The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Altered Functional and Anatomical Connectivity in Schizophrenia
Open accessAbstract
BACKGROUND: Schizophrenia is characterized by a lack of integration between thought, emotion, and behavior. A disruption in the connectivity between brain processes may underlie this schism. Functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) were used to evaluate functional and anatomical brain connectivity in schizophrenia. METHODS: In all, 29 chronic schizophrenia patients (11 females, age: mean=41.3, SD=9.28) and 29 controls (11 females, age: mean=41.1, SD=10.6) were recruited. Schizophrenia patients were assessed for severity of negative and positive symptoms and general cognitive abilities of attention/concentration and memory. Participants underwent a resting-fMRI scan and a DTI scan. For fMRI data, a hybrid independent components analysis was used to extract the group default mode network (DMN) and accompanying time-courses. Voxel-wise whole-brain multiple regressions with corresponding DMN time-courses was conducted for each subject. A t-test was conducted on resulting DMN correlation maps to look between-group differences. For DTI data, voxel-wise statistical analysis of the fractional anisotropy data was carried out to look for between-group differences. Voxel-wise correlations were conducted to investigate the relationship between brain connectivity and behavioral measures. RESULTS: Results revealed altered functional and anatomical connectivity in medial frontal and anterior cingulate gyri of schizophrenia patients. In addition, frontal connectivity in schizophrenia patients was positively associated with symptoms as well as with general cognitive ability measures. DISCUSSION: The present study shows convergent fMRI and DTI findings that are consistent with the disconnection hypothesis in schizophrenia, particularly in medial frontal regions, while adding some insight of the relationship between brain disconnectivity and behavior.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Cognitive and emotional influences in anterior cingulate cortex
Bush, G., Luu, P., & Posner, M. I. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01483-2 · Cited by 6,259
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256
Nonrigid registration using free-form deformations: application to breast mr images
Rueckert, D., Sonoda, L. I., Hayes, C., Hill, D. L. G., Leach, M. O., & Hawkes, D. J. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.796284 · Cited by 5,265
MacDonald, A. W., Cohen, J. D., Stenger, V. A., & Carter, C. S. (2000) · Science · doi:10.1126/science.288.5472.1835 · Cited by 3,666
Self-citationWandering minds: the default network and stimulus-independent thought
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007) · Science · doi:10.1126/science.1131295 · Cited by 2,792
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175
Common blood flow changes across visual tasks: II. Decreases in cerebral cortex
Shulman, G. L., Fiez, J. A., Corbetta, M., Buckner, R. L., Miezin, F. M., Raichle, M. E., & Petersen, S. E. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.5.648 · Cited by 1,890
Primate anterior cingulate cortex: Where motor control, drive and cognition interface
Paus, T. (2001) · Nature Reviews Neuroscience · doi:10.1038/35077500 · Cited by 1,722 · cited 1×
“Dorsal ACG has been previously implicated in cognitive abilities that require attention and concentration such as conflict monitoring, error detection,(64) and response selection.(65,66)”
Background
Cited by
Large-scale brain networks and psychopathology: a unifying triple network model
Menon, V. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.08.003 · Cited by 4,168
Default Mode Network Activity and Connectivity in Psychopathology
Whitfield-Gabrieli, S., & Ford, J. M. (2012) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032511-143049 · Cited by 1,465
Dysconnectivity in schizophrenia: where are we now?
Pettersson-Yeo, W., Allen, P., Benetti, S., McGuire, P., & Mechelli, A. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.11.004 · Cited by 712
Disrupted axonal fiber connectivity in schizophrenia
Zalesky, A., Fornito, A., Seal, M. L., Cocchi, L., Westin, C.-F., Bullmore, E. T., Egan, G. F., & Pantelis, C. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.08.022 · Cited by 439
Cognitive Network Neuroscience
Medaglia, J. D., Lynall, M.-E., & Bassett, D. S. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00810 · Cited by 419
A Review of the Functional and Anatomical Default Mode Network in Schizophrenia
Hu, M.-L., Zong, X.-F., Mann, J. J., Zheng, J.-J., Liao, Y.-H., Li, Z.-C., He, Y., Chen, X.-G., & Tang, J.-S. (2017) · Neuroscience Bulletin · doi:10.1007/s12264-016-0090-1 · Cited by 331
Review of functional and anatomical brain connectivity findings in schizophrenia
Fitzsimmons, J., Kubicki, M., & Shenton, M. E. (2013) · Current Opinion in Psychiatry · doi:10.1097/yco.0b013e32835d9e6a · Cited by 277
Samartzis, L., Dima, D., Fusar‐Poli, P., & Kyriakopoulos, M. (2014) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2012.00779.x · Cited by 236
Sui, J., Huster, R., Yu, Q., Segall, J. M., & Calhoun, V. D. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.044 · Cited by 162
Clark, K. A., Nuechterlein, K. H., Asarnow, R. F., Hamilton, L. S., Phillips, O. R., Hageman, N. S., Woods, R. P., Alger, J. R., Toga, A. W., & Narr, K. L. (2011) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2011.01.006 · Cited by 149
Manoliu, A., Riedl, V., Doll, A., Bäuml, J. G., Mühlau, M., Schwerthöffer, D., Scherr, M., Zimmer, C., Förstl, H., Bäuml, J., et al. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00216 · Cited by 128
Domínguez-Iturza, N., Lo, A. C., Shah, D., Armendáriz, M., Vannelli, A., Mercaldo, V., Trusel, M., Li, K. W., Gastaldo, D., Santos, A. R., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11203-y · Cited by 96
The default mode network as a biomarker for monitoring the therapeutic effects of meditation
Simon, R., & Engström, M. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00776 · Cited by 95
From State-to-Trait Meditation: Reconfiguration of Central Executive and Default Mode Networks
Bauer, C. C. C., Whitfield-Gabrieli, S., Díaz, J. L., Pasaye, E. H., & Barrios, F. A. (2019) · eneuro · doi:10.1523/eneuro.0335-18.2019 · Cited by 81
Kikuchi, M., Hashimoto, T., Nagasawa, T., Hirosawa, T., Minabe, Y., Yoshimura, M., Strik, W., Dierks, T., & Koenig, T. (2011) · Schizophrenia Research · doi:10.1016/j.schres.2011.06.003 · Cited by 74
Gerretsen, P., Menon, M., Mamo, D. C., Fervaha, G., Remington, G., Pollock, B. G., & Graff-Guerrero, A. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.10.015 · Cited by 73
Wang, Y., Tang, W., Fan, X., Zhang, J., Geng, D., Jiang, K., Zhu, D., Song, Z., Xiao, Z., & Liu, D. (2017) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s123598 · Cited by 68
Functional connectivity and the sleep-deprived brain
Chee, M. W. L., & Zhou, J. (2019) · Progress in brain research · doi:10.1016/bs.pbr.2019.02.009 · Cited by 68
Wisner, K. M., Atluri, G., Lim, K. O., & MacDonald, A. W. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.066 · Cited by 66
Self-citationLohse, C., Bassett, D. S., Lim, K. O., & Carlson, J. M. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003712 · Cited by 62
Self-citationZick, J. L., Blackman, R. K., Crowe, D. A., Amirikian, B., DeNicola, A. L., Netoff, T. I., & Chafee, M. V. (2018) · Neuron · doi:10.1016/j.neuron.2018.05.010 · Cited by 50
Pujol, N., Penadés, R., Rametti, G., Catalán, R., Vidal-Piñeiro, D., Palacios, E., Bargallo, N., Bernardo, M., & Junqué, C. (2013) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2013.06.008 · Cited by 21
Cha, D., Michele, F., Soczynska, J., Woldeyohannes, H., Kaidanovich-Beilin, O., Carvalho, A., Malhi, G., Patel, H., Sim, K., Brietzke, E., et al. (2015) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527313666141130205024 · Cited by 18
Metadata
- Authors
- Camchong, J., MacDonald, A. W., Bell, C., Mueller, B. A., & Lim, K. O.
- Venue
- Schizophrenia Bulletin
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-11-17
- Volume
- 37
- Issue
- 3
- Pages
- 640-650
- ISSN
- 0586-7614 (ISSN-L)
- 1745-1701
- OpenAlex
- W2128588517
- Cited by
- 365
- References
- 17
- FWCI
- 11.26
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
