Publication: The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium
The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium
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Bruin, W. B., Abe, Y., Alonso, P., Anticevic, A., Backhausen, L. L., Balachander, S., Bargallo, N., Batistuzzo, M. C., Benedetti, F., Bertolin Triquell, S., Brem, S., Calesella, F., Couto, B., Denys, D. A. J. P., Echevarria, M. A. N., Eng, G. K., Ferreira, S., Feusner, J. D., Grazioplene, R. G., … et al. (2023). The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium. Molecular Psychiatry, 28, 4307–4319. https://doi.org/10.1038/s41380-023-02077-0
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Current knowledge about functional connectivity in obsessive-compulsive disorder (OCD) is based on small-scale studies, limiting the generalizability of results. Moreover, the majority of studies have focused only on predefined regions or functional networks rather than connectivity throughout the entire brain. Here, we investigated differences in resting-state functional connectivity between OCD patients and healthy controls (HC) using mega-analysis of data from 1024 OCD patients and 1028 HC from 28 independent samples of the ENIGMA-
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Bruin, W. B., Abe, Y., Alonso, P., Anticevic, A., Backhausen, L. L., Balachander, S., Bargallo, N., Batistuzzo, M. C., Benedetti, F., Bertolin Triquell, S., Brem, S., Calesella, F., Couto, B., Denys, D. A. J. P., Echevarria, M. A. N., Eng, G. K., Ferreira, S., Feusner, J. D., Grazioplene, R. G., … et al. (2023). The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium. Molecular Psychiatry, 28, 4307–4319. https://doi.org/10.1038/s41380-023-02077-0