President Obama Pushes BRAIN Initiative Forward
|
By LabMedica International staff writers Posted on 09 Apr 2013 |
In his State of the Union address, US President Obama outlined his strategy for creating jobs and building a growing, flourishing middle class by making an historic investment in medical research and development.
“If we want to make the best products, we also have to invest in the best ideas... Every dollar we invested to map the human genome returned USD 140 to our economy... Today, our scientists are mapping the human brain to unlock the answers to Alzheimer’s… Now is not the time to gut these job-creating investments in science and innovation. Now is the time to reach a level of research and development not seen since the height of the space race,” stated President Barack Obama, in the 2013 State of the Union address.
On April 2, 2012, at the White House, the President revealed an intrepid new research initiative designed to transform understanding of the human brain. Initiated with about USD 100 million in the President’s Fiscal Year 2014 Budget, the BRAIN (Brain Research through Advancing Innovative Neurotechnologies) Initiative’s goal to help researchers find new ways to treat, cure, and even prevent brain disorders, such as epilepsy, Alzheimer’s disease, and traumatic brain injury.
The BRAIN Initiative is designed to hasten the development and application of new technologies that will enable researchers to produce dynamic pictures of the brain that show how individual brain cells and complex neural circuits interact at the speed of thought. These technologies will create new ways to examine how the brain records, processes, uses, stores, retrieves vast quantities of information, and provide insights into the complex ties between behavior and brain function.
This initiative is one of the Administration’s “Grand Challenges” goals that require new developments in science and technology. In his address, the President called on research universities, companies, research foundations, and philanthropists to join with him in identifying and pursuing the Grand Challenges of the 21st century.
The BRAIN Initiative includes: major investments to jumpstart the effort: The US National Institutes of Health (NIH; Bethesda, MD, USA), the Defense Advanced Research Projects Agency (DARPA; Arlington, VA, USA) , and the US National Science Foundation (Arlington, VA, USA) will support approximately USD 100 million in research beginning in FY 2014. Strong academic leadership: The NIH will establish a high-level working group cochaired by Dr. Cornelia Bargmann (The Rockefeller University; New York, NY, USA) and Dr. William Newsome (Stanford University; Stanford, CA, USA) to clarify detailed scientific goals for the NIH’s investment, and to develop a multiyear scientific plan for achieving these goals, including timetables, milestones, and cost estimates.
In the 10 years alone, scientists have made a number of landmark discoveries that now create the opportunity to gain further knowledge of the brain, including the sequencing of the human genome, the increasing resolution of imaging technologies, the development of new tools for mapping neuronal connections, and the expansion of nanoscience. These innovations have offered a chance for unprecedented collaboration and discovery across scientific fields. For instance, by combining sophisticated genetic and optical technologies, scientists can now use pulses of light to determine how specific cell activities in the brain affect behavior. Moreover, through the integration of neuroscience and physics, researchers can now use high-resolution imaging technologies to observe how the brain is structurally and functionally connected in living humans.
Whereas these technologic contributions have substantially added to expanding knowledge of the brain, significant breakthroughs in how physicians treat neurologic and psychiatric disease will require a new generation of applications to enable researchers to map signals from brain cells in much greater numbers and at even faster speeds. This cannot presently be accomplished, but great potential for developing such technologies lies at the crossroads of imaging, nanoscience, engineering, informatics, and other rapidly budding fields of science and engineering.
Related Links:
US National Institutes of Health
US Defense Advanced Research Projects Agency
US National Science Foundation
“If we want to make the best products, we also have to invest in the best ideas... Every dollar we invested to map the human genome returned USD 140 to our economy... Today, our scientists are mapping the human brain to unlock the answers to Alzheimer’s… Now is not the time to gut these job-creating investments in science and innovation. Now is the time to reach a level of research and development not seen since the height of the space race,” stated President Barack Obama, in the 2013 State of the Union address.
On April 2, 2012, at the White House, the President revealed an intrepid new research initiative designed to transform understanding of the human brain. Initiated with about USD 100 million in the President’s Fiscal Year 2014 Budget, the BRAIN (Brain Research through Advancing Innovative Neurotechnologies) Initiative’s goal to help researchers find new ways to treat, cure, and even prevent brain disorders, such as epilepsy, Alzheimer’s disease, and traumatic brain injury.
The BRAIN Initiative is designed to hasten the development and application of new technologies that will enable researchers to produce dynamic pictures of the brain that show how individual brain cells and complex neural circuits interact at the speed of thought. These technologies will create new ways to examine how the brain records, processes, uses, stores, retrieves vast quantities of information, and provide insights into the complex ties between behavior and brain function.
This initiative is one of the Administration’s “Grand Challenges” goals that require new developments in science and technology. In his address, the President called on research universities, companies, research foundations, and philanthropists to join with him in identifying and pursuing the Grand Challenges of the 21st century.
The BRAIN Initiative includes: major investments to jumpstart the effort: The US National Institutes of Health (NIH; Bethesda, MD, USA), the Defense Advanced Research Projects Agency (DARPA; Arlington, VA, USA) , and the US National Science Foundation (Arlington, VA, USA) will support approximately USD 100 million in research beginning in FY 2014. Strong academic leadership: The NIH will establish a high-level working group cochaired by Dr. Cornelia Bargmann (The Rockefeller University; New York, NY, USA) and Dr. William Newsome (Stanford University; Stanford, CA, USA) to clarify detailed scientific goals for the NIH’s investment, and to develop a multiyear scientific plan for achieving these goals, including timetables, milestones, and cost estimates.
In the 10 years alone, scientists have made a number of landmark discoveries that now create the opportunity to gain further knowledge of the brain, including the sequencing of the human genome, the increasing resolution of imaging technologies, the development of new tools for mapping neuronal connections, and the expansion of nanoscience. These innovations have offered a chance for unprecedented collaboration and discovery across scientific fields. For instance, by combining sophisticated genetic and optical technologies, scientists can now use pulses of light to determine how specific cell activities in the brain affect behavior. Moreover, through the integration of neuroscience and physics, researchers can now use high-resolution imaging technologies to observe how the brain is structurally and functionally connected in living humans.
Whereas these technologic contributions have substantially added to expanding knowledge of the brain, significant breakthroughs in how physicians treat neurologic and psychiatric disease will require a new generation of applications to enable researchers to map signals from brain cells in much greater numbers and at even faster speeds. This cannot presently be accomplished, but great potential for developing such technologies lies at the crossroads of imaging, nanoscience, engineering, informatics, and other rapidly budding fields of science and engineering.
Related Links:
US National Institutes of Health
US Defense Advanced Research Projects Agency
US National Science Foundation
Latest BioResearch News
- Lung Cancer Study Reveals Cellular Program Behind Therapy Resistance
- Tumor Genome Marker May Predict Treatment Benefit in Pediatric Cancers
- Lysosomal Gene Defect Linked to Severe Childhood Brain Disorders
- Genetic Testing Identifies Greater Inherited Sudden Cardiac Arrest Risk in Younger Individuals
- Hidden 'Jumping Gene' Variant Linked to Higher Pancreatic Cancer Risk
- Common White Blood Cells Produce Schizophrenia-Linked Protein
- Nanopore Method Captures RNA Folding at Single-Molecule Resolution
- Tumor Microenvironment Marker Linked to Worse Survival in Solid Tumors
- Hidden Immune Gene Defect May Explain Kaposi Sarcoma Susceptibility
- Genetic Markers May Help Predict Amputation Risk in Peripheral Artery Disease
- Gene Signature Shows Promise for Depression Biomarker Testing
- AI-Driven Tumor Profiling Initiative Targets Precision Therapy Development
- Researchers Map Protein and Glycosylation Across 15 Human Body Fluids
- Telomere Length Abnormalities Linked to Lymphoma Development
- Biomarker Signals Chemotherapy Resistance in Relapsed Small Cell Lung Cancer
- Inflammatory Gene Signature Links Metabolic Disease to Pancreatic Cancer Recurrence
Channels
Clinical Chemistry
view channel
Simple Blood-Based Cholesterol Efflux Assay Identifies High-Risk Coronary Plaque Features
Unstable coronary plaques are difficult to identify before they trigger acute cardiovascular events. Standard high-density lipoprotein (HDL) measurements do not always capture how well HDL particles function... Read more
Plasma Vitamin C Levels Associated with Brain Structure and Connectivity in Aging
Previous studies have linked vitamin C–rich diets with lower risk of cognitive impairment in older adults. However, few investigations have directly examined blood plasma vitamin C in relation to brain... Read more
Mass Spectrometry Detects Tumor Metabolites for Cancer Monitoring
Cancer’s altered metabolism complicates how clinicians detect and monitor tumors, because nutrient use can shift with context and time. Measuring small-molecule metabolites that distinguish malignant from... Read more
Urinary Biomarker Assay Predicts Kidney Disease Progression Beyond Standard Measures
Many patients with type 2 diabetes and chronic kidney disease continue to experience progressive renal decline, yet conventional markers such as albuminuria and estimated glomerular filtration rate (eGFR)... Read moreMolecular Diagnostics
view channel
Ultrasensitive HPV Blood Test Predicts Early Recurrence in Head and Neck Cancer
Human papillomavirus (HPV)-associated head and neck cancers are frequently treated with surgery, but some patients experience recurrence due to residual microscopic disease. Postoperative decisions about... Read more
New Library Normalization and Amplification Tools Support Oncology Sequencing
High-throughput next-generation sequencing (NGS) laboratories continue to grapple with uneven library pooling and amplification artifacts that can degrade variant calling accuracy and increase reruns.... Read moreHematology
view channel
Next-Generation Hematology Platform Streamlines High-Complexity Lab Workflows
Sysmex America (Chicago, IL, USA) has introduced the next generation XR-Series, centered on the XR-10 Automated Hematology Module for high-complexity laboratories. The platform builds on the widely used... Read more
Blood Eosinophil Count May Predict Cancer Immunotherapy Response and Toxicity
Immune checkpoint inhibitors have improved outcomes across many cancers, yet only a subset of patients derive durable benefit and biomarkers to guide treatment remain limited. Eosinophils, best known for... Read moreImmunology
view channelAptamer-Based Biosensor Enables Mutation-Resilient SARS-CoV-2 Detection
Rapid evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can undermine existing molecular diagnostics, especially when assays target small viral components. Double-antibody sandwich... Read more
Study Points to Autoimmune Pathway Behind Long COVID Symptoms
Long COVID leaves many SARS-CoV-2 survivors with persistent fatigue, cognitive issues, palpitations, and musculoskeletal pain for months or years. Estimates cited in new research suggest 4%–20% of infected... Read more
Metabolic Biomarker Distinguishes Latent from Active Tuberculosis and Tracks Treatment Response
Tuberculosis (TB) remains the world’s leading infectious killer, with 10.8 million cases and 1.25 million deaths recorded globally in 2023. Yet many infected individuals never develop active disease, underscoring... Read moreMicrobiology
view channel
TORCH Infection Trends Point to Need for Tailored Screening in Pregnancy
Congenital TORCH infections can be asymptomatic during pregnancy yet cause stillbirth, birth defects, and lifelong disability in infants. Many regions still lack robust surveillance to guide testing and... Read more
New Culture Medium Speeds C. difficile Resistance Detection and Reduces Costs
Clostridioides difficile infections remain a persistent threat in hospitals and communities, affecting about 500,000 people in the United States each year. Severe cases can be fatal within 30 days of diagnosis,... Read morePathology
view channel
Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer
Accurate assessment of human epidermal growth factor receptor 2 (HER2) is critical for breast cancer diagnosis and treatment selection, yet scoring variability and infrastructure requirements can complicate... Read more
AI Tool Speeds Brain Tumor Classification from Routine Histology Slides
Accurate classification of brain and spinal cord tumors increasingly depends on molecular profiling alongside histology, but access to such testing remains limited and results can take about two weeks.... Read more
IHC Companion Diagnostic Standardizes Mismatch Repair Testing for Cancer Immunotherapy
Deficient DNA mismatch repair is an established predictive biomarker for response to immune checkpoint inhibitors, yet access to standardized assessment has varied across tumor types. Cancer remains the... Read moreTechnology
view channel
AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
Oncology teams must manage growing volumes of genomic data, rapidly evolving clinical trial options, and frequently updated care guidelines, all within tight clinic schedules. Translating complex tumor... Read more
Agentic AI Platform Supports Genomic Decision-Making in Oncology
Oncology care teams increasingly face the challenge of managing complex molecular diagnostics, evolving treatment options, and extensive electronic health record documentation. Translating multimodal data... Read moreIndustry
view channel
Open-Source Consortium Aims to Standardize Digital Pathology Workflows
Digital pathology is expanding rapidly as laboratories adopt whole-slide imaging and computational tools to meet growing diagnostic and biomarker-testing demand. However, fragmented software infrastructure... Read more








