Literature DB >> 19218876

Decreased gyrification in major depressive disorder.

Yuanchao Zhang1, Chunshui Yu, Yuan Zhou, Kuncheng Li, Chong Li, Tianzi Jiang.   

Abstract

Structural and functional abnormalities have been extensively reported in major depressive disorder, but possible changes in cortical folding have not yet been explored in this disorder. This study investigated this issue in major depressive disorder using the local gyrification index. High-resolution magnetic resonance imaging was performed in 18 patients with first-episode major depressive disorder and 18 age-matched and sex-matched healthy individuals. The local gyrification index was applied to detect brain areas with abnormal cortical folding in major depressive disorder. Compared with healthy participants, patients with major depressive disorder showed significantly decreased local gyrification index in the bilateral mid-posterior cingulate, insula, and orbital frontal cortices, the left anterior cingulate cortex, and the right temporal operculum.

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Year:  2009        PMID: 19218876     DOI: 10.1097/WNR.0b013e3283249b34

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  17 in total

1.  How to measure cortical folding from MR images: a step-by-step tutorial to compute local gyrification index.

Authors:  Marie Schaer; Meritxell Bach Cuadra; Nick Schmansky; Bruce Fischl; Jean-Philippe Thiran; Stephan Eliez
Journal:  J Vis Exp       Date:  2012-01-02       Impact factor: 1.355

2.  Reduced cortical folding in mental retardation.

Authors:  Y Zhang; Y Zhou; C Yu; L Lin; C Li; T Jiang
Journal:  AJNR Am J Neuroradiol       Date:  2010-01-14       Impact factor: 3.825

3.  High levels of neuroticism are associated with decreased cortical folding of the dorsolateral prefrontal cortex.

Authors:  C Christoph Schultz; Heide Warziniak; Kathrin Koch; Claudia Schachtzabel; Daniel Güllmar; Jürgen R Reichenbach; Ralf G Schlösser; Heinrich Sauer; Gerd Wagner
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2017-04-06       Impact factor: 5.270

4.  Local gyrification index in patients with major depressive disorder and its association with tryptophan hydroxylase-2 (TPH2) polymorphism.

Authors:  Kyu-Man Han; Eunsoo Won; June Kang; Aram Kim; Ho-Kyoung Yoon; Hun Soo Chang; Kyu Ri Son; Min-Soo Lee; Woo-Suk Tae; Byung-Joo Ham
Journal:  Hum Brain Mapp       Date:  2016-11-03       Impact factor: 5.038

5.  Evidence for alterations of cortical folding in anorexia nervosa.

Authors:  C Christoph Schultz; Gerd Wagner; Feliberto de la Cruz; Sandy Berger; Jürgen R Reichenbach; Heinrich Sauer; Karl J Bär
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2015-12-17       Impact factor: 5.270

6.  Surface vulnerability of cerebral cortex to major depressive disorder.

Authors:  Daihui Peng; Feng Shi; Gang Li; Drew Fralick; Ting Shen; Meihui Qiu; Jun Liu; Kaida Jiang; Dinggang Shen; Yiru Fang
Journal:  PLoS One       Date:  2015-03-20       Impact factor: 3.240

7.  Cortical shape and curvedness analysis of structural deficits in remitting and non-remitting depression.

Authors:  Yuan-Lin Liao; Po-Shan Wang; Chia-Feng Lu; Chih-I Hung; Cheng-Ta Li; Ching-Po Lin; Jen-Chuen Hsieh; Tung-Ping Su; Yu-Te Wu
Journal:  PLoS One       Date:  2013-07-16       Impact factor: 3.240

8.  Decreased frontal gyrification correlates with altered connectivity in children with autism.

Authors:  Marie Schaer; Marie-Christine Ottet; Elisa Scariati; Daniel Dukes; Martina Franchini; Stephan Eliez; Bronwyn Glaser
Journal:  Front Hum Neurosci       Date:  2013-11-08       Impact factor: 3.169

Review 9.  Brain Structural Effects of Antidepressant Treatment in Major Depression.

Authors:  Nicola Dusi; Stefano Barlati; Antonio Vita; Paolo Brambilla
Journal:  Curr Neuropharmacol       Date:  2015       Impact factor: 7.363

10.  A geometric network model of intrinsic grey-matter connectivity of the human brain.

Authors:  Yi-Ping Lo; Reuben O'Dea; Jonathan J Crofts; Cheol E Han; Marcus Kaiser
Journal:  Sci Rep       Date:  2015-10-27       Impact factor: 4.379

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