Farnaz Zamani Esfahlani
Farnaz Zamani Esfahlani
Postdoctoral Associate at Indiana University
Verified email at iu.edu - Homepage
Cited by
Cited by
Network analysis reveals the latent structure of negative symptoms in schizophrenia
GP Strauss, FZ Esfahlani, S Galderisi, A Mucci, A Rossi, P Bucci, P Rocca, ...
Schizophrenia bulletin 45 (5), 1033-1041, 2019
Edge-centric functional network representations of human cerebral cortex reveal overlapping system-level architecture
J Faskowitz, FZ Esfahlani, Y Jo, O Sporns, RF Betzel
Nature neuroscience 23 (12), 1644-1654, 2020
High-amplitude cofluctuations in cortical activity drive functional connectivity
FZ Esfahlani, Y Jo, J Faskowitz, L Byrge, DP Kennedy, O Sporns, ...
Proceedings of the National Academy of Sciences 117 (45), 28393-28401, 2020
An ecological momentary assessment evaluation of emotion regulation abnormalities in schizophrenia
KF Visser, FZ Esfahlani, H Sayama, GP Strauss
Psychological medicine 48 (14), 2337-2345, 2018
Network analysis reveals which negative symptom domains are most central in schizophrenia vs bipolar disorder
GP Strauss, FZ Esfahlani, B Kirkpatrick, DN Allen, JM Gold, KF Visser, ...
Schizophrenia bulletin 45 (6), 1319-1330, 2019
Temporal fluctuations in the brain’s modular architecture during movie-watching
RF Betzel, L Byrge, FZ Esfahlani, DP Kennedy
Neuroimage 213, 116687, 2020
Sensitivity of the positive and negative syndrome scale (PANSS) in detecting treatment effects via network analysis
FZ Esfahlani, H Sayama, KF Visser, GP Strauss
Innovations in clinical neuroscience 14 (11-12), 59, 2017
A network-based classification framework for predicting treatment response of schizophrenia patients
FZ Esfahlani, K Visser, GP Strauss, H Sayama
Expert Systems with Applications 109, 152-161, 2018
Network analysis indicates that avolition is the most central domain for the successful treatment of negative symptoms: evidence from the roluperidone randomized clinical trial
GP Strauss, F Zamani Esfahlani, H Sayama, B Kirkpatrick, MG Opler, ...
Schizophrenia bulletin 46 (4), 964-970, 2020
Space-independent community and hub structure of functional brain networks
FZ Esfahlani, MA Bertolero, DS Bassett, RF Betzel
NeuroImage 211, 116612, 2020
Mathematically modeling emotion regulation abnormalities during psychotic experiences in schizophrenia
GP Strauss, F Zamani Esfahlani, KF Visser, EK Dickinson, J Gruber, ...
Clinical Psychological Science 7 (2), 216-233, 2019
Subject identification using edge-centric functional connectivity
Y Jo, J Faskowitz, FZ Esfahlani, O Sporns, RF Betzel
NeuroImage, 118204, 2021
The diversity and multiplexity of edge communities within and between brain systems
Y Jo, FZ Esfahlani, J Faskowitz, EJ Chumin, O Sporns, RF Betzel
Cell reports 37 (7), 110032, 2021
Mathematically modeling anhedonia in schizophrenia: a stochastic dynamical systems approach
GP Strauss, FZ Esfahlani, E Granholm, J Holden, KF Visser, ...
Schizophrenia bulletin 46 (5), 1191-1201, 2020
A percolation-based thresholding method with applications in functional connectivity analysis
FZ Esfahlani, H Sayama
International Workshop on Complex Networks, 221-231, 2018
A fuzzy inference model for predicting irregular human behaviour during stressful missions
S Khanmohammadi, CH Dagli, FZ Esfahlani
Procedia Computer Science 12, 265-270, 2012
Modularity maximization as a flexible and generic framework for brain network exploratory analysis
FZ Esfahlani, Y Jo, MG Puxeddu, H Merritt, JC Tanner, S Greenwell, ...
NeuroImage 244, 118607, 2021
Edge-centric analysis of time-varying functional brain networks with applications in autism spectrum disorder
FZ Esfahlani, L Byrge, J Tanner, O Sporns, DP Kennedy, RF Betzel
bioRxiv, 2021
Local structure-function relationships in human brain networks across the human lifespan
FZ Esfahlani, J Faskowitz, J Slack, B Misic, R Betzel
bioRxiv, 2021
A percolation-based thresholding method with applications in functional connectivity analysis
F Zamani Esfahlani, H Sayama
arXiv e-prints, arXiv: 1710.05292, 2017
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