ReviewDevelopmental neurobiology2018
Multimodal approaches to functional connectivity in autism spectrum disorders: An integrative perspective.
Review in Developmental neurobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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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
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review.Frontiers in neuroscience · 2019Pooled it
- Factors linked to successful brain magnetic resonance imaging scans and data quality in autistic individuals across the functioning spectrum.BJPsych open · 2026Article
- Leveraging AI-Driven Neuroimaging Biomarkers for Early Detection and Social Function Prediction in Autism Spectrum Disorders: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- Multimodal Kernel-based discriminant correlation analysis data-fusion approach: an automated autism spectrum disorder diagnostic system.Physical and engineering sciences in medicine · 2024Article
- Cortico-basal ganglia white matter microstructure is linked to restricted repetitive behavior in autism spectrum disorder.Molecular autism · 2024Article
- Heterogeneity and convergence across seven neuroimaging modalities: a review of the autism spectrum disorder literature.Frontiers in psychiatry · 2024Review
- Atypical Associations between Functional Connectivity during Pragmatic and Semantic Language Processing and Cognitive Abilities in Children with Autism.Brain sciences · 2023Article
- Candidate biomarkers in psychiatric disorders: state of the field.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023Article
- A revisit of the amygdala theory of autism: Twenty years after.Neuropsychologia · 2023Review
- Neurobiological correlates and attenuated positive social intention attribution during laughter perception associated with degree of autistic traits.Journal of neural transmission (Vienna, Austria : 1996) · 2023Article
- Disentangling disorder-specific variation is key for precision psychiatry in autism.Frontiers in behavioral neuroscience · 2023Article
- Systematic Review on EEG Analysis to Diagnose and Treat Autism by Evaluating Functional Connectivity and Spectral Power.Neuropsychiatric disease and treatment · 2023Review
- fMRI BOLD and MEG theta power reflect complementary aspects of activity during lexicosemantic decision in adolescents with ASD.Neuroimage. Reports · 2022Article
- Estimating brain effective connectivity from EEG signals of patients with autism disorder and healthy individuals by reducing volume conduction effect.Cognitive neurodynamics · 2022Article
- Blood Oxygen Level-Dependent Lag Patterns Differ Between Rest and Task Conditions, but Are Largely Typical in Autism.Brain connectivity · 2022Article
- Structural filtering of functional data offered discriminative features for autism spectrum disorder.PloS one · 2022Article
- Functional Brain Networks in Preschool Children With Autism Spectrum Disorders.Frontiers in psychiatry · 2022Article
- Atypical core-periphery brain dynamics in autism.Network neuroscience (Cambridge, Mass.) · 2021Review
- Towards a Multivariate Biomarker-Based Diagnosis of Autism Spectrum Disorder: Review and Discussion of Recent Advancements.Seminars in pediatric neurology · 2020Review
- Atypical Relationships Between Spontaneous EEG and fMRI Activity in Autism.Brain connectivity · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Atypical functional connectivity has been implicated in autism spectrum disorders (ASDs). However, the literature to date has been largely inconsistent, with mixed and conflicting reports of hypo- and hyper-connectivity. These discrepancies are partly due to differences between various neuroimaging modalities. Functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and magnetoencephalography (MEG) measure distinct indices of functional connectivity (e.g., blood-oxygenation level-dependent [BOLD] signal vs. electrical activity). Furthermore, each method has unique benefits and disadvantages with respect to spatial and temporal resolution, vulnerability to specific artifacts, and practical implementation. Thus far, functional connectivity research on ASDs has remained almost exclusively unimodal; therefore, interpreting findings across modalities remains a challenge. Multimodal integration of fMRI, EEG, and MEG data is critical in resolving discrepancies in the literature, and working toward a unifying framework for interpreting past and future findings. This review aims to provide a theoretical foundation for future multimodal research on ASDs. First, we will discuss the merits and shortcomings of several popular theories in ASD functional connectivity research, using examples from the literature to date. Next, the neurophysiological relationships between imaging modalities, including their relationship with invasive neural recordings, will be reviewed. Finally, methodological approaches to multimodal data integration will be presented, and their future application to ASDs will be discussed. Analyses relating transient patterns of neural activity ("states") are particularly promising. This strategy provides a comparable measure across modalities, captures complex spatiotemporal patterns, and is a natural extension of recent dynamic fMRI research in ASDs. © 2017 Wiley Periodicals, Inc. Develop Neurobiol 78: 456-473, 2018.
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Registered trials
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