Investigation of a Modified Ultimatum Game. J Cogn Neurosci 2021; 34:54-78. [PMID: 34673955 DOI: 10.1162/jocn_a_01782] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Cooperation behaviors during social decision-making have been shown to be sensitive to manipulations of context. However, it remains unclear how aspects of context in dynamic social interactions, such as observed nonverbal behaviors, may modulate cooperation decisions and the associated neural mechanisms. In this study, participants responded to offers from proposers to split $10 in an Ultimatum Game following observation of proposer approach (friendly) or avoidance (nonfriendly) behaviors, displayed by dynamic whole-body animated avatars, or following a nonsocial interaction control condition. As expected, behavioral results showed that participants tended to have greater acceptance rates for unfair offers following observed nonverbal social interactions with proposers compared with control, suggesting an enhancing effect of social interactions on cooperative decisions. ERP results showed greater N1 and N2 responses at the beginning of social interaction conditions compared with control, and greater sustained and late positivity responses for observed approach and avoidance proposer behaviors compared with control. Event-related spectral perturbation (ERSP) results showed differential sensitivity within theta, alpha, and beta bands during observation of social interactions and offers that was associated with subsequent decision behaviors. Together, these results point to the impact of proposers' nonverbal behaviors on subsequent cooperation decisions at both behavioral and neural levels. The ERP and ERSP findings suggest modulated attention, monitoring, and processing of biological motion during the observed nonverbal social interactions, influencing the participants' responses to offers. These findings shed light on electrophysiological correlates of response to observed social interactions that predict subsequent social decisions.
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Affiliation(s)
| | - Yuta Katsumi
- University of Illinois at Urbana-Champaign.,Northeastern University
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18
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Quimby M, Hochberg D, Katsumi Y, Carvalho N, Brickhouse M, Flaherty R, Dickerson BC, Touroutoglou A. Neuroanatomical predictors of progression to dementia in primary progressive aphasia. Alzheimers Dement 2021. [DOI: 10.1002/alz.055004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Megan Quimby
- Frontotemporal Disorders Unit Department of Neurology Massachusetts General Hospital Harvard Medical School Boston MA USA
| | | | - Yuta Katsumi
- Frontotemporal Disorders Unit Department of Neurology Massachusetts General Hospital Harvard Medical School Boston MA USA
| | - Nicole Carvalho
- Frontotemporal Disorders Unit Department of Neurology Massachusetts General Hospital Harvard Medical School Boston MA USA
| | - Michael Brickhouse
- Frontotemporal Disorders Unit Department of Neurology Massachusetts General Hospital Harvard Medical School Boston MA USA
| | - Ryn Flaherty
- Frontotemporal Disorders Unit Department of Neurology Massachusetts General Hospital Harvard Medical School Boston MA USA
| | - Brad C. Dickerson
- Frontotemporal Disorders Unit Department of Neurology Massachusetts General Hospital Harvard Medical School Boston MA USA
| | - Alexandra Touroutoglou
- Frontotemporal Disorders Unit Department of Neurology Massachusetts General Hospital Harvard Medical School Boston MA USA
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19
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Eldaief MC, Brickhouse M, Katsumi Y, Carvalho N, Rosen HJ, Touroutoglou A, Dickerson BC. Atrophy in bvFTD spans multiple large‐scale networks in prefrontal and temporal cortex. Alzheimers Dement 2021. [DOI: 10.1002/alz.055338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Mark C Eldaief
- Martinos Center for Biomedical Imaging Charlestown MA USA
- Massachusetts General Hospital/Harvard Medical School Boston MA USA
| | - Michael Brickhouse
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School Boston MA USA
| | - Yuta Katsumi
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School Boston MA USA
| | | | - Howard J. Rosen
- University of California, San Francisco San Francisco CA USA
| | - Alexandra Touroutoglou
- Martinos Center for Biomedical Imaging Charlestown MA USA
- Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School Boston MA USA
| | - Brad C. Dickerson
- Martinos Center for Biomedical Imaging Charlestown MA USA
- Massachusetts General Hospital/Harvard Medical School Boston MA USA
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20
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Katsumi Y, Eckbo R, Putcha D, Wong B, Quimby M, McGinnis SM, Touroutoglou A, Dickerson BC. Individual variability in the cortical distribution of elevated
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F‐flortaucipir uptake in posterior cortical atrophy. Alzheimers Dement 2021. [DOI: 10.1002/alz.055320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Yuta Katsumi
- Frontotemporal Disorders Unit Department of Neurology Massachusetts General Hospital Harvard Medical School Boston MA USA
| | - Ryan Eckbo
- Massachusetts General Hospital Charlestown MA USA
| | | | - Bonnie Wong
- Massachusetts General Hospital/Harvard Medical School Boston MA USA
| | | | | | - Alexandra Touroutoglou
- Frontotemporal Disorders Unit Department of Neurology Massachusetts General Hospital Harvard Medical School Boston MA USA
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21
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Katsumi Y, Andreano JM, Barrett LF, Dickerson BC, Touroutoglou A. Greater Neural Differentiation in the Ventral Visual Cortex Is Associated with Youthful Memory in Superaging. Cereb Cortex 2021; 31:5275-5287. [PMID: 34190976 DOI: 10.1093/cercor/bhab157] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 04/23/2021] [Accepted: 05/17/2021] [Indexed: 11/13/2022] Open
Abstract
Superagers are older adults who maintain youthful memory despite advanced age. Previous studies showed that superagers exhibit greater structural and intrinsic functional brain integrity, which contribute to their youthful memory. However, no studies, to date, have examined brain activity as superagers learn and remember novel information. Here, we analyzed functional magnetic resonance imaging data collected from 41 young and 40 older adults while they performed a paired associate visual recognition memory task. Superaging was defined as youthful performance on the long delay free recall of the California Verbal Learning Test. We assessed the fidelity of neural representations as participants encoded and later retrieved a series of word stimuli paired with a face or a scene image. Superagers, like young adults, exhibited more distinct neural representations in the fusiform gyrus and parahippocampal gyrus while viewing visual stimuli belonging to different categories (greater neural differentiation) and more similar category representations between encoding and retrieval (greater neural reinstatement), compared with typical older adults. Greater neural differentiation and reinstatement were associated with superior memory performance in all older adults. Given that the fidelity of cortical sensory processing depends on neural plasticity and is trainable, these mechanisms may be potential biomarkers for future interventions to promote successful aging.
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Affiliation(s)
- Yuta Katsumi
- Department of Psychology, Northeastern University, Boston, MA 02115, USA.,Japan Society for the Promotion of Science, Tokyo 1020083, Japan.,Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Joseph M Andreano
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston, MA 02115, USA.,Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Bradford C Dickerson
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.,Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
| | - Alexandra Touroutoglou
- Frontotemporal Disorders Unit, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA.,Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
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22
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Moore M, Maclin EL, Iordan AD, Katsumi Y, Larsen RJ, Bagshaw AP, Mayhew S, Shafer AT, Sutton BP, Fabiani M, Gratton G, Dolcos F. Proof-of-concept evidence for trimodal simultaneous investigation of human brain function. Hum Brain Mapp 2021; 42:4102-4121. [PMID: 34160860 PMCID: PMC8357002 DOI: 10.1002/hbm.25541] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 04/04/2021] [Accepted: 05/13/2021] [Indexed: 12/03/2022] Open
Abstract
The link between spatial (where) and temporal (when) aspects of the neural correlates of most psychological phenomena is not clear. Elucidation of this relation, which is crucial to fully understand human brain function, requires integration across multiple brain imaging modalities and cognitive tasks that reliably modulate the engagement of the brain systems of interest. By overcoming the methodological challenges posed by simultaneous recordings, the present report provides proof‐of‐concept evidence for a novel approach using three complementary imaging modalities: functional magnetic resonance imaging (fMRI), event‐related potentials (ERPs), and event‐related optical signals (EROS). Using the emotional oddball task, a paradigm that taps into both cognitive and affective aspects of processing, we show the feasibility of capturing converging and complementary measures of brain function that are not currently attainable using traditional unimodal or other multimodal approaches. This opens up unprecedented possibilities to clarify spatiotemporal integration of brain function.
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Affiliation(s)
- Matthew Moore
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Edward L Maclin
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Alexandru D Iordan
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Psychology, University of Michigan, Ann Arbor, Michigan, USA
| | - Yuta Katsumi
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Psychology, Northeastern University, Boston, Massachusetts, USA
| | - Ryan J Larsen
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Andrew P Bagshaw
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK
| | - Stephen Mayhew
- Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK
| | - Andrea T Shafer
- Centre for Neuroscience, University of Alberta, Alta., Canada; now at Laboratory of Behavioral Neuroscience, Brain Imaging and Behavior Section, National Institute on Aging, Baltimore, Maryland, USA
| | - Bradley P Sutton
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Monica Fabiani
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA
| | - Gabriele Gratton
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA
| | - Florin Dolcos
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA
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23
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Hoemann K, Hartley L, Watanabe A, Solana Leon E, Katsumi Y, Barrett LF, Quigley KS. The N400 indexes acquisition of novel emotion concepts via conceptual combination. Psychophysiology 2020; 58:e13727. [PMID: 33241553 DOI: 10.1111/psyp.13727] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 07/01/2020] [Accepted: 10/29/2020] [Indexed: 11/28/2022]
Abstract
The ability to learn new emotion concepts is adaptive and socially valuable as it communicates culturally held understandings about values, goals, and experiences. Yet, little work has examined the underlying mechanisms that allow for new emotion concepts and words to be integrated into the conceptual system. One such mechanism may be conceptual combination, or the ability to form novel concepts by dynamically combining previously acquired conceptual knowledge. In this study, we used event-related potentials (ERPs) to investigate the electrophysiological correlates of novel emotion concept acquisition via conceptual combination. Participants were briefly trained on 30 novel emotion combinations, each consisting of two English emotion words (the components; e.g., "sadness + fatigue") and a pseudoword (the target; e.g., "despip"). Participants then completed a semantic congruency task while ERPs were recorded. On each trial, two components were presented serially, followed by a target; participants judged whether the target was a valid combination of the preceding components. Targets could be correct or incorrect trained pseudowords, or new untrained pseudowords. Furthermore, components could be presented in reversed order (e.g., "fatigue" then "sadness") or as synonyms (e.g., "exhaustion" for "fatigue"). Consistent with our main hypotheses, we found a main effect of target, such that the correct combinations showed reduced N400 amplitudes when compared to both incorrect and untrained pseudowords. Critically, this effect held regardless of how the preceding components were presented, suggesting deeper semantic learning. These results extend prior findings on conceptual combination and novel word learning, and are congruent with predictive processing accounts of brain function.
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Affiliation(s)
- Katie Hoemann
- Department of Psychology, Northeastern University, Boston, MA, USA
| | - Ludger Hartley
- Department of Psychology, Northeastern University, Boston, MA, USA
| | - Akira Watanabe
- Khoury College of Computer Science, Northeastern University, Boston, MA, USA
| | | | - Yuta Katsumi
- Department of Psychology, Northeastern University, Boston, MA, USA
| | - Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston, MA, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Karen S Quigley
- Department of Psychology, Northeastern University, Boston, MA, USA.,Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, USA
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24
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Katsumi Y, Dolcos S, Dixon RA, Fabiani M, Stine-Morrow EAL, Dolcos F. Immediate and long-term effects of emotional suppression in aging: A functional magnetic resonance imaging investigation. Psychol Aging 2020; 35:676-696. [PMID: 32744850 DOI: 10.1037/pag0000437] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Available evidence suggests enhanced spontaneous emotion regulation in healthy aging, but the effects of specific strategies and the associated age-related neural mechanisms remain unclear. In this study, younger and older participants rated the emotional content of negative and neutral images, after explicit instructions or implicit priming to engage emotional suppression as an emotion regulation strategy, while functional magnetic resonance imaging (fMRI) data were recorded. Participants' memory for the images was also tested 1 week later. Behaviorally, younger and older adults were similarly successful in using explicit suppression to inhibit immediate emotional responses. However, this was associated with reduced long-term memory only for younger adults. fMRI data showed dissociable activity in the lateral prefrontal cortex (PFC) coupled with similar activity in the amygdala in younger and older adults after the engagement of emotional suppression. Results also identified a lateral-to-medial shift in the functional connectivity of the PFC in aging, linked to the engagement of explicit suppression. Regarding memory, younger adults uniquely showed bilateral modulation of encoding-related activity in the hippocampus (HC), as well as a left-lateralized decrease of the HC-PFC functional connectivity after explicit emotional suppression. This is consistent with diminished involvement of typical mechanisms associated with emotional memory because of successful engagement of explicit suppression in younger adults. Taken together, these findings identified similar and differential effects of suppression on immediate emotional responses and long-term memory for emotional information, in younger and older adults, and provide insights into the neural mechanisms by which younger and older adults adaptively cope with emotional challenges. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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25
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Katsumi Y, Dolcos S. Suppress to feel and remember less: Neural correlates of explicit and implicit emotional suppression on perception and memory. Neuropsychologia 2020; 145:106683. [DOI: 10.1016/j.neuropsychologia.2018.02.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 02/02/2018] [Accepted: 02/08/2018] [Indexed: 12/28/2022]
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26
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Katsumi Y, Racine AM, Torrado-Carvajal A, Loggia ML, Hooker JM, Greve DN, Hightower BG, Catana C, Cavallari M, Arnold SE, Fong TG, Vasunilashorn SM, Marcantonio ER, Schmitt EM, Xu G, Libermann TA, Barrett LF, Inouye SK, Dickerson BC, Touroutoglou A, Collins JA. The Role of Inflammation after Surgery for Elders (RISE) study: Examination of [ 11C]PBR28 binding and exploration of its link to post-operative delirium. Neuroimage Clin 2020; 27:102346. [PMID: 32712451 PMCID: PMC7390821 DOI: 10.1016/j.nicl.2020.102346] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 06/11/2020] [Accepted: 07/10/2020] [Indexed: 12/11/2022]
Abstract
Major surgery is associated with a systemic inflammatory cascade that is thought, in some cases, to contribute to transient and/or sustained cognitive decline, possibly through neuroinflammatory mechanisms. However, the relationship between surgery, peripheral and central nervous system inflammation, and post-operative cognitive outcomes remains unclear in humans, primarily owing to limitations of in vivo biomarkers of neuroinflammation which vary in sensitivity, specificity, validity, and reliability. In the present study, [11C]PBR28 positron emission tomography, cerebrospinal fluid (CSF), and blood plasma biomarkers of inflammation were assessed pre-operatively and 1-month post-operatively in a cohort of patients (N = 36; 30 females; ≥70 years old) undergoing major orthopedic surgery under spinal anesthesia. Delirium incidence and severity were evaluated daily during hospitalization. Whole-brain voxel-wise and regions-of-interest analyses were performed to determine the magnitude and spatial extent of changes in [11C]PBR28 uptake following surgery. Results demonstrated that, compared with pre-operative baseline, [11C]PBR28 binding in the brain was globally downregulated at 1 month following major orthopedic surgery, possibly suggesting downregulation of the immune system of the brain. No significant relationship was identified between post-operative delirium and [11C]PBR28 binding, possibly due to a small number (n = 6) of delirium cases in the sample. Additionally, no significant relationships were identified between [11C]PBR28 binding and CSF/plasma biomarkers of inflammation. Collectively, these results contribute to the literature by demonstrating in a sizeable sample the effect of major surgery on neuroimmune activation and preliminary evidence identifying no apparent associations between [11C]PBR28 binding and fluid inflammatory markers or post-operative delirium.
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Affiliation(s)
- Yuta Katsumi
- Department of Psychology, Northeastern University, Boston, MA, United States; Japan Society for the Promotion of Science, Tokyo, Japan; Harvard Medical School, Boston, MA, United States
| | - Annie M Racine
- Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
| | - Angel Torrado-Carvajal
- Harvard Medical School, Boston, MA, United States; Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Medical Image Analysis and Biometry Laboratory, Universidad Rey Juan Carlos, Madrid, Spain
| | - Marco L Loggia
- Harvard Medical School, Boston, MA, United States; Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Jacob M Hooker
- Harvard Medical School, Boston, MA, United States; Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Douglas N Greve
- Harvard Medical School, Boston, MA, United States; Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Baileigh G Hightower
- Harvard Medical School, Boston, MA, United States; Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Ciprian Catana
- Harvard Medical School, Boston, MA, United States; Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Michele Cavallari
- Harvard Medical School, Boston, MA, United States; Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States
| | - Steven E Arnold
- Harvard Medical School, Boston, MA, United States; Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - Tamara G Fong
- Harvard Medical School, Boston, MA, United States; Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States; Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Sarinnapha M Vasunilashorn
- Harvard Medical School, Boston, MA, United States; Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Edward R Marcantonio
- Harvard Medical School, Boston, MA, United States; Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Eva M Schmitt
- Harvard Medical School, Boston, MA, United States; Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
| | - Guoquan Xu
- Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States
| | - Towia A Libermann
- Harvard Medical School, Boston, MA, United States; Genomics, Proteomics, Bioinformatics and Systems Biology, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Sharon K Inouye
- Harvard Medical School, Boston, MA, United States; Aging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, United States; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Bradford C Dickerson
- Harvard Medical School, Boston, MA, United States; Frontotemporal Disorders Unit, Massachusetts General Hospital, Boston, MA, United States; Department of Neurology, Massachusetts General Hospital, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Alexandra Touroutoglou
- Harvard Medical School, Boston, MA, United States; Frontotemporal Disorders Unit, Massachusetts General Hospital, Boston, MA, United States; Department of Neurology, Massachusetts General Hospital, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Jessica A Collins
- Harvard Medical School, Boston, MA, United States; Frontotemporal Disorders Unit, Massachusetts General Hospital, Boston, MA, United States; Department of Neurology, Massachusetts General Hospital, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
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27
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Dolcos F, Katsumi Y, Bogdan PC, Shen C, Jun S, Buetti S, Lleras A, Bost KF, Weymar M, Dolcos S. The impact of focused attention on subsequent emotional recollection: A functional MRI investigation. Neuropsychologia 2020; 138:107338. [PMID: 31926178 DOI: 10.1016/j.neuropsychologia.2020.107338] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 12/18/2019] [Accepted: 01/07/2020] [Indexed: 11/26/2022]
Abstract
In his seminal works, Endel Tulving argued that functionally distinct memory systems give rise to subjective experiences of remembering and knowing (i.e., recollection- vs. familiarity-based memory, respectively). Evidence shows that emotion specifically enhances recollection, and this effect is subserved by a synergistic mechanism involving the amygdala (AMY) and hippocampus (HC). In extreme circumstances, however, uncontrolled recollection of highly distressing memories may lead to symptoms of affective disorders. Therefore, it is important to understand the factors that can diminish such detrimental effects. Here, we investigated the effects of Focused Attention (FA) on emotional recollection. FA is an emotion regulation strategy that has been proven quite effective in reducing the impact of emotional responses associated with the recollection of distressing autobiographical memories, but its impact during emotional memory encoding is not known. Functional MRI and eye-tracking data were recorded while participants viewed a series of composite negative and neutral images with distinguishable foreground (FG) and background (BG) areas. Participants were instructed to focus either on the FG or BG content of the images and to rate their emotional responses. About 4 days later, participants' memory was assessed using the R/K procedure, to indicate whether they Recollected specific contextual details about the encoded images or the images were just familiar to them - i.e., participants only Knew that they saw the pictures without being able to remember specific contextual details. First, results revealed that FA was successful in decreasing memory for emotional pictures viewed in BG Focus condition, and this effect was driven by recollection-based retrieval. Second, the BG Focus condition was associated with decreased activity in the AMY, HC, and anterior parahippocampal gyrus for subsequently recollected emotional items. Moreover, correlation analyses also showed that reduced activity in these regions predicted greater reduction in emotional recollection following FA. These results demonstrate the effectiveness of FA in mitigating emotional experiences and emotional recollection associated with unpleasant emotional events.
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Affiliation(s)
- Florin Dolcos
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA; Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
| | - Yuta Katsumi
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Paul C Bogdan
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Chen Shen
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Suhnyoung Jun
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Simona Buetti
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Alejandro Lleras
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Kelly Freeman Bost
- Family Resiliency Center, Department of Human Development and Family Studies, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Mathias Weymar
- Department of Psychology, University of Potsdam, Potsdam, Germany
| | - Sanda Dolcos
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
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28
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Zhang J, Abiose O, Katsumi Y, Touroutoglou A, Dickerson BC, Barrett LF. Intrinsic Functional Connectivity is Organized as Three Interdependent Gradients. Sci Rep 2019; 9:15976. [PMID: 31685830 PMCID: PMC6828953 DOI: 10.1038/s41598-019-51793-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 10/07/2019] [Indexed: 02/06/2023] Open
Abstract
The intrinsic functional architecture of the brain supports moment-to-moment maintenance of an internal model of the world. We hypothesized and found three interdependent architectural gradients underlying the organization of intrinsic functional connectivity within the human cerebral cortex. We used resting state fMRI data from two samples of healthy young adults (N's = 280 and 270) to generate functional connectivity maps of 109 seeds culled from published research, estimated their pairwise similarities, and multidimensionally scaled the resulting similarity matrix. We discovered an optimal three-dimensional solution, accounting for 98% of the variance within the similarity matrix. The three dimensions corresponded to three gradients, which spatially correlate with two functional features (external vs. internal sources of information; content representation vs. attentional modulation) and one structural feature (anatomically central vs. peripheral) of the brain. Remapping the three dimensions into coordinate space revealed that the connectivity maps were organized in a circumplex structure, indicating that the organization of intrinsic connectivity is jointly guided by graded changes along all three dimensions. Our findings emphasize coordination between multiple, continuous functional and anatomical gradients, and are consistent with the emerging predictive coding perspective.
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Affiliation(s)
- Jiahe Zhang
- Department of Psychology, Northeastern University, Boston, MA, 02115, USA
| | - Olamide Abiose
- Center for Law, Brain and Behavior, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Yuta Katsumi
- Department of Psychology, Northeastern University, Boston, MA, 02115, USA
| | - Alexandra Touroutoglou
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 149 13th St., Charlestown, MA, 02129, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, 149 13th St., Charlestown, MA, 02129, USA
| | - Bradford C Dickerson
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 149 13th St., Charlestown, MA, 02129, USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, 149 13th St., Charlestown, MA, 02129, USA
| | - Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston, MA, 02115, USA.
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, 149 13th St., Charlestown, MA, 02129, USA.
- Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, 149 13th St., Charlestown, MA, 02129, USA.
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29
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Katsumi Y, Dolcos F, Moore M, Bartholow BD, Fabiani M, Dolcos S. Electrophysiological Correlates of Racial In-group Bias in Observing Nonverbal Social Encounters. J Cogn Neurosci 2019; 32:167-186. [PMID: 31560271 DOI: 10.1162/jocn_a_01475] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Despite evidence identifying the role of group membership in social cognition, the neural mechanisms associated with the perception and evaluation of nonverbal behaviors displayed by in-group versus out-group members remain unclear. Here, 42 white participants underwent electroencephalographic recording while observing social encounters involving dynamic displays of nonverbal behaviors by racial in-group and out-group avatar characters. Dynamic behaviors included approach and avoidance poses and expressions, followed by the participants' ratings of the avatars displaying them. Behaviorally, participants showed longer RTs when evaluating in-group approach behavior compared with other behaviors, possibly suggesting increased interest and attention devoted to processing positive social encounters with their in-group members. Analyses of ERPs revealed differential sensitivity of the N450 and late positivity components to social cues, with the former showing initial sensitivity to the presence of a humanoid avatar character at the beginning of social encounters and the latter showing sensitivity to dynamic nonverbal behaviors displayed by the avatars. Moreover, time-frequency analysis of electroencephalography data also identified suppression of beta-range power linked to the observation of dynamic nonverbal behaviors. Notably, the magnitude of these responses was modulated by the degree of behavioral racial in-group bias. This suggests that differential neural sensitivity to nonverbal cues while observing social encounters is associated with subsequent in-group bias manifested in the evaluation of such encounters. Collectively, these findings shed light on the mechanisms of racial in-group bias in social cognition and have implications for understanding factors related to successful interactions with individuals from diverse racial backgrounds.
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Katsumi Y, Dolcos S. Neural Correlates of Racial Ingroup Bias in Observing Computer-Animated Social Encounters. Front Hum Neurosci 2018; 11:632. [PMID: 29354042 PMCID: PMC5758503 DOI: 10.3389/fnhum.2017.00632] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2017] [Accepted: 12/11/2017] [Indexed: 01/05/2023] Open
Abstract
Despite evidence for the role of group membership in the neural correlates of social cognition, the mechanisms associated with processing non-verbal behaviors displayed by racially ingroup vs. outgroup members remain unclear. Here, 20 Caucasian participants underwent fMRI recording while observing social encounters with ingroup and outgroup characters displaying dynamic and static non-verbal behaviors. Dynamic behaviors included approach and avoidance behaviors, preceded or not by a handshake; both dynamic and static behaviors were followed by participants’ ratings. Behaviorally, participants showed bias toward their ingroup members, demonstrated by faster/slower reaction times for evaluating ingroup static/approach behaviors, respectively. At the neural level, despite overall similar responses in the action observation network to ingroup and outgroup encounters, the medial prefrontal cortex showed dissociable activation, possibly reflecting spontaneous processing of ingroup static behaviors and positive evaluations of ingroup approach behaviors. The anterior cingulate and superior frontal cortices also showed sensitivity to race, reflected in coordinated and reduced activation for observing ingroup static behaviors. Finally, the posterior superior temporal sulcus showed uniquely increased activity to observing ingroup handshakes. These findings shed light on the mechanisms of racial ingroup bias in observing social encounters, and have implications for understanding factors related to successful interactions with individuals from diverse backgrounds.
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Affiliation(s)
- Yuta Katsumi
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States.,Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Sanda Dolcos
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, United States.,Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
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Dolcos F, Katsumi Y, Weymar M, Moore M, Tsukiura T, Dolcos S. Emerging Directions in Emotional Episodic Memory. Front Psychol 2017; 8:1867. [PMID: 29255432 PMCID: PMC5723010 DOI: 10.3389/fpsyg.2017.01867] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Accepted: 10/09/2017] [Indexed: 01/12/2023] Open
Abstract
Building upon the existing literature on emotional memory, the present review examines emerging evidence from brain imaging investigations regarding four research directions: (1) Social Emotional Memory, (2) The Role of Emotion Regulation in the Impact of Emotion on Memory, (3) The Impact of Emotion on Associative or Relational Memory, and (4) The Role of Individual Differences in Emotional Memory. Across these four domains, available evidence demonstrates that emotion- and memory-related medial temporal lobe brain regions (amygdala and hippocampus, respectively), together with prefrontal cortical regions, play a pivotal role during both encoding and retrieval of emotional episodic memories. This evidence sheds light on the neural mechanisms of emotional memories in healthy functioning, and has important implications for understanding clinical conditions that are associated with negative affective biases in encoding and retrieving emotional memories.
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Affiliation(s)
- Florin Dolcos
- Department of Psychology, University of Illinois at Urbana–Champaign, Champaign, IL, United States
- Neuroscience Program, University of Illinois at Urbana–Champaign, Champaign, IL, United States
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Champaign, IL, United States
| | - Yuta Katsumi
- Department of Psychology, University of Illinois at Urbana–Champaign, Champaign, IL, United States
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Champaign, IL, United States
| | - Mathias Weymar
- Department of Psychology, University of Potsdam, Potsdam, Germany
| | - Matthew Moore
- Department of Psychology, University of Illinois at Urbana–Champaign, Champaign, IL, United States
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Champaign, IL, United States
| | - Takashi Tsukiura
- Department of Cognitive and Behavioral Sciences, Graduate School of Human and Environmental Studies, Kyoto University, Kyoto, Japan
| | - Sanda Dolcos
- Department of Psychology, University of Illinois at Urbana–Champaign, Champaign, IL, United States
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana–Champaign, Champaign, IL, United States
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Hirasawa Y, Katsumi Y, Akiyoshi T, Tamai K, Tokioka T. Clinical and Microangiographic Studies on Rupture of the E.P.L. Tendon after Distal Radial Fractures. Journal of Hand Surgery 2017; 15:51-7. [PMID: 2307881 DOI: 10.1016/0266-7681_90_90048-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
The authors have treated 14 cases of spontaneous rupture of extensor pollicis longus tendon after fractures of the distal end of the radius, most of which were undisplaced or only slightly displaced. A microvascular study on five cadavers revealed that this tendon is subject to mechanical bending and attrition, has no mesotenon and has a poorly vascularised portion about 5 mm in length, which may be a cause of spontaneous rupture of the tendon.
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Affiliation(s)
- Y Hirasawa
- Department of Orthopaedic Surgery, Kyoto Prefectural University of Medicine, Japan
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Dolcos S, Katsumi Y, Dixon RA. The role of arousal in the spontaneous regulation of emotions in healthy aging: a fMRI investigation. Front Psychol 2014; 5:681. [PMID: 25120498 PMCID: PMC4112914 DOI: 10.3389/fpsyg.2014.00681] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2014] [Accepted: 06/12/2014] [Indexed: 11/26/2022] Open
Abstract
Despite ample support for enhanced affective well-being and emotional stability in healthy aging, the role of potentially important dimensions, such as the emotional arousal, has not been systematically investigated in neuroimaging studies. In addition, the few behavioral studies that examined effects of arousal have produced inconsistent findings. The present study manipulated the arousal of pictorial stimuli to test the hypothesis that preserved emotional functioning in aging is modulated by the level of arousal, and to identify the associated neural correlates. Young and older healthy participants were presented with negative and neutral pictures, which they rated for emotional content, while fMRI data were recorded. There were three main novel findings regarding the neural mechanisms underlying the processing of negative pictures with different levels of arousal in young and older adults. First, the common engagement of the right amygdala in young and older adults was driven by high arousing negative stimuli. Second, complementing an age-related reduction in the subjective ratings for low arousing negative pictures, there were opposing patterns of activity in the rostral/ventral anterior cingulate cortex (ACC) and the amygdala, which showed increased vs. decreased responses, respectively, to low arousing negative pictures. Third, increased spontaneous activity in the ventral ACC/ventromedial prefrontal cortex (vmPFC) in older adults was linked to reduced ratings for low arousing negative pictures. Overall, these findings advance our understanding of the neural correlates underlying processing of negative emotions with different levels of arousal in the context of enhanced emotional functioning in healthy aging. Notably, the results support the idea that older adults have emotion regulation networks chronically activated, in the absence of explicit induction of the goal to regulate emotions, and that this effect is specific to low arousing negative emotions.
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Affiliation(s)
- Sanda Dolcos
- Department of Psychology, University of Illinois at Urbana-Champaign Champaign, IL, USA
| | - Yuta Katsumi
- Department of Psychology, University of Illinois at Urbana-Champaign Champaign, IL, USA
| | - Roger A Dixon
- Department of Psychology, University of Alberta Edmonton, AB, Canada
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Yagyu S, Gotoh T, Iehara T, Katsumi Y, Kikuchi K, Tamura S, Tsuchiya K, Sugimoto T, Sawada T, Hosoi H. Methylation analysis of DCR2 gene using tumor and serum DNA of neuroblastoma patients. J Clin Oncol 2008. [DOI: 10.1200/jco.2008.26.15_suppl.11067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Spicer J, See K, Zhang D, Katsumi Y, Brupbacher J, Vargo T. Linear and nonlinear optical behavior of palladium nanoparticle reinforced fluoropolymer composites. Chem Phys Lett 2007. [DOI: 10.1016/j.cplett.2007.07.087] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Nagahama Y, Okada T, Yamauchi H, Katsumi Y, Hayashi T, Oyanagi C, Konishi J, Fukuyama H, Shibasaki H. Dorsal premotor activation in a visuo-visual conditional task. Neuroimage 2001. [DOI: 10.1016/s1053-8119(01)91680-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Nagahama Y, Okada T, Katsumi Y, Hayashi T, Yamauchi H, Oyanagi C, Konishi J, Fukuyama H, Shibasaki H. Dissociable mechanisms of attentional control within the human prefrontal cortex. Cereb Cortex 2001; 11:85-92. [PMID: 11113037 DOI: 10.1093/cercor/11.1.85] [Citation(s) in RCA: 176] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Neuropsychological tests that require shifting an attentional set, such as the Wisconsin Card Sorting Test, are sensitive to frontal lobe damage. Although little information is available for humans, an animal experiment suggested that different regions of the prefrontal cortex may contribute to set shifting behavior at different levels of processing. Behavioral studies also suggest that set shifting trials are more time consuming than non-set shifting trials (i.e. switch cost) and that this may be underpinned by differences at the neural level. We determined whether there were differential neural responses associated with two different levels of shifting behavior, that of reversal of stimulus-response associations within a perceptual dimension or that of shifting an attentional set between different perceptual dimensions. Neural activity in the antero-dorsal prefrontal cortex increased only in attentional set shifting, in which switch costs were significant. Activity in the postero-ventral prefrontal cortex increased not only in set shifting but also in reversing stimulus-response associations, in which switch costs were absent. We conclude that these distinct regions in the human prefrontal cortex provide different levels of attention control in response selection. Thus, the antero-dorsal prefrontal cortex may be critical for higher order control of attention, i.e. attentional set shifting, whereas the postero-ventral area may be related to a lower level of shift, i.e. reorganizing stimulus-response associations.
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Affiliation(s)
- Y Nagahama
- Department of Brain Pathophysiology, Faculty of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo, Kyoto 606-8507, Japan
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Yamauchi H, Fukuyama H, Nagahama Y, Katsumi Y, Hayashi T, Oyanagi C, Konishi J, Shio H. Comparison of the pattern of atrophy of the corpus callosum in frontotemporal dementia, progressive supranuclear palsy, and Alzheimer's disease. J Neurol Neurosurg Psychiatry 2000; 69:623-9. [PMID: 11032614 PMCID: PMC1763404 DOI: 10.1136/jnnp.69.5.623] [Citation(s) in RCA: 72] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVES The loss of the neurons in layer 3, one of the groups of cortical neurons most vulnerable in various degenerative brain diseases, results in axonal degeneration leading to atrophy of the corpus callosum. Previous studies showed callosal atrophy in three degenerative dementias: frontotemporal dementia (FTD), progressive supranuclear palsy (PSP), and Alzheimer's disease (AD). However, it is unclear whether a characteristic pattern of atrophy is present in each. The objective of this study was to investigate whether the pattern of the callosal atrophy was different among patients with FTD, PSP, or early onset AD. METHODS Eleven patients with FTD, nine patients with PSP, 16 patients with early onset AD, and 23 normal controls, all age and sex matched, were studied using MRI. The ratios of midsagittal corpus callosum areas to the midline internal skull surface area on T1 weighted images were analyzed. The corpus callosum was divided into quarters: the anterior, middle-anterior, middle-posterior, and posterior portions. RESULTS Compared with controls, all three patient groups had significantly decreased total callosal/skull area ratio. An analysis of covariance adjusted for the total callosal area/skull area ratio showed that the anterior quarter callosal/skull area ratio in FTD, the middle-anterior quarter area ratio in PSP, and the posterior quarter area ratio in AD were significantly smaller than those in the other three groups. CONCLUSION Although atrophy of the corpus callosum is not specific to any degenerative dementia, the patterns of the atrophy are different among patients with FTD, PSP, or early onset AD. Differential patterns of callosal atrophy might reflect characteristic patterns of neocortical involvement in each degenerative dementia.
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Affiliation(s)
- H Yamauchi
- Department of Neurology, Faculty of Medicine, Kyoto University, Kyoto, Japan.
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Katsumi Y, Hayashi T, Oyanagi C, Nagahama Y, Yamauchi H, Ono S, Fukuyama H, Shibasaki H. Glucose metabolism in the rat frontal cortex recovered without the recovery of choline acetyltransferase activity after lesioning of the nucleus basalis magnocellularis. Neurosci Lett 2000; 280:9-12. [PMID: 10696799 DOI: 10.1016/s0304-3940(99)00993-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
We measured the cerebral metabolic rate of glucose (CMRglc) by using positron emission tomography (PET) with [18F]fluorodeoxyglucose (FDG) and the choline acetyltransferase (ChAT) activity at 3 days and 3 months after destruction of the nucleus basalis magnocellularis (NBM). Although the frontal ChAT activity remained 20% lower than that of controls even at 3 months post-lesioning, the frontal CMRglc, which was reduced by 40% at 3 days, returned to normal at 3 months, namely CMRglc recovered with time without the recovery of ChAT activity with time. Since glucose metabolism reflects mainly presynaptic neuronal activity, we speculate that presynaptic rearrangement may have some relation to the recovery of CMRglc.
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Affiliation(s)
- Y Katsumi
- Department of Neurology, Graduate School of Medicine, Kyoto University, Japan
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Katsumi Y, Hanakawa T, Fukuyama H, Hayashi T, Nagahama Y, Yamauchi H, Ouchi Y, Tsukada H, Shibasaki H. The effect of sequential lesioning in the basal forebrain on cerebral cortical glucose metabolism in rats. An animal positron emission tomography study. Brain Res 1999; 837:75-82. [PMID: 10433990 DOI: 10.1016/s0006-8993(99)01530-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
We studied the effect of the cortical projection from the basal forebrain on the cerebral cortical metabolism using positron emission tomography (PET) with [(18)F] fluorodeoxyglucose. Unilateral damage of the nucleus basalis magnocellularis (NBM) did not cause a permanent reduction of cortical metabolism: recovery was observed 4 weeks after the operation. Destruction of the contralateral side after recovery from unilateral damage produced persistent bilateral suppression of glucose metabolism, with partial recovery. We speculate that recovery from the unilateral NBM lesions is partly ascribable to the cholinergic projection from the contralateral NBM, and partly due to non-cholinergic systems, and conclude that bilateral damage might be responsible for persistent cortical glucose metabolism suppression.
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Affiliation(s)
- Y Katsumi
- Department of Neurology, Faculty of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
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Nagahama Y, Okada T, Katsumi Y, Hayashi T, Yamauchi H, Sawamoto N, Toma K, Nakamura K, Hanakawa T, Konishi J, Fukuyama H, Shibasaki H. Transient neural activity in the medial superior frontal gyrus and precuneus time locked with attention shift between object features. Neuroimage 1999; 10:193-9. [PMID: 10417251 DOI: 10.1006/nimg.1999.0451] [Citation(s) in RCA: 150] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
To investigate the contribution of the superior frontal gyrus and precuneus to the cognitive process of attention set shift, we examined the correlation between change in neural activity in these areas and the timing of attention set shift using event-related functional magnetic resonance imaging. Seven subjects underwent a card-sorting task in which they matched a test card to one of two target cards according to color or shape. The subjects had to determine the correct category based only on feedback and shift the sorting principle when the feedback changed from "correct" to "incorrect." Transient increase of neural activity time locked with attention shift phases was detected in the medial superior frontal gyrus (the rostral part of the supplementary motor area) and precuneus. During the control task, in which the feedback and the motor responses were preserved without any attention shift, this type of change in neural activity was not observed. Our findings indicate that increase in neural activity in these brain areas may be closely related to attention set shift between object features and suggest that these areas may play a role in the shifting of cognitive sets.
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Affiliation(s)
- Y Nagahama
- Faculty of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo, Kyoto, 606-8507, Japan
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Hayashi T, Fukuyama H, Katsumi Y, Hanakawa T, Nagahama Y, Yamauchi H, Tsukada H, Shibasaki H. Cerebral glucose metabolism in unilateral entorhinal cortex-lesioned rats: an animal PET study. Neuroreport 1999; 10:2113-8. [PMID: 10424684 DOI: 10.1097/00001756-199907130-00022] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
To evaluate the effect of entorhinal cortical lesion on cerebral cortical function, we studied cerebral glucose utilization (CMRGlc) using a high resolution PET scanner after quinolinic acid lesion of the unilateral entorhinal cortex in rats. [18F]Fluorodeoxyglucose PET was performed at 4 days and 4 weeks after surgery, and CMRGlc in the bilateral frontal, parietal and temporal regions were analyzed. At 4 days, the entorhinal lesion induced a 12-15% decrease in CMRGlc of frontal, parietal and temporal regions ipsilateral to the lesion. The hypometabolism continued at 4 weeks in the temporal region. These findings suggest that entorhinal lesion induces cerebral cortical hypometabolism, which implies a pathogenetic role of entorhinal area on the cortical hypometabolism in Alzheimer's disease.
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Affiliation(s)
- T Hayashi
- Department of Neurology, Faculty of Medicine, Kyoto University, Japan
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Hanakawa T, Katsumi Y, Fukuyama H, Honda M, Hayashi T, Kimura J, Shibasaki H. Mechanisms underlying gait disturbance in Parkinson's disease: a single photon emission computed tomography study. Brain 1999; 122 ( Pt 7):1271-82. [PMID: 10388793 DOI: 10.1093/brain/122.7.1271] [Citation(s) in RCA: 202] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Single photon emission computed tomography was used to evaluate regional cerebral blood flow changes during gait on a treadmill in 10 patients with Parkinson's disease and 10 age-matched controls. The subjects were injected with [99mTc]hexamethyl-propyleneamine oxime twice: while walking on the treadmill, which moved at a steady speed, and while lying on a bed with their eyes open. On the treadmill, all subjects walked at the same speed with their preferred stride length. The patients showed typical hypokinetic gait with higher cadence and smaller stride length than the controls. In the controls, a gait-induced increase in brain activity was observed in the medial and lateral premotor areas, primary sensorimotor areas, anterior cingulate contex, superior parietal cortex, visual cortex, dorsal brainstem, basal ganglia and cerebellum. The Parkinson's disease patients revealed relative underactivation in the left medial frontal area, right precuneus and left cerebellar hemisphere, whereas they showed relative overactivity in the left temporal cortex, right insula, left cingulate cortex and cerebellar vermis. This is the first experimental study showing that the dorsal brainstem, which corresponds to the brainstem locomotor region in experimental animals, is active during human bipedal gait. The reduced brain activity in the medial frontal motor areas is a basic abnormality in motor performance in Parkinson's disease. The underactivity in the left cerebellar hemisphere, in contrast to the overactivity in the vermis, could be associated with a loss of lateral gravity shift in parkinsonian gait.
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Affiliation(s)
- T Hanakawa
- Departments of Brain Pathophysiology Neurology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Abstract
Parkinson's disease (PD) patients often show marked improvement of hypokinetic gait when exposed to special stimuli. To investigate physiological mechanisms underlying this "paradoxical gait" induced by visual cues in PD patients, we examined regional cerebral blood flow changes during gait on a treadmill guided by two different visual cues, the lines oriented transversely to the direction of walk (TL) and the lines parallel to it (PL). Ten PD patients and 10 age-matched controls received injections of 99mTc-hexamethylpropyleneamine oxime twice, once during each walking condition. Brain perfusion images were obtained by single-photon emission computed tomography. When affected by TL, PD patients showed marked improvement of gait parameters, mainly reduction of cadence. In regional cerebral blood flow analysis, when TL was compared with PL, both groups had common activation in the posterior parietal cortex and cerebellar hemispheres. Especially in the right lateral premotor cortex, PD patients showed enhanced activation induced by TL to a significantly greater degree than the controls. The present study indicates that the network dedicated to visuomotor control, particularly the lateral premotor cortex, plays an important role in the development of the paradoxical gait induced by special visual stimuli in PD patients.
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Affiliation(s)
- T Hanakawa
- Department of Brain Pathophysiology, Graduate School of Medicine, Kyoto University, Japan
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Yamauchi H, Fukuyama H, Nagahama Y, Katsumi Y, Hayashi T, Okazawa H, Yonekura Y. Selective cerebral hematocrit decrease in the centrum semiovale after carotid artery occlusion: a PET study. J Cereb Blood Flow Metab 1999; 19:109-14. [PMID: 9886361 DOI: 10.1097/00004647-199901000-00012] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
The centrum semiovale may be susceptible to hypoperfusion as a result of carotid artery occlusion. Recent studies suggest that the cerebral hematocrit decreases with diminished cerebral perfusion pressure. To investigate whether the effect of carotid artery occlusion on the hematocrit in the centrum semiovale is different from that in the cerebral cortex, seven patients with unilateral carotid artery occlusion were studied with positron emission tomography. The distributions of the red blood cell and plasma volumes were assessed using carbon monoxide labeled with oxygen 15 and human serum albumin-dithiosemicarbazone tracers labeled with copper 62, respectively. The CBF and CMRO2 were also measured with the (15)O steady-state technique. The calculated values for the hematocrit in the centrum semiovale ipsilateral to the arterial occlusion were significantly decreased compared with those in any of the other regions examined (the overlying cortical region and the contralateral cortex and centrum semiovale). This decrease in hematocrit, which resulted from a more pronounced increase in plasma volume than in red blood cell volume, was associated with a decrease in CBF and an increase in the oxygen extraction fraction. Hemodynamic disturbance caused by carotid artery occlusion may induce selective decrease of hematocrit limited to the centrum semiovale.
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Affiliation(s)
- H Yamauchi
- Department of Neurology, Faculty of Medicine, Kyoto University, Japan
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Yamazaki A, Homma T, Uchiyama S, Katsumi Y, Okumura H. Morphologic limitations of posterior decompression by midsagittal splitting method for myelopathy caused by ossification of the posterior longitudinal ligament in the cervical spine. Spine (Phila Pa 1976) 1999; 24:32-4. [PMID: 9921588 DOI: 10.1097/00007632-199901010-00008] [Citation(s) in RCA: 83] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
STUDY DESIGN This is a retrospective study of the morphologic limitations of posterior decompression for ossification of the posterior longitudinal ligament in the cervical spine. OBJECTIVES To determine the morphologic limitations of the posterior approach in the management of ossification of the posterior longitudinal ligament. SUMMARY OF BACKGROUND DATA Thirty-eight patients who underwent laminoplasty by midsagittal splitting for ossification of the posterior longitudinal ligament were reviewed. Fifteen patients were included in the noncontact group, in which the spinal cord was free of the ossified lesion after posterior decompression. Twenty-three patients were included in the contact group, in which the spinal cord was not free of the ossified lesion even after posterior decompression. METHODS The preoperative sagittal alignment of the cervical spine and preoperative maximal thickness of ossification were compared between the two groups. In addition, the morphologic limitations of posterior decompression for ossification of the posterior longitudinal ligament were investigated. RESULTS The following factors were found to contribute significantly to contact between the spinal cord and ossification of the posterior longitudinal ligament after posterior decompression: 1) lordosis of less than 10 degrees or kyphosis in the preoperative sagittal alignment, and 2) preoperative maximal thickness of ossification of more than 7 mm. CONCLUSIONS Patients who exhibit significant risk factors for continued contact of the spinal cord should be morphologically considered for anterior decompression.
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Affiliation(s)
- A Yamazaki
- Department of Orthopedic Surgery, Niigata University School of Medicine, Japan
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Fukuyama H, Hayashi T, Katsumi Y, Tsukada H, Shibasaki H. Issues in measuring glucose metabolism of rat brain using PET: the effect of harderian glands on the frontal lobe. Neurosci Lett 1998; 255:99-102. [PMID: 9835224 DOI: 10.1016/s0304-3940(98)00718-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
We estimated the effect of the Harderian gland (an orbital gland of land vertebrates) on the measurement of cerebral metabolic rate of glucose (CMRGIc) of the rat brain using positron emission tomography (PET) for animal use. The Harderian gland had the high accumulation of 18-F labeled deoxyglucose (FDG) after intravenous injection. By placing the large regions of interest (ROI) (twice the full width at half maximum in diameter), the CMRGIc in the frontal region was slightly higher compared with the CMRGIc after Harderian gland resection, but the parietal and occipital regions and the cerebellum had the similar level of CMRGIc before and after Harderian gland resection. Therefore the Harderian gland has a slight effect on the frontal lobe CMRGIc, but such overestimation can be within the permissible range for PET study of rat brains.
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Affiliation(s)
- H Fukuyama
- Department of Brain Pathophysiology, Faculty of Medicine, Kyoto University, Japan.
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Nagahama Y, Sadato N, Yamauchi H, Katsumi Y, Hayashi T, Fukuyama H, Kimura J, Shibasaki H, Yonekura Y. Neural activity during attention shifts between object features. Neuroreport 1998; 9:2633-8. [PMID: 9721946 DOI: 10.1097/00001756-199808030-00038] [Citation(s) in RCA: 46] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
To investigate the neural mechanisms involved in shifting attention we used positron emission tomography to examine regional cerebral blood flow (rCBF) during a task that demands shifting attention between color and shape. Significant activation was observed in the right dorsal prefrontal cortex and parieto-occipital cortex at all frequencies of attention shifts. The frequency of shifts between categories correlated significantly with rCBF in the rostral part of the supplementary motor area and the left precuneus, whereas the number of successive correct responses correlated with rCBF in the orbitofrontal cortex and the caudate nucleus. This study suggests that several prefrontal regions may participate in the processes of shifting attention in different ways.
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Affiliation(s)
- Y Nagahama
- Department of Neurology, Faculty of Medicine, Kyoto University, Sakyo, Japan
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Yamauchi H, Fukuyama H, Nagahama Y, Katsumi Y, Dong Y, Hayashi T, Konishi J, Kimura J. Atrophy of the corpus callosum, cortical hypometabolism, and cognitive impairment in corticobasal degeneration. Arch Neurol 1998; 55:609-14. [PMID: 9605717 DOI: 10.1001/archneur.55.5.609] [Citation(s) in RCA: 52] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
OBJECTIVE To investigate whether atrophy of the corpus callosum is associated with cognitive impairment and cerebral cortical hypometabolism in corticobasal degeneration. DESIGN Prospective clinicoradiological correlation with magnetic resonance imaging and positron emission tomography. SETTING A university hospital. PATIENTS Eight right-handed patients with clinically diagnosed corticobasal degeneration (mean+/-SD age, 64+/-8 years). MAIN OUTCOME MEASURES Midsagittal corpus callosum area-skull area ratio (on T1-weighted magnetic resonance images), the sum of the scaled scores of the 6 subtests on the Wechsler Adult Intelligence Scale-Revised (Digit Span, Arithmetic, Picture Arrangement, Object Assembly, Block Design, and Digit Symbol), and cerebral metabolic rate of glucose (measured with positron emission tomography by using fludeoxyglucose F 18 as a tracer). RESULTS Compared with 36 age-matched right-handed control subjects, the patients had significantly decreased callosal area-skull area ratio. The reduction in this ratio was greatest in the middle half of the corpus callosum. The atrophy of the corpus callosum was accompanied by a decreased mean cortical glucose metabolic rate with hemispheric asymmetry and a decrease in the sum of the scaled subtest scores of the Wechsler Adult Intelligence Scale-Revised. CONCLUSIONS Atrophy of the corpus callosum with middle predominance is present in corticobasal degeneration, and this atrophy is associated with cognitive impairment and cerebral cortical hypometabolism with hemispheric asymmetry. Atrophy of the corpus callosum might reflect the severity of the disconnection between cortical regions, and this may be an important factor in the development of cerebral cortical dysfunction in corticobasal degeneration.
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Affiliation(s)
- H Yamauchi
- Department of Neurology, Faculty of Medicine, Kyoto University, Japan
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50
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Nagahama Y, Okada T, Yamauchi H, Katsumi Y, Hayashi T, Sawamoto N, Fukuyama H, Konishi J, Shibasaki H. Functional role of medial and lateral premotor cortex in attention set shift. Neuroimage 1998. [DOI: 10.1016/s1053-8119(18)30909-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
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