The elusive concept of brain connectivity
By Barry Horwitz. NeuroImage, 2003
804 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/e6becff74af0ccbd7206d0eb83898ed813c4bf47
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Olaf Sporns
- E. Bullmore
- Yong He
- D. Bassett
- Alan C. Evans
- Cornelis J. Stam
- Vinod Menon
- Martijn P. van den Heuvel
In Radiology, Nuclear Medicine and Imaging
- Olaf Sporns
- Yong He
- E. Bullmore
- Alan C. Evans
- D. Bassett
- Cornelis J. Stam
- Martijn P. van den Heuvel
- Steven E. Petersen
Citations in the corpus
- Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks (2012, neutral): “F unctional connectivity has been broadly defined to be the statistical association (or temporal correlation) among two or more anatomically distinct regions (or remote neurophysiological events) (Friston et al., 1994; Horwitz, 2003; Salvador et al., 2005).”
- Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG (2011, background): “Effective connectivity is a relatively new concept defined as the direct or indirect influence that one neural system exerts over another [5].”
- HERMES: Towards an Integrated Toolbox to Characterize Functional and Effective Brain Connectivity (2013, background): “Brain connectivity is an elusive concept that refers to different interrelated aspects of brain organization (see, e.g., (Horwitz 2003) for a critical review), and is normally divided into three different categories: anatomical or structural, functional (FC) and effective connectivity (EC).”
- Networks of the Brain: Quantitative Analysis and Modeling (2010, positive): “Network Metrics Given the variety of methods for observing the brain’s anatomy and physiology, it is not surprising that there are also a number of different ways to define and record brain connectivity (Horwitz, 2003; Jirsa and McIntosh, 2007).”
- Functional connectivity of the insula in the resting brain (2011, neutral): “…among correlational methods of inferring brain connectivity, and defines “the temporal correlations across cortical regions", which represent an index of brain function (Friston et al., 1993; Horwitz, 2003 (Folstein et al., 1975) in which all patients received a score greater than or equal to 24.”
- Small-world networks and functional connectivity in Alzheimer's disease. (2006, background): “With this measure, a loss of upper alpha-, beta-, and gamma-band synchronization could be demonstrated in AD, both during a no-task state as well as during a working memory task (Stam and others 2002, 2003; Babiloni and others 2004; Pijnenburg and others 2004).”
- Assessing functional connectivity in the human brain by fMRI. (2007, methodology): “Currently, there is no consensus on the most accurate or efficient method of detecting or measuring functional connectivity using fMRI [2], though there is considerable interest and activity in this field.”
- The Statistical Analysis of fMRI Data. (2008, background): “Ultimately, the distinction between functional and effective connectivity is not entirely clear (Horwitz, 2003).”
- Measuring information integration (2003, background): “…not just the functional connectivity of a network, but the entire range of its effective connectivity (in neuroimaging studies, effective connectivity is generally characterized as a change in the strength of interactions between brain areas associated with time, attentional set, etc. [26,27]).”
- Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function (2005, background): “The concept of brain connectivity now plays a central role in neuroscience as a way to understand one possible dcode T of the functioning brain, as well as the organized behavior of cortical regions beyond the simple mapping of their activity (David et al., 2004; Horwitz, 2003; Lee et al., 2003).”
- Neurophysiological architecture of functional magnetic resonance images of human brain. (2005, background): “…Cortex September 2005;15:1332--1342 doi:10.1093/cercor/bhi016 Advance Access publication January 5, 2005 Downloaded from https://academic.oup.com/cercor/article-abstract/15/9/1332/288667 by guest on 29 July 2018 neurophysiological time series (Aertsen et al., 1989; Friston, 1993; Horwitz, 2003).”
- Disrupted small-world networks in schizophrenia. (2008, background): “Information interactions between interconnected brain regions are believed to be a basis of human cognitive processes (Pastor et al., 2000; Horwitz, 2003; Stam et al., 2007).”