Resting-state networks and anosognosia in Alzheimer's disease

被引:2
|
作者
Tondelli, Manuela [1 ,2 ,3 ]
Ballotta, Daniela [1 ]
Maramotti, Riccardo [1 ,4 ,5 ]
Carbone, Chiara [1 ]
Gallingani, Chiara [1 ,2 ]
MacKay, Clare [6 ]
Pagnoni, Giuseppe [1 ]
Chiari, Annalisa [2 ]
Zamboni, Giovanna [1 ,2 ,3 ]
机构
[1] Univ Modena & Reggio Emilia, Dept Biomed Metab & Neural Sci, Modena, Italy
[2] Azienda Ospedaliero Univ Modena, Neurol, Modena, Italy
[3] Univ Oxford, Oxford Project Investigate Memory & Ageing OPTIMA, Expt Med Div, Nuffield Dept Clin Med, Oxford OX3 9DU, England
[4] Univ Modena & Reggio Emilia, Dept Phys Informat & Math, Modena, Italy
[5] Univ Ferrara, Dept Math & Comp Sci, Ferrara, Italy
[6] Univ Oxford, Wellcome Ctr Integrat Neuroimaging, Dept Psychiat, Oxford, England
来源
FRONTIERS IN AGING NEUROSCIENCE | 2024年 / 16卷
基金
欧洲研究理事会;
关键词
anosognosia; unawareness; Alzheimer; dementia; mild cognitive impairment; salience; default-mode; resting state networks; MILD COGNITIVE IMPAIRMENT; ASSOCIATION WORKGROUPS; DIAGNOSTIC GUIDELINES; NATIONAL INSTITUTE; SELF-AWARENESS; DEFAULT; MEMORY; BRAIN; DEFICITS; INSIGHT;
D O I
10.3389/fnagi.2024.1415994
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background Recent evidence suggests that anosognosia or unawareness of cognitive impairment in Alzheimer's Disease (AD) may be explained by a disconnection between brain regions involved in accessing and monitoring information regarding self and others. It has been demonstrated that AD patients with anosognosia have reduced connectivity within the default mode network (DMN) and that anosognosia in people with prodromal AD is positively associated with bilateral anterior cingulate cortex (ACC), suggesting a possible role of this region in mechanisms of awareness in the early phase of disease. We hypothesized that anosognosia in AD is associated with an imbalance between the activity of large-scale resting-state functional magnetic resonance imaging (fMRI) networks, in particular the DMN, the salience network (SN), and the frontoparietal network (FPN).Methods Sixty patients with MCI and AD dementia underwent fMRI and neuropsychological assessment including the Anosognosia Questionnaire Dementia (AQ-D), a measure of anosognosia based on a discrepancy score between patient's and carer's judgments. After having applied Independent Component Analysis (ICA) to resting fMRI data we performed: (i) correlations between the AQ-D score and functional connectivity in the DMN, SN, and FPN, and (ii) comparisons between aware and unaware patients of the DMN, SN, and FPN functional connectivity.Results We found that anosognosia was associated with (i) weak functional connectivity within the DMN, in posterior and middle cingulate cortex particularly, (ii) strong functional connectivity within the SN in ACC, and between the SN and basal ganglia, and (iii) a heterogenous effect concerning the functional connectivity of the FPN, with a weak connectivity between the FPN and PCC, and a strong connectivity between the FPN and ACC. The observed effects were controlled for differences in severity of cognitive impairment and age.Conclusion Anosognosia in the AD continuum is associated with a dysregulation of the functional connectivity of three large-scale networks, namely the DMN, SN, and FPN.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Resting-State Connectivity of Auditory and Reward Systems in Alzheimer's Disease and Mild Cognitive Impairment
    Wang, Diana
    Belden, Alexander
    Hanser, Suzanne B.
    Geddes, Maiya R.
    Loui, Psyche
    FRONTIERS IN HUMAN NEUROSCIENCE, 2020, 14
  • [32] Anosognosia in very mild Alzheimer's disease but not in mild cognitive impairment
    Kalbe, E
    Salmon, E
    Perani, D
    Holthoff, V
    Sorbi, S
    Elsner, A
    Weisenbach, S
    Brand, M
    Lenz, O
    Kessler, J
    Luedecke, S
    Ortelli, P
    Herholz, K
    DEMENTIA AND GERIATRIC COGNITIVE DISORDERS, 2005, 19 (5-6) : 349 - 356
  • [33] Alterations of Directional Connectivity among Resting-State Networks in Alzheimer Disease
    Li, R.
    Wu, X.
    Chen, K.
    Fleisher, A. S.
    Reiman, E. M.
    Yao, L.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2013, 34 (02) : 340 - 345
  • [34] Alterations of resting-state Gamma frequency characteristics in aging and Alzheimer's disease
    Guntekin, Bahar
    Erdal, Furkan
    Bolukbas, Burcu
    Hanoglu, Lutfu
    Yener, Gorsev
    Duygun, Rumeysa
    COGNITIVE NEURODYNAMICS, 2023, 17 (04) : 829 - 844
  • [35] Anosognosia for memory in dementia with Lewy bodies compared with Alzheimer's disease
    Calil, Victor
    Silveira de Souza, Andrea
    Sudo, Felipe Kenji
    Santiago-Bravo, Gustavo
    Assuncao, Naima
    Drummond, Claudia
    Rodrigues, Fernanda
    Soares, Rejane
    Oliveira, Natalia
    Teldeschi, Alina
    Bernardes, Gabriel
    Lima, Gabriel
    Lima, Camila
    Lima, Marco Antonio
    Mattos, Paulo
    INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, 2021, 36 (07) : 1059 - 1064
  • [36] Evaluation of anosognosia in Alzheimer's disease
    Turro-Garriga, Oriol
    Lopez-Pousa, Secundino
    Vilalta-Franch, Joan
    Garre-Olmo, Josep
    REVISTA DE NEUROLOGIA, 2012, 54 (04) : 193 - 198
  • [37] Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning
    Ju, Ronghui
    Hu, Chenhui
    Zhou, Pan
    Li, Quanzheng
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2019, 16 (01) : 244 - 257
  • [38] Neural Correlates of Anosognosia in Alzheimer's Disease and Mild Cognitive Impairment: A Multi-Method Assessment
    Tondelli, Manuela
    Barbarulo, Anna M.
    Vinceti, Giulia
    Vincenzi, Chiara
    Chiari, Annalisa
    Nichelli, Paolo F.
    Zamboni, Giovanna
    FRONTIERS IN BEHAVIORAL NEUROSCIENCE, 2018, 12
  • [39] Anosognosia and Alzheimer's disease
    Pia, Lorenzo
    Conway, Paul M.
    BRAIN IMPAIRMENT, 2008, 9 (01) : 22 - 27
  • [40] Hyperconnectivity matters in early-onset Alzheimer's disease: a resting-state EEG connectivity study
    Fide, Ezgi
    Hunerli-Gunduz, Duygu
    Oztura, Ibrahim
    Yener, Gorsev G.
    NEUROPHYSIOLOGIE CLINIQUE-CLINICAL NEUROPHYSIOLOGY, 2022, 52 (06): : 459 - 471