ArticlePloS one2015
An Automated, Adaptive Framework for Optimizing Preprocessing Pipelines in Task-Based Functional MRI.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 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
37 citing papers in PubMed, 73 citations in OpenAlex.
- Baseline Functional Connectivity in Resting State Networks Associated with Depression and Remission Status after 16 Weeks of Pharmacotherapy: A CAN-BIND Report.Cerebral cortex (New York, N.Y. : 1991) · 2022Trial
- Socioeconomic Status Is Associated With Reward Processing, Interleukin 1β, Striatal Connectivity, and Antidepressant Outcomes in Individuals With Major Depressive Disorder: A CAN-BIND-1 Report.Biological psychiatry global open science · 2026Article
- A Cross Sectional and Longitudinal Assessment of Neuropsychiatric Symptoms and Brain Functional Connectivity in Patients With Mild Cognitive Impairment, Cerebrovascular Disease and Parkinson Disease.International journal of geriatric psychiatry · 2025Article
- Early midlife ovarian removal is associated with lower posterior hippocampal function.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Comparing the carbon footprint of fMRI data processing and analysis approaches.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- A sensitivity analysis of preprocessing pipelines: Toward a solution for multiverse analyses.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- On the validity of fMRI mega-analyses using data processed with different pipelines.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Measuring and reducing the carbon footprint of fMRI preprocessing in fMRIPrep.Human brain mapping · 2024Article
- Impact of data processing varieties on DCM estimates of effective connectivity from task-fMRI.Human brain mapping · 2024Article
- Article
- Assessing remission in major depressive disorder using a functional-structural data fusion pipeline: A CAN-BIND-1 study.IBRO neuroscience reports · 2024Article
- A multi-sample evaluation of the measurement structure and function of the modified monetary incentive delay task in adolescents.Developmental cognitive neuroscience · 2024Article
- Functional neuroimaging biomarkers of anhedonia response to escitalopram plus adjunct aripiprazole treatment for major depressive disorder.BJPsych open · 2024Article
- Impact of analytic decisions on test-retest reliability of individual and group estimates in functional magnetic resonance imaging: A multiverse analysis using the monetary incentive delay task.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Women's Brain Health: Midlife Ovarian Removal Affects Associative Memory.Molecular neurobiology · 2023Article
- OViTAD: Optimized Vision Transformer to Predict Various Stages of Alzheimer's Disease Using Resting-State fMRI and Structural MRI Data.Brain sciences · 2023Article
- Functional Magnetic Resonance Imaging Studies in Sexual Medicine: A Primer.The journal of sexual medicine · 2022Article
- Isolating the sources of pipeline-variability in group-level task-fMRI results.Human brain mapping · 2022Article
- Exploring brain connectivity changes in major depressive disorder using functional-structural data fusion: A CAN-BIND-1 study.Human brain mapping · 2021Article
- Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics.PLoS computational biology · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
BOLD fMRI is sensitive to blood-oxygenation changes correlated with brain function; however, it is limited by relatively weak signal and significant noise confounds. Many preprocessing algorithms have been developed to control noise and improve signal detection in fMRI. Although the chosen set of preprocessing and analysis steps (the "pipeline") significantly affects signal detection, pipelines are rarely quantitatively validated in the neuroimaging literature, due to complex preprocessing interactions. This paper outlines and validates an adaptive resampling framework for evaluating and optimizing preprocessing choices by optimizing data-driven metrics of task prediction and spatial reproducibility. Compared to standard "fixed" preprocessing pipelines, this optimization approach significantly improves independent validation measures of within-subject test-retest, and between-subject activation overlap, and behavioural prediction accuracy. We demonstrate that preprocessing choices function as implicit model regularizers, and that improvements due to pipeline optimization generalize across a range of simple to complex experimental tasks and analysis models. Results are shown for brief scanning sessions (<3 minutes each), demonstrating that with pipeline optimization, it is possible to obtain reliable results and brain-behaviour correlations in relatively small datasets.
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.