Evidence map›Paper›PMID 31444942›Full record

ArticleHuman brain mapping2019

Anosognosia and default mode subnetwork dysfunction in Alzheimer's disease.

Nicolas Antoine, Mohamed A Bahri, Christine Bastin, Fabienne Collette, Christophe Phillips, Evelyne Balteau, Sarah Genon, Eric Salmon

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Nicolas AntoineMemory Clinic, Department of Neurology, CHU of Liège, Liège, Belgium.
Mohamed A BahriGIGA-Cyclotron Research Centre-IVI, University of Liège, Liège, Belgium.
Christine BastinGIGA-Cyclotron Research Centre-IVI, University of Liège, Liège, Belgium.
Fabienne ColletteGIGA-Cyclotron Research Centre-IVI, University of Liège, Liège, Belgium.
Christophe PhillipsGIGA-Cyclotron Research Centre-IVI, University of Liège, Liège, Belgium.
Evelyne BalteauGIGA-Cyclotron Research Centre-IVI, University of Liège, Liège, Belgium.
Sarah GenonGIGA-Cyclotron Research Centre-IVI, University of Liège, Liège, Belgium.
Eric SalmonMemory Clinic, Department of Neurology, CHU of Liège, Liège, Belgium.ORCID 0000-0003-2520-9241
University of Liège · BE

Funding

Fondation Roi Baudouin - Belgique Fonds Maria Elisa et Guillaume de BeysFonds De La Recherche Scientifique - FNRSGE Healthcare Investigator Sponsored Study (ISS290)InterUniversity Attraction Pole, BELSPO IUAP 7/11University of Liege Concerted Action 12/17-01
6 · The paper itself

Abstract

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.

Indexed as

AwarenessAgedAged, 80 and overAgnosiaAlzheimer DiseaseBrainFemaleHumansMagnetic Resonance ImagingMaleNerve NetNeuropsychological TestsAlzheimer's diseaseanosognosiaconnectivitydefault mode networkmemoryself

Identifiers

PMID31444942
PMCPMC6864891
OpenAlexW2969885011

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.