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References
Arlt S, Buchert R, Spies L, Eichenlaub M, Lehmbeck JT, Jahn H (2013) Association between fully automated MRI-based volumetry of different brain regions and neuropsychological test performance in patients with amnestic mild cognitive impairment and Alzheimer’s disease. Eur Arch Psychiatry Clin Neurosci 263(4):335–344. https://doi.org/10.1007/s00406-012-0350-7
Baumeister H, Montag C (eds) (2019) Digital phenotyping and mobile sensing: new developments in psychoinformatics. Springer International Publishing. https://doi.org/10.1007/978-3-030-31620-4
Cobb M (2020) The idea of the Brain: the past and future of neuroscience. Hachette UK
Dagum P (2018) Digital biomarkers of cognitive function. Npj Dig Med 1(1):1–3. https://doi.org/10.1038/s41746-018-0018-4
Dagum P (2019) Digital brain biomarkers of human cognition and mood. In: Baumeister H, Montag C (eds) Digital phenotyping and mobile sensing: new developments in psychoinformatics. Springer International Publishing. pp 93–107. https://doi.org/10.1007/978-3-030-31620-4_6
Duckrow RB, Ceolini E, Zaveri HP, Brooks C, Ghosh A (2021) Artificial neural network trained on smartphone behavior can trace epileptiform activity in epilepsy. IScience 102538. https://doi.org/10.1016/j.isci.2021.102538
Fan L-Y, Gau SS-F, Chou T-L (2014) Neural correlates of inhibitory control and visual processing in youths with attention deficit hyperactivity disorder: a counting Stroop functional MRI study. Psychol Med 44(12):2661–2671. https://doi.org/10.1017/S0033291714000038
Gindrat A-D, Chytiris M, Balerna M, Rouiller EM, Ghosh A (2015) Use-dependent cortical processing from fingertips in touchscreen phone users. Curr Biol 25(1):109–116. https://doi.org/10.1016/j.cub.2014.11.026
Huckins JF, daSilva AW, Wang R, Wang W, Hedlund EL, Murphy EI, Lopez RB, Rogers C, Holtzheimer PE, Kelley WM, Heatherton TF, Wagner DD, Haxby JV, Campbell AT (2019) Fusing mobile phone sensing and brain imaging to assess depression in college students. Front Neurosci 13. https://doi.org/10.3389/fnins.2019.00248
Insel TR (2017) Digital phenotyping: technology for a new science of behavior. JAMA 318(13):1215–1216. https://doi.org/10.1001/jama.2017.11295
Marengo D, Montag C (2020) Digital phenotyping of big five personality via facebook data mining: a meta-analysis. Dig Psychol
Markowetz A, Błaszkiewicz K, Montag C, Switala C, Schlaepfer TE (2014) Psycho-informatics: big data shaping modern psychometrics. Med Hypotheses 82(4):405–411. https://doi.org/10.1016/j.mehy.2013.11.030
Montag C, Elhai JD, Dagum P (2021a) Show me your smartphone… and then I will show you your brain structure and brain function. Hum. Behav. Emerg. Technol 3(5):891–897.
Montag C, Elhai JD, Dagum P (2021b) On blurry boundaries when defining digital biomarkers: how much biology needs to be in a digital biomarker? Front Psych 12:1690. https://doi.org/10.3389/fpsyt.2021.740292
Montag C, Hahn E (2018) Nature-nurture debate. In: Zeigler-Hill V, Shackelford TK (eds) Encyclopedia of personality and individual differences. Springer International Publishing, pp 1–5. https://doi.org/10.1007/978-3-319-28099-8_822-1
Montag C, Markowetz A, Blaszkiewicz K, Andone I, Lachmann B, Sariyska R, Trendafilov B, Eibes M, Kolb J, Reuter M, Weber B, Markett S (2017) Facebook usage on smartphones and gray matter volume of the nucleus accumbens. Behav Brain Res 329:221–228. https://doi.org/10.1016/j.bbr.2017.04.035
Polderman TJC, Benyamin B, de Leeuw CA, Sullivan PF, van Bochoven A, Visscher PM, Posthuma D (2015) Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nat Genet 47(7):702–709. https://doi.org/10.1038/ng.3285
Sanwald S, Widenhorn-Müller K, Montag C, Kiefer M (2020) Relation of promoter methylation of the structural oxytocin gene to critical life events in major depression: a case control study. J Affect Disord 276:829–838. https://doi.org/10.1016/j.jad.2020.07.068
Sariyska R, Rathner E-M, Baumeister H, Montag C (2018) Feasibility of linking molecular genetic markers to real-world social network size tracked on smartphones. Front Neurosci 12:945. https://doi.org/10.3389/fnins.2018.00945
Seidman LJ, Yurgelun-Todd D, Kremen WS, Woods BT, Goldstein JM, Faraone SV, Tsuang MT (1994) Relationship of prefrontal and temporal lobe MRI measures to neuropsychological performance in chronic schizophrenia. Biol Psychiat 35(4):235–246. https://doi.org/10.1016/0006-3223(94)91254-8
Conflict of Interest
Christian Montag mentions that he received funding from Mindstrong Health for a project on digital phenotyping. Beyond that he serves as scientific advisor for Applied Cognition, Redwood City, CA, USA. This activity is financially compensated. Paul Dagum is the founder of Mindstrong Health, a company developing digital phenotyping products for mental healthcare delivery. He served as its Chief Executive Officer from its founding in 2013 through October 2019 and was granted five U.S. patents on digital phenotyping and digital biomarkers. PD is currently co-founder and CEO of Applied Cognition developing diagnostic and therapeutic solutions for Alzheimer’s disease. PD owns stock in Mindstrong Health and in Applied Cognition.
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Montag, C., Elhai, J.D., Dagum, P. (2023). Defining Digital Biomarkers. In: Montag, C., Baumeister, H. (eds) Digital Phenotyping and Mobile Sensing. Studies in Neuroscience, Psychology and Behavioral Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-98546-2_31
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