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Neurological Sciences
Published in: Neurological Sciences 8/2019

01-08-2019 | Magnetic Resonance Imaging | Review Article

A complex relation between depression and multiple sclerosis: a descriptive review

Published in: Neurological Sciences | Issue 8/2019

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Abstract

Background

Multiple sclerosis (MS) is a demyelinating neurodegenerative disease that affects central nervous system (CNS). MS patients are more likely to develop depressive symptoms than patients with other chronic diseases.

Objective

In this review, we have analysed if there is a correlation between brain lesions (BL), structural damage (SD) and depressive symptoms (DS).

Methods

We Searched on PubMed and Web of Science databases and screening references of included studied and some review article for additional citations. From initial 745 studies, only 9 met the inclusion criteria. All studies conducted research on 389 patients with MS associated with DS and 120 HC (healthy controls).

Results

The selected researches highlighted the involvement of limbic system, the role of hippocampus and the impact of brain lesions on the emotional status of MS patients.

Discussion

In the genesis of depression are implicated many mechanisms including genetic, biochemical, immunological and psychosocial factors, even if a prominent role in the onset of DS seem to be associated with structural and functional brain alterations.
Literature
1.
Sadovnick AD, Remick RA, Allen J, Swartz E, Yee IML, Eisen K et al (1996) Depression and multiple sclerosis. Neurology 46(3):628–632PubMedCrossRef
2.
Chwastiak L, Ehde DM, Gibbons LE, Sullivan M, Bowen JD, Kraft GH (2002) Depressive symptoms and severity of illness in multiple sclerosis: epidemiologic study of a large community sample. Am J Psychiatr 159(11):1862–1868PubMedCrossRef
3.
Gold SM, Kern KC, O’Connor MF, Montag MJ, Kim A, Yoo YS, Giesser BS, Sicotte NL (2010) Smaller cornu ammonis 2–3/dentate gyrus volumes and elevated cortisol in multiple sclerosis patients with depressive symptoms. Biol Psychiatry 68(6):553–559PubMedPubMedCentralCrossRef
4.
Gold SM, O’Connor MF, Gill R, Kern KC, Shi Y, Henry RG, Pelletier D, Mohr DC, Sicotte NL (2014) Detection of altered hippocampal morphology in multiple sclerosis-associated depression using automated surface mesh modeling. Hum Brain Mapp 35(1):30–37PubMedCrossRef
5.
Kiy G, Lehmann P, Hahn HK, Eling P, Kastrup A, Hildebrandt H (2011) Decreased hippocampal volume, indirectly measured, is associated with depressive symptoms and consolidation deficits in multiple sclerosis. Mult Scler J 17(9):1088–1097CrossRef
6.
7.
Baretz RM, Stephenson GR (1981) Emotional responses to multiple sclerosis. Psychosomatics 22(2):122–123CrossRef
8.
Rabins PV, Brooks BR, O’donnell P, Pearlson GD, Moberg P, Jubelt B et al (1986) Structural brain correlates of emotional disorder in multiple sclerosis. Brain 109(4):585–597PubMedCrossRef
9.
Nunnari D, De Cola MC, D’Aleo G, Rifici C, Russo M, Sessa E et al (2015) Impact of depression, fatigue, and global measure of cortical volume on cognitive impairment in multiple sclerosis. Biomed Res Int 2015:1–7CrossRef
10.
Zorzon M, de Masi R, Nasuelli D, Ukmar M, Mucelli RP, Cazzato G et al (2001) Depression and anxiety in multiple sclerosis. A clinical and MRI study in 95 subjects. J Neurol 248(5):416–421PubMedCrossRef
11.
Feinstein A, Roy P, Lobaugh N, Feinstein K, O’connor P, Black S (2004) Structural brain abnormalities in multiple sclerosis patients with major depression. Neurology 62(4):586–590PubMedCrossRef
12.
Sicotte NL, Kern KC, Giesser BS, Arshanapalli A, Schultz A, Montag M, Wang H, Bookheimer SY (2008) Regional hippocampal atrophy in multiple sclerosis. Brain 131(4):1134–1141PubMedCrossRef
13.
Longoni G, Rocca MA, Pagani E, Riccitelli GC, Colombo B, Rodegher M, Falini A, Comi G, Filippi M (2015) Deficits in memory and visuospatial learning correlate with regional hippocampal atrophy in MS. Brain Struct Funct 220(1):435–444PubMedCrossRef
14.
Roosendaal SD, Moraal B, Vrenken H, Castelijns JA, Pouwels PJ, Barkhof F, Geurts JJ (2008) In vivo MR imaging of hippocampal lesions in multiple sclerosis. J Magn Reson Imaging 27(4):726–731PubMedCrossRef
15.
Nigro S, Passamonti L, Riccelli R, Toschi N, Rocca F, Valentino P, Nisticò R, Fera F, Quattrone A (2015) Structural ‘connectomic’ alterations in the limbic system of multiple sclerosis patients with major depression. Mult Scler J 21(8):1003–1012CrossRef
16.
van Geest Q, Boeschoten RE, Keijzer MJ, Steenwijk MD, Pouwels PJ, Twisk JW et al (2018) Fronto-limbic disconnection in patients with multiple sclerosis and depression. Mult Scler J 25(5):715–726CrossRef
17.
Rocca MA, Barkhof F, De Luca J, Frisén J, Geurts JJ, Hulst HE et al (2018) The hippocampus in multiple sclerosis. Lancet Neurol 17(10):918–926PubMedCrossRef
18.
Bonavita S, Di Salle F, Tedeschi G (1999) Proton MRS in neurological disorders. Eur J Radiol 30(2):125–131PubMedCrossRef
19.
Filippi M, Rocca MA (2007) Magnetization transfer magnetic resonance imaging of the brain, spinal cord, and optic nerve. Neurotherapeutics 4(3):401–413PubMedCrossRef
20.
Zivadinov R, Stosic M, Cox JL, Ramasamy DP, Dwyer MG (2008) The place of conventional MRI and newly emerging MRI techniques in monitoring different aspects of treatment outcome. J Neurol 255(1):61–74PubMedCrossRef
21.
McKinnon MC, Yucel K, Nazarov A, MacQueen GM (2009) A meta-analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder. J Psychiatry Neurosci 34(1):41–54PubMedPubMedCentral
22.
Videbech P, Ravnkilde B (2004) Hippocampal volume and depression: a meta-analysis of MRI studies. Am J Psychiatr 161(11):1957–1966PubMedCrossRef
23.
Campbell S, Marriott M, Nahmias C, MacQueen GM (2004) Lower hippocampal volume in patients suffering from depression: a meta-analysis. Am J Psychiatr 161(4):598–607PubMedCrossRef
24.
Planche V, Ruet A, Coupé P, Lamargue-Hamel D, Deloire M, Pereira B et al (2017) Hippocampal microstructural damage correlates with memory impairment in clinically isolated syndrome suggestive of multiple sclerosis. Mult Scler J 23(9):1214–1224CrossRef
25.
Nistico R, Mori F, Feligioni M, Nicoletti F, Centonze D (2014) Synaptic plasticity in multiple sclerosis and in experimental autoimmune encephalomyelitis. Philos Trans R Soc B 369(1633):20130162CrossRef
26.
Pantano P, Baron JC, Samson Y, Bousser MG, Derouesne C, Comar D (1986) Crossed cerebellar diaschisis: further studies. Brain 109(4):677–694PubMedCrossRef
27.
Pozzilli C, Passafiume D, Bernardi S, Pantano P, Incoccia C, Bastianello S, Bozzao L, Lenzi GL, Fieschi C (1991) SPECT, MRI and cognitive functions in multiple sclerosis. J Neurol Neurosurg Psychiatry 54(2):110–115PubMedPubMedCentralCrossRef
28.
Colasanti A, Guo Q, Giannetti P, Wall MB, Newbould RD, Bishop C et al (2016) Hippocampal neuroinflammation, functional connectivity, and depressive symptoms in multiple sclerosis. Biol Psychiatry 80(1):62–72PubMedPubMedCentralCrossRef
29.
Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33(11):1444–1452PubMedCrossRef
30.
Beck AT, Steer RA, Brown GK (1996) Beck depression inventory-II. San Antonio 78(2):490–498
31.
Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD (1989) The fatigue severity scale: application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol 46(10):1121–1123PubMedCrossRef
32.
Riccelli R, Passamonti L, Cerasa A, Nigro S, Cavalli SM, Chiriaco C et al (2016) Individual differences in depression are associated with abnormal function of the limbic system in multiple sclerosis patients. Mult Scler J 22(8):1094–1105CrossRef
33.
Rocca MA, Pravatà E, Valsasina P, Radaelli M, Colombo B, Vacchi L, Gobbi C, Comi G, Falini A, Filippi M (2015) Hippocampal-DMN disconnectivity in MS is related to WM lesions and depression. Hum Brain Mapp 36(12):5051–5063PubMedCrossRef
34.
Svanborg P, Åsberg M (2001) A comparison between the Beck Depression Inventory (BDI) and the self-rating version of the Montgomery Åsberg Depression Rating Scale (MADRS). J Affect Disord 64(2–3):203–216PubMedCrossRef
35.
Stineman MG, Shea JA, Jette A, Tassoni CJ, Ottenbacher KJ, Fiedler R, Granger CV (1996) The Functional Independence Measure: tests of scaling assumptions, structure, and reliability across 20 diverse impairment categories. Arch Phys Med Rehabil 77(11):1101–1108PubMedCrossRef
36.
Folstein MF, Folstein SE, McHugh PR, Fanjiang G (2000) Mini-mental state examination: MMSE user’s guide. Psychological Assessment Resources, Odessa
37.
Endicott J, Cohen J, Nee J, Fleiss J, Sarantakos S (1981) Hamilton Depression Rating Scale: extracted from regular and change versions of the Schedule for Affective Disorders and Schizophrenia. Arch Gen Psychiatry 38(1):98–103PubMedCrossRef
38.
Shear MK, Vander Bilt J, Rucci P, Endicott J, Lydiard B, Otto MW, Pollack MH, Chandler L, Williams J, Ali A, Frank DM (2001) Reliability and validity of a structured interview guide for the Hamilton Anxiety Rating Scale (SIGH-A). Depress Anxiety 13(4):166–178PubMedCrossRef
39.
Pujol J, Bello J, Deus J, Cardoner N, Martı́-Vilalta JL, Capdevila A (2000) Beck Depression Inventory factors related to demyelinating lesions of the left arcuate fasciculus region. Psychiatry Res Neuroimaging 99(3):151–159CrossRef
40.
Berg D, Supprian T, Thomae J, Warmuth-Metz M, Horowski A, Zeiler B, Magnus T, Rieckmann P, Becker G (2000) Lesion pattern in patients with multiple sclerosis and depression. Mult Scler J 6(3):156–162CrossRef
41.
Sabatini U, Pozzilli C, Pantano P, Koudriavtseva T, Padovani A, Millefiorini E, Biasi CD, Gualdi GF, Salvetti M, Lenzi GL (1996) Involvement of the limbic system in multiple sclerosis patients with depressive disorders. Biol Psychiatry 39(11):970–975PubMedCrossRef
42.
43.
Desikan RS, Ségonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D et al (2006) An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31(3):968–980CrossRef
44.
Zorzon M, Zivadinov R, Nasuelli D, Ukmar M, Bratina A, Tommasi MA, Mucelli RP, Brnabic-Razmilic O, Grop A, Bonfigli L, Cazzato G (2002) Depressive symptoms and MRI changes in multiple sclerosis. Eur J Neurol 9(5):491–496PubMedCrossRef
45.
Perri R, Serra L, Carlesimo GA, Caltagirone C (2007) Amnestic mild cognitive impairment: difference of memory profile in subjects who converted or did not convert to Alzheimer’s disease. Neuropsychology 21(5):549–558PubMedCrossRef
46.
Marshall L, Born J (2007) The contribution of sleep to hippocampus-dependent memory consolidation. Trends Cogn Sci 11(10):442–450PubMedCrossRef
47.
Bluhm R, Williamson P, Lanius R, Théberge J, Densmore M, Bartha R et al (2009) Resting state default-mode network connectivity in early depression using a seed region-of-interest analysis: decreased connectivity with caudate nucleus. Psychiatry Clin Neurosci 63(6):754–761PubMedCrossRef
48.
Chen Y, Wang C, Zhu X, Tan Y, Zhong Y (2015) Aberrant connectivity within the default mode network in first-episode, treatment-naive major depressive disorder. J Affect Disord 183:49–56PubMedCrossRef
49.
Zeng LL, Shen H, Liu L, Wang L, Li B, Fang P, Zhou Z, Li Y, Hu D (2012) Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis. Brain 135(5):1498–1507PubMedCrossRef
50.
Zhu X, Wang X, Xiao J, Liao J, Zhong M, Wang W, Yao S (2012) Evidence of a dissociation pattern in resting-state default mode network connectivity in first-episode, treatment-naive major depression patients. Biol Psychiatry 71(7):611–617PubMedCrossRef
51.
Koolschijn PCMP, van Haren NE, Lensvelt-Mulders GJ, Pol H, Hilleke E, Kahn RS (2009) Brain volume abnormalities in major depressive disorder: a meta-analysis of magnetic resonance imaging studies. Hum Brain Mapp 30(11):3719–3735PubMedCrossRef
52.
Dutta R, Chang A, Doud MK, Kidd GJ, Ribaudo MV, Young EA, Fox RJ, Staugaitis SM, Trapp BD (2011) Demyelination causes synaptic alterations in hippocampi from multiple sclerosis patients. Ann Neurol 69(3):445–454PubMedPubMedCentralCrossRef
53.
Nisticò R, Mango D, Mandolesi G, Piccinin S, Berretta N, Pignatelli M et al (2013) Inflammation subverts hippocampal synaptic plasticity in experimental multiple sclerosis. PLoS One 8(1):e54666PubMedPubMedCentralCrossRef
54.
Pollak Y, Orion E, Goshen I, Ovadia H, Yirmiya R (2002) Experimental autoimmune encephalomyelitis-associated behavioral syndrome as a model of ‘depression due to multiple sclerosis’. Brain Behav Immun 16(5):533–543PubMedCrossRef
55.
Stuke H, Hanken K, Hirsch J, Klein J, Wittig F, Kastrup A, Hildebrandt H (2016) Cross-sectional and longitudinal relationships between depressive symptoms and brain atrophy in MS patients. Front Hum Neurosci 10:622PubMedPubMedCentralCrossRef
56.
Hebb DO (1949) The organization of behavior: a neuropsychological theory. Wiley, New York
57.
Bittner KC, Milstein AD, Grienberger C, Romani S, Magee JC (2017) Behavioral time scale synaptic plasticity underlies CA1 place fields. Science 357(6355):1033–1036PubMedCrossRef
58.
Gomez J, Barnett MA, Natu V, Mezer A, Palomero-Gallagher N, Weiner KS, Amunts K, Zilles K, Grill-Spector K (2017) Microstructural proliferation in human cortex is coupled with the development of face processing. Science 355(6320):68–71PubMedPubMedCentralCrossRef
Metadata
Title
A complex relation between depression and multiple sclerosis: a descriptive review
Publication date
01-08-2019
Published in
Neurological Sciences / Issue 8/2019
Print ISSN: 1590-1874
Electronic ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-019-03889-1

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