Brain structure and function link to variation in biobehavioral dimensions across the psychopathological continuum

Abstract

In line with the Research Domain Criteria (RDoC), we set out to investigate the brain basis of psychopathology within a transdiagnostic, dimensional framework. We performed an integrative structural-functional linked independent component analysis, to study the relationship between brain measures and a broad set of biobehavioral measures in a sample (n = 295) with both mentally healthy participants and patients with diverse non-psychotic psychiatric disorders (i.e. mood, anxiety, addiction, and neurodevelopmental disorders). To get a more complete understanding of the underlying brain mechanisms, we used gray and white matter measures for brain structure and both resting-state and stress scans for brain function. The results emphasize the importance of the executive control network (ECN) during the functional scans, for the understanding of transdiagnostic symptom dimensions. The connectivity between the ECN and the frontoparietal network in the aftermath of stress, was correlated with symptom dimensions across both the cognitive and negative valence domains, and also with various other health related biological and behavioral measures. Finally, we identified a multimodal component that was specifically associated with the diagnosis of autism spectrum disorder (ASD). The involvement of the default mode network, precentral gyrus and thalamus across the different modalities of this component, may reflect the broad functional domains that may be affected in ASD, like theory of mind, motor problems and sensitivity to sensory stimuli respectively. Taken together, the findings from our extentensive, exploratory analyses emphasize the importance of a dimensional and more integrative approach for getting a better understanding of the brain basis of psychopathology.

Data availability

All data analysed in this study is stored in the institutional repository of the Donders Institute for Brain, Cognition and Behavior, and is available on request in line with the institutional ethics guidelines (https://data.donders.ru.nl/). Relevant data generated by the analyses we performed are included in the manuscript and supporting files. The linked ICA decomposition was performed using the Linked ICA toolbox, which was made available earlier by Llera and colleagues (2019) (https://github.com/allera/Llera_elife_2019_1/tree/master/matlab_flica_toolbox).

Article and author information

Author details

  1. Jasper van Oort

    Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
    For correspondence
    jasper.vanoort@radboudumc.nl
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2281-0349
  2. Alberto Llera

    Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, Netherlands
    Competing interests
    The authors declare that no competing interests exist.
  3. Nils Kohn

    Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, Netherlands
    Competing interests
    The authors declare that no competing interests exist.
  4. Ting Mei

    Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, Netherlands
    Competing interests
    The authors declare that no competing interests exist.
  5. Rose M Collard

    Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
    Competing interests
    The authors declare that no competing interests exist.
  6. Fleur A Duyser

    Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
    Competing interests
    The authors declare that no competing interests exist.
  7. Janna N Vrijsen

    Department of Cognitive Neuroscience, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
    Competing interests
    The authors declare that no competing interests exist.
  8. Christian F Beckmann

    Department of Cognitive Neuroscience, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
    Competing interests
    The authors declare that no competing interests exist.
  9. Aart H Schene

    Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
    Competing interests
    The authors declare that no competing interests exist.
  10. Guillén Fernández

    Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
    Competing interests
    The authors declare that no competing interests exist.
  11. Indira Tendolkar

    Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
    Competing interests
    The authors declare that no competing interests exist.
  12. Philip FP van Eijndhoven

    Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands
    Competing interests
    The authors declare that no competing interests exist.

Funding

No external funding was received for this work.

Ethics

Human subjects: The MIND-Set study has been approved by the Ethical Review Board of the Radboudumc and all participants signed informed consent before participation.

Copyright

© 2023, van Oort et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 913
    views
  • 122
    downloads
  • 0
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Jasper van Oort
  2. Alberto Llera
  3. Nils Kohn
  4. Ting Mei
  5. Rose M Collard
  6. Fleur A Duyser
  7. Janna N Vrijsen
  8. Christian F Beckmann
  9. Aart H Schene
  10. Guillén Fernández
  11. Indira Tendolkar
  12. Philip FP van Eijndhoven
(2023)
Brain structure and function link to variation in biobehavioral dimensions across the psychopathological continuum
eLife 12:e85006.
https://doi.org/10.7554/eLife.85006

Share this article

https://doi.org/10.7554/eLife.85006

Further reading

    1. Neuroscience
    Yiting Li, Wenqu Yin ... Baoming Li
    Research Article

    Time estimation is an essential prerequisite underlying various cognitive functions. Previous studies identified ‘sequential firing’ and ‘activity ramps’ as the primary neuron activity patterns in the medial frontal cortex (mPFC) that could convey information regarding time. However, the relationship between these patterns and the timing behavior has not been fully understood. In this study, we utilized in vivo calcium imaging of mPFC in rats performing a timing task. We observed cells that showed selective activation at trial start, end, or during the timing interval. By aligning long-term time-lapse datasets, we discovered that sequential patterns of time coding were stable over weeks, while cells coding for trial start or end showed constant dynamism. Furthermore, with a novel behavior design that allowed the animal to determine individual trial interval, we were able to demonstrate that real-time adjustment in the sequence procession speed closely tracked the trial-to-trial interval variations. And errors in the rats’ timing behavior can be primarily attributed to the premature ending of the time sequence. Together, our data suggest that sequential activity maybe a stable neural substrate that represents time under physiological conditions. Furthermore, our results imply the existence of a unique cell type in the mPFC that participates in the time-related sequences. Future characterization of this cell type could provide important insights in the neural mechanism of timing and related cognitive functions.

    1. Neuroscience
    Rossella Conti, Céline Auger
    Research Article

    Granule cells of the cerebellum make up to 175,000 excitatory synapses on a single Purkinje cell, encoding the wide variety of information from the mossy fibre inputs into the cerebellar cortex. The granule cell axon is made of an ascending portion and a long parallel fibre extending at right angles, an architecture suggesting that synapses formed by the two segments of the axon could encode different information. There are controversial indications that ascending axon (AA) and parallel fibre (PF) synapse properties and modalities of plasticity are different. We tested the hypothesis that AA and PF synapses encode different information, and that the association of these distinct inputs to Purkinje cells might be relevant to the circuit and trigger plasticity, similar to the coincident activation of PF and climbing fibre inputs. Here, by recording synaptic currents in Purkinje cells from either proximal or distal granule cells (mostly AA and PF synapses, respectively), we describe a new form of associative plasticity between these two distinct granule cell inputs. We show for the first time that synchronous AA and PF repetitive train stimulation, with inhibition intact, triggers long-term potentiation (LTP) at AA synapses specifically. Furthermore, the timing of the presentation of the two inputs controls the outcome of plasticity and induction requires NMDAR and mGluR1 activation. The long length of the PFs allows us to preferentially activate the two inputs independently, and despite a lack of morphological reconstruction of the connections, these observations reinforce the suggestion that AA and PF synapses have different coding capabilities and plasticity that is associative, enabling effective association of information transmitted via granule cells.