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Multivariate associative patterns between the gut microbiota and large-scale brain network connectivity.

Gut microbes

Kohn N, Szopinska-Tokov J, Llera Arenas A, Beckmann CF, Arias-Vasquez A, Aarts E.
PMID: 34856861
Gut Microbes. 2021 Jan-Dec;13(1):2006586. doi: 10.1080/19490976.2021.2006586.

Research on the gut-brain axis has accelerated substantially over the course of the last years. Many reviews have outlined the important implications of understanding the relation of the gut microbiota with human brain function and behavior. One substantial drawback...

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Kohn N, Szopinska-Tokov J, Llera Arenas A, et al. Multivariate associative patterns between the gut microbiota and large-scale brain network connectivity. Gut Microbes. 2021;13(1):2006586doi: 10.1080/19490976.2021.2006586.
Kohn, N., Szopinska-Tokov, J., Llera Arenas, A., Beckmann, C. F., Arias-Vasquez, A., & Aarts, E. (2021). Multivariate associative patterns between the gut microbiota and large-scale brain network connectivity. Gut microbes, 13(1), 2006586. https://doi.org/10.1080/19490976.2021.2006586
Kohn, N, et al. "Multivariate associative patterns between the gut microbiota and large-scale brain network connectivity." Gut microbes vol. 13,1 (2021): 2006586. doi: https://doi.org/10.1080/19490976.2021.2006586
Kohn N, Szopinska-Tokov J, Llera Arenas A, Beckmann CF, Arias-Vasquez A, Aarts E. Multivariate associative patterns between the gut microbiota and large-scale brain network connectivity. Gut Microbes. 2021 Jan-Dec;13(1):2006586. doi: 10.1080/19490976.2021.2006586. PMID: 34856861.
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The meaning of significant mean group differences for biomarker discovery.

PLoS computational biology

Loth E, Ahmad J, Chatham C, López B, Carter B, Crawley D, Oakley B, Hayward H, Cooke J, San José Cáceres A, Bzdok D, Jones E, Charman T, Beckmann C, Bourgeron T, Toro R, Buitelaar J, Murphy D, Dumas G.
PMID: 34793435
PLoS Comput Biol. 2021 Nov 18;17(11):e1009477. doi: 10.1371/journal.pcbi.1009477. eCollection 2021 Nov.

Over the past decade, biomarker discovery has become a key goal in psychiatry to aid in the more reliable diagnosis and prognosis of heterogeneous psychiatric conditions and the development of tailored therapies. Nevertheless, the prevailing statistical approach is still...

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Loth E, Ahmad J, Chatham C, et al. The meaning of significant mean group differences for biomarker discovery. PLoS Comput Biol. 2021;17(11):e1009477doi: 10.1371/journal.pcbi.1009477.
Loth, E., Ahmad, J., Chatham, C., López, B., Carter, B., Crawley, D., Oakley, B., Hayward, H., Cooke, J., San José Cáceres, A., Bzdok, D., Jones, E., Charman, T., Beckmann, C., Bourgeron, T., Toro, R., Buitelaar, J., Murphy, D., & Dumas, G. (2021). The meaning of significant mean group differences for biomarker discovery. PLoS computational biology, 17(11), e1009477. https://doi.org/10.1371/journal.pcbi.1009477
Loth, Eva, et al. "The meaning of significant mean group differences for biomarker discovery." PLoS computational biology vol. 17,11 (2021): e1009477. doi: https://doi.org/10.1371/journal.pcbi.1009477
Loth E, Ahmad J, Chatham C, López B, Carter B, Crawley D, Oakley B, Hayward H, Cooke J, San José Cáceres A, Bzdok D, Jones E, Charman T, Beckmann C, Bourgeron T, Toro R, Buitelaar J, Murphy D, Dumas G. The meaning of significant mean group differences for biomarker discovery. PLoS Comput Biol. 2021 Nov 18;17(11):e1009477. doi: 10.1371/journal.pcbi.1009477. eCollection 2021 Nov. PMID: 34793435; PMCID: PMC8601419.
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Asymmetry of brain structure and function: 40 years after Sperry's Nobel Prize.

Brain structure & function

Thiebaut de Schotten M, Beckmann CF.
PMID: 34779912
Brain Struct Funct. 2021 Nov 15; doi: 10.1007/s00429-021-02426-1. Epub 2021 Nov 15.

No abstract available.

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Thiebaut de Schotten M, Beckmann CF. Asymmetry of brain structure and function: 40 years after Sperry's Nobel Prize. Brain Struct Funct. 2021;doi: 10.1007/s00429-021-02426-1.
Thiebaut de Schotten, M., & Beckmann, C. F. (2021). Asymmetry of brain structure and function: 40 years after Sperry's Nobel Prize. Brain structure & function, . https://doi.org/10.1007/s00429-021-02426-1
Thiebaut de Schotten, Michel, and Beckmann, Christian F. "Asymmetry of brain structure and function: 40 years after Sperry's Nobel Prize." Brain structure & function vol. (2021). doi: https://doi.org/10.1007/s00429-021-02426-1
Thiebaut de Schotten M, Beckmann CF. Asymmetry of brain structure and function: 40 years after Sperry's Nobel Prize. Brain Struct Funct. 2021 Nov 15; doi: 10.1007/s00429-021-02426-1. Epub 2021 Nov 15. PMID: 34779912.
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Intracranial Lesion Detection and Artifact Characterization: Comparative Study of Susceptibility and T2.

Frontiers in veterinary science

Wolfer N, Wang-Leandro A, Beckmann KM, Richter H, Dennler M.
PMID: 34966811
Front Vet Sci. 2021 Dec 13;8:779515. doi: 10.3389/fvets.2021.779515. eCollection 2021.

Susceptibility-weighted imaging (SWI), an MRI sequence for the detection of hemorrhage, allows differentiation of paramagnetic and diamagnetic substances based on tissue magnetic susceptibility differences. The three aims of this retrospective study included a comparison of the number of areas...

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Wolfer N, Wang-Leandro A, Beckmann KM, et al. Intracranial Lesion Detection and Artifact Characterization: Comparative Study of Susceptibility and T2. Front Vet Sci. 2021;8:779515doi: 10.3389/fvets.2021.779515.
Wolfer, N., Wang-Leandro, A., Beckmann, K. M., Richter, H., & Dennler, M. (2021). Intracranial Lesion Detection and Artifact Characterization: Comparative Study of Susceptibility and T2. Frontiers in veterinary science, 8779515. https://doi.org/10.3389/fvets.2021.779515
Wolfer, Nadja, et al. "Intracranial Lesion Detection and Artifact Characterization: Comparative Study of Susceptibility and T2." Frontiers in veterinary science vol. 8 (2021): 779515. doi: https://doi.org/10.3389/fvets.2021.779515
Wolfer N, Wang-Leandro A, Beckmann KM, Richter H, Dennler M. Intracranial Lesion Detection and Artifact Characterization: Comparative Study of Susceptibility and T2. Front Vet Sci. 2021 Dec 13;8:779515. doi: 10.3389/fvets.2021.779515. eCollection 2021. PMID: 34966811; PMCID: PMC8710604.
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Erratum to "Economic demand analysis of within-session dose-reduction during nicotine self-administration" [Drug Alcohol Depend. 201 (2019) 188-196].

Drug and alcohol dependence

Powell GL, Cabrera-Brown G, Namba MD, Neisewander JL, Marusich JA, Beckmann JS, Gipson CD.
PMID: 31358315
Drug Alcohol Depend. 2019 Oct 01;203:107. doi: 10.1016/j.drugalcdep.2019.07.005. Epub 2019 Jul 26.

No abstract available.

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Powell GL, Cabrera-Brown G, Namba MD, et al. Erratum to "Economic demand analysis of within-session dose-reduction during nicotine self-administration" [Drug Alcohol Depend. 201 (2019) 188-196]. Drug Alcohol Depend. 2019;203:107doi: 10.1016/j.drugalcdep.2019.07.005.
Powell, G. L., Cabrera-Brown, G., Namba, M. D., Neisewander, J. L., Marusich, J. A., Beckmann, J. S., & Gipson, C. D. (2019). Erratum to "Economic demand analysis of within-session dose-reduction during nicotine self-administration" [Drug Alcohol Depend. 201 (2019) 188-196]. Drug and alcohol dependence, 203107. https://doi.org/10.1016/j.drugalcdep.2019.07.005
Powell, Gregory L, et al. "Erratum to "Economic demand analysis of within-session dose-reduction during nicotine self-administration" [Drug Alcohol Depend. 201 (2019) 188-196]." Drug and alcohol dependence vol. 203 (2019): 107. doi: https://doi.org/10.1016/j.drugalcdep.2019.07.005
Powell GL, Cabrera-Brown G, Namba MD, Neisewander JL, Marusich JA, Beckmann JS, Gipson CD. Erratum to "Economic demand analysis of within-session dose-reduction during nicotine self-administration" [Drug Alcohol Depend. 201 (2019) 188-196]. Drug Alcohol Depend. 2019 Oct 01;203:107. doi: 10.1016/j.drugalcdep.2019.07.005. Epub 2019 Jul 26. PMID: 31358315.
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Preference for biological motion is reduced in ASD: implications for clinical trials and the search for biomarkers.

Molecular autism

Mason L, Shic F, Falck-Ytter T, Chakrabarti B, Charman T, Loth E, Tillmann J, Banaschewski T, Baron-Cohen S, Bölte S, Buitelaar J, Durston S, Oranje B, Persico AM, Beckmann C, Bougeron T, Dell'Acqua F, Ecker C, Moessnang C, Murphy D, Johnson MH, Jones EJH.
PMID: 34911565
Mol Autism. 2021 Dec 15;12(1):74. doi: 10.1186/s13229-021-00476-0.

BACKGROUND: The neurocognitive mechanisms underlying autism spectrum disorder (ASD) remain unclear. Progress has been largely hampered by small sample sizes, variable age ranges and resulting inconsistent findings. There is a pressing need for large definitive studies to delineate the...

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Mason L, Shic F, Falck-Ytter T, et al. Preference for biological motion is reduced in ASD: implications for clinical trials and the search for biomarkers. Mol Autism. 2021;12(1):74doi: 10.1186/s13229-021-00476-0.
Mason, L., Shic, F., Falck-Ytter, T., Chakrabarti, B., Charman, T., Loth, E., Tillmann, J., Banaschewski, T., Baron-Cohen, S., Bölte, S., Buitelaar, J., Durston, S., Oranje, B., Persico, A. M., Beckmann, C., Bougeron, T., Dell'Acqua, F., Ecker, C., Moessnang, C., Murphy, D., Johnson, M. H., Jones, E. J. H. (2021). Preference for biological motion is reduced in ASD: implications for clinical trials and the search for biomarkers. Molecular autism, 12(1), 74. https://doi.org/10.1186/s13229-021-00476-0
Mason, L, et al. "Preference for biological motion is reduced in ASD: implications for clinical trials and the search for biomarkers." Molecular autism vol. 12,1 (2021): 74. doi: https://doi.org/10.1186/s13229-021-00476-0
Mason L, Shic F, Falck-Ytter T, Chakrabarti B, Charman T, Loth E, Tillmann J, Banaschewski T, Baron-Cohen S, Bölte S, Buitelaar J, Durston S, Oranje B, Persico AM, Beckmann C, Bougeron T, Dell'Acqua F, Ecker C, Moessnang C, Murphy D, Johnson MH, Jones EJH. Preference for biological motion is reduced in ASD: implications for clinical trials and the search for biomarkers. Mol Autism. 2021 Dec 15;12(1):74. doi: 10.1186/s13229-021-00476-0. PMID: 34911565.
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Increased resting state connectivity in the anterior default mode network of idiopathic epileptic dogs.

Scientific reports

Beckmann KM, Wang-Leandro A, Richter H, Bektas RN, Steffen F, Dennler M, Carrera I, Haller S.
PMID: 34903807
Sci Rep. 2021 Dec 13;11(1):23854. doi: 10.1038/s41598-021-03349-x.

Epilepsy is one of the most common chronic, neurological diseases in humans and dogs and considered to be a network disease. In human epilepsy altered functional connectivity in different large-scale networks have been identified with functional resting state magnetic...

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Beckmann KM, Wang-Leandro A, Richter H, et al. Increased resting state connectivity in the anterior default mode network of idiopathic epileptic dogs. Sci Rep. 2021;11(1):23854doi: 10.1038/s41598-021-03349-x.
Beckmann, K. M., Wang-Leandro, A., Richter, H., Bektas, R. N., Steffen, F., Dennler, M., Carrera, I., & Haller, S. (2021). Increased resting state connectivity in the anterior default mode network of idiopathic epileptic dogs. Scientific reports, 11(1), 23854. https://doi.org/10.1038/s41598-021-03349-x
Beckmann, Katrin M, et al. "Increased resting state connectivity in the anterior default mode network of idiopathic epileptic dogs." Scientific reports vol. 11,1 (2021): 23854. doi: https://doi.org/10.1038/s41598-021-03349-x
Beckmann KM, Wang-Leandro A, Richter H, Bektas RN, Steffen F, Dennler M, Carrera I, Haller S. Increased resting state connectivity in the anterior default mode network of idiopathic epileptic dogs. Sci Rep. 2021 Dec 13;11(1):23854. doi: 10.1038/s41598-021-03349-x. PMID: 34903807; PMCID: PMC8668945.
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Evaporation Boundary Conditions for the Linear R13 Equations Based on the Onsager Theory.

Entropy (Basel, Switzerland)

Beckmann AF, Rana AS, Torrilhon M, Struchtrup H.
PMID: 33265769
Entropy (Basel). 2018 Sep 06;20(9). doi: 10.3390/e20090680.

Due to the failure of the continuum hypothesis for higher Knudsen numbers, rarefied gases and microflows of gases are particularly difficult to model. Macroscopic transport equations compete with particle methods, such as the Direct Simulation Monte Carlo method (DSMC),...

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Beckmann AF, Rana AS, Torrilhon M, et al. Evaporation Boundary Conditions for the Linear R13 Equations Based on the Onsager Theory. Entropy (Basel). 2018;20(9)doi: 10.3390/e20090680.
Beckmann, A. F., Rana, A. S., Torrilhon, M., & Struchtrup, H. (2018). Evaporation Boundary Conditions for the Linear R13 Equations Based on the Onsager Theory. Entropy (Basel, Switzerland), 20(9), . https://doi.org/10.3390/e20090680
Beckmann, Alexander Felix, et al. "Evaporation Boundary Conditions for the Linear R13 Equations Based on the Onsager Theory." Entropy (Basel, Switzerland) vol. 20,9 (2018). doi: https://doi.org/10.3390/e20090680
Beckmann AF, Rana AS, Torrilhon M, Struchtrup H. Evaporation Boundary Conditions for the Linear R13 Equations Based on the Onsager Theory. Entropy (Basel). 2018 Sep 06;20(9). doi: 10.3390/e20090680. PMID: 33265769; PMCID: PMC7513205.
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Missing the Wood for the Wrong Trees: On the Difficulty of Defining the Complexity of Complex Problem Solving Scenarios.

Journal of Intelligence

Beckmann JF, Goode N.
PMID: 31162406
J Intell. 2017 Apr 13;5(2). doi: 10.3390/jintelligence5020015.

In this paper we discuss how the lack of a common framework in Complex Problem Solving (CPS) creates a major hindrance to a productive integration of findings and insights gained in its 40+-year history of research. We propose a...

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Beckmann JF, Goode N. Missing the Wood for the Wrong Trees: On the Difficulty of Defining the Complexity of Complex Problem Solving Scenarios. J Intell. 2017;5(2)doi: 10.3390/jintelligence5020015.
Beckmann, J. F., & Goode, N. (2017). Missing the Wood for the Wrong Trees: On the Difficulty of Defining the Complexity of Complex Problem Solving Scenarios. Journal of Intelligence, 5(2), . https://doi.org/10.3390/jintelligence5020015
Beckmann, Jens F, and Goode, Natassia. "Missing the Wood for the Wrong Trees: On the Difficulty of Defining the Complexity of Complex Problem Solving Scenarios." Journal of Intelligence vol. 5,2 (2017). doi: https://doi.org/10.3390/jintelligence5020015
Beckmann JF, Goode N. Missing the Wood for the Wrong Trees: On the Difficulty of Defining the Complexity of Complex Problem Solving Scenarios. J Intell. 2017 Apr 13;5(2). doi: 10.3390/jintelligence5020015. PMID: 31162406; PMCID: PMC6526426.
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Manifesto for new directions in developmental science.

New directions for child and adolescent development

Barbot B, Hein S, Trentacosta C, Beckmann JF, Bick J, Crocetti E, Liu Y, Rao SF, Liew J, Overbeek G, Ponguta LA, Scheithauer H, Super C, Arnett J, Bukowski W, Cook TD, Côté J, Eccles JS, Eid M, Hiraki K, Johnson M, Juang L, Landi N, Leckman J, McCardle P, Mulvey KL, Piquero AR, Preiss DD, Siegler R, Soenens B, Yousafzai AK, Bornstein MH, Cooper CR, Goossens L, Harkness S, van IJzendoorn MH.
PMID: 32960503
New Dir Child Adolesc Dev. 2020 Jul;2020(172):135-149. doi: 10.1002/cad.20359. Epub 2020 Sep 22.

Although developmental science has always been evolving, these times of fast-paced and profound social and scientific changes easily lead to disorienting fragmentation rather than coherent scientific advances. What directions should developmental science pursue to meaningfully address real-world problems that...

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Barbot B, Hein S, Trentacosta C, et al. Manifesto for new directions in developmental science. New Dir Child Adolesc Dev. 2020;2020(172):135-149doi: 10.1002/cad.20359.
Barbot, B., Hein, S., Trentacosta, C., Beckmann, J. F., Bick, J., Crocetti, E., Liu, Y., Rao, S. F., Liew, J., Overbeek, G., Ponguta, L. A., Scheithauer, H., Super, C., Arnett, J., Bukowski, W., Cook, T. D., Côté, J., Eccles, J. S., Eid, M., Hiraki, K., Johnson, M., Juang, L., Landi, N., Leckman, J., McCardle, P., Mulvey, K. L., Piquero, A. R., Preiss, D. D., Siegler, R., Soenens, B., Yousafzai, A. K., Bornstein, M. H., Cooper, C. R., Goossens, L., Harkness, S., & van IJzendoorn, M. H. (2020). Manifesto for new directions in developmental science. New directions for child and adolescent development, 2020(172), 135-149. https://doi.org/10.1002/cad.20359
Barbot, Baptiste, et al. "Manifesto for new directions in developmental science." New directions for child and adolescent development vol. 2020,172 (2020): 135-149. doi: https://doi.org/10.1002/cad.20359
Barbot B, Hein S, Trentacosta C, Beckmann JF, Bick J, Crocetti E, Liu Y, Rao SF, Liew J, Overbeek G, Ponguta LA, Scheithauer H, Super C, Arnett J, Bukowski W, Cook TD, Côté J, Eccles JS, Eid M, Hiraki K, Johnson M, Juang L, Landi N, Leckman J, McCardle P, Mulvey KL, Piquero AR, Preiss DD, Siegler R, Soenens B, Yousafzai AK, Bornstein MH, Cooper CR, Goossens L, Harkness S, van IJzendoorn MH. Manifesto for new directions in developmental science. New Dir Child Adolesc Dev. 2020 Jul;2020(172):135-149. doi: 10.1002/cad.20359. Epub 2020 Sep 22. PMID: 32960503.
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Clinical utility gene card for: Long-QT syndrome.

European journal of human genetics : EJHG

Beckmann BM, Scheiper-Welling S, Wilde AAM, Kääb S, Schulze-Bahr E, Kauferstein S.
PMID: 34031550
Eur J Hum Genet. 2021 Dec;29(12):1825-1832. doi: 10.1038/s41431-021-00904-y. Epub 2021 May 24.

No abstract available.

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Beckmann BM, Scheiper-Welling S, Wilde AAM, et al. Clinical utility gene card for: Long-QT syndrome. Eur J Hum Genet. 2021;29(12):1825-1832doi: 10.1038/s41431-021-00904-y.
Beckmann, B. M., Scheiper-Welling, S., Wilde, A. A. M., Kääb, S., Schulze-Bahr, E., & Kauferstein, S. (2021). Clinical utility gene card for: Long-QT syndrome. European journal of human genetics : EJHG, 29(12), 1825-1832. https://doi.org/10.1038/s41431-021-00904-y
Beckmann, Britt M, et al. "Clinical utility gene card for: Long-QT syndrome." European journal of human genetics : EJHG vol. 29,12 (2021): 1825-1832. doi: https://doi.org/10.1038/s41431-021-00904-y
Beckmann BM, Scheiper-Welling S, Wilde AAM, Kääb S, Schulze-Bahr E, Kauferstein S. Clinical utility gene card for: Long-QT syndrome. Eur J Hum Genet. 2021 Dec;29(12):1825-1832. doi: 10.1038/s41431-021-00904-y. Epub 2021 May 24. PMID: 34031550.
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White Matter Microstructure in Attention-Deficit/Hyperactivity Disorder: A Systematic Tractography Study in 654 Individuals.

Biological psychiatry. Cognitive neuroscience and neuroimaging

Damatac CG, Chauvin RJM, Zwiers MP, van Rooij D, Akkermans SEA, Naaijen J, Hoekstra PJ, Hartman CA, Oosterlaan J, Franke B, Buitelaar JK, Beckmann CF, Sprooten E.
PMID: 33054990
Biol Psychiatry Cogn Neurosci Neuroimaging. 2020 Aug 01; doi: 10.1016/j.bpsc.2020.07.015. Epub 2020 Aug 01.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by age-inappropriate levels of inattention and/or hyperactivity-impulsivity. ADHD has been related to differences in white matter (WM) microstructure. However, much remains unclear regarding the nature of these WM differences and...

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Damatac CG, Chauvin RJM, Zwiers MP, et al. White Matter Microstructure in Attention-Deficit/Hyperactivity Disorder: A Systematic Tractography Study in 654 Individuals. Biol Psychiatry Cogn Neurosci Neuroimaging. 2020;doi: 10.1016/j.bpsc.2020.07.015.
Damatac, C. G., Chauvin, R. J. M., Zwiers, M. P., van Rooij, D., Akkermans, S. E. A., Naaijen, J., Hoekstra, P. J., Hartman, C. A., Oosterlaan, J., Franke, B., Buitelaar, J. K., Beckmann, C. F., & Sprooten, E. (2020). White Matter Microstructure in Attention-Deficit/Hyperactivity Disorder: A Systematic Tractography Study in 654 Individuals. Biological psychiatry. Cognitive neuroscience and neuroimaging, . https://doi.org/10.1016/j.bpsc.2020.07.015
Damatac, Christienne G, et al. "White Matter Microstructure in Attention-Deficit/Hyperactivity Disorder: A Systematic Tractography Study in 654 Individuals." Biological psychiatry. Cognitive neuroscience and neuroimaging vol. (2020). doi: https://doi.org/10.1016/j.bpsc.2020.07.015
Damatac CG, Chauvin RJM, Zwiers MP, van Rooij D, Akkermans SEA, Naaijen J, Hoekstra PJ, Hartman CA, Oosterlaan J, Franke B, Buitelaar JK, Beckmann CF, Sprooten E. White Matter Microstructure in Attention-Deficit/Hyperactivity Disorder: A Systematic Tractography Study in 654 Individuals. Biol Psychiatry Cogn Neurosci Neuroimaging. 2020 Aug 01; doi: 10.1016/j.bpsc.2020.07.015. Epub 2020 Aug 01. PMID: 33054990.
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