Brain Region That Distinguishes Amounts Mapped
|
By LabMedica International staff writers Posted on 07 Oct 2013 |
In comparing amounts of things, humans employ a brain region that is organized topographically, researchers have found using advanced imaging technology. Meaning, the neurons that work to make this “numerosity” evaluation are laid out in a shape that allows those most closely connected to communicate and interact over the shortest possible distance.
This layout, referred to as a topographic map, is characteristic of all primary senses and scientists have long believed that numerosity, while not a primary sense (but perceived similarly to one), might also be characterized by such a map. However, they have not been able to find it, a fact, which has caused some doubt in the field as to whether a map for numerosity exists. Now, however, Utrecht University’s (The Netherlands) Dr. Benjamin Harvey, working with his colleagues, has found signals that illustrate the hypothesized numerosity map is tangible.
Numerosity is different from symbolic numbers. “We use symbolic numbers to represent numerosity and other aspects of magnitude, but the symbol itself is only a representation,” Harvey said. He went on to explain that numerosity selectivity in the brain is derived from visual processing of image features, where symbolic number selectivity results from recognizing the shapes of written words, numerals, and linguistic sounds that represent numbers. “This latter task relies on very different parts of the brain that specialize in written and spoken language.”
Determining whether the brain’s processing of numerosity and symbolic numbers is linked, as one may think, is only one area that will be better informed by Dr. Harvey’s new map. To reveal it, he and his colleagues asked eight adult study participants to look at patterns of dots that varied in number over time, all the while analyzing the neural response characteristics in a numerosity-linked part of their brain using high-field functional magnetic resonance imaging (fMRI). Use of this advanced neuroimaging modality allowed them to scan the subjects for a lot less hours per sitting than would have been required with a less powerful scanning technology.
With the fMRI data that resulted, Dr. Harvey and his team employed population receptive field modeling, with a goal of measuring neural response as straightforwardly and quantitatively as possible. “This was the key to our success,” Dr. Harvey said. It allowed the researchers to model the human fMRI response properties they observed following results if recordings from macaque neurons, in which numerosity research had been conducted more comprehensively.
The investigators’ research revealed a topographic arrangement of numerosity in the human brain; the small amounts of dots the participants saw were encoded by neurons in one part of the brain, and the larger quantities, in another region. This finding demonstrates that topography can emerge not just for lower-level cognitive functions, like the primary senses, but also for higher-level cognitive functions. “We are very excited that association cortex can produce emergent topographic structures,” Dr. Harvey said.
Because scientists know a lot about topographic maps and have the tools to probe them, this research may help them better analyze the neural computation that is the basis of number processing. “We believe this will lead to a much more complete understanding of humans’ unique numerical and mathematical skills,” Dr. Harvey said.
Dr. Harvey and colleagues were amazed that they were able to obtain the findings they did, noting that the task was complicated. They also found the variations between their subjects interesting. “Every individual brain is a complex and very different system,” Dr. Harvey explained. “I was very surprised then that the map we report is in such a consistent location between our subjects, and that numerosity preferences always increased in the same direction along the cortex. On the other hand, the extent of individual differences … is also striking.” Harvey explained that understanding the consequences of these differences for their subjects’ perception or task performance would require further study.
The study’s findings were published September 6, 2013, in Science.
Related Links:
Utrecht University
This layout, referred to as a topographic map, is characteristic of all primary senses and scientists have long believed that numerosity, while not a primary sense (but perceived similarly to one), might also be characterized by such a map. However, they have not been able to find it, a fact, which has caused some doubt in the field as to whether a map for numerosity exists. Now, however, Utrecht University’s (The Netherlands) Dr. Benjamin Harvey, working with his colleagues, has found signals that illustrate the hypothesized numerosity map is tangible.
Numerosity is different from symbolic numbers. “We use symbolic numbers to represent numerosity and other aspects of magnitude, but the symbol itself is only a representation,” Harvey said. He went on to explain that numerosity selectivity in the brain is derived from visual processing of image features, where symbolic number selectivity results from recognizing the shapes of written words, numerals, and linguistic sounds that represent numbers. “This latter task relies on very different parts of the brain that specialize in written and spoken language.”
Determining whether the brain’s processing of numerosity and symbolic numbers is linked, as one may think, is only one area that will be better informed by Dr. Harvey’s new map. To reveal it, he and his colleagues asked eight adult study participants to look at patterns of dots that varied in number over time, all the while analyzing the neural response characteristics in a numerosity-linked part of their brain using high-field functional magnetic resonance imaging (fMRI). Use of this advanced neuroimaging modality allowed them to scan the subjects for a lot less hours per sitting than would have been required with a less powerful scanning technology.
With the fMRI data that resulted, Dr. Harvey and his team employed population receptive field modeling, with a goal of measuring neural response as straightforwardly and quantitatively as possible. “This was the key to our success,” Dr. Harvey said. It allowed the researchers to model the human fMRI response properties they observed following results if recordings from macaque neurons, in which numerosity research had been conducted more comprehensively.
The investigators’ research revealed a topographic arrangement of numerosity in the human brain; the small amounts of dots the participants saw were encoded by neurons in one part of the brain, and the larger quantities, in another region. This finding demonstrates that topography can emerge not just for lower-level cognitive functions, like the primary senses, but also for higher-level cognitive functions. “We are very excited that association cortex can produce emergent topographic structures,” Dr. Harvey said.
Because scientists know a lot about topographic maps and have the tools to probe them, this research may help them better analyze the neural computation that is the basis of number processing. “We believe this will lead to a much more complete understanding of humans’ unique numerical and mathematical skills,” Dr. Harvey said.
Dr. Harvey and colleagues were amazed that they were able to obtain the findings they did, noting that the task was complicated. They also found the variations between their subjects interesting. “Every individual brain is a complex and very different system,” Dr. Harvey explained. “I was very surprised then that the map we report is in such a consistent location between our subjects, and that numerosity preferences always increased in the same direction along the cortex. On the other hand, the extent of individual differences … is also striking.” Harvey explained that understanding the consequences of these differences for their subjects’ perception or task performance would require further study.
The study’s findings were published September 6, 2013, in Science.
Related Links:
Utrecht University
Latest BioResearch News
- Genome Analysis Predicts Likelihood of Neurodisability in Oxygen-Deprived Newborns
- Gene Panel Predicts Disease Progession for Patients with B-cell Lymphoma
- New Method Simplifies Preparation of Tumor Genomic DNA Libraries
- New Tool Developed for Diagnosis of Chronic HBV Infection
- Panel of Genetic Loci Accurately Predicts Risk of Developing Gout
- Disrupted TGFB Signaling Linked to Increased Cancer-Related Bacteria
- Gene Fusion Protein Proposed as Prostate Cancer Biomarker
- NIV Test to Diagnose and Monitor Vascular Complications in Diabetes
- Semen Exosome MicroRNA Proves Biomarker for Prostate Cancer
- Genetic Loci Link Plasma Lipid Levels to CVD Risk
- Newly Identified Gene Network Aids in Early Diagnosis of Autism Spectrum Disorder
- Link Confirmed between Living in Poverty and Developing Diseases
- Genomic Study Identifies Kidney Disease Loci in Type I Diabetes Patients
- Liquid Biopsy More Effective for Analyzing Tumor Drug Resistance Mutations
- New Liquid Biopsy Assay Reveals Host-Pathogen Interactions
- Method Developed for Enriching Trophoblast Population in Samples
Channels
Clinical Chemistry
view channel
New PSA-Based Prognostic Model Improves Prostate Cancer Risk Assessment
Prostate cancer is the second-leading cause of cancer death among American men, and about one in eight will be diagnosed in their lifetime. Screening relies on blood levels of prostate-specific antigen... Read more
Extracellular Vesicles Linked to Heart Failure Risk in CKD Patients
Chronic kidney disease (CKD) affects more than 1 in 7 Americans and is strongly associated with cardiovascular complications, which account for more than half of deaths among people with CKD.... Read moreMolecular Diagnostics
view channel
Diagnostic Device Predicts Treatment Response for Brain Tumors Via Blood Test
Glioblastoma is one of the deadliest forms of brain cancer, largely because doctors have no reliable way to determine whether treatments are working in real time. Assessing therapeutic response currently... Read more
Blood Test Detects Early-Stage Cancers by Measuring Epigenetic Instability
Early-stage cancers are notoriously difficult to detect because molecular changes are subtle and often missed by existing screening tools. Many liquid biopsies rely on measuring absolute DNA methylation... Read more
“Lab-On-A-Disc” Device Paves Way for More Automated Liquid Biopsies
Extracellular vesicles (EVs) are tiny particles released by cells into the bloodstream that carry molecular information about a cell’s condition, including whether it is cancerous. However, EVs are highly... Read more
Blood Test Identifies Inflammatory Breast Cancer Patients at Increased Risk of Brain Metastasis
Brain metastasis is a frequent and devastating complication in patients with inflammatory breast cancer, an aggressive subtype with limited treatment options. Despite its high incidence, the biological... Read moreHematology
view channel
New Guidelines Aim to Improve AL Amyloidosis Diagnosis
Light chain (AL) amyloidosis is a rare, life-threatening bone marrow disorder in which abnormal amyloid proteins accumulate in organs. Approximately 3,260 people in the United States are diagnosed... Read more
Fast and Easy Test Could Revolutionize Blood Transfusions
Blood transfusions are a cornerstone of modern medicine, yet red blood cells can deteriorate quietly while sitting in cold storage for weeks. Although blood units have a fixed expiration date, cells from... Read more
Automated Hemostasis System Helps Labs of All Sizes Optimize Workflow
High-volume hemostasis sections must sustain rapid turnaround while managing reruns and reflex testing. Manual tube handling and preanalytical checks can strain staff time and increase opportunities for error.... Read more
High-Sensitivity Blood Test Improves Assessment of Clotting Risk in Heart Disease Patients
Blood clotting is essential for preventing bleeding, but even small imbalances can lead to serious conditions such as thrombosis or dangerous hemorrhage. In cardiovascular disease, clinicians often struggle... Read moreImmunology
view channelBlood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug
Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read more
Whole-Genome Sequencing Approach Identifies Cancer Patients Benefitting From PARP-Inhibitor Treatment
Targeted cancer therapies such as PARP inhibitors can be highly effective, but only for patients whose tumors carry specific DNA repair defects. Identifying these patients accurately remains challenging,... Read more
Ultrasensitive Liquid Biopsy Demonstrates Efficacy in Predicting Immunotherapy Response
Immunotherapy has transformed cancer treatment, but only a small proportion of patients experience lasting benefit, with response rates often remaining between 10% and 20%. Clinicians currently lack reliable... Read moreMicrobiology
view channel
Comprehensive Review Identifies Gut Microbiome Signatures Associated With Alzheimer’s Disease
Alzheimer’s disease affects approximately 6.7 million people in the United States and nearly 50 million worldwide, yet early cognitive decline remains difficult to characterize. Increasing evidence suggests... Read moreAI-Powered Platform Enables Rapid Detection of Drug-Resistant C. Auris Pathogens
Infections caused by the pathogenic yeast Candida auris pose a significant threat to hospitalized patients, particularly those with weakened immune systems or those who have invasive medical devices.... Read morePathology
view channel
Engineered Yeast Cells Enable Rapid Testing of Cancer Immunotherapy
Developing new cancer immunotherapies is a slow, costly, and high-risk process, particularly for CAR T cell treatments that must precisely recognize cancer-specific antigens. Small differences in tumor... Read more
First-Of-Its-Kind Test Identifies Autism Risk at Birth
Autism spectrum disorder is treatable, and extensive research shows that early intervention can significantly improve cognitive, social, and behavioral outcomes. Yet in the United States, the average age... Read moreTechnology
view channel
Robotic Technology Unveiled for Automated Diagnostic Blood Draws
Routine diagnostic blood collection is a high‑volume task that can strain staffing and introduce human‑dependent variability, with downstream implications for sample quality and patient experience.... Read more
ADLM Launches First-of-Its-Kind Data Science Program for Laboratory Medicine Professionals
Clinical laboratories generate billions of test results each year, creating a treasure trove of data with the potential to support more personalized testing, improve operational efficiency, and enhance patient care.... Read moreAptamer Biosensor Technology to Transform Virus Detection
Rapid and reliable virus detection is essential for controlling outbreaks, from seasonal influenza to global pandemics such as COVID-19. Conventional diagnostic methods, including cell culture, antigen... Read more
AI Models Could Predict Pre-Eclampsia and Anemia Earlier Using Routine Blood Tests
Pre-eclampsia and anemia are major contributors to maternal and child mortality worldwide, together accounting for more than half a million deaths each year and leaving millions with long-term health complications.... Read moreIndustry
view channelNew Collaboration Brings Automated Mass Spectrometry to Routine Laboratory Testing
Mass spectrometry is a powerful analytical technique that identifies and quantifies molecules based on their mass and electrical charge. Its high selectivity, sensitivity, and accuracy make it indispensable... Read more
AI-Powered Cervical Cancer Test Set for Major Rollout in Latin America
Noul Co., a Korean company specializing in AI-based blood and cancer diagnostics, announced it will supply its intelligence (AI)-based miLab CER cervical cancer diagnostic solution to Mexico under a multi‑year... Read more
Diasorin and Fisher Scientific Enter into US Distribution Agreement for Molecular POC Platform
Diasorin (Saluggia, Italy) has entered into an exclusive distribution agreement with Fisher Scientific, part of Thermo Fisher Scientific (Waltham, MA, USA), for the LIAISON NES molecular point-of-care... Read more






 Analyzer.jpg)
