The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Abnormal asymmetries in subcortical brain volume in schizophrenia
Open accessAbstract
Subcortical structures, which include the basal ganglia and parts of the limbic system, have key roles in learning, motor control and emotion, but also contribute to higher-order executive functions. Prior studies have reported volumetric alterations in subcortical regions in schizophrenia. Reported results have sometimes been heterogeneous, and few large-scale investigations have been conducted. Moreover, few large-scale studies have assessed asymmetries of subcortical volumes in schizophrenia. Here, as a work completely independent of a study performed by the ENIGMA consortium, we conducted a large-scale multisite study of subcortical volumetric differences between patients with schizophrenia and controls. We also explored the laterality of subcortical regions to identify characteristic similarities and differences between them. T1-weighted images from 1680 healthy individuals and 884 patients with schizophrenia, obtained with 15 imaging protocols at 11 sites, were processed with FreeSurfer. Group differences were calculated for each protocol and meta-analyzed. Compared with controls, patients with schizophrenia demonstrated smaller bilateral hippocampus, amygdala, thalamus and accumbens volumes as well as intracranial volume, but larger bilateral caudate, putamen, pallidum and lateral ventricle volumes. We replicated the rank order of effect sizes for subcortical volumetric changes in schizophrenia reported by the ENIGMA consortium. Further, we revealed leftward asymmetry for thalamus, lateral ventricle, caudate and putamen volumes, and rightward asymmetry for amygdala and hippocampal volumes in both controls and patients with schizophrenia. Also, we demonstrated a schizophrenia-specific leftward asymmetry for pallidum volume. These findings suggest the possibility of aberrant laterality in neural pathways and connectivity patterns related to the pallidum in schizophrenia.
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Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193146 · Cited by 65,971
The reward circuit: linking primate anatomy and human imaging
Haber, S. N., & Knutson, B. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.129 · Cited by 3,718
Cortical inhibitory neurons and schizophrenia
Lewis, D. A., Hashimoto, T., & Volk, D. W. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1648 · Cited by 2,297
Weinberger, D. R. (1986) · Archives of General Psychiatry · doi:10.1001/archpsyc.1986.01800020020004 · Cited by 2,019
Neural systems for recognizing emotion
Adolphs, R. (2002) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(02)00301-x · Cited by 1,933
Meta-analysis of regional brain volumes in schizophrenia
Wright, I. C., Rabe-Hesketh, S., Woodruff, P. W. R., David, A. S., Murray, R. M., & Bullmore, E. T. (2000) · American Journal of Psychiatry · doi:10.1176/ajp.157.1.16 · Cited by 1,662
Toga, A. W., & Thompson, P. M. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1009 · Cited by 1,495
Self-citationfor the ENIGMA-Major Depressive Disorder Working Group, Schmaal, L., Veltman, D. J., van Erp, T. G. M., Sämann, P. G., Frodl, T., Jahanshad, N., Loehrer, E., Tiemeier, H., Hofman, A., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.69 · Cited by 1,172
Self-citationfor the ENIGMA Schizophrenia Working Group, van Erp, T. G. M., Hibar, D. P., Rasmussen, J. M., Glahn, D. C., Pearlson, G. D., Andreassen, O. A., Agartz, I., Westlye, L. T., Haukvik, U. K., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.63 · Cited by 1,135
Self-citationBrain Volumes in Schizophrenia: A Meta-Analysis in Over 18 000 Subjects
Haijma, S. V., Van Haren, N., Cahn, W., Koolschijn, P. C. M. P., Hulshoff Pol, H. E., & Kahn, R. S. (2013) · Schizophrenia Bulletin · doi:10.1093/schbul/sbs118 · Cited by 1,012
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Sex differences in the developing brain: insights from multimodal neuroimaging
Kaczkurkin, A. N., Raznahan, A., & Satterthwaite, T. D. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-018-0111-z · Cited by 403
Graham, A. M., Rasmussen, J. M., Rudolph, M. D., Heim, C. M., Gilmore, J. H., Styner, M., Potkin, S. G., Entringer, S., Wadhwa, P. D., Fair, D. A., et al. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.05.027 · Cited by 282
Haukvik, U. K., Tamnes, C. K., Söderman, E., & Agartz, I. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.08.012 · Cited by 220
Graham, A. M., Rasmussen, J. M., Entringer, S., Ben Ward, E., Rudolph, M. D., Gilmore, J. H., Styner, M., Wadhwa, P. D., Fair, D. A., & Buss, C. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.06.023 · Cited by 203
ENIGMA Clinical High Risk for Psychosis Working Group, Jalbrzikowski, M., Hayes, R. A., Wood, S. J., Nordholm, D., Zhou, J. H., Fusar-Poli, P., Uhlhaas, P. J., Takahashi, T., Sugranyes, G., et al. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2021.0638 · Cited by 137
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Metadata
- Authors
- COCORO, Okada, N., Fukunaga, M., Yamashita, F., Koshiyama, D., Yamamori, H., Ohi, K., Yasuda, Y., Fujimoto, M., Watanabe, Y., Yahata, N., Nemoto, K., Hibar, D. P., van Erp, T. G. M., Fujino, H., Isobe, M., Isomura, S., Natsubori, T., Narita, H., Hashimoto, N., Miyata, J., Koike, S., Takahashi, T., Yamasue, H., Matsuo, K., Onitsuka, T., Iidaka, T., Kawasaki, Y., Yoshimura, R., Watanabe, Y., Suzuki, M., Turner, J. A., Takeda, M., Thompson, P. M., Ozaki, N., Kasai, K., & Hashimoto, R.
- Venue
- Molecular Psychiatry
- Published
- 2016-01-19
- Volume
- 21
- Issue
- 10
- Pages
- 1460-1466
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- OpenAlex
- W2317568490
- Cited by
- 369
- References
- 74
- FWCI
- 28.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- COCORO, Okada, N., Fukunaga, M., Yamashita, F., Koshiyama, D., Yamamori, H., Ohi, K., Yasuda, Y., Fujimoto, M., Watanabe, Y., Yahata, N., Nemoto, K., Hibar, D. P., van Erp, T. G. M., Fujino, H., Isobe, M., Isomura, S., Natsubori, T., Narita, H., . . . Hashimoto, R. (2016). Abnormal asymmetries in subcortical brain volume in schizophrenia. Molecular Psychiatry. https://doi.org/10.1038/mp.2015.209
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