BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 38788914)

  • 21. Uncovering multi-site identifiability based on resting-state functional connectomes.
    Bari S; Amico E; Vike N; Talavage TM; Goñi J
    Neuroimage; 2019 Nov; 202():115967. PubMed ID: 31352124
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Graph-matching distance between individuals' functional connectomes varies with relatedness, age, and cognitive score.
    Bukhari H; Su C; Dhamala E; Gu Z; Jamison K; Kuceyeski A
    Hum Brain Mapp; 2023 Jun; 44(9):3541-3554. PubMed ID: 37042411
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Intra and inter-individual variability in functional connectomes of patients with First Episode of Psychosis.
    Tepper Á; Vásquez Núñez J; Ramirez-Mahaluf JP; Aguirre JM; Barbagelata D; Maldonado E; Díaz Dellarossa C; Nachar R; González-Valderrama A; Undurraga J; Goñi J; Crossley N
    Neuroimage Clin; 2023; 38():103391. PubMed ID: 37003128
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion.
    Kong R; Li J; Orban C; Sabuncu MR; Liu H; Schaefer A; Sun N; Zuo XN; Holmes AJ; Eickhoff SB; Yeo BTT
    Cereb Cortex; 2019 Jun; 29(6):2533-2551. PubMed ID: 29878084
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Normative pathways in the functional connectome.
    Leming M; Su L; Chattopadhyay S; Suckling J
    Neuroimage; 2019 Jan; 184():317-334. PubMed ID: 30223061
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Optimizing differential identifiability improves connectome predictive modeling of cognitive deficits from functional connectivity in Alzheimer's disease.
    Svaldi DO; Goñi J; Abbas K; Amico E; Clark DG; Muralidharan C; Dzemidzic M; West JD; Risacher SL; Saykin AJ; Apostolova LG
    Hum Brain Mapp; 2021 Aug; 42(11):3500-3516. PubMed ID: 33949732
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Deep learning models of cognitive processes constrained by human brain connectomes.
    Zhang Y; Farrugia N; Bellec P
    Med Image Anal; 2022 Aug; 80():102507. PubMed ID: 35738052
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Thresholding functional connectomes by means of mixture modeling.
    Bielczyk NZ; Walocha F; Ebel PW; Haak KV; Llera A; Buitelaar JK; Glennon JC; Beckmann CF
    Neuroimage; 2018 May; 171():402-414. PubMed ID: 29309896
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Multi-timepoint pattern analysis: Influence of personality and behavior on decoding context-dependent brain connectivity dynamics.
    Ganesan S; Lv J; Zalesky A
    Hum Brain Mapp; 2022 Mar; 43(4):1403-1418. PubMed ID: 34859934
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Functional connectomes incorporating phase synchronization for the characterization and prediction of individual differences.
    Cai B; Zhou Z; Zhang A; Zhang G; Xiao L; Stephen JM; Wilson TW; Calhoun VD; Wang YP
    J Neurosci Methods; 2022 Apr; 372():109539. PubMed ID: 35219769
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Brain decoding of the Human Connectome Project tasks in a dense individual fMRI dataset.
    Rastegarnia S; St-Laurent M; DuPre E; Pinsard B; Bellec P
    Neuroimage; 2023 Dec; 283():120395. PubMed ID: 37832707
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Identifying inter-individual differences in pain threshold using brain connectome: a test-retest reproducible study.
    Tu Y; Zhang B; Cao J; Wilson G; Zhang Z; Kong J
    Neuroimage; 2019 Nov; 202():116049. PubMed ID: 31349067
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs.
    Yuan J; Li X; Zhang J; Luo L; Dong Q; Lv J; Zhao Y; Jiang X; Zhang S; Zhang W; Liu T
    Neuroimage; 2018 Oct; 180(Pt B):350-369. PubMed ID: 29102809
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Accurate prediction of individual subject identity and task, but not autism diagnosis, from functional connectomes.
    Byrge L; Kennedy DP
    Hum Brain Mapp; 2020 Jun; 41(9):2249-2262. PubMed ID: 32150312
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Age differences in the functional interactions among the default, frontoparietal control, and dorsal attention networks.
    Grady C; Sarraf S; Saverino C; Campbell K
    Neurobiol Aging; 2016 May; 41():159-172. PubMed ID: 27103529
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Brain structure-function coupling provides signatures for task decoding and individual fingerprinting.
    Griffa A; Amico E; Liégeois R; Van De Ville D; Preti MG
    Neuroimage; 2022 Apr; 250():118970. PubMed ID: 35124226
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Connectome-based models predict attentional control in aging adults.
    Fountain-Zaragoza S; Samimy S; Rosenberg MD; Prakash RS
    Neuroimage; 2019 Feb; 186():1-13. PubMed ID: 30394324
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Unique Mapping of Structural and Functional Connectivity on Cognition.
    Zimmermann J; Griffiths JD; McIntosh AR
    J Neurosci; 2018 Nov; 38(45):9658-9667. PubMed ID: 30249801
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Impact of inter-individual variability on the estimation of default mode network in temporal concatenation group ICA.
    Hu Y; Yang Z
    Neuroimage; 2021 Aug; 237():118114. PubMed ID: 33933594
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Chronnectome fingerprinting: Identifying individuals and predicting higher cognitive functions using dynamic brain connectivity patterns.
    Liu J; Liao X; Xia M; He Y
    Hum Brain Mapp; 2018 Feb; 39(2):902-915. PubMed ID: 29143409
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.