Diffuse nuclear Overhauser effect MRI contrast changes detected in multiple sclerosis subjects at 7T
Multiple sclerosis is an inflammatory demyelinating condition of the central nervous system affecting approximately 1 million people in the USA. Although standard structural MRI techniques are now the main imaging modality for multiple sclerosis diagnosis and management, they are yet to provide info...
Saved in:
Published in | Brain communications Vol. 7; no. 1; p. fcaf043 |
---|---|
Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
2025
|
Subjects | |
Online Access | Get full text |
ISSN | 2632-1297 2632-1297 |
DOI | 10.1093/braincomms/fcaf043 |
Cover
Loading…
Abstract | Multiple sclerosis is an inflammatory demyelinating condition of the central nervous system affecting approximately 1 million people in the USA. Although standard structural MRI techniques are now the main imaging modality for multiple sclerosis diagnosis and management, they are yet to provide information regarding the metabolic profile of the disease. Ultra-high field 7T MRI systems have provided gains in signal-to-noise ratio (SNR) and spatial resolution for structural MRI as well as larger chemical shifts leading to improvements in specialized imaging sequences, such as nuclear Overhauser effect (NOE) imaging, that can evaluate macromolecular metabolite composition. In this work, NOE images were acquired on a cohort of multiple sclerosis and healthy control subjects to spatially map differences in their lipid metabolites as a result of NOE effects. NOE image data were acquired on a total of 25 subjects {15 multiple sclerosis subjects [10 females, 5 males (21–70 years)] and 10 healthy controls [5 females, 5 males (23–71 years)]} on a 7T MRI system with a frequency offset range of −5 to 5 ppm. A five-pool Lorentzian line fitting model was utilized to fit and quantitatively compare direct saturation (DS), magnetization transfer (MT), amide proton transfer (APT), amine, and relayed NOE (rNOE) and used as a comparison to conventional T1 maps. Grey and white matter tissues were segmented using the T1 maps, while the lesion tissue was segmented manually. Correlations between disease duration and lesion load were performed to investigate any existing relationship to image contrast. The primary findings of this work include statistically significant decreases in the rNOE pool for the normal-appearing white matter (NAWM) (11.4% decrease) and normal-appearing grey matter (NAGM) (10.6% decrease) in multiple sclerosis subjects compared to healthy controls. Additionally, a significant decrease in the amine pool was also observed for NAWM (15.3% decrease) in multiple sclerosis subjects compared to healthy controls. Changes in multiple sclerosis lesion contrast were also observed for several pools (DS, amine, and rNOE). Decreases in both the rNOE and amine pools suggest that in multiple sclerosis, there are diffuse decreases in mobile lipids, such as those found in neuronal cell bodies, as well as a decrease in proteins with amine groups. Furthermore, these measurable contrast changes were not detected in the corresponding T1 maps. NOE imaging can provide complementary metabolic information to conventional MRI methods. Future studies will focus on utilizing this technique for longitudinal tracking of disease progression and investigating similar demyelinating diseases. |
---|---|
AbstractList | Multiple sclerosis is an inflammatory demyelinating condition of the central nervous system affecting approximately 1 million people in the USA. Although standard structural MRI techniques are now the main imaging modality for multiple sclerosis diagnosis and management, they are yet to provide information regarding the metabolic profile of the disease. Ultra-high field 7T MRI systems have provided gains in signal-to-noise ratio (SNR) and spatial resolution for structural MRI as well as larger chemical shifts leading to improvements in specialized imaging sequences, such as nuclear Overhauser effect (NOE) imaging, that can evaluate macromolecular metabolite composition. In this work, NOE images were acquired on a cohort of multiple sclerosis and healthy control subjects to spatially map differences in their lipid metabolites as a result of NOE effects. NOE image data were acquired on a total of 25 subjects {15 multiple sclerosis subjects [10 females, 5 males (21–70 years)] and 10 healthy controls [5 females, 5 males (23–71 years)]} on a 7T MRI system with a frequency offset range of −5 to 5 ppm. A five-pool Lorentzian line fitting model was utilized to fit and quantitatively compare direct saturation (DS), magnetization transfer (MT), amide proton transfer (APT), amine, and relayed NOE (rNOE) and used as a comparison to conventional T
1
maps. Grey and white matter tissues were segmented using the T
1
maps, while the lesion tissue was segmented manually. Correlations between disease duration and lesion load were performed to investigate any existing relationship to image contrast. The primary findings of this work include statistically significant decreases in the rNOE pool for the normal-appearing white matter (NAWM) (11.4% decrease) and normal-appearing grey matter (NAGM) (10.6% decrease) in multiple sclerosis subjects compared to healthy controls. Additionally, a significant decrease in the amine pool was also observed for NAWM (15.3% decrease) in multiple sclerosis subjects compared to healthy controls. Changes in multiple sclerosis lesion contrast were also observed for several pools (DS, amine, and rNOE). Decreases in both the rNOE and amine pools suggest that in multiple sclerosis, there are diffuse decreases in mobile lipids, such as those found in neuronal cell bodies, as well as a decrease in proteins with amine groups. Furthermore, these measurable contrast changes were not detected in the corresponding T
1
maps. NOE imaging can provide complementary metabolic information to conventional MRI methods. Future studies will focus on utilizing this technique for longitudinal tracking of disease progression and investigating similar demyelinating diseases.
Metabolic MRI was performed at an ultra-high field to evaluate nuclear Overhauser effect lipid metabolite content in a cohort of multiple sclerosis subjects. Jacobs
et al
. report metabolite decreases in pathological white and grey matter. These diffuse decreases in mobile lipids and proteins suggest a potential metric for global tissue injury.
graphical abstract Multiple sclerosis is an inflammatory demyelinating condition of the central nervous system affecting approximately 1 million people in the USA. Although standard structural MRI techniques are now the main imaging modality for multiple sclerosis diagnosis and management, they are yet to provide information regarding the metabolic profile of the disease. Ultra-high field 7T MRI systems have provided gains in signal-to-noise ratio (SNR) and spatial resolution for structural MRI as well as larger chemical shifts leading to improvements in specialized imaging sequences, such as nuclear Overhauser effect (NOE) imaging, that can evaluate macromolecular metabolite composition. In this work, NOE images were acquired on a cohort of multiple sclerosis and healthy control subjects to spatially map differences in their lipid metabolites as a result of NOE effects. NOE image data were acquired on a total of 25 subjects {15 multiple sclerosis subjects [10 females, 5 males (21-70 years)] and 10 healthy controls [5 females, 5 males (23-71 years)]} on a 7T MRI system with a frequency offset range of -5 to 5 ppm. A five-pool Lorentzian line fitting model was utilized to fit and quantitatively compare direct saturation (DS), magnetization transfer (MT), amide proton transfer (APT), amine, and relayed NOE (rNOE) and used as a comparison to conventional T maps. Grey and white matter tissues were segmented using the T maps, while the lesion tissue was segmented manually. Correlations between disease duration and lesion load were performed to investigate any existing relationship to image contrast. The primary findings of this work include statistically significant decreases in the rNOE pool for the normal-appearing white matter (NAWM) (11.4% decrease) and normal-appearing grey matter (NAGM) (10.6% decrease) in multiple sclerosis subjects compared to healthy controls. Additionally, a significant decrease in the amine pool was also observed for NAWM (15.3% decrease) in multiple sclerosis subjects compared to healthy controls. Changes in multiple sclerosis lesion contrast were also observed for several pools (DS, amine, and rNOE). Decreases in both the rNOE and amine pools suggest that in multiple sclerosis, there are diffuse decreases in mobile lipids, such as those found in neuronal cell bodies, as well as a decrease in proteins with amine groups. Furthermore, these measurable contrast changes were not detected in the corresponding T maps. NOE imaging can provide complementary metabolic information to conventional MRI methods. Future studies will focus on utilizing this technique for longitudinal tracking of disease progression and investigating similar demyelinating diseases. Multiple sclerosis is an inflammatory demyelinating condition of the central nervous system affecting approximately 1 million people in the USA. Although standard structural MRI techniques are now the main imaging modality for multiple sclerosis diagnosis and management, they are yet to provide information regarding the metabolic profile of the disease. Ultra-high field 7T MRI systems have provided gains in signal-to-noise ratio (SNR) and spatial resolution for structural MRI as well as larger chemical shifts leading to improvements in specialized imaging sequences, such as nuclear Overhauser effect (NOE) imaging, that can evaluate macromolecular metabolite composition. In this work, NOE images were acquired on a cohort of multiple sclerosis and healthy control subjects to spatially map differences in their lipid metabolites as a result of NOE effects. NOE image data were acquired on a total of 25 subjects {15 multiple sclerosis subjects [10 females, 5 males (21-70 years)] and 10 healthy controls [5 females, 5 males (23-71 years)]} on a 7T MRI system with a frequency offset range of -5 to 5 ppm. A five-pool Lorentzian line fitting model was utilized to fit and quantitatively compare direct saturation (DS), magnetization transfer (MT), amide proton transfer (APT), amine, and relayed NOE (rNOE) and used as a comparison to conventional T1 maps. Grey and white matter tissues were segmented using the T1 maps, while the lesion tissue was segmented manually. Correlations between disease duration and lesion load were performed to investigate any existing relationship to image contrast. The primary findings of this work include statistically significant decreases in the rNOE pool for the normal-appearing white matter (NAWM) (11.4% decrease) and normal-appearing grey matter (NAGM) (10.6% decrease) in multiple sclerosis subjects compared to healthy controls. Additionally, a significant decrease in the amine pool was also observed for NAWM (15.3% decrease) in multiple sclerosis subjects compared to healthy controls. Changes in multiple sclerosis lesion contrast were also observed for several pools (DS, amine, and rNOE). Decreases in both the rNOE and amine pools suggest that in multiple sclerosis, there are diffuse decreases in mobile lipids, such as those found in neuronal cell bodies, as well as a decrease in proteins with amine groups. Furthermore, these measurable contrast changes were not detected in the corresponding T1 maps. NOE imaging can provide complementary metabolic information to conventional MRI methods. Future studies will focus on utilizing this technique for longitudinal tracking of disease progression and investigating similar demyelinating diseases.Multiple sclerosis is an inflammatory demyelinating condition of the central nervous system affecting approximately 1 million people in the USA. Although standard structural MRI techniques are now the main imaging modality for multiple sclerosis diagnosis and management, they are yet to provide information regarding the metabolic profile of the disease. Ultra-high field 7T MRI systems have provided gains in signal-to-noise ratio (SNR) and spatial resolution for structural MRI as well as larger chemical shifts leading to improvements in specialized imaging sequences, such as nuclear Overhauser effect (NOE) imaging, that can evaluate macromolecular metabolite composition. In this work, NOE images were acquired on a cohort of multiple sclerosis and healthy control subjects to spatially map differences in their lipid metabolites as a result of NOE effects. NOE image data were acquired on a total of 25 subjects {15 multiple sclerosis subjects [10 females, 5 males (21-70 years)] and 10 healthy controls [5 females, 5 males (23-71 years)]} on a 7T MRI system with a frequency offset range of -5 to 5 ppm. A five-pool Lorentzian line fitting model was utilized to fit and quantitatively compare direct saturation (DS), magnetization transfer (MT), amide proton transfer (APT), amine, and relayed NOE (rNOE) and used as a comparison to conventional T1 maps. Grey and white matter tissues were segmented using the T1 maps, while the lesion tissue was segmented manually. Correlations between disease duration and lesion load were performed to investigate any existing relationship to image contrast. The primary findings of this work include statistically significant decreases in the rNOE pool for the normal-appearing white matter (NAWM) (11.4% decrease) and normal-appearing grey matter (NAGM) (10.6% decrease) in multiple sclerosis subjects compared to healthy controls. Additionally, a significant decrease in the amine pool was also observed for NAWM (15.3% decrease) in multiple sclerosis subjects compared to healthy controls. Changes in multiple sclerosis lesion contrast were also observed for several pools (DS, amine, and rNOE). Decreases in both the rNOE and amine pools suggest that in multiple sclerosis, there are diffuse decreases in mobile lipids, such as those found in neuronal cell bodies, as well as a decrease in proteins with amine groups. Furthermore, these measurable contrast changes were not detected in the corresponding T1 maps. NOE imaging can provide complementary metabolic information to conventional MRI methods. Future studies will focus on utilizing this technique for longitudinal tracking of disease progression and investigating similar demyelinating diseases. Multiple sclerosis is an inflammatory demyelinating condition of the central nervous system affecting approximately 1 million people in the USA. Although standard structural MRI techniques are now the main imaging modality for multiple sclerosis diagnosis and management, they are yet to provide information regarding the metabolic profile of the disease. Ultra-high field 7T MRI systems have provided gains in signal-to-noise ratio (SNR) and spatial resolution for structural MRI as well as larger chemical shifts leading to improvements in specialized imaging sequences, such as nuclear Overhauser effect (NOE) imaging, that can evaluate macromolecular metabolite composition. In this work, NOE images were acquired on a cohort of multiple sclerosis and healthy control subjects to spatially map differences in their lipid metabolites as a result of NOE effects. NOE image data were acquired on a total of 25 subjects {15 multiple sclerosis subjects [10 females, 5 males (21–70 years)] and 10 healthy controls [5 females, 5 males (23–71 years)]} on a 7T MRI system with a frequency offset range of −5 to 5 ppm. A five-pool Lorentzian line fitting model was utilized to fit and quantitatively compare direct saturation (DS), magnetization transfer (MT), amide proton transfer (APT), amine, and relayed NOE (rNOE) and used as a comparison to conventional T1 maps. Grey and white matter tissues were segmented using the T1 maps, while the lesion tissue was segmented manually. Correlations between disease duration and lesion load were performed to investigate any existing relationship to image contrast. The primary findings of this work include statistically significant decreases in the rNOE pool for the normal-appearing white matter (NAWM) (11.4% decrease) and normal-appearing grey matter (NAGM) (10.6% decrease) in multiple sclerosis subjects compared to healthy controls. Additionally, a significant decrease in the amine pool was also observed for NAWM (15.3% decrease) in multiple sclerosis subjects compared to healthy controls. Changes in multiple sclerosis lesion contrast were also observed for several pools (DS, amine, and rNOE). Decreases in both the rNOE and amine pools suggest that in multiple sclerosis, there are diffuse decreases in mobile lipids, such as those found in neuronal cell bodies, as well as a decrease in proteins with amine groups. Furthermore, these measurable contrast changes were not detected in the corresponding T1 maps. NOE imaging can provide complementary metabolic information to conventional MRI methods. Future studies will focus on utilizing this technique for longitudinal tracking of disease progression and investigating similar demyelinating diseases. |
Author | Murphy, Jennifer Orthmann Bar-Or, Amit Swain, Anshuman Jacobs, Paul S Nanga, Ravi Prakash Reddy Seitz, Madeleine Benyard, Blake Reddy, Ravinder Spangler, Bailey Fu, Allen Schindler, Matthew K Wilson, Neil Detre, John Elliott, Mark A Liu, Fang |
Author_xml | – sequence: 1 givenname: Paul S orcidid: 0000-0003-3566-4010 surname: Jacobs fullname: Jacobs, Paul S – sequence: 2 givenname: Anshuman surname: Swain fullname: Swain, Anshuman – sequence: 3 givenname: Neil surname: Wilson fullname: Wilson, Neil – sequence: 4 givenname: Fang surname: Liu fullname: Liu, Fang – sequence: 5 givenname: Blake surname: Benyard fullname: Benyard, Blake – sequence: 6 givenname: Bailey surname: Spangler fullname: Spangler, Bailey – sequence: 7 givenname: Madeleine surname: Seitz fullname: Seitz, Madeleine – sequence: 8 givenname: Allen surname: Fu fullname: Fu, Allen – sequence: 9 givenname: Ravi Prakash Reddy surname: Nanga fullname: Nanga, Ravi Prakash Reddy – sequence: 10 givenname: Mark A surname: Elliott fullname: Elliott, Mark A – sequence: 11 givenname: Amit surname: Bar-Or fullname: Bar-Or, Amit – sequence: 12 givenname: John surname: Detre fullname: Detre, John – sequence: 13 givenname: Jennifer Orthmann surname: Murphy fullname: Murphy, Jennifer Orthmann – sequence: 14 givenname: Matthew K orcidid: 0000-0003-0157-5669 surname: Schindler fullname: Schindler, Matthew K – sequence: 15 givenname: Ravinder orcidid: 0000-0003-4580-2392 surname: Reddy fullname: Reddy, Ravinder |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39980739$$D View this record in MEDLINE/PubMed |
BookMark | eNpVkU9LJDEQxYMo6rrzBTxIjnsZJ-lKJp3TsvhvBUWQ8RzS6YoT6U7PJt2C394MzrruqYp6P14V9b6R_ThEJOSUs3PONCyaZEN0Q9_nhXfWMwF75LhaQjXnlVb7X_ojMsv5hTFWSSFB14fkCLSumQJ9TNrL4P2UkcbJdWgTfXjFtLZlkih6j26k94-31A1xTDaP1K1tfMZMWxyLhi0NkfZTN4ZNhzQXizTkkGmempeiZ2pHqlbfyYG3XcbZrp6Qp-ur1cXv-d3Dze3Fr7u5AynGOXgpnLTCV7LxXAlZQw2uUbVqbOWqhglnGwmce1C8Zb7lWiiHUFjZCgVwQn5--G6mpsfW4fbozmxS6G16M4MN5n8lhrV5Hl4N57VgfCmLw4-dQxr-TJhH04fssOtsxGHKBvhSc6WVWBb07Ouyzy1_f1uA6gNw5Sc5of9EODPbDM2_DM0uQ3gHF06Uwg |
Cites_doi | 10.1259/bjr.20210708 10.3233/BPL-160033 10.3390/metabo10090366 10.1002/mrm.21873 10.1093/brain/awab088 10.1001/jamaneurol.2022.1025 10.1002/nbm.3054 10.1016/j.neuroimage.2017.04.045 10.1177/13524585221110585 10.1146/annurev.neuro.30.051606.094313 10.1016/S1474-4422(22)00289-7 10.1001/jama.2020.26858 10.3389/fendo.2021.639757 10.1007/s11910-007-0036-0 10.1186/s13317-019-0117-5 10.3389/fneur.2022.764690 10.3389/fnagi.2023.1266859 10.1212/WNL.0000000000007035 10.1007/s00415-004-0306-6 10.1093/braincomms/fcac088 10.1002/mrm.29643 10.1016/j.nicl.2023.103349 10.1002/mrm.29600 10.1002/mrm.29739 10.1016/j.bbi.2015.02.010 10.1177/1352458517717808 10.1016/j.amjmed.2020.05.049 10.1016/j.nicl.2021.102867 10.1002/nbm.3283 10.1016/j.neuroimage.2009.11.054 10.1109/TIP.2012.2210725 10.1016/j.neuroimage.2006.01.015 10.3389/fimmu.2018.03116 10.1016/j.neuroimage.2009.10.002 10.1002/mrm.24176 10.1002/mrm.24822 10.1002/nbm.2899 10.1002/nbm.2949 10.1093/brain/awab029 |
ContentType | Journal Article |
Copyright | The Author(s) 2025. Published by Oxford University Press on behalf of the Guarantors of Brain. The Author(s) 2025. Published by Oxford University Press on behalf of the Guarantors of Brain. 2025 |
Copyright_xml | – notice: The Author(s) 2025. Published by Oxford University Press on behalf of the Guarantors of Brain. – notice: The Author(s) 2025. Published by Oxford University Press on behalf of the Guarantors of Brain. 2025 |
DBID | AAYXX CITATION NPM 7X8 5PM |
DOI | 10.1093/braincomms/fcaf043 |
DatabaseName | CrossRef PubMed MEDLINE - Academic PubMed Central (Full Participant titles) |
DatabaseTitle | CrossRef PubMed MEDLINE - Academic |
DatabaseTitleList | PubMed MEDLINE - Academic CrossRef |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 2632-1297 |
ExternalDocumentID | PMC11840165 39980739 10_1093_braincomms_fcaf043 |
Genre | Journal Article |
GrantInformation_xml | – fundername: NIA NIH HHS grantid: RF1 AG087306 – fundername: NIBIB NIH HHS grantid: P41 EB029460 – fundername: ; – fundername: ; grantid: P41EB029460; R01AG063869; RF1AG087306-01 |
GroupedDBID | 0R~ 53G AAFWJ AAPXW AAVAP AAYXX ABEJV ABGNP ABPTD ABXVV AFPKN ALMA_UNASSIGNED_HOLDINGS AMNDL CITATION EBS EMOBN GROUPED_DOAJ KSI M~E OK1 RPM TOX NPM 7X8 5PM |
ID | FETCH-LOGICAL-c354t-3f54c5a4f25bf17458383cb787ba2c2b04cab5311f371d0fd1947ce3f175d4733 |
ISSN | 2632-1297 |
IngestDate | Thu Aug 21 18:28:25 EDT 2025 Fri Jul 11 11:32:19 EDT 2025 Wed Jul 23 01:47:18 EDT 2025 Sun Jul 06 05:03:22 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Keywords | magnetic resonance CEST NOE multiple sclerosis lipid metabolism |
Language | English |
License | https://creativecommons.org/licenses/by/4.0 The Author(s) 2025. Published by Oxford University Press on behalf of the Guarantors of Brain. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c354t-3f54c5a4f25bf17458383cb787ba2c2b04cab5311f371d0fd1947ce3f175d4733 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ORCID | 0000-0003-4580-2392 0000-0003-0157-5669 0000-0003-3566-4010 |
OpenAccessLink | http://dx.doi.org/10.1093/braincomms/fcaf043 |
PMID | 39980739 |
PQID | 3169179746 |
PQPubID | 23479 |
ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_11840165 proquest_miscellaneous_3169179746 pubmed_primary_39980739 crossref_primary_10_1093_braincomms_fcaf043 |
PublicationCentury | 2000 |
PublicationDate | 2025-00-00 |
PublicationDateYYYYMMDD | 2025-01-01 |
PublicationDate_xml | – year: 2025 text: 2025-00-00 |
PublicationDecade | 2020 |
PublicationPlace | England |
PublicationPlace_xml | – name: England – name: UK |
PublicationTitle | Brain communications |
PublicationTitleAlternate | Brain Commun |
PublicationYear | 2025 |
Publisher | Oxford University Press |
Publisher_xml | – name: Oxford University Press |
References | Chen (2025022007380640700_fcaf043-B39) 2023; 37 van Zijl (2025022007380640700_fcaf043-B15) 2018; 168 Teeuwisse (2025022007380640700_fcaf043-B27) 2012; 67 Granziera (2025022007380640700_fcaf043-B38) 2021; 144 Cai (2025022007380640700_fcaf043-B41) 2013; 26 Wallin (2025022007380640700_fcaf043-B2) 2019; 92 Jacobs (2025022007380640700_fcaf043-B26) 2023; 90 Graves (2025022007380640700_fcaf043-B12) 2022; 95 Benyard (2025022007380640700_fcaf043-B24) 2023; 89 Ng (2025022007380640700_fcaf043-B31) Kim (2025022007380640700_fcaf043-B29) 2009; 61 Maggioni (2025022007380640700_fcaf043-B28) 2013; 22 Cagol (2025022007380640700_fcaf043-B36) 2022; 79 York (2025022007380640700_fcaf043-B22) 2022; 4 Lassmann (2025022007380640700_fcaf043-B7) 2018; 9 Lassmann (2025022007380640700_fcaf043-B5) 2007; 7 Pineda-Torra (2025022007380640700_fcaf043-B10) 2021; 12 Trapp (2025022007380640700_fcaf043-B6) 2008; 31 Laule (2025022007380640700_fcaf043-B21) 2004; 251 De Stefano (2025022007380640700_fcaf043-B23) 2018; 24 Tagge (2025022007380640700_fcaf043-B40) 2022; 28 Kuhlmann (2025022007380640700_fcaf043-B4) 2023; 22 Rahmanzadeh (2025022007380640700_fcaf043-B37) 2021; 144 Barthelmes (2025022007380640700_fcaf043-B9) 2015; 46 McGinley (2025022007380640700_fcaf043-B3) 2021; 325 Neumann (2025022007380640700_fcaf043-B35) 2009; 132 O'Grady (2025022007380640700_fcaf043-B20) 2022; 13 Pousinis (2025022007380640700_fcaf043-B8) 2020; 10 Zaiss (2025022007380640700_fcaf043-B18) 2014; 27 Liu (2025022007380640700_fcaf043-B14) 2013; 26 Desmond (2025022007380640700_fcaf043-B17) 2014; 71 MacKay (2025022007380640700_fcaf043-B13) 2016; 2 Volz (2025022007380640700_fcaf043-B30) 2010; 49 Huang (2025022007380640700_fcaf043-B19) 2021; 32 Marques (2025022007380640700_fcaf043-B25) 15 2010; 49 Windschuh (2025022007380640700_fcaf043-B16) 2015; 28 Andravizou (2025022007380640700_fcaf043-B11) 2019; 10 Yushkevich (2025022007380640700_fcaf043-B32) 2006; 31 Zhao (2025022007380640700_fcaf043-B34) 2023; 90 Hauser (2025022007380640700_fcaf043-B1) 2020; 133 Swain (2025022007380640700_fcaf043-B33) 2023; 15 |
References_xml | – volume: 95 start-page: 20210708 issue: 1130 year: 2022 ident: 2025022007380640700_fcaf043-B12 article-title: 3 T: The good, the bad and the ugly publication-title: Br J Radiol doi: 10.1259/bjr.20210708 – volume: 2 start-page: 71 issue: 1 year: 2016 ident: 2025022007380640700_fcaf043-B13 article-title: Magnetic resonance of myelin water: An in vivo marker for myelin publication-title: Brain Plast doi: 10.3233/BPL-160033 – volume: 10 start-page: 366 issue: 9 year: 2020 ident: 2025022007380640700_fcaf043-B8 article-title: Lipidomic UPLC-MS/MS profiles of normal-appearing white matter differentiate primary and secondary progressive multiple sclerosis publication-title: Metabolites doi: 10.3390/metabo10090366 – volume: 61 start-page: 1441 issue: 6 year: 2009 ident: 2025022007380640700_fcaf043-B29 article-title: Water saturation shift referencing (WASSR) for chemical exchange saturation transfer (CEST) experiments publication-title: Magn Reson Med doi: 10.1002/mrm.21873 – volume: 144 start-page: 1684 issue: 6 year: 2021 ident: 2025022007380640700_fcaf043-B37 article-title: Myelin and axon pathology in multiple sclerosis assessed by myelin water and multi-shell diffusion imaging publication-title: Brain doi: 10.1093/brain/awab088 – volume: 79 start-page: 682 issue: 7 year: 2022 ident: 2025022007380640700_fcaf043-B36 article-title: Association of brain atrophy with disease progression independent of relapse activity in patients with relapsing multiple sclerosis publication-title: JAMA Neurol doi: 10.1001/jamaneurol.2022.1025 – volume: 27 start-page: 240 issue: 3 year: 2014 ident: 2025022007380640700_fcaf043-B18 article-title: Inverse Z-spectrum analysis for spillover-, MT-, and T1 -corrected steady-state pulsed CEST-MRI–application to pH-weighted MRI of acute stroke publication-title: NMR Biomed doi: 10.1002/nbm.3054 – volume: 168 start-page: 222 year: 2018 ident: 2025022007380640700_fcaf043-B15 article-title: Magnetization transfer contrast and chemical exchange saturation transfer MRI. Features and analysis of the field-dependent saturation spectrum publication-title: Neuroimage doi: 10.1016/j.neuroimage.2017.04.045 – volume: 28 start-page: 2027 issue: 13 year: 2022 ident: 2025022007380640700_fcaf043-B40 article-title: Permanent tissue damage in multiple sclerosis lesions is associated with reduced pre-lesion myelin and axon volume fractions publication-title: Mult Scler doi: 10.1177/13524585221110585 – volume: 31 start-page: 247 year: 2008 ident: 2025022007380640700_fcaf043-B6 article-title: Multiple sclerosis: An immune or neurodegenerative disorder? publication-title: Annu Rev Neurosci doi: 10.1146/annurev.neuro.30.051606.094313 – volume: 22 start-page: 78 issue: 1 year: 2023 ident: 2025022007380640700_fcaf043-B4 article-title: Multiple sclerosis progression: Time for a new mechanism-driven framework publication-title: Lancet Neurol doi: 10.1016/S1474-4422(22)00289-7 – volume: 325 start-page: 765 issue: 8 year: 2021 ident: 2025022007380640700_fcaf043-B3 article-title: Diagnosis and treatment of multiple sclerosis: A review publication-title: JAMA doi: 10.1001/jama.2020.26858 – volume: 12 start-page: 639757 year: 2021 ident: 2025022007380640700_fcaf043-B10 article-title: Disrupted lipid metabolism in multiple sclerosis: A role for liver X receptors? publication-title: Front Endocrinol (Lausanne) doi: 10.3389/fendo.2021.639757 – volume: 7 start-page: 239 issue: 3 year: 2007 ident: 2025022007380640700_fcaf043-B5 article-title: New concepts on progressive multiple sclerosis publication-title: Curr Neurol Neurosci Rep doi: 10.1007/s11910-007-0036-0 – volume: 10 start-page: 7 issue: 1 year: 2019 ident: 2025022007380640700_fcaf043-B11 article-title: Brain atrophy in multiple sclerosis: Mechanisms, clinical relevance and treatment options publication-title: Auto Immun Highlights doi: 10.1186/s13317-019-0117-5 – volume: 13 start-page: 764690 year: 2022 ident: 2025022007380640700_fcaf043-B20 article-title: Relaxation-Compensated chemical exchange saturation transfer MRI in the brain at 7T: Application in relapsing-remitting multiple sclerosis publication-title: Front Neurol doi: 10.3389/fneur.2022.764690 – volume: 15 start-page: 1266859 year: 2023 ident: 2025022007380640700_fcaf043-B33 article-title: Early-stage mapping of macromolecular content in APP(NL-F) mouse model of Alzheimer's disease using nuclear overhauser effect MRI publication-title: Front Aging Neurosci doi: 10.3389/fnagi.2023.1266859 – volume: 92 start-page: e1029 issue: 10 year: 2019 ident: 2025022007380640700_fcaf043-B2 article-title: The prevalence of MS in the United States: A population-based estimate using health claims data publication-title: Neurology doi: 10.1212/WNL.0000000000007035 – volume: 251 start-page: 284 issue: 3 year: 2004 ident: 2025022007380640700_fcaf043-B21 article-title: Water content and myelin water fraction in multiple sclerosis. A T2 relaxation study publication-title: J Neurol doi: 10.1007/s00415-004-0306-6 – volume: 4 start-page: fcac088 issue: 2 year: 2022 ident: 2025022007380640700_fcaf043-B22 article-title: Quantitative magnetization transfer imaging in relapsing-remitting multiple sclerosis: A systematic review and meta-analysis publication-title: Brain Commun doi: 10.1093/braincomms/fcac088 – volume: 90 start-page: 673 issue: 2 year: 2023 ident: 2025022007380640700_fcaf043-B34 article-title: Assignment of molecular origins of NOE signal at -3.5 ppm in the brain publication-title: Magn Reson Med doi: 10.1002/mrm.29643 – volume: 37 start-page: 103349 year: 2023 ident: 2025022007380640700_fcaf043-B39 article-title: Personalized maps of T1 relaxometry abnormalities provide correlates of disability in multiple sclerosis patients publication-title: Neuroimage Clin doi: 10.1016/j.nicl.2023.103349 – volume: 89 start-page: 2295 issue: 6 year: 2023 ident: 2025022007380640700_fcaf043-B24 article-title: In vivo reproducibility of 3D relayed NOE in the healthy human brain at 7 T publication-title: Magn Reson Med doi: 10.1002/mrm.29600 – volume: 90 start-page: 1537 issue: 4 year: 2023 ident: 2025022007380640700_fcaf043-B26 article-title: B1+inhomogeneity correction of volumetric brain NOE(MTR) via high permittivity dielectric padding at 7 T publication-title: Magn Reson Med doi: 10.1002/mrm.29739 – volume: 46 start-page: 280 year: 2015 ident: 2025022007380640700_fcaf043-B9 article-title: Lack of ceramide synthase 2 suppresses the development of experimental autoimmune encephalomyelitis by impairing the migratory capacity of neutrophils publication-title: Brain Behav Immun doi: 10.1016/j.bbi.2015.02.010 – volume: 24 start-page: 214 issue: 2 year: 2018 ident: 2025022007380640700_fcaf043-B23 article-title: Radiologically isolated syndrome or subclinical multiple sclerosis: MAGNIMS consensus recommendations publication-title: Mult Scler doi: 10.1177/1352458517717808 – volume: 133 start-page: 1380 issue: 12 year: 2020 ident: 2025022007380640700_fcaf043-B1 article-title: Treatment of multiple sclerosis: A review publication-title: Am J Med doi: 10.1016/j.amjmed.2020.05.049 – volume: 32 start-page: 102867 year: 2021 ident: 2025022007380640700_fcaf043-B19 article-title: Relayed nuclear overhauser effect weighted (rNOEw) imaging identifies multiple sclerosis publication-title: Neuroimage Clin doi: 10.1016/j.nicl.2021.102867 – volume: 28 start-page: 529 issue: 5 year: 2015 ident: 2025022007380640700_fcaf043-B16 article-title: Correction of B1-inhomogeneities for relaxation-compensated CEST imaging at 7T publication-title: NMR Biomed doi: 10.1002/nbm.3283 – volume: 132 start-page: 288 issue: Pt 2 year: 2009 ident: 2025022007380640700_fcaf043-B35 article-title: Debris clearance by microglia: An essential link between degeneration and regeneration publication-title: Brain – volume: 49 start-page: 3015 issue: 4 year: 2010 ident: 2025022007380640700_fcaf043-B30 article-title: A fast B1-mapping method for the correction and normalization of magnetization transfer ratio maps at 3 T publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.11.054 – volume: 22 start-page: 119 issue: 1 year: 2013 ident: 2025022007380640700_fcaf043-B28 article-title: Nonlocal transform-domain filter for volumetric data denoising and reconstruction publication-title: IEEE Trans Image Process doi: 10.1109/TIP.2012.2210725 – volume: 31 start-page: 1116 issue: 3 year: 2006 ident: 2025022007380640700_fcaf043-B32 article-title: User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability publication-title: Neuroimage doi: 10.1016/j.neuroimage.2006.01.015 – volume: 9 start-page: 3116 year: 2018 ident: 2025022007380640700_fcaf043-B7 article-title: Pathogenic mechanisms associated with different clinical courses of multiple sclerosis publication-title: Front Immunol doi: 10.3389/fimmu.2018.03116 – volume: 49 start-page: 1271 issue: 2 year: 15 2010 ident: 2025022007380640700_fcaf043-B25 article-title: MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.10.002 – ident: 2025022007380640700_fcaf043-B31 – volume: 67 start-page: 912 issue: 4 year: 2012 ident: 2025022007380640700_fcaf043-B27 article-title: Simulations of high permittivity materials for 7 T neuroimaging and evaluation of a new barium titanate-based dielectric publication-title: Magn Reson Med doi: 10.1002/mrm.24176 – volume: 71 start-page: 1841 issue: 5 year: 2014 ident: 2025022007380640700_fcaf043-B17 article-title: Mapping of amide, amine, and aliphatic peaks in the CEST spectra of murine xenografts at 7 T publication-title: Magn Reson Med doi: 10.1002/mrm.24822 – volume: 26 start-page: 810 issue: 7 year: 2013 ident: 2025022007380640700_fcaf043-B14 article-title: Nuts and bolts of chemical exchange saturation transfer MRI publication-title: NMR Biomed doi: 10.1002/nbm.2899 – volume: 26 start-page: 1278 issue: 10 year: 2013 ident: 2025022007380640700_fcaf043-B41 article-title: Mapping glutamate in subcortical brain structures using high-resolution GluCEST MRI publication-title: NMR Biomed doi: 10.1002/nbm.2949 – volume: 144 start-page: 1296 issue: 5 year: 2021 ident: 2025022007380640700_fcaf043-B38 article-title: Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis publication-title: Brain doi: 10.1093/brain/awab029 |
SSID | ssj0002545398 |
Score | 2.2789373 |
Snippet | Multiple sclerosis is an inflammatory demyelinating condition of the central nervous system affecting approximately 1 million people in the USA. Although... |
SourceID | pubmedcentral proquest pubmed crossref |
SourceType | Open Access Repository Aggregation Database Index Database |
StartPage | fcaf043 |
SubjectTerms | Original |
Title | Diffuse nuclear Overhauser effect MRI contrast changes detected in multiple sclerosis subjects at 7T |
URI | https://www.ncbi.nlm.nih.gov/pubmed/39980739 https://www.proquest.com/docview/3169179746 https://pubmed.ncbi.nlm.nih.gov/PMC11840165 |
Volume | 7 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3fa9UwFA46YexF_O3VOSL4Vrq1TdN0jzKVKV4FvYO9lSRNWAd2Y20R_Os9p0nae70K6kspbUhIzsfJyTnfOSHkFeyBhvG0wNA_i3ORJ7G0QsemkDXoRpVbhX7I5afi9Cz_cM7PZ0LmmF3Sq0P947d5Jf8jVfgGcsUs2X-Q7NQpfIB3kC88QcLw_CsZv2msHToTtViUWN5En2EGFxL9Dp6nES2_vHdsdNn1Psm3i2qDkQODVZdmQmEHXcCO2XRRN6jLkeMh-0isNqK-eJ8EstDnnJKZgQiqVXWBbDh7VL9-l6FMQTdeCLjm6QnZXmbmeXxshtGeln5H9Q4Jl7Z8aEaVhcXfY7AgxLp-FVswcrrSamkTV6NpS4-7GlcKZ4WT6lAS281BGtffRtmCmVVizHHe1SauYfh1m9zJhEj5mkcHd2s4IHN2XPp8Khj3aB71yI-5R3ZDL5vmy9aZ5Fdq7ZqtsrpH7vpDBn3tEHOf3DLtA7K79DSKh6T2wKEeOHQGDnXAoQAcGoBDPXBoAA5tWhqAQyfg0AAcKnsqVo_I2bu3q5PT2F-3EWvG8z5mlueay9xmXFk4qGJAnWkFGl3JTGcqybVUoLJTy0RaJ7ZOj3OhDYO2vM4FY4_JTnvVmqeEKrDCZWmETeB0oUupsqJWVmquiqxMVLIgUVjF6tpVVakcG4JV8_JXfvkX5GVY6AqUH0a0ZGuuhq5iWOpJwJG4WJAnbuGn_oLEFqTcEMnUAAurb_5pm4uxwHqKbo-04M_-2OlzsofQd764fbLT3wzmBVinvToYvToHI8h-AoyEmeY |
linkProvider | National Library of Medicine |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Diffuse+nuclear+Overhauser+effect+MRI+contrast+changes+detected+in+multiple+sclerosis+subjects+at+7T&rft.jtitle=Brain+communications&rft.au=Jacobs%2C+Paul+S&rft.au=Swain%2C+Anshuman&rft.au=Wilson%2C+Neil&rft.au=Liu%2C+Fang&rft.date=2025&rft.eissn=2632-1297&rft.volume=7&rft.issue=1&rft.spage=fcaf043&rft_id=info:doi/10.1093%2Fbraincomms%2Ffcaf043&rft_id=info%3Apmid%2F39980739&rft.externalDocID=39980739 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2632-1297&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2632-1297&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2632-1297&client=summon |