PreNeSt

Pre-mapping Networks for Brain Stimulation

Project Aims
The term affective disorders include disorders in which significant changes in mood, including periods of depression or mania, preponderate over a more stable mood range. Transcranial magnetic stimulation (TMS) is a new method that can help most patients to whom conventional medicines and therapies are not effective. Although TMS is already used as a promising treatment method, its effect on those brain networks that are disrupted in depression or mania is scarcely researched. The purpose of the e:Med Research Group for the project Pre-mapping Networks for Brain Stimulation (PreNeSt) is to systematically examine the changes in these brain networks caused by TMS interventions and thereby lead to a better understanding of its mechanisms of action.

Work planning
Using functional magnetic resonance imaging (fMRI), relevant brain networks are initially identified and analyzed in healthy subjects. The distribution of these networks should vary slightly from person to person. Therefore, each individual brain scan collected will provide us with the chance of specifically aligning the TMS application to the individual and ensuring optimal stimulation. Following the TMS stimulation of particular regions of interest within the network, we use fMRI to re-examine local and global neural changes implicated in the reconfiguration of the networks. In a second phase of the project, the insights from the initial phase will be transferred to the investigation and implementation of individualized, network-based TMS stimulation in patients with affective disorders.

Keywords: affective, depression, mania, brain, stimulation, therapy, networks, fMRI, disorder, psychiatry, psychiatric, manic, depressive, TMS, mapping, image

Publications

^{Belov, V., V. Kozyrev, A. Singh, M. D. Sacchet, and R. Goya-Maldonado (2023). "Subject-specific whole-brain parcellations of nodes and boundaries are modulated differently under 10 Hz rTMS." Sci. Rep. 13(12615): 1–13. doi.org/10.1038/s41598-023-38946-5.}

^{Blum, D., T. Hepp, V. Belov, R. Goya-Maldonado, C. la Fougère, and M. Reimold (2023). "Estimating uncertainty in read-out patterns: Application to controls-based denoising and voxel-based morphometry patterns in neurodegenerative and neuropsychiatric diseases." Hum Brain Mapp n/a(n/a). doi.org/10.1002/hbm.26246.}

^{Brodmann, K., O. Gruber, and R. Goya-Maldonado (2017). "Intranasal Oxytocin Selectively Modulates Large-Scale Brain Networks in Humans." Brain Connectivity 7(7): 454-463. www.ncbi.nlm.nih.gov/pubmed/28762756.}

^{Marten, L. E., A. Singh, A. M. Muellen, S. M. Noack, V. Kozyrev, R. Schweizer, and R. Goya-Maldonado (2023). "Motor performance and functional connectivity between the posterior cingulate cortex and supplementary motor cortex in bipolar and unipolar depression." Eur. Arch. Psychiatry Clin. Neurosci.: 1–17. doi.org/10.1007/s00406-023-01671-1.}

^{Neuteboom, D., J. B. Zantvoord, R. Goya-Maldonado, J. Wilkening, A. Dols, E. van Exel, A. Lok, L. de Haan, and K. W. F. Scheepstra (2023). "Accelerated intermittent theta burst stimulation in major depressive disorder: A systematic review." Psychiatry Res. 327: 115429. doi.org/10.1016/j.psychres.2023.115429.}

^{Singh, A., T. Erwin-Grabner, R. Goya-Maldonado, and A. Antal (2019). "Transcranial Magnetic and Direct Current Stimulation in the Treatment of Depression: Basic Mechanisms and Challenges of Two Commonly Used Brain Stimulation Methods in Interventional Psychiatry." Neuropsychobiology: 1-11. www.ncbi.nlm.nih.gov/pubmed/31487716.}

^{Singh, A., T. Erwin-Grabner, G. Sutcliffe, A. Antal, W. Paulus, and R. Goya-Maldonado (2019). "Personalized repetitive transcranial magnetic stimulation temporarily alters default mode network in healthy subjects." Sci Rep 9(1): 5631. www.ncbi.nlm.nih.gov/pubmed/30948765.}

^{Singh, A., T. Erwin-Grabner, G. Sutcliffe, W. Paulus, P. Dechent, A. Antal, and R. Goya-Maldonado (2020). "Default mode network alterations after intermittent theta burst stimulation in healthy subjects." J Transl Psychiatry 10(1): 1--10. www.nature.com/articles/s41398-020-0754-5.}

^{Tura, A., and R. Goya-Maldonado (2023). "Brain connectivity in major depressive disorder: a precision component of treatment modalities?" Transl. Psychiatry 13(196): 1–17. doi.org/10.1038/s41398-023-02499-y.}

^{Whittle, S., D. Rakesh, L. Schmaal, D. J. Veltman, P. M. Thompson, A. Singh, A. S. Gonul, A. Aleman, A. Uyar Demir, A. Krug, B. Mwangi, B. Krämer, B. T. Baune, D. J. Stein, D. Grotegerd, E. Pomarol-Clotet, E. Rodríguez-Cano, E. Melloni, F. Benedetti, F. Stein, H. J. Grabe, H. Völzke, I. H. Gotlib, I. Nenadić, J. C. Soares, J. Repple, K. Sim, K. Brosch, K. Wittfeld, K. Berger, M. Hermesdorf, M. J. Portella, M. D. Sacchet, M. J. Wu, N. Opel, N. A. Groenewold, O. Gruber, P. Fuentes-Claramonte, R. Salvador, R. Goya-Maldonado, S. Sarró, S. Poletti, S. L. Meinert, T. Kircher, U. Dannlowski, and E. Pozzi (2022). "The role of educational attainment and brain morphology in major depressive disorder: Findings from the ENIGMA major depressive disorder consortium." J Psychopathol Clin Sci. pubmed.ncbi.nlm.nih.gov/35653754/.}