Match!

Disrupted white matter connectivity underlying developmental dyslexia: A machine learning approach

Published on Apr 1, 2016in Human Brain Mapping4.554
· DOI :10.1002/hbm.23112
Zaixu Cui8
Estimated H-index: 8
(McGovern Institute for Brain Research),
Zhichao Xia6
Estimated H-index: 6
(McGovern Institute for Brain Research)
+ 2 AuthorsGaolang Gong29
Estimated H-index: 29
(McGovern Institute for Brain Research)
Sources
Abstract
Developmental dyslexia has been hypothesized to result from multiple causes and exhibit multiple manifestations, implying a distributed multidimensional effect on human brain. The disruption of specific white-matter (WM) tracts/regions has been observed in dyslexic children. However, it remains unknown if developmental dyslexia affects the human brain WM in a multidimensional manner. Being a natural tool for evaluating this hypothesis, the multivariate machine learning approach was applied in this study to compare 28 school-aged dyslexic children with 33 age-matched controls. Structural magnetic resonance imaging (MRI) and diffusion tensor imaging were acquired to extract five multitype WM features at a regional level: white matter volume, fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity. A linear support vector machine (LSVM) classifier achieved an accuracy of 83.61% using these MRI features to distinguish dyslexic children from controls. Notably, the most discriminative features that contributed to the classification were primarily associated with WM regions within the putative reading network/system (e.g., the superior longitudinal fasciculus, inferior fronto-occipital fasciculus, thalamocortical projections, and corpus callosum), the limbic system (e.g., the cingulum and fornix), and the motor system (e.g., the cerebellar peduncle, corona radiata, and corticospinal tract). These results were well replicated using a logistic regression classifier. These findings provided direct evidence supporting a multidimensional effect of developmental dyslexia on WM connectivity of human brain, and highlighted the involvement of WM tracts/regions beyond the well-recognized reading system in dyslexia. Finally, the discriminating results demonstrated a potential of WM neuroimaging features as imaging markers for identifying dyslexic individuals. Hum Brain Mapp 37:1443-1458, 2016. © 2016 Wiley Periodicals, Inc.
Figures & Tables
  • References (117)
  • Citations (43)
📖 Papers frequently viewed together
223 Citations
1,044 Citations
294 Citations
78% of Scinapse members use related papers. After signing in, all features are FREE.
References117
Newest
#1Yan JinH-Index: 15
#2Chong Yaw Wee (UNC: University of North Carolina at Chapel Hill)H-Index: 26
Last. Dou ShenH-Index: 84
view all 7 authors...
Autism spectrum disorder (ASD) is a wide range of disabilities that cause life-long cognitive impairment and social, communication, and behavioral challenges. Early diagnosis and medical intervention are important for improving the life quality of autistic patients. However, in the current practice, diagnosis often has to be delayed until the behavioral symptoms become evident during childhood. In this study, we demonstrate the feasibility of using machine learning techniques for identifying hig...
38 CitationsSource
#1Matthias SchurzH-Index: 18
#2Heinz WimmerH-Index: 52
Last. Martin KronbichlerH-Index: 33
view all 6 authors...
Reading requires the interaction between multiple cognitive processes situated in distant brain areas. This makes the study of functional brain connectivity highly relevant for understanding developmental dyslexia. We used seed-voxel correlation mapping to analyse connectivity in a left-hemispheric network for task-based and resting-state fMRI data. Our main finding was reduced connectivity in dyslexic readers between left posterior temporal areas (fusiform, inferior temporal, middle temporal, s...
70 CitationsSource
#1Margaret M. Gullick (NU: Northwestern University)H-Index: 9
#2James R. Booth (NU: Northwestern University)H-Index: 28
ABSTRACT Structural coherence across the arcuate fasciculus has previously been related to reading skill, but the arcuate may be divisible into distinct subtracts which support different functions. Here, we examine longitudinal data from 30 children between the ages of 8 and 14 to determine whether initial coherence in any of the arcuate's subsections is predictive of changes in reading across a longitudinal interval of approximately three years. The arcuate was divided using probabilistic tract...
22 CitationsSource
#1Katherine E. Travis (Stanford University)H-Index: 12
#2Yael Leitner (Tel Aviv Sourasky Medical Center)H-Index: 20
Last. Michal Ben-Shachar (BIU: Bar-Ilan University)H-Index: 19
view all 4 authors...
Reading is a critical life skill in the modern world. The neural basis of reading incorporates a distributed network of cortical areas and their white matter connections. The cerebellum has also been implicated in reading and reading disabilities. However, little is known about the contribution of cerebellar white matter pathways to major component skills of reading. We used diffusion magnetic resonance imaging (dMRI) with tractography to identify the cerebellar peduncles in a group of 9–17 year...
31 CitationsSource
#1Vanessa Douet (U.H.: University of Hawaii at Manoa)H-Index: 17
#2Linda Chang (U.H.: University of Hawaii at Manoa)H-Index: 71
The fornix is a part of the limbic system and constitutes the major efferent and afferent white matter tracts from the hippocampi. The underdevelopment of or injuries to the fornix are strongly associated with memory deficits. Its role in memory impairments was suggested long ago with cases of surgical forniceal transaction. However, recent advances in brain imaging techniques, such as diffusion tensor imaging; enabling more qualitative and quantitative studies, have revealed that macrostructura...
27 CitationsSource
#1Tim Hahn (Goethe University Frankfurt)H-Index: 22
#2Tilo Kircher (University of Marburg)H-Index: 51
Last. Ulrike Lueken (TUD: Dresden University of Technology)H-Index: 19
view all 11 authors...
Importance Although neuroimaging research has made substantial progress in identifying the large-scale neural substrate of anxiety disorders, its value for clinical application lags behind expectations. Machine-learning approaches have predictive potential for individual-patient prognostic purposes and might thus aid translational efforts in psychiatric research. Objective To predict treatment response to cognitive behavioral therapy (CBT) on an individual-patient level based on functional magne...
51 CitationsSource
#1Chelsea A. Myers (UCSF: University of California, San Francisco)H-Index: 4
#2Maaike Vandermosten (Katholieke Universiteit Leuven)H-Index: 17
Last. Fumiko Hoeft (UCSF: University of California, San Francisco)H-Index: 39
view all 12 authors...
This study examined whether variations in brain development between kindergarten and Grade 3 predicted individual differences in reading ability at Grade 3. Structural MRI measurements indicated that increases in the volume of two left temporo-parietal white matter clusters are unique predictors of reading outcomes above and beyond family history, socioeconomic status, and cognitive and preliteracy measures at baseline. Using diffusion MRI, we identified the left arcuate fasciculus and superior ...
51 CitationsSource
#1Emily S. Finn (Yale University)H-Index: 15
#2Xilin Shen (Yale University)H-Index: 20
Last. R. Todd Constable (Yale University)H-Index: 84
view all 9 authors...
Background Functional connectivity analyses of functional magnetic resonance imaging data are a powerful tool for characterizing brain networks and how they are disrupted in neural disorders. However, many such analyses examine only one or a small number of a priori seed regions. Studies that consider the whole brain frequently rely on anatomic atlases to define network nodes, which might result in mixing distinct activation timecourses within a single node. Here, we improve upon previous method...
91 CitationsSource
#1Robert Whelan (UVM: University of Vermont)H-Index: 30
#2Richard E. Watts (UVM: University of Vermont)H-Index: 33
Last. Hugh Garavan (UVM: University of Vermont)H-Index: 68
view all 33 authors...
A comprehensive account of the causes of alcohol misuse must accommodate individual differences in biology, psychology and environment, and must disentangle cause and effect. Animal models1 can demonstrate the effects of neurotoxic substances; however, they provide limited insight into the psycho-social and higher cognitive factors involved in the initiation of substance use and progression to misuse. One can search for pre-existing risk factors by testing for endophenotypic biomarkers2 in non-u...
191 CitationsSource
#1Fei Li (Sichuan University)H-Index: 11
#2Xiaoqi Huang (Sichuan University)H-Index: 37
Last. Qiyong Gong (Sichuan University)H-Index: 62
view all 8 authors...
Diffusion tensor imaging (DTI) studies have revealed group differences in white matter between patients with obsessive-compulsive disorder (OCD) and healthy controls. However, the results of these studies were based on average differences between the two groups, and therefore had limited clinical applicability. The objective of this study was to investigate whether fractional anisotropy (FA) of white matter can be used to discriminate between patients with OCD and healthy controls at the level o...
33 CitationsSource
Cited By43
Newest
#1Daniel Kristanto (Hong Kong Baptist University)
#2Mianxin Liu (Hong Kong Baptist University)H-Index: 1
Last. Changsong Zhou (Hong Kong Baptist University)H-Index: 39
view all 5 authors...
Abstract Reading is a complex task involving different brain areas. As a crystallized ability, reading is also known to have effects on brain structure and function development. However, there are still open questions about what are the elements of the reading networks and how structural and functional brain measures shape the reading ability. The present study used a data-driven approach to investigate whether reading-related brain structural measures of cortical thickness, myelination, sulcus ...
Source
#1Guanmin Liu (THU: Tsinghua University)
#2Zaixu Cui (UPenn: University of Pennsylvania)H-Index: 3
Last. Jie Sui (Aberd.: University of Aberdeen)H-Index: 19
view all 8 authors...
Gratitude and joy are critical for promoting well-being. However, the differences between the two emotions and corresponding neural correlates are not understood. Here we addressed these issues by eliciting the two emotions using the same stimuli in an fMRI task. In this help reception task, participants imagined them in a situation where they need financial aid. Critically, we manipulated the benefactor’s intention to provide help and the value of the benefit. Behaviorally, gratitude was strong...
Source
#1Ziliang Wang (McGovern Institute for Brain Research)H-Index: 3
#2Haohao Dong (ZJNU: Zhejiang Normal University)
Last. Guangheng Dong (Hangzhou Normal University)H-Index: 20
view all 5 authors...
Objectives: Understanding the neural mechanisms underlying Internet gaming disorder (IGD) is essential for the condition's diagnosis and treatment. Nevertheless, the pathological mechanisms of IGD remain elusive at present. Hence, we employed multi-voxel pattern analysis (MVPA) and spectral dynamic causal modeling (spDCM) to explore this issue. Methods: Resting-state fMRI data were collected from 103 IGD subjects (male = 57) and 99 well-matched recreational game users (RGUs, male = 51). Regional...
Source
Last. Yu Zhang (THU: Tsinghua University)H-Index: 12
view all 6 authors...
Math anxiety (MA), i.e. a trait factor describing the feelings of tension, apprehension, and fear during mathematics-related situations, has attracted increasing interest in recent years, due to its importance in people’s daily life and career development, especially in our modern digital world. Although the measurement of individuals’ trait MA has mostly relied on self-reported psychological scales, emerging studies are seeking for objective measurement by using behavioral or neurophysiological...
Source
#1Haichao Zhao (Beihang University)
#2Ofir Turel (SC: University of Southern California)H-Index: 28
Last. Qinghua HeH-Index: 19
view all 5 authors...
Abstract The attenuated inhibitory control of smokers is a stumbling block for treating nicotine dependence. Unfortunately, smokers are often exposed to cigarette-related salient cues, which may violate homeostasis, override self-control, and lead to relapse. To understand the mechanisms underlying these associations, we investigate the cognitive and neural processes of inhibitory control (including proactive and reactive inhibition) of smoking cues in abstinent smokers. Twenty-six smokers compl...
Source
#1Sujung YoonH-Index: 14
#2Jungyoon KimH-Index: 5
Last. In Kyoon LyooH-Index: 51
view all 8 authors...
The propensity to engage in risky behaviors including excessive alcohol consumption may impose increased medical, emotional, and psychosocial burdens. Personality and behavioral traits of individuals may contribute in part to the involvement in risky behaviors, and therefore the classification of one's traits may help identify those who are at risk for future onset of the addictive disorder and related behavioral issues such as alcohol misuse. Personality and behavioral characteristics including...
Source
The pathological risk degree of gastrointestinal stromal tumors (GISTs) has become an issue of great concern. Computed tomography (CT) is beneficial for showing adjacent tissues in detail and determining metastasis or recurrence of GISTs, but its function is still limited. Radiomics has recently shown a great potential in aiding clinical decision-making. The purpose of our study is to develop and validate CT-based radiomics models for GIST risk stratification. Three hundred and sixty-six patient...
Source
#1Zhi-yao Tian (HUST: Huazhong University of Science and Technology)H-Index: 1
#2Long Qian (PKU: Peking University)H-Index: 1
Last. Miao Wan (HUST: Huazhong University of Science and Technology)H-Index: 1
view all 12 authors...
Abstract The application of resting state functional MRI (RS-fMRI) in Parkinson’s disease (PD) was widely performed using standard statistical tests, however, the machine learning (ML) approach has not yet been investigated in PD using RS-fMRI. In current study, we utilized the mean regional amplitude values as the features in patients with PD (n = 72) and in healthy controls (HC, n = 89). The t-test and linear support vector machine were employed to select the features and make prediction, resp...
1 CitationsSource
Background The medical imaging to differentiate World Health Organization (WHO) grade II (ODG2) from III (ODG3) oligodendrogliomas still remains a challenge. We investigated whether combination of machine leaning with radiomics from conventional T1 contrast-enhanced (T1 CE) and fluid attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) offered superior efficacy.
Source
#1Nikita Nogovitsyn (Centre for Mental Health)H-Index: 1
#1Nikita Nogovitsyn (Centre for Mental Health)
Last. Catherine Lebel (Alberta Children's Hospital)H-Index: 24
view all 16 authors...
AIM: Alterations in limbic structures may be present before the onset of serious mental illness, but whether subfield-specific limbic brain changes parallel stages in clinical risk is unknown. To address this gap, we compared the hippocampus, amygdala, and thalamus subfield-specific volumes in adolescents at various stages of risk for mental illness. METHODS: MRI scans were obtained from 182 participants (aged 12-25 years) from the Canadian Psychiatric Risk and Outcome study. The sample comprise...
Source