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Erschienen in: Neuroradiology 4/2024

19.01.2024 | Diagnostic Neuroradiology

Atrophy of the cholinergic regions advances from early to late mild cognitive impairment

verfasst von: Ying-Liang Larry Lai, Fei-Ting Hsu, Shu-Yi Yeh, Yu-Tzu Kuo, Hui-Hsien Lin, Yi-Chun Lin, Li-Wei Kuo, Cheng-Yu Chen, Hua-Shan Liu, for the Alzheimer’s Disease Neuroimaging Initiative

Erschienen in: Neuroradiology | Ausgabe 4/2024

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Abstract

Purpose

We investigated the volumetric changes in the components of the cholinergic pathway for patients with early mild cognitive impairment (EMCI) and those with late mild cognitive impairment (LMCI). The effect of patients’ apolipoprotein 4 (APOE-ε4) allele status on the structural changes were analyzed.

Methods

Structural magnetic resonance imaging data were collected. Patients’ demographic information, plasma data, and validated global cognitive composite scores were included. Relevant features were extracted for constructing machine learning models to differentiate between EMCI (n = 312) and LMCI (n = 541) and predict patients’ neurocognitive function. The data were analyzed primarily through one-way analysis of variance and two-way analysis of covariance.

Results

Considerable differences were observed in cholinergic structural changes between patients with EMCI and LMCI. Cholinergic atrophy was more prominent in the LMCI cohort than in the EMCI cohort (P < 0.05 family-wise error corrected). APOE-ε4 differentially affected cholinergic atrophy in the LMCI and EMCI cohorts. For LMCI cohort, APOE-ε4 carriers exhibited increased brain atrophy (left amygdala: P = 0.001; right amygdala: P = 0.006, and right Ch123, P = 0.032). EMCI and LCMI patients showed distinctive associations of gray matter volumes in cholinergic regions with executive (R2 = 0.063 and 0.030 for EMCI and LMCI, respectively) and language (R2 = 0.095 and 0.042 for EMCI and LMCI, respectively) function.

Conclusions

Our data confirmed significant cholinergic atrophy differences between early and late stages of mild cognitive impairment. The impact of the APOE-ε4 allele on cholinergic atrophy varied between the LMCI and EMCI groups.
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Literatur
2.
Zurück zum Zitat Morris JC, Storandt M, Miller JP et al (2001) Mild cognitive impairment represents early-stage Alzheimer disease. Arch Neurol 58:397–405PubMedCrossRef Morris JC, Storandt M, Miller JP et al (2001) Mild cognitive impairment represents early-stage Alzheimer disease. Arch Neurol 58:397–405PubMedCrossRef
3.
Zurück zum Zitat Jessen F, Wolfsgruber S, Wiese B et al (2014) AD dementia risk in late MCI, in early MCI, and in subjective memory impairment. Alzheimers Dement 10:76–83PubMedCrossRef Jessen F, Wolfsgruber S, Wiese B et al (2014) AD dementia risk in late MCI, in early MCI, and in subjective memory impairment. Alzheimers Dement 10:76–83PubMedCrossRef
4.
Zurück zum Zitat Aisen PS, Petersen RC, Donohue MC et al (2010) Clinical Core of the Alzheimer’s Disease Neuroimaging Initiative: progress and plans. Alzheimers Dement 6:239–246PubMedPubMedCentralCrossRef Aisen PS, Petersen RC, Donohue MC et al (2010) Clinical Core of the Alzheimer’s Disease Neuroimaging Initiative: progress and plans. Alzheimers Dement 6:239–246PubMedPubMedCentralCrossRef
5.
Zurück zum Zitat Cai S, Huang L, Zou J et al (2015) Changes in thalamic connectivity in the early and late stages of amnestic mild cognitive impairment: a resting-state functional magnetic resonance study from ADNI. PLoS ONE 10:e0115573PubMedPubMedCentralCrossRef Cai S, Huang L, Zou J et al (2015) Changes in thalamic connectivity in the early and late stages of amnestic mild cognitive impairment: a resting-state functional magnetic resonance study from ADNI. PLoS ONE 10:e0115573PubMedPubMedCentralCrossRef
6.
Zurück zum Zitat Weiner MW, Veitch DP, Aisen PS et al (2015) 2014 Update of the Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception. Alzheimer’s Dementia 11:e1-120PubMedCrossRef Weiner MW, Veitch DP, Aisen PS et al (2015) 2014 Update of the Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception. Alzheimer’s Dementia 11:e1-120PubMedCrossRef
7.
Zurück zum Zitat Jessen F, Wolfsgruber S, Wiese B et al (2014) AD dementia risk in late MCI, in early MCI, and in subjective memory impairment. Alzheimer’s Dementia 10:76–83PubMedCrossRef Jessen F, Wolfsgruber S, Wiese B et al (2014) AD dementia risk in late MCI, in early MCI, and in subjective memory impairment. Alzheimer’s Dementia 10:76–83PubMedCrossRef
8.
Zurück zum Zitat Edmonds EC, McDonald CR, Marshall A et al (2019) Early versus late MCI: Improved MCI staging using a neuropsychological approach. Alzheimer’s Dementia 15:699–708PubMedCrossRef Edmonds EC, McDonald CR, Marshall A et al (2019) Early versus late MCI: Improved MCI staging using a neuropsychological approach. Alzheimer’s Dementia 15:699–708PubMedCrossRef
9.
Zurück zum Zitat Jitsuishi T, Yamaguchi A (2022) Searching for optimal machine learning model to classify mild cognitive impairment (MCI) subtypes using multimodal MRI data. Sci Rep 12:4284ADSPubMedPubMedCentralCrossRef Jitsuishi T, Yamaguchi A (2022) Searching for optimal machine learning model to classify mild cognitive impairment (MCI) subtypes using multimodal MRI data. Sci Rep 12:4284ADSPubMedPubMedCentralCrossRef
10.
Zurück zum Zitat Zamani J, Sadr A, Javadi AH (2022) Classification of early-MCI patients from healthy controls using evolutionary optimization of graph measures of resting-state fMRI, for the Alzheimer’s disease neuroimaging initiative. PLoS ONE 17:e0267608PubMedPubMedCentralCrossRef Zamani J, Sadr A, Javadi AH (2022) Classification of early-MCI patients from healthy controls using evolutionary optimization of graph measures of resting-state fMRI, for the Alzheimer’s disease neuroimaging initiative. PLoS ONE 17:e0267608PubMedPubMedCentralCrossRef
11.
Zurück zum Zitat Mesulam MM (2013) Cholinergic circuitry of the human nucleus basalis and its fate in Alzheimer’s disease. J Comparative Neurol 521:4124–4144CrossRef Mesulam MM (2013) Cholinergic circuitry of the human nucleus basalis and its fate in Alzheimer’s disease. J Comparative Neurol 521:4124–4144CrossRef
12.
Zurück zum Zitat Schmitz TW, Mur M, Aghourian M, Bedard M-A, Spreng RN (2018) Longitudinal Alzheimer’s Degeneration Reflects the Spatial Topography of Cholinergic Basal Forebrain Projections. Cell Rep 24:38–46PubMedPubMedCentralCrossRef Schmitz TW, Mur M, Aghourian M, Bedard M-A, Spreng RN (2018) Longitudinal Alzheimer’s Degeneration Reflects the Spatial Topography of Cholinergic Basal Forebrain Projections. Cell Rep 24:38–46PubMedPubMedCentralCrossRef
13.
Zurück zum Zitat Arendt T, Brückner MK, Morawski M, Jäger C, Gertz H-J (2015) Early neurone loss in Alzheimer’s disease: cortical or subcortical? Acta Neuropathol Commun 3:1–11CrossRef Arendt T, Brückner MK, Morawski M, Jäger C, Gertz H-J (2015) Early neurone loss in Alzheimer’s disease: cortical or subcortical? Acta Neuropathol Commun 3:1–11CrossRef
14.
Zurück zum Zitat Baker-Nigh A, Vahedi S, Davis EG et al (2015) Neuronal amyloid-β accumulation within cholinergic basal forebrain in ageing and Alzheimer’s disease. Brain 138:1722–1737PubMedPubMedCentralCrossRef Baker-Nigh A, Vahedi S, Davis EG et al (2015) Neuronal amyloid-β accumulation within cholinergic basal forebrain in ageing and Alzheimer’s disease. Brain 138:1722–1737PubMedPubMedCentralCrossRef
15.
Zurück zum Zitat Braak H, Del Tredici K (2015) The preclinical phase of the pathological process underlying sporadic Alzheimer’s disease. Brain 138:2814–2833PubMedCrossRef Braak H, Del Tredici K (2015) The preclinical phase of the pathological process underlying sporadic Alzheimer’s disease. Brain 138:2814–2833PubMedCrossRef
16.
Zurück zum Zitat Schmitz T, Nathan Spreng R (2016) Alzheimer’s Disease Neuroimaging I (2016) Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology. Nat Commun 7:13249ADSPubMedPubMedCentralCrossRef Schmitz T, Nathan Spreng R (2016) Alzheimer’s Disease Neuroimaging I (2016) Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology. Nat Commun 7:13249ADSPubMedPubMedCentralCrossRef
17.
Zurück zum Zitat Kondo H, Zaborszky L (2016) Topographic organization of the basal forebrain projections to the perirhinal, postrhinal, and entorhinal cortex in rats. J Comparative Neurol 524:2503–2515CrossRef Kondo H, Zaborszky L (2016) Topographic organization of the basal forebrain projections to the perirhinal, postrhinal, and entorhinal cortex in rats. J Comparative Neurol 524:2503–2515CrossRef
18.
Zurück zum Zitat Fernández-Cabello S, Kronbichler M, Van Dijk KRA et al (2020) Basal forebrain volume reliably predicts the cortical spread of Alzheimer’s degeneration. Brain 143:993–1009PubMedPubMedCentralCrossRef Fernández-Cabello S, Kronbichler M, Van Dijk KRA et al (2020) Basal forebrain volume reliably predicts the cortical spread of Alzheimer’s degeneration. Brain 143:993–1009PubMedPubMedCentralCrossRef
19.
Zurück zum Zitat Castellano JM, Kim J, Stewart FR et al (2011) Human apoE Isoforms Differentially Regulate Brain Amyloid-β Peptide Clearance. Sci Translat Med 3:89ra57-89ra57CrossRef Castellano JM, Kim J, Stewart FR et al (2011) Human apoE Isoforms Differentially Regulate Brain Amyloid-β Peptide Clearance. Sci Translat Med 3:89ra57-89ra57CrossRef
22.
Zurück zum Zitat Ramos-Rodriguez JJ, Pacheco-Herrero M, Thyssen D et al (2013) Rapid β-Amyloid Deposition and Cognitive Impairment After Cholinergic Denervation in APP/PS1 Mice. J Neuropathol Exp Neurol 72:272–285PubMedCrossRef Ramos-Rodriguez JJ, Pacheco-Herrero M, Thyssen D et al (2013) Rapid β-Amyloid Deposition and Cognitive Impairment After Cholinergic Denervation in APP/PS1 Mice. J Neuropathol Exp Neurol 72:272–285PubMedCrossRef
23.
Zurück zum Zitat Hampel H, Mesulam M-M, Cuello AC et al (2018) The cholinergic system in the pathophysiology and treatment of Alzheimer’s disease. Brain 141:1917–1933PubMedPubMedCentralCrossRef Hampel H, Mesulam M-M, Cuello AC et al (2018) The cholinergic system in the pathophysiology and treatment of Alzheimer’s disease. Brain 141:1917–1933PubMedPubMedCentralCrossRef
24.
Zurück zum Zitat Hoskin JL, Al-Hasan Y, Sabbagh MN (2018) Nicotinic Acetylcholine Receptor Agonists for the Treatment of Alzheimer’s Dementia: An Update. Nicotine Tob Res 21:370–376PubMedCentralCrossRef Hoskin JL, Al-Hasan Y, Sabbagh MN (2018) Nicotinic Acetylcholine Receptor Agonists for the Treatment of Alzheimer’s Dementia: An Update. Nicotine Tob Res 21:370–376PubMedCentralCrossRef
25.
Zurück zum Zitat Bott JB, Héraud C, Cosquer B et al (2016) APOE-Sensitive Cholinergic Sprouting Compensates for Hippocampal Dysfunctions Due to Reduced Entorhinal Input. J Neurosci 36:10472–10486PubMedPubMedCentralCrossRef Bott JB, Héraud C, Cosquer B et al (2016) APOE-Sensitive Cholinergic Sprouting Compensates for Hippocampal Dysfunctions Due to Reduced Entorhinal Input. J Neurosci 36:10472–10486PubMedPubMedCentralCrossRef
26.
Zurück zum Zitat Weiner MW, Veitch DP, Aisen PS et al (2012) The Alzheimer’s Disease Neuroimaging Initiative: a review of papers published since its inception. Alzheimer’s Dementia 8:S1–S68PubMedCrossRef Weiner MW, Veitch DP, Aisen PS et al (2012) The Alzheimer’s Disease Neuroimaging Initiative: a review of papers published since its inception. Alzheimer’s Dementia 8:S1–S68PubMedCrossRef
27.
Zurück zum Zitat Crane PK, Carle A, Gibbons LE et al (2012) Development and assessment of a composite score for memory in the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Brain Imaging Behav 6:502–516PubMedPubMedCentralCrossRef Crane PK, Carle A, Gibbons LE et al (2012) Development and assessment of a composite score for memory in the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Brain Imaging Behav 6:502–516PubMedPubMedCentralCrossRef
28.
Zurück zum Zitat Gibbons LE, Carle AC, Mackin RS et al (2012) A composite score for executive functioning, validated in Alzheimer’s Disease Neuroimaging Initiative (ADNI) participants with baseline mild cognitive impairment. Brain Imaging Behav 6:517–527PubMedPubMedCentralCrossRef Gibbons LE, Carle AC, Mackin RS et al (2012) A composite score for executive functioning, validated in Alzheimer’s Disease Neuroimaging Initiative (ADNI) participants with baseline mild cognitive impairment. Brain Imaging Behav 6:517–527PubMedPubMedCentralCrossRef
29.
Zurück zum Zitat Eickhoff SB, Stephan KE, Mohlberg H et al (2005) A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. Neuroimage 25:1325–1335PubMedCrossRef Eickhoff SB, Stephan KE, Mohlberg H et al (2005) A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. Neuroimage 25:1325–1335PubMedCrossRef
31.
Zurück zum Zitat Zaborszky L, Hoemke L, Mohlberg H, Schleicher A, Amunts K, Zilles K (2008) Stereotaxic probabilistic maps of the magnocellular cell groups in human basal forebrain. Neuroimage 42:1127–1141PubMedCrossRef Zaborszky L, Hoemke L, Mohlberg H, Schleicher A, Amunts K, Zilles K (2008) Stereotaxic probabilistic maps of the magnocellular cell groups in human basal forebrain. Neuroimage 42:1127–1141PubMedCrossRef
32.
Zurück zum Zitat Gaser C, Kurth F (2017) Manual computational anatomy toolbox-CAT12. University of Jena, Structural brain mapping Group at the Departments of Psychiatry and Neurology Gaser C, Kurth F (2017) Manual computational anatomy toolbox-CAT12. University of Jena, Structural brain mapping Group at the Departments of Psychiatry and Neurology
33.
34.
Zurück zum Zitat Núñez C, Callén A, Lombardini F, Compta Y, Stephan-Otto C, AsDN I (2020) Different cortical gyrification patterns in Alzheimer’s disease and impact on memory performance. Ann Neurol 88:67–80PubMedCrossRef Núñez C, Callén A, Lombardini F, Compta Y, Stephan-Otto C, AsDN I (2020) Different cortical gyrification patterns in Alzheimer’s disease and impact on memory performance. Ann Neurol 88:67–80PubMedCrossRef
36.
Zurück zum Zitat Smith SM, Nichols TE (2009) Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 44:83–98PubMedCrossRef Smith SM, Nichols TE (2009) Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. Neuroimage 44:83–98PubMedCrossRef
37.
Zurück zum Zitat Cortes C, Vapnik V (1995) Support-vector networks Machine learning 20:273–297 Cortes C, Vapnik V (1995) Support-vector networks Machine learning 20:273–297
38.
Zurück zum Zitat Camps-Valls G, Gómez-Chova L, Calpe-Maravilla J et al (2004) Robust support vector method for hyperspectral data classification and knowledge discovery. IEEE Trans Geosci Remote Sens 42:1530–1542ADSCrossRef Camps-Valls G, Gómez-Chova L, Calpe-Maravilla J et al (2004) Robust support vector method for hyperspectral data classification and knowledge discovery. IEEE Trans Geosci Remote Sens 42:1530–1542ADSCrossRef
39.
Zurück zum Zitat Guo S, Lai C, Wu C et al (2017) Conversion discriminative analysis on mild cognitive impairment using multiple cortical features from MR images. Front Aging Neurosci 9:146PubMedPubMedCentralCrossRef Guo S, Lai C, Wu C et al (2017) Conversion discriminative analysis on mild cognitive impairment using multiple cortical features from MR images. Front Aging Neurosci 9:146PubMedPubMedCentralCrossRef
40.
Zurück zum Zitat Bisong E (2019) Building machine learning and deep learning models on Google cloud platform. SpringerCrossRef Bisong E (2019) Building machine learning and deep learning models on Google cloud platform. SpringerCrossRef
43.
Zurück zum Zitat DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845PubMedCrossRef DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845PubMedCrossRef
44.
Zurück zum Zitat Bachli MB, Sedeño L, Ochab JK et al (2020) Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach. Neuroimage 208:116456PubMedCrossRef Bachli MB, Sedeño L, Ochab JK et al (2020) Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach. Neuroimage 208:116456PubMedCrossRef
45.
Zurück zum Zitat Liu Y, Tan L, Wang H-F et al (2016) Multiple effect of APOE genotype on clinical and neuroimaging biomarkers across Alzheimer’s disease spectrum. Mol Neurobiol 53:4539–4547PubMedCrossRef Liu Y, Tan L, Wang H-F et al (2016) Multiple effect of APOE genotype on clinical and neuroimaging biomarkers across Alzheimer’s disease spectrum. Mol Neurobiol 53:4539–4547PubMedCrossRef
46.
Zurück zum Zitat Jack CR Jr, Knopman DS, Jagust WJ et al (2010) Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade. The Lancet Neurology 9:119–128PubMedPubMedCentralCrossRef Jack CR Jr, Knopman DS, Jagust WJ et al (2010) Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade. The Lancet Neurology 9:119–128PubMedPubMedCentralCrossRef
47.
Zurück zum Zitat Lim YY, Laws SM, Villemagne VL et al (2016) Aβ-related memory decline in APOE ε4 noncarriers: Implications for Alzheimer disease. Neurology 86:1635–1642PubMedCrossRef Lim YY, Laws SM, Villemagne VL et al (2016) Aβ-related memory decline in APOE ε4 noncarriers: Implications for Alzheimer disease. Neurology 86:1635–1642PubMedCrossRef
48.
49.
Zurück zum Zitat Schmitz TW, Soreq H, Poirier J, Spreng RN (2020) Longitudinal basal forebrain degeneration interacts with trem2/c3 biomarkers of inflammation in presymptomatic Alzheimer’s disease. J Neurosci 40:1931–1942PubMedPubMedCentralCrossRef Schmitz TW, Soreq H, Poirier J, Spreng RN (2020) Longitudinal basal forebrain degeneration interacts with trem2/c3 biomarkers of inflammation in presymptomatic Alzheimer’s disease. J Neurosci 40:1931–1942PubMedPubMedCentralCrossRef
50.
Zurück zum Zitat La Joie R, Bejanin A, Fagan AM et al (2018) Associations between [18F] AV1451 tau PET and CSF measures of tau pathology in a clinical sample. Neurology 90:e282–e290PubMedPubMedCentral La Joie R, Bejanin A, Fagan AM et al (2018) Associations between [18F] AV1451 tau PET and CSF measures of tau pathology in a clinical sample. Neurology 90:e282–e290PubMedPubMedCentral
51.
Zurück zum Zitat Suzuki K, Hirakawa A, Ihara R et al (2020) Effect of apolipoprotein E ε4 allele on the progression of cognitive decline in the early stage of Alzheimer’s disease. Alzheimer’s Dementia: Translat Res Clin Interventions 6:e12007CrossRef Suzuki K, Hirakawa A, Ihara R et al (2020) Effect of apolipoprotein E ε4 allele on the progression of cognitive decline in the early stage of Alzheimer’s disease. Alzheimer’s Dementia: Translat Res Clin Interventions 6:e12007CrossRef
52.
Zurück zum Zitat O’Donoghue MC, Murphy SE, Zamboni G, Nobre AC, Mackay CE (2018) APOE genotype and cognition in healthy individuals at risk of Alzheimer’s disease: A review. Cortex 104:103–123PubMedCrossRef O’Donoghue MC, Murphy SE, Zamboni G, Nobre AC, Mackay CE (2018) APOE genotype and cognition in healthy individuals at risk of Alzheimer’s disease: A review. Cortex 104:103–123PubMedCrossRef
Metadaten
Titel
Atrophy of the cholinergic regions advances from early to late mild cognitive impairment
verfasst von
Ying-Liang Larry Lai
Fei-Ting Hsu
Shu-Yi Yeh
Yu-Tzu Kuo
Hui-Hsien Lin
Yi-Chun Lin
Li-Wei Kuo
Cheng-Yu Chen
Hua-Shan Liu
for the Alzheimer’s Disease Neuroimaging Initiative
Publikationsdatum
19.01.2024
Verlag
Springer Berlin Heidelberg
Erschienen in
Neuroradiology / Ausgabe 4/2024
Print ISSN: 0028-3940
Elektronische ISSN: 1432-1920
DOI
https://doi.org/10.1007/s00234-024-03290-6

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