ArticleBrain connectivity2019
Intrinsic Functional Brain Connectivity Predicts Onset of Major Depression Disorder in Adolescence: A Pilot Study.
Article in Brain connectivity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Balancing act: Neural correlates of affect dysregulation in youth depression and substance use - A systematic review of functional neuroimaging studies.Developmental cognitive neuroscience · 2020Pooled it
- Maternal Depression, Childhood Resting-State Brain Connectivity, and Adolescent Depression During the COVID-19 Outbreak.Developmental psychobiology · 2026Article
- Attenuated cognitive control network connectivity as a mechanism in mother-daughter intergenerational transmission of depression: a preliminary study.Scientific reports · 2025Article
- Narrative Review: A Neurobiological Perspective on Resilience in Youth.JAACAP open · 2025Review
- Altered hypothalamus functional connectivity and psychological stress in patients with alopecia areata.Quantitative imaging in medicine and surgery · 2025Article
- Neuroimaging findings of adolescent depression: A review by the Research Domain Criteria (RDoC) framework.Psychiatry research. Neuroimaging · 2025Review
- Prediction of adolescent depression from prenatal and childhood data from ALSPAC using machine learning.Scientific reports · 2024Article
- Neural Circuit Markers of Familial Risk for Depression Among Healthy Youths in the Adolescent Brain Cognitive Development Study.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024Article
- Default Mode and Frontoparietal Network Dynamics: Associations with Familial Risk for Depression and Stress Sensitivity.Journal of mood and anxiety disorders · 2023Article
- Associations with youth psychotic-like experiences over time: Evidence for trans-symptom and specific cognitive and neural risk factors.Journal of psychopathology and clinical science · 2023Article
- Conceptualizing psychological resilience through resting-state functional MRI in a mentally healthy population: a systematic review.Frontiers in behavioral neuroscience · 2023Review
- The classification of brain network for major depressive disorder patients based on deep graph convolutional neural network.Frontiers in human neuroscience · 2023Article
- Can machine learning identify childhood characteristics that predict future development of bipolar disorder a decade later?Journal of psychiatric research · 2022Article
- No associations in preregistered study of youth depression and functional connectivity of fronto-parietal and default mode networks.Neuroimage. Reports · 2021Article
- Translational application of neuroimaging in major depressive disorder: a review of psychoradiological studies.Frontiers of medicine · 2021Review
- Neuroimaging markers of adolescent depression in the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study.Journal of affective disorders · 2021Article
- The Application of a Machine Learning-Based Brain Magnetic Resonance Imaging Approach in Major Depression.Advances in experimental medicine and biology · 2021Article
- Artificial intelligence for brain diseases: A systematic review.APL bioengineering · 2020Review
- Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model.Molecular psychiatry · 2020Review
- Familial risk of major mood disorders and brain functional connectivity in the default mode, cognitive executive, and salience networks.Journal of psychiatry & neuroscience : JPNArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Children with familial risk for major depressive disorder (MDD) have elevated risk for developing depression as adolescents. Here, we investigated longitudinally whether resting-state functional connectivity (RSFC) could predict the onset of MDD. In this pilot study, we followed a group of never-depressed children with familial risk for MDD and a group of age-matched controls without familial risk who had undergone an MRI study at 8-14 years of age. Participants were reassessed 3-4 years later with diagnostic interviews. We first investigated group differences in RSFC from regions in the emotion regulation, cognitive control, and default mode networks in the children who later developed MDD (converted), the children who did not develop MDD (nonconverted), and the control group. We then built a prediction model based on baseline RSFC that was independent of the group differences to classify the individuals who later developed MDD. Compared with the nonconverted group, the converted group exhibited hypoconnectivity between subgenual anterior cingulate cortex (sgACC) and inferior parietal lobule (IPL) and between left and right dorsolateral prefrontal cortices. The nonconverted group exhibited higher sgACC-IPL connectivity than did both the converted and control groups, suggesting a possible resilience factor to MDD. Classification between converted and nonconverted individuals based on baseline RSFC yielded high predictive accuracy with high sensitivity and specificity that was superior to classification based on baseline clinical rating scales. Intrinsic brain connectivity measured in healthy children with familial risk for depression has the potential to predict MDD onset, and it can be a useful neuromarker in early identification of children for preventive treatment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.