Literature DB >> 29194503

Distinct influence of specific versus global connectivity on the different Alzheimer's disease biomarkers.

Justine Mutlu1,2, Brigitte Landeau1,2, Malo Gaubert2, Vincent de La Sayette2,3, Béatrice Desgranges2, Gaël Chételat1,2.   

Abstract

See Franzmeier and Dyrba (doi:10.1093/brain/awx304) for a scientific commentary on this article. Recent findings suggest that the topography and propagation of lesions in Alzheimer’s disease are related to functional connectivity, either showing that regions of high global connectivity are more vulnerable or that lesions propagate neuron-to-neuron from a starting area called the epicentre, thus involving specific connectivity. However, the relative influence of specific and global connectivity and their differential impact on the three main neuroimaging biomarkers of the disease (atrophy, hypometabolism and amyloid-β deposition) have never been investigated to date. Forty-two healthy elderly subjects and 35 amyloid-β positive amnestic mild cognitive impairment and Alzheimer’s disease patients underwent resting-state functional MRI, anatomical T1-weighted MRI, 18F-fluorodeoxyglucose-PET and florbetapir-PET scans. All patients also underwent follow-up T1-weighted MRI, 18F-fluorodeoxyglucose-PET and florbetapir-PET scans 18 months later to assess the lesion propagation. The epicentre was defined per modality as the most altered region at baseline in patients compared to controls. Maps of global and specific functional connectivity were computed from the resting-state functional MRI data of the healthy elderly subjects. Global connectivity corresponds to the connectivity strength of each grey matter area with the rest of the brain (i.e. all other grey matter areas) while specific connectivity refers to the connectivity of a single specific brain region (the epicentre) with the rest of the brain (i.e. all other brain regions). Maps of baseline alterations and propagation were computed for grey matter atrophy, hypometabolism and amyloid-β deposition in patients. Regression analyses were performed across the 239 brain regions to assess the links between global or specific functional connectivity in healthy elderly subjects and Alzheimer’s disease-related baseline disruptions or alteration propagation. Atrophy at baseline was predicted by specific connectivity and inversely correlated with global connectivity, while hypometabolism and amyloid-β deposition were positively influenced by both global and specific connectivity. Regarding longitudinal changes, atrophy spread in regions with high specific connectivity while hypometabolism propagated in areas showing high global connectivity. This is the first study to show that global connectivity has an opposite relationship with atrophy versus hypometabolism and amyloid-β deposition, suggesting that the high level of functional connectivity found in hubs exerts a differential influence on these Alzheimer’s disease lesions. These results sustain the hypotheses of higher vulnerability of hubs to hypometabolism and amyloid-β deposition versus transneuronal propagation of atrophy from the epicentre to connected regions, in Alzheimer’s disease. Global and specific connectivity exert a differential influence on, and provide complementary information to predict, the topography of Alzheimer’s disease lesions and their propagation.

Entities:  

Keywords:  amyloid imaging; brain atrophy; glucose metabolism; longitudinal; resting-state connectivity

Mesh:

Substances:

Year:  2017        PMID: 29194503     DOI: 10.1093/brain/awx279

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  21 in total

1.  Functional connectivity associated with tau levels in ageing, Alzheimer's, and small vessel disease.

Authors:  Nicolai Franzmeier; Anna Rubinski; Julia Neitzel; Yeshin Kim; Alexander Damm; Duk L Na; Hee Jin Kim; Chul Hyoung Lyoo; Hana Cho; Sofia Finsterwalder; Marco Duering; Sang Won Seo; Michael Ewers
Journal:  Brain       Date:  2019-04-01       Impact factor: 13.501

2.  Comparison of Amyloid β and Tau Spread Models in Alzheimer's Disease.

Authors:  Hang-Rai Kim; Peter Lee; Sang Won Seo; Jee Hoon Roh; Minyoung Oh; Jungsu S Oh; Seung Jun Oh; Jae Seung Kim; Yong Jeong
Journal:  Cereb Cortex       Date:  2019-09-13       Impact factor: 5.357

3.  Medial Temporal Lobe Networks in Alzheimer's Disease: Structural and Molecular Vulnerabilities.

Authors:  Robin de Flores; Sandhitsu R Das; Long Xie; Laura E M Wisse; Xueying Lyu; Preya Shah; Paul A Yushkevich; David A Wolk
Journal:  J Neurosci       Date:  2022-01-27       Impact factor: 6.709

4.  Disrupted interactions among the hippocampal, dorsal attention, and central-executive networks in amnestic mild cognitive impairment.

Authors:  Ganesh B Chand; Ihab Hajjar; Deqiang Qiu
Journal:  Hum Brain Mapp       Date:  2018-09-11       Impact factor: 5.038

Review 5.  Multimodal Neuroimaging in Alzheimer's Disease: Early Diagnosis, Physiopathological Mechanisms, and Impact of Lifestyle.

Authors:  Gaël Chételat
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

6.  Patient-Tailored, Connectivity-Based Forecasts of Spreading Brain Atrophy.

Authors:  Jesse A Brown; Jersey Deng; John Neuhaus; Isabel J Sible; Ana C Sias; Suzee E Lee; John Kornak; Gabe A Marx; Anna M Karydas; Salvatore Spina; Lea T Grinberg; Giovanni Coppola; Dan H Geschwind; Joel H Kramer; Maria Luisa Gorno-Tempini; Bruce L Miller; Howard J Rosen; William W Seeley
Journal:  Neuron       Date:  2019-10-14       Impact factor: 17.173

7.  Tau and Amyloid Relationships with Resting-state Functional Connectivity in Atypical Alzheimer's Disease.

Authors:  Irene Sintini; Jonathan Graff-Radford; David T Jones; Hugo Botha; Peter R Martin; Mary M Machulda; Christopher G Schwarz; Matthew L Senjem; Jeffrey L Gunter; Clifford R Jack; Val J Lowe; Keith A Josephs; Jennifer L Whitwell
Journal:  Cereb Cortex       Date:  2021-02-05       Impact factor: 5.357

8.  Machine learning based on the multimodal connectome can predict the preclinical stage of Alzheimer's disease: a preliminary study.

Authors:  Haifeng Chen; Weikai Li; Xiaoning Sheng; Qing Ye; Hui Zhao; Yun Xu; Feng Bai
Journal:  Eur Radiol       Date:  2021-06-10       Impact factor: 5.315

9.  Longitudinal Changes in Hippocampal Network Connectivity in Alzheimer's Disease.

Authors:  Sophie Dautricourt; Robin de Flores; Brigitte Landeau; Géraldine Poisnel; Matthieu Vanhoutte; Nicolas Delcroix; Francis Eustache; Denis Vivien; Vincent de la Sayette; Gaël Chételat
Journal:  Ann Neurol       Date:  2021-08-06       Impact factor: 11.274

10.  Molecular properties underlying regional vulnerability to Alzheimer's disease pathology.

Authors:  Michel J Grothe; Jorge Sepulcre; Gabriel Gonzalez-Escamilla; Irina Jelistratova; Michael Schöll; Oskar Hansson; Stefan J Teipel
Journal:  Brain       Date:  2018-09-01       Impact factor: 13.501

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