Preprint FZJ-2022-01002

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Behavioral, Anatomical and Genetic Convergence of Affect and Cognition in Superior Frontal Cortex

 ;  ;  ;  ;  ;  ;

2021

Please use a persistent id in citations:

Abstract: Affective experience and cognitive abilities are key human traits that are interrelated in behavior and brain. Individual variation of affective and cognitive traits, as well as brain structure, has been shown to partly underlie genetic effects. However, to what extent affect and cognition have a shared genetic relationship with local brain structure is incompletely understood. Here we studied phenotypic and genetic correlations of cognitive and affective traits in behavior and brain structure (cortical thickness, surface area and subcortical volumes) in the twin-based Human Connectome Project sample (N = 1091). Both affective and cognitive trait scores were highly heritable and showed significant phenotypic correlation on the behavioral level. Cortical thickness in the left superior frontal cortex showed a phenotypic association with both affect and cognition, which was driven by shared genetic effects. Quantitative functional decoding of this region yielded associations with cognitive and emotional functioning. This study provides a multi-level approach to study the association between affect and cognition and suggests a convergence of both in superior frontal cortical thickness.


Contributing Institute(s):
  1. Gehirn & Verhalten (INM-7)
Research Program(s):
  1. 5251 - Multilevel Brain Organization and Variability (POF4-525) (POF4-525)

Appears in the scientific report 2021
Database coverage:
Creative Commons Attribution-NonCommercial CC BY-NC 4.0 ; OpenAccess
Click to display QR Code for this record

The record appears in these collections:
Institutssammlungen > INM > INM-7
Dokumenttypen > Berichte > Vorabdrucke
Workflowsammlungen > Öffentliche Einträge
Publikationsdatenbank
Open Access

 Datensatz erzeugt am 2022-01-21, letzte Änderung am 2022-01-31


OpenAccess:
Volltext herunterladen PDF
Externer link:
Volltext herunterladenFulltext by OpenAccess repository
Dieses Dokument bewerten:

Rate this document:
1
2
3
 
(Bisher nicht rezensiert)