Skip to main content
Top
Gepubliceerd in: Neuropraxis 2/2015

01-04-2015 | Artikel

Cognitieve stoornissen bij multiple sclerose patiënten verklaard vanuit een netwerkperspectief

Auteurs: K.A. Meijer, M.M. Schoonheim, J.J.G. Geurts

Gepubliceerd in: Neuropraxis | Uitgave 2/2015

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Samenvatting

Multiple sclerose (MS) is met recht een ‘netwerkziekte’ te noemen. Focale pathologische afwijkingen, zoals wittestoflaesies, hebben niet alleen gevolgen voor het lokale weefsel, maar hebben functionele implicaties voor het hele hersennetwerk. Het onderzoeken van cognitieve stoornissen bij MS-patiënten vanuit een netwerkperspectief kan dan ook complementaire inzichten bieden. Het blijkt namelijk dat cognitieve achteruitgang onvoldoende verklaard kan worden met conventionele MRI-maten, zoals het aantal laesies. Geavanceerde technieken, zoals functionele MRI, hebben de afgelopen jaren bijgedragen aan het beter begrijpen van cognitieve stoornissen bij MS door het brein te beschouwen als één netwerk. Uit eerdere studies blijkt dat het brein in staat is om cognitieve functies te behouden, doordat hersengebieden harder gaan werken of taken van beschadigde gebieden overnemen. Dit fenomeen wordt ook wel ‘functionele reorganisatie’ genoemd. Echter, als de ziekte vordert, neemt de atrofie van grijzestofstructuren, zoals de thalamus, toe en lijkt ‘functionele reorganisatie’ niet langer mogelijk. Het zou daarom goed kunnen dat cognitieve klachten pas tot uiting komen als deze ‘functionele reorganisatie’ faalt bij het in balans houden van het netwerk. Dit artikel bespreekt recente literatuur over cognitieve stoornissen, met de focus op functionele reorganisatie en netwerkafwijkingen bij MS.
Literatuur
1.
go back to reference Lublin FD, Reingold SC. Defining the clinical course of multiple sclerosis: results of an international survey. Neurology. 1996;46:907–11.CrossRefPubMed Lublin FD, Reingold SC. Defining the clinical course of multiple sclerosis: results of an international survey. Neurology. 1996;46:907–11.CrossRefPubMed
2.
go back to reference Barkhof F. The clinico-radiological paradox in multiple sclerosis revisited. Curr Opin Neurol. 2002;15:239–45.CrossRefPubMed Barkhof F. The clinico-radiological paradox in multiple sclerosis revisited. Curr Opin Neurol. 2002;15:239–45.CrossRefPubMed
3.
4.
go back to reference Hulst HE, Schoonheim MM, Roosendaal SD, Popescu V, Schweren LJS, Werf YD van der, Visser LH, Polman CH, Barkhof F, Geurts JJG. Functional adaptive changes within the hippocampal memory system of patients with multiple sclerosis. Hum Brain Mapp. 2012;33:2268–80.CrossRefPubMed Hulst HE, Schoonheim MM, Roosendaal SD, Popescu V, Schweren LJS, Werf YD van der, Visser LH, Polman CH, Barkhof F, Geurts JJG. Functional adaptive changes within the hippocampal memory system of patients with multiple sclerosis. Hum Brain Mapp. 2012;33:2268–80.CrossRefPubMed
5.
go back to reference Rocca MA, Valsasina P, Hulst HE, Abdel-Aziz K, Enzinger C, Gallo A, Pareto D, Riccitelli G, Muhlert N, Ciccarelli O, Barkhof F, Fazekas F, Tedeschi G, Arévalo MJ, Filippi M. Functional correlates of cognitive dysfunction in multiple sclerosis: a multicenter fMRI Study. Hum Brain Mapp. 2014;35:5799–814.CrossRefPubMed Rocca MA, Valsasina P, Hulst HE, Abdel-Aziz K, Enzinger C, Gallo A, Pareto D, Riccitelli G, Muhlert N, Ciccarelli O, Barkhof F, Fazekas F, Tedeschi G, Arévalo MJ, Filippi M. Functional correlates of cognitive dysfunction in multiple sclerosis: a multicenter fMRI Study. Hum Brain Mapp. 2014;35:5799–814.CrossRefPubMed
6.
go back to reference Cader S, Cifelli A, Abu-Omar Y, Palace J, Matthews PM. Reduced brain functional reserve and altered functional connectivity in patients with multiple sclerosis. Brain. 2006;129:527–37.CrossRefPubMed Cader S, Cifelli A, Abu-Omar Y, Palace J, Matthews PM. Reduced brain functional reserve and altered functional connectivity in patients with multiple sclerosis. Brain. 2006;129:527–37.CrossRefPubMed
7.
go back to reference Loitfelder M, Fazekas F, Petrovic K, Fuchs S, Ropele S, Wallner-Blazek M, Jehna M, Aspeck E, Khalil M, Schmidt R, Neuper C, Enzinger C. Reorganization in cognitive networks with progression of multiple sclerosis: insights from fMRI. Neurology. 2011;76:526–33. Loitfelder M, Fazekas F, Petrovic K, Fuchs S, Ropele S, Wallner-Blazek M, Jehna M, Aspeck E, Khalil M, Schmidt R, Neuper C, Enzinger C. Reorganization in cognitive networks with progression of multiple sclerosis: insights from fMRI. Neurology. 2011;76:526–33.
8.
go back to reference Schoonheim MM, Geurts JJ, Barkhof F. The limits of functional reorganization in multiple sclerosis. Neurology. 2010;20:1246–7.CrossRef Schoonheim MM, Geurts JJ, Barkhof F. The limits of functional reorganization in multiple sclerosis. Neurology. 2010;20:1246–7.CrossRef
10.
11.
go back to reference He Y, Chen Z, Evans A. Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer’s disease. J Neurosci. 2008;28:4756–66.CrossRefPubMed He Y, Chen Z, Evans A. Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer’s disease. J Neurosci. 2008;28:4756–66.CrossRefPubMed
12.
go back to reference Sporns O, Chialvo DR, Kaiser M, Hilgetag CC. Organization, development and function of complex brain networks. Trends Cogn Sci. 2004;8:418–25.CrossRefPubMed Sporns O, Chialvo DR, Kaiser M, Hilgetag CC. Organization, development and function of complex brain networks. Trends Cogn Sci. 2004;8:418–25.CrossRefPubMed
13.
go back to reference Rocca MA, Bonnet MC, Meani A, Valsasina P, Colombo B, Comi G, Filippi M. Differential cerebellar functional interactions during an interference task across multiple sclerosis phenotypes. Radiology. 2012;265:864–73.CrossRefPubMed Rocca MA, Bonnet MC, Meani A, Valsasina P, Colombo B, Comi G, Filippi M. Differential cerebellar functional interactions during an interference task across multiple sclerosis phenotypes. Radiology. 2012;265:864–73.CrossRefPubMed
14.
go back to reference Buckner RL, Snyder AZ, Shannon BJ, LaRossa G, Sachs R, Fotenos AF, Sheline YI, Klunk WE, Mathis CA, Morris JC, Mintun MA. Molecular, structural, and functional characterization of Alzheimer’s disease: evidence for a relationship between default activity, amyloid, and memory. J Neurosci. 2005;25:7709–17.CrossRefPubMed Buckner RL, Snyder AZ, Shannon BJ, LaRossa G, Sachs R, Fotenos AF, Sheline YI, Klunk WE, Mathis CA, Morris JC, Mintun MA. Molecular, structural, and functional characterization of Alzheimer’s disease: evidence for a relationship between default activity, amyloid, and memory. J Neurosci. 2005;25:7709–17.CrossRefPubMed
15.
go back to reference Greicius MD, Krasnow B, Reiss AL, Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci USA. 2003;100:253–8.CrossRefPubMedCentralPubMed Greicius MD, Krasnow B, Reiss AL, Menon V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci USA. 2003;100:253–8.CrossRefPubMedCentralPubMed
16.
go back to reference Faivre A, Rico A, Zaaraoui W, Crespy L, Reuter F, Wybrecht D, Soulier E, Malikova I, Confort-Gouny S, Cozzone PJ, Pelletier J, Ranjeva J-P, Audoin B. Assessing brain connectivity at rest is clinically relevant in early multiple sclerosis. Mult Scler. 2012;18:1251–8.CrossRefPubMed Faivre A, Rico A, Zaaraoui W, Crespy L, Reuter F, Wybrecht D, Soulier E, Malikova I, Confort-Gouny S, Cozzone PJ, Pelletier J, Ranjeva J-P, Audoin B. Assessing brain connectivity at rest is clinically relevant in early multiple sclerosis. Mult Scler. 2012;18:1251–8.CrossRefPubMed
17.
go back to reference Hawellek DJ, Hipp JF, Lewis CM, Corbetta M, Engel AK. Increased functional connectivity indicates the severity of cognitive impairment in multiple sclerosis. PNAS. 2011;108:19066–71.CrossRefPubMedCentralPubMed Hawellek DJ, Hipp JF, Lewis CM, Corbetta M, Engel AK. Increased functional connectivity indicates the severity of cognitive impairment in multiple sclerosis. PNAS. 2011;108:19066–71.CrossRefPubMedCentralPubMed
18.
go back to reference Cruz-Gómez ÁJ, Ventura-Campos N, Belenguer A, Ávila C, Forn C. The link between resting-state functional connectivity and cognition in MS patients. Mult Scler. 2014;20:338–48.CrossRefPubMed Cruz-Gómez ÁJ, Ventura-Campos N, Belenguer A, Ávila C, Forn C. The link between resting-state functional connectivity and cognition in MS patients. Mult Scler. 2014;20:338–48.CrossRefPubMed
19.
go back to reference Bonavita S, Gallo A, Sacco R, Corte M Della, Bisecco A, Docimo R, Lavorgna L, Corbo D, Costanzo A Di, Tortora F, Cirillo M, Esposito F, Tedeschi G. Distributed changes in default-mode resting-state connectivity in multiple sclerosis. Mult Scler. 2011;17:411–22.CrossRefPubMed Bonavita S, Gallo A, Sacco R, Corte M Della, Bisecco A, Docimo R, Lavorgna L, Corbo D, Costanzo A Di, Tortora F, Cirillo M, Esposito F, Tedeschi G. Distributed changes in default-mode resting-state connectivity in multiple sclerosis. Mult Scler. 2011;17:411–22.CrossRefPubMed
20.
go back to reference Houtchens MK, Benedict RHB, Killiany R, Sharma J, Jaisani Z, Singh B, Weinstock-Guttman B, Guttmann CRG, Bakshi R. Thalamic atrophy and cognition in multiple sclerosis. Neurology. 2007;69:1213–23.CrossRefPubMed Houtchens MK, Benedict RHB, Killiany R, Sharma J, Jaisani Z, Singh B, Weinstock-Guttman B, Guttmann CRG, Bakshi R. Thalamic atrophy and cognition in multiple sclerosis. Neurology. 2007;69:1213–23.CrossRefPubMed
21.
go back to reference Calabrese M, Rinaldi F, Grossi P, Mattisi I, Bernardi V, Favaretto A, Perini P, Gallo P. Basal ganglia and frontal/parietal cortical atrophy is associated with fatigue in relapsing-remitting multiple sclerosis. Mult Scler. 2010;16:1220–8.CrossRefPubMed Calabrese M, Rinaldi F, Grossi P, Mattisi I, Bernardi V, Favaretto A, Perini P, Gallo P. Basal ganglia and frontal/parietal cortical atrophy is associated with fatigue in relapsing-remitting multiple sclerosis. Mult Scler. 2010;16:1220–8.CrossRefPubMed
22.
go back to reference Batista S, Zivadinov R, Hoogs M, Bergsland N, Heininen-Brown M, Dwyer MG, Weinstock-Guttman B, Benedict RHB. Basal ganglia, thalamus and neocortical atrophy predicting slowed cognitive processing in multiple sclerosis. J Neurol. 2012;259:139–46.CrossRefPubMed Batista S, Zivadinov R, Hoogs M, Bergsland N, Heininen-Brown M, Dwyer MG, Weinstock-Guttman B, Benedict RHB. Basal ganglia, thalamus and neocortical atrophy predicting slowed cognitive processing in multiple sclerosis. J Neurol. 2012;259:139–46.CrossRefPubMed
23.
go back to reference Schoonheim MM, Popescu V, Rueda Lopes FC, Wiebenga OT, Vrenken H, Douw L, Polman CH, Geurts JJG, Barkhof F. Subcortical atrophy and cognition: sex effects in multiple sclerosis. Neurology. 2012b;79:1754–61.CrossRefPubMed Schoonheim MM, Popescu V, Rueda Lopes FC, Wiebenga OT, Vrenken H, Douw L, Polman CH, Geurts JJG, Barkhof F. Subcortical atrophy and cognition: sex effects in multiple sclerosis. Neurology. 2012b;79:1754–61.CrossRefPubMed
24.
go back to reference Schoonheim MM, Hulst HE, Landi D, Ciccarelli O, Roosendaal SD, Sanz-Arigita EJ, Vrenken H, Polman CH, Stam CJ, Barkhof F, Geurts JJG. Gender-related differences in functional connectivity in multiple sclerosis. Mult Scler. 2012a;18:164–73.CrossRefPubMed Schoonheim MM, Hulst HE, Landi D, Ciccarelli O, Roosendaal SD, Sanz-Arigita EJ, Vrenken H, Polman CH, Stam CJ, Barkhof F, Geurts JJG. Gender-related differences in functional connectivity in multiple sclerosis. Mult Scler. 2012a;18:164–73.CrossRefPubMed
25.
go back to reference Li Y-O, Yang FG, Nguyen CT, Cooper SR, LaHue SC, Venugopal S, Mukherjee P. Independent component analysis of DTI reveals multivariate microstructural correlations of white matter in the human brain. Hum Brain Mapp. 2012;33:1431–51.CrossRefPubMed Li Y-O, Yang FG, Nguyen CT, Cooper SR, LaHue SC, Venugopal S, Mukherjee P. Independent component analysis of DTI reveals multivariate microstructural correlations of white matter in the human brain. Hum Brain Mapp. 2012;33:1431–51.CrossRefPubMed
26.
go back to reference Shu N, Liu Y, Li K, Duan Y, Wang J, Yu C, Dong H, Ye J, He Y. Diffusion tensor tractography reveals disrupted topological efficiency in white matter structural networks in multiple sclerosis. Cereb Cortex. 2011;21:2565–77.CrossRefPubMed Shu N, Liu Y, Li K, Duan Y, Wang J, Yu C, Dong H, Ye J, He Y. Diffusion tensor tractography reveals disrupted topological efficiency in white matter structural networks in multiple sclerosis. Cereb Cortex. 2011;21:2565–77.CrossRefPubMed
27.
go back to reference Richiardi J, Gschwind M, Simioni S, Annoni J-M, Greco B, Hagmann P, Schluep M, Vuilleumier P, Ville D Van De. Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity. Neuroimage. 2012;62:2021–33. Richiardi J, Gschwind M, Simioni S, Annoni J-M, Greco B, Hagmann P, Schluep M, Vuilleumier P, Ville D Van De. Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity. Neuroimage. 2012;62:2021–33.
Metagegevens
Titel
Cognitieve stoornissen bij multiple sclerose patiënten verklaard vanuit een netwerkperspectief
Auteurs
K.A. Meijer
M.M. Schoonheim
J.J.G. Geurts
Publicatiedatum
01-04-2015
Uitgeverij
Bohn Stafleu van Loghum
Gepubliceerd in
Neuropraxis / Uitgave 2/2015
Print ISSN: 1387-5817
Elektronisch ISSN: 1876-5785
DOI
https://doi.org/10.1007/s12474-015-0077-0

Andere artikelen Uitgave 2/2015

Neuropraxis 2/2015 Naar de uitgave

EditorialNotes

Woorden vooraf