Over the past decades, neuroimaging has become widely used to investigate structural and functional brain abnormality in neuropsychiatric disorders. The results of individual neuroimaging studies, however, are frequently inconsistent due to small and heterogeneous samples, analytical flexibility, and publication bias toward positive findings. To consolidate the emergent findings toward clinically useful insight, meta‐analyses have been developed to integrate the results of studies and identify areas that are consistently involved in pathophysiology of particular neuropsychiatric disorders. However, it should be considered that the results of meta‐analyses could also be divergent due to heterogeneity in search strategy, selection criteria, imaging modalities, behavioral tasks, number of experiments, data organization methods, and statistical analysis with different multiple comparison thresholds. Following an introduction to the problem and the concepts of quantitative summaries of neuroimaging findings, we propose practical recommendations for clinicians and researchers for conducting transparent and methodologically sound neuroimaging meta‐analyses. This should help to consolidate the search for convergent regional brain abnormality in neuropsychiatric disorders.

tDCS over the left DLPFC of adolescents who suffer from ADHD symptoms can improve inhibitory control in prepotent response inhibition.

Ineffective use of adaptive cognitive strategies (e.g., reappraisal) to regulate emotional states is often reported in a wide variety of psychiatric disorders, suggesting a common characteristic across different diagnostic categories. However, the extent of shared neurobiological impairments is incompletely understood. This study, therefore, aimed to identify the transdiagnostic neural signature of disturbed reappraisal using the coordinate‐based meta‐analysis (CBMA) approach. Following the best‐practice guidelines for conducting neuroimaging meta‐analyses, we systematically searched PubMed, ScienceDirect, and Web of Science databases and tracked the references. Out of 1,608 identified publications, 32 whole‐brain neuroimaging studies were retrieved that compared brain activation in patients with psychiatric disorders and healthy controls during a reappraisal task. Then, the reported peak coordinates of group comparisons were extracted and several activation likelihood estimation (ALE) analyses were performed at three hierarchical levels to identify the potential spatial convergence: the global level (i.e., the pooled analysis and the analyses of increased/decreased activations), the experimental‐contrast level (i.e., the analyses of grouped data based on the regulation goal, stimulus valence, and instruction rule) and the disorder‐group level (i.e., the analyses across the experimental‐contrast level focused on increasing homogeneity of disorders). Surprisingly, none of our analyses provided significant convergent findings. This CBMA indicates a lack of transdiagnostic convergent regional abnormality related to reappraisal task, probably due to the complex nature of cognitive emotion regulation, heterogeneity of clinical populations, and/or experimental and statistical flexibility of individual studies.

In general, these findings support the reliability and the validity of the P-FSDS-R among Iranian women.

Cognitive emotion regulation (i.e., reappraisal) impairment is a key feature in a wide variety of mental disorders, suggesting common nature of disruption across psychiatric diagnoses. However, the extent of potential shared neurobiological disturbances related to reappraisalimpairment is incompletely understood. This study, therefore, aimed to identify neurobiological substrates of disturbed reappraisal using a transdiagnostic approach by performing a quantitative coordinate-based meta-analysis (CBMA) on reappraisal tasks across various mental disorders. Following the best-practice guidelines for neuroimaging meta-analysis, we systematicallysearched PubMed, ScienceDirect and Web of Science databases for whole-brain neuroimaging studies published through February 2020 that compared brain activation in patients with mental disorders and matched healthy controls during a reappraisal task. Out of 1608 publications, we retrieved 32 publications with 1240 unique individuals, providing sufficient power for conducting CBMA using activation likelihood estimation (ALE) method. The reported peak coordinates for the patient/control difference in selected articles were extracted and several ALE analyses were performed to identify spatial convergence. Surprisingly, neither the pooled ALE analysis noradditional analyses restricting to in-/decreased contrasts and more homogeneous grouping of coordinates (i.e., regulation direction, stimulus valence and disorder category) provided significant convergent findings. This CBMA indicates a lack of convergent regional abnormality related to reappraisal across various mental disorders. This might be due to the complex nature of reappraisal, heterogeneous clinical populations or methodological flexibility including preprocessing and analytical methods.

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