ArticleHuman brain mapping2021
Exploring brain connectivity changes in major depressive disorder using functional-structural data fusion: A CAN-BIND-1 study.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05017311 (Optimized Predictive Treatment In Medications for Unipolar Major Depression), which is not on this map. Cited by 9 papers.
What it found
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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.
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.
Optimized Predictive Treatment In Medications for Unipolar Major Depression (OPTIMUM-D)
Who cites it
9 citing papers in PubMed.
- Effects of Cortisol Administration on Resting-State Functional Connectivity in Women with Depression.Psychiatry research. Neuroimaging · 2024Trial
- Disrupted Large-Scale Brain Network Connectivity in Prolonged Grief Disorder: Relationship With Grief-Related Avoidance, Yearning, and Intrusive Thoughts.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model.Molecular psychiatry · 2026Article
- Assessing remission in major depressive disorder using a functional-structural data fusion pipeline: A CAN-BIND-1 study.IBRO neuroscience reports · 2024Article
- Article
- Examining resting-state network connectivity in children exposed to perinatal maternal adversity using anatomically weighted functional connectivity (awFC) analyses; A preliminary report.Frontiers in neuroscience · 2023Article
- Altered Neural Network Connectivity Predicts Depression inFrontiers in neuroscience · 2022Article
- Percentage amplitude of fluctuation and structural covariance changes of subjective cognitive decline in patients: A multimodal imaging study.Frontiers in neuroscience · 2022Article
- Exploring brain connectivity changes in major depressive disorder using functional-structural data fusion: A CAN-BIND-1 study.Human brain mapping · 2021Article
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a growing interest in examining the wealth of data generated by fusing functional and structural imaging information sources. These approaches may have clinical utility in identifying disruptions in the brain networks that underlie major depressive disorder (MDD). We combined an existing software toolbox with a mathematically dense statistical method to produce a novel processing pipeline for the fast and easy implementation of data fusion analysis (FATCAT-awFC). The novel FATCAT-awFC pipeline was then utilized to identify connectivity (conventional functional, conventional structural and anatomically weighted functional connectivy) changes in MDD patients compared to healthy comparison participants (HC). Data were acquired from the Canadian Biomarker Integration Network for Depression (CAN-BIND-1) study. Large-scale resting-state networks were assessed. We found statistically significant anatomically-weighted functional connectivity (awFC) group differences in the default mode network and the ventral attention network, with a modest effect size (d < 0.4). Functional and structural connectivity seemed to overlap in significance between one region-pair within the default mode network. By combining structural and functional data, awFC served to heighten or reduce the magnitude of connectivity differences in various regions distinguishing MDD from HC. This method can help us more fully understand the interconnected nature of structural and functional connectivity as it relates to depression.
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Registered trials
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