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Cited by 508

The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.

Neurogenesis and generalization: a new approach to stratify and treat anxiety disorders

Open access
Kheirbek, Mazen A, Klemenhagen, Kristen C, Sahay, Amar, Hen, René·2012·Nature Neuroscience

Abstract

Although an influence of adult neurogenesis in mediating some of the effects of antidepressants has received considerable attention in recent years, much less is known about how alterations in this form of plasticity may contribute to psychiatric disorders such as anxiety and depression. One way to begin to address this question is to link the functions of adult-born hippocampal neurons with specific endophenotypes of these disorders. Recent studies have implicated adult-born hippocampal neurons in pattern separation, a process by which similar experiences or events are transformed into discrete, non-overlapping representations. Here we propose that impaired pattern separation underlies the overgeneralization often seen in anxiety disorders, specifically post-traumatic stress disorder and panic disorder, and therefore represents an endophenotype for these disorders. The development of new, pro-neurogenic compounds may therefore have therapeutic potential for patients who display pattern separation deficits.

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Metadata

Authors
Kheirbek, M. A., Klemenhagen, K. C., Sahay, A., & Hen, R.
Venue
Nature Neuroscience
Published
2012-11-27
Volume
15
Issue
12
Pages
1613-1620
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W2087082832
Cited by
508
References
98
FWCI
15.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Neurogenesis and generalization: a new approach to stratify and treat anxiety disorders. https://app.cochat.ai/papers/10.1038/nn.3262
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Kheirbek, M. A., Klemenhagen, K. C., Sahay, A., & Hen, R. (2012). Neurogenesis and generalization: a new approach to stratify and treat anxiety disorders. Nature Neuroscience. https://doi.org/10.1038/nn.3262

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.