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Ariaei A, Ghorbani A, Habibzadeh E, Moghaddam N, Chegeni Nezhad N, Abdoli A, Mazinanian S, Sadeghi M, Mayeli M. Investigating the association between the GAP-43 concentration with diffusion tensor imaging indices in Alzheimer's dementia continuum. BMC Neurol 2024; 24:397. [PMID: 39420261 PMCID: PMC11484424 DOI: 10.1186/s12883-024-03904-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Accepted: 10/04/2024] [Indexed: 10/19/2024] Open
Abstract
BACKGROUND Synaptic degeneration, axonal injury, and white matter disintegration are among the pathological events in Alzheimer's disease (AD), for which growth-associated protein 43 (GAP-43) and diffusion tensor imaging (DTI) could be an indicator. In this study, the cerebrospinal fluid (CSF) GAP-43 clinical trajectories and their association with progression and AD hallmarks with white matter microstructural changes were evaluated. METHODS A total number of 133 participants were enrolled in GAP-43 and DTI values were compared between groups, both cross-sectionally and longitudinally with two and four-year follow-ups. Subsequently, the correlation between GAP-43 levels in the CSF and DTI values was investigated using Spearman's correlation. RESULTS The CSF level of GAP-43 is negatively correlated with the mean diffusivity measures in Fornix (Cres)/Stria terminals in early and late MCI (rs=-0.478 p = 0.021 and rs=-0.425 p = 0.038). Additionally, the CSF level of GAP-43 is negatively correlated with fractional anisotropy in the cingulum in late MCI (rs=-0.437 p = 0.033). Moreover, the axial diffusivity in superior corona radiate (rs=-0.562 p = 0.005 and rs=-0.484 p = 0.036) and radial diffusivity in superior fronto-occipital fasciculus was negatively correlated with GAP-43 level in the early and mid-MCI participants (rs=-0.520 p = 0.011 and rs=-0.498 p = 0.030). CONCLUSIONS Presynaptic marker GAP-43 in combination with DTI can be used as a novel biomarker to identify microstructural synaptic degeneration in the early MCI. In addition, it can be used as a biomarker for tracking the progression of AD and monitoring treatment efficacy.
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Affiliation(s)
- Armin Ariaei
- School of Medicine, Iran University of Medical Science, Hemmat Highway, Next to Milad Tower, Tehran, 1449614535, Iran.
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.
| | - Atousa Ghorbani
- Department of Biology, Islamic Azad University East Tehran Branch, Tehran, Iran
| | - Elham Habibzadeh
- School of Medicine, Tabriz University of Medical Science, Tabriz, Iran
| | - Nazanin Moghaddam
- Department of Clinical Biochemistry, Islamic Azad University Shahrood Branch, Shahrood, Iran
| | - Negar Chegeni Nezhad
- Department of Advanced Sciences and Technology, Islamic Azad University Tehran Medical Sciences, Tehran, Iran
| | - Amirabbas Abdoli
- Department of Nuclear Medicine and Radiobiology, Faculty of Medicine and Health Sciences, Centre Hospitalier Universitaire de Sherbrooke (CHUS), Université de Sherbrooke, Sherbrooke, Canada
| | - Samira Mazinanian
- Department of Psychology, Islamic Azad University Semnan Branch, Semnan, Iran
| | - Mohammad Sadeghi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa Mayeli
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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Arndt H, Bachurski M, Yuanxiang P, Franke K, Wessjohann LA, Kreutz MR, Grochowska KM. A Screen of Plant-Based Natural Products Revealed That Quercetin Prevents Pyroglutamylated Amyloid-β (Aβ3(pE)-42) Uptake in Astrocytes As Well As Resulting Astrogliosis and Synaptic Dysfunction. Mol Neurobiol 2024:10.1007/s12035-024-04509-6. [PMID: 39317890 DOI: 10.1007/s12035-024-04509-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Accepted: 09/16/2024] [Indexed: 09/26/2024]
Abstract
Two connected histopathological hallmarks of Alzheimer's disease (AD) are chronic neuroinflammation and synaptic dysfunction. The accumulation of the most prevalent posttranslationally modified form of Aβ1-42, pyroglutamylated amyloid-β (Aβ3(pE)-42) in astrocytes is directly linked to glial activation and the release of proinflammatory cytokines that in turn contribute to early synaptic dysfunction in AD. At present, the mechanisms of Aβ3(pE)-42 uptake to astrocytes are unknown and pharmacological interventions that interfere with this process are not available. Here we developed a simple screening assay to identify substances from a plant extract library that prevent astroglial Aβ3(pE)-42 uptake. We first show that this approach yields valid and reproducible results. Second, we show endocytosis of Aβ3(pE)-42 oligomers by astrocytes and that quercetin, a plant flavonol, is effective to specifically block astrocytic buildup of oligomeric Aβ3(pE)-42. Importantly, quercetin does not induce a general impairment of endocytosis. However, it efficiently protects against early synaptic dysfunction following exogenous Aβ3(pE)-42 application.
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Affiliation(s)
- Helene Arndt
- Research Group Neuroplasticity, Leibniz Institute for Neurobiology, 39118, Magdeburg, Germany
| | - Mark Bachurski
- Research Group Neuroplasticity, Leibniz Institute for Neurobiology, 39118, Magdeburg, Germany
| | - PingAn Yuanxiang
- Research Group Neuroplasticity, Leibniz Institute for Neurobiology, 39118, Magdeburg, Germany
| | - Katrin Franke
- Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, 06108, Halle, Germany
- Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, 06108, Halle, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103, Leipzig, Germany
| | - Ludger A Wessjohann
- Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, 06108, Halle, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103, Leipzig, Germany
- Institut Für Chemie, Chair of Natural Products Chemistry, Martin-Luther-University Halle-Wittenberg, 06120, Halle (Saale), Germany
| | - Michael R Kreutz
- Research Group Neuroplasticity, Leibniz Institute for Neurobiology, 39118, Magdeburg, Germany.
- Leibniz Group 'Dendritic Organelles and Synaptic Function', Center for Molecular Neurobiology, ZMNH, University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany.
- German Center for Neurodegenerative Diseases (DZNE), 39120, Magdeburg, Germany.
- Center for Behavioral Brain Sciences, Otto Von Guericke University, 39120, Magdeburg, Germany.
| | - Katarzyna M Grochowska
- Research Group Neuroplasticity, Leibniz Institute for Neurobiology, 39118, Magdeburg, Germany.
- Leibniz Group 'Dendritic Organelles and Synaptic Function', Center for Molecular Neurobiology, ZMNH, University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany.
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Tondelli M, Ballotta D, Maramotti R, Carbone C, Gallingani C, MacKay C, Pagnoni G, Chiari A, Zamboni G. Resting-state networks and anosognosia in Alzheimer's disease. Front Aging Neurosci 2024; 16:1415994. [PMID: 38903902 PMCID: PMC11188402 DOI: 10.3389/fnagi.2024.1415994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Accepted: 05/22/2024] [Indexed: 06/22/2024] Open
Abstract
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.
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Affiliation(s)
- Manuela Tondelli
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Neurologia, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
- Oxford Project to Investigate Memory and Ageing (OPTIMA), Experimental Medicine Division of Radcliffe Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Daniela Ballotta
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Riccardo Maramotti
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Department of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia, Modena, Italy
- Department of Mathematics and Computer Science, University of Ferrara, Ferrara, Italy
| | - Chiara Carbone
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Chiara Gallingani
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Neurologia, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
| | - Clare MacKay
- Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Giuseppe Pagnoni
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Annalisa Chiari
- Neurologia, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
| | - Giovanna Zamboni
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
- Neurologia, Azienda Ospedaliero Universitaria di Modena, Modena, Italy
- Oxford Project to Investigate Memory and Ageing (OPTIMA), Experimental Medicine Division of Radcliffe Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
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Frank C, Albertazzi A, Murphy C. The effect of the apolipoprotein E ε4 allele and olfactory function on odor identification networks. Brain Behav 2024; 14:e3524. [PMID: 38702902 PMCID: PMC11069025 DOI: 10.1002/brb3.3524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 04/11/2024] [Accepted: 04/17/2024] [Indexed: 05/06/2024] Open
Abstract
INTRODUCTION The combination of apolipoprotein E ε4 (ApoE ε4) status, odor identification, and odor familiarity predicts conversion to mild cognitive impairment (MCI) and Alzheimer's disease (AD). METHODS To further understand olfactory disturbances and AD risk, ApoE ε4 carrier (mean age 76.38 ± 5.21) and ε4 non-carrier (mean age 76.8 ± 3.35) adults were given odor familiarity and identification tests and performed an odor identification task during fMRI scanning. Five task-related functional networks were detected using independent components analysis. Main and interaction effects of mean odor familiarity ratings, odor identification scores, and ε4 status on network activation and task-modulation of network functional connectivity (FC) during correct and incorrect odor identification (hits and misses), controlling for age and sex, were explored using multiple linear regression. RESULTS Findings suggested that sensory-olfactory network activation was positively associated with odor identification scores in ε4 carriers with intact odor familiarity. The FC of sensory-olfactory, multisensory-semantic integration, and occipitoparietal networks was altered in ε4 carriers with poorer odor familiarity and identification. In ε4 carriers with poorer familiarity, connectivity between superior frontal areas and the sensory-olfactory network was negatively associated with odor identification scores. CONCLUSIONS The results contribute to the clarification of the neurocognitive structure of odor identification processing and suggest that poorer odor familiarity and identification in ε4 carriers may signal multi-network dysfunction. Odor familiarity and identification assessment in ε4 carriers may contribute to the predictive value of risk for MCI and AD due to the breakdown of sensory-cognitive network integration. Additional research on olfactory processing in those at risk for AD is warranted.
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Affiliation(s)
- Conner Frank
- SDSU/UC San Diego Joint Doctoral Program in Clinical PsychologySan DiegoCaliforniaUSA
| | - Abigail Albertazzi
- Department of PsychologySan Diego State UniversitySan DiegoCaliforniaUSA
| | - Claire Murphy
- Department of PsychologySan Diego State UniversitySan DiegoCaliforniaUSA
- Department of PsychiatryUniversity of California San DiegoLa JollaCaliforniaUSA
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Marcolini S, Mondragón JD, Bron EE, Biessels GJ, Claassen JA, Papma JM, Middelkoop H, Dierckx RA, Borra RJ, Ramakers IH, van der Flier WM, Maurits NM, De Deyn PP. Small vessel disease burden and functional brain connectivity in mild cognitive impairment. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2023; 6:100192. [PMID: 38174052 PMCID: PMC10758699 DOI: 10.1016/j.cccb.2023.100192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/15/2023] [Accepted: 11/27/2023] [Indexed: 01/05/2024]
Abstract
Background The role of small vessel disease in the development of dementia is not yet completely understood. Functional brain connectivity has been shown to differ between individuals with and without cerebral small vessel disease. However, a comprehensive measure of small vessel disease quantifying the overall damage on the brain is not consistently used and studies using such measure in mild cognitive impairment individuals are missing. Method Functional brain connectivity differences were analyzed between mild cognitive impairment individuals with absent or low (n = 34) and high (n = 34) small vessel disease burden using data from the Parelsnoer Institute, a Dutch multicenter study. Small vessel disease was characterized using an ordinal scale considering: lacunes, microbleeds, perivascular spaces in the basal ganglia, and white matter hyperintensities. Resting state functional MRI data using 3 Tesla scanners was analyzed with group-independent component analysis using the CONN toolbox. Results Functional connectivity between areas of the cerebellum and between the cerebellum and the thalamus and caudate nucleus was higher in the absent or low small vessel disease group compared to the high small vessel disease group. Conclusion These findings might suggest that functional connectivity of mild cognitive impairment individuals with low or absent small vessel disease burden is more intact than in mild cognitive impairment individuals with high small vessel disease. These brain areas are mainly responsible for motor, attentional and executive functions, domains which in previous studies were found to be mostly associated with small vessel disease markers. Our results support findings on the involvement of the cerebellum in cognitive functioning.
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Affiliation(s)
- Sofia Marcolini
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen 9713 GZ, the Netherlands
| | - Jaime D. Mondragón
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen 9713 GZ, the Netherlands
- Universidad Nacional Autónoma de México, Instituto de Neurobiología, Departamento de Neurobiología Conductual y Cognitiva, Laboratorio de Psicofisiología, Querétaro 76230, Mexico
- San Diego State University, Department of Psychology, Life-Span Human Senses Lab, San Diego, California 92182, USA
| | - Esther E. Bron
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam 3015 GD, the Netherlands
| | - Geert J. Biessels
- Department of Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht 3584 CX, the Netherlands
| | - Jurgen A.H.R. Claassen
- Department of Geriatrics, Radboud University Medical Center and Donders Institute, Nijmegen 6525 GD, the Netherlands
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE1 7RH, United Kingdom
| | - Janne M. Papma
- Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam 3015 GD, the Netherlands
- Department of Neurology and Alzheimer Center Erasmus MC, Erasmus MC University Medical Center, Rotterdam 3015 GD, the Netherlands
| | - Huub Middelkoop
- Institute of Psychology, Health, Medical and Neuropsychology Unit, Leiden University, Leiden 2316 XC, the Netherlands
- Department of Neurology, Leiden University Medical Centre, Leiden 2333 ZA, the Netherlands
| | - Rudi A.J.O. Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Ronald J.H. Borra
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen 9713 GZ, the Netherlands
| | - Inez H.G.B. Ramakers
- Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht 6229 ER, the Netherlands
| | - Wiesje M. van der Flier
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam 1081 HZ, the Netherlands
- Department of Epidemiology & Data Sciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam 1117, the Netherlands
| | - Natasha M. Maurits
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen 9713 GZ, the Netherlands
| | - Peter P. De Deyn
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen 9713 GZ, the Netherlands
- Laboratory of Neurochemistry and Behavior, University of Antwerp, Antwerp 2610, Belgium
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Andrade K, Guieysse T, Medani T, Koechlin E, Pantazis D, Dubois B. The dual-path hypothesis for the emergence of anosognosia in Alzheimer's disease. Front Neurol 2023; 14:1239057. [PMID: 38020610 PMCID: PMC10654627 DOI: 10.3389/fneur.2023.1239057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
Although neurocognitive models have been proposed to explain anosognosia in Alzheimer's disease (AD), the neural cascade responsible for its origin in the human brain remains unknown. Here, we build on a mechanistic dual-path hypothesis that brings error-monitoring and emotional processing systems as key elements for self-awareness, with distinct impacts on the emergence of anosognosia in AD. Proceeding from the notion of anosognosia as a dimensional syndrome, varying between a lack of concern about one's own deficits (i.e., anosodiaphoria) and a complete lack of awareness of deficits, our hypothesis states that (i) unawareness of deficits would result from primary damage to the error-monitoring system, whereas (ii) anosodiaphoria would more likely result from an imbalance between emotional processing and error-monitoring. In the first case, a synaptic failure in the error-monitoring system, in which the anterior and posterior cingulate cortices play a major role, would have a negative impact on error (or deficits) awareness, preventing patients from becoming aware of their condition. In the second case, an impairment in the emotional processing system, in which the amygdala and the orbitofrontal cortex play a major role, would prevent patients from monitoring the internal milieu for relevant errors (or deficits) and assigning appropriate value to them, thus biasing their impact on the error-monitoring system. Our hypothesis stems on two scientific premises. One comes from preliminary results in AD patients showing a synaptic failure in the error-monitoring system along with a decline of awareness for cognitive difficulties at the time of diagnosis. Another comes from the somatic marker hypothesis, which proposes that emotional signals are critical to adaptive behavior. Further exploration of these premises will be of great interest to illuminate the foundations of self-awareness and improve our knowledge of the underlying paths of anosognosia in AD and other brain disorders.
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Affiliation(s)
- Katia Andrade
- Institute of Memory and Alzheimer’s Disease (IM2A), Department of Neurology, Assistance Publique-Hôpitaux de Paris (AP-HP), Sorbonne University, Pitié-Salpêtrière Hospital, Paris, France
- Frontlab, Paris Brain Institute (Institut du Cerveau, ICM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France
| | - Thomas Guieysse
- Institute of Memory and Alzheimer’s Disease (IM2A), Department of Neurology, Assistance Publique-Hôpitaux de Paris (AP-HP), Sorbonne University, Pitié-Salpêtrière Hospital, Paris, France
| | - Takfarinas Medani
- Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, United States
| | - Etienne Koechlin
- École Normale Supérieure, Laboratoire de Neurosciences Cognitives et Computationnelles, Paris, France
| | - Dimitrios Pantazis
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Bruno Dubois
- Institute of Memory and Alzheimer’s Disease (IM2A), Department of Neurology, Assistance Publique-Hôpitaux de Paris (AP-HP), Sorbonne University, Pitié-Salpêtrière Hospital, Paris, France
- Frontlab, Paris Brain Institute (Institut du Cerveau, ICM), AP-HP, Pitié-Salpêtrière Hospital, Paris, France
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Antar M, Wang L, Tran A, White A, Williams P, Sylcott B, Mizelle JC, Kim S. Functional Connectivity Analysis of Visually Evoked ERPs for Mild Cognitive Impairment: Pilot Study. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38082904 DOI: 10.1109/embc40787.2023.10339999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Mild cognitive impairment (MCI) is considered the early stage of Alzheimer's disease, characterized as mild memory loss. A novel method of functional connectivity (FC) analysis can be used to detect MCI before memory is significantly impaired allowing for preventative measures to be taken. FC examines interactions between EEG channels to grant insight on underlying neural networks and analyze the effects of MCI. Applying FC method of weighted phase lag index (wPLI) to P300 ERPs provided insight on the link between the pathology of Alzheimer's disease and cognitive loss. wPLI was analyzed per frequency band (θ, α, μ, β) and by channel combination groups (intra-hemispheric short, intra-hemispheric long, inter-hemispheric short, inter-hemispheric long, transverse). MCI was found to have a statistically significant lower ΔwPLIP300 compared to normal controls in the μ intra-hemispheric short (p = 0.0286), μ intra-hemispheric long (p = 0.0477), μ inter-hemispheric short (p = 0.0018) and the α intra-hemispheric short (p = 0.0423). Results indicate a possible deficiency in the dorsal visual processing pathway among MCI subjects as well as an unbalanced coordination between the two hemispheres.
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Zhang X, Li Y, Guan Q, Dong D, Zhang J, Meng X, Chen F, Luo Y, Zhang H. Distance-dependent reconfiguration of hubs in Alzheimer's disease: a cross-tissue functional network study. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.24.532772. [PMID: 36993290 PMCID: PMC10055319 DOI: 10.1101/2023.03.24.532772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
The hubs of the intra-grey matter (GM) network were sensitive to anatomical distance and susceptible to neuropathological damage. However, few studies examined the hubs of cross-tissue distance-dependent networks and their changes in Alzheimer's disease (AD). Using resting-state fMRI data of 30 AD patients and 37 normal older adults (NC), we constructed the cross-tissue networks based on functional connectivity (FC) between GM and white matter (WM) voxels. In the full-ranged and distance-dependent networks (characterized by gradually increased Euclidean distances between GM and WM voxels), their hubs were identified with weight degree metrics (frWD and ddWD). We compared these WD metrics between AD and NC; using the resultant abnormal WDs as the seeds, we performed seed-based FC analysis. With increasing distance, the GM hubs of distance-dependent networks moved from the medial to lateral cortices, and the WM hubs spread from the projection fibers to longitudinal fascicles. Abnormal ddWD metrics in AD were primarily located in the hubs of distance-dependent networks around 20-100mm. Decreased ddWDs were located in the left corona radiation (CR), which had decreased FCs with the executive network's GM regions in AD. Increased ddWDs were located in the posterior thalamic radiation (PTR) and the temporal-parietal-occipital junction (TPO), and their FCs were larger in AD. Increased ddWDs were shown in the sagittal striatum, which had larger FCs with the salience network's GM regions in AD. The reconfiguration of cross-tissue distance-dependent networks possibly reflected the disruption in the neural circuit of executive function and the compensatory changes in the neural circuits of visuospatial and social-emotional functions in AD.
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Affiliation(s)
- Xingxing Zhang
- Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, China
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Yingjia Li
- Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, China
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Qing Guan
- Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, China
- School of Psychology, Shenzhen University, Shenzhen, China
- Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China
| | - Debo Dong
- Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, 400715, China
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Jianfeng Zhang
- Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, China
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Xianghong Meng
- Department of Neurosurgery, Shenzhen University General Hospital, Shenzhen University, Shenzhen, China
| | - Fuyong Chen
- Department of Neurosurgery, Shenzhen Hospital of University of Hong Kong, Shenzhen, China
| | - Yuejia Luo
- Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, China
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Haobo Zhang
- Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, China
- School of Psychology, Shenzhen University, Shenzhen, China
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Ersoezlue E, Perneczky R, Tato M, Utecht J, Kurz C, Häckert J, Guersel S, Burow L, Koller G, Stoecklein S, Keeser D, Papazov B, Totzke M, Ballarini T, Brosseron F, Buerger K, Dechent P, Dobisch L, Ewers M, Fliessbach K, Glanz W, Haynes JD, Heneka MT, Janowitz D, Kilimann I, Kleineidam L, Laske C, Maier F, Munk MH, Peters O, Priller J, Ramirez A, Roeske S, Roy N, Scheffler K, Schneider A, Schott BH, Spottke A, Spruth EJ, Teipel S, Unterfeld C, Wagner M, Wang X, Wiltfang J, Wolfsgruber S, Yakupov R, Duezel E, Jessen F, Rauchmann BS. A Residual Marker of Cognitive Reserve Is Associated with Resting-State Intrinsic Functional Connectivity Along the Alzheimer's Disease Continuum. J Alzheimers Dis 2023; 92:925-940. [PMID: 36806502 DOI: 10.3233/jad-220464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
Abstract
BACKGROUND Cognitive reserve (CR) explains inter-individual differences in the impact of the neurodegenerative burden on cognitive functioning. A residual model was proposed to estimate CR more accurately than previous measures. However, associations between residual CR markers (CRM) and functional connectivity (FC) remain unexplored. OBJECTIVE To explore the associations between the CRM and intrinsic network connectivity (INC) in resting-state networks along the neuropathological-continuum of Alzheimer's disease (ADN). METHODS Three hundred eighteen participants from the DELCODE cohort were stratified using cerebrospinal fluid biomarkers according to the A(myloid-β)/T(au)/N(eurodegeneration) classification. CRM was calculated utilizing residuals obtained from a multilinear regression model predicting cognition from markers of disease burden. Using an independent component analysis in resting-state fMRI data, we measured INC of resting-state networks, i.e., default mode network (DMN), frontoparietal network (FPN), salience network (SAL), and dorsal attention network. The associations of INC with a composite memory score and CRM and the associations of CRM with the seed-to-voxel functional connectivity of memory-related were tested in general linear models. RESULTS CRM was positively associated with INC in the DMN in the entire cohort. The A+T+N+ group revealed an anti-correlation between the SAL and the DMN. Furthermore, CRM was positively associated with anti-correlation between memory-related regions in FPN and DMN in ADN and A+T/N+. CONCLUSION Our results provide evidence that INC is associated with CRM in ADN defined as participants with amyloid pathology with or without cognitive symptoms, suggesting that the neural correlates of CR are mirrored in network FC in resting-state.
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Affiliation(s)
- Ersin Ersoezlue
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany.,Department of Gerontopsychiatry and Developmental Disorders, kbo-Isar-Amper-Klinikum Haar, University Teaching Hospital of LMU Munich, Germany
| | - Robert Perneczky
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE) Munich, Germany.,Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College, London, UK.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Sheffield Institute for Translational Neurology (SITraN), University of Sheffield, Sheffield, UK
| | - Maia Tato
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany
| | - Julia Utecht
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany
| | - Carolin Kurz
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany
| | - Jan Häckert
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany
| | - Selim Guersel
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany
| | - Lena Burow
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany
| | - Gabriele Koller
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany
| | - Sophia Stoecklein
- Sheffield Institute for Translational Neurology (SITraN), University of Sheffield, Sheffield, UK
| | - Daniel Keeser
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany.,Sheffield Institute for Translational Neurology (SITraN), University of Sheffield, Sheffield, UK
| | - Boris Papazov
- Sheffield Institute for Translational Neurology (SITraN), University of Sheffield, Sheffield, UK
| | - Marie Totzke
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany
| | | | | | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE Munich), Munich, Germany.,Institute for Stroke and Dementia Research (ISD), University Hospital LMU Munich, Germany
| | - Peter Dechent
- MR-Research in Neurosciences Department of Cognitive Neurology, Georg-August-University Goettingen, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE) Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University Magdeburg, Germany
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE Munich), Munich, Germany.,Institute for Stroke and Dementia Research (ISD), University Hospital LMU Munich, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE) Bonn, Germany.,Medical Center of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn, Germany
| | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE) Magdeburg, Germany
| | - John Dylan Haynes
- Bernstein Center for Computational Neuroscience Charité - Universitätsmedizin Berlin, Germany
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases (DZNE) Bonn, Germany.,Medical Center of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital LMU Munich, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE) Rostock, Germany.,Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Luca Kleineidam
- German Center for Neurodegenerative Diseases (DZNE) Bonn, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE) Tübingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Germany
| | - Franziska Maier
- Department of Psychiatry, Medical Faculty of University of Cologne, Germany
| | - Matthias H Munk
- German Center for Neurodegenerative Diseases (DZNE) Tübingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Germany
| | - Oliver Peters
- Department of Psychiatry, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, Germany.,German Center for Neurodegenerative Diseases (DZNE) Berlin, Germany
| | - Josef Priller
- Department of Psychiatry and Psychotherapy, Charité Berlin, Germany.,Department of Psychiatry and Psychotherapy, School of Medicine Technical University of Munich, Germany.,University of Edinburgh and UK DRI Edinburgh, UK
| | - Alfredo Ramirez
- German Center for Neurodegenerative Diseases (DZNE) Bonn, Germany.,Medical Center of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn, Germany.,Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, Germany.,Department of Psychiatry & Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, TX, USA
| | - Sandra Roeske
- German Center for Neurodegenerative Diseases (DZNE) Bonn, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases (DZNE) Bonn, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tübingen, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE) Bonn, Germany.,Medical Center of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn, Germany
| | - Björn H Schott
- German Center for Neurodegenerative Diseases (DZNE) Goettingen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Germany.,Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE) Bonn, Germany.,Department of Neurology, University of Bonn, Germany
| | - Eike J Spruth
- German Center for Neurodegenerative Diseases (DZNE) Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité Berlin, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE) Rostock, Germany.,Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Chantal Unterfeld
- Department of Psychiatry, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, Germany
| | - Michael Wagner
- German Center for Neurodegenerative Diseases (DZNE) Bonn, Germany.,Medical Center of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn, Germany
| | - Xiao Wang
- Department of Psychiatry, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE) Goettingen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Germany.,Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Portugal
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE) Bonn, Germany.,Medical Center of Neurodegenerative Disease and Geriatric Psychiatry, University of Bonn, Germany
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases (DZNE) Magdeburg, Germany
| | - Emrah Duezel
- German Center for Neurodegenerative Diseases (DZNE) Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University Magdeburg, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE) Bonn, Germany.,Department of Psychiatry, Medical Faculty of University of Cologne, Germany.,Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD) University of Cologne, Germany
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE) Munich, Germany.,Sheffield Institute for Translational Neurology (SITraN), University of Sheffield, Sheffield, UK.,Department of Neuroradiology, University Hospital, LMU Munich, Germany
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10
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Zhang X, Guan Q, Li Y, Zhang J, Zhu W, Luo Y, Zhang H. Aberrant Cross-Tissue Functional Connectivity in Alzheimer’s Disease: Static, Dynamic, and Directional Properties. J Alzheimers Dis 2022; 88:273-290. [DOI: 10.3233/jad-215649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: BOLD signals in the gray matter (GM) and white matter (WM) are tightly coupled. However, our understanding of the cross-tissue functional network in Alzheimer’s disease (AD) is limited. Objective: We investigated the changes of cross-tissue functional connectivity (FC) metrics for the GM regions susceptible to AD damage. Methods: For each GM region in the default mode (DMN) and limbic networks, we obtained its low-order static FC with any WM region, and the high-order static FC between any two WM regions based on their FC pattern similarity with multiple GM regions. The dynamic and directional properties of cross-tissue FC were then acquired, specifically for the regional pairs whose low- or high-order static FCs showed significant differences between AD and normal control (NC). Moreover, these cross-tissue FC metrics were correlated with voxel-based GM volumes and MMSE in all participants. Results: Compared to NC, AD patients showed decreased low-order static FCs between the intra-hemispheric GM-WM pairs (right ITG-right fornix; left MoFG-left posterior corona radiata), and increased low-order static, dynamic, and directional FCs between the inter-hemispheric GM-WM pairs (right MTG-left superior/posterior corona radiata). The high-order static and directional FCs between the left cingulate bundle-left tapetum were increased in AD, based on their FCs with the GMs of DMN. Those decreased and increased cross-tissue FC metrics in AD had opposite correlations with memory-related GM volumes and MMSE (positive for the decreased and negative for the increased). Conclusion: Cross-tissue FC metrics showed opposite changes in AD, possibly as useful neuroimaging biomarkers to reflect neurodegenerative and compensatory mechanisms.
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Affiliation(s)
- Xingxing Zhang
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
| | - Qing Guan
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
- Shenzhen-Hong Kong Institute of Brain Science, Shenzhen, China
- Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China
| | - Yingjia Li
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
| | - Jianfeng Zhang
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
| | - Wanlin Zhu
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuejia Luo
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
| | - Haobo Zhang
- Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
- Shenzhen-Hong Kong Institute of Brain Science, Shenzhen, China
- Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China
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11
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Roberts SD, Wilson A, Rahimi A, Gorbet D, Sergio L, Stevens WD, Wojtowicz M. Investigation of baseline attention, executive control, and performance variability in female varsity athletes. Brain Imaging Behav 2022; 16:1636-1645. [PMID: 35182290 DOI: 10.1007/s11682-022-00635-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/12/2022] [Indexed: 11/24/2022]
Abstract
To examine attention, executive control, and performance variability in healthy varsity athletes and identify unique resting-state functional connectivity (rsFC) patterns associated with measures of speed, stability, and attention. A sample of 29 female university varsity athletes completed cognitive testing using the Attention Network Test- Interactions (ANT-I) and underwent resting-state functional MRI (rsfMRI) scans. Performance was characterized by examining mean reaction time (RT), variability in performance (ISD), and attention network scores on the ANT-I. RsfMRI data were analyzed using an independent component analysis (ICA) in the frontoparietal (FPN), dorsal attention (DAN), default mode, (DMN), salience (SN), and sensorimotor (SMN) networks. Group-level analyses using the performance variables of interest were conducted. Athletes' performance on the ANT-I revealed a main effect of orienting and executive control (ps<0.001; partial η2 = 0.68 and 0.89, respectively), with performance facilitated (i.e., faster RT) when athletes were presented with valid cues and congruent flankers. Alerting, orienting, and executive control performance were associated with differences in rsFC within the SN, DMN, and FPN, respectively. Slower RTs were associated with greater rsFC between DAN and bilateral postcentral gyri (p<.001), whereas more stable performance was associated with greater FC between the SMN and the left precuneus (p<.05). Consistent with prior studies, we observed that efficiency in alerting, orienting, and executive control aspects of attention was associated with differences in rsFC in regions associated with the SN, DMS, and FPN. In addition, we observed differential patterns of rsFC for overall speed and variability of performance.
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Affiliation(s)
- Samantha D Roberts
- Department of Psychology, York University, 4700 Keele Street, Toronto, M3J 1P3, ON, Canada
| | - Alyssia Wilson
- Department of Psychology, York University, 4700 Keele Street, Toronto, M3J 1P3, ON, Canada
| | - Alma Rahimi
- Department of Psychology, York University, 4700 Keele Street, Toronto, M3J 1P3, ON, Canada
| | - Diana Gorbet
- Department of Kinesiology & Health Science, York University, Toronto, ON, Canada
| | - Lauren Sergio
- Department of Kinesiology & Health Science, York University, Toronto, ON, Canada
| | - W Dale Stevens
- Department of Psychology, York University, 4700 Keele Street, Toronto, M3J 1P3, ON, Canada
| | - Magdalena Wojtowicz
- Department of Psychology, York University, 4700 Keele Street, Toronto, M3J 1P3, ON, Canada.
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12
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Valera-Bermejo JM, De Marco M, Venneri A. Altered Interplay Among Large-Scale Brain Functional Networks Modulates Multi-Domain Anosognosia in Early Alzheimer’s Disease. Front Aging Neurosci 2022; 13:781465. [PMID: 35185517 PMCID: PMC8851037 DOI: 10.3389/fnagi.2021.781465] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 12/29/2021] [Indexed: 12/11/2022] Open
Abstract
Decline in self-awareness is a prevalent symptom in Alzheimer’s disease (AD). Current data suggest that an early breakdown in the brain’s default mode network (DMN) is closely associated with the main symptomatic features in AD patients. In parallel, the integrity of the DMN has been shown to be heavily implicated in retained self-awareness abilities in healthy individuals and AD patients. However, the global contribution to awareness skills of other large-scale networks is still poorly understood. Resting-state functional magnetic resonance imaging (rs-fMRI) scans were acquired and pre-processed from 53 early-stage AD individuals. A group-level independent component analysis was run to isolate and reconstruct four intrinsic connectivity large-scale brain functional networks, namely left and right central executive fronto-parietal networks (FPN), salience network, and anterior and posterior DMN. Hypothesis-driven seed-based connectivity analyses were run to clarify the region-specific underpinnings of multi-domain anosognosia. Multiple regression models were run on large-scale network- and seed-based connectivity maps, including scores of memory, non-memory and total anosognosia obtained via the Measurement of Anosognosia Questionnaire. Memory anosognosia scores were associated with selective lower fronto-temporal connectivity and higher parieto-temporal connectivity. Non-memory anosognosia scores were associated with higher connectivity between the anterior DMN and the cerebellum, between the left medial prefrontal seeds and the contralateral prefrontal cortex, and between the left hippocampal seed and the left insula; lower connectivity was observed between the right prefrontal cortex and the right lingual seed. Lastly, total anosognosia scores were associated with large-scale network alterations, namely reduced left-FPN expression in the left posterior cingulate, reduced right-FPN expression in the left inferior lingual gyrus and adjacent inferior occipital cortex, and increased right-FPN expression in the right anterior cingulate. Seed-based analyses yielded significant connectivity differences only in the connectivity pattern associated with the left hippocampal seed by displaying lower intercommunication with the right prefrontal cortex, but higher connectivity with the left caudate nucleus. These findings support the hypothesis that alterations in functional connectivity of frontal lobe regions involved in executive-related mechanisms represent the neural correlates of domain-specific anosognosia in early AD. Up-regulated connectivity with subcortical structures appears to contribute to changes in the network dynamics interplay and fosters the appearance of anosognosia.
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Affiliation(s)
| | - Matteo De Marco
- Department of Life Sciences, Brunel University London, Uxbridge, United Kingdom
| | - Annalena Venneri
- Department of Neuroscience, University of Sheffield, Sheffield, United Kingdom
- Department of Life Sciences, Brunel University London, Uxbridge, United Kingdom
- *Correspondence: Annalena Venneri,
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13
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Gagliardi G, Vannini P. Episodic Memory Impairment Mediates the Loss of Awareness in Mild Cognitive Impairment. Front Aging Neurosci 2022; 13:802501. [PMID: 35126092 PMCID: PMC8814670 DOI: 10.3389/fnagi.2021.802501] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 12/30/2021] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION Loss of awareness is a common symptom in Alzheimer's Disease (AD) and responsible for a significant loss of functional abilities. The mechanisms underlying loss of awareness in AD is unknown, although previous findings have implicated dysfunction of primary executive functioning (EF) or episodic memory (EM) to be the cause. Therefore, our main study objective was to explore the involvement of EF and EM dysfunction in amyloid-related loss of awareness across the clinical spectrum of AD. METHODS A total of 895 participants (362 clinically normal [CN], 422 people with mild cognitive impairment [MCI] and 111 with dementia) from the Alzheimer's Disease Neuroimaging Initiative were used for the analyses. A sub-analysis was performed in 202 participants who progressed in their clinical diagnosis from CN to MCI or MCI to dementia as well as dementia patients. Mediation models were used in each clinical group with awareness (assessed with the Everyday Cognitive function questionnaire) as a dependent variable to determine whether EF and/or EM would mediate the effect of amyloid on awareness. We also ran these analyses with subjective and informant complaints as dependent variables. Direct correlations between all variables were also performed. RESULTS We found evidence for a decline in awareness across the groups, with increased awareness observed in the CN group and decreased awareness observed in the MCI and dementia groups. Our results showed that EM, and not EF, partially mediated the relationship between amyloid and awareness such that greater amyloid and lower EM performance was associated with lower awareness. When analyzing each group separately, this finding was only observed in the MCI group and in the group containing progressors and dementia patients. When repeating the analyses for subjective and informant complaints separately, the results were replicated only for the informant's complaints. DISCUSSION Our results demonstrate that decline in EM and, to a lesser degree, EF, mediate the effect of amyloid on awareness. In line with previous studies demonstrating the development of anosognosia in the prodromal stage, our findings suggest that decreased awareness is the result of an inability for the participant to update his/her insight into his/her cognitive performance (i.e., demonstrating a petrified self).
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Affiliation(s)
- Geoffroy Gagliardi
- Neurology, Brigham and Women's Hospital, Boston, MA, United States
- Neurology, Massachusetts General Hospital, Boston, MA, United States
- Harvard Medical School, Cambridge, MA, United States
| | - Patrizia Vannini
- Neurology, Brigham and Women's Hospital, Boston, MA, United States
- Neurology, Massachusetts General Hospital, Boston, MA, United States
- Harvard Medical School, Cambridge, MA, United States
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14
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Chen S, Song Y, Wu H, Ge H, Qi W, Xi Y, Wu J, Ji Y, Chen K, Lin X, Chen J. Hyperconnectivity Associated with Anosognosia Accelerating Clinical Progression in Amnestic Mild Cognitive Impairment. ACS Chem Neurosci 2022; 13:120-133. [PMID: 34923823 DOI: 10.1021/acschemneuro.1c00595] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The incidence and prevalence of anosognosia are highly variable in amnestic mild cognitive impairment (aMCI) patients. The study aims to explore the neuropathological mechanism of anosognosia in aMCI patients using two different but complementary technologies, including 18F-flortaucipir positron emission tomography and resting state functional magnetic resonance imaging. The study found that anosognosia was related to higher tau accumulation in the left medial orbitofrontal cortex (OFC), left posterior cingulate cortex, and right precuneus in aMCI patients. Intrinsic functional connectivity analyses found significant correlations between anosognosia index and hypoconnectivity between the left medial OFC and left middle temporal gyrus (MTG), right precuneus and left lingual gyrus. Longitudinally, the connectivity of these brain regions as well as the right precuneus and right cuneus showed hyperconnectivity in aMCI patients with anosognosia. The anosognosia index was also correlated with AD pathological markers (i.e., Aβ, t-tau, and p-tau) and brain glucose metabolism in aMCI patients. In conclusion, anosognosia in aMCI patients is associated with the dysfunction of medial OFC-MTG circuit and the precuneus-visual cortex circuit and accelerates clinical progression to AD dementia.
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Affiliation(s)
- Shanshan Chen
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Yu Song
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Huimin Wu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Honglin Ge
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Wenzhang Qi
- Department of Radiology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Yue Xi
- Fourth Clinical College of Nanjing Medical University, Nanjing 211166, China
| | - Jiayi Wu
- Fourth Clinical College of Nanjing Medical University, Nanjing 211166, China
| | - Yuxiang Ji
- Fourth Clinical College of Nanjing Medical University, Nanjing 211166, China
| | - Kexin Chen
- Fourth Clinical College of Nanjing Medical University, Nanjing 211166, China
| | - Xingjian Lin
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
- Institute of Brain Functional Imaging, Nanjing Medical University, Nanjing, Jiangsu 210029, China
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15
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Flores-Vázquez JF, Ramírez-García G, Marrufo-Meléndez OR, Alcalá-Lozano R, Lietz MP, Rodríguez-Agudelo Y, Acosta-Castillo GI, Renken RJ, Aleman A, Enriquez-Geppert S, Sosa-Ortiz AL. Anosognosia in Amnestic Mild Cognitive Impairment Is Related to Diminished Hippocampal Volume Comparable to Alzheimer's Disease Dementia: Preliminary MRI Findings. Front Aging Neurosci 2021; 13:739422. [PMID: 34776927 PMCID: PMC8581404 DOI: 10.3389/fnagi.2021.739422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 10/05/2021] [Indexed: 12/03/2022] Open
Abstract
Although the presence of anosognosia in amnestic mild cognitive impairment (aMCI) may be predictive of conversion to Alzheimer’s disease (AD), little is known about its neural correlates in AD and aMCI. Four different groups were compared using volumetric and diffusion magnetic resonance imaging metrics in regions of interest (hippocampus and cingulum cortex gray matter, cingulum bundle white matter): aMCI subjects with anosognosia (n = 6), aMCI subjects without anosognosia (n = 12), AD subjects with anosognosia (n = 6), and AD subjects without anosognosia (n = 9). aMCI subjects with anosognosia displayed a significantly lower gray matter density (GMD) in the bilateral hippocampus than aMCI subjects without anosognosia, which was accounted for by bilateral hippocampal differences. Furthermore, we identified that the mean hippocampal gray matter density of aMCI subjects with anosognosia was not statistically different than that of AD subjects. The groups of aMCI and AD subjects with anosognosia also displayed a lower GMD in the bilateral cingulum cortex compared to subjects without anosognosia, but these differences were not statistically significant. No statistically significant differences were found in the fractional anisotropy or mean diffusivity of the hippocampus or cingulum between subjects with and without anosognosia in aMCI or AD groups. While these findings are derived from a small population of subjects and are in need of replication, they suggest that anosognosia in aMCI might be a useful clinical marker to suspect brain changes associated with AD neuropathology.
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Affiliation(s)
- Juan Francisco Flores-Vázquez
- Programa de Maestría y Doctorado en Ciencias Médicas, Odontológicas y de la Salud, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Laboratorio de Demencias, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, Mexico.,Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, Netherlands.,Section of Cognitive Neuropsychiatry, Department of Biomedical Sciences of Cells and Systems, University of Groningen, Groningen, Netherlands
| | - Gabriel Ramírez-García
- Laboratorio de Neuropsicología, Departamento de Fisiología, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Oscar René Marrufo-Meléndez
- Unidad de Neuroimagen, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, Mexico
| | - Ruth Alcalá-Lozano
- Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City, Mexico
| | - Morten Peter Lietz
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, Netherlands.,Section of Cognitive Neuropsychiatry, Department of Biomedical Sciences of Cells and Systems, University of Groningen, Groningen, Netherlands
| | - Yaneth Rodríguez-Agudelo
- Departamento de Neuropsicología, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, Mexico
| | - Gilberto Isaac Acosta-Castillo
- Programa de Maestría y Doctorado en Ciencias Médicas, Odontológicas y de la Salud, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Laboratorio de Demencias, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, Mexico
| | - Remco J Renken
- Section of Cognitive Neuropsychiatry, Department of Biomedical Sciences of Cells and Systems, University of Groningen, Groningen, Netherlands
| | - Andre Aleman
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, Netherlands.,Section of Cognitive Neuropsychiatry, Department of Biomedical Sciences of Cells and Systems, University of Groningen, Groningen, Netherlands
| | - Stefanie Enriquez-Geppert
- Department of Clinical and Developmental Neuropsychology, University of Groningen, Groningen, Netherlands.,Section of Cognitive Neuropsychiatry, Department of Biomedical Sciences of Cells and Systems, University of Groningen, Groningen, Netherlands
| | - Ana Luisa Sosa-Ortiz
- Programa de Maestría y Doctorado en Ciencias Médicas, Odontológicas y de la Salud, Universidad Nacional Autónoma de México, Mexico City, Mexico.,Laboratorio de Demencias, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, Mexico
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