ArticleBrain topography2021
Effective Connectivity of the Hippocampus Can Differentiate Patients with Schizophrenia from Healthy Controls: A Spectral DCM Approach.
Article in Brain topography, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
9 citing papers in PubMed.
- Central autonomic network-heart interplay in anorexia nervosa. A cross-spectral dynamic causal modeling study.NeuroImage. Clinical · 2026Article
- Cross-cohort replicable resting-state functional connectivity in predicting symptoms and cognition of schizophrenia.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
- Magnetoencephalographic detection of synchronized epileptic activity between the hippocampus and insular cortex.Epilepsy & behavior reports · 2024Article
- The double-edged sword of the hippocampus-ventromedial prefrontal cortex resting-state connectivity in stress susceptibility and resilience: A prospective study.Neurobiology of stress · 2023Article
- Hippocampal Network Dysfunction in Early Psychosis: A 2-Year Longitudinal Study.Biological psychiatry global open science · 2023Article
- Dysconnection and cognition in schizophrenia: A spectral dynamic causal modeling study.Human brain mapping · 2023Article
- Resting state effective connectivity abnormalities of the Papez circuit and cognitive performance in multiple sclerosis.Molecular psychiatry · 2022Article
- Differences in visually induced MEG oscillations reflect differences in deep cortical layer activity.Communications biology · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
We applied spectral dynamic causal modelling (Friston et al. in Neuroimage 94:396-407. https://doi.org/10.1016/j.neuroimage.2013.12.009 , 2014) to analyze the effective connectivity differences between the nodes of three resting state networks (i.e. default mode network, salience network and dorsal attention network) in a dataset of 31 male healthy controls (HC) and 25 male patients with a diagnosis of schizophrenia (SZ). Patients showed increased directed connectivity from the left hippocampus (LHC) to the: dorsal anterior cingulate cortex (DACC), right anterior insula (RAI), left frontal eye fields and the bilateral inferior parietal sulcus (LIPS & RIPS), as well as increased connectivity from the right hippocampus (RHC) to the: bilateral anterior insula (LAI & RAI), right frontal eye fields and RIPS. In SZ, negative symptoms predicted the connectivity strengths from the LHC to: the DACC, the left inferior parietal sulcus (LIPAR) and the RHC, while positive symptoms predicted the connectivity strengths from the LHC to the LIPAR and from the RHC to the LHC. These results reinforce the crucial role of hippocampus dysconnectivity in SZ pathology and its potential as a biomarker of disease severity.
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