| Title |
Decreased hemispheric connectivity and decreased intra- and inter- hemisphere asymmetry of resting state functional network connectivity in schizophrenia
|
|---|---|
| Published in |
Brain Imaging and Behavior, April 2017
|
| DOI | 10.1007/s11682-017-9718-7 |
| Pubmed ID | |
| Authors |
O. Agcaoglu, R. Miller, E. Damaraju, B. Rashid, J. Bustillo, M. S. Cetin, T. G. M. Van Erp, S. McEwen, A. Preda, J. M. Ford, K. O. Lim, D. S. Manoach, D. H. Mathalon, S. G. Potkin, V. D. Calhoun |
| Abstract |
Many studies have shown that schizophrenia patients have aberrant functional network connectivity (FNC) among brain regions, suggesting schizophrenia manifests with significantly diminished (in majority of the cases) connectivity. Schizophrenia is also associated with a lack of hemispheric lateralization. Hoptman et al. (2012) reported lower inter-hemispheric connectivity in schizophrenia patients compared to controls using voxel-mirrored homotopic connectivity. In this study, we merge these two points of views together using a group independent component analysis (gICA)-based approach to generate hemisphere-specific timecourses and calculate intra-hemisphere and inter-hemisphere FNC on a resting state fMRI dataset consisting of age- and gender-balanced 151 schizophrenia patients and 163 healthy controls. We analyzed the group differences between patients and healthy controls in each type of FNC measures along with age and gender effects. The results reveal that FNC in schizophrenia patients shows less hemispheric asymmetry compared to that of the healthy controls. We also found a decrease in connectivity in all FNC types such as intra-left (L_FNC), intra-right (R_FNC) and inter-hemisphere (Inter_FNC) in the schizophrenia patients relative to healthy controls, but general patterns of connectivity were preserved in patients. Analyses of age and gender effects yielded results similar to those reported in whole brain FNC studies. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 20% |
| Researcher | 8 | 15% |
| Student > Master | 8 | 15% |
| Professor > Associate Professor | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 5 | 9% |
| Unknown | 16 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 12 | 22% |
| Psychology | 5 | 9% |
| Medicine and Dentistry | 4 | 7% |
| Engineering | 3 | 5% |
| Computer Science | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 23 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 April 2022.
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Outputs from Brain Imaging and Behavior
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Outputs of similar age from Brain Imaging and Behavior
#13
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