Advances and Pitfalls in the Analysis and Interpretation of Resting-State FMRI Data
TLDR
It is concluded that further technical optimisation and experimental refinement is required in order to fully delineate and characterise the gross complexity of the human neural functional architecture.Abstract:
The last 15 years have witnessed a steady increase in the number of resting-state functional neuroimaging studies. The connectivity patterns of multiple functional, distributed, large-scale networks of brain dynamics have been recognised for their potential as useful tools in the domain of systems and other neurosciences. The application of functional connectivity methods to areas such as cognitive psychology, clinical diagnosis and treatment progression has yielded promising preliminary results, but is yet to be fully realised. This is due, in part, to an array of methodological and interpretative issues that remain to be resolved. We here present a review of the methods most commonly applied in this rapidly advancing field, such as seed-based correlation analysis and independent component analysis, along with examples of their use at the individual subject and group analysis levels and a discussion of practical and theoretical issues arising from this data ‘explosion’. We describe the similarities and differences across these varied statistical approaches to processing resting-state FMRI signals, and conclude that further technical optimisation and experimental refinement is required in order to fully delineate and characterise the gross complexity of the human neural functional architecture.read more
Citations
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Journal ArticleDOI
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
B.T. Thomas Yeo,Fenna M. Krienen,Jorge Sepulcre,Jorge Sepulcre,Mert R. Sabuncu,Mert R. Sabuncu,Danial Lashkari,Marisa O. Hollinshead,Marisa O. Hollinshead,Joshua L. Roffman,Jordan W. Smoller,Lilla Zöllei,Jonathan R. Polimeni,Bruce Fischl,Bruce Fischl,Hesheng Liu,Randy L. Buckner +16 more
TL;DR: In this paper, the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI data from 1,000 subjects and a clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex.
Journal ArticleDOI
Dynamic functional connectivity: Promise, issues, and interpretations
R. Matthew Hutchison,Thilo Womelsdorf,Elena A. Allen,Elena A. Allen,Peter A. Bandettini,Vince D. Calhoun,Vince D. Calhoun,Maurizio Corbetta,Maurizio Corbetta,Stefania Della Penna,Jeff H. Duyn,Gary H. Glover,Javier Gonzalez-Castillo,Daniel A. Handwerker,Shella D. Keilholz,Vesa Kiviniemi,David A. Leopold,Francesco de Pasquale,Olaf Sporns,Martin Walter,Martin Walter,Catie Chang +21 more
TL;DR: Emerging evidence suggests that dynamic FC metrics may index changes in macroscopic neural activity patterns underlying critical aspects of cognition and behavior, though limitations with regard to analysis and interpretation remain.
Journal ArticleDOI
The influence of head motion on intrinsic functional connectivity MRI.
TL;DR: Head motion was associated with decreased functional coupling in the default and frontoparietal control networks--two networks characterized by coupling among distributed regions of association cortex and other network measures increased with motion including estimates of local functional coupling and coupling between left and right motor regions.
Journal ArticleDOI
DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.
TL;DR: The newly developed toolbox, DPABI, which was evolved from REST and DPARSF is introduced, designed to make data analysis require fewer manual operations, be less time-consuming, have a lower skill requirement, a smaller risk of inadvertent mistakes, and be more comparable across studies.
Journal ArticleDOI
ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging
Ludovica Griffanti,Ludovica Griffanti,Gholamreza Salimi-Khorshidi,Christian F. Beckmann,Edward J. Auerbach,Gwenaëlle Douaud,Claire E. Sexton,Enikő Zsoldos,Klaus P. Ebmeier,Nicola Filippini,Clare E. Mackay,Steen Moeller,Junqian Xu,Essa Yacoub,Giuseppe Baselli,Kamil Ugurbil,Karla L. Miller,Stephen M. Smith +17 more
TL;DR: With the optimal cleaning procedures, functional connectivity results from accelerated data were statistically comparable or significantly better than the standard (unaccelerated) acquisition, and, crucially, with higher spatial and temporal resolution.
References
More filters
Journal ArticleDOI
A default mode of brain function.
Marcus E. Raichle,Ann Mary MacLeod,Abraham Z. Snyder,William J. Powers,Debra A. Gusnard,Gordon L. Shulman +5 more
TL;DR: A baseline state of the normal adult human brain in terms of the brain oxygen extraction fraction or OEF is identified, suggesting the existence of an organized, baseline default mode of brain function that is suspended during specific goal-directed behaviors.
Journal ArticleDOI
Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.
TL;DR: It is concluded that correlation of low frequency fluctuations, which may arise from fluctuations in blood oxygenation or flow, is a manifestation of functional connectivity of the brain.
Journal ArticleDOI
The Brain's Default Network Anatomy, Function, and Relevance to Disease
TL;DR: Past observations are synthesized to provide strong evidence that the default network is a specific, anatomically defined brain system preferentially active when individuals are not focused on the external environment, and for understanding mental disorders including autism, schizophrenia, and Alzheimer's disease.
Journal ArticleDOI
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Michael D. Fox,Abraham Z. Snyder,Justin L. Vincent,Maurizio Corbetta,David C. Van Essen,Marcus E. Raichle +5 more
TL;DR: It is suggested that both task-driven neuronal responses and behavior are reflections of this dynamic, ongoing, functional organization of the brain, featuring the presence of anticorrelated networks in the absence of overt task performance.
Journal ArticleDOI
Neurophysiological investigation of the basis of the fMRI signal
TL;DR: These findings suggest that the BOLD contrast mechanism reflects the input and intracortical processing of a given area rather than its spiking output, and that LFPs yield a better estimate of BOLD responses than the multi-unit responses.