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Ultra-high-order ICA: an exploration of highly resolved data-driven representation of intrinsic connectivity networks (sparse ICNs)

Published on Sep 9, 2019
路 DOI :10.1117/12.2530106
Armin Iraji7
Estimated H-index: 7
,
Ashkan Faghiri1
Estimated H-index: 1
+ 6 AuthorsVince D. Calhoun93
Estimated H-index: 93
Abstract
  • References (16)
  • Citations (1)
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References16
Newest
#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
This paper studies the existing links between two approaches of Independent Component Analysis (ICA), projection pursuit and Infomax/maximum likelihood estimation, and the Sparse Component Analysis (SCA), mainly used in the Generalized Morphological Component Analysis (GMCA), to tackle the Blind Source Separation (BSS) of instantaneous mixtures problem. If ICA methods suit well for overdetermined and noiseless mixtures, SCA (via GMCA) has demonstrated its robustness to noise. Using the "synthesi...
3 CitationsSource
#1Evan M. Gordon (UTD: University of Texas at Dallas)H-Index: 22
#2Timothy O. Laumann (WashU: Washington University in St. Louis)H-Index: 23
Last. Nico U.F. Dosenbach (WashU: Washington University in St. Louis)H-Index: 24
view all 20 authors...
Summary Human functional MRI (fMRI) research primarily focuses on analyzing data averaged across groups, which limits the detail, specificity, and clinical utility聽of fMRI resting-state functional connectivity (RSFC) and task-activation maps. To push our understanding of functional brain organization to the level of聽individual humans, we assembled a novel MRI dataset containing 5聽hr of RSFC data, 6聽hr of聽task fMRI, multiple structural MRIs, and neuropsychological tests from each of ten adults. U...
186 CitationsSource
#1Armin Iraji (WSU: Wayne State University)H-Index: 7
#2Vince D. Calhoun (UNM: University of New Mexico)H-Index: 93
Last. Zhifeng Kou (WSU: Wayne State University)H-Index: 16
view all 7 authors...
Spontaneous fluctuations of resting state functional MRI (rsfMRI) have been widely used to understand the macro-connectome of the human brain. However, these fluctuations are not synchronized among subjects, which leads to limitations and makes utilization of first-level model-based methods challenging. Considering this limitation of rsfMRI data in the time domain, we propose to transfer the spatiotemporal information of the rsfMRI data to another domain, the connectivity domain, in which each v...
27 CitationsSource
The brain's default mode network consists of discrete, bilateral and symmetrical cortical areas, in the medial and lateral parietal, medial prefrontal, and medial and lateral temporal cortices of the human, nonhuman primate, cat, and rodent brains. Its discovery was an unexpected consequence of brain-imaging studies first performed with positron emission tomography in which various novel, attention-demanding, and non-self-referential tasks were compared with quiet repose either with eyes closed ...
675 CitationsSource
#1Mustafa S. Cetin (UNM: University of New Mexico)H-Index: 8
#2Fletcher Christensen (UNM: University of New Mexico)H-Index: 1
Last. Vince D. Calhoun (UNM: University of New Mexico)H-Index: 93
view all 9 authors...
Abstract Although a number of recent studies have examined functional connectivity at rest, few have assessed differences between connectivity both during rest and across active task paradigms. Therefore, the question of whether cortical connectivity patterns remain stable or change with task engagement continues to be unaddressed. We collected multi-scan fMRI data on healthy controls (N聽=聽53) and schizophrenia patients (N聽=聽42) during rest and across paradigms arranged hierarchically by sensory...
81 CitationsSource
#1Eswar DamarajuH-Index: 22
#2Elena A. Allen (University of Bergen)H-Index: 28
Last. Vince D. Calhoun (UNM: University of New Mexico)H-Index: 93
view all 14 authors...
Schizophrenia is a psychotic disorder characterized by functional dysconnectivity or abnormal integration between distant brain regions. Recent functional imaging studies have implicated large-scale thalamo-cortical connectivity as being disrupted in patients. However, observed connectivity differences in schizophrenia have been inconsistent between studies, with reports of hyperconnectivity and hypoconnectivity between the same brain regions. Using resting state eyes-closed functional imaging a...
354 CitationsSource
#1Vince D. Calhoun (UNM: University of New Mexico)H-Index: 93
#2Vamsi K. Potluru (UNM: University of New Mexico)H-Index: 8
Last. Tulay Adali (UMBC: University of Maryland, Baltimore County)H-Index: 56
view all 8 authors...
A recent paper by Daubechies et al. claims that two independent component analysis (ICA) algorithms, Infomax and FastICA, which are widely used for functional magnetic resonance imaging (fMRI) analysis, select for sparsity rather than independence. The argument was supported by a series of experiments on synthetic data. We show that these experiments fall short of proving this claim and that the ICA algorithms are indeed doing what they are designed to do: identify maximally independent sources.
56 CitationsSource
#1David C. Van Essen (WashU: Washington University in St. Louis)H-Index: 80
#2Matthew F. Glasser (WashU: Washington University in St. Louis)H-Index: 37
Last. Timothy S. Coalson (WashU: Washington University in St. Louis)H-Index: 17
view all 5 authors...
We report on surface-based analyses that enhance our understanding of human cortical organization, including its convolutions and its parcellation into many distinct areas. The surface area of human neocortex averages 973 cm2 per hemisphere, based on cortical midthickness surfaces of 2 cohorts of subjects. We implemented a method to register individual subjects to a hybrid version of the FreeSurfer 鈥渇saverage鈥 atlas whose left and right hemispheres are in precise geographic correspondence. Corti...
278 CitationsSource
#1Vince D. CalhounH-Index: 93
#2Tulay Adali (UMBC: University of Maryland, Baltimore County)H-Index: 56
Since the discovery of functional connectivity in fMRI data (i.e., temporal correlations between spatially distinct regions of the brain) there has been a considerable amount of work in this field. One important focus has been on the analysis of brain connectivity using the concept of networks instead of regions. Approximately ten years ago, two important research areas grew out of this concept. First, a network proposed to be 鈥渁 default mode of brain function鈥 since dubbed the default mode netw...
286 CitationsSource
Cited By1
Newest
#1Armin Iraji (Georgia Institute of Technology)H-Index: 7
#2Zening Fu (Georgia Institute of Technology)H-Index: 8
Last. Vince D. Calhoun (Georgia Institute of Technology)H-Index: 2
view all 7 authors...
Our recent findings show that functional organizations evolve spatially over time, highlighting the importance of considering within-subject spatial variations and dynamic functional parcellations in brain functional analyses. Meanwhile, a considerable level of multi-functionality suggests the need for overlapping brain parcellations. In this work, we used ultra-high-order ICA to identify fine overlapping functional dynamic parcellations of the brain. The preliminary result of this work was pres...
Source
#1Armin Iraji (Georgia Institute of Technology)H-Index: 7
#2Robyn Miller (Georgia Institute of Technology)H-Index: 1
Last. Vince D. Calhoun (Georgia Institute of Technology)H-Index: 93
view all 4 authors...
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...
1 CitationsSource