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Armin Iraji
The Mind Research Network
NeurosciencePattern recognitionTraumatic brain injuryConnectomeResting state fMRI
20Publications
7H-index
146Citations
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Publications 22
Newest
#1Ashkan Faghiri (UNM: University of New Mexico)H-Index: 1
#1Ashkan Faghiri (UNM: University of New Mexico)
Last. Adrian Preda (UNM: University of New Mexico)H-Index: 5
view all 14 authors...
Abstract Background Dynamic functional network connectivity (dFNC) of the brain has attracted considerable attention recently. Many approaches have been suggested to study dFNC with sliding window Pearson correlation (SWPC) being the most well-known. SWPC needs a relatively large sample size to reach a robust estimation but using large window sizes prevents us to detect rapid changes in dFNC. New method Here we first calculate the gradients of each time series pair and use the magnitude of these...
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#1Armin Iraji (Georgia Institute of Technology)H-Index: 7
#2Robyn Miller (Georgia Institute of Technology)
Last. Vince D. Calhoun (Georgia Institute of Technology)H-Index: 93
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There has been growing interest in studying the temporal reconfiguration of brain functional connectivity to understand the role of dynamic interaction (e.g., integration and segregation) among neuronal populations in cognitive functions. However, it is crucial to differentiate between various dynamic properties because nearly all existing dynamic connectivity studies are presented as spatiotemporally dynamic, even though they fall into different categories. As a result, variation in the spatial...
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#1Armin IrajiH-Index: 7
#2Ashkan FaghiriH-Index: 1
Last. Vince D. CalhounH-Index: 93
view all 9 authors...
1 CitationsSource
#1Ashkan FaghiriH-Index: 1
#2Armin IrajiH-Index: 7
Last. Vince D. CalhounH-Index: 93
view all 5 authors...
Studying functional network connectivity using different imaging modalities has been the focus of many studies in recent years. One category of methods assumes that the connectivity is constant throughout the whole scanning period (e.g. using Pearson correlation to estimate linear correlation between two time series each belonging to a specific region in brain) while others relax this assumption by estimating connectivity at different time scales. The most common way to estimate dynamic function...
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#1Zening Fu (The Mind Research Network)H-Index: 8
#2Armin Iraji (The Mind Research Network)H-Index: 7
Last. Vince D. Calhoun (UNM: University of New Mexico)H-Index: 93
view all 7 authors...
Abstract Structural and functional brain abnormalities have been widely identified in dementia, but with variable replicability and significant overlap. Alzheimer's disease (AD) and Binswanger's disease (BD) share similar symptoms and common brain changes that can confound diagnosis. In this study, we aimed to investigate correlated structural and functional brain changes in AD and BD by combining resting-state functional magnetic resonance imaging (fMRI) and diffusion MRI. A group independent c...
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#1Armin Iraji (The Mind Research Network)H-Index: 7
#2Zening Fu (The Mind Research Network)H-Index: 8
Last. Vince D. Calhoun (Yale University)H-Index: 93
view all 19 authors...
1 CitationsSource
#1Shile Qi (The Mind Research Network)H-Index: 5
#2Jing Sui (The Mind Research Network)H-Index: 31
Last. Vince D. Calhoun (The Mind Research Network)H-Index: 93
view all 24 authors...
ABSTRACT There is growing evidence that rather than using a single brain imaging modality to study its association with physiological or symptomatic features, the field is paying more attention to fusion of multimodal information. However, most current multimodal fusion approaches that incorporate functional magnetic resonance imaging (fMRI) are restricted to second-level 3D features, rather than the original 4D fMRI data. This trade-off is that the valuable temporal information is not utilized ...
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#1Armin Iraji (The Mind Research Network)H-Index: 7
#2Thomas P. Deramus (The Mind Research Network)H-Index: 1
Last. Vince D. Calhoun (Yale University)H-Index: 93
view all 18 authors...
2 CitationsSource
#1Noah LewisH-Index: 2
#2Hanzhang LuH-Index: 46
Last. Vince D. CalhounH-Index: 93
view all 7 authors...
The human brain, as a finely-tuned system, needs a constant flow of oxygen to function properly. To accomplish this, the cerebrovascular system ensures a steady stream of oxygenation to brain cells. One tool that the cerebrovascular system uses is cerebrovascular reactivity (CVR), which is the system9s ability to react to vasoactive stimuli. Understanding CVR can provide unique information about cerebrovascular diseases and general brain function. CVR can be evaluated by scanning subjects with b...
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#1Armin Iraji (The Mind Research Network)H-Index: 7
#2Zening Fu (The Mind Research Network)H-Index: 8
Last. Vince D. Calhoun (The Mind Research Network)H-Index: 93
view all 19 authors...
The analysis of time-varying activity and connectivity patterns (i.e., the chronnectome) using resting-state magnetic resonance imaging has become an important part of ongoing neuroscience discussions. The majority of previous work has focused on variations of temporal coupling among fixed spatial nodes or transition of the dominant activity/connectivity pattern over time. Here, we introduce an approach to capture spatial dynamics within functional domains (FD), as well as temporal dynamics with...
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