Cited by 122Advanced Neuroimaging Techniques and ApplicationsDementia and Cognitive Impairment ResearchMemory and Neural Mechanisms

Fornix as an imaging marker for episodic memory deficits in healthy aging and in various neurological disorders

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Douet, Vanessa, Chang, Linda·2015·Frontiers in Aging Neuroscience

Abstract

The fornix is a part of the limbic system and constitutes the major efferent and afferent white matter tracts from the hippocampi. The underdevelopment of or injuries to the fornix are strongly associated with memory deficits. Its role in memory impairments was suggested long ago with cases of surgical forniceal transections. However, recent advances in brain imaging techniques, such as diffusion tensor imaging, have revealed that macrostructural and microstructural abnormalities of the fornix correlated highly with declarative and episodic memory performance. This structure appears to provide a robust and early imaging predictor for memory deficits not only in neurodegenerative and neuroinflammatory diseases, such as Alzheimer's disease and multiple sclerosis, but also in schizophrenia and psychiatric disorders, and during neurodevelopment and "typical" aging. The objective of the manuscript is to present a systematic review regarding published brain imaging research on the fornix, including the development of its tracts, its role in various neurological diseases, and its relationship to neurocognitive performance in human studies.

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Crossref · 10.3389/fnagi.2014.00343

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  • Compared with other limbic white matter pathways, correlations between white matter microstructure and episodic memory in healthy populations are much more reliably found for the fornix than the cingulum.

    “Compared with other limbic white matter pathways, correlations between white matter microstructure and episodic memory in healthy populations are much more reliably found for the fornix than the cingulum (e.g., Douet and Chang, 2015; Metzler-Baddeley et al., 2011; Rudebeck et al., 2009).”

    From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Douet and Chang, 2015

    The Introduction describes the fornix as a robust predictor of episodic memory performance, and “Normal development and aging of the fornix” reports correlations in healthy children and adults. Neither section establishes that these correlations are more reliably found for the fornix than for the cingulum. The indexed passages provide no page numbers. (LLM, conf=0.86)

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Research works printed but not linked: 1

  1. Nolte J. (2009). The Human Brain: An Introduction Ot Its Functional Anatomy. Philadelphia, PA: Mosby Elsevier.

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Authors
Douet, V., & Chang, L.
Affiliations
University of Hawaiʻi at Mānoa (US)
Corresponding author
  • Douet, Vanessa
  • Chang, Linda
Venue
Frontiers in Aging Neuroscience
Published
2015-01-14
Volume
6
Pages
343-343
ISSN
1663-4365 (ISSN-L)
OpenAlex
W2070157918
Cited by
122
References
145
Citations by year
2026: 6 · 2025: 8 · 2024: 10 · 2023: 21 · 2022: 11 · 2021: 14 · 2020: 17 · 2019: 12 · 2018: 11 · 2017: 6 · 2016: 5 · 2015: 1
FWCI
1.22
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Aging Neuroscience (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Institutes of Health (MD007601)
  • National Institute on Drug Abuse (K24DA016170)
  • National Institute on Minority Health and Health Disparities (G12MD007601)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords
fornix, episodic memory, memory impairment, healthy aging, Alzheimer's disease, multiple sclerosis, schizophrenia, neuroinflammation, neurodegeneration, diffusion tensor imaging, white matter microstructure, hippocampal connectivity, limbic system, brain development, imaging biomarkers

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