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Shile Qi
Chinese Academy of Sciences
PsychologyNeuroscienceCognitionPattern recognitionNeuroimaging
16Publications
5H-index
70Citations
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Publications 22
Newest
#1Shile Qi (Georgia Institute of Technology)H-Index: 5
#2Juan R. Bustillo (UNM: University of New Mexico)H-Index: 44
Last. Xiao Yang (Sichuan University)H-Index: 7
view all 15 authors...
Schizophrenia (SZ) is frequently concurrent with substance use, depressive symptoms, social communication and attention deficits. However, the relationship between common brain networks (e.g., SZ vs. substance use, SZ vs. depression, SZ vs. developmental disorders) with SZ on specific symptoms and cognition is unclear. Symptom scores were used as a reference to guide fMRI-sMRI fusion for SZ (n = 94), substance use with drinking (n = 313), smoking (n = 104), major depressive disorder (MDD, n = 26...
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#1Armin Iraji (The Mind Research Network)H-Index: 7
#2Noah Lewis (UNM: University of New Mexico)H-Index: 2
Last. Vince D. Calhoun (Georgia Institute of Technology)H-Index: 93
view all 8 authors...
The interactions among brain entities, commonly computed through pair-wise functional connectivity, are assumed to be manifestations of information processing which drive function. However, this focus on large-scale networks and their pair-wise temporal interactions is likely missing important information contained within fMRI data. We propose leveraging multi-connected features at both the voxel- and network-level to capture “multi-way entanglement” between networks and voxels, providing improv...
Source
#1Rongtao Jiang (CAS: Chinese Academy of Sciences)H-Index: 6
#2Vince D. Calhoun (Georgia Institute of Technology)H-Index: 93
Last. Jing SuiH-Index: 31
view all 13 authors...
: Scores on intelligence tests are strongly predictive of various important life outcomes. However, the gender discrepancy on intelligence quotient (IQ) prediction using brain imaging variables has not been studied. To this aim, we predicted individual IQ scores for males and females separately using whole-brain functional connectivity (FC). Robust predictions of intellectual capabilities were achieved across three independent data sets (680 subjects) and two intelligence measurements (IQ and fl...
7 CitationsSource
#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: 93
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...
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#1Rongtao Jiang (CAS: Chinese Academy of Sciences)H-Index: 6
#2Nianming Zuo (CAS: Chinese Academy of Sciences)H-Index: 7
Last. Jing SuiH-Index: 31
view all 12 authors...
Abstract Although both resting and task-induced functional connectivity (FC) have been used to characterize the human brain and cognitive abilities, the potential of task-induced FCs in individualized prediction for out-of-scanner cognitive traits remains largely unexplored. A recent study Greene et al. (2018) predicted the fluid intelligence scores using FCs derived from rest and multiple task conditions, suggesting that task-induced brain state manipulation improved prediction of individual tr...
4 CitationsSource
#1Shile Qi (Georgia Institute of Technology)H-Index: 5
#2Christopher C. Abbott (UNM: University of New Mexico)H-Index: 13
Last. Vince D. Calhoun (Georgia Institute of Technology)H-Index: 93
view all 13 authors...
Electroconvulsive therapy is regarded as the most effective antidepressant treatment for severe and treatment-resistant depressive episodes. Despite the efficacy of electroconvulsive therapy, the neurobiological underpinnings and mechanisms underlying electroconvulsive therapy induced antidepressant effects remain unclear. The objective of this investigation was to identify electroconvulsive therapy treatment responsive multimodal biomarkers with the 17-item Hamilton Depression Rating Scale guid...
1 CitationsSource
#1Hailun Sun (CAS: Chinese Academy of Sciences)H-Index: 1
#2Rongtao Jiang (CAS: Chinese Academy of Sciences)H-Index: 6
Last. Jing SuiH-Index: 31
view all 11 authors...
Abstract Electroconvulsive therapy (ECT) works rapidly and has been widely used to treat depressive disorders (DEP). However, identifying biomarkers predictive of response to ECT remains a priority to individually tailor treatment and understand treatment mechanisms. This study used a connectome-based predictive modeling (CPM) approach in 122 patients with DEP to determine if pre-ECT whole-brain functional connectivity (FC) predicts depressive rating changes and remission status after ECT (47 of...
3 CitationsSource
#1Jiayu ChenH-Index: 16
#2Gunter SchumannH-Index: 51
Last. Jingyu LiuH-Index: 30
view all 9 authors...
Source
#1Armin IrajiH-Index: 7
#2Ashkan FaghiriH-Index: 1
Last. Vince D. CalhounH-Index: 93
view all 9 authors...
2 CitationsSource
#1Rongtao Jiang (CAS: Chinese Academy of Sciences)H-Index: 6
#2Vince D. Calhoun (Georgia Institute of Technology)H-Index: 93
Last. Jing Sui (CAS: Chinese Academy of Sciences)H-Index: 31
view all 11 authors...
Intelligence is a socially and scientifically interesting topic because of its prominence in human behavior, yet there is little clarity on how the neuroimaging and neurobiological correlates of intelligence differ between males and females, with most investigations limited to using either mass-univariate techniques or a single neuroimaging modality. Here we employed connectome-based predictive modeling (CPM) to predict the intelligence quotient (IQ) scores for 166 males and 160 females separate...
5 CitationsSource
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