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Consensus Paper: Cerebellum and Ageing.
Arleo, Angelo; Bares, Martin; Bernard, Jessica A; Bogoian, Hannah R; Bruchhage, Muriel M K; Bryant, Patrick; Carlson, Erik S; Chan, Chetwyn C H; Chen, Liang-Kung; Chung, Chih-Ping; Dotson, Vonetta M; Filip, Pavel; Guell, Xavier; Habas, Christophe; Jacobs, Heidi I L; Kakei, Shinji; Lee, Tatia M C; Leggio, Maria; Misiura, Maria; Mitoma, Hiroshi; Olivito, Giusy; Ramanoël, Stephen; Rezaee, Zeynab; Samstag, Colby L; Schmahmann, Jeremy D; Sekiyama, Kaoru; Wong, Clive H Y; Yamashita, Masatoshi; Manto, Mario.
Afiliação
  • Arleo A; Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France.
  • Bares M; First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's Teaching Hospital, Brno, Czech Republic.
  • Bernard JA; Department of Neurology, School of Medicine, University of Minnesota, Minneapolis, USA.
  • Bogoian HR; Department of Psychological and Brain Sciences, Texas A&M University, 4235 TAMU, College Station, TX, 77843, USA.
  • Bruchhage MMK; Texas A&M Institute for Neuroscience, Texas A&M University, College Station, TX, USA.
  • Bryant P; Department of Psychology, Georgia State University, Atlanta, GA, USA.
  • Carlson ES; Department of Psychology, Stavanger University, Institute of Social Sciences, Kjell Arholms Gate 41, 4021, Stavanger, Norway.
  • Chan CCH; King's College London, Institute of Psychiatry, Psychology and Neuroscience, Centre for Neuroimaging Sciences, Box 89, De Crespigny Park, London, PO, SE5 8AF, UK.
  • Chen LK; Rhode Island Hospital, Department for Diagnostic Imaging, 1 Hoppin St, Providence, RI, 02903, USA.
  • Chung CP; Department of Paediatrics, Warren Alpert Medical School of Brown University, 222 Richmond St, Providence, RI, 02903, USA.
  • Dotson VM; Freie Universität Berlin, Fachbereich Mathematik und Informatik, Arnimallee 12, 14195, Berlin, Germany.
  • Filip P; Department of Psychiatry and Behavioural Sciences, University of Washington, Seattle, WA, USA.
  • Guell X; Geriatric Research, Education and Clinical Center, Veteran's Affairs Medical Center, Puget Sound, Seattle, WA, USA.
  • Habas C; Department of Psychology, The Education University of Hong Kong, New Territories, Tai Po, Hong Kong, China.
  • Jacobs HIL; Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan.
  • Kakei S; Center for Geriatric and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Lee TMC; Taipei Municipal Gan-Dau Hospital (managed by Taipei Veterans General Hospital), Taipei, Taiwan.
  • Leggio M; Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan.
  • Misiura M; Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Mitoma H; Department of Psychology, Georgia State University, Atlanta, GA, USA.
  • Olivito G; Gerontology Institute, Georgia State University, Atlanta, GA, USA.
  • Ramanoël S; Department of Neurology, Charles University, First Faculty of Medicine and General University Hospital, Prague, Czech Republic.
  • Rezaee Z; Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, USA.
  • Samstag CL; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Schmahmann JD; Laboratory for Neuroanatomy and Cerebellar Neurobiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Sekiyama K; CHNO Des Quinze-Vingts, INSERM-DGOS CIC 1423, 28 rue de Charenton, 75012, Paris, France.
  • Wong CHY; Université Versailles St Quentin en Yvelines, Paris, France.
  • Yamashita M; School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, PO BOX 616, 6200, MD, Maastricht, The Netherlands.
  • Manto M; Faculty of Psychology and Neuroscience, Department of Cognitive Neuroscience, Maastricht University, PO BOX 616, 6200, MD, Maastricht, The Netherlands.
Cerebellum ; 23(2): 802-832, 2024 Apr.
Article em En | MEDLINE | ID: mdl-37428408
Given the key roles of the cerebellum in motor, cognitive, and affective operations and given the decline of brain functions with aging, cerebellar circuitry is attracting the attention of the scientific community. The cerebellum plays a key role in timing aspects of both motor and cognitive operations, including for complex tasks such as spatial navigation. Anatomically, the cerebellum is connected with the basal ganglia via disynaptic loops, and it receives inputs from nearly every region in the cerebral cortex. The current leading hypothesis is that the cerebellum builds internal models and facilitates automatic behaviors through multiple interactions with the cerebral cortex, basal ganglia and spinal cord. The cerebellum undergoes structural and functional changes with aging, being involved in mobility frailty and related cognitive impairment as observed in the physio-cognitive decline syndrome (PCDS) affecting older, functionally-preserved adults who show slowness and/or weakness. Reductions in cerebellar volume accompany aging and are at least correlated with cognitive decline. There is a strongly negative correlation between cerebellar volume and age in cross-sectional studies, often mirrored by a reduced performance in motor tasks. Still, predictive motor timing scores remain stable over various age groups despite marked cerebellar atrophy. The cerebello-frontal network could play a significant role in processing speed and impaired cerebellar function due to aging might be compensated by increasing frontal activity to optimize processing speed in the elderly. For cognitive operations, decreased functional connectivity of the default mode network (DMN) is correlated with lower performances. Neuroimaging studies highlight that the cerebellum might be involved in the cognitive decline occurring in Alzheimer's disease (AD), independently of contributions of the cerebral cortex. Grey matter volume loss in AD is distinct from that seen in normal aging, occurring initially in cerebellar posterior lobe regions, and is associated with neuronal, synaptic and beta-amyloid neuropathology. Regarding depression, structural imaging studies have identified a relationship between depressive symptoms and cerebellar gray matter volume. In particular, major depressive disorder (MDD) and higher depressive symptom burden are associated with smaller gray matter volumes in the total cerebellum as well as the posterior cerebellum, vermis, and posterior Crus I. From the genetic/epigenetic standpoint, prominent DNA methylation changes in the cerebellum with aging are both in the form of hypo- and hyper-methylation, and the presumably increased/decreased expression of certain genes might impact on motor coordination. Training influences motor skills and lifelong practice might contribute to structural maintenance of the cerebellum in old age, reducing loss of grey matter volume and therefore contributing to the maintenance of cerebellar reserve. Non-invasive cerebellar stimulation techniques are increasingly being applied to enhance cerebellar functions related to motor, cognitive, and affective operations. They might enhance cerebellar reserve in the elderly. In conclusion, macroscopic and microscopic changes occur in the cerebellum during the lifespan, with changes in structural and functional connectivity with both the cerebral cortex and basal ganglia. With the aging of the population and the impact of aging on quality of life, the panel of experts considers that there is a huge need to clarify how the effects of aging on the cerebellar circuitry modify specific motor, cognitive, and affective operations both in normal subjects and in brain disorders such as AD or MDD, with the goal of preventing symptoms or improving the motor, cognitive, and affective symptoms.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article