ReviewFrontiers in psychiatry2016
Inferring the Dysconnection Syndrome in Schizophrenia: Interpretational Considerations on Methods for the Network Analyses of fMRI Data.
Review in Frontiers in psychiatry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed.
- Distributed Neural Substrates for Autonomic Control During Human Thermoregulation: Brain Network Configurations of Sympathetic and Parasympathetic Innervation.Brain topography · 2026Article
- Learning evoked centrality dynamics in the schizophrenia brain: entropy, heterogeneity, and inflexibility of brain networks.Journal of psychiatry & neuroscience : JPN · 2025Article
- Monotonicity in graph theoretic summaries of fMRI data acquired during human learning.Frontiers in human neuroscience · 2025Article
- The importance of covert memory consolidation in schizophrenia: Dysfunctional network profiles of the hippocampus and the dorsolateral prefrontal cortex.Psychiatry research. Neuroimaging · 2024Article
- Topological Data Analysis Captures Task-Driven fMRI Profiles in Individual Participants: A Classification Pipeline Based on Persistence.Neuroinformatics · 2024Article
- The mesolimbic system and the loss of higher order network features in schizophrenia when learning without reward.Frontiers in psychiatry · 2024Article
- Learning without contingencies: A loss of synergy between memory and reward circuits in schizophrenia.Schizophrenia research · 2023Article
- The future of diagnosis in clinical neurosciences: Comparing multiple sclerosis and schizophrenia.European psychiatry : the journal of the Association of European Psychiatrists · 2023Review
- The topology, stability, and instability of learning-induced brain network repertoires in schizophrenia.Network neuroscience (Cambridge, Mass.) · 2023Article
- Inefficient white matter activity in Schizophrenia evoked during intra and inter-hemispheric communication.Translational psychiatry · 2022Article
- Effective connectivity of brain networks controlling human thermoregulation.Brain structure & function · 2022Article
- Sustained attention induces altered effective connectivity of the ascending thalamo-cortical relay in obsessive-compulsive disorder.Frontiers in psychiatry · 2022Article
- Neurocircuitry of Contingency Awareness in Pavlovian Fear Conditioning.Cognitive, affective & behavioral neuroscience · 2021Article
- Article
- Evoking network profiles of the dorsal anterior cingulate in youth with Obsessive-Compulsive Disorder during motor control and working memory.Journal of psychiatric research · 2021Article
- Network Path Convergence Shapes Low-Level Processing in the Visual Cortex.Frontiers in systems neuroscience · 2021Article
- Disordered directional brain network interactions during learning dynamics in schizophrenia revealed by multivariate autoregressive models.Human brain mapping · 2020Article
- ALE meta-analysis, its role in node identification and the effects on estimates of local network organization.Brain structure & function · 2020Article
- Cognition and Reward Circuits in Schizophrenia: Synergistic, Not Separate.Biological psychiatry · 2020Review
- The Neurocircuitry Underlying Additive Effects of Safety Instruction on Extinction Learning.Frontiers in behavioral neuroscience · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Schizophrenia has long been considered one of the most intractable psychiatric conditions. Its etiology is likely polygenic, and its symptoms are hypothesized to result from complex aberrations in network-level neuronal activity. While easily identifiable by psychiatrists based on clear behavioral signs, the biological substrate of the disease remains poorly understood. Here, we discuss current trends and key concepts in the theoretical framework surrounding schizophrenia and critically discuss network approaches applied to neuroimaging data that can illuminate the correlates of the illness. We first consider a theoretical framework encompassing basic principles of brain function ranging from neural units toward perspectives of network function. Next, we outline the strengths and limitations of several fMRI-based analytic methodologies for assessing in vivo brain network function, including undirected and directed functional connectivity and effective connectivity. The underlying assumptions of each approach for modeling fMRI data are treated in some quantitative detail, allowing for assessment of the utility of each for generating inferences about brain networks relevant to schizophrenia. fMRI and the analyses of fMRI signals provide a limited, yet vibrant platform from which to test specific hypotheses about brain network dysfunction in schizophrenia. Carefully considered and applied connectivity measures have the power to illuminate loss or change of function at the network level, thus providing insight into the underlying neurobiology which gives rise to the emergent symptoms seen in the altered cognition and behavior of schizophrenia patients.
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.