Cortical amyloid accumulation is associated with alterations of structural integrity in older people with subjective memory complaints

Teipel, Stefan J.; Weschke, Sarah; Grothe, Michel J.; Fontaine, G.; Dauphinot, Luce; González‐Escamilla, Gabriel; Potier, Marie‐Claude; Habert, Marie‐Odile; Hampel, Harald; Audrain, C.; Bertin, Hugo; Boukadida, Laurie; Cacciamani, Federica; Cavedo, Enrica; Patrizia, Chiesa A.; Durrleman, Stanley; Epelbaum, Stéphane; Geoffroy, Gagliardi; Genthon, Rémy; Pailine, Glasman; Kas, Aurélie; Lévy, Marcel; Lista, Simone; Metzinger, Christiane; Nyasse, Francis; Poisson, Catherine; Ratovohery, Stéphie; Revillon, Marie; Rojkova, Katrine; Roy, Perrine; Katia, Santos Andrade; Antonio, Santos; Simon, V.; Solé, Marine; Tandetnik, Caroline; Dubois, Bruno; Harald, Hampel; Bakardjian, Hovagim; Benali, Habib; Colliot, Olivier; Marie-Odile, Habert; Lamari, Foudil; Mochel, Fanny; Marie-Claude, Potier; Michel, Thiebaud de Schotten

doi:10.1016/j.neurobiolaging.2017.05.016

Cited by 19 publications

(16 citation statements)

References 66 publications

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“…A between-group analysis performed by Chetelat et al indicated that, in participants with SCD, individuals with a higher level of amyloid deposition showed significant gray matter atrophy compared with individuals with a low level of amyloid deposition [ 180 ]. Further correlation analyses between imaging modalities also supported the relationship between amyloid pathology and reduced integrity of brain structures in both the gray matter and WM ranging from voxel level to brain connectome properties in subjects with SCD [ 101 , 181 , 182 ]. Ferreira et al tested a disease severity index generated from a multivariate analysis involving amyloid PET and structural MRI data, and this index may potentially identify individuals with SCD with the AD-like pattern, as an appropriate risk population [ 183 ].…”

Section: Multimodal Neuroimaging Studiesmentioning

confidence: 84%

“…DC in bilateral hippocampus and left fusiform relate to total tau and phosphorylated tau, but not to amyloid deposition Scheef et al (2012) [ 59 ] Memory clinic consultation 2 binary questions FDG-PET MRI Cross-sectional Controls: n = 56 (66.4±7.2) SMI: n = 31 (67.6±6.2) Hypometabolism in right precuneus and hypermetabolism in right medial temporal and reduced gray matter volume in hippocampus in SMI group. Longitudinal memory decline relates to reduced glucose metabolism in right precuneus in SMI Shokouhi et al (2019) [ 191 ] E-Cog 18 F-flortaucipir PET 18 F-florbetapir PET Cross-sectional All: n = 86 (78±8) Tau pathology predict everyday planning in SCD, and amyloid pathology relate to everyday organization and memory in SCD Teipel et al (2018) [ 178 ] 2 binary questions 18 F-florbetapir PET MRI EEG Cross-sectional Amyloid negative: n = 63 (75.9±3.5) Amyloid positive: n = 255 (76.7±3.5) No significant relationship between amyloid load and phase-lag index in any frequency band Teipel et al (2017) [ 182 ] 2 binary questions 18 F-florbetapir PET MRI Cross-sectional All: n = 318 (76.1±3.5) Association between amyloid uptake and reduced gray matter structural integrity and poorer objective cognitive performance Ten Kate et al (2018) [ 101 ] 2 binary questions 18 F-florbetapir PET MRI Cross-sectional All: n=318(76 74±78) Amyloid-: n = 230 (76 73±78) Amyloid+: n = 88 (77 75±79) Association between higher global SUVR and lower clustering, and small world values in orbito-and dorsolateral frontal and parietooccipital regions. Wirth et al (2018) [ 184 ] Memory clinic consultation 18 F-florbetapir PET MRI FDG-PET Cross-sectional HC: n=41 (66.1 ±7.7) ApoE ɛ4+: n = 17 (63.9±8.6) SCD: n=16 (68.9±7.3) MCI: n=30 (73.4±7.2) AD: n=22 (68.7±9.4) (1) in medial-temporal regions, local gray matter volume reduction exceeded hypometabolism, (2) in tempor...…”

Section: Multimodal Neuroimaging Studiesmentioning

confidence: 99%

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Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease

Wang

Huang

et al. 2020

Mol Neurodegeneration

125

135

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Subjective cognitive decline (SCD) is regarded as the first clinical manifestation in the Alzheimer’s disease (AD) continuum. Investigating populations with SCD is important for understanding the early pathological mechanisms of AD and identifying SCD-related biomarkers, which are critical for the early detection of AD. With the advent of advanced neuroimaging techniques, such as positron emission tomography (PET) and magnetic resonance imaging (MRI), accumulating evidence has revealed structural and functional brain alterations related to the symptoms of SCD. In this review, we summarize the main imaging features and key findings regarding SCD related to AD, from local and regional data to connectivity-based imaging measures, with the aim of delineating a multimodal imaging signature of SCD due to AD. Additionally, the interaction of SCD with other risk factors for dementia due to AD, such as age and the Apolipoprotein E (ApoE) ɛ4 status, has also been described. Finally, the possible explanations for the inconsistent and heterogeneous neuroimaging findings observed in individuals with SCD are discussed, along with future directions. Overall, the literature reveals a preferential vulnerability of AD signature regions in SCD in the context of AD, supporting the notion that individuals with SCD share a similar pattern of brain alterations with patients with mild cognitive impairment (MCI) and dementia due to AD. We conclude that these neuroimaging techniques, particularly multimodal neuroimaging techniques, have great potential for identifying the underlying pathological alterations associated with SCD. More longitudinal studies with larger sample sizes combined with more advanced imaging modeling approaches such as artificial intelligence are still warranted to establish their clinical utility.

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Section: Multimodal Neuroimaging Studiesmentioning

confidence: 84%

Section: Multimodal Neuroimaging Studiesmentioning

confidence: 99%

Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease

Wang

Huang

et al. 2020

Mol Neurodegeneration

125

135

View full text Add to dashboard Cite

show abstract

“…Our study data were obtained from the INSIGHT-preAD research program (18). The same cohort has been used in previously published studies (18,(20)(21)(22)(23), but none of them evaluated the functional connectivity at rest of these individuals. The INSIGHT-preAD study is an ongoing single-center observational cohort study being performed at the Institute of Memory and Alzheimer's Disease, Pitié-Salpêtrière University Hospital, Paris, France (date range, 2013-present; B.D.…”

Section: Methodsmentioning

confidence: 99%

Relationship between Basal Forebrain Resting-State Functional Connectivity and Brain Amyloid-β Deposition in Cognitively Intact Older Adults with Subjective Memory Complaints

Chiesa¹,

Cavedo²,

Grothe³

et al. 2019

Radiology

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“…Exclusion criteria were having a neurological or psychiatric disorder that could interfere with cognition (e.g., epilepsy, brain tumor, stroke), or contra-indication for MRI or amyloid PET scan. APOE genotype was determined as previously described (Teipel et al, 2017 ). Subjects were classified as APOE ε4 carriers if they had one or two APOE ε4 alleles and non-carrier otherwise.…”

Section: Methodsmentioning

confidence: 99%

Gray Matter Network Disruptions and Regional Amyloid Beta in Cognitively Normal Adults

Kate

Visser

Bakardjian

et al. 2018

Front. Aging Neurosci.

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The accumulation of amyloid plaques is one of the earliest pathological changes in Alzheimer’s disease (AD) and may occur 20 years before the onset of symptoms. Examining associations between amyloid pathology and other early brain changes is critical for understanding the pathophysiological underpinnings of AD. Alterations in gray matter networks might already start at early preclinical stages of AD. In this study, we examined the regional relationship between amyloid aggregation measured with positron emission tomography (PET) and gray matter network measures in elderly subjects with subjective memory complaints. Single-subject gray matter networks were extracted from T1-weigthed structural MRI in cognitively normal subjects (n = 318, mean age 76.1 ± 3.5, 64% female, 28% amyloid positive). Degree, clustering, path length and small world properties were computed. Global and regional amyloid load was determined using [18F]-Florbetapir PET. Associations between standardized uptake value ratio (SUVr) values and network measures were examined using linear regression models. We found that higher global SUVr was associated with lower clustering (β = −0.12, p < 0.05), and small world values (β = −0.16, p < 0.01). Associations were most prominent in orbito- and dorsolateral frontal and parieto-occipital regions. Local SUVr values showed less anatomical variability and did not convey additional information beyond global amyloid burden. In conclusion, we found that in cognitively normal elderly subjects, increased global amyloid pathology is associated with alterations in gray matter networks that are indicative of incipient network breakdown towards AD dementia.

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Cortical amyloid accumulation is associated with alterations of structural integrity in older people with subjective memory complaints

Cited by 19 publications

References 66 publications

Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease

Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer’s disease

Relationship between Basal Forebrain Resting-State Functional Connectivity and Brain Amyloid-β Deposition in Cognitively Intact Older Adults with Subjective Memory Complaints

Gray Matter Network Disruptions and Regional Amyloid Beta in Cognitively Normal Adults

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