Functional Connectivity Alterations of the Temporal Lobe and Hippocampus in Semantic Dementia and Alzheimer’s Disease

Schwab, Simon; Afyouni, Soroosh; Chen, Yan; Han, Zaizhu; Guo, Qihao; Dierks, Thomas; Wahlund, Lars‐Olof; Grieder, Matthias

doi:10.3233/jad-191113

Cited by 27 publications

(18 citation statements)

References 82 publications

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“…The anterior hippocampus forms preferential connections to the temporal pole (Kahn et al, 2008) via the uncinate fasciculus (Kier et al, 2004), laying the groundwork for greater functional connectivity at rest (Honey et al, 2009) and during semantic processing (e.g., Hoffman & Morcom, 2018). Indeed, patients with semantic dementia often demonstrate damage and altered intrinsic functional connectivity to both of these regions (e.g., Chan et al, 2001;Schwab et al, 2020). If these regions are recruited to support episodic AM recollection in older adults, such memories might necessarily be "semanticized," or imbued with more semantic information (Spreng et al, 2018).…”

Section: Temporal Pole Volumes Relate To Episodic Am In Older Adultsmentioning

confidence: 99%

Temporal pole volume is associated with episodic autobiographical memory in healthy older adults

2022

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Recollection of personal past events differs across the lifespan. Older individuals recall fewer episodic details and convey more semantic information than young. Here we examine how gray matter volumes in temporal lobe regions integral to episodic and semantic memory (hippocampus and temporal poles, respectively) are related to age differences in autobiographical recollection. Gray matter volumes were obtained in healthy young (n = 158) and old (n = 105) adults. The temporal pole was demarcated and hippocampus segmented into anterior and posterior regions to test for volume differences between age groups. The Autobiographical Interview was administered to measure episodic and semantic autobiographical memory. Volume associations with episodic and semantic autobiographical memory were then assessed. Brain volumes were smaller for older adults in the posterior hippocampus. Autobiographical memory was less episodic and more semanticized for older versus younger adults. Older adults also showed positive associations between temporal pole volumes and episodic autobiographical recall; in the young, temporal pole volume was positively associated with performance on standard laboratory measures of semantic memory. Exploratory analyses revealed that age‐related episodic autobiographical memory associations with anterior hippocampal volumes depended on sex. These findings suggest that age differences in brain structures implicated in episodic and semantic memory may portend reorganization of neural circuits to support autobiographical memory in later life.

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Section: Temporal Pole Volumes Relate To Episodic Am In Older Adultsmentioning

confidence: 99%

Temporal pole volume is associated with episodic autobiographical memory in healthy older adults

2022

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“…It is manifested as a deterioration in memory trace consolidation represented by the result in the attempt to freely reproduce after a 20minute deferral in AVLT. [38][39][40] Many researchers have previously confirmed that those were independent predictors of the progression of Alzheimer's disease. [41][42][43][44][45][46] Both AD and AD+D groups were characterized by a lack of memory trace of deferred auditory hearing memory of any form and a significant decrease in memory skills.…”

Section: Discussionmentioning

confidence: 98%

“…In addition to the temporal lobe, prefrontal and parietal areas are associated with episodic memory. [38][39][40] The structures involved in the memory formation process are the hippocampus and the structure surrounding the olfactory sulcus. [38][39][40] It is in these areas that the degenerative process takes place at the early stages of Alzheimer's disease.…”

Section: Discussionmentioning

confidence: 99%

“…[38][39][40] The structures involved in the memory formation process are the hippocampus and the structure surrounding the olfactory sulcus. [38][39][40] It is in these areas that the degenerative process takes place at the early stages of Alzheimer's disease. It is manifested as a deterioration in memory trace consolidation represented by the result in the attempt to freely reproduce after a 20minute deferral in AVLT.…”

Section: Discussionmentioning

confidence: 99%

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The Analysis of Oxidative Stress Markers May Increase the Accuracy of the Differential Diagnosis of Alzheimer’s Disease with and without Depression

Polak-Szabela¹,

Dziembowska²,

Bracha³

et al. 2021

CIA

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Introduction The aim of work is to assess the usefulness of oxidative stress parameters in the differential diagnosis of dementia of the Alzheimer’s type and dementia of the Alzheimer’s type with coexisting depression. Methods The study involved three groups of people: patients with Alzheimer’s disease (AD) (AD; N=27), patients with Alzheimer’s disease and depression (D) (AD+D; N=30), and a control group that consisted of people without dementia and without depression (C; N=24). The assessment of cognitive functioning was carried out using among alia, Auditory Verbal Learning Test and Verbal Fluency Test. Furthermore, we determined the activity of superoxide dismutase (SOD-1) and superoxide anion radical. Results Multiple models with different combinations of independent variables showed that SOD together with Rey delayed recall were the best significant predictors of AD with the area under curve (AUC) of 0.893 (p = 0.001) and superoxide anion radical (O2 •− ) together with verbal fluency – sharp objects were the best significant predictors of AD +D diagnosis with the AUC of 0.689 (p = 0.034). Conclusion This study confirmed the value of neuropsychological diagnosis and analysis of oxidative stress markers in the diagnosis of AD and major depressive disorder (MDD) in the course of AD. The combination of the use of biochemical markers and neuropsychological tests seems particularly important for differential diagnosis.

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“…rs-FC network nodes which exhibit significant groupwise difference across HC, MCI, and AD groups. ,10, 11,12,20,21,23,24,25,26,27,35,36,37,39,42,45,47,50, 51, 53, 54, 55, 56, 58, 59, 60, 61, 62, 64, 65, 70, 71, 72, 73, 74, 95, 96, 98, 99, 100, 104, 106, 110, 112, 113, 116, 118, 125 …”

mentioning

confidence: 99%

Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study

Chen

et al. 2022

Behavioural Neurology

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Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely employed to examine brain functional connectivity (FC) alterations in various neurological disorders. At present, various computational methods have been proposed to estimate connectivity strength between different brain regions, as the edge weight of FC networks. However, little is known about which model is more sensitive to Alzheimer’s disease (AD) progression. This study comparatively characterized topological properties of rs-FC networks constructed with Pearson correlation (PC), dynamic time warping (DTW), and group information guided independent component analysis (GIG-ICA), aimed at investigating the sensitivity and effectivity of these methods in differentiating AD stages. A total of 54 subjects from Alzheimer’s Disease Neuroimaging Initiative (ANDI) database, divided into healthy control (HC), mild cognition impairment (MCI), and AD groups, were included in this study. Network-level (global efficiency and characteristic path length) and nodal (clustering coefficient) metrics were used to capture groupwise difference across HC, MCI, and AD groups. The results showed that almost no significant differences were found according to global efficiency and characteristic path length. However, in terms of clustering coefficient, 52 brain parcels sensitive to AD progression were identified in rs-FC networks built with GIG-ICA, much more than PC (6 parcels) and DTW (3 parcels). This indicates that GIG-ICA is more sensitive to AD progression than PC and DTW. The findings also confirmed that the AD-linked FC alterations mostly appeared in temporal, cingulate, and angular areas, which might contribute to clinical diagnosis of AD. Overall, this study provides insights into the topological properties of rs-FC networks over AD progression, suggesting that FC strength estimation of FC networks cannot be neglected in AD-related graph analysis.

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Functional Connectivity Alterations of the Temporal Lobe and Hippocampus in Semantic Dementia and Alzheimer’s Disease

Cited by 27 publications

References 82 publications

Temporal pole volume is associated with episodic autobiographical memory in healthy older adults

Temporal pole volume is associated with episodic autobiographical memory in healthy older adults

The Analysis of Oxidative Stress Markers May Increase the Accuracy of the Differential Diagnosis of Alzheimer’s Disease with and without Depression

Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study

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