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Cited by 128Functional Brain Connectivity StudiesAlzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Neuronal network disintegration: common pathways linking neurodegenerative diseases

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Ahmed, Rebekah M, Devenney, Emma M, Irish, Muireann, Ittner, Arne, Naismith, Sharon, Ittner, Lars M, Rohrer, Jonathan D, Halliday, Glenda M +3 more·2016·Journal of Neurology, Neurosurgery & Psychiatry
DOI 10.1136/jnnp-2014-308350PMC PMC5099318
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Abstract

Neurodegeneration refers to a heterogeneous group of brain disorders that progressively evolve. It has been increasingly appreciated that many neurodegenerative conditions overlap at multiple levels and therefore traditional clinicopathological correlation approaches to better classify a disease have met with limited success. Neuronal network disintegration is fundamental to neurodegeneration, and concepts based around such a concept may better explain the overlap between their clinical and pathological phenotypes. In this Review, promoters of overlap in neurodegeneration incorporating behavioural, cognitive, metabolic, motor, and extrapyramidal presentations will be critically appraised. In addition, evidence that may support the existence of large-scale networks that might be contributing to phenotypic differentiation will be considered across a neurodegenerative spectrum. Disintegration of neuronal networks through different pathological processes, such as prion-like spread, may provide a better paradigm of disease and thereby facilitate the identification of novel therapies for neurodegeneration.

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  • Neurological diseases share symptomatic and molecular changes including memory loss and protein aggregation in various dementia types and genetic overlap and comorbidity across psychiatric disorders.

    “Neurological diseases share symptomatic and molecular changes including memory loss and protein aggregation in various dementia types (17) and genetic overlap and comorbidity across psychiatric disorders (18).”

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Authors
Ahmed, R. M., Devenney, E. M., Irish, M., Ittner, A., Naismith, S., Ittner, L. M., Rohrer, J. D., Halliday, G. M., Eisen, A., Hodges, J. R., & Kiernan, M. C.
Affiliations
  • The University of Sydney (AU)
  • UNSW Sydney (AU)
  • National Hospital for Neurology and Neurosurgery (GB)
  • Neuroscience Research Australia (AU)
  • University of British Columbia (CA)
Corresponding author
Ahmed, Rebekah M
ORCID
Venue
Journal of Neurology, Neurosurgery & Psychiatry
Publisher
BMJ
Published
2016-05-12
Volume
87
Issue
11
Pages
1234-1241
ISSN
  • 0022-3050 (ISSN-L)
  • 1468-330X
DOI
10.1136/jnnp-2014-308350
PMC
PMC5099318
OpenAlex
W2366611116
Cited by
128
References
15
Citations by year
2026: 8 · 2025: 11 · 2024: 7 · 2023: 5 · 2022: 19 · 2021: 14 · 2020: 15 · 2019: 11 · 2018: 20 · 2017: 14 · 2016: 4
FWCI
1.73
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Journal of Neurology Neurosurgery & Psychiatry (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • HighWire Press Open Archive (submittedVersion)
Funders
  • Motor Neurone Disease Research Australia
  • Centre of Excellence in Cognition and its Disorders, Australian Research Council (DE130100463, CE110001021, 1037746)
  • Medical Research Council
  • Australian Research Council (DE130100463, CE 110001021, 1037746, 1079679)
  • National Health and Medical Research Council (1003083, 1003139, 1079679, 1037746)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
Keywords
neurodegeneration, prion-like spread, large-scale brain networks, phenotypic heterogeneity, clinicopathological correlation, disease classification, therapeutic target
MeSH terms
Brain, Humans, Nerve Net, Phenotype, Neurodegenerative Diseases

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