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Association between cingulum bundle structure and cognitive performance: An observational study in major depression

Published online by Cambridge University Press:  16 April 2020

I. Schermuly ,
A. Fellgiebel ,
S. Wagner ,
I. Yakushev ,
P. Stoeter ,
R. Schmitt ,
R.J. Knickenberg ,
F. Bleichner  and
M.E. Beutel
I. Schermuly*
Affiliation:
Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Germany
A. Fellgiebel
Affiliation:
Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Germany
S. Wagner
Affiliation:
Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Germany
I. Yakushev
Affiliation:
Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Germany
P. Stoeter
Affiliation:
Institute of Neuroradiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
R. Schmitt
Affiliation:
Clinic for Radiology, Rhoen Klinikum, Bad Neustadt an der Saale, Germany
R.J. Knickenberg
Affiliation:
Psychosomatic Clinic, Rhoen Klinikum, Bad Neustadt an der Saale, Germany
F. Bleichner
Affiliation:
Psychosomatic Clinic, Rhoen Klinikum, Bad Neustadt an der Saale, Germany
M.E. Beutel
Affiliation:
Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
*
*Corresponding author. Tel.: +49 0 6131 172488; fax: +49 0 6131 176690. E-mail address: [email protected] (I. Schermuly).
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Abstract

Background

Major depression can be regarded as a systemic neurobehavioral disorder resulting from dysfunction of the limbic-cortical networks. The cingulum bundle represents a major association fiber tract of those networks. The aim of our study was to determine the association of brain structural tissue markers of the cingulum bundle and cognitive function in patients with major depression.

Methods

Region-of-interest-based analyses of the middle-anterior and middle-posterior cingulum bundle fractional anisotropy (FA) and mean diffusivity (MD) using color-coded diffusion-tensor imaging and neuropsychological assessment in 14 patients with major depression.

Results

FA of the middle-anterior and middle-posterior cingulum bundle was significantly correlated to the performance in a planning and divided attention task. Furthermore, MD of the middle-posterior cingulum bundle was significantly correlated to a planning task. There was no significant correlation between FA and MD of the cingulum bundle and selective attention or memory.

Conclusions

Brain structural tissue markers of the middle-anterior and middle-posterior cingulum bundle were found to be associated with executive functioning and divided attention in patients with major depression. Disconnection within the limbic-cortical networks may underlay cognitive dysfunction in major depression.

Keywords

Diffusion-tensor imagingDTICingulum bundleDepressionExecutive function
Type
Brain Anatomy and Imaging
Information
European Psychiatry , Volume 25 , Issue 6 , October 2010 , pp. 355 - 360
Copyright
Copyright © Elsevier Masson SAS 2010

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References

Abe, O, Yamasue, H, Kasai, K, Yamada, H, Aoki, A, Inoue, Het al.Voxel-based analyses of gray/white matter volume and diffusion tensor data in major depression. Psychiatry Res 2010;181:64–70.CrossRefGoogle ScholarPubMed
American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 4th ed. Washington: American Psychiatric Association; 1994.Google Scholar
Austin, MP, Mitchell, P, Goodwin, GMCognitive deficits in depression: possible implications for functional neuropathology. Br J Psychiatry 2001;178:200–206.CrossRefGoogle ScholarPubMed
Bae, JN, MacFall, JR, Krishnan, KR, Payne, ME, Steffens, DC, Taylor, WDDorsolateral prefrontal cortex and anterior cingulate cortex white matter alterations in late-life depression. Biol Psychiatry 2006;60:1356–1363.CrossRefGoogle ScholarPubMed
Basser, PJ, Mattiello, J, LeBihan, DMR diffusion tensor spectroscopy and imaging. Biophys J 1994;66:259–267.CrossRefGoogle ScholarPubMed
Beck, ATThe Depression Inventory (BDI). Philadelphia: Center for Cognitive Therapy; 1978.Google Scholar
Croxson, PL, Johansen-Berg, H, Behrens, TEJ, Robson, MD, Pinsk, MA, Gross, CGet al.Quantitative investigation of connections of the prefrontal cortex in the human and macaque using probabilistic diffusion tractography. J Neurosci 2005;25:8854–8866.CrossRefGoogle ScholarPubMed
Davidson, RJ, Abercrombie, H, Nitschke, JB, Putnam, KRegional brain function, emotion and disorders of emotion. Curr Opin Neurobiol 1999;9:228–234.CrossRefGoogle ScholarPubMed
Davidson, RJ, Pizzagalli, D, Nitschke, JB, Putnam, KDepression: perspectives from affective neuroscience. Annu Rev Psychol 2002;53:545–574.CrossRefGoogle ScholarPubMed
Elliott, R, Baker, SC, Rogers, RD, O’Leary, DA, Paykel, ES, Frith, CDet al.Prefrontal dysfunction in depressed patients performing a complex planning task: a study using positron emission tomography. Psychol Med 1997;27:931–942.CrossRefGoogle ScholarPubMed
Fellgiebel, A, Müller, MJ, Wille, P, Dellani, PR, Scheurich, A, Schmidt, LGet al.Color-coded diffusion-tensor-imaging of posterior cingulate fiber tracts in mild cognitive impairment. Neurobiol Aging 2005;26:1193–1198.CrossRefGoogle ScholarPubMed
Fellgiebel, A, Schermuly, I, Gerhard, A, Keller, I, Albrecht, J, Weibrich, Cet al.Functional relevant loss of long association fibre tracts integrity in early Alzheimer's disease. Neuropsychologia 2008;46:1698–1706.CrossRefGoogle ScholarPubMed
Folstein, MF, Folstein, SE, McHugh, PR“Mini-Mental State”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975;12:189–198.CrossRefGoogle ScholarPubMed
Hunsche, S, Moseley, ME, Stoeter, P, Hedehus, MDiffusion-tensor MR imaging at 1.5 and 3.0T: initial observations. Radiology 2001;221:550–556.CrossRefGoogle Scholar
Jäger, RS, Petermann, FPsychologische Diagnostik: Ein Lehrbuch. 4th ed. München: Psychologie Verlags Union; 1999.Google Scholar
Kieseppä, T, Eerola, M, Mäntylä, R, Neuvonen, R, Poutanen, V, Luoma, Ket al.Major depressive disorder and white matter abnormalities: a diffusion tensor imaging study with tract-based spatial statistics. J Affect Disord 2010;120:240–244.CrossRefGoogle ScholarPubMed
Klix, F, Rautenstrauch-Goede, KStruktur- und kompetenzanalyse von problemlösungsprozessen. Z Psychol 1967;174:167–193.Google Scholar
Koolschijn, P.C.M.P., vanHaren, NEM, Lensvelt-Mulders, G.J.L.M., Hulshoff Pol, HE, Kahn, RSBrain volume abnormalities in major depressive disorder: a meta-analysis of magnetic resonance imaging studies. Hum Brain Mapp 2009;30:3719–3735.CrossRefGoogle ScholarPubMed
Le Bihan, D, Mangin, JF, Poupon, C, Clark, C, Pappata, S, Molko, Net al.Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging 2001;13:534–546.CrossRefGoogle ScholarPubMed
Li, L, Ma, N, Li, Z, Tan, L, Liu, J, Gong, Get al.Prefrontal white matter abnormalities in young adult with major depressive disorder: a diffusion tensor imaging study. Brain Res 2007;1168:124–128.CrossRefGoogle ScholarPubMed
Lozano, AM, Mayberg, HS, Giacobbe, P, Hamani, C, Craddock, CR, Kennedy, SHSubcallosal cingulate gyrus deep brain stimulation for treatment-resistant depression. Biol Psychiatry 2008;64:461–467.CrossRefGoogle ScholarPubMed
Majer, M, Ising, M, Künzel, H, Binder, EB, Holsboer, F, Modell, Set al.Impaired divided attention predicts delayed response and risk to relapse in subjects with depressive disorders. Psychol Med 2004;34:1453–1463.CrossRefGoogle ScholarPubMed
Mayberg, HSModulating dysfunctional limbic-cortical circuits in depression: towards development of brain-based algorithms for diagnosis and optimised treatment. Br Med Bull 2003;65:193–207.CrossRefGoogle ScholarPubMed
Mayberg, HS, Liotti, M, Brannan, SK, McGinnis, S, Mahurin, RK, Jerabek, PAet al.Reciprocal limbic-cortical function and negative mood: converging PET findings in depression and normal sadness. Am J Psychiatry 1999;156:675–682.Google ScholarPubMed
Morris, RThe association fiber system linking the mid-dorsolateral frontal cortex with the retrosplenial cortex and the posterior hippocampal region in the rhesus monkey. Montreal: McGill University; 1996.Google Scholar
Murphy, CF, Gunning-Dixon, FM, Hoptman, MJ, Lim, KO, Ardekani, B, Shields, JKet al.White-matter integrity predicts stroop performance in patients with geriatric depression. Biol Psychiatry 2007;61:1007–1010.CrossRefGoogle ScholarPubMed
Nobuhara, K, Okugawa, G, Sugimoto, T, Minami, T, Tamagaki, C, Takase, Ket al.Frontal white matter anisotropy and symptom severity of late-life depression: a magnetic resonance diffusion tensor imaging study. J Neurol Neurosurg Psychiatry 2006;77:120–122.CrossRefGoogle ScholarPubMed
Pajevic, S, Pierpaoli, CColor schemes to represent the orientation of anisotropic tissues from diffusion tensor data: application to white matter fiber tract mapping in the human brain. Magn Reson Med 1999;42:526–540.3.0.CO;2-J>CrossRefGoogle ScholarPubMed
Pierpaoli, C, Basser, PJToward a quantitative assessment of diffusion anisotropy. Magn Reson Med 1996;36:893–906.CrossRefGoogle Scholar
Reppermund, S, Ising, M, Lucae, S, Zihl, JCognitive impairment in unipolar depression is persistent and non-specific: further evidence for the final common pathway disorder hypothesis. Psychol Med 2009;39:603–614.CrossRefGoogle ScholarPubMed
Seminowicz, DA, Mayberg, HS, McIntosh, AR, Goldapple, K, Kennedy, S, Segal, Zet al.Limbic-frontal circuitry in major depression: a path modeling metanalysis. Neuroimage 2004;22:409–418.CrossRefGoogle ScholarPubMed
Sheline, YINeuroimaging studies of mood disorder effects on the brain. Biol Psychiatry 2003;54:338–352.CrossRefGoogle Scholar
Taylor, WD, MacFall, JR, Payne, ME, McQuoid, DR, Provenzale, JM, Steffens, DCet al.Late-life depression and microstructural abnormalities in dorsolateral prefrontal cortex white matter. Am J Psychiatry 2004;161:1293–1296.CrossRefGoogle ScholarPubMed
Taylor, WD, MacFall, JR, Gerig, G, Krishnan, RRStructural integrity of the uncinate fasciculus in geriatric depression: Relationship with age of onset. Neuropsychiatr Dis Treat 2007;3:669–674.Google ScholarPubMed
Veiel, HOA preliminary profile of neuropsychological deficits associated with major depression. J Clin Exp Neuropsychol 1997;19:587–603.CrossRefGoogle ScholarPubMed
Vogt, BAPain and emotion interactions in subregions of the cingulate gyrus. Nat Rev Neurosci 2005;6:533–544.CrossRefGoogle ScholarPubMed
Von Cramon, DY, Mai, N, Ziegler, WNeuropsychologische Diagnostik. Weinheim: Chapman & Hall; 1995.Google Scholar
Welsh, KA, Butters, N, Mohs, RC, Beekly, D, Edland, S, Fillenbaum, Get al.The consortium to establish a registry for Alzheimer's disease (CERAD). Part V. A normative study of the neuropsychological battery. Neurology 1994;44:609–614.CrossRefGoogle Scholar
Zimmermann, P, Fimm, BTestbatterie zur erfassung von aufmerksamkeitsstörungen. Freiburg: Psytest; 2002.Google Scholar
Zubenko, GS, Mulsant, BH, Rifai, AH, Sweet, RA, Pasternak, RE, Marino, LJ Jr.et al.Impact of acute psychiatric inpatient treatment on major depression in late life and prediction of response. Am J Psychiatry 1994;151:987–994.Google ScholarPubMed
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