Abstract
Magnetic resonance imaging (MRI) of the human brain plays an important role in the field of medical imaging as well as basic neuroscience. It measures proton spin relaxation, the time constant of which depends on tissue type, and allows us to visualize anatomical structures in the brain. It can also measure functional signals that depend on the local ratio of oxyhemoglobin to deoxyhemoglobin in the blood, which is believed to reflect the degree of neural activity in the corresponding area. MRI thus provides anatomical and functional information about the human brain with high spatial resolution. Conventionally, MRI signals are measured and analyzed for each individual voxel. However, these signals are essentially multivariate because they are measured from multiple voxels simultaneously, and the pattern of activity might carry more useful information than each individual voxel does. This paper reviews recent trends in multivariate analysis of MRI signals in the human brain, and discusses applications of this technique in the fields of medical imaging and neuroscience.
Keywords: Magnetic resonance imaging, Medical imaging, Neuroscience, Machine learning, Pattern classification, Diagnosis, perception, Vision.
Current Topics in Medicinal Chemistry
Title:Multivariate Analysis of Magnetic Resonance Imaging Signals of the Human Brain
Volume: 16 Issue: 24
Author(s): Yoichi Miyawaki
Affiliation:
Keywords: Magnetic resonance imaging, Medical imaging, Neuroscience, Machine learning, Pattern classification, Diagnosis, perception, Vision.
Abstract: Magnetic resonance imaging (MRI) of the human brain plays an important role in the field of medical imaging as well as basic neuroscience. It measures proton spin relaxation, the time constant of which depends on tissue type, and allows us to visualize anatomical structures in the brain. It can also measure functional signals that depend on the local ratio of oxyhemoglobin to deoxyhemoglobin in the blood, which is believed to reflect the degree of neural activity in the corresponding area. MRI thus provides anatomical and functional information about the human brain with high spatial resolution. Conventionally, MRI signals are measured and analyzed for each individual voxel. However, these signals are essentially multivariate because they are measured from multiple voxels simultaneously, and the pattern of activity might carry more useful information than each individual voxel does. This paper reviews recent trends in multivariate analysis of MRI signals in the human brain, and discusses applications of this technique in the fields of medical imaging and neuroscience.
Export Options
About this article
Cite this article as:
Miyawaki Yoichi, Multivariate Analysis of Magnetic Resonance Imaging Signals of the Human Brain, Current Topics in Medicinal Chemistry 2016; 16 (24) . https://dx.doi.org/10.2174/1568026616666160413135303
DOI https://dx.doi.org/10.2174/1568026616666160413135303 |
Print ISSN 1568-0266 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
Call for Papers in Thematic Issues
Chemistry Based on Natural Products for Therapeutic Purposes
The development of new pharmaceuticals for a wide range of medical conditions has long relied on the identification of promising natural products (NPs). There are over sixty percent of cancer, infectious illness, and CNS disease medications that include an NP pharmacophore, according to the Food and Drug Administration. Since NP ...read more
Current Trends in Drug Discovery Based on Artificial Intelligence and Computer-Aided Drug Design
Drug development discovery has faced several challenges over the years. In fact, the evolution of classical approaches to modern methods using computational methods, or Computer-Aided Drug Design (CADD), has shown promising and essential results in any drug discovery campaign. Among these methods, molecular docking is one of the most notable ...read more
Drug Discovery in the Age of Artificial Intelligence
In the age of artificial intelligence (AI), we have witnessed a significant boom in AI techniques for drug discovery. AI techniques are increasingly integrated and accelerating the drug discovery process. These developments have not only attracted the attention of academia and industry but also raised important questions regarding the selection ...read more
From Biodiversity to Chemical Diversity: Focus of Flavonoids
Flavonoids are the largest group of polyphenols, plant secondary metabolites arising from the essential aromatic amino acid phenylalanine (or more rarely from tyrosine) via the phenylpropanoid pathway. The flavan nucleus is the basic 15-carbon skeleton of flavonoids (C6-C3-C6), which consists of two phenyl rings (A and B) and a heterocyclic ...read more
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Aspartate and Glutamate Mimetic Structures in Biologically Active Compounds
Current Medicinal Chemistry The Expanding Universe of Neurotrophic Factors: Therapeutic Potential in Aging and Age-Associated Disorders
Current Pharmaceutical Design Drug Delivery Across the Blood-Brain Barrier
Current Nanoscience Safety Profile of the Newest Antiepileptic Drugs: A Curated Literature Review
Current Pharmaceutical Design Synthesis of 3,4–Dihydropyrimidin–2-ones (DHPMs) Using Highly Efficient Recyclable Silica Supported Rhodium Chloride as Heterogeneous Catalyst and their Anti-Neuroinflammatory Activity
Letters in Drug Design & Discovery HHT: A Rare Disease with A Broad Spectrum of Clinical Aspects
Current Pharmaceutical Design Recent Developments on the Use of Nanomaterials for the Treatment of Epilepsy
Mini-Reviews in Medicinal Chemistry Mitochondrial Dysfunction and Its Relationship with mTOR Signaling and Oxidative Damage in Autism Spectrum Disorders
Mini-Reviews in Medicinal Chemistry Coenzyme Q10 and Neurological Diseases: An Update
Letters in Drug Design & Discovery Driving Cellular Plasticity and Survival Through the Signal Transduction Pathways of Metabotropic Glutamate Receptors
Current Neurovascular Research Bioactive Compounds in Some Culinary Aromatic Herbs and Their Effects on Human Health
Mini-Reviews in Medicinal Chemistry Bryostatin-1 Synergizes with Histone Deacetylase Inhibitors to Reactivate HIV-1 from Latency
Current HIV Research Piroxicam: Source for Synthesis of Central Nervous System (CNS) Acting Drugs
Central Nervous System Agents in Medicinal Chemistry Past, Present and Future Therapeutics for Cerebellar Ataxias
Current Neuropharmacology Targeting Cytokines for Morphine Tolerance: A Narrative Review
Current Neuropharmacology Bis-dihydroisoxazolines: Synthesis, Structural Elucidation, Antimicrobial Evaluation, and DNA Photocleavage Assay
Current Organic Synthesis Neuroinflammation, Diabetes and COVID-19: Perspectives Coming from Ca<sup>2+</sup>/cAMP Signalling
Current Drug Research Reviews A Scientometrics Analysis and Visualization of Depressive Disorder
Current Neuropharmacology Relevance of Breast Cancer Resistance Protein to Brain Distribution and Central Acting Drugs: A Pharmacokinetic Perspective
Current Drug Metabolism Epilepsy, Comorbidities and Treatments
Current Pharmaceutical Design