ArticleNeuroImage2017
ICN_Atlas: Automated description and quantification of functional MRI activation patterns in the framework of intrinsic connectivity networks.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 39 citations in OpenAlex.
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- Compensation versus deterioration across functional networks in amnestic mild cognitive impairment subtypes.GeroScience · 2025Article
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- Brain connectivity correlates of breathing and cardiac patterns in epilepsy: A study including SUDEP cases.Imaging neuroscience (Cambridge, Mass.) · 2025Article
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- Methylphenidate Ameliorates Behavioural and Neurobiological Deficits in Executive Function for Patients with Chronic Traumatic Brain Injury.Journal of clinical medicine · 2024Article
- aXonica: A support package for MRI based Neuroimaging.Biotechnology notes (Amsterdam, Netherlands) · 2024Article
- Acute thalamic connectivity precedes chronic post-concussive symptoms in mild traumatic brain injury.Brain : a journal of neurology · 2023Article
- Investigating cognitive neuroscience theories of human intelligence: A connectome-based predictive modeling approach.Human brain mapping · 2023Article
- Intrinsic brain dynamics in the Default Mode Network predict involuntary fluctuations of visual awareness.Nature communications · 2022Article
- Weaker connectivity in resting state networks is associated with disinhibited eating in older adults.International journal of obesity (2005) · 2022Article
- A New Functional Magnetic Resonance Imaging Localizer for Preoperative Language Mapping Using a Sentence Completion Task: Validity, Choice of Baseline Condition, and Test-Retest Reliability.Frontiers in human neuroscience · 2022Article
- A Precuneal Causal Loop Mediates External and Internal Information Integration in the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- fMRI-Based Effective Connectivity in Surgical Remediable Epilepsies: A Pilot Study.Brain topography · 2021Article
- Salience and default-mode network connectivity during threat and safety processing in older adults.Human brain mapping · 2021Article
- Brain Networks Underlying Strategy Execution and Feedback Processing in an Efficient Functional Magnetic Resonance Imaging Neurofeedback Training Performed in a Parallel or a Serial Paradigm.Frontiers in human neuroscience · 2021Article
- Temporal Lobe Spikes Affect Distant Intrinsic Connectivity Networks.Frontiers in neurology · 2021Article
- Image-Derived Phenotyping Informed by Independent Component Analysis-An Atlas-Based Approach.Frontiers in neuroscience · 2020Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Generally, the interpretation of functional MRI (fMRI) activation maps continues to rely on assessing their relationship to anatomical structures, mostly in a qualitative and often subjective way. Recently, the existence of persistent and stable brain networks of functional nature has been revealed; in particular these so-called intrinsic connectivity networks (ICNs) appear to link patterns of resting state and task-related state connectivity. These networks provide an opportunity of functionally-derived description and interpretation of fMRI maps, that may be especially important in cases where the maps are predominantly task-unrelated, such as studies of spontaneous brain activity e.g. in the case of seizure-related fMRI maps in epilepsy patients or sleep states. Here we present a new toolbox (ICN_Atlas) aimed at facilitating the interpretation of fMRI data in the context of ICN. More specifically, the new methodology was designed to describe fMRI maps in function-oriented, objective and quantitative way using a set of 15 metrics conceived to quantify the degree of 'engagement' of ICNs for any given fMRI-derived statistical map of interest. We demonstrate that the proposed framework provides a highly reliable quantification of fMRI activation maps using a publicly available longitudinal (test-retest) resting-state fMRI dataset. The utility of the ICN_Atlas is also illustrated on a parametric task-modulation fMRI dataset, and on a dataset of a patient who had repeated seizures during resting-state fMRI, confirmed on simultaneously recorded EEG. The proposed ICN_Atlas toolbox is freely available for download at http://icnatlas.com and at http://www.nitrc.org for researchers to use in their fMRI investigations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.