Literature DB >> 26609422

Isolating the Norepinephrine Pathway Comparing Lithium in Bipolar Patients to SSRIs in Depressive Patients.

Andy R Eugene1, Jolanta Masiak2, Marek Masiak2, Jacek Kapica3.   

Abstract

INTRODUCTION: The purpose of this investigatory neuroimaging analysis was done to better understand the pharmacodynamics of Lithium by isolating the norepinephrine pathway in the brain. To accomplish this, we compared patients with Bipolar Disorder treated with Lithium to patients diagnosed with Major Depression or Depressive Disorder who are treated with Selective Serotonin Reuptake Inhibitors (SSRIs).
METHODOLOGY: We used Standardized Low Resolution Brain Electrotomography to calculate the whole brain, voxel-by-voxel, unpaired t-tests Statistical non-Parametric Maps. For our first electrophysiological neuroimaging investigation, we compared 46 patients (average age = 34 ± 16.5) diagnosed with Bipolar Affective Disorder to three patient groups all diagnosed with Major Depression or Depressive Episode. The first is with 48 patients diagnosed with Major Depression or Depressive Episode (average age = 49 ± 12.9), the second to 16 male depressive patients (average age = 45 ± 15.1), and the final comparison to 32 depressive females (average age = 50 ± 11.7).
RESULTS: The results of sLORETA three-dimensional statistical non-parametric maps illustrated that Lithium influenced an increase in neurotransmission in the right Superior Temporal Gyrus (t=1.403, p=0.00780), Fusiform Gyrus (t=1.26), and Parahippocampal Gyrus (t=1.29). Moreover, an increased in neuronal function was found was also identified at the Cingulate Gyrus (t=1.06, p=0.01200).
CONCLUSION: We are proposing a translational clinical biological marker for patients diagnosed with Bipolar Disorder to guide physicians during the course of Lithium therapy and have identified neuroanatomical structures influenced by norepinephrine.

Entities:  

Keywords:  Lithium pharmacodynamics; SSRI; biomarker; bipolar disorder; lithium; neuroimaging

Year:  2014        PMID: 26609422      PMCID: PMC4655881     

Source DB:  PubMed          Journal:  Brain (Bacau)        ISSN: 2068-0473


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