316 related articles for article (PubMed ID: 25044213)
1. Multivariate lesion-symptom mapping using support vector regression.
Zhang Y; Kimberg DY; Coslett HB; Schwartz MF; Wang Z
Hum Brain Mapp; 2014 Dec; 35(12):5861-76. PubMed ID: 25044213
[TBL] [Abstract][Full Text] [Related]
2. Support vector regression based multivariate lesion-symptom mapping.
Zhang Y; Kimberg DY; Coslett HB; Schwartz MF; Wang Z
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():5599-602. PubMed ID: 25571264
[TBL] [Abstract][Full Text] [Related]
3. An empirical evaluation of multivariate lesion behaviour mapping using support vector regression.
Sperber C; Wiesen D; Karnath HO
Hum Brain Mapp; 2019 Apr; 40(5):1381-1390. PubMed ID: 30549154
[TBL] [Abstract][Full Text] [Related]
4. Improved accuracy of lesion to symptom mapping with multivariate sparse canonical correlations.
Pustina D; Avants B; Faseyitan OK; Medaglia JD; Coslett HB
Neuropsychologia; 2018 Jul; 115():154-166. PubMed ID: 28882479
[TBL] [Abstract][Full Text] [Related]
5. An empirical comparison of univariate versus multivariate methods for the analysis of brain-behavior mapping.
Ivanova MV; Herron TJ; Dronkers NF; Baldo JV
Hum Brain Mapp; 2021 Mar; 42(4):1070-1101. PubMed ID: 33216425
[TBL] [Abstract][Full Text] [Related]
6. A multivariate lesion symptom mapping toolbox and examination of lesion-volume biases and correction methods in lesion-symptom mapping.
DeMarco AT; Turkeltaub PE
Hum Brain Mapp; 2018 Nov; 39(11):4169-4182. PubMed ID: 29972618
[TBL] [Abstract][Full Text] [Related]
7. The Additional Contribution of White Matter Hyperintensity Location to Post-stroke Cognitive Impairment: Insights From a Multiple-Lesion Symptom Mapping Study.
Zhao L; Wong A; Luo Y; Liu W; Chu WWC; Abrigo JM; Lee RKL; Mok V; Shi L
Front Neurosci; 2018; 12():290. PubMed ID: 29765301
[TBL] [Abstract][Full Text] [Related]
8. Relative contributions of lesion location and lesion size to predictions of varied language deficits in post-stroke aphasia.
Thye M; Mirman D
Neuroimage Clin; 2018; 20():1129-1138. PubMed ID: 30380520
[TBL] [Abstract][Full Text] [Related]
9. Is VLSM a valid tool for determining the functional anatomy of the brain? Usefulness of additional Bayesian network analysis.
Arnoux A; Toba MN; Duering M; Diouf M; Daouk J; Constans JM; Puy L; Barbay M; Godefroy O
Neuropsychologia; 2018 Dec; 121():69-78. PubMed ID: 30449718
[TBL] [Abstract][Full Text] [Related]
10. Multivariate Connectome-Based Symptom Mapping in Post-Stroke Patients: Networks Supporting Language and Speech.
Yourganov G; Fridriksson J; Rorden C; Gleichgerrcht E; Bonilha L
J Neurosci; 2016 Jun; 36(25):6668-79. PubMed ID: 27335399
[TBL] [Abstract][Full Text] [Related]
11. Using machine learning-based lesion behavior mapping to identify anatomical networks of cognitive dysfunction: Spatial neglect and attention.
Wiesen D; Sperber C; Yourganov G; Rorden C; Karnath HO
Neuroimage; 2019 Nov; 201():116000. PubMed ID: 31295567
[TBL] [Abstract][Full Text] [Related]
12. Domains of Health-Related Quality of Life Are Associated With Specific Deficits and Lesion Locations in Chronic Aphasia.
Dvorak EL; Gadson DS; Lacey EH; DeMarco AT; Turkeltaub PE
Neurorehabil Neural Repair; 2021 Jul; 35(7):634-643. PubMed ID: 34018866
[TBL] [Abstract][Full Text] [Related]
13. Lesion correlates of patholinguistic profiles in chronic aphasia: comparisons of syndrome-, modality- and symptom-level assessment.
Henseler I; Regenbrecht F; Obrig H
Brain; 2014 Mar; 137(Pt 3):918-30. PubMed ID: 24525451
[TBL] [Abstract][Full Text] [Related]
14. Mapping causal functional contributions derived from the clinical assessment of brain damage after stroke.
Zavaglia M; Forkert ND; Cheng B; Gerloff C; Thomalla G; Hilgetag CC
Neuroimage Clin; 2015; 9():83-94. PubMed ID: 26448908
[TBL] [Abstract][Full Text] [Related]
15. Corrections for multiple comparisons in voxel-based lesion-symptom mapping.
Mirman D; Landrigan JF; Kokolis S; Verillo S; Ferrara C; Pustina D
Neuropsychologia; 2018 Jul; 115():112-123. PubMed ID: 28847712
[TBL] [Abstract][Full Text] [Related]
16. Impairments of syntactic comprehension in Korean and the location of ischemic stroke lesions: a voxel-based lesion-symptom mapping study.
Kim MJ; Jeon HA; Lee KM
Behav Neurol; 2010; 22(1-2):3-10. PubMed ID: 20543453
[TBL] [Abstract][Full Text] [Related]
17. Neural substrates of subcortical aphasia in subacute stroke: Voxel-based lesion symptom mapping study.
Kim G; Jeong B; Choi M; Kim WS; Han CE; Paik NJ
J Neurol Sci; 2021 Jan; 420():117266. PubMed ID: 33341084
[TBL] [Abstract][Full Text] [Related]
18. Capturing multidimensionality in stroke aphasia: mapping principal behavioural components to neural structures.
Butler RA; Lambon Ralph MA; Woollams AM
Brain; 2014 Dec; 137(Pt 12):3248-66. PubMed ID: 25348632
[TBL] [Abstract][Full Text] [Related]
19. Right hemisphere grey matter structure and language outcomes in chronic left hemisphere stroke.
Xing S; Lacey EH; Skipper-Kallal LM; Jiang X; Harris-Love ML; Zeng J; Turkeltaub PE
Brain; 2016 Jan; 139(Pt 1):227-41. PubMed ID: 26521078
[TBL] [Abstract][Full Text] [Related]
20. Words fail: Lesion-symptom mapping of errors of omission in post-stroke aphasia.
Chen Q; Middleton E; Mirman D
J Neuropsychol; 2019 Jun; 13(2):183-197. PubMed ID: 29411521
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]