ArticleNeuroscience2017
Connectome-scale functional intrinsic connectivity networks in macaques.
Article in Neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Discovering hierarchical common brain networks via multimodal deep belief network.Medical image analysis · 2019Pooled it
- Mapping longitudinally consistent intrinsic connectivity networks in macaque brain via longitudinal sparse dictionary learning.IBRO neuroscience reports · 2025Article
- Deep linear matrix approximate reconstruction with integrated BOLD signal denoising reveals reproducible hierarchical brain connectivity networks from multiband multi-echo fMRI.Frontiers in neuroscience · 2025Article
- The hierarchical organization of the precuneus captured by functional gradients.Brain structure & function · 2023Article
- Control energy assessment of spatial interactions among macro-scale brain networks.Human brain mapping · 2022Article
- Developmental outcomes of early adverse care on amygdala functional connectivity in nonhuman primates.Development and psychopathology · 2020Article
- Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning.Brain connectivity · 2020Article
- Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network.IEEE journal of biomedical and health informatics · 2019Article
- A macaque connectome for large-scale network simulations in TheVirtualBrain.Scientific data · 2019Article
- Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts.Neuroinformatics · 2018Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
There have been extensive studies of intrinsic connectivity networks (ICNs) in the human brains using resting-state functional magnetic resonance imaging (fMRI) in the literature. However, the functional organization of ICNs in macaque brains has been less explored so far, despite growing interests in the field. In this work, we propose a computational framework to identify connectome-scale group-wise consistent ICNs in macaques via sparse representation of whole-brain resting-state fMRI data. Experimental results demonstrate that 70 group-wise consistent ICNs are successfully identified in macaque brains via the proposed framework. These 70 ICNs are interpreted based on two publicly available parcellation maps of macaque brains and our work significantly expand currently known macaque ICNs already reported in the literature. In general, this set of connectome-scale group-wise consistent ICNs can potentially benefit a variety of studies in the neuroscience and brain-mapping fields, and they provide a foundation to better understand brain evolution in the future.
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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.