American Psychiatric Association (ed) Diagnostic and statistical manual of mental disorders: DSM-IV ; includes ICD-9-CM codes effective 1. Oct. 96. 4. ed., 7. print. Washington, DC, 1994.

Ammons, R. B., & Ammons, C. H. (1962). The quick test (QT): Provisional manual. Psychological Reports, 11, 111–161.

Article  Google Scholar 

Annett, M. (1970). A classification of hand preference by association analysis. British Journal of Psychology, 61, 303–321.

CAS  Article  Google Scholar 

Ashburner, J. (2007). A fast diffeomorphic image registration algorithm. NeuroImage, 38, 95–113.

Article  Google Scholar 

Behzadi, Y., Restom, K., Liau, J., & Liu, T. T. (2007). A Component based noise correction method (CompCor) for BOLD and perfusion based fMRI. NeuroImage, 37, 90–101.

Article  Google Scholar 

Birn, R. M., Molloy, E. K., Patriat, R., Parker, T., Meier, T. B., Kirk, G. R., et al. (2013). The effect of scan length on the reliability of resting-state fMRI connectivity estimates. NeuroImage, 83, 550–558.

Article  Google Scholar 

Bluhm, R. L., Miller, J., Lanius, R. A., Osuch, E. A., Boksman, K., Neufeld, R., et al. (2007). Spontaneous Low-Frequency Fluctuations in the BOLD Signal in Schizophrenic Patients: Anomalies in the Default Network. Schizophrenia Bulletin, 33, 1004–1012.

Article  Google Scholar 

Chen, Y., Bidwell, L. C., & Norton, D. (2006). Trait vs. State markers for schizophrenia: Identification and characterization through visual processes. Current Psychiatry Reviews, 2, 431–438.

Article  Google Scholar 

Dichter, G. S., Gibbs, D., & Smoski, M. J. (2015). A systematic review of relations between resting-state functional-MRI and treatment response in major depressive disorder. Journal of Affective Disorders, 172, 8–17.

Article  Google Scholar 

Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S., & Turner, R. (1996). Movement-related effects in fMRI time-series. Magnetic Resonance in Medicine, 35, 346–355.

CAS  Article  Google Scholar 

Friston, K., Brown, H. R., Siemerkus, J., & Stephan, K. E. (2016). The dysconnection hypothesis (2016). Schizophrenia Research, 176, 83–94.

Article  Google Scholar 

Giraldo-Chica, M., & Woodward, N. D. (2016). Review of thalamocortical resting-state fMRI studies in schizophrenia. Schizophrenia Research. https://doi.org/10.1016/j.schres.2016.08.005

Article  PubMed  Google Scholar 

Kandilarova, S., Stoyanov, D. S., Paunova, R., Todeva-Radneva, A., Aryutova, K., & Maes, M. (2021). Effective connectivity between major nodes of the limbic system, salience and frontoparietal networks differentiates schizophrenia and mood disorders from healthy controls. Journal of Personalized Medicine, 11, 1110.

Article  Google Scholar 

Karbasforoushan, H., & Woodward, N. D. (2013). Resting-state networks in schizophrenia. Current Topics in Medicinal Chemistry, 12, 2404–2414.

Article  Google Scholar 

Kasparek, T., Prikryl, R., Rehulova, J., Marecek, R., Mikl, M., Prikrylova, H., et al. (2013). Brain functional connectivity of male patients in remission after the first episode of schizophrenia. Human Brain Mapping, 34, 726–737.

PubMed  Google Scholar 

Kuhn, S., & Gallinat, J. (2013). Resting-state brain activity in schizophrenia and major depression: A quantitative meta-analysis. Schizophrenia Bulletin, 39, 358–365.

Article  Google Scholar 

Lee, C. U., Shenton, M. E., Salisbury, D. F., Kasai, K., Onitsuka, T., Dickey, C. C., et al. (2002). Fusiform gyrus volume reduction in first-episode schizophrenia: A magnetic resonance imaging study. JAMA Psychiatry, 59, 775–781.

Google Scholar 

Li, B., Liu, L., Friston, K. J., Shen, H., Wang, L., Zeng, L.-L., et al. (2013). A treatment-resistant default mode subnetwork in major depression. Biological Psychiatry, 74, 48–54.

Article  Google Scholar 

Liao, X.-H., Xia, M.-R., Xu, T., Dai, Z.-J., Cao, X.-Y., Niu, H.-J., et al. (2013). Functional brain hubs and their test-retest reliability: A multiband resting-state functional MRI study. NeuroImage, 83, 969–982.

Article  Google Scholar 

Liddle, P. F., Ngan, E. T. C., Duffield, G., Kho, K., & Warren, A. J. (2002). Signs and symptoms of psychotic illness (SSPI): A rating scale. British Journal of Psychiatry, 180, 45–50.

Article  Google Scholar 

Liston, C., Chen, A. C., Zebley, B. D., Drysdale, A. T., Gordon, R., Leuchter, B., et al. (2014). Default mode network mechanisms of transcranial magnetic stimulation in depression. Biological Psychiatry, 76, 517–526.

Article  Google Scholar 

Mallikarjun, P. K., Lalousis, P. A., Dunne, T. F., Heinze, K., Reniers, R. L., Broome, M. R., et al. (2018). Aberrant salience network functional connectivity in auditory verbal hallucinations: A first episode psychosis sample. Translational Psychiatry, 8, 1–9.

Article  Google Scholar 

Manoliu, A., Riedl, V., Doll, A., Bäuml, J. G., Mühlau, M., Schwerthöffer, D., et al. (2013). Insular dysfunction reflects altered between-network connectivity and severity of negative symptoms in schizophrenia during psychotic remission. Frontiers in Human Neuroscience, 7, 216.

Article  Google Scholar 

Mikolas, P., Melicher, T., Skoch, A., Matejka, M., Slovakova, A., Bakstein, E., et al. (2016). Connectivity of the anterior insula differentiates participants with first-episode schizophrenia spectrum disorders from controls: A machine-learning study. Psychological Medicine, 46, 2695–2704.

CAS  Article  Google Scholar 

Murray, R. M., & Lewis, S. W. (1987). Is schizophrenia a neurodevelopmental disorder? British Medical Journal (Clinical Research Ed), 295, 681–682.

CAS  Article  Google Scholar 

Oertel, V., Rotarska-Jagiela, A., van de Ven, V. G., Haenschel, C., Maurer, K., & Linden, D. E. J. (2007). Visual hallucinations in schizophrenia investigated with functional magnetic resonance imaging. Psychiatry Research, 156, 269–273.

Article  Google Scholar 

Palaniyappan, L., & Liddle, P. F. (2014). Diagnostic discontinuity in psychosis: A combined study of cortical gyrification and functional connectivity. Schizophrenia Bulletin, 40, 675–684.

Article  Google Scholar 

Peeters, S. C. T., van de Ven, V., Gronenschild, E. H. B. M., Patel, A. X., Habets, P., Goebel, R., et al. (2015). Default mode network connectivity as a function of familial and environmental risk for psychotic disorder. PLoS ONE, 10, e0120030. https://doi.org/10.1371/journal.pone.0120030

CAS  Article  PubMed  PubMed Central  Google Scholar 

Pettersson-Yeo, W., Allen, P., Benetti, S., McGuire, P., & Mechelli, A. (2011). Dysconnectivity in schizophrenia: Where are we now? Neuroscience and Biobehavioral Reviews, 35, 1110–1124.

Article  Google Scholar 

Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012). Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage, 59, 2142–2154.

Article  Google Scholar 

Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001). A default mode of brain function. Proceedings of the National Academy of Sciences of the United States of America, 98, 676–682.

CAS  Article  Google Scholar 

Rotarska-Jagiela, A., van de Ven, V., Oertel-Knöchel, V., Uhlhaas, P. J., Vogeley, K., & Linden, D. E. J. (2010). Resting-state functional network correlates of psychotic symptoms in schizophrenia. Schizophrenia Research, 117, 21–30.

Article  Google Scholar 

Satterthwaite, T. D., Elliott, M. A., Gerraty, R. T., Ruparel, K., Loughead, J., Calkins, M. E., et al. (2013). An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data. NeuroImage, 64, 240–256. https://doi.org/10.1016/j.neuroimage.2012.08.052

Article  PubMed  Google Scholar 

Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., et al. (2007). Dissociable intrinsic connectivity networks for salience processing and executive control. Journal of Neuroscience, 27(9), 2349–2356. https://doi.org/10.1523/JNEUROSCI.5587-06.2007

Skåtun, K. C., Kaufmann, T., Brandt, C. L., Doan, N. T., Alnæs, D., Tønnesen, S., et al. (2018). Thalamo-cortical functional connectivity in schizophrenia and bipolar disorder. Brain Imaging and Behavior, 12, 640–652.

Article  Google Scholar 

Su, Z., Fishel, J., Yamamoto, T., & Loeb, G. (2012). Use of tactile feedback to control exploratory movements to characterize object compliance. Front Neurorobotics, 6, 7. https://www.frontiersin.org/article/10.3389/fnbot.2012.00007. Accessed 24 Feb 2022.

Sui, J., Adali, T., Pearlson, G. D., Clark, V. P., & Calhoun, V. D. (2009). A method for accurate group difference detection by constraining the mixing coefficients in an ICA framework. Human Brain Mapping, 30, 2953–2970.

Article  Google Scholar 

Van Dijk, K. R. A., Hedden, T., Venkataraman, A., Evans, K. C., Lazar, S. W., & Buckner, R. L. (2010). Intrinsic functional connectivity as a tool for human connectomics: Theory, properties, and optimization. Journal of Neurophysiology, 103, 297–321.

Article  Google Scholar 

Wang, H.-L. S., Rau, C.-L., Li, Y.-M., Chen, Y.-P., & Yu, R. (2015). Disrupted thalamic resting-state functional networks in schizophrenia. Frontiers in Behavioral Neuroscience, 9, 45. https://doi.org/10.3389/fnbeh.2015.00045

Whitfield-Gabrieli, S., Thermenos, H. W., Milanovic, S., Tsuang, M. T., Faraone, S. V., McCarley, R. W., et al. (2009). Hyperactivity and hyperconnectivity of the default network in schizophrenia and in first-degree relatives of persons with schizophrenia. Proc Natl Acad Sci U S A, 106, 1279–1284.

CAS  Article  Google Scholar 

Woodward, N. D., Rogers, B., & Heckers, S. (2011). Functional resting-state networks are differentially affected in schizophrenia. Schizophrenia Research, 130, 86–93.

Article  Google Scholar 

Xue, S.-W., Yu, Q., Guo, Y., Song, D., & Wang, Z. (2019). Resting-state brain entropy in schizophrenia. Comprehensive Psychiatry, 89, 16–21.

Article  Google Scholar 

Yan, C., Zang, Y. (2010). DPARSF: a MATLAB toolbox for ‘pipeline’ data analysis of resting-state fMRI. Frontiers in System Neuroscience, 4. https://doi.org/10.3389/fnsys.2010.00013.

Yang, H., He, H., & Zhong, J. (2016). Multimodal MRI characterisation of schizophrenia: A discriminative analysis. The Lancet, 388, S36.

Article  Google Scholar 

Yasuda, Y., Okada, N., Nemoto, K., Fukunaga, M., Yamamori, H., Ohi, K., et al. (2020). Brain morphological and functional features in cognitive subgroups of schizophrenia. Psychiatry and Clinical Neurosciences, 74, 191–203.

Article  Google Scholar 

Yu, Y., Shen, H., Zhang, H., Zeng, L.-L., Xue, Z., & Hu, D. (2013). Functional connectivity-based signatures of schizophrenia revealed by multiclass pattern analysis of resting-state fMRI from schizophrenic patients and their healthy siblings. Biomedical Engineering Online, 12, 10.

Article  Google Scholar 

Zhou, Y., Liang, M., Jiang, T., Tian, L., Liu, Y., Liu, Z., et al. (2007). Functional dysconnectivity of the dorsolateral prefrontal cortex in first-episode schizophrenia using resting-state fMRI. Neuroscience Letters, 417, 297–302.

CAS  Article  Google Scholar