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Published in: BMC Neurology 1/2021

01-12-2021 | Stroke | Research article

Clinically accessible neuroimaging predictors of post-stroke neurocognitive disorder: a prospective observational study

Authors: Till Schellhorn, Eva Birgitte Aamodt, Stian Lydersen, Stina Aam, Torgeir Bruun Wyller, Ingvild Saltvedt, Mona Kristiansen Beyer

Published in: BMC Neurology | Issue 1/2021

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Abstract

Background

Neurocognitive disorder (NCD) is common in stroke survivors. We aimed to identify clinically accessible imaging markers of stroke and chronic pathology that are associated with early post-stroke NCD.

Methods

We included 231 stroke survivors from the “Norwegian Cognitive Impairment after Stroke (Nor-COAST)” study who underwent a standardized cognitive assessment 3 months after the stroke. Any NCD (mild cognitive impairment and dementia) and major NCD (dementia) were diagnosed according to “Diagnostic and Statistical Manual of Mental Disorders (DSM-5)” criteria. Clinically accessible imaging findings were analyzed on study-specific brain MRIs in the early phase after stroke. Stroke lesion volumes were semi automatically quantified and strategic stroke locations were determined by an atlas based coregistration. White matter hyperintensities (WMH) and medial temporal lobe atrophy (MTA) were visually scored. Logistic regression was used to identify neuroimaging findings associated with major NCD and any NCD.

Results

Mean age was 71.8 years (SD 11.1), 101 (43.7%) were females, mean time from stroke to imaging was 8 (SD 16) days. At 3 months 63 (27.3%) had mild NCD and 65 (28.1%) had major NCD. Any NCD was significantly associated with WMH pathology (odds ratio (OR) = 2.73 [1.56 to 4.77], p = 0.001), MTA pathology (OR = 1.95 [1.12 to 3.41], p = 0.019), and left hemispheric stroke (OR = 1.8 [1.05 to 3.09], p = 0.032). Major NCD was significantly associated with WMH pathology (OR = 2.54 [1.33 to 4.84], p = 0.005) and stroke lesion volume (OR (per ml) =1.04 [1.01 to 1.06], p = 0.001).

Conclusion

WMH pathology, MTA pathology and left hemispheric stroke were associated with the development of any NCD. Stroke lesion volume and WMH pathology were associated with the development of major NCD 3 months after stroke. These imaging findings may be used in the routine clinical setting to identify patients at risk for early post-stroke NCD.

Trial registration

ClinicalTrials.gov, NCT02650531, Registered 8 January 2016 – Retrospectively registered.
Appendix
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Literature
1.
go back to reference Jokinen H, Melkas S, Ylikoski R, Pohjasvaara T, Kaste M, Erkinjuntti T, et al. Post-stroke cognitive impairment is common even after successful clinical recovery. Eur J Neurol. 2015;22(9):1288–94.PubMedCrossRef Jokinen H, Melkas S, Ylikoski R, Pohjasvaara T, Kaste M, Erkinjuntti T, et al. Post-stroke cognitive impairment is common even after successful clinical recovery. Eur J Neurol. 2015;22(9):1288–94.PubMedCrossRef
2.
go back to reference Pendlebury ST, Rothwell PM. Incidence and prevalence of dementia associated with transient ischaemic attack and stroke: analysis of the population-based Oxford vascular study. Lancet Neurol. 2019;18(3):248–58.PubMedPubMedCentralCrossRef Pendlebury ST, Rothwell PM. Incidence and prevalence of dementia associated with transient ischaemic attack and stroke: analysis of the population-based Oxford vascular study. Lancet Neurol. 2019;18(3):248–58.PubMedPubMedCentralCrossRef
3.
go back to reference Nys GMS, van Zandvoort MJE, de Kort PLM, van der Worp HB, Jansen BPW, Algra A, et al. The prognostic value of domain-specific cognitive abilities in acute first-ever stroke. Neurology. 2005;64(5):821.PubMedCrossRef Nys GMS, van Zandvoort MJE, de Kort PLM, van der Worp HB, Jansen BPW, Algra A, et al. The prognostic value of domain-specific cognitive abilities in acute first-ever stroke. Neurology. 2005;64(5):821.PubMedCrossRef
4.
go back to reference Oksala NK, Jokinen H, Melkas S, Oksala A, Pohjasvaara T, Hietanen M, et al. Cognitive impairment predicts poststroke death in long-term follow-up. J Neurol Neurosurg Psychiatry. 2009;80(11):1230–5.PubMedCrossRef Oksala NK, Jokinen H, Melkas S, Oksala A, Pohjasvaara T, Hietanen M, et al. Cognitive impairment predicts poststroke death in long-term follow-up. J Neurol Neurosurg Psychiatry. 2009;80(11):1230–5.PubMedCrossRef
6.
go back to reference Sachdev PS, Blacker D, Blazer DG, Ganguli M, Jeste DV, Paulsen JS, et al. Classifying neurocognitive disorders: the DSM-5 approach. Nat Rev Neurol. 2014;10(11):634–42.PubMedCrossRef Sachdev PS, Blacker D, Blazer DG, Ganguli M, Jeste DV, Paulsen JS, et al. Classifying neurocognitive disorders: the DSM-5 approach. Nat Rev Neurol. 2014;10(11):634–42.PubMedCrossRef
7.
go back to reference Mellon L, Brewer L, Hall P, Horgan F, Williams D, Hickey A, et al. Cognitive impairment six months after ischaemic stroke: a profile from the ASPIRE-S study. BMC Neurol. 2015;15(1):31.PubMedPubMedCentralCrossRef Mellon L, Brewer L, Hall P, Horgan F, Williams D, Hickey A, et al. Cognitive impairment six months after ischaemic stroke: a profile from the ASPIRE-S study. BMC Neurol. 2015;15(1):31.PubMedPubMedCentralCrossRef
8.
go back to reference Munthe-Kaas R, Aam S, Ihle-Hansen H, Lydersen S, Knapskog A-B, Wyller TB, et al. Impact of different methods defining post-stroke neurocognitive disorder: the nor-COAST study. Alzheimers Dement. 2020;6(1):e12000. Munthe-Kaas R, Aam S, Ihle-Hansen H, Lydersen S, Knapskog A-B, Wyller TB, et al. Impact of different methods defining post-stroke neurocognitive disorder: the nor-COAST study. Alzheimers Dement. 2020;6(1):e12000.
9.
go back to reference Jokinen H, Koikkalainen J, Laakso HM, Melkas S, Nieminen T, Brander A, et al. Global burden of small vessel disease–related brain changes on MRI predicts cognitive and functional decline. Stroke. 2020;51(1):170–8.PubMedCrossRef Jokinen H, Koikkalainen J, Laakso HM, Melkas S, Nieminen T, Brander A, et al. Global burden of small vessel disease–related brain changes on MRI predicts cognitive and functional decline. Stroke. 2020;51(1):170–8.PubMedCrossRef
10.
go back to reference Pendlebury ST. Dementia in patients hospitalized with stroke: rates, time course, and Clinico-pathologic factors. Int J Stroke. 2012;7(7):570–81.PubMedCrossRef Pendlebury ST. Dementia in patients hospitalized with stroke: rates, time course, and Clinico-pathologic factors. Int J Stroke. 2012;7(7):570–81.PubMedCrossRef
11.
go back to reference Grysiewicz R, Gorelick PB. Key neuroanatomical structures for post-stroke cognitive impairment. Curr Neurol Neurosci Rep. 2012;12(6):703–8.PubMedCrossRef Grysiewicz R, Gorelick PB. Key neuroanatomical structures for post-stroke cognitive impairment. Curr Neurol Neurosci Rep. 2012;12(6):703–8.PubMedCrossRef
12.
go back to reference Schirmer MD, Donahue KL, Nardin MJ, Dalca AV, Giese A-K, Etherton MR, et al. Brain volume: an important determinant of functional outcome after acute ischemic stroke. Mayo Clin Proc. 2020;95(5):955–65.PubMedCrossRef Schirmer MD, Donahue KL, Nardin MJ, Dalca AV, Giese A-K, Etherton MR, et al. Brain volume: an important determinant of functional outcome after acute ischemic stroke. Mayo Clin Proc. 2020;95(5):955–65.PubMedCrossRef
13.
go back to reference Tomlinson BE, Blessed G, Roth M. Observations on the brains of demented old people. J Neurol Sci. 1970;11(3):205–42.PubMedCrossRef Tomlinson BE, Blessed G, Roth M. Observations on the brains of demented old people. J Neurol Sci. 1970;11(3):205–42.PubMedCrossRef
14.
go back to reference Puy L, Barbay M, Roussel M, Canaple S, Lamy C, Arnoux A, et al. Neuroimaging determinants of Poststroke cognitive performance. Stroke. 2018;49(11):2666–73.PubMedCrossRef Puy L, Barbay M, Roussel M, Canaple S, Lamy C, Arnoux A, et al. Neuroimaging determinants of Poststroke cognitive performance. Stroke. 2018;49(11):2666–73.PubMedCrossRef
15.
go back to reference Sivakumar L, Riaz P, Kate M, Jeerakathil T, Beaulieu C, Buck B, et al. White matter hyperintensity volume predicts persistent cognitive impairment in transient ischemic attack and minor stroke. Int J Stroke. 2017;12(3):264–72.PubMedCrossRef Sivakumar L, Riaz P, Kate M, Jeerakathil T, Beaulieu C, Buck B, et al. White matter hyperintensity volume predicts persistent cognitive impairment in transient ischemic attack and minor stroke. Int J Stroke. 2017;12(3):264–72.PubMedCrossRef
16.
go back to reference Molad J, Hallevi H, Korczyn AD, Kliper E, Auriel E, Bornstein NM, et al. Vascular and neurodegenerative markers for the prediction of post-stroke cognitive impairment: results from the TABASCO study. J Alzheimers Dis. 2019;70(3):889–98.PubMedCrossRef Molad J, Hallevi H, Korczyn AD, Kliper E, Auriel E, Bornstein NM, et al. Vascular and neurodegenerative markers for the prediction of post-stroke cognitive impairment: results from the TABASCO study. J Alzheimers Dis. 2019;70(3):889–98.PubMedCrossRef
17.
go back to reference Thijs VN, Lansberg MG, Beaulieu C, Marks MP, Moseley ME, Albers GW. Is early ischemic lesion volume on diffusion-weighted imaging an independent predictor of stroke outcome?: a multivariable analysis. Stroke. 2000;31(11):2597–602.PubMedCrossRef Thijs VN, Lansberg MG, Beaulieu C, Marks MP, Moseley ME, Albers GW. Is early ischemic lesion volume on diffusion-weighted imaging an independent predictor of stroke outcome?: a multivariable analysis. Stroke. 2000;31(11):2597–602.PubMedCrossRef
18.
go back to reference Thingstad P, Askim T, Beyer MK, Braathen G, Ellekjær H, Ihle-Hansen H, et al. The Norwegian Cognitive impairment after stroke study (Nor-COAST): study protocol of a multicentre, prospective cohort study. BMC Neurol. 2018;18(1):193.PubMedPubMedCentralCrossRef Thingstad P, Askim T, Beyer MK, Braathen G, Ellekjær H, Ihle-Hansen H, et al. The Norwegian Cognitive impairment after stroke study (Nor-COAST): study protocol of a multicentre, prospective cohort study. BMC Neurol. 2018;18(1):193.PubMedPubMedCentralCrossRef
19.
go back to reference Hatano S. Experience from a multicentre stroke register: a preliminary report. Bull World Health Organ. 1976;54(5):541–53.PubMedPubMedCentral Hatano S. Experience from a multicentre stroke register: a preliminary report. Bull World Health Organ. 1976;54(5):541–53.PubMedPubMedCentral
20.
go back to reference Schellhorn T, Zucknick M, Askim T, Munthe-Kaas R, Ihle-Hansen H, Seljeseth YM, et al. Vascular brain pathology is more important than neurodegeneration in the pathogenesis of pre-stroke cognitive impairment. medRxiv. 2020;14:1. Schellhorn T, Zucknick M, Askim T, Munthe-Kaas R, Ihle-Hansen H, Seljeseth YM, et al. Vascular brain pathology is more important than neurodegeneration in the pathogenesis of pre-stroke cognitive impairment. medRxiv. 2020;14:1.
21.
go back to reference Woolrich MW, Jbabdi S, Patenaude B, Chappell M, Makni S, Behrens T, et al. Bayesian analysis of neuroimaging data in FSL. NeuroImage. 2009;45(Supplement 1):S173–86.PubMedCrossRef Woolrich MW, Jbabdi S, Patenaude B, Chappell M, Makni S, Behrens T, et al. Bayesian analysis of neuroimaging data in FSL. NeuroImage. 2009;45(Supplement 1):S173–86.PubMedCrossRef
22.
go back to reference Jenkinson M, Smith S. A global optimisation method for robust affine registration of brain images. Med Image Anal. 2001;5(2):143–56.PubMedCrossRef Jenkinson M, Smith S. A global optimisation method for robust affine registration of brain images. Med Image Anal. 2001;5(2):143–56.PubMedCrossRef
23.
go back to reference Yushkevich PA, Piven J, Hazlett HC, Smith RG, Ho S, Gee JC, et al. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage. 2006;31(3):1116–28.PubMedCrossRef Yushkevich PA, Piven J, Hazlett HC, Smith RG, Ho S, Gee JC, et al. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage. 2006;31(3):1116–28.PubMedCrossRef
24.
go back to reference Munsch F, Sagnier S, Asselineau J, Bigourdan A, Guttmann CR, Debruxelles S, et al. Stroke location is an independent predictor of cognitive outcome. Stroke. 2016;47(1):66–73.PubMedCrossRef Munsch F, Sagnier S, Asselineau J, Bigourdan A, Guttmann CR, Debruxelles S, et al. Stroke location is an independent predictor of cognitive outcome. Stroke. 2016;47(1):66–73.PubMedCrossRef
25.
go back to reference Zhao L, Biesbroek JM, Shi L, Liu W, Kuijf HJ, Chu WW, et al. Strategic infarct location for post-stroke cognitive impairment: a multivariate lesion-symptom mapping study. J Cereb Blood Flow Metab. 2018;38(8):1299–311.PubMedCrossRef Zhao L, Biesbroek JM, Shi L, Liu W, Kuijf HJ, Chu WW, et al. Strategic infarct location for post-stroke cognitive impairment: a multivariate lesion-symptom mapping study. J Cereb Blood Flow Metab. 2018;38(8):1299–311.PubMedCrossRef
26.
go back to reference Lancaster JL, Woldorff MG, Parsons LM, Liotti M, Freitas CS, Rainey L, et al. Automated Talairach atlas labels for functional brain mapping. Hum Brain Mapp. 2000;10(3):120–31.PubMedPubMedCentralCrossRef Lancaster JL, Woldorff MG, Parsons LM, Liotti M, Freitas CS, Rainey L, et al. Automated Talairach atlas labels for functional brain mapping. Hum Brain Mapp. 2000;10(3):120–31.PubMedPubMedCentralCrossRef
27.
go back to reference Notter M, Gale D, Herholz P, Markello R, Notter-Bielser M-L, Whitaker K. AtlasReader: a Python package to generate coordinate tables, region labels, and informative figures from statistical MRI images. J Open Source Softw. 2019;4(34):1257.CrossRef Notter M, Gale D, Herholz P, Markello R, Notter-Bielser M-L, Whitaker K. AtlasReader: a Python package to generate coordinate tables, region labels, and informative figures from statistical MRI images. J Open Source Softw. 2019;4(34):1257.CrossRef
28.
go back to reference Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA. MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging. AJR Am J Roentgenol. 1987;149(2):351–6.PubMedCrossRef Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA. MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging. AJR Am J Roentgenol. 1987;149(2):351–6.PubMedCrossRef
29.
go back to reference Vernooij MW, Smits M. Structural neuroimaging in aging and Alzheimer’s disease. Neuroimaging Clin N Am. 2012;22(1):33–55.PubMedCrossRef Vernooij MW, Smits M. Structural neuroimaging in aging and Alzheimer’s disease. Neuroimaging Clin N Am. 2012;22(1):33–55.PubMedCrossRef
30.
go back to reference Scheltens P, Leys D, Barkhof F, Huglo D, Weinstein HC, Vermersch P, et al. Atrophy of medial temporal lobes on MRI in probable Alzheimer’s disease and normal ageing: diagnostic value and neuropsychological correlates. J Neurol Neurosurg Psychiatry. 1992;55(10):967–72.PubMedPubMedCentralCrossRef Scheltens P, Leys D, Barkhof F, Huglo D, Weinstein HC, Vermersch P, et al. Atrophy of medial temporal lobes on MRI in probable Alzheimer’s disease and normal ageing: diagnostic value and neuropsychological correlates. J Neurol Neurosurg Psychiatry. 1992;55(10):967–72.PubMedPubMedCentralCrossRef
31.
go back to reference Ferreira D, Cavallin L, Larsson E-M, Muehlboeck J-S, Mecocci P, Vellas B, et al. Practical cut-offs for visual rating scales of medial temporal, frontal and posterior atrophy in Alzheimer’s disease and mild cognitive impairment. J Intern Med. 2015;278(3):277–90.PubMedCrossRef Ferreira D, Cavallin L, Larsson E-M, Muehlboeck J-S, Mecocci P, Vellas B, et al. Practical cut-offs for visual rating scales of medial temporal, frontal and posterior atrophy in Alzheimer’s disease and mild cognitive impairment. J Intern Med. 2015;278(3):277–90.PubMedCrossRef
32.
go back to reference Adams HP, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of org 10172 in acute stroke treatment. Stroke. 1993;24(1):35–41.PubMedCrossRef Adams HP, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of org 10172 in acute stroke treatment. Stroke. 1993;24(1):35–41.PubMedCrossRef
33.
go back to reference Reisberg B, Ferris S, de Leon M, Crook T. The global deterioration scale for assessment of primary degenerative dementia. Am J Psychiatr. 1982;139(9):1136–9.PubMedCrossRef Reisberg B, Ferris S, de Leon M, Crook T. The global deterioration scale for assessment of primary degenerative dementia. Am J Psychiatr. 1982;139(9):1136–9.PubMedCrossRef
34.
go back to reference Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–9.PubMedCrossRef Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–9.PubMedCrossRef
35.
go back to reference StataCorp. Stata. tata Statistical Software: Release 16. College Station: StataCorp LLC; 2019. StataCorp. Stata. tata Statistical Software: Release 16. College Station: StataCorp LLC; 2019.
36.
go back to reference Firbank MJ, Burton EJ, Barber R, Stephens S, Kenny RA, Ballard C, et al. Medial temporal atrophy rather than white matter hyperintensities predict cognitive decline in stroke survivors. Neurobiol Aging. 2007;28(11):1664–9.PubMedCrossRef Firbank MJ, Burton EJ, Barber R, Stephens S, Kenny RA, Ballard C, et al. Medial temporal atrophy rather than white matter hyperintensities predict cognitive decline in stroke survivors. Neurobiol Aging. 2007;28(11):1664–9.PubMedCrossRef
37.
go back to reference Dienanta S, Hamdan M, Soetjipto S, Machin A. The relevance of right and left hemisphere classification to predict cognitive outcome after stroke. J Indonesian Med Assoc. 2020 Sep 3;70(8):151–8.CrossRef Dienanta S, Hamdan M, Soetjipto S, Machin A. The relevance of right and left hemisphere classification to predict cognitive outcome after stroke. J Indonesian Med Assoc. 2020 Sep 3;70(8):151–8.CrossRef
38.
go back to reference Sagnier S, Munsch F, Bigourdan A, Debruxelles S, Poli M, Renou P, et al. The influence of stroke location on cognitive and mood impairment. A voxel-based lesion-symptom mapping study. J Stroke Cerebrovasc Dis. 2019;28(5):1236–42.PubMedCrossRef Sagnier S, Munsch F, Bigourdan A, Debruxelles S, Poli M, Renou P, et al. The influence of stroke location on cognitive and mood impairment. A voxel-based lesion-symptom mapping study. J Stroke Cerebrovasc Dis. 2019;28(5):1236–42.PubMedCrossRef
39.
go back to reference Pendlebury ST, Rothwell PM. Prevalence, incidence, and factors associated with pre-stroke and post-stroke dementia: a systematic review and meta-analysis. Lancet Neurol. 2009;8(11):1006–18.PubMedCrossRef Pendlebury ST, Rothwell PM. Prevalence, incidence, and factors associated with pre-stroke and post-stroke dementia: a systematic review and meta-analysis. Lancet Neurol. 2009;8(11):1006–18.PubMedCrossRef
40.
go back to reference Amber B, Boers AM, Bot Joseph CJ, Berkhemer OA, Lingsma HF, Yoo AJ, et al. Associations of ischemic lesion volume with functional outcome in patients with acute ischemic stroke. Stroke. 2017;48(5):1233–40.CrossRef Amber B, Boers AM, Bot Joseph CJ, Berkhemer OA, Lingsma HF, Yoo AJ, et al. Associations of ischemic lesion volume with functional outcome in patients with acute ischemic stroke. Stroke. 2017;48(5):1233–40.CrossRef
41.
go back to reference Gerhard V, Rico L, Ashfaq S, Armin S. Initial lesion volume is an independent predictor of clinical stroke outcome at day 90. Stroke. 2012;43(5):1266–72.CrossRef Gerhard V, Rico L, Ashfaq S, Armin S. Initial lesion volume is an independent predictor of clinical stroke outcome at day 90. Stroke. 2012;43(5):1266–72.CrossRef
42.
go back to reference Zaidi SF, Amin A, Xabier U, Mouhammada J, Brian J, Maxim H, et al. Final infarct volume is a stronger predictor of outcome than recanalization in patients with proximal middle cerebral artery occlusion treated with endovascular therapy. Stroke. 2012;43(12):3238–44.PubMedCrossRef Zaidi SF, Amin A, Xabier U, Mouhammada J, Brian J, Maxim H, et al. Final infarct volume is a stronger predictor of outcome than recanalization in patients with proximal middle cerebral artery occlusion treated with endovascular therapy. Stroke. 2012;43(12):3238–44.PubMedCrossRef
43.
go back to reference Elijovich L, Goyal N, Mainali S, Hoit D, Arthur AS, Whitehead M, et al. CTA collateral score predicts infarct volume and clinical outcome after endovascular therapy for acute ischemic stroke: a retrospective chart review. J NeuroIntervent Surg. 2016;8(6):559–62.CrossRef Elijovich L, Goyal N, Mainali S, Hoit D, Arthur AS, Whitehead M, et al. CTA collateral score predicts infarct volume and clinical outcome after endovascular therapy for acute ischemic stroke: a retrospective chart review. J NeuroIntervent Surg. 2016;8(6):559–62.CrossRef
44.
go back to reference Mistry EA, Mistry AM, Mehta T, Arora N, Starosciak AK, Rosa FDLRL, et al. White matter disease and outcomes of mechanical Thrombectomy for acute ischemic stroke. Am J Neuroradiol. 2020;41(4):639–44.PubMedCrossRefPubMedCentral Mistry EA, Mistry AM, Mehta T, Arora N, Starosciak AK, Rosa FDLRL, et al. White matter disease and outcomes of mechanical Thrombectomy for acute ischemic stroke. Am J Neuroradiol. 2020;41(4):639–44.PubMedCrossRefPubMedCentral
45.
go back to reference Brickman AM, Zahodne LB, Guzman VA, Narkhede A, Meier IB, Griffith EY, et al. Reconsidering harbingers of dementia: progression of parietal lobe white matter hyperintensities predicts Alzheimer’s disease incidence. Neurobiol Aging. 2015;36(1):27–32.PubMedCrossRef Brickman AM, Zahodne LB, Guzman VA, Narkhede A, Meier IB, Griffith EY, et al. Reconsidering harbingers of dementia: progression of parietal lobe white matter hyperintensities predicts Alzheimer’s disease incidence. Neurobiol Aging. 2015;36(1):27–32.PubMedCrossRef
46.
go back to reference Debette S, Markus HS. The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ (Clinical research ed). 2010;341:c3666.CrossRef Debette S, Markus HS. The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ (Clinical research ed). 2010;341:c3666.CrossRef
47.
go back to reference Gorelick PB, Scuteri A, Black SE, DeCarli C, Greenberg SM, Iadecola C, et al. Vascular contributions to cognitive impairment and dementia. Stroke. 2011;42(9):2672–713.PubMedPubMedCentralCrossRef Gorelick PB, Scuteri A, Black SE, DeCarli C, Greenberg SM, Iadecola C, et al. Vascular contributions to cognitive impairment and dementia. Stroke. 2011;42(9):2672–713.PubMedPubMedCentralCrossRef
48.
go back to reference Haley AP, Hoth KF, Gunstad J, Paul RH, Jefferson AL, Tate DF, et al. Subjective cognitive complaints relate to white matter Hyperintensities and future cognitive decline in patients with cardiovascular disease. Am J Geriatr Psychiatry. 2009;17(11):976–85.PubMedPubMedCentralCrossRef Haley AP, Hoth KF, Gunstad J, Paul RH, Jefferson AL, Tate DF, et al. Subjective cognitive complaints relate to white matter Hyperintensities and future cognitive decline in patients with cardiovascular disease. Am J Geriatr Psychiatry. 2009;17(11):976–85.PubMedPubMedCentralCrossRef
49.
go back to reference Debette S, Beiser A, DeCarli C, Au R, Himali JJ, Kelly-Hayes M, et al. Association of MRI markers of vascular brain injury with incident stroke, mild cognitive impairment, dementia, and mortality. Stroke. 2010;41(4):600–6.PubMedPubMedCentralCrossRef Debette S, Beiser A, DeCarli C, Au R, Himali JJ, Kelly-Hayes M, et al. Association of MRI markers of vascular brain injury with incident stroke, mild cognitive impairment, dementia, and mortality. Stroke. 2010;41(4):600–6.PubMedPubMedCentralCrossRef
50.
go back to reference Wardlaw JM, Smith EE, Biessels GJ, Cordonnier C, Fazekas F, Frayne R, et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol. 2013 Aug;12(8):822–38.PubMedPubMedCentralCrossRef Wardlaw JM, Smith EE, Biessels GJ, Cordonnier C, Fazekas F, Frayne R, et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol. 2013 Aug;12(8):822–38.PubMedPubMedCentralCrossRef
51.
go back to reference Longstreth WT, Arnold AM, Beauchamp NJ, Manolio TA. Lefkowitz David, Jungreis Charles, et al. incidence, manifestations, and predictors of worsening white matter on serial cranial magnetic resonance imaging in the elderly. Stroke. 2005;36(1):56–61.PubMedCrossRef Longstreth WT, Arnold AM, Beauchamp NJ, Manolio TA. Lefkowitz David, Jungreis Charles, et al. incidence, manifestations, and predictors of worsening white matter on serial cranial magnetic resonance imaging in the elderly. Stroke. 2005;36(1):56–61.PubMedCrossRef
52.
go back to reference Vermeer SE, Prins ND, den Heijer T, Hofman A, Koudstaal PJ, Breteler MMB. Silent brain infarcts and the risk of dementia and cognitive decline. N Engl J Med. 2003;348(13):1215–22.PubMedCrossRef Vermeer SE, Prins ND, den Heijer T, Hofman A, Koudstaal PJ, Breteler MMB. Silent brain infarcts and the risk of dementia and cognitive decline. N Engl J Med. 2003;348(13):1215–22.PubMedCrossRef
53.
go back to reference Prins ND, Scheltens P. White matter hyperintensities, cognitive impairment and dementia: an update. Nat Rev Neurol. 2015;11(3):157–65.PubMedCrossRef Prins ND, Scheltens P. White matter hyperintensities, cognitive impairment and dementia: an update. Nat Rev Neurol. 2015;11(3):157–65.PubMedCrossRef
55.
go back to reference Mortensen KN, Sanggaard S, Mestre H, Lee H, Kostrikov S, Xavier ALR, et al. Impaired Glymphatic transport in spontaneously hypertensive rats. J Neurosci. 2019;39(32):6365–77.PubMedPubMedCentralCrossRef Mortensen KN, Sanggaard S, Mestre H, Lee H, Kostrikov S, Xavier ALR, et al. Impaired Glymphatic transport in spontaneously hypertensive rats. J Neurosci. 2019;39(32):6365–77.PubMedPubMedCentralCrossRef
56.
57.
go back to reference Kim HJ, Ye BS, Yoon CW, Noh Y, Kim GH, Cho H, et al. Cortical thickness and hippocampal shape in pure vascular mild cognitive impairment and dementia of subcortical type. Eur J Neurol. 2014;21(5):744–51.PubMedPubMedCentralCrossRef Kim HJ, Ye BS, Yoon CW, Noh Y, Kim GH, Cho H, et al. Cortical thickness and hippocampal shape in pure vascular mild cognitive impairment and dementia of subcortical type. Eur J Neurol. 2014;21(5):744–51.PubMedPubMedCentralCrossRef
58.
go back to reference O’Sullivan M, Ngo E, Viswanathan A, Jouvent E, Gschwendtner A, Saemann PG, et al. Hippocampal volume is an independent predictor of cognitive performance in CADASIL. Neurobiol Aging. 2009 Jun;30(6):890–7.PubMedCrossRef O’Sullivan M, Ngo E, Viswanathan A, Jouvent E, Gschwendtner A, Saemann PG, et al. Hippocampal volume is an independent predictor of cognitive performance in CADASIL. Neurobiol Aging. 2009 Jun;30(6):890–7.PubMedCrossRef
59.
go back to reference Fiford CM, Manning EN, Bartlett JW, Cash DM, Malone IB, Ridgway GR, et al. White matter hyperintensities are associated with disproportionate progressive hippocampal atrophy. Hippocampus. 2017;27(3):249–62.PubMedPubMedCentralCrossRef Fiford CM, Manning EN, Bartlett JW, Cash DM, Malone IB, Ridgway GR, et al. White matter hyperintensities are associated with disproportionate progressive hippocampal atrophy. Hippocampus. 2017;27(3):249–62.PubMedPubMedCentralCrossRef
60.
go back to reference Cumming TB, Brodtmann A. Can stroke cause neurodegenerative dementia? Int J Stroke. 2011;6(5):416–24.PubMedCrossRef Cumming TB, Brodtmann A. Can stroke cause neurodegenerative dementia? Int J Stroke. 2011;6(5):416–24.PubMedCrossRef
61.
go back to reference Bath PM, Wardlaw JM. Pharmacological treatment and prevention of cerebral small vessel disease: a review of potential interventions. Int J Stroke. 2015;10(4):469–78.PubMedPubMedCentralCrossRef Bath PM, Wardlaw JM. Pharmacological treatment and prevention of cerebral small vessel disease: a review of potential interventions. Int J Stroke. 2015;10(4):469–78.PubMedPubMedCentralCrossRef
62.
go back to reference Carole D, John C, Oguzhan C, Véronique B, Marie-Germaine B, Pierre G, et al. Effects of blood pressure lowering on cerebral white matter Hyperintensities in patients with stroke. Circulation. 2005;112(11):1644–50.CrossRef Carole D, John C, Oguzhan C, Véronique B, Marie-Germaine B, Pierre G, et al. Effects of blood pressure lowering on cerebral white matter Hyperintensities in patients with stroke. Circulation. 2005;112(11):1644–50.CrossRef
Metadata
Title
Clinically accessible neuroimaging predictors of post-stroke neurocognitive disorder: a prospective observational study
Authors
Till Schellhorn
Eva Birgitte Aamodt
Stian Lydersen
Stina Aam
Torgeir Bruun Wyller
Ingvild Saltvedt
Mona Kristiansen Beyer
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Neurology / Issue 1/2021
Electronic ISSN: 1471-2377
DOI
https://doi.org/10.1186/s12883-021-02117-8

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