# AGING MEMORY

> **NIH NIH R01** · HARVARD UNIVERSITY · 1991 · $180,484

## Abstract

Memory complaints are extremely common even in the healthy aged. The
research proposed herein focusses on age-related deficits in long-term,
episodic memory: and the encoding, storage, and retrieval mechanisms
responsible for them employing concepts and methods developed in the
cognitive neuropsychology of amnesia. Theoretical considerations suggest
that many age-related memory deficits reflect difficulties in the
encoding, or retrieval, of contextual features of events. A total of 18
experiments representing three parallel tracks consisting of six studies
each, explore the effects of age on explicit memory for contextual
information, implicit memory for contextual information, and the second-
order adults depend on the way in which context is assessed? (2) Will the
same pattern of results be observed for all problems with one type of
results be observed for all types of contextual information or will order
adults have special problems with one type of context? (3) Does access to
contextual information in older adults depend on the nature of the
encoding conditions? (4) Can older adults derive practical benefits from
studying information in multiple contexts? The research will provide a
better theoretical understanding of memory, and may suggest ways in which
age-related memory deficits can be ameliorated.

## Key facts

- **NIH application ID:** 3120057
- **Project number:** 7R01AG008441-03
- **Recipient organization:** HARVARD UNIVERSITY
- **SAM.gov UEI:** LN53LCFJFL45
- **Principal Investigator:** Daniel L Schacter
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 1991
- **Award amount:** $180,484
- **Award type:** 7
- **Project period:** 1989-08-04 → 1994-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/3120057

## Citation

> US National Institutes of Health, RePORTER application 3120057, AGING MEMORY (7R01AG008441-03). Retrieved via MORVS 2026-10-25 from https://api.morvs.ai/grant/nih/3120057. Licensed CC0.

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