Literature DB >> 30630042

Resistance, vulnerability and resilience: A review of the cognitive cerebellum in aging and neurodegenerative diseases.

Katharine J Liang1, Erik S Carlson2.   

Abstract

In the context of neurodegeneration and aging, the cerebellum is an enigma. Genetic markers of cellular aging in cerebellum accumulate more slowly than in the rest of the brain, and it generates unknown factors that may slow or even reverse neurodegenerative pathology in animal models of Alzheimer's Disease (AD). Cerebellum shows increased activity in early AD and Parkinson's disease (PD), suggesting a compensatory function that may mitigate early symptoms of neurodegenerative pathophysiology. Perhaps most notably, different parts of the brain accumulate neuropathological markers of AD in a recognized progression and generally, cerebellum is the last brain region to do so. Taken together, these data suggest that cerebellum may be resistant to certain neurodegenerative mechanisms. On the other hand, in some contexts of accelerated neurodegeneration, such as that seen in chronic traumatic encephalopathy (CTE) following repeated traumatic brain injury (TBI), the cerebellum appears to be one of the most susceptible brain regions to injury and one of the first to exhibit signs of pathology. Cerebellar pathology in neurodegenerative disorders is strongly associated with cognitive dysfunction. In neurodegenerative or neurological disorders associated with cerebellar pathology, such as spinocerebellar ataxia, cerebellar cortical atrophy, and essential tremor, rates of cognitive dysfunction, dementia and neuropsychiatric symptoms increase. When the cerebellum shows AD pathology, such as in familial AD, it is associated with earlier onset and greater severity of disease. These data suggest that when neurodegenerative processes are active in the cerebellum, it may contribute to pathological behavioral outcomes. The cerebellum is well known for comparing internal representations of information with observed outcomes and providing real-time feedback to cortical regions, a critical function that is disturbed in neuropsychiatric disorders such as intellectual disability, schizophrenia, dementia, and autism, and required for cognitive domains such as working memory. While cerebellum has reciprocal connections with non-motor brain regions and likely plays a role in complex, goal-directed behaviors, it has proven difficult to establish what it does mechanistically to modulate these behaviors. Due to this lack of understanding, it's not surprising to see the cerebellum reflexively dismissed or even ignored in basic and translational neuropsychiatric literature. The overarching goals of this review are to answer the following questions from primary literature: When the cerebellum is affected by pathology, is it associated with decreased cognitive function? When it is intact, does it play a compensatory or protective role in maintaining cognitive function? Are there theoretical frameworks for understanding the role of cerebellum in cognition, and perhaps, illnesses characterized by cognitive dysfunction? Understanding the role of the cognitive cerebellum in neurodegenerative diseases has the potential to offer insight into origins of cognitive deficits in other neuropsychiatric disorders, which are often underappreciated, poorly understood, and not often treated. Published by Elsevier Inc.

Entities:  

Keywords:  Aging; Alzheimer's disease; Cerebellum; Cognitive function; Dementia; Dentate nucleus of the cerebellum; Memory systems; Neurodegeneration; Traumatic brain injury

Mesh:

Year:  2019        PMID: 30630042      PMCID: PMC6612482          DOI: 10.1016/j.nlm.2019.01.004

Source DB:  PubMed          Journal:  Neurobiol Learn Mem        ISSN: 1074-7427            Impact factor:   2.877


  276 in total

1.  Connecting the dots of the cerebro-cerebellar role in cognitive function: neuronal pathways for cerebellar modulation of dopamine release in the prefrontal cortex.

Authors:  Tiffany D Rogers; Price E Dickson; Detlef H Heck; Dan Goldowitz; Guy Mittleman; Charles D Blaha
Journal:  Synapse       Date:  2011-06-17       Impact factor: 2.562

Review 2.  Alzheimer's pathogenesis: is there neuron-to-neuron propagation?

Authors:  Heiko Braak; Kelly Del Tredici
Journal:  Acta Neuropathol       Date:  2011-04-24       Impact factor: 17.088

3.  Population-based case-control study of cognitive function in essential tremor.

Authors:  Julián Benito-León; Elan D Louis; Félix Bermejo-Pareja
Journal:  Neurology       Date:  2006-01-10       Impact factor: 9.910

4.  Physical basis of cognitive alterations in Alzheimer's disease: synapse loss is the major correlate of cognitive impairment.

Authors:  R D Terry; E Masliah; D P Salmon; N Butters; R DeTeresa; R Hill; L A Hansen; R Katzman
Journal:  Ann Neurol       Date:  1991-10       Impact factor: 10.422

5.  Cerebellar volume in patients with dementia.

Authors:  Leonardo Baldaçara; João Guilherme Fiorani Borgio; Walter André dos Santos Moraes; Acioly Luiz Tavares Lacerda; Maria Beatriz Marcondes Macedo Montaño; Sérgio Tufik; Rodrigo Affonseca Bressan; Luiz Roberto Ramos; Andrea Parolin Jackowski
Journal:  Braz J Psychiatry       Date:  2011-06       Impact factor: 2.697

6.  Blast exposure in rats with body shielding is characterized primarily by diffuse axonal injury.

Authors:  Robert H Garman; Larry W Jenkins; Robert C Switzer; Richard A Bauman; Lawrence C Tong; Peter V Swauger; Steven A Parks; David V Ritzel; C Edward Dixon; Robert S B Clark; Hülya Bayir; Valerian Kagan; Edwin K Jackson; Patrick M Kochanek
Journal:  J Neurotrauma       Date:  2011-06       Impact factor: 5.269

7.  Default-mode and task-positive network activity in major depressive disorder: implications for adaptive and maladaptive rumination.

Authors:  J Paul Hamilton; Daniella J Furman; Catie Chang; Moriah E Thomason; Emily Dennis; Ian H Gotlib
Journal:  Biol Psychiatry       Date:  2011-04-03       Impact factor: 13.382

8.  Effects of lesions of cerebellar nuclei on conditioned behavioral and hippocampal neuronal responses.

Authors:  G A Clark; D A McCormick; D G Lavond; R F Thompson
Journal:  Brain Res       Date:  1984-01-16       Impact factor: 3.252

9.  Neuroimaging signatures of frontotemporal dementia genetics: C9ORF72, tau, progranulin and sporadics.

Authors:  Jennifer L Whitwell; Stephen D Weigand; Bradley F Boeve; Matthew L Senjem; Jeffrey L Gunter; Mariely DeJesus-Hernandez; Nicola J Rutherford; Matthew Baker; David S Knopman; Zbigniew K Wszolek; Joseph E Parisi; Dennis W Dickson; Ronald C Petersen; Rosa Rademakers; Clifford R Jack; Keith A Josephs
Journal:  Brain       Date:  2012-03       Impact factor: 13.501

10.  Robust Identification of Alzheimer's Disease subtypes based on cortical atrophy patterns.

Authors:  Jong-Yun Park; Han Kyu Na; Sungsoo Kim; Hyunwook Kim; Hee Jin Kim; Sang Won Seo; Duk L Na; Cheol E Han; Joon-Kyung Seong
Journal:  Sci Rep       Date:  2017-03-09       Impact factor: 4.379

View more
  18 in total

1.  Middle aged turn point in parameters of oxidative stress and glucose catabolism in mouse cerebellum during lifespan: minor effects of every-other-day fasting.

Authors:  Maria M Bayliak; Nadia M Mosiichuk; Oksana M Sorochynska; Oksana V Kuzniak; Lesia O Sishchuk; Anastasiia O Hrushchenko; Alina O Semchuk; Taras V Pryimak; Yulia V Vasylyk; Dmytro V Gospodaryov; Kenneth B Storey; Olga Garaschuk; Volodymyr I Lushchak
Journal:  Biogerontology       Date:  2021-03-30       Impact factor: 4.277

Review 2.  Molecular Signatures of the Aging Brain: Finding the Links Between Genes and Phenotypes.

Authors:  Giuseppe Lupo; Silvana Gaetani; Emanuele Cacci; Stefano Biagioni; Rodolfo Negri
Journal:  Neurotherapeutics       Date:  2019-07       Impact factor: 7.620

3.  Time Course of Remote Neuropathology Following Diffuse Traumatic Brain Injury in the Male Rat.

Authors:  Katherine R Giordano; L Matthew Law; Jordan Henderson; Rachel K Rowe; Jonathan Lifshitz
Journal:  Exp Neurobiol       Date:  2022-04-30       Impact factor: 3.800

Review 4.  Don't forget the little brain: A framework for incorporating the cerebellum into the understanding of cognitive aging.

Authors:  Jessica A Bernard
Journal:  Neurosci Biobehav Rev       Date:  2022-03-26       Impact factor: 9.052

Review 5.  Reflections on Cerebellar Neuropathology in Classical Scrapie.

Authors:  Adolfo Toledano-Díaz; María Isabel Álvarez; Jose-Julio Rodríguez; Juan Jose Badiola; Marta Monzón; Adolfo Toledano
Journal:  Biomolecules       Date:  2021-04-28

6.  Brain region-specific disruption of mitochondrial bioenergetics in cynomolgus macaques fed a Western versus a Mediterranean diet.

Authors:  K Allison Amick; Gargi Mahapatra; Jaclyn Bergstrom; Zhengrong Gao; Suzanne Craft; Thomas C Register; Carol A Shively; Anthony J A Molina
Journal:  Am J Physiol Endocrinol Metab       Date:  2021-09-27       Impact factor: 4.310

7.  Identifying Vulnerable Brain Networks in Mouse Models of Genetic Risk Factors for Late Onset Alzheimer's Disease.

Authors:  Alexandra Badea; Wenlin Wu; Jordan Shuff; Michele Wang; Robert J Anderson; Yi Qi; G Allan Johnson; Joan G Wilson; Serge Koudoro; Eleftherios Garyfallidis; Carol A Colton; David B Dunson
Journal:  Front Neuroinform       Date:  2019-12-10       Impact factor: 4.081

8.  Age-Related Changes in Lipidome of Rat Frontal Cortex and Cerebellum Are Partially Reversed by Methionine Restriction Applied in Old Age.

Authors:  Mariona Jové; Rosanna Cabré; Natàlia Mota-Martorell; Meritxell Martin-Garí; Èlia Obis; Paula Ramos; Iván Canales; José Daniel Galo-Licona; Joaquim Sol; Lara Nogueras; Pascual Torres; Manuel Portero-Otín; Victòria Ayala; Isidro Ferrer; Reinald Pamplona
Journal:  Int J Mol Sci       Date:  2021-11-20       Impact factor: 5.923

9.  Heterozygous STUB1 missense variants cause ataxia, cognitive decline, and STUB1 mislocalization.

Authors:  Dong-Hui Chen; Caitlin Latimer; Mayumi Yagi; Mesaki Kenneth Ndugga-Kabuye; Elyana Heigham; Suman Jayadev; James S Meabon; Christopher M Gomez; C Dirk Keene; David G Cook; Wendy H Raskind; Thomas D Bird
Journal:  Neurol Genet       Date:  2020-02-10

10.  Resting-State Functional Connectivity of the Ageing Female Brain-Differences Between Young and Elderly Female Adults on Multislice Short TR rs-fMRI.

Authors:  Przemysław Podgórski; Marta Waliszewska-Prosół; Anna Zimny; Marek Sąsiadek; Joanna Bladowska
Journal:  Front Neurol       Date:  2021-07-12       Impact factor: 4.003

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.