243 related articles for article (PubMed ID: 32122106)
1. Attentional Connectivity-based Prediction of Autism Using Heterogeneous rs-fMRI Data from CC200 Atlas.
Liu Y; Xu L; Li J; Yu J; Yu X
Exp Neurobiol; 2020 Feb; 29(1):27-37. PubMed ID: 32122106
[TBL] [Abstract][Full Text] [Related]
2. Altered social cognition and connectivity of default mode networks in the co-occurrence of autistic spectrum disorder and attention deficit hyperactivity disorder.
Wang K; Xu M; Ji Y; Zhang L; Du X; Li J; Luo Q; Li F
Aust N Z J Psychiatry; 2019 Aug; 53(8):760-771. PubMed ID: 30843728
[TBL] [Abstract][Full Text] [Related]
3. Dynamic functional connectivity analysis reveals decreased variability of the default-mode network in developing autistic brain.
He C; Chen Y; Jian T; Chen H; Guo X; Wang J; Wu L; Chen H; Duan X
Autism Res; 2018 Nov; 11(11):1479-1493. PubMed ID: 30270547
[TBL] [Abstract][Full Text] [Related]
4. Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism.
Chen CP; Keown CL; Jahedi A; Nair A; Pflieger ME; Bailey BA; Müller RA
Neuroimage Clin; 2015; 8():238-45. PubMed ID: 26106547
[TBL] [Abstract][Full Text] [Related]
5. Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks.
Dvornek NC; Ventola P; Pelphrey KA; Duncan JS
Mach Learn Med Imaging; 2017 Sep; 10541():362-370. PubMed ID: 29104967
[TBL] [Abstract][Full Text] [Related]
6. Default mode network in young male adults with autism spectrum disorder: relationship with autism spectrum traits.
Jung M; Kosaka H; Saito DN; Ishitobi M; Morita T; Inohara K; Asano M; Arai S; Munesue T; Tomoda A; Wada Y; Sadato N; Okazawa H; Iidaka T
Mol Autism; 2014; 5():35. PubMed ID: 24955232
[TBL] [Abstract][Full Text] [Related]
7. Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards.
Plitt M; Barnes KA; Martin A
Neuroimage Clin; 2015; 7():359-66. PubMed ID: 25685703
[TBL] [Abstract][Full Text] [Related]
8. Identification of Autism Subtypes Based on Wavelet Coherence of BOLD FMRI Signals Using Convolutional Neural Network.
Al-Hiyali MI; Yahya N; Faye I; Hussein AF
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450699
[TBL] [Abstract][Full Text] [Related]
9. Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks.
Aghdam MA; Sharifi A; Pedram MM
J Digit Imaging; 2019 Dec; 32(6):899-918. PubMed ID: 30963340
[TBL] [Abstract][Full Text] [Related]
10. Identification of autism spectrum disorder using deep learning and the ABIDE dataset.
Heinsfeld AS; Franco AR; Craddock RC; Buchweitz A; Meneguzzi F
Neuroimage Clin; 2018; 17():16-23. PubMed ID: 29034163
[TBL] [Abstract][Full Text] [Related]
11. Partially impaired functional connectivity states between right anterior insula and default mode network in autism spectrum disorder.
Guo X; Duan X; Suckling J; Chen H; Liao W; Cui Q; Chen H
Hum Brain Mapp; 2019 Mar; 40(4):1264-1275. PubMed ID: 30367744
[TBL] [Abstract][Full Text] [Related]
12. Integration and Segregation of Default Mode Network Resting-State Functional Connectivity in Transition-Age Males with High-Functioning Autism Spectrum Disorder: A Proof-of-Concept Study.
Joshi G; Arnold Anteraper S; Patil KR; Semwal M; Goldin RL; Furtak SL; Chai XJ; Saygin ZM; Gabrieli JDE; Biederman J; Whitfield-Gabrieli S
Brain Connect; 2017 Nov; 7(9):558-573. PubMed ID: 28942672
[TBL] [Abstract][Full Text] [Related]
13. Idiosyncratic organization of cortical networks in autism spectrum disorder.
Nunes AS; Peatfield N; Vakorin V; Doesburg SM
Neuroimage; 2019 Apr; 190():182-190. PubMed ID: 29355768
[TBL] [Abstract][Full Text] [Related]
14. Identifying Boys With Autism Spectrum Disorder Based on Whole-Brain Resting-State Interregional Functional Connections Using a Boruta-Based Support Vector Machine Approach.
Zhao L; Sun YK; Xue SW; Luo H; Lu XD; Zhang LH
Front Neuroinform; 2022; 16():761942. PubMed ID: 35273487
[TBL] [Abstract][Full Text] [Related]
15. Aberrant dynamic minimal spanning tree parameters within default mode network in patients with autism spectrum disorder.
Jia H; Wu X; Wu Z; Wang E
Front Psychiatry; 2022; 13():860348. PubMed ID: 36186871
[TBL] [Abstract][Full Text] [Related]
16. Functional connectivity in ASD: Atypical pathways in brain networks supporting action observation and joint attention.
Delbruck E; Yang M; Yassine A; Grossman ED
Brain Res; 2019 Mar; 1706():157-165. PubMed ID: 30392771
[TBL] [Abstract][Full Text] [Related]
17. Deficient visuospatial working memory functions and neural correlates of the default-mode network in adolescents with autism spectrum disorder.
Chien HY; Gau SS; Isaac Tseng WY
Autism Res; 2016 Oct; 9(10):1058-1072. PubMed ID: 26829405
[TBL] [Abstract][Full Text] [Related]
18. Aberrant "deep connectivity" in autism: A cortico-subcortical functional connectivity magnetic resonance imaging study.
Maximo JO; Kana RK
Autism Res; 2019 Mar; 12(3):384-400. PubMed ID: 30624021
[TBL] [Abstract][Full Text] [Related]
19. DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network.
Ahammed MS; Niu S; Ahmed MR; Dong J; Gao X; Chen Y
Front Neuroinform; 2021; 15():635657. PubMed ID: 34248531
[TBL] [Abstract][Full Text] [Related]
20. Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network.
Sherkatghanad Z; Akhondzadeh M; Salari S; Zomorodi-Moghadam M; Abdar M; Acharya UR; Khosrowabadi R; Salari V
Front Neurosci; 2019; 13():1325. PubMed ID: 32009868
[No Abstract] [Full Text] [Related]
[Next] [New Search]
