BACKGROUND: Depression has a lifetime prevalence of up to 20%. Neuroimaging methods have revealed various structural and functional changes that occur in a human brain during a depressive episode. However, we still lack information concerning the extent to which structural and functional changes co-occur in a depressed brain. Furthermore, it is difficult to evaluate from a merely qualitative literature review what regional brain changes in volume and activation are robust across depressed patient samples and consistent across imaging centers. METHODOLOGY AND PRINCIPLE FINDINGS: This study is a meta-analysis from 10 selected studies published previously. We applied the statistical anatomical/activation likelihood estimate method (ALE) in a total of 176 depressed patients and 175 controls for the MRI modality and in a total of 102 depressed patients and 94 controls for the PET modality to quantitatively identify those brain regions that show concordant alteration in the midst of a depressive episode across imaging modalities and study sites. We find a convergent change in the limbic-cortical brain circuit in depression compared to controls of both Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) data. The specific changes include lower gray matter volumes in the amygdala, the dorsal frontomedian cortex, and the right paracingulate cortex, as well as increases in glucose metabolism in the right subgenual and pregenual anterior cingulate cortices. CONCLUSIONS/SIGNIFICANCE: Our current findings represent an important first step towards a more focused approach to neuroimaging unipolar depression. The regions identified could serve as a specific region-of-interest-for-disease template for both individual in vivo imaging studies and postmortem histopathologic exploration.
BACKGROUND:Depression has a lifetime prevalence of up to 20%. Neuroimaging methods have revealed various structural and functional changes that occur in a human brain during a depressive episode. However, we still lack information concerning the extent to which structural and functional changes co-occur in a depressed brain. Furthermore, it is difficult to evaluate from a merely qualitative literature review what regional brain changes in volume and activation are robust across depressedpatient samples and consistent across imaging centers. METHODOLOGY AND PRINCIPLE FINDINGS: This study is a meta-analysis from 10 selected studies published previously. We applied the statistical anatomical/activation likelihood estimate method (ALE) in a total of 176 depressedpatients and 175 controls for the MRI modality and in a total of 102 depressedpatients and 94 controls for the PET modality to quantitatively identify those brain regions that show concordant alteration in the midst of a depressive episode across imaging modalities and study sites. We find a convergent change in the limbic-cortical brain circuit in depression compared to controls of both Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) data. The specific changes include lower gray matter volumes in the amygdala, the dorsal frontomedian cortex, and the right paracingulate cortex, as well as increases in glucose metabolism in the right subgenual and pregenual anterior cingulate cortices. CONCLUSIONS/SIGNIFICANCE: Our current findings represent an important first step towards a more focused approach to neuroimaging unipolar depression. The regions identified could serve as a specific region-of-interest-for-disease template for both individual in vivo imaging studies and postmortem histopathologic exploration.
Authors: Hans Jörgen Grabe; Katharina Wittfeld; Sandra Van der Auwera; Deborah Janowitz; Katrin Hegenscheid; Mohamad Habes; Georg Homuth; Sven Barnow; Ulrich John; Matthias Nauck; Henry Völzke; Henriette Meyer zu Schwabedissen; Harald Jürgen Freyberger; Norbert Hosten Journal: Hum Brain Mapp Date: 2016-01-27 Impact factor: 5.038
Authors: Laura E Simons; Eric A Moulton; Clas Linnman; Elizabeth Carpino; Lino Becerra; David Borsook Journal: Hum Brain Mapp Date: 2012-10-25 Impact factor: 5.038
Authors: Joan L Luby; Arpana Agrawal; Andy Belden; Diana Whalen; Rebecca Tillman; Deanna M Barch Journal: Am J Psychiatry Date: 2018-03-21 Impact factor: 18.112
Authors: Shehzad Basaria; Ravi Jasuja; Grace Huang; Whitney Wharton; Hong Pan; Karol Pencina; Zhuoying Li; Thomas G Travison; Jag Bhawan; Renaud Gonthier; Fernand Labrie; Alain Y Dury; Carlo Serra; Allen Papazian; Michael O'Leary; Sami Amr; Thomas W Storer; Emily Stern; Shalender Bhasin Journal: J Clin Endocrinol Metab Date: 2016-09-23 Impact factor: 5.958
Authors: Yuwen Hung; Zeynep M Saygin; Joseph Biederman; Dina Hirshfeld-Becker; Mai Uchida; Oliver Doehrmann; Michelle Han; Xiaoqian J Chai; Tara Kenworthy; Pavel Yarmak; Schuyler L Gaillard; Susan Whitfield-Gabrieli; John D E Gabrieli Journal: Cereb Cortex Date: 2017-09-01 Impact factor: 5.357