ArticleFrontiers in neuroscience2023
Functional connectivity MRI quality control procedures in CONN.
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
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Who cites it
50 citing papers in PubMed.
- Brain Structural and Functional Neuroimaging Features are Associated With Improved Auditory Hallucinations in Patients With Schizophrenia After Real-Time fMRI Neurofeedback.Depression and anxiety · 2025Trial
- Targeting the superior temporal gyrus with real-time fMRI neurofeedback: A pilot study of the indirect effects on self-referential processes in schizophrenia.Schizophrenia research · 2024Trial
- Visual stimulation by extensive visual media consumption can be beneficial for motor learning.Scientific reports · 2023Trial
- Functional connectivity correlates of sequence memory decline in healthy older adults.GeroScience · 2026Article
- Atypical Social Behavior is Predicted by Overconnectivity Between Salience and Default Mode Networks in Autism Spectrum Disorder.Journal of autism and developmental disorders · 2026Article
- Resting-State Brain Entropy Reveals Altered Neural Dynamics and Cognitive Associations in Mild Traumatic Brain Injury: A Longitudinal Study.Journal of neuroscience research · 2026Article
- Neuroinflammation-associated thalamocortical functional connectivity and cognition in older adults.Journal of neuroinflammation · 2026Article
- Article
- Association of HIV infection and alcohol use on resting-state functional connectivity and mental health in youth living with perinatal HIV.Research square · 2026Article
- A new fMRI quality metric using multi-echo information: Theory, validation and implications.bioRxiv : the preprint server for biology · 2026Article
- Time-Varying Brain Functional Reconfiguration Patterns Associated With Fatigue in Multiple Sclerosis.Human brain mapping · 2026Observational
- Neural Mechanisms of Reciprocity Availability and Expectancy Violation During Social Interaction.Brain sciences · 2026Article
- Multimodal MRI of episodic cluster headache reveals frontal cortical alterations and network-level connectivity changes.The journal of headache and pain · 2026Article
- Differential brain reorganization in chronic cervical spinal cord injury and its relation to motor versus sensory impairments: a preliminary investigation.Scientific reports · 2026Article
- Distinct functional connectivity patterns in myalgic encephalomyelitis and long COVID patients during cognitive fatigue: a 7 Tesla task-fMRI study.Journal of translational medicine · 2026Article
- Acute effects of nitrous oxide on visual processing: a connectome study in healthy adults.Research square · 2026Article
- Transcranial alternating current stimulation improves cognitive functions in healthy subjects through modifying frontoparietal and dorsal attention networks based on personalized individual theta frequency analysis.Frontiers in behavioral neuroscience · 2026Article
- Neurophysiological, imaging and neurobiological markers of central fatigue in multiple sclerosis.Brain communications · 2026Article
- Brain networks activated when aggravating baseline chronic pain of an individual with new daily persistent headache: a case study.BMC neurology · 2025Article
- Resting-state functional connectivity changes in the human brain from electrically-stimulated (2 Hz), rhythmic muscle contractions to the hand: An exploratory study.Neuroimage. Reports · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quality control (QC) for functional connectivity magnetic resonance imaging (FC-MRI) is critical to ensure the validity of neuroimaging studies. Noise confounds are common in MRI data and, if not accounted for, may introduce biases in functional measures affecting the validity, replicability, and interpretation of FC-MRI study results. Although FC-MRI analysis rests on the assumption of adequate data processing, QC is underutilized and not systematically reported. Here, we describe a quality control pipeline for the visual and automated evaluation of MRI data implemented as part of the CONN toolbox. We analyzed publicly available resting state MRI data (
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