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  1. Article ; Online: Are superagers super rare?

    Katsumi, Yuta / Touroutoglou, Alexandra

    International psychogeriatrics

    2024  , Page(s) 1–8

    Language English
    Publishing date 2024-01-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 1038825-4
    ISSN 1741-203X ; 1041-6102
    ISSN (online) 1741-203X
    ISSN 1041-6102
    DOI 10.1017/S1041610224000024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2621: Show issues Location:
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  2. Article ; Online: What is so super about ageing?

    Touroutoglou, Alexandra / Wong, Bonnie / Andreano, Joseph M

    The lancet. Healthy longevity

    2023  Volume 4, Issue 8, Page(s) e358–e359

    Language English
    Publishing date 2023-07-13
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Comment
    ISSN 2666-7568
    ISSN (online) 2666-7568
    DOI 10.1016/S2666-7568(23)00103-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Semantic Clustering during Verbal Episodic Memory Encoding and Retrieval in Older Adults: One Cognitive Mechanism of Superaging.

    Shaffer, Clare / Andreano, Joseph M / Touroutoglou, Alexandra / Barrett, Lisa Feldman / Dickerson, Bradford C / Wong, Bonnie

    Brain sciences

    2024  Volume 14, Issue 2

    Abstract: Normal aging is commonly accompanied by a decline in cognitive abilities, including memory, yet some individuals maintain these abilities as they get older. We hypothesize that semantic clustering, as an effective strategy for improving performance on ... ...

    Abstract Normal aging is commonly accompanied by a decline in cognitive abilities, including memory, yet some individuals maintain these abilities as they get older. We hypothesize that semantic clustering, as an effective strategy for improving performance on episodic recall tasks, may contribute to the maintenance of youthful memory in older adults. We investigated the dynamics of spontaneous production and utilization of the semantic clustering strategy in two independent samples of older adults who completed a list learning paradigm (N
    Language English
    Publishing date 2024-02-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2651993-8
    ISSN 2076-3425
    ISSN 2076-3425
    DOI 10.3390/brainsci14020171
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  4. Article: Neuroimaging in Frontotemporal Lobar Degeneration: Research and Clinical Utility.

    Dev, Sheena I / Dickerson, Bradford C / Touroutoglou, Alexandra

    Advances in experimental medicine and biology

    2021  Volume 1281, Page(s) 93–112

    Abstract: Frontotemporal lobar dementia (FTLD) is a clinically and pathologically complex disease. Advances in neuroimaging techniques have provided a specialized set of tools to investigate underlying pathophysiology and identify clinical biomarkers that aid in ... ...

    Abstract Frontotemporal lobar dementia (FTLD) is a clinically and pathologically complex disease. Advances in neuroimaging techniques have provided a specialized set of tools to investigate underlying pathophysiology and identify clinical biomarkers that aid in diagnosis, prognostication, monitoring, and identification of appropriate endpoints in clinical trials. In this chapter, we review data discussing the utility of neuroimaging biomarkers in sporadic FTLD, with an emphasis on current and future clinical applications. Among those modalities readily utilized in clinical settings, T1-weighted structural magnetic resonance imaging (MRI) and 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) are best supported in differential diagnosis and as targets for clinical trial endpoints. However, a number of nonclinical neuroimaging modalities, including diffusion tensor imaging and resting-state functional connectivity MRI, show promise as biomarkers to predict progression and as clinical trial endpoints. Other neuroimaging modalities, including amyloid PET, Tau PET, and arterial spin labeling MRI, are also discussed, though more work is required to establish their utility in FTLD in clinical settings.
    MeSH term(s) Brain ; Diffusion Tensor Imaging ; Frontotemporal Dementia ; Frontotemporal Lobar Degeneration/diagnostic imaging ; Humans ; Magnetic Resonance Imaging ; Neuroimaging
    Language English
    Publishing date 2021-01-12
    Publishing country United States
    Document type Journal Article ; Review
    ISSN 2214-8019 ; 0065-2598
    ISSN (online) 2214-8019
    ISSN 0065-2598
    DOI 10.1007/978-3-030-51140-1_7
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  5. Article: Cingulate-centered large-scale networks: Normal functions, aging, and neurodegenerative disease.

    Touroutoglou, Alexandra / Dickerson, Bradford C

    Handbook of clinical neurology

    2019  Volume 166, Page(s) 113–127

    Abstract: In this chapter, we review evidence from structural and functional neuroimaging in humans to consider the role of the cingulate cortex subregions (i.e., subgenual anterior cingulate cortex, pregenual anterior cingulate cortex, anterior midcingulate ... ...

    Abstract In this chapter, we review evidence from structural and functional neuroimaging in humans to consider the role of the cingulate cortex subregions (i.e., subgenual anterior cingulate cortex, pregenual anterior cingulate cortex, anterior midcingulate cortex, and dorsal posterior cingulate cortex) as major hubs anchoring multiple large-scale brain networks. We begin with a review of evidence from intrinsic functional connectivity and diffusion tensor imaging studies to show how connections within and between cingulate-centered networks contribute to processing and integrating signals related to autonomic, affective, executive, and memory functions. We then consider how variability in cingulate-centered networks could contribute to a range of aging outcomes, including typical aging and unusually successful aging (dubbed "superaging"), as well as early neurodegenerative dementias, including frontotemporal dementia and Alzheimer's disease.
    MeSH term(s) Aging/physiology ; Gyrus Cinguli/physiology ; Healthy Aging/physiology ; Humans ; Nerve Net/physiology ; Neurodegenerative Diseases/physiopathology
    Language English
    Publishing date 2019-11-15
    Publishing country Netherlands
    Document type Journal Article ; Review
    ISSN 0072-9752
    ISSN 0072-9752
    DOI 10.1016/B978-0-444-64196-0.00008-X
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  6. Article ; Online: Tau and the fractionated default mode network in atypical Alzheimer's disease.

    Putcha, Deepti / Eckbo, Ryan / Katsumi, Yuta / Dickerson, Bradford C / Touroutoglou, Alexandra / Collins, Jessica A

    Brain communications

    2022  Volume 4, Issue 2, Page(s) fcac055

    Abstract: Alzheimer's disease-related atrophy in the posterior cingulate cortex, a key node of the default mode network, is present in the early stages of disease progression across clinical phenotypic variants of the disease. In the typical amnestic variant, ... ...

    Abstract Alzheimer's disease-related atrophy in the posterior cingulate cortex, a key node of the default mode network, is present in the early stages of disease progression across clinical phenotypic variants of the disease. In the typical amnestic variant, posterior cingulate cortex neuropathology has been linked with disrupted connectivity of the posterior default mode network, but it remains unclear if this relationship is observed across atypical variants of Alzheimer's disease. In the present study, we first sought to determine if tau pathology is consistently present in the posterior cingulate cortex and other posterior nodes of the default mode network across the atypical Alzheimer's disease syndromic spectrum. Second, we examined functional connectivity disruptions within the default mode network and sought to determine if tau pathology is related to functional disconnection within this network. We studied a sample of 25 amyloid-positive atypical Alzheimer's disease participants examined with high-resolution MRI, tau (
    Language English
    Publishing date 2022-03-09
    Publishing country England
    Document type Journal Article
    ISSN 2632-1297
    ISSN (online) 2632-1297
    DOI 10.1093/braincomms/fcac055
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  7. Article: Using Generative Artificial Intelligence to Classify Primary Progressive Aphasia from Connected Speech.

    Rezaii, Neguine / Quimby, Megan / Wong, Bonnie / Hochberg, Daisy / Brickhouse, Michael / Touroutoglou, Alexandra / Dickerson, Bradford C / Wolff, Phillip

    medRxiv : the preprint server for health sciences

    2023  

    Abstract: Neurodegenerative dementia syndromes, such as Primary Progressive Aphasias (PPA), have traditionally been diagnosed based in part on verbal and nonverbal cognitive profiles. Debate continues about whether PPA is best subdivided into three variants and ... ...

    Abstract Neurodegenerative dementia syndromes, such as Primary Progressive Aphasias (PPA), have traditionally been diagnosed based in part on verbal and nonverbal cognitive profiles. Debate continues about whether PPA is best subdivided into three variants and also regarding the most distinctive linguistic features for classifying PPA variants. In this study, we harnessed the capabilities of artificial intelligence (AI) and natural language processing (NLP) to first perform unsupervised classification of concise, connected speech samples from 78 PPA patients. Large Language Models discerned three distinct PPA clusters, with 88.5% agreement with independent clinical diagnoses. Patterns of cortical atrophy of three data-driven clusters corresponded to the localization in the clinical diagnostic criteria. We then used NLP to identify linguistic features that best dissociate the three PPA variants. Seventeen features emerged as most valuable for this purpose, including the observation that separating verbs into high and low-frequency types significantly improves classification accuracy. Using these linguistic features derived from the analysis of brief connected speech samples, we developed a classifier that achieved 97.9% accuracy in predicting PPA subtypes and healthy controls. Our findings provide pivotal insights for refining early-stage dementia diagnosis, deepening our understanding of the characteristics of these neurodegenerative phenotypes and the neurobiology of language processing, and enhancing diagnostic evaluation accuracy.
    Language English
    Publishing date 2023-12-26
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.12.22.23300470
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Atrophy in behavioural variant frontotemporal dementia spans multiple large-scale prefrontal and temporal networks.

    Eldaief, Mark C / Brickhouse, Michael / Katsumi, Yuta / Rosen, Howard / Carvalho, Nicole / Touroutoglou, Alexandra / Dickerson, Bradford C

    Brain : a journal of neurology

    2023  Volume 146, Issue 11, Page(s) 4476–4485

    Abstract: The identification of a neurodegenerative disorder's distributed pattern of atrophy-or atrophy 'signature'-can lend insights into the cortical networks that degenerate in individuals with specific constellations of symptoms. In addition, this signature ... ...

    Abstract The identification of a neurodegenerative disorder's distributed pattern of atrophy-or atrophy 'signature'-can lend insights into the cortical networks that degenerate in individuals with specific constellations of symptoms. In addition, this signature can be used as a biomarker to support early diagnoses and to potentially reveal pathological changes associated with said disorder. Here, we characterized the cortical atrophy signature of behavioural variant frontotemporal dementia (bvFTD). We used a data-driven approach to estimate cortical thickness using surface-based analyses in two independent, sporadic bvFTD samples (n = 30 and n = 71, total n = 101), using age- and gender-matched cognitively and behaviourally normal individuals. We found highly similar patterns of cortical atrophy across the two independent samples, supporting the reliability of our bvFTD signature. Next, we investigated whether our bvFTD signature targets specific large-scale cortical networks, as is the case for other neurodegenerative disorders. We specifically asked whether the bvFTD signature topographically overlaps with the salience network, as previous reports have suggested. We hypothesized that because phenotypic presentations of bvFTD are diverse, this would not be the case, and that the signature would cross canonical network boundaries. Consistent with our hypothesis, the bvFTD signature spanned rostral portions of multiple networks, including the default mode, limbic, frontoparietal control and salience networks. We then tested whether the signature comprised multiple anatomical subtypes, which themselves overlapped with specific networks. To explore this, we performed a hierarchical clustering analysis. This yielded three clusters, only one of which extensively overlapped with a canonical network (the limbic network). Taken together, these findings argue against the hypothesis that the salience network is preferentially affected in bvFTD, but rather suggest that-at least in patients who meet diagnostic criteria for the full-blown syndrome-neurodegeneration in bvFTD encompasses a distributed set of prefrontal, insular and anterior temporal nodes of multiple large-scale brain networks, in keeping with the phenotypic diversity of this disorder.
    MeSH term(s) Humans ; Frontotemporal Dementia/pathology ; Reproducibility of Results ; Magnetic Resonance Imaging ; Brain/pathology ; Atrophy/pathology
    Language English
    Publishing date 2023-05-19
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 80072-7
    ISSN 1460-2156 ; 0006-8950
    ISSN (online) 1460-2156
    ISSN 0006-8950
    DOI 10.1093/brain/awad167
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    Ui II Zs.26: Show issues Location:
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  9. Article: Default mode network tau predicts future clinical decline in atypical early Alzheimer's disease.

    Katsumi, Yuta / Howe, Inola A / Eckbo, Ryan / Wong, Bonnie / Quimby, Megan / Hochberg, Daisy / McGinnis, Scott M / Putcha, Deepti / Wolk, David A / Touroutoglou, Alexandra / Dickerson, Bradford C

    medRxiv : the preprint server for health sciences

    2024  

    Abstract: Identifying individuals with early stage Alzheimer's disease (AD) at greater risk of steeper clinical decline would allow professionals and loved ones to make better-informed medical, support, and life planning decisions. Despite accumulating evidence on ...

    Abstract Identifying individuals with early stage Alzheimer's disease (AD) at greater risk of steeper clinical decline would allow professionals and loved ones to make better-informed medical, support, and life planning decisions. Despite accumulating evidence on the clinical prognostic value of tau PET in typical late-onset amnestic AD, its utility in predicting clinical decline in individuals with atypical forms of AD remains unclear. In this study, we examined the relationship between baseline tau PET signal and the rate of subsequent clinical decline in a sample of 48 A
    Language English
    Publishing date 2024-04-19
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.04.17.24305620
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  10. Article ; Online: Greater Neural Differentiation in the Ventral Visual Cortex Is Associated with Youthful Memory in Superaging.

    Katsumi, Yuta / Andreano, Joseph M / Barrett, Lisa Feldman / Dickerson, Bradford C / Touroutoglou, Alexandra

    Cerebral cortex (New York, N.Y. : 1991)

    2021  Volume 31, Issue 11, Page(s) 5275–5287

    Abstract: Superagers are older adults who maintain youthful memory despite advanced age. Previous studies showed that superagers exhibit greater structural and intrinsic functional brain integrity, which contribute to their youthful memory. However, no studies, to ...

    Abstract Superagers are older adults who maintain youthful memory despite advanced age. Previous studies showed that superagers exhibit greater structural and intrinsic functional brain integrity, which contribute to their youthful memory. However, no studies, to date, have examined brain activity as superagers learn and remember novel information. Here, we analyzed functional magnetic resonance imaging data collected from 41 young and 40 older adults while they performed a paired associate visual recognition memory task. Superaging was defined as youthful performance on the long delay free recall of the California Verbal Learning Test. We assessed the fidelity of neural representations as participants encoded and later retrieved a series of word stimuli paired with a face or a scene image. Superagers, like young adults, exhibited more distinct neural representations in the fusiform gyrus and parahippocampal gyrus while viewing visual stimuli belonging to different categories (greater neural differentiation) and more similar category representations between encoding and retrieval (greater neural reinstatement), compared with typical older adults. Greater neural differentiation and reinstatement were associated with superior memory performance in all older adults. Given that the fidelity of cortical sensory processing depends on neural plasticity and is trainable, these mechanisms may be potential biomarkers for future interventions to promote successful aging.
    MeSH term(s) Aged ; Brain Mapping ; Humans ; Magnetic Resonance Imaging ; Memory ; Mental Recall ; Recognition, Psychology ; Visual Cortex/diagnostic imaging ; Young Adult
    Language English
    Publishing date 2021-06-25
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1077450-6
    ISSN 1460-2199 ; 1047-3211
    ISSN (online) 1460-2199
    ISSN 1047-3211
    DOI 10.1093/cercor/bhab157
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 3235: Show issues Location:
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