Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets

Arfanakis, Konstantinos; Cordes, Dietmar; Haughton, Victor M.; Crönlein, Moritz; Quigley, Michelle; Meyerand, M. Elizabeth

doi:10.1016/s0730-725x(00)00190-9

Cited by 173 publications

(142 citation statements)

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“…In an early positron emission tomography (PET) study by Paulesu et al (Paulesu et al, 1996) investigating adults with and without dyslexia, the group differences in task dependent activation patterns were interpreted to suggest that good reading required cooperation and connections among brain regions, and that dyslexia resulted from a disconnection among regions. A popular method for the in vivo examination of the cooperation between brain regions is called functional connectivity MRI (fcMRI), which examines the temporal coherence in which brain areas are engaged (Biswal et al, 1995;Cordes et al, 2000; Friston, 1994;Lowe et al, 1998). This data-driven analysis allows the identification of interregional correlations (with consistent regression coefficients across subjects) in low-frequency (<0.1 Hz) spontaneous BOLD fluctuations in the brain which cannot be attributed to the experimental paradigm (Arfanakis et al, 2000;Biswal et al, 1995;Cordes et al, 2000; Fox and Raichle, 2007; Friston, 1995; Horwitz et al, 1992;Lowe et al, 1998;Xiong et al, 1999).…”

Section: Accepted M Manuscriptmentioning

confidence: 99%

“…A popular method for the in vivo examination of the cooperation between brain regions is called functional connectivity MRI (fcMRI), which examines the temporal coherence in which brain areas are engaged (Biswal et al, 1995;Cordes et al, 2000; Friston, 1994;Lowe et al, 1998). This data-driven analysis allows the identification of interregional correlations (with consistent regression coefficients across subjects) in low-frequency (<0.1 Hz) spontaneous BOLD fluctuations in the brain which cannot be attributed to the experimental paradigm (Arfanakis et al, 2000;Biswal et al, 1995;Cordes et al, 2000; Fox and Raichle, 2007; Friston, 1995; Horwitz et al, 1992;Lowe et al, 1998;Xiong et al, 1999). Since this technique involves correlating signal changes in a seed region with signal changes in other parts of the brain, it can reveal functional interactions between brain areas (Friston et al, 1996).…”

Section: Accepted M Manuscriptmentioning

confidence: 99%

“…The fact that fcMRI is data-driven also means that it is task-driven rather than event-driven. Therefore, neural networks differ between rest, motor, visual and language tasks, but are not influenced by the kind, order of stimuli presented in a task (Bitan et al, 2005;Cordes et al, 2000;Pugh et al, 2000;Richards and Berninger, 2008). In addition, this procedure (task-driven fcMRI) has been shown to allow for the detection of taskdriven but stimulus independent brain activity (e.g., (Richards and Berninger, 2008).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

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The left occipitotemporal system in reading: Disruption of focal fMRI connectivity to left inferior frontal and inferior parietal language areas in children with dyslexia

et al. 2011

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The left occipitotemporal system in reading: Disruption of focal fMRI connectivity to left inferior frontal and inferior parietal language areas in children with dyslexia van der Mark, S; Klaver, P; Bucher, K; Maurer, U; Schulz, E; Brem, S; Martin, E; Brandeis, D van der Mark, S; Klaver, P; Bucher, K; Maurer, U; Schulz, E; Brem, S; Martin, E; Brandeis, D (2011). The left occipitotemporal system in reading: Disruption of focal fMRI connectivity to left inferior frontal and inferior parietal language areas in children with dyslexia. The left occipitotemporal system in reading: Disruption of focal fMRI connectivity to left inferior frontal and inferior parietal language areas in children with dyslexia Abstract Developmental dyslexia is a severe reading disorder, which is characterized by dysfluent reading and impaired automaticity of visual word processing. Adults with dyslexia show functional deficits in several brain regions including the so-called "Visual Word Form Area" (VWFA), which is implicated in visual word processing and located within the larger left occipitotemporal VWF-System. The present study examines functional connections of the left occipitotemporal VWF-System with other major language areas in children with dyslexia. Functional connectivity MRI was used to assess connectivity of the VWF-System in 18 children with dyslexia and 24 age matched controls (age 9.7-12.5 years) using five neighbouring left occipitotemporal regions of interest (ROIs) during a continuous reading task requiring phonological and orthographic processing. First, the results revealed a focal origin of connectivity from the VWF-System, in that mainly the VWFA was functionally connected with typical left frontal and parietal language areas in control children. Adjacent posterior and anterior VWF-System ROIs did not show such connectivity, confirming the special role that the VWFA plays in word processing. Second, we detected a significant disruption of functional connectivity between the VWFA and left inferior frontal and left inferior parietal language areas in the children with dyslexia. The current findings add to our understanding of dyslexia by showing that functional disconnection of the left occipitotemporal system is limited to the small VWFA region crucial for automatic visual word processing, and emerges early during reading acquisition in children with dyslexia, along with deficits in orthographic and phonological processing of visual word forms. ÔØ Å ÒÙ× Ö ÔØThe left occipitotemporal system in reading: Disruption of focal fMRI connectivity to left inferior frontal and inferior parietal language areas in children with dyslexia This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the cont...

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Section: Accepted M Manuscriptmentioning

confidence: 99%

Section: Accepted M Manuscriptmentioning

confidence: 99%

Section: Accepted Manuscriptmentioning

confidence: 99%

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The left occipitotemporal system in reading: Disruption of focal fMRI connectivity to left inferior frontal and inferior parietal language areas in children with dyslexia

et al. 2011

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“…As a result, many methods are available to this end, including activation maps (Huettel et al, 2004), as well as methods deriving from functional connectivity, such as principal or independent component analysis (Friston et al, 1993b;Arfanakis et al, 2000), or correlation maps (Biswal et al, 1995(Biswal et al, , 1997Xiong et al, 1999). In our study, we assume that this step has been successfully completed, providing us with a set of regions and corresponding signals.…”

Section: Introductionmentioning

confidence: 99%

Partial correlation for functional brain interactivity investigation in functional MRI

et al. 2006

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“…To date, methods for estimating functional and effective connectivity from brain imaging data can generally be classified into two types: Those that look for groupings of regions that work together without regard to how they are connected Arfanakis et al, 2000;Calhoun et al, 2001;Calhoun et al, 2005), and those that rely on an underlying model of connection patterns among a specific set of regions and connections that are hypothesized to mediate the task of interest (McIntosh & Gonzalez-Lima, 1994;Friston et al, 2003). While the former are purely data-driven, the latter methods are based on hypotheses about specific networks that are important in mediating the task under consideration, and the goal is to find connection strengths that satisfy the constraints of the imaging data.…”

Section: Introductionmentioning

confidence: 99%

Functional connectivity in fMRI: A modeling approach for estimation and for relating to local circuits

et al. 2007

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Although progress has been made in relating neuronal events to changes in brain metabolism and blood flow, the interpretation of functional neuroimaging data in terms of the underlying brain circuits is still poorly understood. Computational modeling of connection patterns both among and within regions can be helpful in this interpretation. We present a neural network model of the ventral visual pathway and its relevant functional connections. This includes a new learning method that adjusts the magnitude of interregional connections in order to match experimental results of an arbitrary functional magnetic resonance imaging (fMRI) data set. We demonstrate that this method finds the appropriate connection strengths when trained on a model system with known, randomly chosen connection weights. We then use the method for examining fMRI results from a one-back matching task in human subjects, both healthy and those with schizophrenia. The results discovered by the learning method support previous findings of a disconnection between left temporal and frontal cortices in the group with schizophrenia, and a concomitant increase of right-sided temporo-frontal connection strengths. We then demonstrate that the disconnection may be explained by reduced local recurrent circuitry in frontal cortex. This method extends currently available methods for estimating functional connectivity from human imaging data by including both local circuits and features of inter-regional connections, such as topography and sparseness, in addition to total connection strengths. Furthermore, our results suggest how fronto-temporal functional disconnection in schizophrenia can result from reduced local synaptic connections within frontal cortex rather than compromised inter-regional connections.

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Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets

Cited by 173 publications

References 23 publications

The left occipitotemporal system in reading: Disruption of focal fMRI connectivity to left inferior frontal and inferior parietal language areas in children with dyslexia

The left occipitotemporal system in reading: Disruption of focal fMRI connectivity to left inferior frontal and inferior parietal language areas in children with dyslexia

Partial correlation for functional brain interactivity investigation in functional MRI

Functional connectivity in fMRI: A modeling approach for estimation and for relating to local circuits

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