Resting state fMRI: A personal history

The goal of this review is to describe, from a personal perspective, the development and emergence of the resting state fMRI. In particular, various concepts derived from the resting state data are discussed in detail, including connectivity, amplitude of the fluctuations, analysis techniques, and use in clinical populations. We also briefly summarize our efforts in creating an open data sharing platform as well as both a journal and a conference dedicated to brain connectivity. All three projects are aimed at significantly increasing the impact of resting state fMRI developments and enabling large, collaborative science projects.

[1]  Bharat Biswal,et al.  Slow vasomotor fluctuation in fMRI of anesthetized child brain , 2000, Magnetic resonance in medicine.

[2]  B. Biswal,et al.  Blind source separation of multiple signal sources of fMRI data sets using independent component analysis. , 1999, Journal of computer assisted tomography.

[3]  R. S. Hinks,et al.  Time course EPI of human brain function during task activation , 1992, Magnetic resonance in medicine.

[4]  E. DeYoe,et al.  Reduction of physiological fluctuations in fMRI using digital filters , 1996, Magnetic resonance in medicine.

[5]  Raimo Sepponen,et al.  Book of Abstracts, Society of Magnetic Resonance in Medicine , 1993 .

[6]  Daniel S. Margulies,et al.  Functional connectivity of the human amygdala using resting state fMRI , 2009, NeuroImage.

[7]  Bart Rypma,et al.  r Human Brain Mapping 32:1125–1140 (2011) r Increasing Measurement Accuracy of Age-Related BOLD Signal Change: Minimizing Vascular Contributions by Resting-State-Fluctuation-of-Amplitude Scaling , 2022 .

[8]  B. Biswal,et al.  Cocaine administration decreases functional connectivity in human primary visual and motor cortex as detected by functional MRI , 2000, Magnetic resonance in medicine.

[9]  Bharat B. Biswal,et al.  Task-Dependent Individual Differences in Prefrontal Connectivity , 2010, Cerebral cortex.

[10]  P. Skudlarski,et al.  Detection of functional connectivity using temporal correlations in MR images , 2002, Human brain mapping.

[11]  Tianzi Jiang,et al.  Regional coherence changes in the early stages of Alzheimer’s disease: A combined structural and resting-state functional MRI study , 2007, NeuroImage.

[12]  Aapo Hyvärinen,et al.  Independent component analysis of nondeterministic fMRI signal sources , 2003, NeuroImage.

[13]  H. Lu,et al.  Resting-State Functional Connectivity in Rat Brain , 2005 .

[14]  R J Roman,et al.  Spontaneous Flow Oscillations in the Cerebral Cortex during Acute Changes in Mean Arterial Pressure , 1992, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[15]  Dietmar Cordes,et al.  Role of the corpus callosum in functional connectivity. , 2003, AJNR. American journal of neuroradiology.

[16]  Bharat B. Biswal,et al.  Inter-individual differences in resting-state functional connectivity predict task-induced BOLD activity , 2010, NeuroImage.

[17]  Justin L. Vincent,et al.  Intrinsic functional architecture in the anaesthetized monkey brain , 2007, Nature.

[18]  Bharat B. Biswal,et al.  Detection and scaling of task-induced fMRI-BOLD response using resting state fluctuations , 2008, NeuroImage.

[19]  Michelle Hampson,et al.  Changes in functional connectivity of human MT/V5 with visual motion input , 2004, Neuroreport.

[20]  A. Hyvärinen,et al.  Localization of the Resting State Vasomotor Fluctuation with FFT, Cross Correlation, Principal Component and Independent Component Analysis of fMRI data. , 2001 .

[21]  G L Shulman,et al.  INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .

[22]  V M Haughton,et al.  Abnormal cerebral activation associated with a motor task in Tourette syndrome. , 1998, AJNR. American journal of neuroradiology.

[23]  L. Parsons,et al.  Interregional connectivity to primary motor cortex revealed using MRI resting state images , 1999, Human brain mapping.

[24]  Daniel Y. Kimberg,et al.  Neural correlates of cognitive efficiency , 2006, NeuroImage.

[25]  B. Biswal,et al.  Simultaneous assessment of flow and BOLD signals in resting‐state functional connectivity maps , 1997, NMR in biomedicine.

[26]  Bharat B. Biswal,et al.  Corrigendum to “Inter-individual differences in resting-state functional connectivity predict task-induced BOLD activity” [NeuroImage 50/4 (2010) 1690–1701] , 2011, NeuroImage.

[27]  V. Haughton,et al.  Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data. , 2001, AJNR. American journal of neuroradiology.

[28]  Bharat B. Biswal,et al.  MAP reversibly modulates resting state fMRI-low frequency fluctuations in anesthetized rats , 2003 .

[29]  Vinod Menon,et al.  Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[30]  L. Uddin,et al.  Functional Brain Correlates of Social and Nonsocial Processes in Autism Spectrum Disorders: An Activation Likelihood Estimation Meta-Analysis , 2009, Biological Psychiatry.

[31]  Bart Rypma,et al.  Non-neural BOLD variability in block and event-related paradigms. , 2011, Magnetic resonance imaging.

[32]  Daniel S. Margulies,et al.  Mapping the functional connectivity of anterior cingulate cortex , 2007, NeuroImage.

[33]  Yong He,et al.  Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. , 2007, Brain & development.

[34]  B. Biswal,et al.  Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.

[35]  B. Biswal,et al.  Functional connectivity of default mode network components: Correlation, anticorrelation, and causality , 2009, Human brain mapping.

[36]  B. Biswal,et al.  Hypercapnia Reversibly Suppresses Low-Frequency Fluctuations in the Human Motor Cortex during Rest Using Echo–Planar MRI , 1997, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[37]  M. Ding,et al.  Granger causal influence predicts BOLD activity levels in the default mode network , 2011, Human brain mapping.

[38]  Gaohong Wu,et al.  Alzheimer Disease: evaluation of a functional MR imaging index as a marker. , 2002, Radiology.

[39]  Xiaoping Hu,et al.  Instantaneous and causal connectivity in resting state brain networks derived from functional MRI data , 2011, NeuroImage.

[40]  Alexa M. Morcom,et al.  Does the brain have a baseline? Why we should be resisting a rest , 2007, NeuroImage.

[41]  P. Sebel,et al.  Functional connectivity changes with concentration of sevoflurane anesthesia , 2005, Neuroreport.

[42]  Y. Zang,et al.  Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI , 2007, Brain and Development.

[43]  M. Lowe,et al.  Functional Connectivity in Single and Multislice Echoplanar Imaging Using Resting-State Fluctuations , 1998, NeuroImage.

[44]  Bharat B. Biswal,et al.  Interhemispheric neuroplasticity following limb deafferentation detected by resting-state functional connectivity magnetic resonance imaging (fcMRI) and functional magnetic resonance imaging (fMRI) , 2010, NeuroImage.

[45]  Christian Windischberger,et al.  Toward discovery science of human brain function , 2010, Proceedings of the National Academy of Sciences.

[46]  J. Xiong,et al.  Covarying Activity During Rest Reveals Improved Connectivity Maps , 1998, NeuroImage.