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  1. Article ; Online: Diagnosis of multiple sclerosis through the lens of ultra-high-field MRI.

    Sati, Pascal

    Journal of magnetic resonance (San Diego, Calif. : 1997)

    2018  Volume 291, Page(s) 101–109

    Abstract: The long-standing relationship between ultra-high-field (7 T) MRI and multiple sclerosis (MS) has brought new insights to our understanding of lesion evolution and its associated pathology. With the recent FDA approval of a commercially available scanner, ...

    Abstract The long-standing relationship between ultra-high-field (7 T) MRI and multiple sclerosis (MS) has brought new insights to our understanding of lesion evolution and its associated pathology. With the recent FDA approval of a commercially available scanner, 7 T MRI is finally entering the clinic with great expectations about its potential added value. By looking through the prism of MS diagnosis, this perspective article discusses current limitations and prospects of 7 T MRI techniques relevant to helping clinicians diagnose patients encountered in daily practice.
    MeSH term(s) Cerebral Cortex/diagnostic imaging ; Electromagnetic Fields ; Humans ; Magnetic Resonance Imaging/methods ; Multiple Sclerosis/diagnostic imaging ; Reproducibility of Results
    Language English
    Publishing date 2018-04-26
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Intramural ; Review
    ZDB-ID 1469665-4
    ISSN 1096-0856 ; 1557-8968 ; 1090-7807 ; 0022-2364
    ISSN (online) 1096-0856 ; 1557-8968
    ISSN 1090-7807 ; 0022-2364
    DOI 10.1016/j.jmr.2018.01.022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: The Brain's First "Traffic Map" through Unified Structural and Functional Connectivity (USFC) Modeling.

    Silemek, Arzu Has / Chen, Haitao / Sati, Pascal / Gao, Wei

    Research square

    2024  

    Abstract: The brain's white matter connections are thought to provide the structural basis for its functional connections between distant brain regions but how our brain selects the best structural routes for effective functional communications remains poorly ... ...

    Abstract The brain's white matter connections are thought to provide the structural basis for its functional connections between distant brain regions but how our brain selects the best structural routes for effective functional communications remains poorly understood. In this study, we propose a Unified Structural and Functional Connectivity (USFC) model and use an "economical assumption" to create the brain's first "traffic map" reflecting how frequently each structural connection segment of the brain is used to achieve the global functional communication system. The resulting USFC map highlights regions in the subcortical, default-mode, and salience networks as the most heavily traversed nodes and a midline frontal-caudate-thalamus-posterior cingulate-visual cortex corridor as the backbone of the whole brain connectivity system. Our results further revealed a striking negative association between structural and functional connectivity strengths in routes supporting negative functional connections as well as much higher efficiency metrics in the USFC connectome when compared to structural and functional ones alone. Overall, the proposed USFC model opens up a new window for effective brain connectome modeling and provides a considerable leap forward in brain mapping efforts for a better understanding of the brain's fundamental communication mechanisms.
    Language English
    Publishing date 2024-04-19
    Publishing country United States
    Document type Preprint
    DOI 10.21203/rs.3.rs-4184305/v1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Incorporating the Central Vein Sign Into the Diagnostic Criteria for Multiple Sclerosis.

    Ontaneda, Daniel / Cohen, Jeffrey A / Sati, Pascal

    JAMA neurology

    2023  Volume 80, Issue 7, Page(s) 657–658

    MeSH term(s) Humans ; Multiple Sclerosis/diagnostic imaging ; Veins ; Magnetic Resonance Imaging
    Language English
    Publishing date 2023-04-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2702023-X
    ISSN 2168-6157 ; 2168-6149
    ISSN (online) 2168-6157
    ISSN 2168-6149
    DOI 10.1001/jamaneurol.2023.0717
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    Ui II Zs.191: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: 7 Tesla MRI will soon be helpful to guide clinical practice in multiple sclerosis centers - Commentary.

    Sati, Pascal / Reich, Daniel S

    Multiple sclerosis (Houndmills, Basingstoke, England)

    2021  Volume 27, Issue 3, Page(s) 364–365

    MeSH term(s) Brain ; Humans ; Magnetic Resonance Imaging ; Multiple Sclerosis/diagnostic imaging
    Language English
    Publishing date 2021-01-06
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Intramural ; Comment
    ZDB-ID 1290669-4
    ISSN 1477-0970 ; 1352-4585
    ISSN (online) 1477-0970
    ISSN 1352-4585
    DOI 10.1177/1352458520981738
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 4428: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Detection of central vein should be part of MS diagnostic criteria - Commentary.

    Oh, Jiwon / Sati, Pascal

    Multiple sclerosis (Houndmills, Basingstoke, England)

    2020  Volume 26, Issue 4, Page(s) 409–410

    MeSH term(s) Magnetic Resonance Imaging ; Veins
    Language English
    Publishing date 2020-03-03
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 1290669-4
    ISSN 1477-0970 ; 1352-4585
    ISSN (online) 1477-0970
    ISSN 1352-4585
    DOI 10.1177/1352458520905759
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 4428: 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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  6. Article: Rapid MR Susceptibility Imaging of the Brain Using Segmented 3D Echo-Planar Imaging3 (3D EPI) and its Clinical Applications

    Sati, Pascal

    Magnetom flash

    2017  Volume -, Issue 2 = Nr. 68 ISMRM Ed., Page(s) 26

    Language English
    Document type Article
    ZDB-ID 2465783-9
    Database Current Contents Medicine

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6925: Show issues Location:
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  7. Article ; Online: From pathology to MRI and back: Clinically relevant biomarkers of multiple sclerosis lesions.

    Kolb, Hadar / Al-Louzi, Omar / Beck, Erin S / Sati, Pascal / Absinta, Martina / Reich, Daniel S

    NeuroImage. Clinical

    2022  Volume 36, Page(s) 103194

    Abstract: Focal lesions in both white and gray matter are characteristic of multiple sclerosis (MS). Histopathological studies have helped define the main underlying pathological processes involved in lesion formation and evolution, serving as a gold standard for ... ...

    Abstract Focal lesions in both white and gray matter are characteristic of multiple sclerosis (MS). Histopathological studies have helped define the main underlying pathological processes involved in lesion formation and evolution, serving as a gold standard for many years. However, histopathology suffers from an intrinsic bias resulting from over-reliance on tissue samples from late stages of the disease or atypical cases and is inadequate for routine patient assessment. Pathological-radiological correlative studies have established advanced MRI's sensitivity to several relevant MS-pathological substrates and its practicality for assessing dynamic changes and following lesions over time. This review focuses on novel imaging techniques that serve as biomarkers of critical pathological substrates of MS lesions: the central vein, chronic inflammation, remyelination and repair, and cortical lesions. For each pathological process, we address the correlative value of MRI to MS pathology, its contribution in elucidating MS pathology in vivo, and the clinical utility of the imaging biomarker.
    Language English
    Publishing date 2022-09-14
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2701571-3
    ISSN 2213-1582 ; 2213-1582
    ISSN (online) 2213-1582
    ISSN 2213-1582
    DOI 10.1016/j.nicl.2022.103194
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  8. Article ; Online: Choroid plexus volume differentiates MS from its mimics.

    Levit, Elle / Ren, Zheng / Gonzenbach, Virgilio / Azevedo, Christina J / Calabresi, Peter A / Cree, Bruce Ac / Freeman, Leorah / Longbrake, Erin E / Oh, Jiwon / Schindler, Matthew K / Sicotte, Nancy L / Reich, Daniel S / Ontaneda, Daniel / Sati, Pascal / Cao, Quy / Shinohara, Russell T / Solomon, Andrew J

    Multiple sclerosis (Houndmills, Basingstoke, England)

    2024  , Page(s) 13524585241238094

    Abstract: This study aimed to determine whether choroid plexus volume (CPV) could differentiate multiple sclerosis (MS) from its mimics. A secondary analysis of two previously enrolled studies, 50 participants with MS and 64 with alternative diagnoses were ... ...

    Abstract This study aimed to determine whether choroid plexus volume (CPV) could differentiate multiple sclerosis (MS) from its mimics. A secondary analysis of two previously enrolled studies, 50 participants with MS and 64 with alternative diagnoses were included. CPV was automatically segmented from 3T magnetic resonance imaging (MRI), followed by manual review to remove misclassified tissue. Mean normalized choroid plexus volume (nCPV) to intracranial volume demonstrated relatively high specificity for MS participants in each cohort (0.80 and 0.76) with an area under the receiver-operator characteristic curve of 0.71 (95% confidence interval (CI) = 0.55-0.87) and 0.65 (95% CI = 0.52-0.77). In this preliminary study, nCPV differentiated MS from its mimics.
    Language English
    Publishing date 2024-03-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 1290669-4
    ISSN 1477-0970 ; 1352-4585
    ISSN (online) 1477-0970
    ISSN 1352-4585
    DOI 10.1177/13524585241238094
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    Zs.A 4428: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  9. Article ; Online: Direct synthesis of multi-contrast brain MR images from MR multitasking spatial factors using deep learning.

    Qiu, Shihan / Ma, Sen / Wang, Lixia / Chen, Yuhua / Fan, Zhaoyang / Moser, Franklin G / Maya, Marcel / Sati, Pascal / Sicotte, Nancy L / Christodoulou, Anthony G / Xie, Yibin / Li, Debiao

    Magnetic resonance in medicine

    2023  Volume 90, Issue 4, Page(s) 1672–1681

    Abstract: Purpose: To develop a deep learning method to synthesize conventional contrast-weighted images in the brain from MR multitasking spatial factors.: Methods: Eighteen subjects were imaged using a whole-brain quantitative T: Results: The deep- ... ...

    Abstract Purpose: To develop a deep learning method to synthesize conventional contrast-weighted images in the brain from MR multitasking spatial factors.
    Methods: Eighteen subjects were imaged using a whole-brain quantitative T
    Results: The deep-learning synthetic images showed comparable contrasts of brain tissues with the reference images from true acquisitions and were substantially better than the Bloch-equation-based synthesis results. Averaging on the three contrasts, the deep learning synthesis achieved normalized root mean square error = 0.184 ± 0.075, peak SNR = 28.14 ± 2.51, and structural-similarity index = 0.918 ± 0.034, which were significantly better than Bloch-equation-based synthesis (p < 0.05). Radiologists' rating results show that compared with true acquisitions, deep learning synthesis had no notable quality degradation and was better than Bloch-equation-based synthesis.
    Conclusion: A deep learning technique was developed to synthesize conventional weighted images from MR multitasking spatial factors in the brain, enabling the simultaneous acquisition of multiparametric quantitative maps and clinical contrast-weighted images in a single scan.
    MeSH term(s) Humans ; Deep Learning ; Brain/diagnostic imaging ; Magnetic Resonance Imaging/methods ; Neural Networks, Computer ; Image Processing, Computer-Assisted/methods
    Language English
    Publishing date 2023-05-28
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 605774-3
    ISSN 1522-2594 ; 0740-3194
    ISSN (online) 1522-2594
    ISSN 0740-3194
    DOI 10.1002/mrm.29715
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    Zs.A 1959: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  10. Article: A 4D transcriptomic map for the evolution of multiple sclerosis-like lesions in the marmoset brain.

    Lin, Jing-Ping / Brake, Alexis / Donadieu, Maxime / Lee, Amanda / Kawaguchi, Riki / Sati, Pascal / Geschwind, Daniel H / Jacobson, Steven / Schafer, Dorothy P / Reich, Daniel S

    bioRxiv : the preprint server for biology

    2023  

    Abstract: Single-time-point histopathological studies on postmortem multiple sclerosis (MS) tissue fail to capture lesion evolution dynamics, posing challenges for therapy development targeting development and repair of focal inflammatory demyelination. To close ... ...

    Abstract Single-time-point histopathological studies on postmortem multiple sclerosis (MS) tissue fail to capture lesion evolution dynamics, posing challenges for therapy development targeting development and repair of focal inflammatory demyelination. To close this gap, we studied experimental autoimmune encephalitis (EAE) in the common marmoset, the most faithful animal model of these processes. Using MRI-informed RNA profiling, we analyzed ~600,000 single-nucleus and ~55,000 spatial transcriptomes, comparing them against EAE inoculation status, longitudinal radiological signals, and histopathological features. We categorized 5 groups of microenvironments pertinent to neural function, immune and glial responses, tissue destruction and repair, and regulatory network at brain borders. Exploring perilesional microenvironment diversity, we uncovered central roles of EAE-associated astrocytes, oligodendrocyte precursor cells, and ependyma in lesion formation and resolution. We pinpointed imaging and molecular features capturing the pathological trajectory of WM, offering potential for assessing treatment outcomes using marmoset as a platform.
    Language English
    Publishing date 2023-09-27
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.09.25.559371
    Database MEDical Literature Analysis and Retrieval System OnLINE

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