ArticleNeuroImage2020
Dynamic time warping outperforms Pearson correlation in detecting atypical functional connectivity in autism spectrum disorders.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed, 44 citations in OpenAlex.
- Standardized synchronization and validation pipeline for physiological biomarkers across multiple devices.Behavior research methods · 2026Article
- Aberrant recovery of timescale-aligned amplitude balance links to symptoms and cognition in schizophrenia.Translational psychiatry · 2026Article
- Unsupervised Dynamic Time Warping Clustering for Robust Functional Network Identification in fNIRS Motor Tasks.Sensors (Basel, Switzerland) · 2026Article
- Aberrant Recovery of Timescale-Aligned Amplitude Balance Links to Symptoms and Cognition in Schizophrenia.Research square · 2026Article
- Quantifying cortex-wide traveling brain waves of complex patterns with a graph-based algorithm.Frontiers in computational neuroscience · 2026Article
- Neural flexibility in metabolic demand dynamics reveals sex-specific differences and supports cognition in late childhood.bioRxiv : the preprint server for biology · 2025Article
- Timescale-normalized fMRI reveals disrupted dynamic signal-energy balance in schizophrenia.bioRxiv : the preprint server for biology · 2025Article
- Analysis of experiments with high frequency time series responses and the implications for power and sample size.Scientific reports · 2025Article
- Is Pearson's correlation coefficient enough for functional connectivity in fMRI?Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Extracting interpretable signatures of whole-brain dynamics through systematic comparison.PLoS computational biology · 2024Article
- STDCformer: Spatial-temporal dual-path cross-attention model for fMRI-based autism spectrum disorder identification.Heliyon · 2024Article
- Extracting interpretable signatures of whole-brain dynamics through systematic comparison.bioRxiv : the preprint server for biology · 2024Article
- The dynamics of dynamic time warping in fMRI data: A method to capture inter-network stretching and shrinking via warp elasticity.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Amortization Transformer for Brain Effective Connectivity Estimation from fMRI Data.Brain sciences · 2023Article
- Assessing Predictive Ability of Dynamic Time Warping Functional Connectivity for ASD Classification.International journal of biomedical imaging · 2023Article
- Dynamic Time Warping Identifies Functionally Distinct fMRI Resting State Cortical Networks Specific to VTA and SNc: A Proof of Concept.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Identification of Alzheimer's Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study.Behavioural neurology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 1 institution in 1 country.
Funding
Abstract
Resting state fMRI (rsfMRI) is frequently used to study brain function, including in clinical populations. Similarity of blood-oxygen-level-dependent (BOLD) fluctuations during rsfMRI between brain regions is thought to reflect intrinsic functional connectivity (FC), potentially due to history of coactivation. To quantify similarity, studies have almost exclusively relied on Pearson correlation, which assumes linearity and can therefore underestimate FC if the hemodynamic response function differs regionally or there is BOLD signal lag between timeseries. Here we show in three cohorts of children, adolescents and adults, with and without autism spectrum disorders (ASDs), that measuring the similarity of BOLD signal fluctuations using non-linear dynamic time warping (DTW) is more robust to global signal regression (GSR), has higher test-retest reliability and is more sensitive to task-related changes in FC. Additionally, when comparing FC between individuals with ASDs and typical controls, more group differences are detected using DTW. DTW estimates are also more related to ASD symptom severity and executive function, while Pearson correlation estimates of FC are more strongly associated with respiration during rsfMRI. Together these findings suggest that non-linear methods such as DTW improve estimation of resting state FC, particularly when studying clinical populations whose hemodynamics or neurovascular coupling may be altered compared to typical controls.
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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.