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Brain dynamics reflecting an intra-network brain state is associated with increased posttraumatic stress symptoms in the early aftermath of trauma.

Mohammad SendiZening FuNathaniel G HarnettSanne J H van RooijVictor VergaraDiego A PizzagalliNikolaos P DaskalakisStacey HouseFrancesca BeaudoinXinming AnThomas C NeylanGari CliffordTanja JovanovicSarah D LinnstaedtLaura T GermineKenneth BollenScott RauchJohn P HaranAlan B StorrowChristopher LewandowskiPaul I MuseyPhyllis HendrySophia SheikhChristopher JonesBrittany E PunchesRobert SworNina GentileVishnu MurtyLauren HudakJose L PascualMark SeamonErica HarrisAnna ChangClaire PearsonDavid PeakRoland MerchantRobert DomeierNiels RathlevBrian O'NeilPaulina SergotLeon D SanchezSteven E BruceJohn SheridanSteven HarteRonald C KesslerKarestan C KoenenSamuel A McLeanJennifer S StevenVince D CalhounKerry James Ressler
Published in: Research square (2024)
This study examines the association between brain dynamic functional network connectivity (dFNC) and current/future posttraumatic stress (PTS) symptom severity, and the impact of sex on this relationship. By analyzing 275 participants' dFNC data obtained ~2 weeks after trauma exposure, we noted that brain dynamics of an inter-network brain state link negatively with current (r=-0.179, p corrected = 0.021) and future (r=-0.166, p corrected = 0.029) PTS symptom severity. Also, dynamics of an intra-network brain state correlated with future symptom intensity (r = 0.192, p corrected = 0.021). We additionally observed that the association between the network dynamics of the inter-network brain state with symptom severity is more pronounced in females (r=-0.244, p corrected = 0.014). Our findings highlight a potential link between brain network dynamics in the aftermath of trauma with current and future PTSD outcomes, with a stronger protective effect of inter-network brain states against symptom severity in females, underscoring the importance of sex differences.
Keyphrases
  • resting state
  • white matter
  • functional connectivity
  • cerebral ischemia
  • multiple sclerosis
  • current status
  • electronic health record
  • subarachnoid hemorrhage
  • deep learning
  • sleep quality
  • posttraumatic stress disorder