ArticleHuman brain mapping2023
PhiPipe: A multi-modal MRI data processing pipeline with test-retest reliability and predicative validity assessments.
Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Intranasal (R)-ketamine modulates depression symptom and neurotransmitters-associated human brain connectivity.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026Article
- Power Spectral Slope as a Novel Brain Functional Marker for Major Depressive Disorder.Biological psychiatry global open science · 2026Article
- MIND versus MSN: A systematic evaluation of test-retest reliability and age sensitivity for T1-weighted structural similarity networks.Network neuroscience (Cambridge, Mass.) · 2026Article
- Prefrontal Structural Asymmetry Mediates Body Mass Index and Treatment Response in Major Depressive Disorder.Depression and anxiety · 2026Article
- Divergent Longitudinal Trajectories and Neurotransmitter Associations of Striatal Subparcellation Spontaneous Activity in Major Depressive Disorder.Biological psychiatry global open science · 2025Article
- Predicting antidepressant response via local-global graph neural network and neuroimaging biomarkers.NPJ digital medicine · 2025Article
- Risk factor patterns define social anxiety subtypes in adolescents with brain and clinical feature differences.European child & adolescent psychiatry · 2025Article
- Aberrant functional connectivity of the dorsolateral prefrontal cortex-nucleus accumbens during naturalistic stimulation in adolescent major depressive disorder.Frontiers in psychiatry · 2025Article
- Radiation-induced white matter dysfunction in patients with nasopharyngeal carcinoma.Frontiers in neuroscience · 2025Article
- Structural-functional connectivity decoupling in multiscale brain networks in Parkinson's disease.BMC neuroscience · 2024Article
- Evaluating brain volume segmentation accuracy and reliability of FreeSurfer and Neurophet AQUA at variations in MRI magnetic field strengths.Scientific reports · 2024Article
- Inter-Software Consistency on the Estimation of Subcortical Structure Volume in Different Age Groups.Human brain mapping · 2024Article
- Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024Article
- A normative model of brain responses to social scenarios reflects the maturity of children and adolescents' social-emotional abilities.Social cognitive and affective neuroscience · 2023Article
- Pathological Networking of Gray Matter Dendritic Density With Classic Brain Morphometries in OCD.JAMA network open · 2023Article
- PhiPipe: A multi-modal MRI data processing pipeline with test-retest reliability and predicative validity assessments.Human brain mapping · 2023Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Magnetic resonance imaging (MRI) has been one of the primary instruments to measure the properties of the human brain non-invasively in vivo. MRI data generally needs to go through a series of processing steps (i.e., a pipeline) before statistical analysis. Currently, the processing pipelines for multi-modal MRI data are still rare, in contrast to single-modal pipelines. Furthermore, the reliability and validity of the output of the pipelines are critical for the MRI studies. However, the reliability and validity measures are not available or adequate for almost all pipelines. Here, we present PhiPipe, a multi-modal MRI processing pipeline. PhiPipe could process T1-weighted, resting-state BOLD, and diffusion-weighted MRI data and generate commonly used brain features in neuroimaging. We evaluated the test-retest reliability of PhiPipe's brain features by computing intra-class correlations (ICC) in four public datasets with repeated scans. We further evaluated the predictive validity by computing the correlation of brain features with chronological age in three public adult lifespan datasets. The multivariate reliability and predictive validity of the PhiPipe results were also evaluated. The results of PhiPipe were consistent with previous studies, showing comparable or better reliability and validity when compared with two popular single-modality pipelines, namely DPARSF and PANDA. The publicly available PhiPipe provides a simple-to-use solution to multi-modal MRI data processing. The accompanied reliability and validity assessments could help researchers make informed choices in experimental design and statistical analysis. Furthermore, this study provides a framework for evaluating the reliability and validity of image processing pipelines.
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