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Featured researches published by Maria Chang.


NeuroImage | 2011

Structural brain alterations associated with dyslexia predate reading onset.

Nora Maria Raschle; Maria Chang; Nadine Gaab

Functional magnetic resonance imaging studies have reported reduced activation in parietotemporal and occipitotemporal areas in adults and children with developmental dyslexia compared to controls during reading and reading related tasks. These patterns of regionally reduced activation have been linked to behavioral impairments of reading-related processes (e.g., phonological skills and rapid automatized naming). The observed functional and behavioral differences in individuals with developmental dyslexia have been complemented by reports of reduced gray matter in left parietotemporal, occipitotemporal areas, fusiform and lingual gyrus and the cerebellum. An important question for education is whether these neural differences are present before reading is taught. Developmental dyslexia can only be diagnosed after formal reading education starts. However, here we investigate whether the previously detected gray matter alterations in adults and children with developmental dyslexia can already be observed in a small group of pre-reading children with a family-history of developmental dyslexia compared to age and IQ-matched children without a family-history (N = 20/mean age: 5:9 years; age range 5:1-6:5 years). Voxel-based morphometry revealed significantly reduced gray matter volume indices for pre-reading children with, compared to children without, a family-history of developmental dyslexia in left occipitotemporal, bilateral parietotemporal regions, left fusiform gyrus and right lingual gyrus. Gray matter volume indices in left hemispheric occipitotemporal and parietotemporal regions of interest also correlated positively with rapid automatized naming. No differences between the two groups were observed in frontal and cerebellar regions. This discovery in a small group of children suggests that previously described functional and structural alterations in developmental dyslexia may not be due to experience-dependent brain changes but may be present at birth or develop in early childhood prior to reading onset. Further studies using larger sample sizes and longitudinal analyses are needed in order to determine whether the identified structural alterations may be utilized as structural markers for the early identification of children at risk, which may prevent the negative clinical, social and psychological outcome of developmental dyslexia.


Journal of Visualized Experiments | 2009

Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure

Nora Maria Raschle; Michelle Lee; Roman Buechler; Joanna A. Christodoulou; Maria Chang; Monica Vakil; Patrice L. Stering; Nadine Gaab

Within the last decade there has been an increase in the use of structural and functional magnetic resonance imaging (fMRI) to investigate the neural basis of human perception, cognition and behavior. Moreover, this non-invasive imaging method has grown into a tool for clinicians and researchers to explore typical and atypical brain development. Although advances in neuroimaging tools and techniques are apparent, (f)MRI in young pediatric populations remains relatively infrequent. Practical as well as technical challenges when imaging children present clinicians and research teams with a unique set of problems. To name just a few, the child participants are challenged by a need for motivation, alertness and cooperation. Anxiety may be an additional factor to be addressed. Researchers or clinicians need to consider time constraints, movement restriction, scanner background noise and unfamiliarity with the MR scanner environment. A progressive use of functional and structural neuroimaging in younger age groups, however, could further add to our understanding of brain development. As an example, several research groups are currently working towards early detection of developmental disorders, potentially even before children present associated behavioral characteristics. Various strategies and techniques have been reported as a means to ensure comfort and cooperation of young children during neuroimaging sessions. Play therapy, behavioral approaches and simulation, the use of mock scanner areas, basic relaxation and a combination of these techniques have all been shown to improve the participants compliance and thus MRI data quality. Even more importantly, these strategies have proven to increase the comfort of families and children involved. One of the main advances of such techniques for the clinical practice is the possibility of avoiding sedation or general anesthesia (GA) as a way to manage childrens compliance during MR imaging sessions. In the current video report, we present a pediatric neuroimaging protocol with guidelines and procedures that have proven to be successful to date in young children.


Frontiers in Human Neuroscience | 2010

The Influence of Rest Period Instructions on the Default Mode Network

Christopher Benjamin; Daniel A. Lieberman; Maria Chang; Noa Ofen; Susan Whitfield-Gabrieli; John D. E. Gabrieli; Nadine Gaab

The default mode network (DMN) refers to regional brain activity that is greater during rest periods than during attention-demanding tasks; many studies have reported DMN alterations in patient populations. It has also been shown that the DMN is suppressed by scanner background noise (SBN), which is the noise produced by functional magnetic resonance imaging (fMRI). However, it is unclear whether different approaches to “rest” in the noisy MR environment can alter the DMN and constitute a confound in studies investigating the DMN in particular patient populations (e.g., individuals with schizophrenia, Alzheimers disease). We examined 27 healthy adult volunteers who completed an fMRI experiment with three different instructions for rest: (1) relax and be still, (2) attend to SBN, or (3) ignore SBN. Region of interest analyses were performed to determine the influence of rest period instructions on core regions of the DMN and DMN regions previously reported to be altered in patients with or at risk for Alzheimers disease or schizophrenia. The dorsal medial prefrontal cortex (dmPFC) exhibited greater activity when specific resting instructions were given (i.e., attend to or ignore SBN) compared to when non-specific resting instructions were given. Condition-related differences in connectivity were also observed between regions of the dmPFC and inferior parietal/posterior superior temporal cortex. We conclude that rest period instructions and SBN levels should be carefully considered for fMRI studies on the DMN, especially studies on clinical populations and groups that may have different approaches to rest, such as first-time research participants and children.


international conference spatial cognition | 2014

Spatial reasoning in comparative analyses of physics diagrams

Maria Chang; Jon Wetzel; Kenneth D. Forbus

Spatial reasoning plays a critical role in STEM problem solving. Physics assessments, for example, are rich in diagrams and pictures, which help people understand concrete physical scenarios and abstract aspects of physical reasoning. In this paper we describe a system that analyzes sketched diagrams to solve qualitative physics problems from a popular physics textbook. Causal models describing each problem are formulated via visual and conceptual analyses of the sketched diagrams. We use a combination of qualitative and quantitative reasoning to solve vector addition, tension, and gravitation ranking problems in the introductory chapters of the book.


Ai Magazine | 2014

Using Analogy to Cluster Hand-Drawn Sketches for Sketch-Based Educational Software

Maria Chang; Kenneth D. Forbus

One of the major challenges to building intelligent educational software is determining what kinds of feedback to give learners. Useful feedback makes use of models of domain-specific knowledge, especially models that are commonly held by potential students. To empirically determine what these models are, student data can be clustered to reveal common misconceptions or common problem-solving strategies. This article describes how analogical retrieval and generalization can be used to cluster automatically analyzed hand-drawn sketches incorporating both spatial and conceptual information. We use this approach to cluster a corpus of hand-drawn student sketches to discover common answers. Common answer clusters can be used for the design of targeted feedback and for assessment.


Archive | 2015

SketchWorksheets: A Brief Summary

Kenneth D. Forbus; Jeffrey M. Usher; Maria Chang

Sketch worksheets are a new kind of sketch-based education software designed to facilitate spatial learning. Each worksheet represents a particular exercise, which the student does on a computer. Students get feedback, based on automatic comparison of their sketch with a hidden solution sketch. A software gradebook, which uses scoring rubrics in the solution sketch, is intended to help instructors in grading. Sketch worksheets have been used in classroom experiments with college students, high school students, and middle-school students. They are domain-independent, requiring only that the exercise involves visual distinctions that the software can understand. They rely on cognitive models of human visual/spatial representations and a model of human analogical matching. An authoring environment enables domain instructors to create new sketch worksheets on their own. CogSketch is freely available for download.


Alcoholism: Clinical and Experimental Research | 2006

Visual P300s in Long-Term Abstinent Chronic Alcoholics

George Fein; Maria Chang


Archive | 2010

Sketch-based Spatial Reasoning in Geologic Interpretation

Panrong Yin; Maria Chang; Kenneth D. Forbus


NeuroImage | 2009

Examining Behavioral and Neural Pre-Markers of Developmental Dyslexia in Children Prior to Reading Onset

Nora Maria Raschle; Maria Chang; M. Lee; R. Buchler; Nadine Gaab


25th International Workshop on Qualitative Reasoning | 2011

Qualitative and Quantitative Reasoning over Physics Textbook Diagrams

Maria Chang; Jon Wetzel; Kenneth D. Forbus

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Daniel A. Lieberman

Massachusetts Institute of Technology

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John D. E. Gabrieli

McGovern Institute for Brain Research

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Jon Wetzel

Northwestern University

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Noa Ofen

Wayne State University

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Susan Whitfield-Gabrieli

McGovern Institute for Brain Research

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