Literature DB >> 31086992

Wired to be connected? Links between mobile technology engagement, intertemporal preference and frontostriatal white matter connectivity.

Henry H Wilmer1, William H Hampton1,2, Thomas M Olino1, Ingrid R Olson1,2, Jason M Chein1,2.   

Abstract

Youth around the world are increasingly dependent on social media and mobile smartphones. This phenomenon has generated considerable speculation regarding the impacts of extensive technology engagement on cognitive development and how these habits might be 'rewiring' the brains of those growing up in a heavily digital era. In an initial study conducted with healthy young adults, we utilized behavioral and self-report measures to demonstrate associations between smartphone usage habits (assessed both subjectively and objectively) and individual differences in intertemporal preference and reward sensitivity. In a follow-up neuroimaging study, we used probabilistic tractography of diffusion-weighted images to determine how these individual difference characteristics might relate to variation in white matter connectivity, focusing on two dissociable pathways-one connecting the ventral striatum (vSTR) with the ventromedial prefrontal cortex (vmPFC) and the other connecting the vSTR with the dorsolateral prefrontal cortex (dlPFC). Regression analyses revealed opposing patterns of association, with stronger vSTR-vmPFC connectivity corresponding to increased mobile technology engagement but stronger vSTR-dlPFC connectivity corresponding to decreased engagement. Taken together, the results of these two studies provide important foundational evidence for both neural and cognitive factors that can be linked to how individuals engage with mobile technology.
© The Author(s) 2019. Published by Oxford University Press.

Entities:  

Keywords:  connectivity; delay discounting; diffusion imaging; impulsivity; mobile technology; reward; smartphones; white matter

Mesh:

Year:  2019        PMID: 31086992      PMCID: PMC6523422          DOI: 10.1093/scan/nsz024

Source DB:  PubMed          Journal:  Soc Cogn Affect Neurosci        ISSN: 1749-5016            Impact factor:   3.436


  53 in total

1.  Abstract reward and punishment representations in the human orbitofrontal cortex.

Authors:  J O'Doherty; M L Kringelbach; E T Rolls; J Hornak; C Andrews
Journal:  Nat Neurosci       Date:  2001-01       Impact factor: 24.884

Review 2.  Functional specialization within the dorsolateral prefrontal cortex: a review of anatomical and physiological studies of non-human primates.

Authors:  Eiji Hoshi
Journal:  Neurosci Res       Date:  2005-11-28       Impact factor: 3.304

3.  Cognitive control in media multitaskers.

Authors:  Eyal Ophir; Clifford Nass; Anthony D Wagner
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-24       Impact factor: 11.205

4.  Facebook usage on smartphones and gray matter volume of the nucleus accumbens.

Authors:  Christian Montag; Alexander Markowetz; Konrad Blaszkiewicz; Ionut Andone; Bernd Lachmann; Rayna Sariyska; Boris Trendafilov; Mark Eibes; Julia Kolb; Martin Reuter; Bernd Weber; Sebastian Markett
Journal:  Behav Brain Res       Date:  2017-04-22       Impact factor: 3.332

5.  The Power of the Like in Adolescence: Effects of Peer Influence on Neural and Behavioral Responses to Social Media.

Authors:  Lauren E Sherman; Ashley A Payton; Leanna M Hernandez; Patricia M Greenfield; Mirella Dapretto
Journal:  Psychol Sci       Date:  2016-05-31

6.  The role of the ventromedial prefrontal cortex in abstract state-based inference during decision making in humans.

Authors:  Alan N Hampton; Peter Bossaerts; John P O'Doherty
Journal:  J Neurosci       Date:  2006-08-09       Impact factor: 6.167

7.  Delay discounting mediates the association between posterior insular cortex volume and social media addiction symptoms.

Authors:  Ofir Turel; Qinghua He; Damien Brevers; Antoine Bechara
Journal:  Cogn Affect Behav Neurosci       Date:  2018-08       Impact factor: 3.282

8.  Frontostriatal white matter integrity mediates adult age differences in probabilistic reward learning.

Authors:  Gregory R Samanez-Larkin; Sara M Levens; Lee M Perry; Robert F Dougherty; Brian Knutson
Journal:  J Neurosci       Date:  2012-04-11       Impact factor: 6.167

9.  Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey.

Authors:  Chad J Donahue; Stamatios N Sotiropoulos; Saad Jbabdi; Moises Hernandez-Fernandez; Timothy E Behrens; Tim B Dyrby; Timothy Coalson; Henry Kennedy; Kenneth Knoblauch; David C Van Essen; Matthew F Glasser
Journal:  J Neurosci       Date:  2016-06-22       Impact factor: 6.167

10.  Delay discounting and frontostriatal fiber tracts: a combined DTI and MTR study on impulsive choices in healthy young adults.

Authors:  Jiska S Peper; René C W Mandl; Barbara R Braams; Erik de Water; Annemieke C Heijboer; P Cédric M P Koolschijn; Eveline A Crone
Journal:  Cereb Cortex       Date:  2012-06-12       Impact factor: 5.357

View more
  3 in total

1.  A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use.

Authors:  Douglas A Parry; Brittany I Davidson; Craig J R Sewall; Jacob T Fisher; Hannah Mieczkowski; Daniel S Quintana
Journal:  Nat Hum Behav       Date:  2021-05-17

2.  Social Cognition and Schizophrenia: Unresolved Issues and New Challenges in a Maturing Field of Research.

Authors:  Anja Vaskinn; William P Horan
Journal:  Schizophr Bull       Date:  2020-04-10       Impact factor: 9.306

Review 3.  Delay Discounting in Established and Proposed Behavioral Addictions: A Systematic Review and Meta-Analysis.

Authors:  Sarah Weinsztok; Sarah Brassard; Iris Balodis; Laura E Martin; Michael Amlung
Journal:  Front Behav Neurosci       Date:  2021-11-26       Impact factor: 3.558

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.