The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Media multitasking is associated with distractibility and increased prefrontal activity in adolescents and young adults.
Open accessAbstract
The current generation of young people indulges in more media multitasking behavior (e.g., instant messaging while watching videos) in their everyday lives than older generations. Concerns have been raised about how this might affect their attentional functioning, as previous studies have indicated that extensive media multitasking in everyday life may be associated with decreased attentional control. In the current study, 149 adolescents and young adults (aged 13-24years) performed speech-listening and reading tasks that required maintaining attention in the presence of distractor stimuli in the other modality or dividing attention between two concurrent tasks. Brain activity during task performance was measured using functional magnetic resonance imaging (fMRI). We studied the relationship between self-reported daily media multitasking (MMT), task performance and brain activity during task performance. The results showed that in the presence of distractor stimuli, a higher MMT score was associated with worse performance and increased brain activity in right prefrontal regions. The level of performance during divided attention did not depend on MMT. This suggests that daily media multitasking is associated with behavioral distractibility and increased recruitment of brain areas involved in attentional and inhibitory control, and that media multitasking in everyday life does not translate to performance benefits in multitasking in laboratory settings.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“numerous studies showed that media multitasking behavior could detrimentally affect cognitive ability, such as attention and memory (7–9).”
From Media multitasking, depression, and anxiety of college students: Serial mediating effects of attention control and negative information attentional bias (2022) · cites this paper as [9]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Digital Natives, Digital Immigrants Part 1
Prensky, M. (2001) · On the Horizon · doi:10.1108/10748120110424816 · Cited by 11,104
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Cognitive and emotional influences in anterior cingulate cortex
Bush, G., Luu, P., & Posner, M. I. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01483-2 · Cited by 6,259
Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604 · cited 2×
“It is not surprising to find that the pattern of prefrontal recruitment in response to the most difficult task condition was not identical between the 13-14-year-olds and older participants, since it is well know that prefrontal regions continue to undergo significant neural maturation during early adolescence (Gogtay…”
BackgroundResultDigital Natives, Digital Immigrants Part 2: Do They Really Think Differently?
Prensky, M. (2001) · On the Horizon · doi:10.1108/10748120110424843 · Cited by 4,035
Diary Methods: Capturing Life as it is Lived
Bolger, N., Davis, A., & Rafaeli, E. (2003) · Annual Review of Psychology · doi:10.1146/annurev.psych.54.101601.145030 · Cited by 3,843
The Cognitive Failures Questionnaire (CFQ) and its correlates.
Broadbent, D., Cooper, P. F., Fitzgerald, P. H., & Parkes, K. (1982) · British Journal of Clinical Psychology · doi:10.1111/j.2044-8260.1982.tb01421.x · Cited by 2,967
Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature
Destrieux, C., Fischl, B., Dale, A., & Halgren, E. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.010 · Cited by 2,956
Within-subject template estimation for unbiased longitudinal image analysis
Reuter, M., Schmansky, N. J., Rosas, H. D., & Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.084 · Cited by 2,356
Generation M2: Media in the Lives of 8- to 18-Year-Olds
Foehr, U. G., Rideout, V. J., & Roberts, D. F. (2010) · Cited by 2,197
Cited by
Sorted by citations
Wilmer, H. H., Sherman, L. E., & Chein, J. M. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00605 · Cited by 736
The “online brain”: How the Internet may be changing our cognition
Firth, J., Torous, J., Stubbs, B., Firth, J. A., Steiner, G. Z., Smith, L., Alvarez‐Jimenez, M., Gleeson, J., Vancampfort, D., Armitage, C. J., et al. (2019) · World Psychiatry · doi:10.1002/wps.20617 · Cited by 694
Huang, C. L., Luo, Y.-F., Yang, S. C., Lu, C., & Chen, A. (2019) · Journal of Educational Computing Research · doi:10.1177/0735633119867422 · Cited by 283
Minds and brains of media multitaskers: Current findings and future directions
Uncapher, M. R., & Wagner, A. D. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1611612115 · Cited by 217
Social media usage and development of psychiatric disorders in childhood and adolescence: a review
Cataldo, I., Lepri, B., Neoh, M. J. Y., & Esposito, G. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.508595 · Cited by 186
Metadata
- Authors
- Moisala, M., Salmela, V., Hietajärvi, L., Salo, E., Carlson, S., Salonen, O., Lonka, K., Hakkarainen, K., Salmela-Aro, K., & Alho, K.
- Affiliations
- University of Helsinki (FI)
- Helsinki University Hospital (FI)
- Corresponding author
- Moisala, M.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 134
- Pages
- 113-121
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2316381207
- Cited by
- 200
- References
- 55
- Citations by year
- 2026: 20 · 2025: 15 · 2024: 17 · 2023: 21 · 2022: 33 · 2021: 18 · 2020: 29 · 2019: 21 · 2018: 12 · 2017: 12 · 2016: 2
- FWCI
- 9.97
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Työväentutkimus Vuosikirja (submittedVersion, other-oa)
- Jyväskylä University Digital Archive (University of Jyväskylä) (submittedVersion)
- Funders
- Riksbankens Jubileumsfond
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Social Sciences › Communication › Digital Media and Philosophy
- Keywords
- media multitasking, distractibility, prefrontal cortex, adolescents, young adults, attentional control, inhibitory control, divided attention, distractor interference, everyday media use
- MeSH terms
- Multitasking Behavior, Adolescent, Attention, Auditory Perception, Brain Mapping, Female, Humans, Male, Nerve Net, Reading, Task Performance and Analysis, Prefrontal Cortex, Multimedia, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review