4.5 Article

The medial temporal lobe structure and function support positive affect

Journal

NEUROPSYCHOLOGIA
Volume 176, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neuropsychologia.2022.108373

Keywords

Positive affect; Multivariate pattern analysis; VBM; Hippocampus; Perirhinal cortex

Funding

  1. National Natural Science Founda-tion of China
  2. Humanities and Social Science Fund Project of the Ministry of Education
  3. Natural Science Foundation of Tianjin City
  4. [32000786]
  5. [31800920]
  6. [20YJC190018]
  7. [20JCYBJC00920]

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Positive affect (PA) is associated with individuals' psychological and physical health, as well as their cognitive processes. This study investigates the volume and functional characteristics of the medial temporal lobe (MTL) and its subfields in relation to individual variability in PA. The results reveal that the prefrontal-occipital and limbic systems are associated with variability in PA at the whole-brain level, and the subfield of the perirhinal cortex (PRC) in the MTL plays a critical role in the formation of PA. Additionally, the functional connectivity between the PRC and the fronto-parietal-occipital system predicts PA.
Positive affect (PA) is not only associated with individuals' psychological and physical health, but also their cognitive processes. However, whether medial temporal lobe (MTL) and its subfields' volume/functional con-nectivity can explain individual variability in PA remains understudied. We investigated the morphological (i.e., grey matter volume; GMV) and functional characteristics (i.e., resting-state functional connectivity; rsFC) of PA with a combination of univariate and multivariate pattern analyses (MVPA) using a large sample of participants (n = 321). We simultaneously collected the T1-weighted (n = 321), high-resolution MTL T2-weighted, and resting-state functional imaging data (n = 209). The MTL and its subfields' volumes, including the CA1, CA2+3, DG, and subiculum (SUB), perirhinal cortex (PRC), and parahippocampus (PHC), were extracted using an automatic segmentation of hippocampal subfields (ASHS) software. The morphological results revealed that GMVs in the prefrontal-occipital and limbic (i.e., hippocampus, amygdala, and PHC) systems were associated with variability in PA at the whole-brain level using MVPA but not univariate analysis. Linear regression results further revealed a positive association between the MTL subfields' GMV, especially for the right PRC, and PA after controlling for several covariates. PRC-seed-based rsFC analyses further revealed that its couplings with the fronto-parietal-occipital system predicted PA in both univariate and MVPA. These findings provide novel insights into the neuroanatomical and functional substrates underlying human PA trait. Findings also suggest critical contributions of the MTL and its subfield of the perirhinal cortex, but not hippocampal subfields, as well as its functional coupling with the fronto-parietal control-system on the formation of PA.

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