papers

selected

Connecting Brain and Behavior

Blanken TF, Bathelt J, Deserno MK, Voge L, Borsboom D, Douw L. Connecting brain and behavior in clinical neuroscience: A network approach. Neurosci Biobehav Rev 2021; 130: 81-90.

 

Network Outcome Analysis

Blanken TF, Borsboom D, Penninx BWJH, Van Someren EJW. Network Outcome Analysis identifies difficulty initiating sleep as primary target for prevention of depression: A six-year prospective study. Sleep 2020; 43: zsz288.

 

Insomnia Disorder Subtypes

Blanken TF, Benjamins JS, Borsboom D, et al. Robust insomnia disorder subtypes revealed by non-sleep-related traits and life history. Lancet Psychiatry 2019; 6: 151–63.

Network Intervention Analysis

Blanken TF*, Van der Zweerde T*, Van Straten A, et al. Treating co-occurring insomnia and depression symptoms: Introducing Network Intervention Analysis to reveal sequential, symptom-specific effects of online insomnia treatment. Psychother Psychosom 2019; 88: 52–54.

submitted

Van der Pal Z, […], Schrantee A*, Blanken TF*. Tell me why? A scoping review on the fundamental building blocks of fMRI networks. Preprint: https://doi.org/10.31234/osf.io/yhfwp

Freichel R, […], Walter H*, Blanken TF*. Brain-symptom network models of depressive symptoms: Understanding heterogeneity and clinical implications. Preprint: https://doi.org/10.1101/2023.09.13.23295278 (under review)

Van der Pal Z, […], Blanken TF*, Schrantee A*. Stimulant medication and symptom interactions in attention-deficit/hyperactivity disorder. Preprint: https://doi.org/10.1101/2023.07.28.23293202

Bresser T, Blanken TF, De Lange S, et al. Insomnia subtypes have distinguishing deviations in brain structural connectivity. Preprint: https://doi.org/10.1101/2023.11.01.565094 (under review)

Lunansky G, Van Borkulo CD, Blanken TF, et al. Bouncing back from life’s perturbations: Formalising psychological resilience from a complex systems perspective. Preprint: https://doi.org/10.31234/osf.io/ftx4j (under review)

2024

Burger J, Andikkhash V, Jäger N, et al. A novel approach for constructing personalized networks from longitudinal perceived causal relations”. Behav Res Ther 2024. 173(11). 104456. [PDF]

Pieters L, Blanken TF, van Lunteren K, et al. A Network Model of Health-Related Changes after a Lifestyle-Enhancing Treatment in Patients with Severe Mental Illness: the MULTI Study VI. Int J Clinical and Health Psychology. 24(1). 100436. [PDF]

2023

Lancee J, Morin CM, […], Blanken TF. Symptom-specific effects of zolpidem and behavioral treatment for insomnia: A network intervention analysis. Sleep 2023; 46: zsad240. [PDF]

Lunansky G*, Hoekstra RHA*, Blanken TF. Disentangling dynamic affect trajectories for distinct depression courses during the COVID-19 pandemic. Collabra 2023; 9: 74841. [PDF]

Chattrattrai T, Aarab G, Blanken TF, et al. Network analysis of sleep bruxism in the EPISONO adult general population. J Sleep Res 2023. e13957: jsr.13957. [PDF]

Chattrattrai T, Aarab G, Su N, et al. The association of self-reported-awake bruxism and sleep bruxism with temporomandibular pain and dysfunction in an adult TMD-patient population. Clin Oral Invest 2023. 27: 7501-7511. [PDF]

Cox R, Rösler L, Weber FD, et al. The first-night effect and the consistency of short sleep in insomnia disorder. J Sleep Res 2023. e13897: jsr.13897. [PDF]

Reesen JE, Hoogendoorn AW, Leerssen J, et al. A call for transdiagnostic attention to insomnia and its treatment in mental health care. J Sleep Res 2023.

Röttgering JG, Varkevisser TMCK, Gorter M, et al. Symptom networks in glioma patients: Understanding the multidimensionality of symptoms and quality of life. J Cancer Surviv 2023. doi: 10.1007/s11764-023-01355-8. [PDF]

Van der Wal JM, Haslbeck JMB, Slofstra C, et al. Differential impact of preventive cognitive therapy while tapering antidepressants versus maintenance antidepressant treatment on affect fluctuations and individual affect networks and impact on relapse: A secondary analysis of a randomised controlled trial. eClinicalMedicine 2023; 66: 102329. [PDF]

2022

Dablander F*, Blanken TF*, Tanis CC*, et al. A multidisciplinary perspective on COVID-19 exit strategies. PsyArXiv 2022; doi:10.31234/osf.io/3jz8e. [non peer reviewed] [PDF]

Burger J*, Isvoranu A*, […], Blanken TF. Reporting standards for psychological network analyses in cross-sectional data. Psych Methods 2022; 28: 806-824. [PDF]

Lancee J, Harvey AG, […], Blanken TF. Network Intervention Analyses of cognitive therapy and behavior therapy for insomnia: process measures and symptom specific effects. Behav Res Ther 2022; 153: 104100. [PDF]

Tanis CC, Nauta FH, […], Blanken TF. Practical behavioural solutions to COVID-19: Changing the role of behavioural science in crises. PloS One 2022; 17: e0272994. [PDF]

Borsboom D, Blanken TF, Dablander F, et al. The lightning of the BECONs: A behavioural data science approach to tracking interventions in COVID-19 research. J Behav Data Sci 2022. 2: 1–34. [PDF]

Chattrattrai T, Blanken TF, Lobbezoo F, et al. A network analysis of self-reported sleep bruxism in the Netherlands Sleep Registry: Its associations with insomnia and several demographic, psychological, and life-style factors. Sleep Med 2022; 93: 63-70. [PDF]

Dekker MM, Blanken TF, Dablander F, et al. Quantifying agent impacts on contact sequences in social interactions. Sci Rep 2022; 12: 3483. [PDF]

De Feijter M, Kocevska D, Blanken TF, et al. The network of psychosocial health in middle-aged and older adults during the first COVID-19 lockdown. Soc Psychiatry Psychiatr Epidemiol 2022. 57: 2469-2479. [PDF]

Kuang B, Aarab G, Wei Y, et al. Associations between signs of sleep bruxism and insomnia: A polysomnographic study. J Sleep Res 2023. 32: jsr.13827 [PDF]

Pröpper HYL, Geiger SJ, Blanken TF, Brick C. Truth over identity? A conceptual weak replication of cultural cognition across 23 countries. J Exp Psych 2022; 83: 101865. [PDF]

Riemann D, Benz F, Dressle RJ, et al. Insomnia Disorder: State of the science and challenges for the future. J Sleep Res 2022. 31: jsr.13604. [PDF]

2021

Blanken TF, Bathelt J, Deserno MK, Voge L, Borsboom D, Douw L. Connecting brain and behavior in clinical neuroscience: A network approach. Neurosci Biobehav Rev 2021; 130: 81-90. [PDF]

Blanken TF, Courbet O, Franc N, et al. Is an irritable ADHD profile traceable using personality dimensions? Replicability, stability, and predictive value over time of data-driven profiles. Eur Child Adolesc Psychiatry 2021; 30: 633-645. [PDF]

Blanken TF, Jansson-Fröjmark M, Sunnhed R, Lancee J. Symptom specific effects of cognitive therapy and behavior therapy for insomnia: A network intervention analysis. J Consult Clin Psychol 2021; 89: 364-370. [PDF]

Blanken TF, Tanis CC, Nauta FH, et al. Promoting physical distancing during COVID-19: A systematic approach to compare behavioral interventions. Sci Rep 2021; 11: 19463. [PDF]

Tanis CC, Leach NM, […], Blanken TF. Smart Distance Lab’s art fair, experimental data on social distancing during the COVID-19 pandemic. Sci Data 2021; 8: 179. [PDF]

Leerssen J, Lakbila-Kamal O, Dekkers LMS, et al. Treating insomnia to prevent depression with therapist-guided digital cognitive, behavioral and chronobiological interventions: A randomized controlled trial. Psychother Psychosom 2021; 6: 1-12. [PDF]

Sanders J, Zomer C, Hoekstra R, et al. Verhogen van testdeelname tijdens de pilot grootschalig testen in de gemeente Dronten en de gemeente Bunschoten. Rijksinstituut voor Volksgezondheid en Milieu. doi:10.21945/RIVM-2021-0089. [non peer reviewed]

2020

Blanken TF, Borsboom D, Penninx BWJH, Van Someren EJW. Network Outcome Analysis identifies difficulty initiating sleep as primary target for prevention of depression: A six-year prospective study. Sleep 2020; 43: zsz288. [PDF]

Kocevska D*, Blanken TF*, Van Someren EJW, Rösler L. Sleep during the COVID-19 pandemic: Not one size fits all. Sleep Med 2020; 76: 86-88. [PDF]

De Mooij S, Blanken TF, Grasman RPPP, et al. Dynamics of sleep: Exploring critical transitions and early warning signals. Comput Meth Prog Bio 2020; 193: 105448. [PDF]

Leerssen J, Blanken TF, Pozzi E, et al. Brain structural correlates of insomnia severity in 1,053 adults with Major Depressive Disorder: Results from the ENIGMA Major Depressive Disorder Working Group. Transl Psychiatry 2020; 10: 425. [PDF]

Leerssen J, Foster-Dingley JC, Lakbila-Kamal O, et al. Internet-guided cognitive, behavioral and chronobiological interventions in depression-prone insomnia subtypes: protocol of a randomized controlled prevention trial. BMC Psych 2020; 20:163. [PDF]

Schmaal L, Pozzi E, Ho T, et al. ENIGMA MDD: Seven years of global neuroimaging studies of Major Depression through worldwide data sharing. Transl Psychiatry 2020; 10: 172. [PDF]

2019

Blanken TF, Benjamins JS, Borsboom D, et al. Robust insomnia disorder subtypes revealed by non-sleep-related traits and life history. Lancet Psychiatry 2019; 6: 151–63. [PDF]

Blanken TF*, Van der Zweerde T*, Van Straten A, et al. Treating co-occurring insomnia and depression symptoms: Introducing Network Intervention Analysis to reveal sequential, symptom-specific effects of online insomnia treatment. Psychother Psychosom 2019; 88: 52–54. [PDF]

Blanken TF, Van Someren EJW. Subtyping insomnia disorder — Authors’ reply. Lancet Psychiatry 2019; 6: 285–86. [PDF]

Letina S, Blanken TF, Deserno MK, Borsboom D. Expanding network analysis tools in psychological networks: Minimal spanning trees, participation coefficients, and motif analysis applied to a network of 26 psychological attributes. Complexity 2019; 2019: 9424605. [PDF]

Te Lindert BHW, Blanken TF, Van der Meijden WP, et al. Actigraphic multi-night home-recorded sleep estimates reveal three types of sleep misperception in Insomnia Disorder and good sleepers. J Sleep Res 2019; 00: e12937. [PDF]

2018

Blanken TF*, Dekker K*, Van Someren EJW. How personality profile similarity can improve comparability between assessment formats: an example of the Mini-IPIP and IPIP-NEO-120 in a Dutch community sample. PsyArXiv 2018; doi:10.31234/osf.io/pjtgv. [non peer reviewed] [PDF]

Blanken TF*, Deserno MK*, Dalege J, et al. The role of stabilising and communicating symptoms given overlapping communities in psychopathology networks. Sci Rep 2018; 8: 1–8. [PDF]

Wei Y, Blanken TF, Van Someren EJW. Insomnia really hurts: Habitual insomnia increases the acute effect of a bad night’s sleep on pain. Front Psychiatry 2018; 9: 377. [PDF]

2017

Dekker K*, Blanken TF*, Van Someren EJW. Insomnia and personality — A network approach. Brain Sci 2017; 7: 28. [PDF]

Benjamins JS, Migliorati F, Dekker K, et al. Insomnia heterogeneity: Characteristics to consider for data-driven multivariate subtyping. Sleep Med Rev 2017; 37: 71–81. [PDF]

Hammerschlag AR, Stringer S, De Leeuw CA, et al. Genome-wide association analysis of insomnia identifies novel risk genes and genetic overlap with psychiatric and metabolic traits. Nat Genet 2017; doi.org/10.1038/ng.3888. [PDF]

Krypotos A-M, Blanken TF, Arnaudova I, et al. A primer on Bayesian analysis for experimental psychopathologists. J Exp Psychopathol 2017; 8: 140–57. [PDF]

Wei Y, Colombo MA, Ramautar JR, et al. Sleep stage transition dynamics reveal specific stage 2 vulnerability in insomnia. Sleep 2017; 40: doi.org/10.1093/sleep/zsx117. [PDF]

2014

Van Borkulo CD, Borsboom D, Epskamp S, et al. A new method for constructing networks from binary data. Sci Rep 2014; 4: 1—10. [PDF]

book chapters

Blanken TF, Isvoranu AM, Epskamp E. Estimating network structures using model selection. In Isvoranu AM, Epskamp S, Waldorp LJ, Borsboom D (Eds.) Network Psychometrics with R: A guide for behavioral and social scientists. Routledge, Taylor & Francis Group. (In press).

Deserno MK, Isvoranu AM, Epskamp E, Blanken TF. Descriptive analysis of network structures. In Isvoranu AM, Epskamp S, Waldorp LJ, Borsboom D (Eds.) Network Psychometrics with R: A guide for behavioral and social scientists. Routledge, Taylor & Francis Group. (In press).

* shared first/last authorship