OBJECTIVE: The absence of neurobiological diagnostic markers of bipolar disorder (BD) leads to its frequent misdiagnosis as unipolar depression (UD). We investigated if changes in fractional anisotropy (FA) could help to differentiate BD from UD in the state of depression. METHODS: Using diffusion tensor imaging (DTI) we employed a voxel-based analysis approach to examine fractional anisotropy (FA) in 86 patients experiencing an acute major depressive episode according to DSM-IV (N=39 BD, mean age 39.2 years; N=43 UD, mean age 39.0 years), and 42 healthy controls (HC, mean age 36.1 years). The groups did not differ in sex, age or total education time. FA was investigated in white matter (FA >.2) and hypothesis-driven anatomically defined tracts (region-of-interest [ROI] analysis). Additionally, an exploratory gray matter FA analysis was performed. RESULTS: White matter analysis showed decreased FA in the right corticospinal tract in UD vs HC and in the right corticospinal tract/superior longitudinal fascicle in BD vs HC and also in BD vs UD. ROI analysis revealed decreased FA in BD vs UD in the corpus callosum and in the cingulum. Gray matter exploratory analysis revealed decreased FA in the left middle frontal gyrus and in the right inferior frontal gyrus in UD vs HC, and in the left superior medial gyrus in BD vs HC. CONCLUSION: This is one of very few studies directly showing differences in FA between BD and UD. Gray matter FA changes in prefrontal areas might be precursors for future prefrontal gray matter abnormalities in these disorders.
OBJECTIVE: The absence of neurobiological diagnostic markers of bipolar disorder (BD) leads to its frequent misdiagnosis as unipolar depression (UD). We investigated if changes in fractional anisotropy (FA) could help to differentiate BD from UD in the state of depression. METHODS: Using diffusion tensor imaging (DTI) we employed a voxel-based analysis approach to examine fractional anisotropy (FA) in 86 patients experiencing an acute major depressive episode according to DSM-IV (N=39 BD, mean age 39.2 years; N=43 UD, mean age 39.0 years), and 42 healthy controls (HC, mean age 36.1 years). The groups did not differ in sex, age or total education time. FA was investigated in white matter (FA >.2) and hypothesis-driven anatomically defined tracts (region-of-interest [ROI] analysis). Additionally, an exploratory gray matter FA analysis was performed. RESULTS: White matter analysis showed decreased FA in the right corticospinal tract in UD vs HC and in the right corticospinal tract/superior longitudinal fascicle in BD vs HC and also in BD vs UD. ROI analysis revealed decreased FA in BD vs UD in the corpus callosum and in the cingulum. Gray matter exploratory analysis revealed decreased FA in the left middle frontal gyrus and in the right inferior frontal gyrus in UD vs HC, and in the left superior medial gyrus in BD vs HC. CONCLUSION: This is one of very few studies directly showing differences in FA between BD and UD. Gray matter FA changes in prefrontal areas might be precursors for future prefrontal gray matter abnormalities in these disorders.
Authors: Carissa Tuozzo; Amanda E Lyall; Ofer Pasternak; Anthony C D James; Timothy J Crow; Marek Kubicki Journal: Bipolar Disord Date: 2017-12-11 Impact factor: 6.744
Authors: Susanne Meinert; Jonathan Repple; Igor Nenadic; Axel Krug; Andreas Jansen; Dominik Grotegerd; Katharina Förster; Verena Enneking; Katharina Dohm; Simon Schmitt; Frederike Stein; Katharina Brosch; Tina Meller; Ronny Redlich; Joscha Böhnlein; Lisa Sindermann; Janik Goltermann; Elisabeth J Leehr; Nils Opel; Leni Aldermann; Andreas Reuter; Ricarda I Schubotz; Tim Hahn; Tilo Kircher; Udo Dannlowski Journal: Neuropsychopharmacology Date: 2019-08-05 Impact factor: 7.853
Authors: Susanne Meinert; Nico Nowack; Dominik Grotegerd; Jonathan Repple; Nils R Winter; Isabel Abheiden; Verena Enneking; Hannah Lemke; Lena Waltemate; Frederike Stein; Katharina Brosch; Simon Schmitt; Tina Meller; Julia-Katharina Pfarr; Kai Ringwald; Olaf Steinsträter; Marius Gruber; Igor Nenadić; Axel Krug; Elisabeth J Leehr; Tim Hahn; Katharina Thiel; Katharina Dohm; Alexandra Winter; Nils Opel; Ricarda I Schubotz; Tilo Kircher; Udo Dannlowski Journal: Mol Psychiatry Date: 2021-10-25 Impact factor: 13.437
Authors: Mai Uchida; Yuwen Hung; Allison Green; Caroline Kelberman; James Capella; Schuylar L Gaillard; John D E Gabrieli; Joseph Biederman Journal: Psychiatry Res Neuroimaging Date: 2021-10-16 Impact factor: 2.493
Authors: Martijn P van den Heuvel; Lianne H Scholtens; Siemon C de Lange; Rory Pijnenburg; Wiepke Cahn; Neeltje E M van Haren; Iris E Sommer; Marco Bozzali; Kathrin Koch; Marco P Boks; Jonathan Repple; Michela Pievani; Longchuan Li; Todd M Preuss; James K Rilling Journal: Brain Date: 2019-12-01 Impact factor: 13.501
Authors: Pauline Favre; Melissa Pauling; Jacques Stout; Franz Hozer; Samuel Sarrazin; Christoph Abé; Martin Alda; Clara Alloza; Silvia Alonso-Lana; Ole A Andreassen; Bernhard T Baune; Francesco Benedetti; Geraldo F Busatto; Erick J Canales-Rodríguez; Xavier Caseras; Tiffany Moukbel Chaim-Avancini; Christopher R K Ching; Udo Dannlowski; Michael Deppe; Lisa T Eyler; Mar Fatjo-Vilas; Sonya F Foley; Dominik Grotegerd; Tomas Hajek; Unn K Haukvik; Fleur M Howells; Neda Jahanshad; Harald Kugel; Trine V Lagerberg; Stephen M Lawrie; Julia O Linke; Andrew McIntosh; Elisa M T Melloni; Philip B Mitchell; Mircea Polosan; Edith Pomarol-Clotet; Jonathan Repple; Gloria Roberts; Annerine Roos; Pedro G P Rosa; Raymond Salvador; Salvador Sarró; Peter R Schofield; Mauricio H Serpa; Kang Sim; Dan J Stein; Jess E Sussmann; Henk S Temmingh; Paul M Thompson; Norma Verdolini; Eduard Vieta; Michele Wessa; Heather C Whalley; Marcus V Zanetti; Marion Leboyer; Jean-François Mangin; Chantal Henry; Edouard Duchesnay; Josselin Houenou Journal: Neuropsychopharmacology Date: 2019-08-21 Impact factor: 7.853