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Erschienen in: Journal of Neurology 11/2023

27.08.2023 | Original Communication

Cortical thickness and cognition in older people with multiple sclerosis

verfasst von: Dejan Jakimovski, Robert Zivadinov, Zachary Weinstock, Tom A. Fuchs, Alexander Bartnik, Michael G. Dwyer, Niels Bergsland, Bianca Weinstock-Guttman, Ralph H. B. Benedict

Erschienen in: Journal of Neurology | Ausgabe 11/2023

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Abstract

Background

The structural changes associated with cognitive performance in older people with multiple sclerosis (PwMS; age ≥ 50 years old) remain unknown.

Objective

To determine the relationship between whole-brain (WBV), thalamus as the largest deep gray matter nuclei, and cortex-specific volume measurements with both cognitive impairment and numerical performance in older PwMS. The main hypothesis is that cognitive impairment (CI) in older PwMS is explained by cortical thinning in addition to global and thalamic neurodegenerative changes.

Methods

A total of 101 older PwMS underwent cognitive and neuroimaging assessment. Cognitive assessment included tests established as sensitive in MS samples (Minimal Assessment of Cognitive Function in MS; MACFIMS), as well as those tests often utilized in Alzheimer’s dementia studies (Wechsler’s Memory Scale, Boston Naming Test, Visual Motor Integration and language). Cognitive impairment (CI) was based on -1.5 standard deviations in at least 2 cognitive domains (executive function, learning and memory, spatial processing, processing speed and working memory and language) when compared to healthy controls. WBV and thalamic volume were calculated using SIENAX/FIRST and cortical thickness using FreeSurfer. Differences in cortical thickness between CI and cognitively preserved (CP) were determined using age, sex, education, depression and WBV-adjusted analysis of covariance (ANCOVA). The relationship between domain-specific cognitive performance and cortical thickness was analyzed by linear regression models adjusted for age, sex, education, depression, WBV and thalamic volume. Benjamini-Hochberg-adjusted p-values lower than 0.05 were considered significant.

Results

The average age of the study population was 62.6 (5.9) years old. After adjustment, CI PwMS had significantly thinner left fusiform (p = 0.0003), left inferior (p = 0.0032), left transverse (p = 0.0013), and bilateral superior temporal gyri (p = 0.002 and p = 0.0011) when compared to CP PwMS. After adjusting for age, sex, education, depression WBV, and thalamic volume, CI status was additionally predicted by the thickness of the left fusiform (p = 0.001) and left cuneus gyri (p = 0.004). After the adjustment, SDMT scores were additionally associated with left fusiform gyrus (p < 0.001) whereas letter-based verbal fluency performance with left pars opercularis gyrus (p < 0.001).

Conclusion

In addition to global and thalamic neurodegenerative changes, the presence of CI in older PwMS is additionally explained by the thickness of multiple cortical regions.
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Literatur
1.
Zurück zum Zitat Thompson AJ, Baranzini SE, Geurts J, Hemmer B, Ciccarelli O (2018) Multiple sclerosis. The Lancet 391:1622–1636CrossRef Thompson AJ, Baranzini SE, Geurts J, Hemmer B, Ciccarelli O (2018) Multiple sclerosis. The Lancet 391:1622–1636CrossRef
2.
Zurück zum Zitat Benedict RHB, Amato MP, DeLuca J, Geurts JJG (2020) Cognitive impairment in multiple sclerosis: clinical management, MRI, and therapeutic avenues. Lancet Neurol 19:860–871PubMedPubMedCentralCrossRef Benedict RHB, Amato MP, DeLuca J, Geurts JJG (2020) Cognitive impairment in multiple sclerosis: clinical management, MRI, and therapeutic avenues. Lancet Neurol 19:860–871PubMedPubMedCentralCrossRef
3.
Zurück zum Zitat Vaughn CB, Jakimovski D, Kavak KS et al (2019) Epidemiology and treatment of multiple sclerosis in elderly populations. Nat Rev Neurol 15:329–342PubMedCrossRef Vaughn CB, Jakimovski D, Kavak KS et al (2019) Epidemiology and treatment of multiple sclerosis in elderly populations. Nat Rev Neurol 15:329–342PubMedCrossRef
4.
Zurück zum Zitat Wallin MT, Culpepper WJ, Campbell JD et al (2019) The prevalence of MS in the United States: A population-based estimate using health claims data. Neurology 92:e1029–e1040PubMedPubMedCentralCrossRef Wallin MT, Culpepper WJ, Campbell JD et al (2019) The prevalence of MS in the United States: A population-based estimate using health claims data. Neurology 92:e1029–e1040PubMedPubMedCentralCrossRef
5.
Zurück zum Zitat Roy S, Drake A, Snyder S et al (2018) Preliminary investigation of cognitive function in aged multiple sclerosis patients: Challenges in detecting comorbid Alzheimer’s disease. Mult Scler Relat Disord 22:52–56PubMedCrossRef Roy S, Drake A, Snyder S et al (2018) Preliminary investigation of cognitive function in aged multiple sclerosis patients: Challenges in detecting comorbid Alzheimer’s disease. Mult Scler Relat Disord 22:52–56PubMedCrossRef
6.
Zurück zum Zitat Jakimovski D, Szigeti K, Jaworski M 3rd et al (2020) Differential Diagnosis of Cognitive Decline in Elderly Individuals With Multiple Sclerosis. Cogn Behav Neurol 33:294–300PubMedCrossRef Jakimovski D, Szigeti K, Jaworski M 3rd et al (2020) Differential Diagnosis of Cognitive Decline in Elderly Individuals With Multiple Sclerosis. Cogn Behav Neurol 33:294–300PubMedCrossRef
7.
Zurück zum Zitat Müller S, Saur R, Greve B et al (2012) Recognition performance differentiates between elderly patients in the long term course of secondary progressive multiple sclerosis and amnestic mild cognitive impairment. Mult Scler J 19:799–805CrossRef Müller S, Saur R, Greve B et al (2012) Recognition performance differentiates between elderly patients in the long term course of secondary progressive multiple sclerosis and amnestic mild cognitive impairment. Mult Scler J 19:799–805CrossRef
8.
Zurück zum Zitat Roth AK, Denney DR, Burns JM, Lynch SG (2018) Cognition in older patients with multiple sclerosis compared to patients with amnestic mild cognitive impairment and healthy older adults. Neuropsychology 32:654–663PubMedPubMedCentralCrossRef Roth AK, Denney DR, Burns JM, Lynch SG (2018) Cognition in older patients with multiple sclerosis compared to patients with amnestic mild cognitive impairment and healthy older adults. Neuropsychology 32:654–663PubMedPubMedCentralCrossRef
11.
Zurück zum Zitat De Meo E, Portaccio E, Giorgio A et al (2021) Identifying the distinct cognitive phenotypes in multiple sclerosis. JAMA Neurol 78:414–425PubMedCrossRef De Meo E, Portaccio E, Giorgio A et al (2021) Identifying the distinct cognitive phenotypes in multiple sclerosis. JAMA Neurol 78:414–425PubMedCrossRef
12.
Zurück zum Zitat Barois E, Sagawa Y, Yilmaz S, Magnin E, Decavel P (2021) What (more) can verbal fluency tell us about multiple sclerosis? Ann Phys Rehabil Med 64:101394PubMedCrossRef Barois E, Sagawa Y, Yilmaz S, Magnin E, Decavel P (2021) What (more) can verbal fluency tell us about multiple sclerosis? Ann Phys Rehabil Med 64:101394PubMedCrossRef
13.
Zurück zum Zitat Ghione E, Bergsland N, Dwyer MG et al (2019) Aging and brain atrophy in multiple sclerosis. J Neuroimaging 29:527–535PubMedCrossRef Ghione E, Bergsland N, Dwyer MG et al (2019) Aging and brain atrophy in multiple sclerosis. J Neuroimaging 29:527–535PubMedCrossRef
14.
Zurück zum Zitat Azevedo CJ, Cen SY, Jaberzadeh A, Zheng L, Hauser SL, Pelletier D (2019) Contribution of normal aging to brain atrophy in MS. Neurol Neuroimmunol Neuroinflamm 6:e616PubMedPubMedCentralCrossRef Azevedo CJ, Cen SY, Jaberzadeh A, Zheng L, Hauser SL, Pelletier D (2019) Contribution of normal aging to brain atrophy in MS. Neurol Neuroimmunol Neuroinflamm 6:e616PubMedPubMedCentralCrossRef
15.
Zurück zum Zitat Azevedo CJ, Cen SY, Khadka S et al (2018) Thalamic atrophy in multiple sclerosis: A magnetic resonance imaging marker of neurodegeneration throughout disease. Ann Neurol 83:223–234PubMedPubMedCentralCrossRef Azevedo CJ, Cen SY, Khadka S et al (2018) Thalamic atrophy in multiple sclerosis: A magnetic resonance imaging marker of neurodegeneration throughout disease. Ann Neurol 83:223–234PubMedPubMedCentralCrossRef
16.
Zurück zum Zitat Zivadinov R, Havrdová E, Bergsland N et al (2013) Thalamic atrophy is associated with development of clinically definite multiple sclerosis. Radiology 268:831–841PubMedCrossRef Zivadinov R, Havrdová E, Bergsland N et al (2013) Thalamic atrophy is associated with development of clinically definite multiple sclerosis. Radiology 268:831–841PubMedCrossRef
17.
Zurück zum Zitat Steenwijk MD, Geurts JJ, Daams M et al (2016) Cortical atrophy patterns in multiple sclerosis are non-random and clinically relevant. Brain 139:115–126PubMedCrossRef Steenwijk MD, Geurts JJ, Daams M et al (2016) Cortical atrophy patterns in multiple sclerosis are non-random and clinically relevant. Brain 139:115–126PubMedCrossRef
18.
Zurück zum Zitat Bergsland N, Zivadinov R, Dwyer MG, Weinstock-Guttman B, Benedict RH (2016) Localized atrophy of the thalamus and slowed cognitive processing speed in MS patients. Mult Scler 22:1327–1336PubMedCrossRef Bergsland N, Zivadinov R, Dwyer MG, Weinstock-Guttman B, Benedict RH (2016) Localized atrophy of the thalamus and slowed cognitive processing speed in MS patients. Mult Scler 22:1327–1336PubMedCrossRef
19.
Zurück zum Zitat Amin M, Ontaneda D (2020) Thalamic injury and cognition in multiple sclerosis. Front Neurol 11:623914PubMedCrossRef Amin M, Ontaneda D (2020) Thalamic injury and cognition in multiple sclerosis. Front Neurol 11:623914PubMedCrossRef
20.
Zurück zum Zitat Polman CH, Reingold SC, Banwell B et al (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69:292–302PubMedPubMedCentralCrossRef Polman CH, Reingold SC, Banwell B et al (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69:292–302PubMedPubMedCentralCrossRef
21.
Zurück zum Zitat Thompson AJ, Banwell BL, Barkhof F et al (2018) Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. The Lancet Neurology 17:162–173PubMedCrossRef Thompson AJ, Banwell BL, Barkhof F et al (2018) Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. The Lancet Neurology 17:162–173PubMedCrossRef
22.
Zurück zum Zitat Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33:1444–1452PubMedCrossRef Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33:1444–1452PubMedCrossRef
23.
24.
Zurück zum Zitat Motl RW, Cohen JA, Benedict R et al (2017) Validity of the timed 25-foot walk as an ambulatory performance outcome measure for multiple sclerosis. Mult Scler 23:704–710PubMedPubMedCentralCrossRef Motl RW, Cohen JA, Benedict R et al (2017) Validity of the timed 25-foot walk as an ambulatory performance outcome measure for multiple sclerosis. Mult Scler 23:704–710PubMedPubMedCentralCrossRef
25.
Zurück zum Zitat Feys P, Lamers I, Francis G et al (2017) The Nine-Hole Peg Test as a manual dexterity performance measure for multiple sclerosis. Mult Scler 23:711–720PubMedPubMedCentralCrossRef Feys P, Lamers I, Francis G et al (2017) The Nine-Hole Peg Test as a manual dexterity performance measure for multiple sclerosis. Mult Scler 23:711–720PubMedPubMedCentralCrossRef
26.
Zurück zum Zitat Desikan RS, Ségonne F, Fischl B et al (2006) An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31:968–980PubMedCrossRef Desikan RS, Ségonne F, Fischl B et al (2006) An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31:968–980PubMedCrossRef
28.
Zurück zum Zitat Efron B, Tibshirani RJ (1994) An introduction to the bootstrap: CRC press Efron B, Tibshirani RJ (1994) An introduction to the bootstrap: CRC press
29.
Zurück zum Zitat Eijlers AJC, Dekker I, Steenwijk MD et al (2019) Cortical atrophy accelerates as cognitive decline worsens in multiple sclerosis. Neurology 93:e1348–e1359PubMedCrossRef Eijlers AJC, Dekker I, Steenwijk MD et al (2019) Cortical atrophy accelerates as cognitive decline worsens in multiple sclerosis. Neurology 93:e1348–e1359PubMedCrossRef
30.
Zurück zum Zitat Spain RI, Hildebrand A, Waslo CS et al (2023) Processing speed and memory test performance are associated with different brain region volumes in Veterans and others with progressive multiple sclerosis. Front Neurol 14:1188124PubMedPubMedCentralCrossRef Spain RI, Hildebrand A, Waslo CS et al (2023) Processing speed and memory test performance are associated with different brain region volumes in Veterans and others with progressive multiple sclerosis. Front Neurol 14:1188124PubMedPubMedCentralCrossRef
31.
Zurück zum Zitat Rocca MA, Riccitelli GC, Meani A et al (2019) Cognitive reserve, cognition, and regional brain damage in MS: A 2 -year longitudinal study. Mult Scler 25:372–381PubMedCrossRef Rocca MA, Riccitelli GC, Meani A et al (2019) Cognitive reserve, cognition, and regional brain damage in MS: A 2 -year longitudinal study. Mult Scler 25:372–381PubMedCrossRef
32.
Zurück zum Zitat Amato MP, Portaccio E, Goretti B et al (2007) Association of neocortical volume changes with cognitive deterioration in relapsing-remitting multiple sclerosis. Arch Neurol 64:1157–1161PubMedCrossRef Amato MP, Portaccio E, Goretti B et al (2007) Association of neocortical volume changes with cognitive deterioration in relapsing-remitting multiple sclerosis. Arch Neurol 64:1157–1161PubMedCrossRef
33.
Zurück zum Zitat Blecher T, Miron S, Schneider GG, Achiron A, Ben-Shachar M (2019) Association between white matter microstructure and verbal fluency in patients with multiple sclerosis. Front Psychol 10:1607PubMedPubMedCentralCrossRef Blecher T, Miron S, Schneider GG, Achiron A, Ben-Shachar M (2019) Association between white matter microstructure and verbal fluency in patients with multiple sclerosis. Front Psychol 10:1607PubMedPubMedCentralCrossRef
34.
Zurück zum Zitat Sjøgård M, Wens V, Van Schependom J et al (2021) Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis. Hum Brain Mapp 42:626–643PubMedCrossRef Sjøgård M, Wens V, Van Schependom J et al (2021) Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis. Hum Brain Mapp 42:626–643PubMedCrossRef
35.
Zurück zum Zitat Koenig KA, Beall EB, Sakaie KE et al (2021) Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis. PLoS One 16:e0251338PubMedPubMedCentralCrossRef Koenig KA, Beall EB, Sakaie KE et al (2021) Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis. PLoS One 16:e0251338PubMedPubMedCentralCrossRef
36.
Zurück zum Zitat Dehaene S, Naccache L, Cohen L et al (2001) Cerebral mechanisms of word masking and unconscious repetition priming. Nat Neurosci 4:752–758PubMedCrossRef Dehaene S, Naccache L, Cohen L et al (2001) Cerebral mechanisms of word masking and unconscious repetition priming. Nat Neurosci 4:752–758PubMedCrossRef
37.
Zurück zum Zitat Balsamo LM, Xu B, Gaillard WD (2006) Language lateralization and the role of the fusiform gyrus in semantic processing in young children. Neuroimage 31:1306–1314PubMedCrossRef Balsamo LM, Xu B, Gaillard WD (2006) Language lateralization and the role of the fusiform gyrus in semantic processing in young children. Neuroimage 31:1306–1314PubMedCrossRef
38.
Zurück zum Zitat Mion M, Patterson K, Acosta-Cabronero J et al (2010) What the left and right anterior fusiform gyri tell us about semantic memory. Brain 133:3256–3268PubMedCrossRef Mion M, Patterson K, Acosta-Cabronero J et al (2010) What the left and right anterior fusiform gyri tell us about semantic memory. Brain 133:3256–3268PubMedCrossRef
39.
Zurück zum Zitat Tomaiuolo F, MacDonald JD, Caramanos Z et al (1999) Morphology, morphometry and probability mapping of the pars opercularis of the inferior frontal gyrus: an in vivo MRI analysis. Eur J Neurosci 11:3033–3046PubMedCrossRef Tomaiuolo F, MacDonald JD, Caramanos Z et al (1999) Morphology, morphometry and probability mapping of the pars opercularis of the inferior frontal gyrus: an in vivo MRI analysis. Eur J Neurosci 11:3033–3046PubMedCrossRef
40.
Zurück zum Zitat Vonk JMJ, Rizvi B, Lao PJ et al (2019) Letter and category fluency performance correlates with distinct patterns of cortical thickness in older adults. Cereb Cortex 29:2694–2700PubMedCrossRef Vonk JMJ, Rizvi B, Lao PJ et al (2019) Letter and category fluency performance correlates with distinct patterns of cortical thickness in older adults. Cereb Cortex 29:2694–2700PubMedCrossRef
41.
Zurück zum Zitat Catani M, Mesulam MM, Jakobsen E et al (2013) A novel frontal pathway underlies verbal fluency in primary progressive aphasia. Brain 136:2619–2628PubMedPubMedCentralCrossRef Catani M, Mesulam MM, Jakobsen E et al (2013) A novel frontal pathway underlies verbal fluency in primary progressive aphasia. Brain 136:2619–2628PubMedPubMedCentralCrossRef
42.
Zurück zum Zitat Shergill SS, Brammer MJ, Fukuda R et al (2002) Modulation of activity in temporal cortex during generation of inner speech. Hum Brain Mapp 16:219–227PubMedPubMedCentralCrossRef Shergill SS, Brammer MJ, Fukuda R et al (2002) Modulation of activity in temporal cortex during generation of inner speech. Hum Brain Mapp 16:219–227PubMedPubMedCentralCrossRef
43.
Zurück zum Zitat Nygaard GO, Walhovd KB, Sowa P et al (2015) Cortical thickness and surface area relate to specific symptoms in early relapsing-remitting multiple sclerosis. Mult Scler 21:402–414PubMedCrossRef Nygaard GO, Walhovd KB, Sowa P et al (2015) Cortical thickness and surface area relate to specific symptoms in early relapsing-remitting multiple sclerosis. Mult Scler 21:402–414PubMedCrossRef
44.
Zurück zum Zitat Narayana PA, Govindarajan KA, Goel P et al (2012) Regional cortical thickness in relapsing remitting multiple sclerosis: a multi-center study. Neuroimage Clin 2:120–131PubMedPubMedCentralCrossRef Narayana PA, Govindarajan KA, Goel P et al (2012) Regional cortical thickness in relapsing remitting multiple sclerosis: a multi-center study. Neuroimage Clin 2:120–131PubMedPubMedCentralCrossRef
45.
Zurück zum Zitat Stellmann J-P, Wanke N, Maarouf A et al (2021) Cognitive performance shows domain specific associations with regional cortical thickness in multiple sclerosis. NeuroImage Clin 30:102606PubMedPubMedCentralCrossRef Stellmann J-P, Wanke N, Maarouf A et al (2021) Cognitive performance shows domain specific associations with regional cortical thickness in multiple sclerosis. NeuroImage Clin 30:102606PubMedPubMedCentralCrossRef
46.
Zurück zum Zitat Jakimovski D, Dujmic D, Hagemeier J et al (2020) Late onset multiple sclerosis is associated with more severe ventricle expansion. Mult Scler Relat Disord 46:102588PubMedCrossRef Jakimovski D, Dujmic D, Hagemeier J et al (2020) Late onset multiple sclerosis is associated with more severe ventricle expansion. Mult Scler Relat Disord 46:102588PubMedCrossRef
47.
Zurück zum Zitat Jakimovski D, Bergsland N, Dwyer MG et al (2020) Long-standing multiple sclerosis neurodegeneration: volumetric magnetic resonance imaging comparison to Parkinson’s disease, mild cognitive impairment, Alzheimer’s disease, and elderly healthy controls. Neurobiol Aging 90:84–92PubMedPubMedCentralCrossRef Jakimovski D, Bergsland N, Dwyer MG et al (2020) Long-standing multiple sclerosis neurodegeneration: volumetric magnetic resonance imaging comparison to Parkinson’s disease, mild cognitive impairment, Alzheimer’s disease, and elderly healthy controls. Neurobiol Aging 90:84–92PubMedPubMedCentralCrossRef
Metadaten
Titel
Cortical thickness and cognition in older people with multiple sclerosis
verfasst von
Dejan Jakimovski
Robert Zivadinov
Zachary Weinstock
Tom A. Fuchs
Alexander Bartnik
Michael G. Dwyer
Niels Bergsland
Bianca Weinstock-Guttman
Ralph H. B. Benedict
Publikationsdatum
27.08.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Neurology / Ausgabe 11/2023
Print ISSN: 0340-5354
Elektronische ISSN: 1432-1459
DOI
https://doi.org/10.1007/s00415-023-11945-2

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