COVID-19 Communication Campaigns for Vaccination: An Assessment with Perspectives for Future Equity-Centered Public Health Efforts.

Although public and private institutions have spent billions of dollars on COVID-19 vaccination campaigns, many of which claim to be "equity-focused," few articles to date have objectively described the landscape of these campaigns or identified existing gaps with a focus on those populations disproportionately impacted by the virus. To these ends, a high-level landscape analysis of COVID-related communication campaigns was conducted. Analysis of 15 COVID-related communication campaigns based on six criteria (i.e., understandability, accessibility, actionability, credibility/trustworthiness, relevance/relatability, and timeliness) identified successful efforts, including campaigns aligned with the World Health Organization's Strategic Communications Framework and rooted in community co-design and communication science. The analysis also revealed five common shortcomings: campaigns were not end-user focused, only "checked the box" when communicating with historically under-resourced communities, were largely broadcast-focused and rarely involved two-way engagement strategies or tactics, demonstrated poor use of online communication approaches and failed to moderate campaign comment boards/social media sites, and commonly targeted "intermediary" audiences with materials that were not "end user ready." Based on these findings, the authors offer recommendations to guide funding and development of future health communication campaigns focused on reaching diverse audiences.

Co-alteration Network Architecture of Major Depressive Disorder: A Multi-modal Neuroimaging Assessment of Large-scale Disease Effects.

Major depressive disorder (MDD) exhibits diverse symptomology and neuroimaging studies report widespread disruption of key brain areas. Numerous theories underpinning the network degeneration hypothesis (NDH) posit that neuropsychiatric diseases selectively target brain areas via meaningful network mechanisms rather than as indistinct disease effects. The present study tests the hypothesis that MDD is a network-based disorder, both structurally and functionally. Coordinate-based meta-analysis and Activation Likelihood Estimation (CBMA-ALE) were used to assess the convergence of findings from 92 previously published studies in depression. An extension of CBMA-ALE was then used to generate a node-and-edge network model representing the co-alteration of brain areas impacted by MDD. Standardized measures of graph theoretical network architecture were assessed. Co-alteration patterns among the meta-analytic MDD nodes were then tested in independent, clinical T1-weighted structural magnetic resonance imaging (MRI) and resting-state functional (rs-fMRI) data. Differences in co-alteration profiles between MDD patients and healthy controls, as well as between controls and clinical subgroups of MDD patients, were assessed. A 65-node 144-edge co-alteration network model was derived for MDD. Testing of co-alteration profiles in replication data using the MDD nodes provided distinction between MDD and healthy controls in structural data. However, co-alteration profiles were not distinguished between patients and controls in rs-fMRI data. Improved distinction between patients and healthy controls was observed in clinically homogenous MDD subgroups in T1 data. MDD abnormalities demonstrated both structural and functional network architecture, though only structural networks exhibited between-groups differences. Our findings suggest improved utility of structural co-alteration networks for ongoing biomarker development.

Invariant structural and functional brain regions associated with tinnitus: A meta-analysis.

Tinnitus is a common, functionally disabling condition of often unknown etiology. Neuroimaging research to better understand tinnitus is emerging but remains limited in scope. Voxel-based physiology (VBP) studies detect tinnitus-associated pathophysiology by group-wise contrast (tinnitus vs controls) of resting-state indices of hemodynamics, metabolism, and neurovascular coupling. Voxel-based morphometry (VBM) detects tinnitus-associated neurodegeneration by group-wise contrast of structural MRI. Both VBP and VBM studies routinely report results as atlas-referenced coordinates, suitable for coordinate-based meta-analysis (CBMA). Here, 17 resting-state VBP and 8 VBM reports of tinnitus-associated regional alterations were meta-analyzed using activation likelihood estimation (ALE). Acknowledging the need for data-driven insights, ALEs were performed at two levels of statistical rigor: corrected for multiple comparisons and uncorrected. The corrected ALE applied cluster-level inference thresholding by intensity (z-score > 1.96; p < 0.05) followed by family-wise error correction for multiple comparisons (p < .05, 1000 permutations) and fail-safe correction for missing data. The corrected analysis identified one significant cluster comprising five foci in the posterior cingulate gyrus and precuneus, that is, not within the primary or secondary auditory cortices. The uncorrected ALE identified additional regions within auditory and cognitive processing networks. Taken together, tinnitus is likely a dysfunction of regions spanning multiple canonical networks that may serve to increase individuals' interoceptive awareness of the tinnitus sound, decrease capacity to switch cognitive sets, and prevent behavioral and cognitive attention to other stimuli. It is noteworthy that the most robust tinnitus-related abnormalities are not in the auditory system, contradicting collective findings of task-activation literature in tinnitus.

Disruption of the Atrophy-based Functional Network in Multiple Sclerosis Is Associated with Clinical Disability: Validation of a Meta-Analytic Model in Resting-State Functional MRI.

Background In multiple sclerosis (MS), gray matter (GM) atrophy exhibits a specific pattern, which correlates strongly with clinical disability. However, the mechanism of regional specificity in GM atrophy remains largely unknown. Recently, the network degeneration hypothesis (NDH) was quantitatively defined (using coordinate-based meta-analysis) as the atrophy-based functional network (AFN) model, which posits that localized GM atrophy in MS is mediated by functional networks. Purpose To test the NDH in MS in a data-driven manner using the AFN model to direct analyses in an independent test sample. Materials and Methods Model fit testing was conducted with structural equation modeling, which is based on the computation of semipartial correlations. Model verification was performed in coordinate-based data of healthy control participants from the BrainMap database (https://www.brainmap.org). Model validation was conducted in prospectively acquired resting-state functional MRI in participants with relapsing-remitting MS who were recruited between September 2018 and January 2019. Correlation analyses of model fit indices and volumetric measures with Expanded Disability Status Scale (EDSS) scores and disease duration were performed. Results Model verification of healthy control participants included 80 194 coordinates from 9035 experiments. Model verification in healthy control data resulted in excellent model fit (root mean square error of approximation, 0.037; 90% CI: 0.036, 0.039). Twenty participants (mean age, 36 years ± 9 [standard deviation]; 12 women) with relapsing-remitting MS were evaluated. Model validation in resting-state functional MRI in participants with MS resulted in deviation from optimal model fit (root mean square error of approximation, 0.071; 90% CI: 0.070, 0.072), which correlated with EDSS scores (r = 0.68; P = .002). Conclusion The atrophy-based functional network model predicts functional network disruption in multiple sclerosis (MS), thereby supporting the network degeneration hypothesis. On resting-state functional MRI scans, reduced functional network integrity in participants with MS had a strong positive correlation with clinical disability. © RSNA, 2021 Online supplemental material is available for this article.

Multimodal Abnormalities of Brain Structure and Function in Major Depressive Disorder: A Meta-Analysis of Neuroimaging Studies.

OBJECTIVE: Imaging studies of major depressive disorder have reported structural and functional abnormalities in a variety of spatially diverse brain regions. Quantitative meta-analyses of this literature, however, have failed to find statistically significant between-study spatial convergence, other than transdiagnostic-only effects. In the present study, the authors applied a novel multimodal meta-analytic approach to test the hypothesis that major depression exhibits spatially convergent structural and functional brain abnormalities. METHODS: This coordinate-based meta-analysis included voxel-based morphometry (VBM) studies and resting-state voxel-based pathophysiology (VBP) studies of blood flow, glucose metabolism, regional homogeneity, and amplitude of low-frequency fluctuations (ALFF) and fractional ALFF (fALFF). Input data were grouped into three primary meta-analytic classes: gray matter atrophy, increased function, and decreased function in patients with major depression relative to healthy control subjects. In secondary meta-analyses, the data were grouped across primary categories, and in tertiary analyses, by medication status and absence of psychiatric comorbidity. Activation likelihood estimation was used for all analyses. RESULTS: A total of 92 publications reporting 152 experiments were identified, collectively representing 2,928 patients with major depressive disorder. The primary analyses detected no convergence across studies. The secondary analyses identified portions of the subgenual cingulate cortex, hippocampus, amygdala, and putamen as demonstrating convergent abnormalities. The tertiary analyses (clinical subtypes) showed improved convergence relative to the secondary analyses. CONCLUSIONS: Coordinate-based meta-analysis identified spatially convergent structural (VBM) and functional (VBP) abnormalities in major depression. The findings suggest replicable neuroimaging features associated with major depression, beyond the transdiagnostic effects reported in previous meta-analyses, and support a continued research focus on the subgenual cingulate and other selected regions' role in depression.

Engaging the Community through Science Nights: An Elementary School Case Study.

Parental involvement increases K-12 student interest in STEM careers; however, when parents lack confidence in STEM content, or language and cultural barriers exist, parental engagement decreases. The Teacher Enrichment Initiatives (TEI) collects annual teacher feedback regarding the level of parental involvement with students during science nights, which laid the foundation for teachers to develop a science night training. Using qualitative methods, this single-case study follows elementary teachers who participated in the TEI science night training as they implement a Science Night program at a majority-minority elementary school. Data were gathered by TEI staff during the inaugural and third year of the Science Night program showing an increase in attendance from 700 (2016) to 800 (2018) and an increase in parental engagement with their student in STEM-related activities from 46% (2016) to 62% (2018). The data and follow-up summary were used by the case study school teachers to write and secure grants to support an annual Science Night program. This case study suggests Science Nights can be a mechanism to promote parental engagement with their student in hands-on STEM activities. Further, this case study suggests teacher feedback and inclusion in developing a science night model is central to successful implementation of a science night program.

Evaluating MyPlate: an expanded framework using traditional and nontraditional metrics for assessing health communication campaigns.

MyPlate, the icon and multimodal communication plan developed for the 2010 Dietary Guidelines for Americans (DGA), provides an opportunity to consider new approaches to evaluating the effectiveness of communication initiatives. A review of indicators used in assessments for previous DGA communication initiatives finds gaps in accounting for important intermediate and long-term outcomes. This evaluation framework for the MyPlate Communications Initiative builds on well-known and underused models and theories to propose a wide breadth of observations, outputs, and outcomes that can contribute to a fuller assessment of effectiveness. Two areas are suggested to focus evaluation efforts in order to advance understanding of the effectiveness of the MyPlate Communications Initiative: understanding the extent to which messages and products from the initiative are associated with positive changes in social norms toward the desired behaviors, and strategies to increase the effectiveness of communications about DGA in vulnerable populations.

Health and nutrient content claims in food advertisements on Hispanic and mainstream prime-time television.

OBJECTIVE: Characterize frequency and type of health and nutrient content claims in prime-time weeknight Spanish- and English-language television advertisements from programs shown in 2003 with a high viewership by women aged 18 to 35 years. DESIGN: Comparative content analysis design was used to analyze 95 hours of Spanish-language and 72 hours of English-language television programs (netting 269 and 543 food ads, respectively). MAIN OUTCOME MEASURES: A content analysis instrument was used to gather information on explicit health and nutrient content claims: nutrition information only; diet-disease; structure-function; processed food health outcome; good for one's health; health care provider endorsement. ANALYSIS: Chi-square statistics detected statistically significant differences between the groups. RESULTS: Compared to English-language television, Spanish-language television aired significantly more food advertisements containing nutrition information and health, processed food/health, and good for one's health claims. Samples did not differ in the rate of diet/disease, structure/function, or health care provider endorsement claims. CONCLUSIONS AND IMPLICATIONS: Findings indicate that Spanish-language television advertisements provide viewers with significantly more nutrition information than English-language network advertisements. Potential links between the deteriorating health status of Hispanics acculturating into US mainstream culture and their exposure to the less nutrition-based messaging found in English-language television should be explored.

Guidance for evaluating mass communication health initiatives: summary of an expert panel discussion sponsored by the Centers for Disease Control and Prevention.

In May 2004, 12 experts in evaluating large-scale health communication programs came to the Centers for Disease Control and Prevention to participate in an electronic focus group discussion. They offered advice on topics ranging from the role of logic models to the best strategies for controlling for self-selection bias in surveys regarding outcomes of exposure to mass media health messages. The experts also highlighted health communication evaluation topics that have received too little scientific attention. Finally, they made strategic policy recommendations. Use of the state-of-the-art evaluation methods that they recommended could improve the communication of factual and persuasive health messages and help to guard the public health of the nation. Their advice may also advance evaluation practice in other substantive areas, especially where it is difficult or impossible to implement randomized designs.