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2177 – Neuroanatomical Changes Associated With Subthreshold Depression In Adolescents
- H. Vulser, M.-L. Paillere-Martinot, H. Lemaitre, R. Miranda, E. Artiges, R. Goodman, J. Penttilä, M. Struve, T. Fadai, V. Kappel, L. Poustka, P. Conrod, T. Banaschewski, A. Barbot, G.J. Barker, C. Büchel, H. Flor, J. Gallinat, H. Garavan, A. Heinz, B. Ittermann, C. Lawrence, E. Loth, K. Mann, T. Paus, Z. Pausova, M. Rietschel, T.W. Robbins, M. Smolka, G. Schumann, J.-L. Martinot, IMAGEN Consortium
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- Journal:
- European Psychiatry / Volume 28 / Issue S1 / 2013
- Published online by Cambridge University Press:
- 15 April 2020, 28-E1340
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Introduction
Although neuroimaging studies suggest brain regional abnormalities in depressive disorders, it remains unclear whether abnormalities are present at illness onset or reflect disease progression.
ObjectivesWe hypothesized that cerebral variations were present in adolescents with subthreshold depression known to be at high risk for later full-blown depression.
AimsWe examined brain structural and diffusion-weighted magnetic resonance images of adolescents with subthreshold depression.
MethodsThe participants were extracted from the European IMAGEN study cohort of healthy adolescents recruited at age 14. Subthreshold depression was defined as a distinct period of abnormally depressed or irritable mood, or loss of interest, plus two or more depressive symptoms but without diagnosis of Major Depressive Episode. Comparisons were performed between adolescents meeting these criteria and control adolescents within the T1-weighted imaging modality (118 and 475 adolescents respectively) using voxel-based morphometry and the diffusion tensor imaging modality (89 ad 422 adolescents respectively) using tract-based spatial statistics. Whole brain analyses were performed with a statistical threshold set to p< 0.05 corrected for multiple comparisons.
ResultsCompared with controls, adolescents with subthreshold depression had smaller gray matter volume in caudate nuclei, medial frontal and cingulate cortices; smaller white matter volume in anterior limb of internal capsules, left forceps minor and right cingulum; and lower fractional anisotropy and higher radial diffusivity in the genu of corpus callosum.
ConclusionsThe findings suggest that adolescents with subthreshold depression have volumetric and microstructural gray and white matter changes in the emotion regulation frontal-striatal-limbic network.
Personalized risk prediction of postoperative cognitive impairment – rationale for the EU-funded BioCog project
- G. Winterer, A. Fournier, O. Bender, D. Boraschi, F. Borchers, T.B. Dschietzig, I. Feinkohl, P. Fletcher, J. Gallinat, D. Hadzidiakos, J.D. Haynes, F. Heppner, S. Hetzer, J. Hendrikse, B. Ittermann, I.M.J. Kant, A. Kraft, A. Krannich, R. Krause, S. Kühn, G. Lachmann, S.J.T. van Montfort, A. Müller, P. Nürnberg, K. Ofosu, M. Pietsch, T. Pischon, J. Preller, E. Renzulli, K. Scheurer, R. Schneider, A.J.C. Slooter, C. Spies, E. Stamatakis, H.D. Volk, S. Weber, A. Wolf, F. Yürek, N. Zacharias, BioCog consortium
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- Journal:
- European Psychiatry / Volume 50 / April 2018
- Published online by Cambridge University Press:
- 01 January 2020, pp. 34-39
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Postoperative cognitive impairment is among the most common medical complications associated with surgical interventions – particularly in elderly patients. In our aging society, it is an urgent medical need to determine preoperative individual risk prediction to allow more accurate cost–benefit decisions prior to elective surgeries. So far, risk prediction is mainly based on clinical parameters. However, these parameters only give a rough estimate of the individual risk. At present, there are no molecular or neuroimaging biomarkers available to improve risk prediction and little is known about the etiology and pathophysiology of this clinical condition. In this short review, we summarize the current state of knowledge and briefly present the recently started BioCog project (Biomarker Development for Postoperative Cognitive Impairment in the Elderly), which is funded by the European Union. It is the goal of this research and development (R&D) project, which involves academic and industry partners throughout Europe, to deliver a multivariate algorithm based on clinical assessments as well as molecular and neuroimaging biomarkers to overcome the currently unsatisfying situation.
Resilience and corpus callosum microstructure in adolescence
- A. Galinowski, R. Miranda, H. Lemaitre, M.-L. Paillère Martinot, E. Artiges, H. Vulser, R. Goodman, J. Penttilä, M. Struve, A. Barbot, T. Fadai, L. Poustka, P. Conrod, T. Banaschewski, G. J. Barker, A. Bokde, U. Bromberg, C. Büchel, H. Flor, J. Gallinat, H. Garavan, A. Heinz, B. Ittermann, V. Kappel, C. Lawrence, E. Loth, K. Mann, F. Nees, T. Paus, Z. Pausova, J.-B. Poline, M. Rietschel, T. W. Robbins, M. Smolka, G. Schumann, J.-L. Martinot, the IMAGEN Consortium
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- Journal:
- Psychological Medicine / Volume 45 / Issue 11 / August 2015
- Published online by Cambridge University Press:
- 30 March 2015, pp. 2285-2294
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Background
Resilience is the capacity of individuals to resist mental disorders despite exposure to stress. Little is known about its neural underpinnings. The putative variation of white-matter microstructure with resilience in adolescence, a critical period for brain maturation and onset of high-prevalence mental disorders, has not been assessed by diffusion tensor imaging (DTI). Lower fractional anisotropy (FA) though, has been reported in the corpus callosum (CC), the brain's largest white-matter structure, in psychiatric and stress-related conditions. We hypothesized that higher FA in the CC would characterize stress-resilient adolescents.
MethodThree groups of adolescents recruited from the community were compared: resilient with low risk of mental disorder despite high exposure to lifetime stress (n = 55), at-risk of mental disorder exposed to the same level of stress (n = 68), and controls (n = 123). Personality was assessed by the NEO-Five Factor Inventory (NEO-FFI). Voxelwise statistics of DTI values in CC were obtained using tract-based spatial statistics. Regional projections were identified by probabilistic tractography.
ResultsHigher FA values were detected in the anterior CC of resilient compared to both non-resilient and control adolescents. FA values varied according to resilience capacity. Seed regional changes in anterior CC projected onto anterior cingulate and frontal cortex. Neuroticism and three other NEO-FFI factor scores differentiated non-resilient participants from the other two groups.
ConclusionHigh FA was detected in resilient adolescents in an anterior CC region projecting to frontal areas subserving cognitive resources. Psychiatric risk was associated with personality characteristics. Resilience in adolescence may be related to white-matter microstructure.