Open AccessThe differential association between local neurotransmitter levels and whole‐brain resting‐state functional connectivity in two distinct cingulate cortex subregions
Author(s) -
Li Meng,
Danyeli Lena Vera,
Colic Lejla,
Wagner Gerd,
Smesny Stefan,
Chand Tara,
Di Xin,
Biswal Bharat B.,
Kaufmann Jörn,
Reichenbach Jürgen R.,
Speck Oliver,
Walter Martin,
Sen Zümrüt Duygu
Publication year - 2022
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.25819
Subject(s) - anterior cingulate cortex , neuroscience , cingulate cortex , neurotransmitter , psychology , functional magnetic resonance imaging , resting state fmri , glutamate receptor , gabaergic , glutamatergic , medicine , cognition , receptor , central nervous system , inhibitory postsynaptic potential
Reproducible resting‐state functional connectivity (rsFC) patterns and their alterations play an increasing role in neuropsychiatric research. Studies that limit the analysis of metabolites and rsFC strengths to a predefined canonical network suggest that the rsFC strength positively correlates with the local glutamate (Glu) levels and negatively correlates with the gamma‐aminobutyric acid (GABA) levels. The contribution of regional neurotransmitter activity to rsFC strengths from a given seed to the whole‐brain remains unclear. In this study, 121 healthy participants (50 female/71 male) underwent multimodal resting‐state functional magnetic resonance imaging (rsfMRI) and magnetic resonance spectroscopy (MRS) at 7 T, allowing for acquisition of multiple, neuroanatomically well‐defined MRS voxels in the same session. We examined the association between rsFC and local neurotransmitter levels in the pregenual anterior cingulate cortex (pgACC) and the anterior mid‐cingulate cortex (aMCC) by varying rsFC strengths at the whole‐brain level. Our results showed that both glutamatergic and GABAergic edge weights (defined as the across‐participants partial correlation coefficients between the local metabolite levels and the rsFC of the seed region to each target parcel) were positively correlated with the rsFC strengths in the pgACC and negatively correlated with the rsFC strengths in the aMCC. The region‐dependent directionality of associations may indicate that region‐specific microscale properties, such as neurotransmitter receptor architecture, modulate the interaction between brain regions at the macroscale level.