Evidence map›Paper›PMID 36061297›Full record

ArticleFrontiers in psychiatry2022

Associations of digital neuro-signatures with molecular and neuroimaging measures of brain resilience: The altoida large cohort study.

Azizi A Seixas, Farid Rajabli, Margaret A Pericak-Vance, Girardin Jean-Louis, Robbert L Harms, Ioannis Tarnanas

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Azizi A SeixasDepartment of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.
Farid RajabliJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, United States.
Margaret A Pericak-VanceJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, United States.
Girardin Jean-LouisDepartment of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.
Robbert L HarmsAltoida Inc., Washington, DC, United States.
Ioannis TarnanasAltoida Inc., Washington, DC, United States.

Funding

USC Resource Center for Minority Aging Research (US-RCMAR)P30AG043073 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EMMA AGUILA, JENNIFER A AILSHIRE · 2012 to 2026
$10.1M
Promoting Academic Workforce Development in Behavioral Medicine and Sleep Disorders ResearchR25HL105444 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Girardin Jean-Louis, Tatjana Rundek · 2010 to 2026
$5.8M
Determinants of insufficient sleep among blacks and effects on disparities in health outcomesR01HL142066 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI JEAN-LOUIS, GIRARDIN · 2019 to 2023
$4.7M
Chronic Moderate Sleep Restriction in Older Long and Older Average SleepersR01HL095799 · NHLBI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI IRWIN, MICHAEL R, JEAN-LOUIS, GIRARDIN · 2011 to 2015
$3.8M
DORMIR: Determinants, Outcomes, Responses and Markers of Insufficient sleep in Rural-Urban settingsR01HL152453 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SEIXAS, AZIZI · 2020 to 2024
$3.7M
Personalized OSA treatment and effects on AD biomarkers and cognition among blacksR01AG075007 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Girardin Jean-Louis, Azizi Seixas · 2022 to 2026
$3.0M
Promoting Adherence to Sleep Apnea Treatment among Blacks with Metabolic SyndromeR01MD004113 · NIMHD · SUNY DOWNSTATE MEDICAL CENTER · PI JEAN-LOUIS, GIRARDIN · 2009 to 2012
$1.7M
The effect of insufficient sleep on cardiovascular disease disparity between blacks and whitesK01HL135452 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SEIXAS, AZIZI · 2017 to 2020
$719k
NHLBI NIH HHS K01 HL135452NHLBI NIH HHS R01 HL095799NHLBI NIH HHS R01 HL142066NHLBI NIH HHS R01 HL152453NHLBI NIH HHS R25 HL105444NIA NIH HHS P30 AG043073NIA NIH HHS R01 AG075007NIMHD NIH HHS R01 MD004113
6 · The paper itself

Abstract

Background: Mixed results in the predictive ability of traditional biomarkers to determine cognitive functioning and changes in older adults have led to misdiagnosis and inappropriate treatment plans to address mild cognitive impairment and dementia among older adults. To address this critical gap, the primary goal of the current study is to investigate whether a digital neuro signature (DNS-br) biomarker predicted global cognitive functioning and change over time relative among cognitively impaired and cognitive healthy older adults. The secondary goal is to compare the effect size of the DNS-br biomarker on global cognitive functioning compared to traditional imaging and genomic biomarkers. The tertiary goal is to investigate which demographic and clinical factors predicted DNS-br in cognitively impaired and cognitively healthy older adults. Methods: We conducted two experiments (Study A and Study B) to assess DNS for brain resilience (DNS-br) against the established FDG-PET brain imaging signature for brain resilience, based on a 10 min digital cognitive assessment tool. Study A was a semi-naturalistic observational study that included 29 participants, age 65+, with mild to moderate mild cognitive impairment and AD diagnosis. Study B was also a semi-naturalistic observational multicenter study which included 496 participants (213 mild cognitive impairment (MCI) and 283 cognitively healthy controls (HC), a total of 525 participants-cognitively healthy ( Results: DNS-br total score and majority of the 11 DNS-br neurocognitive subdomain scores were significantly associated with FDG-PET resilience signature, PIB ratio, cerebral gray matter and white matter volume after adjusting for multiple testing. DNS-br total score predicts cognitive impairment for the 80+ individuals in the Altoida large cohort study. We identified a significant interaction between the DNS-br total score and time, indicating that participants with higher DNS-br total score or FDG-PET in the resilience signature would show less cognitive decline over time. Conclusion: Our findings highlight that a digital biomarker predicted cognitive functioning and change, which established biomarkers are unable to reliably do. Our findings also offer possible etiologies of MCI and AD, where education did not protect against cognitive decline.

Indexed as

Alzheimer's diseasecognitive impairmentcognitive resiliencedementiadigital biomarker

Identifiers

PMID36061297
PMCPMC9435312

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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.