ReviewGigaScience2015
Connectomics and new approaches for analyzing human brain functional connectivity.
Review in GigaScience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring functional connectivity in large-scale brain networks in obsessive-compulsive disorder: a systematic review of EEG and fMRI studies.Cerebral cortex (New York, N.Y. : 1991) · 2024Pooled it
- Emerging paradigms in connectome-guided neurosurgery for central nervous system tumors: a narrative review of structural and functional connectomics.Annals of medicine and surgery (2012) · 2026Review
- Multiscale comparative connectomics.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Improved whole-brain reconfiguration efficiency reveals mechanisms of speech rehabilitation in cleft lip and palate patients: an fMRI study.Frontiers in aging neuroscience · 2025Article
- Understanding treatment preferences and cognitive outcomes in patients with gliomas.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Multispectral brain connectivity during visual attention distinguishes controlled from uncontrolled hypertension.The Journal of physiology · 2024Article
- Statistical Approaches to Identify Pairwise and High-Order Brain Functional Connectivity Signatures on a Single-Subject Basis.Life (Basel, Switzerland) · 2023Article
- Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends.Bioengineering (Basel, Switzerland) · 2023Review
- 3M_BANTOR: A regression framework for multitask and multisession brain network distance metrics.Network neuroscience (Cambridge, Mass.) · 2023Article
- Article
- The expanding horizons of network neuroscience: From description to prediction and control.NeuroImage · 2022Review
- A regression framework for brain network distance metrics.Network neuroscience (Cambridge, Mass.) · 2022Article
- A Hierarchical Graph Learning Model for Brain Network Regression Analysis.Frontiers in neuroscience · 2022Article
- Imaging Genetic Based Mediation Analysis for Human Cognition.Frontiers in neuroscience · 2022Article
- Future Directions for Chemosensory Connectomes: Best Practices and Specific Challenges.Frontiers in systems neuroscience · 2022Article
- Vascular Cognitive Impairment After Mild Stroke: Connectomic Insights, Neuroimaging, and Knowledge Translation.Frontiers in neuroscience · 2022Review
- Localization and Diagnosis of Attention-Deficit/Hyperactivity Disorder.Healthcare (Basel, Switzerland) · 2021Article
- Multi-scale network regression for brain-phenotype associations.Human brain mapping · 2020Article
- Identification of traits and functional connectivity-based neurotraits of chronic pain.PLoS biology · 2019Article
- Tracking mood fluctuations with functional network patterns.Social cognitive and affective neuroscience · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Estimating the functional interactions between brain regions and mapping those connections to corresponding inter-individual differences in cognitive, behavioral and psychiatric domains are central pursuits for understanding the human connectome. The number and complexity of functional interactions within the connectome and the large amounts of data required to study them position functional connectivity research as a "big data" problem. Maximizing the degree to which knowledge about human brain function can be extracted from the connectome will require developing a new generation of neuroimaging analysis algorithms and tools. This review describes several outstanding problems in brain functional connectomics with the goal of engaging researchers from a broad spectrum of data sciences to help solve these problems. Additionally it provides information about open science resources consisting of raw and preprocessed data to help interested researchers get started.
Indexed as
Identifiers
What OpenQuestion holds
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.