ArticleHuman brain mapping2016
Differentiating unipolar and bipolar depression by alterations in large-scale brain networks.
Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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
48 citing papers in PubMed, 127 citations in OpenAlex.
- Association of the endosomal sorting processes cargo selection and membrane tubulation with human reward system reactivity.European archives of psychiatry and clinical neuroscience · 2026Article
- A Sleep and Circadian Biomarker-Based Predictive Model for Differentiating Unipolar and Bipolar Depression.Depression and anxiety · 2026Article
- Resting-State and Task-Based Functional Connectivity Reveal Distinct mPFC and Hippocampal Network Alterations in Major Depressive Disorder.Brain sciences · 2025Article
- Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach.Translational psychiatry · 2024Article
- Effects of Ketamine on Frontoparietal Interactions in a Rule-Based Antisaccade Task in Macaque Monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Patterns of Neural Network Functional Connectivity Associated With Mania/Hypomania and Depression Risk in 3 Independent Young Adult Samples.JAMA psychiatry · 2024Article
- Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures.Scientific reports · 2024Article
- Insomnia-related brain functional correlates in first-episode drug-naïve major depressive disorder revealed by resting-state fMRI.Frontiers in neuroscience · 2024Article
- Aberrant brain dynamics of large-scale functional networks across schizophrenia and mood disorder.NeuroImage. Clinical · 2024Article
- Advances in functional MRI research in bipolar disorder: from the perspective of mood states.General psychiatry · 2024Review
- Subject-specific whole-brain parcellations of nodes and boundaries are modulated differently under 10 Hz rTMS.Scientific reports · 2023Article
- Metabolic regulation to treat bipolar depression: mechanisms and targeting by trimetazidine.Molecular psychiatry · 2023Review
- Aberrant Large-Scale Network Interactions Across Psychiatric Disorders Revealed by Large-Sample Multi-Site Resting-State Functional Magnetic Resonance Imaging Datasets.Schizophrenia bulletin · 2023Article
- Altered structural connectome of children with auditory processing disorder: a diffusion MRI study.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Heterogeneous brain dynamic functional connectivity patterns in first-episode drug-naive patients with major depressive disorder.Human brain mapping · 2023Article
- Abnormal dynamic functional network connectivity in patients with early-onset bipolar disorder.Frontiers in psychiatry · 2023Article
- Shared and disease-sensitive dysfunction across bipolar and unipolar disorder during depressive episodes: a transdiagnostic study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Article
- Neural network of bipolar disorder: Toward integration of neuroimaging and neurocircuit-based treatment strategies.Translational psychiatry · 2022Review
- Altered striatal functional connectivity and structural dysconnectivity in individuals with bipolar disorder: A resting state magnetic resonance imaging study.Frontiers in psychiatry · 2022Article
- Differences in verbal and spatial working memory in patients with bipolar II and unipolar depression: an MSI study.BMC psychiatry · 2021Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMisdiagnosing bipolar depression can lead to very deleterious consequences of mistreatment. Although depressive symptoms may be similarly expressed in unipolar and bipolar disorder, changes in specific brain networks could be very distinct, being therefore informative markers for the differential diagnosis. We aimed to characterize specific alterations in candidate large-scale networks (frontoparietal, cingulo-opercular, and default mode) in symptomatic unipolar and bipolar patients using resting state fMRI, a cognitively low demanding paradigm ideal to investigate patients.
methodsNetworks were selected after independent component analysis, compared across 40 patients acutely depressed (20 unipolar, 20 bipolar), and 20 controls well-matched for age, gender, and education levels, and alterations were correlated to clinical parameters.
resultsDespite comparable symptoms, patient groups were robustly differentiated by large-scale network alterations. Differences were driven in bipolar patients by increased functional connectivity in the frontoparietal network, a central executive and externally-oriented network. Conversely, unipolar patients presented increased functional connectivity in the default mode network, an introspective and self-referential network, as much as reduced connectivity of the cingulo-opercular network to default mode regions, a network involved in detecting the need to switch between internally and externally oriented demands. These findings were mostly unaffected by current medication, comorbidity, and structural changes. Moreover, network alterations in unipolar patients were significantly correlated to the number of depressive episodes.
conclusionUnipolar and bipolar groups displaying similar symptomatology could be clearly distinguished by characteristic changes in large-scale networks, encouraging further investigation of network fingerprints for clinical use. Hum Brain Mapp 37:808-818, 2016. © 2015 Wiley Periodicals, Inc.
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.