Evidence map›Paper›PMID 30540702›Full record

ArticleNursing research

Characterization of Brain Signatures to Add Precision to Self-Management Health Information Interventions.

Shirley M Moore, Carol M Musil, Anthony I Jack, Megan L Alder, David M Fresco, Allison Webel, Kathy D Wright, Abdus Sattar, Patricia Higgins

Abstract read
In one paragraph

Article in Nursing research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. 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

9 authors at 2 institutions in 2 countries.

Shirley M MooreShirley M. Moore, PhD, RN, is the Edward J. and Louise Mellen Professor of Nursing, Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio. Carol M. Musil, PhD, RN, is the Marvin E. and Ruth Durr Denekas Professor of Nursing, Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio. Anthony I. Jack, PhD, is Associate Professor, Department of Philosophy, Case Western Reserve University, Cleveland, Ohio. Megan L. Alder, BSN, RN, is PhD Student, Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio. David M. Fresco, PhD, is Professor, Department of Psychological Sciences, Kent State University, and Case Western Reserve University, Cleveland, Ohio. Alison Webel, PhD, RN, is Assistant Professor, Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio. Kathy D. Wright, PhD, RN, CNS, is Assistant Professor, Chief Diversity Officer, The College of Nursing, The Ohio State University, Columbus. Abdus Sattar, PhD, is Associate Professor, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio. Patricia Higgins, PhD, RN, is Associate Professor, Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio.
Carol M Musil
Anthony I Jack
Megan L Alder
David M Fresco
Allison Webel
Kathy D Wright
Abdus Sattar
Patricia Higgins
U.S. National Science Foundation · USUniversity Hospitals of Cleveland · US

Funding

Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
SMART Center II Brain Behavior Connections in Self Management ScienceP30NR015326 · NINR · CASE WESTERN RESERVE UNIVERSITY · PI MOORE, SHIRLEY M · 2014 to 2018
$2.8M
Multiple Chronic Conditions_Interdisciplinary Nurse Scientist TrainingT32NR015433 · NINR · CASE WESTERN RESERVE UNIVERSITY · PI MOORE, SHIRLEY M · 2015 to 2019
$1.9M
NCATS NIH HHS KL2 TR000440NINR NIH HHS P30 NR015326NINR NIH HHS T32 NR015433
6 · The paper itself

Abstract

backgroundAlthough many of the proposed mediating processes of self-management interventions are operationally defined as cognitive processes (e.g., acquiring and using information, self-efficacy, motivation, and decision-making), little is known about their underlying brain mechanisms. Brain biomarkers of how people process health information may be an important characteristic on which to individualize health information to optimize self-management of chronic conditions.

objectivesWe describe a program of research addressing the identification of brain biomarkers that differentially predict responses to two types of health information (analytic focused and emotion focused) designed to support optimal self-management of chronic conditions.

methodsWe pooled data from two pilot studies (N = 52) that included functional magnetic resonance imaging during a specially designed, ecologically valid protocol to examine brain activation (task differentiation) associated with two large-scale neural networks-the Analytic Network and the Empathy Network-and the ventral medial prefrontal cortex while individuals responded to different types of health information (analytic and emotional).

resultsFindings indicate that analytic information and emotional information are processed differently in the brain, and the magnitude of this differentiation in response to type of information varies from person to person. Activation in the a priori regions identified in response to both analytic and emotion information was confirmed. The feasibility of obtaining brain imaging data from persons with chronic conditions also is demonstrated. DISCUSSION: An understanding of brain signatures related to information processing has potential to assist in the design of more individualized, effective self-management interventions.

Indexed as

CognitionEmotionsExecutive FunctionHumansMagnetic Resonance ImagingNeural PathwaysSelf-Management

Identifiers

PMID30540702
PMCPMC6490684
OpenAlexW2906064486

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Registered trials

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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.