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BMC Psychiatry. 2011; 11: 148.
Published online 2011 September 13. doi:  10.1186/1471-244X-11-148
PMCID: PMC3184264
A pattern of cerebral perfusion anomalies between Major Depressive Disorder and Hashimoto Thyroiditis
Maria Carolina Hardoy,corresponding author1 Mariangela Cadeddu,2 Alessandra Serra,3 Maria Francesca Moro,2 Gioia Mura,2 Gisa Mellino,2 Krishna M Bhat,4 Gianmarco Altoé,5 Paolo Usai,3 Mario Piga,3 and Mauro G Carta2
1Department of Psychiatry, Reald University, Vlore, Albania
2Department of Public Health, University of Cagliari, Cagliari, Italy
3Department of Internal Medicine, University of Cagliari, Cagliari, Italy
4Department of Neuroscience & Cell Biology, University of Texas Medical Branch, Galveston, Texas, USA
5Department of Psychology, University of Cagliari, Cagliari, Italy
corresponding authorCorresponding author.
Maria Carolina Hardoy: carolinahardoy/at/tiscali.it; Mariangela Cadeddu: mariangelacadeddu/at/aliceposta.it; Alessandra Serra: aserra/at/pacs.unica.it; Maria Francesca Moro: mfmoro/at/gmail.com; Gioia Mura: mura.gioia/at/virgilio.it; Gisa Mellino: gismel/at/tiscali.it; Krishna M Bhat: kmbhats/at/gmail.com; Gianmarco Altoé: giamma.alto/at/gmail.com; Paolo Usai: usaip/at/medicina.unica.it; Mario Piga: pigam/at/medicina.unica.it; Mauro G Carta: mgcarta/at/tiscali.it
Received May 18, 2011; Accepted September 13, 2011.
Abstract
Background
This study aims to evaluate relationship between three different clinical conditions: Major Depressive Disorders (MDD), Hashimoto Thyroiditis (HT) and reduction in regional Cerebral Blood Flow (rCBF) in order to explore the possibility that patients with HT and MDD have specific pattern(s) of cerebral perfusion.
Methods
Design: Analysis of data derived from two separate data banks.
Sample: 54 subjects, 32 with HT (29 women, mean age 38.8 ± 13.9); 22 without HT (19 women, mean age 36.5 ± 12.25).
Assessment: Psychiatric diagnosis was carried out by Simplified Composite International Diagnostic Interview (CIDIS) using DSM-IV categories; cerebral perfusion was measured by 99 mTc-ECD SPECT. Statistical analysis was done through logistic regression.
Results
MDD appears to be associated with left frontal hypoperfusion, left temporal hypoperfusion, diffuse hypoperfusion and parietal perfusion asymmetry. A statistically significant association between parietal perfusion asymmetry and MDD was found only in the HT group.
Conclusion
In HT, MDD is characterized by a parietal flow asymmetry. However, the specificity of rCBF in MDD with HT should be confirmed in a control sample with consideration for other health conditions. Moreover, this should be investigated with a longitudinally designed study in order to determine a possible pathogenic cause. Future studies with a much larger sample size should clarify whether a particular perfusion pattern is associated with a specific course or symptom cluster of MDD.
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