Your browser doesn't support javascript.
loading
Early Infant Prefrontal Cortical Microstructure Predicts Present and Future Emotionality.
Zhang, Yicheng; Banihashemi, Layla; Versace, Amelia; Samolyk, Alyssa; Taylor, Megan; English, Gabrielle; Schmithorst, Vanessa J; Lee, Vincent K; Stiffler, Richelle; Aslam, Haris; Panigrahy, Ashok; Hipwell, Alison E; Phillips, Mary L.
Afiliação
  • Zhang Y; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: yiz170@pitt.edu.
  • Banihashemi L; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Versace A; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Samolyk A; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Taylor M; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • English G; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Schmithorst VJ; Department of Pediatric Radiology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
  • Lee VK; Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Pediatric Radiology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
  • Stiffler R; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Aslam H; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Panigrahy A; Department of Pediatric Radiology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
  • Hipwell AE; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Phillips ML; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Biol Psychiatry ; 2024 Apr 09.
Article em En | MEDLINE | ID: mdl-38604525
ABSTRACT

BACKGROUND:

High levels of infant negative emotionality (NE) and low positive emotionality (PE) predict future emotional and behavioral problems. The prefrontal cortex (PFC) supports emotional regulation, with each PFC subregion specializing in specific emotional processes. Neurite orientation dispersion and density imaging estimates microstructural integrity and myelination via the neurite density index (NDI) and dispersion via the orientation dispersion index (ODI), with potential to more accurately evaluate microstructural alterations in the developing brain. Yet, no study has used these indices to examine associations between PFC microstructure and concurrent or developing infant emotionality.

METHODS:

We modeled PFC subregional NDI and ODI at 3 months with caregiver-reported infant NE and PE at 3 months (n = 61) and at 9 months (n = 50), using multivariable and subsequent bivariate regression models.

RESULTS:

The most robust statistically significant findings were positive associations among 3-month rostral anterior cingulate cortex (ACC) ODI and caudal ACC NDI and concurrent NE, a positive association between 3-month lateral orbitofrontal cortex ODI and prospective NE, and a negative association between 3-month dorsolateral PFC ODI and concurrent PE. Multivariate models also revealed that other PFC subregional microstructure measures, as well as infant and caregiver sociodemographic and clinical factors, predicted infant 3- and 9-month NE and PE.

CONCLUSIONS:

Greater NDI and ODI, reflecting greater microstructural complexity, in PFC regions supporting salience perception (rostral ACC), decision making (lateral orbitofrontal cortex), action selection (caudal ACC), and attentional processes (dorsolateral PFC) might result in greater integration of these subregions with other neural networks and greater attention to salient negative external cues, thus higher NE and/or lower PE. These findings provide potential infant cortical markers of future psychopathology risk.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article