191 related articles for article (PubMed ID: 38103511)
1. Multi-modal neuroimaging signatures predict cognitive decline in multiple sclerosis: A 5-year longitudinal study.
Al-Iedani O; Lea S; Alshehri A; Maltby VE; Saugbjerg B; Ramadan S; Lea R; Lechner-Scott J
Mult Scler Relat Disord; 2024 Jan; 81():105379. PubMed ID: 38103511
[TBL] [Abstract][Full Text] [Related]
2. Isolated cognitive impairment in people with multiple sclerosis: frequency, MRI patterns and its development over time.
Bouman PM; van Dam MA; Jonkman LE; Steenwijk MD; Schoonheim MM; Geurts JJG; Hulst HE
J Neurol; 2024 May; 271(5):2159-2168. PubMed ID: 38286843
[TBL] [Abstract][Full Text] [Related]
3. Predicting cognitive decline in multiple sclerosis: a 5-year follow-up study.
Eijlers AJC; van Geest Q; Dekker I; Steenwijk MD; Meijer KA; Hulst HE; Barkhof F; Uitdehaag BMJ; Schoonheim MM; Geurts JJG
Brain; 2018 Sep; 141(9):2605-2618. PubMed ID: 30169585
[TBL] [Abstract][Full Text] [Related]
4. A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.
Spasov S; Passamonti L; Duggento A; Liò P; Toschi N;
Neuroimage; 2019 Apr; 189():276-287. PubMed ID: 30654174
[TBL] [Abstract][Full Text] [Related]
5. Neuroimaging predictors of longitudinal disability and cognition outcomes in multiple sclerosis patients: A systematic review and meta-analysis.
Pike AR; James GA; Drew PD; Archer RL
Mult Scler Relat Disord; 2022 Jan; 57():103452. PubMed ID: 34933251
[TBL] [Abstract][Full Text] [Related]
6. Fractal dimension of cerebral white matter: A consistent feature for prediction of the cognitive performance in patients with small vessel disease and mild cognitive impairment.
Pantoni L; Marzi C; Poggesi A; Giorgio A; De Stefano N; Mascalchi M; Inzitari D; Salvadori E; Diciotti S
Neuroimage Clin; 2019; 24():101990. PubMed ID: 31491677
[TBL] [Abstract][Full Text] [Related]
7. Thalamic atrophy and dysconnectivity are associated with cognitive impairment in a multi-center, clinical routine, real-word study of people with relapsing-remitting multiple sclerosis.
Zivadinov R; Bergsland N; Jakimovski D; Weinstock-Guttman B; Lorefice L; Schoonheim MM; Morrow SA; Ann Picone M; Pardo G; Zarif M; Gudesblatt M; Nicholas JA; Smith A; Hunter S; Newman S; AbdelRazek MA; Hoti I; Riolo J; Silva D; Fuchs TA; Dwyer MG; Hb Benedict R
Neuroimage Clin; 2024; 42():103609. PubMed ID: 38718640
[TBL] [Abstract][Full Text] [Related]
8. The association between intra- and juxta-cortical pathology and cognitive impairment in multiple sclerosis by quantitative T
Louapre C; Govindarajan ST; Giannì C; Madigan N; Nielsen AS; Sloane JA; Kinkel RP; Mainero C
Neuroimage Clin; 2016; 12():879-886. PubMed ID: 27872810
[TBL] [Abstract][Full Text] [Related]
9. Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages.
Liu Y; Yue L; Xiao S; Yang W; Shen D; Liu M
Med Image Anal; 2022 Jan; 75():102266. PubMed ID: 34700245
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of a connectivity-based imaging metric that reflects functional decline in Multiple Sclerosis.
Koenig KA; Beall EB; Sakaie KE; Ontaneda D; Stone L; Rao SM; Nakamura K; Jones SE; Lowe MJ
PLoS One; 2021; 16(6):e0251338. PubMed ID: 34101741
[TBL] [Abstract][Full Text] [Related]
11. Clinical and MRI predictors of cognitive decline in patients with relapsing-remitting multiple sclerosis: A 2-year longitudinal study.
Dong X; Xu G; Wang J; Yin N; Meng N
Mult Scler Relat Disord; 2022 Sep; 65():103838. PubMed ID: 35749960
[TBL] [Abstract][Full Text] [Related]
12. Vascular disease risk factors in multiple sclerosis: Effect on metabolism and brain volumes.
Sammi MK; Fryman A; Baker E; Moloney B; Powers K; West R; Bittner F; Lane M; Martin K; Pepelyayeva Y; Anderson VC; Rooney WD; Yadav V
Mult Scler Relat Disord; 2023 Jun; 74():104675. PubMed ID: 37121104
[TBL] [Abstract][Full Text] [Related]
13. Brief international cognitive assessment for multiple sclerosis (BICAMS): A danish validation study of sensitivity in early stages of MS.
Marstrand L; Østerberg O; Walsted T; Skov AC; Schreiber KI; Sellebjerg F
Mult Scler Relat Disord; 2020 Jan; 37():101458. PubMed ID: 31683230
[TBL] [Abstract][Full Text] [Related]
14. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
15. Associations Between Cognitive Impairment and Neuroimaging in Patients with Multiple Sclerosis.
Wilcox O; Amin M; Hancock L; Nakamura K; Lace J; Ontaneda D; Galioto R
Arch Clin Neuropsychol; 2024 Feb; 39(2):196-203. PubMed ID: 37699528
[TBL] [Abstract][Full Text] [Related]
16. Measuring cognitive function by the SDMT across functional domains: Useful but not sufficient.
Leach JM; Cutter G; Golan D; Doniger G; Zarif M; Bumstead B; Buhse M; Kaczmarek O; Sethi A; Covey T; Penner IK; Wilken J; Gudesblatt M
Mult Scler Relat Disord; 2022 Apr; 60():103704. PubMed ID: 35259683
[TBL] [Abstract][Full Text] [Related]
17. Detecting isolated cognitive relapses in persons with MS.
Morrow SA; Weinstock ZL; Mirmosayyeb O; Conway D; Fuchs T; Jaworski MG; Eckert S; Hojnacki DH; Dwyer MG; Zivadinov R; Weinstock-Guttman B; Benedict RHB
Mult Scler; 2023 Dec; 29(14):1786-1794. PubMed ID: 37776097
[TBL] [Abstract][Full Text] [Related]
18. Prediction of cognitive decline in Parkinson's disease based on MRI radiomics and clinical features: A multicenter study.
Jian Y; Peng J; Wang W; Hu T; Wang J; Shi H; Li X; Chen J; Xu Y; Shao Y; Song Q; Shu Z
CNS Neurosci Ther; 2024 Jun; 30(6):e14789. PubMed ID: 38923776
[TBL] [Abstract][Full Text] [Related]
19. Structural and functional correlates of disability, motor and cognitive performances in multiple sclerosis: Focus on the globus pallidus.
Romanò F; Valsasina P; Pagani E; De Simone A; Parolin E; Filippi M; Rocca MA
Mult Scler Relat Disord; 2024 Jun; 86():105576. PubMed ID: 38579567
[TBL] [Abstract][Full Text] [Related]
20. Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groups.
Tozlu C; Jamison K; Gu Z; Gauthier SA; Kuceyeski A
Neuroimage Clin; 2021; 32():102827. PubMed ID: 34601310
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
