Relationship between hippocampal volume and memory ability in healthy individuals across the lifespan: review and meta-analysis.
By Cyma K Van Petten. Neuropsychologia, 2004
626 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Psychiatry and Mental health
View Paper: https://www.semanticscholar.org/paper/9f4dc34818fb43043acba351c8444e239f235bea
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Feiping Nie
- J. Richard Jennings
- Chris H. Q. Ding
- Heng Huang
- Peter J. Gianaros
- Sonia J. Lupien
- Lei K. Sheu
- Hua Wang
In Psychiatry and Mental health
Citations in the corpus
- Differential aging of the brain: patterns, cognitive correlates and modifiers. (2006, neutral): “, 2002 ; Van Petten et al .”
- Prospective reports of chronic life stress predict decreased grey matter volume in the hippocampus (2007, background): “…hippocampal volume are observed in major depressive disorder (O’Brien et al., 2004) and in post-traumatic stress disorder (Bremner et al., 1995), although the mechanisms explaining these unilateral findings are unknown (Campbell et al., 2004; Kitayama et al., 2005; Smith, 2005; Van Petten, 2004).”
- Insulin resistance: Genetic associations with depression and cognition in population based cohorts (2019, neutral): “However, as the hippocampus is enriched in insulin receptors (Dore et al., 1997; Wozniak et al., 1993) and is sensitive to INSR and depression (Singh et al., 2018) our cognitive battery could have benefited from additional tests targeting hippocampus-linked episodic memory (van Petten, 2004).”
- The effects of stress and stress hormones on human cognition: Implications for the field of brain and cognition. (2007, methodology): “The meta-analysis by van Petten (2004) also revealed that between the ages of 4 and 18, the volume of the hippocampus shows little absolute change while whole brain volume increases until the age of 15.”
- Sparse Multi-Task Regression and Feature Selection to Identify Brain Imaging Predictors for Memory Performance (2011, result): “This perfectly accords with many evidences in existing literatures [3, 4, 7, 8, 16, 21].”