Evidence map›Paper›PMID 37767219›Full record

ArticleBrain communications2023

Aging and Alzheimer's disease have dissociable effects on local and regional medial temporal lobe connectivity.

Stanislau Hrybouski, Sandhitsu R Das, Long Xie, Laura E M Wisse, Melissa Kelley, Jacqueline Lane, Monica Sherin, Michael DiCalogero, Ilya Nasrallah, John Detre and 2 more

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
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

23 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Stanislau HrybouskiPenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, PA 19104, USA.
Sandhitsu R DasPenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, PA 19104, USA.
Long XiePenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, PA 19104, USA.
Laura E M WissePenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, PA 19104, USA.
Melissa KelleyPenn Memory Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
Jacqueline LanePenn Memory Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
Monica SherinPenn Memory Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
Michael DiCalogeroPenn Memory Center, University of Pennsylvania, Philadelphia, PA 19104, USA.
Ilya NasrallahDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
John DetreDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Paul A YushkevichPenn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID https://orcid.org/0000-0001-8543-4016
David A WolkDepartment of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Penn Center for AIDS Research · USAlzheimer’s Disease Neuroimaging Initiative · USLund University · SEUniversity of Pennsylvania · US

Funding

Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVID A WOLK · 2021 to 2026
$24.8M
Ex Vivo Imaging of the Aging Brain to Discover Morphology/Pathology AssociationsR01AG056014 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Paul A. Yushkevich · 2017 to 2026
$4.5M
Characterization of relationship between tau pathology and neurodegeneration in Alzheimer's disease using multimodal imagingR01AG072796 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Sandhitsu Das, DAVID A WOLK · 2022 to 2026
$4.0M
A harmonized medial temporal lobe subregion segmentation protocol: an essential element for dementia researchR01AG070592 · NIA · WAYNE STATE UNIVERSITY · PI Ana Marie Daugherty, Rosanna Kathleen Olsen · 2022 to 2026
$3.5M
Ex Vivo Imaging of the Aging Brain to Discover Morphology/Pathology AssociationsRF1AG056014 · NIA · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2023 to 2023
$2.1M
Improving the sensitivity and specificity of MRI-based biomarkers in Alzheimer's diseaseR01AG069474 · NIA · UNIVERSITY OF PENNSYLVANIA · PI WOLK, DAVID A, YUSHKEVICH, PAUL A. · 2024 to 2025
$1.4M
NIA NIH HHS P30 AG072979NIA NIH HHS R01 AG056014NIA NIH HHS R01 AG069474NIA NIH HHS R01 AG070592NIA NIH HHS R01 AG072796NIA NIH HHS RF1 AG056014
6 · The paper itself

Abstract

Functional disruption of the medial temporal lobe-dependent networks is thought to underlie episodic memory deficits in aging and Alzheimer's disease. Previous studies revealed that the anterior medial temporal lobe is more vulnerable to pathological and neurodegenerative processes in Alzheimer's disease. In contrast, cognitive and structural imaging literature indicates posterior, as opposed to anterior, medial temporal lobe vulnerability in normal aging. However, the extent to which Alzheimer's and aging-related pathological processes relate to functional disruption of the medial temporal lobe-dependent brain networks is poorly understood. To address this knowledge gap, we examined functional connectivity alterations in the medial temporal lobe and its immediate functional neighbourhood-the Anterior-Temporal and Posterior-Medial brain networks-in normal agers, individuals with preclinical Alzheimer's disease and patients with Mild Cognitive Impairment or mild dementia due to Alzheimer's disease. In the Anterior-Temporal network and in the perirhinal cortex, in particular, we observed an inverted 'U-shaped' relationship between functional connectivity and Alzheimer's stage. According to our results, the preclinical phase of Alzheimer's disease is characterized by increased functional connectivity between the perirhinal cortex and other regions of the medial temporal lobe, as well as between the anterior medial temporal lobe and its one-hop neighbours in the Anterior-Temporal system. This effect is no longer present in symptomatic Alzheimer's disease. Instead, patients with symptomatic Alzheimer's disease displayed reduced hippocampal connectivity within the medial temporal lobe as well as hypoconnectivity within the Posterior-Medial system. For normal aging, our results led to three main conclusions: (i) intra-network connectivity of both the Anterior-Temporal and Posterior-Medial networks declines with age; (ii) the anterior and posterior segments of the medial temporal lobe become increasingly decoupled from each other with advancing age; and (iii) the posterior subregions of the medial temporal lobe, especially the parahippocampal cortex, are more vulnerable to age-associated loss of function than their anterior counterparts. Together, the current results highlight evolving medial temporal lobe dysfunction in Alzheimer's disease and indicate different neurobiological mechanisms of the medial temporal lobe network disruption in aging versus Alzheimer's disease.

Indexed as

agingAlzheimer’s diseaseAT networkmedial temporal lobe connectivityPM network

Identifiers

PMID37767219
PMCPMC10521906
OpenAlexW4386732106

What OpenQuestion holds

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LicenceCC BY
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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.