Brain-Imaging Project To Study Children with Autism and Dyslexia
By MedImaging staff writers Posted on 18 Feb 2008 |
A new brain-imaging project has been planned to study the origins of autism and dyslexia in children.
Two researchers at the Massachusetts Institute of Technology's (MIT) McGovern Institute for Brain Research (Cambridge, MA, USA) will head a new project to study the origins of autism and dyslexia, supported by a US$8.5 million grant from the Ellison Medical Foundation (Bethesda, MD, USA). The project leaders, Drs. Nancy Kanwisher and John Gabrieli, are experts in neuroimaging and human brain development.
Autism and dyslexia are complex brain disorders that first appear in early childhood. Autism impairs social interactions and communication, and affected individuals may engage in bizarre and repetitive behaviors. Dyslexia is a learning disorder that manifests itself as reading difficulty despite adequate education and otherwise normal perceptual and intellectual abilities.
Little is known about the causes of either disorder, although both are highly heritable. In both cases, it is thought that the earlier treatments begin, the more effectively they help the child compensate. Therefore, it is important to develop methods for early diagnosis, and scientists believe that non-invasive brain functional magnetic resonance imaging (fMRI) may help researchers learn more about these disorders.
Human neuroimaging methods have advanced greatly over the last five years, and a key emphasis of the new project will be to translate these developments to pediatric functional neuroimaging. Brain imaging with young children presents many challenges, not least of which is their inability to lie still for long periods in the MRI scanner. The McGovern investigators will collaborate with neuroimaging specialists Drs. Larry Wald, Bruce, and Ellen Grant at Massachusetts General Hospital (MGH; Boston, MA, USA), who will develop scanning coils designed specifically for children's heads, along with new procedures to shorten scan times and methods to analyze data from brains that are not yet fully developed.
"We expect these technological advances to radically improve pediatric neuroimaging and help us make major strides in understanding typical and atypical human brain development,” commented Dr. Kanwisher, an MIT professor of cognitive neuroscience, who will lead the work on autism. Dr. Gabrieli, who is an MIT professor in health sciences and technology and cognitive neuroscience, will lead the dyslexia component.
The researchers plan to evaluate a cohort of children scanning them at regular intervals to examine the development of brain systems that have been implicated in social cognition (for autism) or reading (for dyslexia). They hope to include children who, because of their family history, are at increased risk for autism or dyslexia and to compare them to controls with no special risk factors. The researchers will also look at children who have already been diagnosed, looking for characteristic markers that could be useful for diagnosing and monitoring the progression of the disorders. They also plan to examine the effects of therapeutic interventions, in the hope of identifying markers that will guide the development of more effective therapies. In the longer term, they hope to link their findings to future advances in understanding the genetics of these disorders. By combining both approaches, according to Dr. Gabrieli, it may ultimately be possible to develop genetic tests that will be easier and less expensive than brain scans.
Drs. Kanwisher and Gabrieli will also collaborate with Dr. Rebecca Saxe, assistant professor of neurobiology in the MIT department of brain and cognitive sciences, who will focus on the development of neural mechanisms for social cognition to identify the earliest stages at which infants” brains become specialized to perceive other people and understand language.
The Ellison Medical Foundation was established in 1998 by Lawrence J. Ellison, the founder and chief executive officer of Oracle. The Foundation supports basic biomedical research on aging relevant to understanding lifespan development processes and age-related diseases and disabilities, as well as scientific advancement in other research areas that are not sufficiently funded by traditional sources in the United States.
Related Links:
MIT McGovern Institute for Brain Research
Ellison Medical Foundation
Massachusetts General Hospital
Two researchers at the Massachusetts Institute of Technology's (MIT) McGovern Institute for Brain Research (Cambridge, MA, USA) will head a new project to study the origins of autism and dyslexia, supported by a US$8.5 million grant from the Ellison Medical Foundation (Bethesda, MD, USA). The project leaders, Drs. Nancy Kanwisher and John Gabrieli, are experts in neuroimaging and human brain development.
Autism and dyslexia are complex brain disorders that first appear in early childhood. Autism impairs social interactions and communication, and affected individuals may engage in bizarre and repetitive behaviors. Dyslexia is a learning disorder that manifests itself as reading difficulty despite adequate education and otherwise normal perceptual and intellectual abilities.
Little is known about the causes of either disorder, although both are highly heritable. In both cases, it is thought that the earlier treatments begin, the more effectively they help the child compensate. Therefore, it is important to develop methods for early diagnosis, and scientists believe that non-invasive brain functional magnetic resonance imaging (fMRI) may help researchers learn more about these disorders.
Human neuroimaging methods have advanced greatly over the last five years, and a key emphasis of the new project will be to translate these developments to pediatric functional neuroimaging. Brain imaging with young children presents many challenges, not least of which is their inability to lie still for long periods in the MRI scanner. The McGovern investigators will collaborate with neuroimaging specialists Drs. Larry Wald, Bruce, and Ellen Grant at Massachusetts General Hospital (MGH; Boston, MA, USA), who will develop scanning coils designed specifically for children's heads, along with new procedures to shorten scan times and methods to analyze data from brains that are not yet fully developed.
"We expect these technological advances to radically improve pediatric neuroimaging and help us make major strides in understanding typical and atypical human brain development,” commented Dr. Kanwisher, an MIT professor of cognitive neuroscience, who will lead the work on autism. Dr. Gabrieli, who is an MIT professor in health sciences and technology and cognitive neuroscience, will lead the dyslexia component.
The researchers plan to evaluate a cohort of children scanning them at regular intervals to examine the development of brain systems that have been implicated in social cognition (for autism) or reading (for dyslexia). They hope to include children who, because of their family history, are at increased risk for autism or dyslexia and to compare them to controls with no special risk factors. The researchers will also look at children who have already been diagnosed, looking for characteristic markers that could be useful for diagnosing and monitoring the progression of the disorders. They also plan to examine the effects of therapeutic interventions, in the hope of identifying markers that will guide the development of more effective therapies. In the longer term, they hope to link their findings to future advances in understanding the genetics of these disorders. By combining both approaches, according to Dr. Gabrieli, it may ultimately be possible to develop genetic tests that will be easier and less expensive than brain scans.
Drs. Kanwisher and Gabrieli will also collaborate with Dr. Rebecca Saxe, assistant professor of neurobiology in the MIT department of brain and cognitive sciences, who will focus on the development of neural mechanisms for social cognition to identify the earliest stages at which infants” brains become specialized to perceive other people and understand language.
The Ellison Medical Foundation was established in 1998 by Lawrence J. Ellison, the founder and chief executive officer of Oracle. The Foundation supports basic biomedical research on aging relevant to understanding lifespan development processes and age-related diseases and disabilities, as well as scientific advancement in other research areas that are not sufficiently funded by traditional sources in the United States.
Related Links:
MIT McGovern Institute for Brain Research
Ellison Medical Foundation
Massachusetts General Hospital
Latest MRI News
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
- MRI-First Strategy for Prostate Cancer Detection Proven Safe
- First-Of-Its-Kind 10' x 48' Mobile MRI Scanner Transforms User and Patient Experience
- New Model Makes MRI More Accurate and Reliable
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more