Article (Scientific journals)
Anosognosia and default mode subnetwork dysfunction in Alzheimer's disease
Antoine, Nicolas; Bahri, Mohamed Ali; Bastin, Christine et al.
2019In Human Brain Mapping, 40, p. 5330-5340
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Keywords :
Alzheimer's disease
Abstract :
[en] Research on the neural correlates of anosognosia in Alzheimer's disease varied according to methods and objectives: they compared different measures, used diverse neuroimaging modalities, explored connectivity between brain networks, addressed the role of specific brain regions or tried to give support to theoretical models of unawareness. We used resting-state fMRI connectivity with two different seed regions and two measures of anosognosia in different patient samples to investigate consistent modifications of default mode subnetworks and we aligned the results with the Cognitive Awareness Model. In a first study, patients and their relatives were presented with the Memory Awareness Rating Scale. Anosognosia was measured as a patient-relative discrepancy score and connectivity was investigated with a parahippocampal seed. In a second study, anosognosia was measured in patients with brain amyloid (taken as a disease biomarker) by comparing self-reported rating with memory performance, and connectivity was examined with a hippocampal seed. In both studies, anosognosia was consistently related to disconnection within the medial temporal subsystem of the default mode network, subserving episodic memory processes. Importantly, scores were also related to disconnection between the medial temporal and both the core subsystem (participating to self-reflection) and the dorsomedial subsystem of the default mode network (the middle temporal gyrus that might subserve a personal database in the second study). We suggest that disparity in connectivity within and between subsystems of the default mode network may reflect impaired functioning of pathways in cognitive models of awareness. © 2019 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.
Research center :
GIGA CRC (Cyclotron Research Center) In vivo Imaging-Aging & Memory - ULiège
Disciplines :
Neurology
Author, co-author :
Antoine, Nicolas ;  Université de Liège - ULiège > Doct. sc. médicales (Bologne)
Bahri, Mohamed Ali  ;  Université de Liège - ULiège > CRC In vivo Imaging-Aging & Memory
Bastin, Christine  ;  Université de Liège - ULiège > CRC In vivo Imaging-Aging & Memory
Collette, Fabienne  ;  Université de Liège - ULiège > Département de Psychologie > Neuropsychologie
Phillips, Christophe  ;  Université de Liège - ULiège > CRC In vivo Im.-Neuroimaging, data acquisition & processing
Balteau, Evelyne ;  Université de Liège - ULiège > CRC In vivo Im.-Neuroimaging, data acquisition & processing
Genon, Sarah ;  Université de Liège - ULiège > CRC In vivo Imaging-Aging & Memory
Salmon, Eric  ;  Université de Liège - ULiège > Département des sciences cliniques > Neuroimagerie des troubles de la mémoire et revalid. cogn.
Language :
English
Title :
Anosognosia and default mode subnetwork dysfunction in Alzheimer's disease
Publication date :
2019
Journal title :
Human Brain Mapping
ISSN :
1065-9471
eISSN :
1097-0193
Publisher :
John Wiley and Sons Inc.
Volume :
40
Pages :
5330-5340
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
DFG: GE 2835/1‐1; DFG12/17‐01
Funders :
DFG - Deutsche Forschungsgemeinschaft [DE]
FRB - Fondation Roi Baudouin [BE]
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