Evidence map›Paper›PMID 40442306›Full record

ArticleSleep2025

Individual differences in medial temporal lobe functional network architecture predict the capacity for sleep-related consolidation of emotional memories in older adults.

Miranda G Chappel-Farley, Jenna N Adams, Richard F Betzel, Negin S Sattari, Destiny E Berisha, Novelle J Meza, John T Janecek, Hamid Niknazar, Soyun Kim, Abhishek Dave and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Miranda G Chappel-FarleyDepartment of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA.
Jenna N AdamsDepartment of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA.ORCID 0000-0002-6702-3851
Richard F BetzelDepartment of Psychological and Brain Sciences, University of Indiana Bloomington, Bloomington, IN, USA.
Negin S SattariDepartment of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA.
Destiny E BerishaDepartment of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA.ORCID 0000-0002-9554-9666
Novelle J MezaDepartment of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA.
John T JanecekDepartment of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA.
Hamid NiknazarDepartment of Cognitive Sciences, University of California Irvine, Irvine, CA, USA.
Soyun KimDepartment of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA.
Abhishek DaveDepartment of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA.ORCID 0000-0002-6186-027X
Ivy Y ChenDepartment of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA.ORCID 0000-0002-6739-3211
Kitty K LuiJoint Doctoral Program in Clinical Psychology, San Diego State University/University of California San Diego, San Diego, CA, USA.
Ariel B NeikrugDepartment of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA.
Ruth M BencaDepartment of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA.
Michael A YassaDepartment of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA.ORCID 0000-0002-8635-1498
Bryce A ManderCenter for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, CA, USA.

Funding

Neuroimaging biomarkers for cognitive decline in elderly with amyloid pathologyR01AG053555 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Michael A Yassa · 2017 to 2026
$17.0M
Training Program in Learning and MemoryT32MH119049 · NIMH · UNIVERSITY OF CALIFORNIA-IRVINE · PI BRUCE L MCNAUGHTON, Manuella Yassa · 2019 to 2026
$1.4M
Relationships between local and global mechanisms of sleep apnea, Alzheimer's disease biomarkers, and memory impairment in cognitively asymptomatic older adultsK01AG068353 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI MANDER, BRYCE A. · 2020 to 2024
$636k
Circuit-specific tau burden and mechanisms of sleep-dependent memory processing in older adults at risk for Alzheimer’s diseaseR21AG079552 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI MANDER, BRYCE A., YASSA, MICHAEL A · 2022 to 2022
$432k
Effect of hippocampal tau pathology on CA1 function and memory processing in agingF32AG074621 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI ADAMS, JENNA NICOLE · 2021 to 2023
$202k
Neurobiological mechanisms of sleep and exercise effects on memory in older adults at risk for Alzheimer's diseaseF31AG074703 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI CHAPPEL-FARLEY, MIRANDA · 2021 to 2023
$111k
Cerebrovascular and neurophysiological mechanisms of sleep-dependent memory impairment in older adults at risk for Alzheimer's diseaseF31AG084308 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI BERISHA, DESTINY · 2024 to 2025
$82k
NIA NIH HHS F31 AG074703NIA NIH HHS F31AG074703NIA NIH HHS F31 AG084308NIA NIH HHS F32 AG074621NIA NIH HHS F32AG074621NIA NIH HHS K01AG058353NIA NIH HHS K01 AG068353NIA NIH HHS R01 AG053555NIA NIH HHS R01AG053555NIA NIH HHS R21AG07955NIA NIH HHS R21 AG079552NIMH NIH HHS T32 MH119049
6 · The paper itself

Abstract

STUDY

objectivesMemory consolidation during non-rapid eye movement slow wave sleep (NREM SWS) involves reactivation of a hippocampal index which integrates distributed cortical representations of an experience. This study examined whether individual differences in brain network properties that align with this theoretical organization were associated with interindividual variability in memory consolidation during sleep.

methodsThirty-six older adults (μage = 72.9 ± 5.6) completed overnight polysomnography with pre- and post-sleep emotional memory testing. Slow oscillation (SO) power and SO-sleep spindle (SO-SP) coupling were computed. Participants also completed 3T structural and resting-state functional magnetic resonance imaging (rsfMRI). Resting-state fMRI network modularity (Q), hippocampal and amygdala eigenvector centrality (EC), and betweenness centrality (BC) were calculated.

resultsGreater Q was associated with reduced emotional memory retention and greater SWS. Hippocampal and amygdala EC were associated with better emotional memory retention. Hippocampal BC was associated with immediate test performance, whereas amygdala BC was associated with delayed test and memory retention. Hippocampal centrality measures were associated with SO power and SO-SP coupling. Random forest classification revealed distinct network measure combinations predict different stages of memory processing.

conclusionsNetwork integration supports overnight emotional memory retention. Individuals with more influential medial temporal lobe nodes exhibited better memory consolidation, suggesting functional network architecture contributes to memory processing. These measures were associated with sleep oscillations implicated in consolidation. Individual differences in functional network organization may predict the capacity of older adults to consolidate memories.

Indexed as

EmotionsIndividualityMemory ConsolidationNerve NetSleepTemporal LobeAgedAmygdalaFemaleHippocampusHumansMagnetic Resonance ImagingMalePolysomnographyconsolidationgraph theorymemorynetworksresting-statesleep

Identifiers

PMID40442306
PMCPMC12417020

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.