Alzheimer’s disease projection from normal to mild dementia reflected in functional network connectivity: a longitudinal study MSE Sendi, E Zendehrouh, RL Miller, Z Fu, Y Du, J Liu, EC Mormino, ... Frontiers in Neural Circuits 14, 593263, 2021 | 50 | 2021 |
Aberrant Dynamic Functional Connectivity of Default Mode Network in Schizophrenia and Links to Symptom Severity MSE Sendi, E Zendehrouh, CA Ellis, Z Liang, Z Fu, DH Mathalon, JM Ford, ... bioRxiv, 2021.01. 03.425152, 2021 | 47 | 2021 |
Disrupted dynamic functional network connectivity among cognitive control networks in the progression of Alzheimer’s disease MSE Sendi, E Zendehrouh, Z Fu, J Liu, Y Du, E Mormino, DH Salat, ... bioRxiv, 2020.12. 31.424877, 2021 | 24 | 2021 |
Aberrant functional network connectivity transition probability in major depressive disorder E Zendehrouh, MSE Sendi, J Sui, Z Fu, D Zhi, L Lv, X Ma, Q Ke, X Li, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 21 | 2020 |
Abnormal dynamic functional network connectivity estimated from default mode network predicts symptom severity in major depressive disorder MSE Sendi, E Zendehrouh, J Sui, Z Fu, D Zhi, L Lv, X Ma, Q Ke, X Li, ... Brain Connectivity 11 (10), 838-849, 2021 | 18 | 2021 |
The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer's disease MSE Sendi, E Zendehrouh, CA Ellis, Z Fu, J Chen, RL Miller, EC Mormino, ... NeuroImage: Clinical 37, 103363, 2023 | 16* | 2023 |
Aberrant dynamic functional connectivity of default mode network predicts symptom severity in major depressive disorder MSE Sendi, E Zendehrouh, J Sui, Z Fu, D Zhi, L Lv, X Ma, Q Ke, X Li, ... Brain Connect 10, 2021 | 13 | 2021 |
A machine learning model for exploring aberrant functional network connectivity transition in schizophrenia MSE Sendi, E Zendehrouh, Z Fu, B Mahmoudi, RL Miller, VD Calhoun 2020 IEEE southwest symposium on image analysis and interpretation (SSIAI …, 2020 | 13 | 2020 |
A low-power temperature-compensated CMOS peaking current reference in subthreshold region MS Eslampanah, S Kananian, E Zendehrouh, M Sharifkhani, AM Sodagar, ... 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 9 | 2017 |
Dynamic patterns within the default mode network in schizophrenia subgroups MSE Sendi, E Zendehrouh, JA Turner, VD Calhoun 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 5 | 2021 |
Spatially Covarying Patterns of Gray Matter Volume and Concentration Highlight Distinct Regions in Schizophrenia K Rootes-Murdy, E Zendehrouh, VD Calhoun, JA Turner Frontiers in Neuroscience, 1341, 2021 | 5 | 2021 |
Cerebellum-Cingulo-Opercular Network Connectivity Strengthens in Adolescence and Supports Attention Efficiency Only in Childhood S Clark, TD Satterthwaite, TZ King, R Morris, E Zendehrouh, JA Turner Available at SSRN 4002328, 2022 | 4 | 2022 |
Brain state instability as a biomarker of Alzheimer’s disease progression: A dynamic functional network connectivity study MSE Sendi, E Zendehrouh, RL Miller, EC Mormino, DH Salat, ... Alzheimer's & Dementia 17, e051468, 2021 | 2 | 2021 |
Prediction of sleep quality scores using dynamic functional network connectivity of young adults: a reproducibility analysis MSE Sendi, H Dini, E Zendehrouh, DH Salat, VD Calhoun Alzheimer's & Dementia 19, e065778, 2023 | 1 | 2023 |
Dynamic Functional Connectivity of Default Mode Network in Schizophrenia and Links to Symptom Severity MSE Sendi, E Zendehrouh, C Ellis, J Turner, V Calhoun Biological Psychiatry 89 (9), S262-S263, 2021 | 1 | 2021 |
Towards a multimodal neuroimaging-based risk score for mild cognitive impairment by combining clinical studies with a large (N> 37000) population-based study E Zendehrouh, MSE Sendi, A Abrol, I Batta, R Hassanzadeh, VD Calhoun medRxiv, 2024 | | 2024 |
A brain‐wide risk score of Alzheimer’s disease based on multimodal neuroimaging predicts cognition in large N> 37000 population data E Zendehrouh, MSE Sendi, VD Calhoun Alzheimer's & Dementia 19, e077591, 2023 | | 2023 |
Towards a multimodal neuroimaging-based risk score for Alzheimer’s disease by combining clinical and large N> 37000 population data E Zendehrouh, MSE Sendi, VD Calhoun 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
Resting‐state dynamic functional network connectivity predicts cognition in 37,784 participants of UK Biobank MSE Sendi, E Zendehrouh, RL Miller, DH Salat, VD Calhoun Alzheimer's & Dementia 19, e065832, 2023 | | 2023 |
Brain Development From Childhood to Adolescence Alters Cerebello-Cortical Dynamic Functional Connectivity E Zendehrouh, MSE Sendi, SV Clark, J Turner Biological Psychiatry 89 (9), S354-S355, 2021 | | 2021 |