The human brain is characterized by highly dynamic patterns of functional connectivity. However, it is unknown whether this time-variant 'connectome' is related to the individual differences in the behavioural and cognitive traits described in the five-factor model of personality. To answer this question, inter-network time-variant connectivity was computed in n = 818 healthy people via a dynamical conditional correlation model. Next, network dynamicity was quantified throughout an ad-hoc measure (T-index) and the generalizability of the multi-variate associations between personality traits and network dynamicity was assessed using a train/test split approach. Conscientiousness, reflecting enhanced cognitive and emotional control, was the sole trait linked to stationary connectivity across several circuits such as the default mode and prefronto-parietal network. The stationarity in the 'communication' across large-scale networks offers a mechanistic description of the capacity of conscientious people to 'protect' non-immediate goals against interference over-time. This study informs future research aiming at developing more realistic models of the brain dynamics mediating personality differences.

Passamonti, L., Riccelli, R., Indovina, I., Duggento, A., Terracciano, A., Toschi, N. (2019). Time-resolved connectome of the five-factor model of personality. SCIENTIFIC REPORTS, 9, 1-12 [10.1038/s41598-019-51469-2].

Time-resolved connectome of the five-factor model of personality

Indovina I.;Duggento A.;Toschi N.
2019-01-01

Abstract

The human brain is characterized by highly dynamic patterns of functional connectivity. However, it is unknown whether this time-variant 'connectome' is related to the individual differences in the behavioural and cognitive traits described in the five-factor model of personality. To answer this question, inter-network time-variant connectivity was computed in n = 818 healthy people via a dynamical conditional correlation model. Next, network dynamicity was quantified throughout an ad-hoc measure (T-index) and the generalizability of the multi-variate associations between personality traits and network dynamicity was assessed using a train/test split approach. Conscientiousness, reflecting enhanced cognitive and emotional control, was the sole trait linked to stationary connectivity across several circuits such as the default mode and prefronto-parietal network. The stationarity in the 'communication' across large-scale networks offers a mechanistic description of the capacity of conscientious people to 'protect' non-immediate goals against interference over-time. This study informs future research aiming at developing more realistic models of the brain dynamics mediating personality differences.
2019
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore FIS/07 - FISICA APPLICATA (A BENI CULTURALI, AMBIENTALI, BIOLOGIA E MEDICINA)
Settore PHYS-06/A - Fisica per le scienze della vita, l'ambiente e i beni culturali
English
Passamonti, L., Riccelli, R., Indovina, I., Duggento, A., Terracciano, A., Toschi, N. (2019). Time-resolved connectome of the five-factor model of personality. SCIENTIFIC REPORTS, 9, 1-12 [10.1038/s41598-019-51469-2].
Passamonti, L; Riccelli, R; Indovina, I; Duggento, A; Terracciano, A; Toschi, N
Articolo su rivista
File in questo prodotto:
File Dimensione Formato  
passamonti2019time-resolved.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 2.19 MB
Formato Adobe PDF
2.19 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/233356
Citazioni
  • ???jsp.display-item.citation.pmc??? 4
  • Scopus 9
  • ???jsp.display-item.citation.isi??? 9
social impact