Miniature NMR Implant Measures Neuronal Activity
|
By MedImaging International staff writers Posted on 17 Dec 2019 |

Image: The final functioning NMR probe mounted on a PCB holder (Photo courtesy of MPG)
A highly sensitive nuclear magnetic resonance (NMR) implant probe enables brain physiology studies with enhanced spatial and temporal resolution.
Developed at the Max-Planck-Institute for Biological Cybernetics (MPG; Tübingen, Germany), the University of Tübingen (Germany), and the University of Stuttgart (Germany), the capillary monolithic probe combines an ultra-sensitive 300 µm coil with a complete NMR transceiver, enabling in vivo measurements of blood oxygenation and flow in nanoliter volumes at a sampling rate of 200 Hz. To minimize the risk of tissue damage during probe insertion, the multimodal probe possesses a needle-shape with shaft widths of 50-300 μm and shaft thicknesses below 100 μm.
The result is a complementary meta-oxide-semiconductor (CMOS) probe with the versatility of brain imaging technique that analyzes specific neuronal activity of the brain. According to the researchers, the design setup will allow scalable solutions by expanding the collection of data from more than a single area, but on the same device. The scalability will allow the use of other sensing modalities as well, such as electrophysiological, optogenetic, proton spectroscopy, and 31P spectroscopy measurements with high spatial resolution. The study was published on November 25, 2019 in Nature Methods.
“The integrated design of a nuclear magnetic resonance detector on a single chip supremely reduces the typical electromagnetic interference of magnetic resonance signals,” said senior author Klaus Scheffler, PhD, of the MPG department of high-field magnetic resonance. “This enables neuroscientists to gather precise data from minuscule areas of the brain, and to combine them with information from spatial and temporal data of the brain's physiology.”
The researchers suggest the system will allow the capture of localized activity within single layers, and preferably within regions of different cellular components, such as dendrites. In addition, it will allow the assessment of neurovascular coupling on a fine time scale, enabling extremely fast coupling that can help resolve correlations between electrical signals and proton magnetization changes, far below the commonly assumed time lag of several seconds.
Related Links:
Max-Planck-Institute for Biological Cybernetics
University of Tübingen
University of Stuttgart
Developed at the Max-Planck-Institute for Biological Cybernetics (MPG; Tübingen, Germany), the University of Tübingen (Germany), and the University of Stuttgart (Germany), the capillary monolithic probe combines an ultra-sensitive 300 µm coil with a complete NMR transceiver, enabling in vivo measurements of blood oxygenation and flow in nanoliter volumes at a sampling rate of 200 Hz. To minimize the risk of tissue damage during probe insertion, the multimodal probe possesses a needle-shape with shaft widths of 50-300 μm and shaft thicknesses below 100 μm.
The result is a complementary meta-oxide-semiconductor (CMOS) probe with the versatility of brain imaging technique that analyzes specific neuronal activity of the brain. According to the researchers, the design setup will allow scalable solutions by expanding the collection of data from more than a single area, but on the same device. The scalability will allow the use of other sensing modalities as well, such as electrophysiological, optogenetic, proton spectroscopy, and 31P spectroscopy measurements with high spatial resolution. The study was published on November 25, 2019 in Nature Methods.
“The integrated design of a nuclear magnetic resonance detector on a single chip supremely reduces the typical electromagnetic interference of magnetic resonance signals,” said senior author Klaus Scheffler, PhD, of the MPG department of high-field magnetic resonance. “This enables neuroscientists to gather precise data from minuscule areas of the brain, and to combine them with information from spatial and temporal data of the brain's physiology.”
The researchers suggest the system will allow the capture of localized activity within single layers, and preferably within regions of different cellular components, such as dendrites. In addition, it will allow the assessment of neurovascular coupling on a fine time scale, enabling extremely fast coupling that can help resolve correlations between electrical signals and proton magnetization changes, far below the commonly assumed time lag of several seconds.
Related Links:
Max-Planck-Institute for Biological Cybernetics
University of Tübingen
University of Stuttgart
Latest General/Advanced Imaging News
- AI-Based Tool Accelerates Detection of Kidney Cancer
- New Algorithm Dramatically Speeds Up Stroke Detection Scans
- 3D Scanning Approach Enables Ultra-Precise Brain Surgery
- AI Tool Improves Medical Imaging Process by 90%
- New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents
- AI Algorithm Accurately Predicts Pancreatic Cancer Metastasis Using Routine CT Images
- Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities
- Extending CT Imaging Detects Hidden Blood Clots in Stroke Patients
- Groundbreaking AI Model Accurately Segments Liver Tumors from CT Scans
- New CT-Based Indicator Helps Predict Life-Threatening Postpartum Bleeding Cases
- CT Colonography Beats Stool DNA Testing for Colon Cancer Screening
- First-Of-Its-Kind Wearable Device Offers Revolutionary Alternative to CT Scans
- AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
- CT-Based Deep Learning-Driven Tool to Enhance Liver Cancer Diagnosis
- AI-Powered Imaging System Improves Lung Cancer Diagnosis
- AI Model Significantly Enhances Low-Dose CT Capabilities
Channels
Radiography
view channel
Routine Mammograms Could Predict Future Cardiovascular Disease in Women
Mammograms are widely used to screen for breast cancer, but they may also contain overlooked clues about cardiovascular health. Calcium deposits in the arteries of the breast signal stiffening blood vessels,... Read more
AI Detects Early Signs of Aging from Chest X-Rays
Chronological age does not always reflect how fast the body is truly aging, and current biological age tests often rely on DNA-based markers that may miss early organ-level decline. Detecting subtle, age-related... Read moreMRI
view channel
MRI Scans Reveal Signature Patterns of Brain Activity to Predict Recovery from TBI
Recovery after traumatic brain injury (TBI) varies widely, with some patients regaining full function while others are left with lasting disabilities. Prognosis is especially difficult to assess in patients... Read more
Novel Imaging Approach to Improve Treatment for Spinal Cord Injuries
Vascular dysfunction in the spinal cord contributes to multiple neurological conditions, including traumatic injuries and degenerative cervical myelopathy, where reduced blood flow can lead to progressive... Read more
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreUltrasound
view channel
Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
Chronic conditions such as hypertension and heart failure require close monitoring, yet today’s ultrasound imaging is largely confined to hospitals and short, episodic scans. This reactive model limits... Read more
Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
Producing clear 3D images of deep blood vessels has long been difficult without relying on contrast agents, CT scans, or MRI. Standard ultrasound typically provides only 2D cross-sections, limiting clinicians’... Read moreNuclear Medicine
view channel
PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
Acute myocardial infarction can trigger lasting heart damage, yet clinicians still lack reliable tools to identify which patients will regain function and which may develop heart failure.... Read more
Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
Aggressive cancers such as osteosarcoma and glioblastoma often resist standard therapies, thrive in hostile tumor environments, and recur despite surgery, radiation, or chemotherapy. These tumors also... Read more
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... 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 morePatient-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







