Jessica A. Turner
Georgia State University
PsychologyNeuroscienceComputer scienceNeuroimagingSchizophrenia
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Publications 339
#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...
#1Danai Dima (City University London)H-Index: 20
#2Efstathios Papachristou (UCL: University College London)H-Index: 9
Last. Kathryn I. AlpertH-Index: 11
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Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry. In response, we capitalised on the resources of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to examine the age-related morphometric trajectories of the ventric...
#1Yash PatelH-Index: 1
#2Nadine ParkerH-Index: 1
Last. Martine HoogmanH-Index: 25
view all 23 authors...
#1Sophia Frangou (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 62
#2Amirhossein Modabbernia (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 23
Last. Dag Alnæs (University of Oslo)H-Index: 18
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Delineating age-related cortical trajectories in healthy individuals is critical given the association of cortical thickness with cognition and behaviour. Previous research has shown that deriving robust estimates of age-related brain morphometric changes requires large-scale studies. In response, we conducted a large-scale analysis of cortical thickness in 17,075 individuals aged 3-90 years by pooling data through the Lifespan Working group of the Enhancing Neuroimaging Genetics through Meta-An...
1 CitationsSource
#2Igor NenadicH-Index: 23
Last. Yann QuidéH-Index: 8
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#1Na Luo (CAS: Chinese Academy of Sciences)H-Index: 2
#2Jing Sui (CAS: Chinese Academy of Sciences)H-Index: 31
Last. Vince D. CalhounH-Index: 93
view all 12 authors...
Exploring brain changes across the human lifespan is becoming an important topic in neuroscience. Though there are multiple studies which investigated the relationship between age and brain imaging, the results are heterogeneous due to small sample sizes and relatively narrow age ranges. Here, based on year-wise estimation of 5,967 subjects from 13 to 72 years old, we aimed to provide a more precise description of adult lifespan variation trajectories of gray matter volume (GMV), structural netw...
2 CitationsSource
#1Xiangzhen Kong (MPG: Max Planck Society)H-Index: 10
#2Merel Postema (MPG: Max Planck Society)H-Index: 1
Last. David C. GlahnH-Index: 79
view all 22 authors...
1 Citations
#1Alyssa S. Ailion (GSU: Georgia State University)H-Index: 3
#2Tricia Z. King (GSU: Georgia State University)H-Index: 15
Last. Bruce CrossonH-Index: 37
view all 7 authors...
OBJECTIVE: Right cerebellar-left frontal (RC-LF) white matter integrity (WMI) has been associated with working memory. However, prior studies have employed measures of working memory that include processing speed and attention. We examined the relationships between the RC-LF WMI and processing speed, attention, and working memory to clarify the relationship of RC-LF WMI with a specific cognitive function. Right superior longitudinal fasciculus II (SLF II) WMI and visual attention were included a...
#1Jingyu Liu (GSU: Georgia State University)
#2Kuaikuai Duan (Georgia Institute of Technology)
Last. Dirk J. Heslenfeld (VU: VU University Amsterdam)H-Index: 35
view all 14 authors...
Attention-deficit/hyperactivity disorder (ADHD) is a childhood-onset neuropsychiatric disorder, and its existence in adulthood is well established. Beyond symptoms of inattention and hyperactivity/impulsivity, patients commonly present with impairments in cognition. How neuronal underpinnings of symptoms and cognitive deficits differ across adolescence and adulthood is not clear. In this cross sectional study, we investigated gray matter of two cohorts, 486 adults and 508 adolescents, each inclu...