Functional Magnetic Resonance Imaging

Functional Magnetic Resonance Imaging
Name	Functional Magnetic Resonance Imaging
Invented	1990s
Inventor	Seiji Ogawa; others
Field	Neuroimaging

Contents

Functional Magnetic Resonance Imaging is a neuroimaging technique that measures brain activity by detecting changes associated with blood flow. It is widely used in research at institutions such as Harvard University, Massachusetts Institute of Technology, Stanford University, University College London, and Max Planck Society and has influenced work at organizations including National Institutes of Health, Wellcome Trust, European Research Council, Howard Hughes Medical Institute, and Allen Institute for Brain Science. Prominent figures associated with development and application include Seiji Ogawa, Karl Friston, Marcus Raichle, Michael Posner, and Nancy Kanwisher.

Introduction

Functional Magnetic Resonance Imaging emerged from magnetic resonance developments at facilities like Bell Labs, GE Healthcare, Siemens Healthineers, and Philips Healthcare and from foundational discoveries linked to laboratories at University of Tokyo, Columbia University, University of Pennsylvania, Oxford University, and University of California, Berkeley. Early demonstrations influenced funding and policy decisions by agencies such as the National Science Foundation and projects at centers like Massachusetts General Hospital and Beth Israel Deaconess Medical Center. The technique rapidly spread into cognitive neuroscience programs at Yale University, Princeton University, University of Michigan, Johns Hopkins University, and University of California, Los Angeles.

The contrast measured in the technique originates from hemodynamic effects first characterized in work associated with Seiji Ogawa and further formalized in models by Karl Friston and collaborators at University College London and University of Cambridge. The technique leverages magnetic properties explored at facilities such as Los Alamos National Laboratory and Argonne National Laboratory using hardware produced by Siemens Healthineers and GE Healthcare. Biophysical models draw on research traditions linked to Max Planck Society institutes and theoretical frameworks from Princeton University and Imperial College London. The most common signal arises from oxygenation changes first contextualized in experiments at Stanford University and University of Wisconsin–Madison.

Researchers design tasks and paradigms in labs at Massachusetts Institute of Technology, Harvard University, University of Oxford, and Columbia University where stimuli, timing, and control conditions are planned. Acquisition protocols are implemented on scanners installed at centers such as Mayo Clinic, Cleveland Clinic, Karolinska Institute, and The Royal Institution and often follow standards developed by consortia including the Human Connectome Project and initiatives led by European Neuroscience Institute. Subject recruitment and ethics oversight typically involve review boards at Johns Hopkins University, University of Toronto, McGill University, and University of Sydney.

Preprocessing pipelines and statistical frameworks were contributed by groups at University College London, Massachusetts Institute of Technology, University of California, San Diego, and Princeton University and implemented in software from projects such as those at McGill University and laboratories affiliated with Karolinska Institute. Common analysis approaches build on methods popularized by researchers at Oxford University, Yale University, University of Pennsylvania, and University of Michigan; large-scale datasets and atlases are curated by organizations like Allen Institute for Brain Science, Human Connectome Project, UK Biobank, and European Bioinformatics Institute. Techniques for connectivity and pattern analysis draw on contributions from groups at Stanford University, University of Cambridge, Imperial College London, and Columbia University.

Applications span studies of perception, attention, memory, language, and decision-making conducted at institutions such as Princeton University, Massachusetts Institute of Technology, University of Oxford, Harvard University, and Stanford University. Clinical translation has been pursued at Mayo Clinic, Cleveland Clinic, Mount Sinai Hospital, and Johns Hopkins Hospital for conditions investigated by researchers at Karolinska Institute, University of California, San Francisco, University College London, and McLean Hospital. Large consortia and collaborations including the Human Connectome Project, ENIGMA Consortium, UK Biobank, and initiatives funded by National Institutes of Health have applied the technique to psychiatric, neurological, and developmental studies.

Critiques have been raised by scientists at University College London, Princeton University, University of Oxford, and Harvard University regarding spatial and temporal resolution, interpretability of hemodynamic proxies, and reproducibility. Debates involving scholars from Yale University, Stanford University, University of Michigan, and Columbia University focus on statistical practices and false-positive rates; methodological responses have come from groups at Massachusetts Institute of Technology, Karolinska Institute, Max Planck Society, and University of California, Berkeley. Practical limitations related to scanner availability and cost are evident at institutions worldwide including University of Cape Town, University of São Paulo, Peking University, and Tsinghua University.

Category:Neuroimaging