Multidimensional Scaling of Integrated Neurocognitive Function and Schizophrenia as a Disconnexion Disorder

Welchew, David; Honey, Garry D.; Sharma, Tonmoy; Robbins, Trevor W.; Bullmore, Edward T.

doi:10.1006/nimg.2002.1246

Cited by 32 publications

(20 citation statements)

References 37 publications

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“…Techniques such as multidimensional scaling and PCA have been applied already to functional imaging data [Friston et al, 1996;Sugiura et al, 2004;Welchew et al, 2002]. Moreover, Lohmann and Bohn [2002] proposed the combination of replicator dynamics and PCA for the extraction of a series of functionally coherent networks from single-subject data, making use of the strong similarity between the two techniques.…”

Section: Discussionmentioning

confidence: 99%

Meta‐analysis of functional imaging data using replicator dynamics

Neumann

Lohmann

Derrfuß

et al. 2005

Human Brain Mapping

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Despite the rapidly growing number of meta-analyses in functional neuroimaging, the field lacks formal mathematical tools for the quantitative and qualitative evaluation of meta-analytic data. We propose to use replicator dynamics in the meta-analysis of functional imaging data to address an important aspect of neuroimaging research, the search for functional networks of cortical areas that underlie a specific cognitive task. The replicator process requires as input only a list of activation locations, and it results in a network of locations that jointly show significant activation in most studies included in the meta-analysis. These locations are likely to play a critical role in solving the investigated cognitive task. Our method was applied to a meta-analysis of the Stroop interference task using data provided by the publicly accessible database BrainMap DBJ.

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Section: Discussionmentioning

confidence: 99%

Meta‐analysis of functional imaging data using replicator dynamics

Neumann

Lohmann

Derrfuß

et al. 2005

Human Brain Mapping

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“…The aim was to identify any strong negative correlations (at P < 0.001 uncorrected). The results were visualized using multidimensional scaling (MDS, for a similar procedure see [Kherif et al, 2003; Welchew et al, 2002]).…”

Section: Methodsmentioning

confidence: 99%

Regional and hemispheric determinants of language laterality: Implications for preoperative fMRI

Seghier

Kherif

Josse

et al. 2010

Human Brain Mapping

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Language is typically a function of the left hemisphere but the right hemisphere is also essential in some healthy individuals and patients. This inter-subject variability necessitates the localization of language function, at the individual level, prior to neurosurgical intervention. Such assessments are typically made by comparing left and right hemisphere language function to determine ''language lateralization'' using clinical tests or fMRI. Here, we show that language function needs to be assessed at the region and hemisphere specific level, because laterality measures can be misleading. Using fMRI data from 82 healthy participants, we investigated the degree to which activation for a semantic word matching task was lateralized in 50 different brain regions and across the entire cortex. This revealed two novel findings. First, the degree to which language is lateralized across brain regions and between subjects was primarily driven by differences in right hemisphere activation rather than differences in left hemisphere activation. Second, we found that healthy subjects who have relatively high left lateralization in the angular gyrus also have relatively low left lateralization in the ventral precentral gyrus. These findings illustrate spatial heterogeneity in language lateralization that is lost when global laterality measures are considered. It is likely that the complex spatial variability we observed in healthy controls is more exaggerated in patients with brain damage. We therefore highlight the importance of investigating within hemisphere regional variations in fMRI activation, prior to neuro-surgical intervention, to determine how each hemisphere and each region contributes to language processing. Hum Brain Mapp 32:1602-1614,

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“…For medical image analysis, it is important to take advantage of the full range of information presented in an image, thus one has to consider distance and shape attributes [21,32]. Separation between left and right brain sulci was developed using MDS for a new geometric representation [21].…”

Section: Introductionmentioning

confidence: 99%

Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?

Ionescu

Machado

Keyser

2011

Computer Methods and Programs in Biomedicine

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a b s t r a c tThis paper presents the application of multidimensional scaling (MDS) analysis to data emerging from noninvasive lung function tests, namely the input respiratory impedance.The aim is to obtain a geometrical mapping of the diseases in a 3D space representation, allowing analysis of (dis)similarities between subjects within the same pathology groups, as well as between the various groups. The adult patient groups investigated were healthy, diagnosed chronic obstructive pulmonary disease (COPD) and diagnosed kyphoscoliosis, respectively. The children patient groups were healthy, asthma and cystic fibrosis. The results suggest that MDS can be successfully employed for mapping purposes of restrictive (kyphoscoliosis) and obstructive (COPD) pathologies. Hence, MDS tools can be further examined to define clear limits between pools of patients for clinical classification, and used as a training aid for medical traineeship.

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Multidimensional Scaling of Integrated Neurocognitive Function and Schizophrenia as a Disconnexion Disorder

Cited by 32 publications

References 37 publications

Meta‐analysis of functional imaging data using replicator dynamics

Meta‐analysis of functional imaging data using replicator dynamics

Regional and hemispheric determinants of language laterality: Implications for preoperative fMRI

Is multidimensional scaling suitable for mapping the input respiratory impedance in subjects and patients?

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