Hostname: page-component-76fb5796d-wq484 Total loading time: 0 Render date: 2024-04-26T04:52:09.970Z Has data issue: false hasContentIssue false
  • English
  • Français

Functional and structural brain differences in bipolar disorder: a multimodal meta-analysis of neuroimaging studies

Published online by Cambridge University Press:  12 September 2022

Guanmao Chen ,
Junjing Wang ,
Jiaying Gong ,
Zhangzhang Qi ,
Siying Fu ,
Guixian Tang ,
Pan Chen ,
Li Huang  and
Ying Wang Open the ORCID record for Ying Wang [Opens in a new window]
Guanmao Chen
Affiliation:
Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
Junjing Wang
Affiliation:
Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, 510006, China
Jiaying Gong
Affiliation:
Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China Department of Radiology, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
Zhangzhang Qi
Affiliation:
Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
Siying Fu
Affiliation:
Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
Guixian Tang
Affiliation:
Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
Pan Chen
Affiliation:
Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
Li Huang
Affiliation:
Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
Ying Wang*
Affiliation:
Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, 510630, China Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
*
Author for correspondence: Ying Wang, E-mail: johneil@vip.sina.com
Get access Rights & Permissions [Opens in a new window]

Abstract

Background

Numerous studies of resting-state functional imaging and voxel-based morphometry (VBM) have revealed differences in specific brain regions of patients with bipolar disorder (BD), but the results have been inconsistent.

Methods

A whole-brain voxel-wise meta-analysis was conducted on resting-state functional imaging and VBM studies that compared differences between patients with BD and healthy controls using Seed-based d Mapping with Permutation of Subject Images software.

Results

A systematic literature search identified 51 functional imaging studies (1842 BD and 2190 controls) and 83 VBM studies (2790 BD and 3690 controls). Overall, patients with BD displayed increased resting-state functional activity in the left middle frontal gyrus, right inferior frontal gyrus (IFG) extending to the right insula, right superior frontal gyrus and bilateral striatum, as well as decreased resting-state functional activity in the left middle temporal gyrus extending to the left superior temporal gyrus and post-central gyrus, left cerebellum, and bilateral precuneus. The meta-analysis of VBM showed that patients with BD displayed decreased VBM in the right IFG extending to the right insula, temporal pole and superior temporal gyrus, left superior temporal gyrus extending to the left insula, temporal pole, and IFG, anterior cingulate cortex, left superior frontal gyrus (medial prefrontal cortex), left thalamus, and right fusiform gyrus.

Conclusions

The multimodal meta-analyses suggested that BD showed similar patterns of aberrant brain activity and structure in the insula extending to the temporal cortex, fronto-striatal-thalamic, and default-mode network regions, which provide useful insights for understanding the underlying pathophysiology of BD.

Keywords

bipolar disordermeta-analysismultimodalresting-state functional imagingvoxel-based morphometry
Type
Review Article
Information
Psychological Medicine , Volume 52 , Issue 14 , October 2022 , pp. 2861 - 2873
Check for updates
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

Guanmao Chen, Junjing Wang and Jiaying Gong contributed equally to this work.

References

Abramovic, L., Boks, M. P. M., Vreeker, A., Bouter, D. C., Kruiper, C., Verkooijen, S., … van Haren, N. E. M. (2016). The association of antipsychotic medication and lithium with brain measures in patients with bipolar disorder. European Neuropsychopharmacology, 26, 1741–1751. doi: 10.1016/j.euroneuro.2016.09.371CrossRefGoogle ScholarPubMed
Albajes-Eizagirre, A., Solanes, A., & Radua, J. (2019a). Meta-analysis of non-statistically significant unreported effects. Statistical Methods in Medical Research, 28, 3741–3754. doi: 10.1177/0962280218811349CrossRefGoogle ScholarPubMed
Albajes-Eizagirre, A., Solanes, A., Vieta, E., & Radua, J. (2019b). Voxel-based meta-analysis via permutation of subject images (PSI): Theory and implementation for SDM. Neuroimage, 186, 174–184. doi: 10.1016/j.neuroimage.2018.10.077CrossRefGoogle ScholarPubMed
Almeida, J. R. C., Akkal, D., Hassel, S., Travis, M. J., Banihashemi, L., Kerr, N., … Phillips, M. L. (2009). Reduced gray matter volume in ventral prefrontal cortex but not amygdala in bipolar disorder: Significant effects of gender and trait anxiety. Psychiatry Research-Neuroimaging, 171, 54–68. doi: 10.1016/j.pscychresns.2008.02.001CrossRefGoogle Scholar
Alonso-Lana, S., Goikolea, J. M., Bonnin, C. M., Sarro, S., Segura, B., Amann, B. L., … McKenna, P. J. (2016). Structural and functional brain correlates of cognitive impairment in euthymic patients with bipolar disorder. Plos One, 11, e0158867. doi: 10.1371/journal.pone.0158867CrossRefGoogle ScholarPubMed
Altamura, A. C., Maggioni, E., Dhanoa, T., Ciappolino, V., Paoli, R. A., Cremaschi, L., … Brambilla, P. (2018). The impact of psychosis on brain anatomy in bipolar disorder: A structural MRI study. Journal of Affective Disorders, 233, 100–109. doi: 10.1016/j.jad.2017.11.092CrossRefGoogle ScholarPubMed
Ambrosi, E., Rossi-Espagnet, M. C., Kotzalidis, G. D., Comparelli, A., Del Casale, A., Carducci, F., … Girardi, P. (2013). Structural brain alterations in bipolar disorder II: A combined voxel-based morphometry (VBM) and diffusion tensor imaging (DTI) study. Journal of Affective Disorders, 150, 610–615. doi: 10.1016/j.jad.2013.02.023CrossRefGoogle Scholar
Anderson, B. J. (2011). Plasticity of gray matter volume: The cellular and synaptic plasticity that underlies volumetric change. Developmental Psychobiology, 53, 456–465. doi: 10.1002/dev.20563CrossRefGoogle ScholarPubMed
Augustine, J. R. (1996). Circuitry and functional aspects of the insular lobe in primates including humans. Brain Research Reviews, 22, 229–244. doi: 10.1016/s0165-0173(96)00011-2CrossRefGoogle ScholarPubMed
Barta, P. E., Pearlson, G. D., Powers, R. E., Richards, S. S., & Tune, L. E. (1990). Auditory hallucinations and smaller superior temporal gyral volume in schizophrenia. The American Journal of Psychiatry, 147, 1457–1462.Google ScholarPubMed
Bennett, C. M., & Miller, M. B. (2010). How reliable are the results from functional magnetic resonance imaging? Annals of the New York Academy of Sciences, 1191, 133–155. doi: 10.1111/j.1749-6632.2010.05446.xCrossRefGoogle ScholarPubMed
Biswal, B., Yetkin, F. Z., Haughton, V. M., & Hyde, J. S. (1995). Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magnetic Resonance in Medicine, 34, 537–541. doi: 10.1002/mrm.1910340409CrossRefGoogle ScholarPubMed
Blumberg, H. P., Stern, E., Martinez, D., Ricketts, S., de Asis, J., White, T., … Silbersweig, D. A. (2000). Increased anterior cingulate and caudate activity in bipolar mania. Biological Psychiatry, 48, 1045–1052. doi: 10.1016/s0006-3223(00)00962-8CrossRefGoogle ScholarPubMed
Bøen, E., Hjørnevik, T., & Hummelen, B. (2019). Patterns of altered regional brain glucose metabolism in borderline personality disorder and bipolar II disorder. Acta Psychiatrica Scandinavica, 139, 256–268. doi: 10.1111/acps.12997Google ScholarPubMed
Bora, E., Fornito, A., Yuecel, M., & Pantelis, C. (2012). The effects of gender on grey matter abnormalities in major psychoses: A comparative voxelwise meta-analysis of schizophrenia and bipolar disorder. Psychological Medicine, 42, 295–307. doi: 10.1017/s0033291711001450CrossRefGoogle ScholarPubMed
Brooks, J. O., Hoblyn, J. C., & Ketter, T. A. (2010). Metabolic evidence of corticolimbic dysregulation in bipolar mania. Psychiatry Research-Neuroimaging, 181, 136–140. doi: 10.1016/j.pscychresns.2009.08.006CrossRefGoogle ScholarPubMed
Brooks, J. O., Hoblyn, J. C., Woodard, S. A., Rosen, A. C., & Ketter, T. A. (2009). Corticolimbic metabolic dysregulation in euthymic older adults with bipolar disorder. Journal of Psychiatric Research, 43, 497–502. doi: 10.1016/j.jpsychires.2008.08.001CrossRefGoogle ScholarPubMed
Brown, G. G., Lee, J. S., Strigo, I. A., Caligiuri, M. P., Meloy, M. J., & Lohr, J. (2011). Voxel-based morphometry of patients with schizophrenia or bipolar I disorder: A matched control study. Psychiatry Research-Neuroimaging, 194, 149–156. doi: 10.1016/j.pscychresns.2011.05.005CrossRefGoogle ScholarPubMed
Bruno, S. D., Barker, G. J., Cercignani, M., Symms, M., & Ron, M. A. (2004). A study of bipolar disorder using magnetization transfer imaging and voxel-based morphometry. Brain, 127, 2433–2440. doi: 10.1093/brain/awh274CrossRefGoogle ScholarPubMed
Buxton, R. B., Uludağ, K., Dubowitz, D. J., & Liu, T. T. (2004). Modeling the hemodynamic response to brain activation. Neuroimage, 23(Suppl 1), S220–S233. doi: 10.1016/j.neuroimage.2004.07.013CrossRefGoogle ScholarPubMed
Cai, Y., Liu, J., Zhang, L., Liao, M., Zhang, Y., Wang, L. F., … Li, L. J. (2015). Grey matter volume abnormalities in patients with bipolar I depressive disorder and unipolar depressive disorder: A voxel-based morphometry study. Neuroscience Bulletin, 31, 4–12. doi: 10.1007/s12264-014-1485-5CrossRefGoogle ScholarPubMed
Calhoun, V. D., Adali, T., Giuliani, N. R., Pekar, J. J., Kiehl, K. A., & Pearlson, G. D. (2006). Method for multimodal analysis of independent source differences in schizophrenia: Combining gray matter structural and auditory oddball functional data. Human Brain Mapping, 27, 47–62. doi: 10.1002/hbm.20166CrossRefGoogle ScholarPubMed
Carlisi, C. O., Norman, L. J., Lukito, S. S., Radua, J., Mataix-Cols, D., & Rubia, K. (2017). Comparative multimodal meta-analysis of structural and functional brain abnormalities in autism spectrum disorder and obsessive-compulsive disorder. Biological Psychiatry, 82, 83–102. doi: 10.1016/j.biopsych.2016.10.006CrossRefGoogle ScholarPubMed
Cattarinussi, G., Di Giorgio, A., Wolf, R. C., Balestrieri, M., & Sambataro, F. (2019). Neural signatures of the risk for bipolar disorder: A meta-analysis of structural and functional neuroimaging studies. Bipolar Disorders, 21, 215–227. doi: 10.1111/bdi.12720CrossRefGoogle ScholarPubMed
Chen, C. H., Suckling, J., Lennox, B. R., Ooi, C., & Bullmore, E. T. (2011). A quantitative meta-analysis of fMRI studies in bipolar disorder. Bipolar Disorders, 13, 1–15. doi: 10.1111/j.1399-5618.2011.00893.xCrossRefGoogle ScholarPubMed
Chen, G., Chen, P., Gong, J., Jia, Y., Zhong, S., Chen, F., … Wang, Y. (2020a). Shared and specific patterns of dynamic functional connectivity variability of striato-cortical circuitry in unmedicated bipolar and major depressive disorders. Psychological Medicine, 52, 1–10. doi: 10.1017/s0033291720002378Google ScholarPubMed
Chen, M. H., Kao, Z. K., Chang, W. C., Tu, P. C., Hsu, J. W., Huang, K. L., … Bai, Y. M. (2020b). Increased proinflammatory cytokines, executive dysfunction, and reduced gray matter volumes in first-episode bipolar disorder and major depressive disorder. Journal of Affective Disorders, 274, 825–831. doi: 10.1016/j.jad.2020.05.158CrossRefGoogle ScholarPubMed
Chen, X. H., Wen, W., Malhi, G. S., Ivanovski, B., & Sachdev, P. S. (2007). Regional gray matter changes in bipolar disorder: A voxel-based morphometric study. Australian and New Zealand Journal of Psychiatry, 41, 327–336. doi: 10.1080/00048670701213229CrossRefGoogle ScholarPubMed
Chen, Z. F., Cui, L. Q., Li, M. L., Jiang, L. J., Deng, W., Ma, X. H., … Li, T. (2012). Voxel-based morphometric and diffusion tensor imaging analysis in male bipolar patients with first-episode mania. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 36, 231–238. doi: 10.1016/j.pnpbp.2011.11.002CrossRefGoogle ScholarPubMed
Chen, Z.-Q., Du, M.-Y., Zhao, Y.-J., Huang, X.-Q., Li, J., Lui, S., … Gong, Q.-Y. (2015). Voxel-wise meta-analyses of brain blood flow and local synchrony abnormalities in medication-free patients with major depressive disorder. Journal of Psychiatry & Neuroscience, 40, 401–411. doi: 10.1503/jpn.140119CrossRefGoogle ScholarPubMed
Clemensson, E. K. H., Clemensson, L. E., Riess, O., & Huu Phuc, N. (2017). The BACHD rat model of Huntington disease shows signs of fronto-striatal dysfunction in two operant conditioning tests of short-term memory. Plos One, 12, e0169051. doi: 10.1371/journal.pone.0169051CrossRefGoogle ScholarPubMed
Cronenwett, W. J., & Csernansky, J. (2010). Thalamic pathology in schizophrenia. Current topics in behavioral neurosciences, 4, 509–528. doi: 10.1007/7854_2010_55CrossRefGoogle ScholarPubMed
Cui, L. Q., Li, M. L., Deng, W., Guo, W. J., Ma, X. H., Huang, C. H., … Li, T. (2011). Overlapping clusters of gray matter deficits in paranoid schizophrenia and psychotic bipolar mania with family history. Neuroscience Letters, 489, 94–98. doi: 10.1016/j.neulet.2010.11.073CrossRefGoogle ScholarPubMed
Darki, F., & Klingberg, T. (2015). The role of fronto-parietal and fronto-striatal networks in the development of working memory: A longitudinal study. Cerebral Cortex, 25, 1587–1595. doi: 10.1093/cercor/bht352CrossRefGoogle ScholarPubMed
de Leeuw, M., Kahn, R. S., & Vink, M. (2015). Fronto-striatal dysfunction during reward processing in unaffected siblings of schizophrenia patients. Schizophrenia Bulletin, 41, 94–103. doi: 10.1093/schbul/sbu153CrossRefGoogle ScholarPubMed
Ding, L. (2015). Distinct dynamics of ramping activity in the frontal cortex and caudate nucleus in monkeys. Journal of Neurophysiology, 114, 1850–1861. doi: 10.1152/jn.00395.2015CrossRefGoogle ScholarPubMed
Eker, C., Simsek, F., Yilmazer, E. E., Kitis, O., Cinar, C., Eker, O. D., … Gonul, A. S. (2014). Brain regions associated with risk and resistance for bipolar I disorder: A voxel-based MRI study of patients with bipolar disorder and their healthy siblings. Bipolar Disorders, 16, 249–261. doi: 10.1111/bdi.12181CrossRefGoogle ScholarPubMed
Ellison-Wright, I., & Bullmore, E. (2010). Anatomy of bipolar disorder and schizophrenia: A meta-analysis. Schizophrenia Research, 117, 1–12. doi: 10.1016/j.schres.2009.12.022CrossRefGoogle ScholarPubMed
Frangou, S. (2012). Brain structural and functional correlates of resilience to bipolar disorder. Frontiers in Human Neuroscience, 5, 10. doi: 10.3389/fnhum.2011.00184CrossRefGoogle ScholarPubMed
Ganzola, R., & Duchesne, S. (2017). Voxel-based morphometry meta-analysis of gray and white matter finds significant areas of differences in bipolar patients from healthy controls. Bipolar Disorders, 19, 74–83. doi: 10.1111/bdi.12488CrossRefGoogle ScholarPubMed
Germana, C., Kempton, M. J., Sarnicola, A., Christodoulou, T., Haldane, M., Hadjulis, M., … Frangou, S. (2010). The effects of lithium and anticonvulsants on brain structure in bipolar disorder. Acta Psychiatrica Scandinavica, 122, 481–487. doi: 10.1111/j.1600-0447.2010.01582.xCrossRefGoogle ScholarPubMed
Gong, J., Chen, G., Jia, Y., Zhong, S., Zhao, L., Luo, X., … Wang, Y. (2019). Disrupted functional connectivity within the default mode network and salience network in unmedicated bipolar II disorder. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 88, 11–18. doi: 10.1016/j.pnpbp.2018.06.012CrossRefGoogle ScholarPubMed
Gong, J., Wang, J., Qiu, S., Chen, P., Luo, Z., Wang, J., … Wang, Y. (2020). Common and distinct patterns of intrinsic brain activity alterations in major depression and bipolar disorder: Voxel-based meta-analysis. Translational Psychiatry, 10, 353. doi: 10.1038/s41398-020-01036-5CrossRefGoogle ScholarPubMed
Hajek, T., Alda, M., Hajek, E., & Ivanoff, J. (2013). Functional neuroanatomy of response inhibition in bipolar disorders - combined voxel-based and cognitive performance meta-analysis. Journal of Psychiatric Research, 47, 1955–1966. doi: 10.1016/j.jpsychires.2013.08.015CrossRefGoogle ScholarPubMed
Hajek, T., Calkin, C., Blagdon, R., Slaney, C., Uher, R., & Alda, M. (2014). Insulin resistance, diabetes mellitus, and brain structure in bipolar disorders. Neuropsychopharmacology, 39, 2910–2918. doi: 10.1038/npp.2014.148CrossRefGoogle ScholarPubMed
Hajek, T., Cullis, J., Novak, T., Kopecek, M., Hoschl, C., Blagdon, R., … Alda, M. (2012). Hippocampal volumes in bipolar disorders: Opposing effects of illness burden and lithium treatment. Bipolar Disorders, 14, 261–270. doi: 10.1111/j.1399-5618.2012.01013.xCrossRefGoogle ScholarPubMed
Hanford, L. C., Nazarov, A., Hall, G. B., & Sassi, R. B. (2016). Cortical thickness in bipolar disorder: A systematic review. Bipolar Disorders, 18, 4–18. doi: 10.1111/bdi.12362CrossRefGoogle ScholarPubMed
He, Z., Sheng, W., Lu, F., Long, Z., Han, S., Pang, Y., … Chen, H. (2019). Altered resting-state cerebral blood flow and functional connectivity of striatum in bipolar disorder and major depressive disorder. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 90, 177–185. doi: 10.1016/j.pnpbp.2018.11.009CrossRefGoogle ScholarPubMed
Hoffman, E. A., & Haxby, J. V. (2000). Distinct representations of eye gaze and identity in the distributed human neural system for face perception. Nature Neuroscience, 3, 80–84. doi: 10.1038/71152CrossRefGoogle ScholarPubMed
Houenou, J., Frommberger, J., Carde, S., Glasbrenner, M., Diener, C., Leboyer, M., & Wessa, M. (2011). Neuroimaging-based markers of bipolar disorder: Evidence from two meta-analyses. Journal of Affective Disorders, 132, 344–355. doi: 10.1016/j.jad.2011.03.016CrossRefGoogle ScholarPubMed
Kandilarova, S., Stoyanov, D., Sirakov, N., & Maes, M. (2019). Reduced grey matter volume in frontal and temporal areas in depression: Contributions from voxel-based morphometry study. Acta Neuropsychiatrica, 31, 252–257. doi: 10.1016/j.nicl.2020.102220.10.1017/neu.2019.20CrossRefGoogle ScholarPubMed
Kempton, M. J., Haldane, M., Jogia, J., Grasby, P. M., Collier, D., & Frangou, S. (2009). Dissociable brain structural changes associated with predisposition, resilience, and disease expression in bipolar disorder. Journal of Neuroscience, 29, 10863–10868. doi: 10.1523/jneurosci.2204-09.2009CrossRefGoogle ScholarPubMed
Ketter, T. A., Kimbrell, T. A., George, M. S., Dunn, R. T., Speer, A. M., Benson, B. E., … Post, R. M. (2001). Effects of mood and subtype on cerebral glucose metabolism in treatment-resistant bipolar disorder. Biological Psychiatry, 49, 97–109. doi: 10.1016/s0006-3223(00)00975-6CrossRefGoogle ScholarPubMed
Lee, D. K., Lee, H., Park, K., Joh, E., Kim, C. E., & Ryu, S. (2020). Common gray and white matter abnormalities in schizophrenia and bipolar disorder. PLoS One, 15, e0232826. doi: 10.1371/journal.pone.0232826CrossRefGoogle ScholarPubMed
Lei, D., Li, W., Tallman, M. J., Patino, L. R., McNamara, R. K., Strawn, J. R., … DelBello, M. P. (2021). Changes in the brain structural connectome after a prospective randomized clinical trial of lithium and quetiapine treatment in youth with bipolar disorder. Neuropsychopharmacology, 46, 1315–1323. doi: 10.1038/s41386-021-00989-5CrossRefGoogle ScholarPubMed
Li, H., Cui, L., Cao, L., Zhang, Y., Liu, Y., Deng, W., & Zhou, W. (2020). Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniques. BMC Psychiatry, 20, 488. doi: 10.1186/s12888-020-02886-5CrossRefGoogle ScholarPubMed
Li, M. L., Cui, L. Q., Deng, W., Ma, X. H., Huang, C. H., Jiang, L. J., … Li, T. (2011). Voxel-based morphometric analysis on the volume of gray matter in bipolar I disorder. Psychiatry Research-Neuroimaging, 191, 92–97. doi: 10.1016/j.pscychresns.2010.09.006CrossRefGoogle ScholarPubMed
Li, X. B., Nahas, Z., Kozel, F. A., Anderson, B., Bohning, D. E., & George, M. S. (2004). Acute left prefrontal transcranial magnetic stimulation in depressed patients is associated with immediately increased activity in prefrontal cortical as well as subcortical regions. Biological Psychiatry, 55, 882–890. doi: 10.1016/j.biopsych.2004.01.017CrossRefGoogle ScholarPubMed
Liu, C. H., Li, F., Li, S. F., Wang, Y. J., Tie, C. L., Wu, H. Y., … Wang, C. Y. (2012a). Abnormal baseline brain activity in bipolar depression: A resting-state functional magnetic resonance imaging study. Psychiatry Research – Neuroimaging, 203, 175–179. doi: 10.1016/j.pscychresns.2012.02.007…CrossRefGoogle ScholarPubMed
Liu, C. H., Ma, X., Li, F., Wang, Y. J., Tie, C. L., Li, S. F., … Wang, C. Y. (2012b). Regional homogeneity within the default mode network in bipolar depression: A resting-state functional magnetic resonance imaging study. Plos One, 7, e48181. doi: 10.1371/journal.pone.0048181CrossRefGoogle ScholarPubMed
Liu, F., Zhuo, C., & Yu, C. (2016). Altered cerebral blood flow covariance network in schizophrenia. Frontiers in Neuroscience, 10, 308. doi: 10.3389/fnins.2016.00308CrossRefGoogle ScholarPubMed
Lu, X., Zhong, Y., Ma, Z., Wu, Y., Fox, P. T., Zhang, N., & Wang, C. (2019). Structural imaging biomarkers for bipolar disorder: Meta-analyses of whole-brain voxel-based morphometry studies. Depression and Anxiety, 36, 353–364. doi: 10.1002/da.22866CrossRefGoogle ScholarPubMed
Lupo, M., Sicilianob, L., & Leggio, M. (2019). From cerebellar alterations to mood disorders: A systematic review. Neuroscience and Biobehavioral Reviews, 103, 21–28. doi: 10.1016/j.neubiorev.2019.06.008CrossRefGoogle ScholarPubMed
Magioncalda, P., Martino, M., Conio, B., Escelsior, A., Piaggio, N., Presta, A., … Amore, M. (2015). Functional connectivity and neuronal variability of resting state activity in bipolar disorder-reduction and decoupling in anterior cortical midline structures. Human Brain Mapping, 36, 666–682. doi: 10.1002/hbm.22655CrossRefGoogle ScholarPubMed
Matsuo, K., Kopecek, M., Nicoletti, M. A., Hatch, J. P., Watanabe, Y., Nery, F. G., … Soares, J. C. (2012). New structural brain imaging endophenotype in bipolar disorder. Molecular Psychiatry, 17, 412–420. doi: 10.1038/mp.2011.3CrossRefGoogle ScholarPubMed
McCarthy, M. J., Liang, S., Spadoni, A. D., Kelsoe, J. R., & Simmons, A. N. (2014). Whole brain expression of bipolar disorder associated genes: Structural and genetic analyses. PLoS ONE, 9, e100204. doi: 10.1371/journal.pone.0100204CrossRefGoogle ScholarPubMed
McDonald, C., Zanelli, J., Rabe-Hesketh, S., Ellison-Wright, I., Sham, P., Kalidindi, S., … Kennedy, N. (2004). Meta-analysis of magnetic resonance imaging brain morphometry studies in bipolar disorder. Biological Psychiatry, 56, 411–417. doi: 10.1016/j.biopsych.2004.06.021CrossRefGoogle ScholarPubMed
McTeague, L. M., Huemer, J., Carreon, D. M., Jiang, Y., Eickhoff, S. B., & Etkin, A. (2017). Identification of common neural circuit disruptions in cognitive control across psychiatric disorders. American Journal of Psychiatry, 174, 676–685. doi: 10.1176/appi.ajp.2017.16040400CrossRefGoogle ScholarPubMed
McTeague, L. M., Rosenberg, B. M., Lopez, J. W., Carreon, D. M., Huemer, J., Jiang, Y., … Etkin, A. (2020). Identification of common neural circuit disruptions in emotional processing across psychiatric disorders. American Journal of Psychiatry, 177, 411–421. doi: 10.1176/appi.ajp.2019.18111271CrossRefGoogle ScholarPubMed
Menon, V., & Uddin, L. Q. (2010). Saliency, switching, attention and control: A network model of insula function. Brain Structure & Function, 214, 655–667. doi: 10.1007/s00429-010-0262-0CrossRefGoogle ScholarPubMed
Merikangas, K. R., Akiskal, H. S., Angst, J., Greenberg, P. E., Hirschfeld, R. M. A., Petukhova, M., & Kessler, R. C. (2007). Lifetime and 12-month prevalence of bipolar spectrum disorder in the national comorbidity survey replication. Archives of General Psychiatry, 64, 543–552. doi: 10.1001/archpsyc.64.5.543CrossRefGoogle ScholarPubMed
Mitchell, R. L. C., Elliott, R., Barry, M., Cruttenden, A., & Woodruff, P. W. R. (2004). Neural response to emotional prosody in schizophrenia and in bipolar affective disorder. British Journal of Psychiatry, 184, 223–230. doi: 10.1192/bjp.184.3.223CrossRefGoogle ScholarPubMed
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Open Medicine, 3, e123–e130.Google ScholarPubMed
Molina, V., Galindo, G., Cortés, B., de Herrera, A. G., Ledo, A., Sanz, J., … Hernández-Tamames, J. A. (2011). Different gray matter patterns in chronic schizophrenia and chronic bipolar disorder patients identified using voxel-based morphometry. European Archives of Psychiatry and Clinical Neuroscience, 261, 313–322. doi: 10.1007/s00406-010-0183-1CrossRefGoogle ScholarPubMed
Morein-Zamir, S., & Robbins, T. W. (2015). Fronto-striatal circuits in response-inhibition: Relevance to addiction. Brain Research, 1628, 117–129. doi: 10.1016/j.brainres.2014.09.012CrossRefGoogle ScholarPubMed
Muhlert, N., & Lawrence, A. D. (2015). Brain structure correlates of emotion-based rash impulsivity. Neuroimage, 115, 138–146. doi: 10.1016/j.neuroimage.2015.04.061CrossRefGoogle ScholarPubMed
Nery, F. G., Monkul, E. S., & Lafer, B. (2013). Gray matter abnormalities as brain structural vulnerability factors for bipolar disorder: A review of neuroimaging studies of individuals at high genetic risk for bipolar disorder. Australian and New Zealand Journal of Psychiatry, 47, 1124–1135. doi: 10.1177/0004867413496482CrossRefGoogle ScholarPubMed
Oertel-Knochel, V., Reinke, B., Feddern, R., Knake, A., Knochel, C., Prvulovic, D., … Linden, D. E. J. (2014). Episodic memory impairments in bipolar disorder are associated with functional and structural brain changes. Bipolar Disorders, 16, 830–845. doi: 10.1111/bdi.12241CrossRefGoogle ScholarPubMed
Passingham, R. E., Toni, I., & Rushworth, M. F. S. (2000). Specialisation within the prefrontal cortex: The ventral prefrontal cortex and associative learning. Experimental Brain Research, 133, 103–113. doi: 10.1007/s002210000405CrossRefGoogle ScholarPubMed
Pavuluri, M. N., O'Connor, M. M., Harral, E., & Sweeney, J. A. (2007). Affective neural circuitry during facial emotion processing in pediatric bipolar disorder. Biological Psychiatry, 62, 158–167. doi: 10.1016/j.biopsych.2006.07.011CrossRefGoogle ScholarPubMed
Phillips, M. L., Ladouceur, C. D., & Drevets, W. C. (2008). A neural model of voluntary and automatic emotion regulation: Implications for understanding the pathophysiology and neurodevelopment of bipolar disorder. Molecular Psychiatry, 13, 833–857. doi: 10.1038/mp.2008.65CrossRefGoogle ScholarPubMed
Qiu, M., Zhang, H., Mellor, D., Shi, J., Wu, C., Huang, Y., … Peng, D. (2018). Aberrant neural activity in patients with bipolar depressive disorder distinguishing to the unipolar depressive disorder: A resting-state functional magnetic resonance imaging study. Frontiers in Psychiatry, 9, 238. doi: 10.3389/fpsyt.2018.00238CrossRefGoogle Scholar
Radua, J., Borgwardt, S., Crescini, A., Mataix-Cols, D., Meyer-Lindenberg, A., McGuire, P. K., & Fusar-Poli, P. (2012a). Multimodal meta-analysis of structural and functional brain changes in first episode psychosis and the effects of antipsychotic medication. Neuroscience and Biobehavioral Reviews, 36, 2325–2333. doi: 10.1016/j.neubiorev.2012.07.012CrossRefGoogle ScholarPubMed
Radua, J., & Mataix-Cols, D. (2009). Voxel-wise meta-analysis of grey matter changes in obsessive-compulsive disorder. British Journal of Psychiatry, 195, 393–402. doi: 10.1192/bjp.bp.108.055046CrossRefGoogle ScholarPubMed
Radua, J., Mataix-Cols, D., Phillips, M. L., El-Hage, W., Kronhaus, D. M., Cardoner, N., & Surguladze, S. (2012b). A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps. European Psychiatry, 27, 605–611. doi: 10.1016/j.eurpsy.2011.04.001CrossRefGoogle ScholarPubMed
Raichle, M. E. (2015). The brain's default mode network. Annual review of neuroscience, 38, 433-447. doi: 10.1146/annurev-neuro-071013-014030Google Scholar
Rajkowska, G. (2000). Postmortem studies in mood disorders indicate altered numbers of neurons and glial cells. Biological Psychiatry, 48, 766–777. doi: 10.1016/s0006-3223(00)00950-1CrossRefGoogle ScholarPubMed
Rogers, R. D., Ramnani, N., Mackay, C., Wilson, J. L., Jezzard, P., Carter, C. S., & Smith, S. M. (2004). Distinct portions of anterior cingulate cortex and medial prefrontal cortex are activated by reward processing in separable phases of decision-making cognition. Biological Psychiatry, 55, 594–602. doi: 10.1016/j.biopsych.2003.11.012CrossRefGoogle ScholarPubMed
Sani, G., Chiapponi, C., Piras, F., Ambrosi, E., Simonetti, A., Danese, E., … Spalletta, G. (2016). Gray and white matter trajectories in patients with bipolar disorder. Bipolar Disorders, 18, 52–62. doi: 10.1111/bdi.12359CrossRefGoogle ScholarPubMed
Selvaraj, S., Arnone, D., Job, D., Stanfield, A., Farrow, T. F. D., Nugent, A. C., … McIntosh, A. M. (2012). Grey matter differences in bipolar disorder: A meta-analysis of voxel-based morphometry studies. Bipolar Disorders, 14, 135–145. doi: 10.1111/j.1399-5618.2012.01000.x…CrossRefGoogle ScholarPubMed
Shaffer, J. J. Jr., Johnson, C. P., Fiedorowicz, J. G., Christensen, G. E., Wemmie, J. A., & Magnotta, V. A. (2018). Impaired sensory processing measured by functional MRI in bipolar disorder manic and depressed mood states. Brain Imaging and Behavior, 12, 837–847. doi: 10.1007/s11682-017-9741-8CrossRefGoogle ScholarPubMed
Shepherd, A. M., Matheson, S. L., Laurens, K. R., Carr, V. J., & Green, M. J. (2012). Systematic meta-analysis of insula volume in schizophrenia. Biological Psychiatry, 72, 775–784. doi: 10.1016/j.biopsych.2012.04.020CrossRefGoogle ScholarPubMed
Smith, S. M., & Nichols, T. E. (2009). Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage, 44, 83–98. doi: 10.1016/j.neuroimage.2008.03.061CrossRefGoogle ScholarPubMed
Speer, A. M., Kimbrell, T. A., Wassermann, E. M., Repella, J. D., Willis, M. W., Herscovitch, P., & Post, R. M. (2000). Opposite effects of high and low-frequency rTMS on regional brain activity in depressed patients. Biological Psychiatry, 48, 1133–1141. doi: 10.1016/s0006-3223(00)01065-9CrossRefGoogle ScholarPubMed
Stroup, D. F., Berlin, J. A., Morton, S. C., Olkin, I., Williamson, G. D., Rennie, D., … Grp, M. (2000). Meta-analysis of observational studies in epidemiology: A proposal for reporting. Jama-Journal of the American Medical Association, 283, 2008–2012. doi: 10.1001/jama.283.15.2008CrossRefGoogle ScholarPubMed
Sun, N., Li, Y., Zhang, A., Yang, C., Liu, P., Liu, Z., … Zhang, K. (2020). Fractional amplitude of low-frequency fluctuations and gray matter volume alterations in patients with bipolar depression. Neuroscience Letters, 730, 135030. doi: 10.1016/j.neulet.2020.135030CrossRefGoogle ScholarPubMed
Syan, S. K., Smith, M., Frey, B. N., Remtulla, R., Kapczinski, F., Hall, G. B. C., & Minuzzi, L. (2018). Resting-state functional connectivity in individuals with bipolar disorder during clinical remission: A systematic review. Journal of Psychiatry & Neuroscience, 43, 298–316. doi: 10.1503/jpn.170175CrossRefGoogle ScholarPubMed
Tabibnia, G., Monterosso, J. R., Baicy, K., Aron, A. R., Poldrack, R. A., Chakrapani, S., … London, E. D. (2011). Different forms of self-control share a neurocognitive substrate. Journal of Neuroscience, 31, 4805–4810. doi: 10.1523/jneurosci.2859-10.2011CrossRefGoogle Scholar
Toma, S., MacIntosh, B. J., Swardfager, W., & Goldstein, B. I. (2018). Cerebral blood flow in bipolar disorder: A systematic review. Journal of Affective Disorders, 241, 505–513. doi: 10.1016/j.jad.2018.08.040CrossRefGoogle ScholarPubMed
Vai, B., Parenti, L., Bollettini, I., Cara, C., Verga, C., Melloni, E., … Benedetti, F. (2020). Predicting differential diagnosis between bipolar and unipolar depression with multiple kernel learning on multimodal structural neuroimaging. European Neuropsychopharmacology, 34, 28–38. doi: 10.1016/j.euroneuro.2020.03.008CrossRefGoogle ScholarPubMed
Vargas, C., Lopez-Jaramillo, C., & Vieta, E. (2013). A systematic literature review of resting-state network-functional MRI in bipolar disorder. Journal of Affective Disorders, 150, 727–735. doi: 10.1016/j.jad.2013.05.083CrossRefGoogle ScholarPubMed
Wang, X., Luo, Q., Tian, F., Cheng, B., Qiu, L., Wang, S., … Jia, Z. (2019). Brain grey-matter volume alteration in adult patients with bipolar disorder under different conditions: A voxel-based meta-analysis. Journal of Psychiatry & Neuroscience, 44, 89–101. doi: 10.1503/jpn.180002CrossRefGoogle ScholarPubMed
Wang, X., Tian, F., Wang, S., Cheng, B., Qiu, L., He, M., … Jia, Z. (2018a). Gray matter bases of psychotic features in adult bipolar disorder: A systematic review and voxel-based meta-analysis of neuroimaging studies. Human Brain Mapping, 39, 4707–4723. doi: 10.1002/hbm.24316CrossRefGoogle ScholarPubMed
Wang, Y., Gao, Y., Tang, S., Lu, L., Zhang, L., Bu, X., … Huang, X. (2020). Large-scale network dysfunction in the acute state compared to the remitted state of bipolar disorder: A meta-analysis of resting-state functional connectivity. Ebiomedicine, 54, 102742. doi: 10.1016/j.ebiom.2020.102742CrossRefGoogle Scholar
Wang, Y., Zhong, S., Chen, G., Liu, T., Zhao, L., Sun, Y., … Huang, L. (2018b). Altered cerebellar functional connectivity in remitted bipolar disorder: A resting-state functional magnetic resonance imaging study. Australian and New Zealand Journal of Psychiatry, 52, 962–971. doi: 10.1177/0004867417745996CrossRefGoogle ScholarPubMed
Wang, Y., Zhong, S., Jia, Y., Sun, Y., Wang, B., Liu, T., … Huang, L. (2016). Disrupted resting-state functional connectivity in nonmedicated bipolar disorder. Radiology, 280, 529–536. doi: 10.1148/radiol.2016151641CrossRefGoogle ScholarPubMed
Wise, T., Radua, J., Via, E., Cardoner, N., Abe, O., Adams, T. M., … Arnone, D. (2017). Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: Evidence from voxel-based meta-analysis. Molecular Psychiatry, 22, 1455–1463. doi: 10.1038/mp.2016.72CrossRefGoogle ScholarPubMed
Xu, K., Liu, H., Li, H., Tang, Y., Womer, F., Jiang, X., … Wang, F. (2014a). Amplitude of low-frequency fluctuations in bipolar disorder: A resting-state fMRI study. Journal of Affective Disorders, 152–154, 237–242. doi: 10.1016/j.jad.2013.09.017…CrossRefGoogle ScholarPubMed
Yu, H., Meng, Y.-J., Li, X.-J., Zhang, C., Liang, S., Li, M.-L., … Li, T. (2019). Common and distinct patterns of grey matter alterations in borderline personality disorder and bipolar disorder: Voxel-based meta-analysis. British Journal of Psychiatry, 215, 395–403. doi: 10.1192/bjp.2019.44CrossRefGoogle ScholarPubMed
Zaremba, D., Dohm, K., Redlich, R., Grotegerd, D., Strojny, R., Meinert, S., … Dannlowski, U. (2018). Association of brain cortical changes with relapse in patients with major depressive disorder. Jama Psychiatry, 75, 484–492. doi: 10.1001/jamapsychiatry.2018.0123CrossRefGoogle ScholarPubMed
Zhang, K., Liu, Z., Cao, X., Yang, C., Xu, Y., Xu, T., … Yang, Z. (2017). Amplitude of low-frequency fluctuations in first-episode, drug-naïve depressive patients: A 5-year retrospective study. Plos One, 12, e0174564. doi: 10.1371/journal.pone.0174564CrossRefGoogle ScholarPubMed
Zhang, W., Sweeney, J. A., Yao, L., Li, S., Zeng, J., Xu, M., & Tallman, M. J. (2020a). Brain structural correlates of familial risk for mental illness: A meta-analysis of voxel-based morphometry studies in relatives of patients with psychotic or mood disorders. 45, 1369–1379. doi: 10.1038/s41386-020-0687-yCrossRefGoogle Scholar
Zhang, Z., Bo, Q., Li, F., Zhao, L., Wang, Y., Liu, R., … Zhou, Y. (2020b). Increased ALFF and functional connectivity of the right striatum in bipolar disorder patients. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 111, 110140. doi: 10.1016/j.pnpbp.2020.110140Google ScholarPubMed
Zhao, L., Wang, Y., Jia, Y., Zhong, S., Sun, Y., Zhou, Z., … Huang, L. (2016). Cerebellar microstructural abnormalities in bipolar depression and unipolar depression: A diffusion kurtosis and perfusion imaging study. Journal of Affective Disorders, 195, 21–31. doi: 10.1016/j.jad.2016.01.042CrossRefGoogle ScholarPubMed
Zhuo, C., Ji, F., Tian, H., Wang, L., Jia, F., Jiang, D., … Zhu, J. (2020). Transient effects of multi-infusion ketamine augmentation on treatment-resistant depressive symptoms in patients with treatment-resistant bipolar depression - An open-label three-week pilot study. Brain and Behavior, 10, e01674. doi: 10.1002/brb3.1674CrossRefGoogle ScholarPubMed
Zovetti, N., Rossetti, M. G., Perlini, C., Maggioni, E., Bontempi, P., Bellani, M., … Brambilla, P. (2020). Default mode network activity in bipolar disorder. Epidemiology and Psychiatric Sciences, 29, e166. doi: 10.1017/s2045796020000803CrossRefGoogle ScholarPubMed
Supplementary material: File

Chen et al. supplementary material

Chen et al. supplementary material

Download Chen et al. supplementary material(File)
File 5.8 MB