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  1. AU="Frizzell, Tory O"
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  1. Article ; Online: Artificial intelligence in brain MRI analysis of Alzheimer's disease over the past 12 years: A systematic review.

    Frizzell, Tory O / Glashutter, Margit / Liu, Careesa C / Zeng, An / Pan, Dan / Hajra, Sujoy Ghosh / D'Arcy, Ryan C N / Song, Xiaowei

    Ageing research reviews

    2022  Volume 77, Page(s) 101614

    Abstract: Introduction: Multiple structural brain changes in Alzheimer's disease (AD) and mild cognitive impairment (MCI) have been revealed on magnetic resonance imaging (MRI). There is a fast-growing effort in applying artificial intelligence (AI) to analyze ... ...

    Abstract Introduction: Multiple structural brain changes in Alzheimer's disease (AD) and mild cognitive impairment (MCI) have been revealed on magnetic resonance imaging (MRI). There is a fast-growing effort in applying artificial intelligence (AI) to analyze these data. Here, we review and evaluate the AI studies in brain MRI analysis with synthesis.
    Methods: A systematic review of the literature, spanning the years from 2009 to 2020, was completed using the PubMed database. AI studies using MRI imaging to investigate normal aging, mild cognitive impairment, and AD-dementia were retrieved for review. Bias assessment was completed using the PROBAST criteria.
    Results: 97 relevant studies were included in the review. The studies were typically focused on the classification of AD, MCI, and normal aging (71% of the reported studies) and the prediction of MCI conversion to AD (25%). The best performance was achieved by using the deep learning-based convolution neural network algorithms (weighted average accuracy 89%), in contrast to 76-86% using Logistic Regression, Support Vector Machines, and other AI methods.
    Discussion: The synthesized evidence is paramount to developing sophisticated AI approaches to reliably capture and quantify multiple subtle MRI changes in the whole brain that exemplify the complexity and heterogeneity of AD and brain aging.
    MeSH term(s) Alzheimer Disease/diagnostic imaging ; Artificial Intelligence ; Brain/diagnostic imaging ; Cognitive Dysfunction/diagnostic imaging ; Humans ; Magnetic Resonance Imaging/methods
    Language English
    Publishing date 2022-03-28
    Publishing country England
    Document type Journal Article ; Review ; Systematic Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2075672-0
    ISSN 1872-9649 ; 1568-1637
    ISSN (online) 1872-9649
    ISSN 1568-1637
    DOI 10.1016/j.arr.2022.101614
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5579: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Increased myelination plays a central role in white matter neuroplasticity.

    Kirby, Eric D / Frizzell, Tory O / Grajauskas, Lukas A / Song, Xiaowei / Gawryluk, Jodie R / Lakhani, Bimal / Boyd, Lara / D'Arcy, Ryan C N

    NeuroImage

    2022  Volume 263, Page(s) 119644

    Abstract: White matter (WM) neuroplasticity in the human brain has been tracked non-invasively using advanced magnetic resonance imaging techniques, with increasing evidence for improved axonal transmission efficiency as a central mechanism. The current study is ... ...

    Abstract White matter (WM) neuroplasticity in the human brain has been tracked non-invasively using advanced magnetic resonance imaging techniques, with increasing evidence for improved axonal transmission efficiency as a central mechanism. The current study is the culmination of a series of studies, which characterized the structure-function relationship of WM transmission efficiency in the cortico-spinal tract (CST) during motor learning. Here, we test the hypothesis that increased transmission efficiency is linked directly to increased myelination using myelin water imaging (MWI). MWI was used to evaluate neuroplasticity-related improvements in the CST. The MWI findings were then compared to diffusion tensor imaging (DTI) results, with the secondary hypothesis that radial diffusivity (RD) would have a stronger relationship than axial diffusivity (AD) if the changes were due to increased myelination. Both MWI and RD data showed the predicted pattern of significant results, strongly supporting that increased myelination plays a central role in WM neuroplasticity.
    MeSH term(s) Humans ; White Matter/diagnostic imaging ; White Matter/pathology ; Diffusion Tensor Imaging/methods ; Brain/diagnostic imaging ; Diffusion Magnetic Resonance Imaging ; Magnetic Resonance Imaging ; Water
    Chemical Substances Water (059QF0KO0R)
    Language English
    Publishing date 2022-09-25
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1147767-2
    ISSN 1095-9572 ; 1053-8119
    ISSN (online) 1095-9572
    ISSN 1053-8119
    DOI 10.1016/j.neuroimage.2022.119644
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3664: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 7: Show issues

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  3. Article ; Online: Imaging functional neuroplasticity in human white matter tracts.

    Frizzell, Tory O / Phull, Elisha / Khan, Mishaa / Song, Xiaowei / Grajauskas, Lukas A / Gawryluk, Jodie / D'Arcy, Ryan C N

    Brain structure & function

    2021  Volume 227, Issue 1, Page(s) 381–392

    Abstract: Magnetic resonance imaging (MRI) studies are sensitive to biological mechanisms of neuroplasticity in white matter (WM). In particular, diffusion tensor imaging (DTI) has been used to investigate structural changes. Historically, functional MRI (fMRI) ... ...

    Abstract Magnetic resonance imaging (MRI) studies are sensitive to biological mechanisms of neuroplasticity in white matter (WM). In particular, diffusion tensor imaging (DTI) has been used to investigate structural changes. Historically, functional MRI (fMRI) neuroplasticity studies have been restricted to gray matter, as fMRI studies have only recently expanded to WM. The current study evaluated WM neuroplasticity pre-post motor training in healthy adults, focusing on motor learning in the non-dominant hand. Neuroplasticity changes were evaluated in two established WM regions-of-interest: the internal capsule and the corpus callosum. Behavioral improvements following training were greater for the non-dominant hand, which corresponded with MRI-based neuroplasticity changes in the internal capsule for DTI fractional anisotropy, fMRI hemodynamic response functions, and low-frequency oscillations (LFOs). In the corpus callosum, MRI-based neuroplasticity changes were detected in LFOs, DTI, and functional correlation tensors (FCT). Taken together, the LFO results converged as significant amplitude reductions, implicating a common underlying mechanism of optimized transmission through altered myelination. The structural and functional neuroplasticity findings open new avenues for direct WM investigations into mapping connectomes and advancing MRI clinical applications.
    MeSH term(s) Corpus Callosum ; Diffusion Tensor Imaging ; Humans ; Magnetic Resonance Imaging ; Neuronal Plasticity ; White Matter/diagnostic imaging
    Language English
    Publishing date 2021-11-23
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2273162-3
    ISSN 1863-2661 ; 1863-2653
    ISSN (online) 1863-2661
    ISSN 1863-2653
    DOI 10.1007/s00429-021-02407-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    ab Jg. 2022: Lesesaal (EG)

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  4. Article: White Matter Neuroplasticity: Motor Learning Activates the Internal Capsule and Reduces Hemodynamic Response Variability.

    Frizzell, Tory O / Grajauskas, Lukas A / Liu, Careesa C / Ghosh Hajra, Sujoy / Song, Xiaowei / D'Arcy, Ryan C N

    Frontiers in human neuroscience

    2020  Volume 14, Page(s) 509258

    Abstract: Numerous studies have noted the importance of white matter changes in motor learning, but existing literature only focuses on structural and microstructural MRI changes, as there are limited tools available ... ...

    Abstract Numerous studies have noted the importance of white matter changes in motor learning, but existing literature only focuses on structural and microstructural MRI changes, as there are limited tools available for
    Language English
    Publishing date 2020-10-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2425477-0
    ISSN 1662-5161
    ISSN 1662-5161
    DOI 10.3389/fnhum.2020.509258
    Database MEDical Literature Analysis and Retrieval System OnLINE

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