ArticleCurrent behavioral neuroscience reports2015
The Structural and Functional Connectome and Prediction of Risk for Cognitive Impairment in Older Adults.
Article in Current behavioral neuroscience reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- Artificial intelligence role in advancement of human brain connectome studies.Frontiers in neuroinformatics · 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
- Characteristics of cortical thickness in treated HIV-infected individuals with and without cognitive impairment.European journal of medical research · 2025Article
- Global changes in the pattern of connectivity in developmental prosopagnosia.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights.BMC neurology · 2024Review
- Modeling the impact of MRI acquisition bias on structural connectomes: Harmonizing structural connectomes.Network neuroscience (Cambridge, Mass.) · 2024Article
- Capturing functional connectomics using Riemannian partial least squares.Scientific reports · 2023Article
- Physical fitness, cognition, and structural network efficiency of brain connections across the lifespan.Neuropsychologia · 2023Article
- On temporal scale-free non-periodic stimulation and its mechanisms as an infinite improbability drive of the brain's functional connectogram.Frontiers in neuroinformatics · 2023Review
- First Organoid Intelligence (OI) workshop to form an OI community.Frontiers in artificial intelligence · 2023Review
- A survey of brain network analysis by electroencephalographic signals.Cognitive neurodynamics · 2022Article
- The Case for Optimized Edge-Centric Tractography at Scale.Frontiers in neuroinformatics · 2022Article
- Structural and Functional Brain Connectivity Uniquely Contribute to Episodic Memory Performance in Older Adults.Frontiers in aging neuroscience · 2022Article
- Reciprocal Influences of HIV and Cannabinoids on the Brain and Cognitive Function.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2020Review
- Medial temporal lobe white matter pathway variability is associated with individual differences in episodic memory in cognitively normal older adults.Neurobiology of aging · 2020Article
- Guided graph spectral embedding: Application to theNetwork neuroscience (Cambridge, Mass.) · 2019Article
- Resting state network modularity along the prodromal late onset Alzheimer's disease continuum.NeuroImage. Clinical · 2019Article
- Cardiovascular Risk Factors and Brain Health: Impact on Long-Range Cortical Connections and Cognitive Performance.Journal of the American Heart Association · 2018Article
- Structural and functional brain scans from the cross-sectional Southwest University adult lifespan dataset.Scientific data · 2018Article
- Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer's disease.Network neuroscience (Cambridge, Mass.) · 2018Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
The human connectome refers to a comprehensive description of the brain's structural and functional connections in terms of brain networks. As the field of brain connectomics has developed, data acquisition, subsequent processing and modeling, and ultimately the representation of the connectome have become better defined and integrated with network science approaches. In this way, the human connectome has provided a way to elucidate key features of not only the healthy brain but also diseased brains. The field has quickly evolved, offering insights into network disruptions that are characteristic for specific neurodegenerative disorders. In this paper, we provide a brief review of the field of brain connectomics, as well as a more in-depth survey of recent studies that have provided new insights into brain network pathologies, including those found in Alzheimer's disease (AD), patients with mild cognitive impairment (MCI), and finally in people classified as being "at risk". Until the emergence of brain connectomics, most previous studies had assessed neurodegenerative diseases mainly by focusing on specific and dispersed locales in the brain. Connectomics-based approaches allow us to model the brain as a network, which allows for inferences about how dynamic changes in brain function would be affected in relation to structural changes. In fact, looking at diseases using network theory gives rise to new hypotheses on mechanisms of pathophysiology and clinical symptoms. Finally, we discuss the future of this field and how understanding both the functional and structural connectome can aid in gaining sharper insight into changes in biological brain networks associated with cognitive impairment and dementia.
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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.