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Localized prediction of glutamate from whole-brain functional connectivity of the pregenual anterior cingulate cortex

Louise Martens, View ORCID ProfileNils B. Kroemer, View ORCID ProfileVanessa Teckentrup, Lejla Colic, View ORCID ProfileNicola Palomero-Gallagher, Meng Li, Martin Walter
doi: https://doi.org/10.1101/2020.02.26.966259
Louise Martens
1Max Planck Institute for Biological Cybernetics, Tübingen, Germany
2Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
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Nils B. Kroemer
2Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
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Vanessa Teckentrup
2Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
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  • ORCID record for Vanessa Teckentrup
Lejla Colic
3Clinical Affective Neuroimaging Laboratory, Magdeburg, Germany
4Leibniz Institute for Neurobiology, Magdeburg, Germany
5Department of Psychiatry, Yale School of Medicine, New Haven, CT
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Nicola Palomero-Gallagher
6Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany
7Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen, Aachen, Germany
8C. & O. Vogt Institute for Brain Research, Heinrich-Heine-University, 40225 Düsseldorf, Germany
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Meng Li
10Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07743 Jena, Germany
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Martin Walter
1Max Planck Institute for Biological Cybernetics, Tübingen, Germany
2Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
3Clinical Affective Neuroimaging Laboratory, Magdeburg, Germany
4Leibniz Institute for Neurobiology, Magdeburg, Germany
9Center for Behavioral Brain Sciences, Magdeburg, Germany
10Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07743 Jena, Germany
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  • For correspondence: martin.walter@med.uni-jena.de
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Abstract

Local measures of neurotransmitters provide crucial insights into neurobiological changes underlying altered functional connectivity in psychiatric disorders. However, non-invasive neuroimaging techniques such as magnetic resonance spectroscopy (MRS) may cover anatomically and functionally distinct areas, such as p32 and p24 of the pregenual anterior cingulate cortex (pgACC). Here, we aimed to overcome this low spatial specificity of MRS by predicting local glutamate and GABA based on functional characteristics and neuroanatomy, using complementary machine learning approaches. Functional connectivity profiles of pgACC area p32 predicted pgACC glutamate better than chance (R2 = .324) and explained more variance compared to area p24 using both elastic net and partial least squares regression. In contrast, GABA could not be robustly predicted. To summarize, machine learning helps exploit the high resolution of fMRI to improve the interpretation of local neurometabolism. Our augmented multimodal imaging analysis can deliver novel insights into neurobiology by using complementary information.

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Posted February 27, 2020.
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Localized prediction of glutamate from whole-brain functional connectivity of the pregenual anterior cingulate cortex
Louise Martens, Nils B. Kroemer, Vanessa Teckentrup, Lejla Colic, Nicola Palomero-Gallagher, Meng Li, Martin Walter
bioRxiv 2020.02.26.966259; doi: https://doi.org/10.1101/2020.02.26.966259
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Localized prediction of glutamate from whole-brain functional connectivity of the pregenual anterior cingulate cortex
Louise Martens, Nils B. Kroemer, Vanessa Teckentrup, Lejla Colic, Nicola Palomero-Gallagher, Meng Li, Martin Walter
bioRxiv 2020.02.26.966259; doi: https://doi.org/10.1101/2020.02.26.966259

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