Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Neuronal excitation/inhibition imbalance: core element of a translational perspective on Alzheimer pathophysiology.
  • Publication Type:
    Journal article
  • Publication Sub Type:
  • Authors:
    Maestú F, de Haan W, Busche MA, DeFelipe J
  • Publisher:
    Elsevier Masson
  • Publication date:
  • Pagination:
  • Journal:
    Ageing Research Reviews
  • Volume:
  • Status:
    Published online
  • Country:
  • Print ISSN:
  • PII:
  • Language:
  • Keywords:
    Alzheimer’s disease, Amyloid protein, Animal models, Computational neuroscience, Excitation/inhibition imbalance, Functional networks, Hyperexcitability, Hypersynchronization, Macro scale, Meso scale, Microscale, Tau protein
Our incomplete understanding of the link between Alzheimer's Disease pathology and symptomatology is a crucial obstacle for therapeutic success. Recently, translational studies have begun to connect the dots between protein alterations and deposition, brain network dysfunction and cognitive deficits. Disturbance of neuronal activity, and in particular an imbalance in underlying excitation/inhibition (E/I), appears early in AD, and can be regarded as forming a central link between structural brain pathology and cognitive dysfunction. While there are emerging (non-)pharmacological options to influence this imbalance, the complexity of human brain dynamics has hindered identification of an optimal approach. We suggest that focusing on the integration of neurophysiological aspects of AD at the micro-, meso- and macroscale, with the support of computational network modeling, can unite fundamental and clinical knowledge, provide a general framework, and suggest rational therapeutic targets.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
UK Dementia Research Institute
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by