Journal Article

FZJ-2020-04195

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Localized prediction of glutamate from whole-brain functional connectivity of the pregenual anterior cingulate cortex

Martens, L. (Corresponding author) ; Kroemer, N. B. ; Teckentrup, V. ; Colic, L. ; Palomero-Gallagher, N.FZJ* ; Li, M.

2020
Soc. Washington, DC

This record in other databases:      

Please use a persistent id in citations: http://hdl.handle.net/2128/26382  doi:10.1523/JNEUROSCI.0897-20.2020

Abstract: Local measures of neurotransmitters provide crucial insights into neurobiological changes underlying altered functional connectivity in psychiatric disorders. However, noninvasive 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 in a sample of 88 human participants (35 females), using complementary machine learning approaches. Functional connectivity profiles of pgACC area p32 predicted pgACC glutamate better than chance (R2 = 0.324) and explained more variance compared with 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.

---

Contributing Institute(s):

1. Strukturelle und funktionelle Organisation des Gehirns (INM-1)

Research Program(s):

1. 571 - Connectivity and Activity (POF3-571) (POF3-571)

Appears in the scientific report 2020

---

Database coverage:
; ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; PubMed Central ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection

---