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Multivariate brain mapping in clinical neuroscience researchEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Over the past decade a number of innovative developments in imaging technology have expanded the frontiers of clinical investigation in the neurosciences. Radiotracer imaging with positron emission tomography (PET) and single photon emission computerized tomography (SPECT) have become increasingly available for patient-oriented research. Moreover, highly innovative magnetic resonance imaging (MRI) techniques have been developed to provide critical information regarding structure/function relationships in the brain in both health and disease. In this regard, minimally invasive imaging techniques to assess neural function ha...
Source: Clinical Neuroscience Research - November 1, 2007 Category: Neuroscience Authors: Yilong Ma, David Eidelberg Tags: Editorial Source Type: journals

The application of network mapping in differential diagnosis of parkinsonian disordersEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Although approximately 1–3% of the population over age 65 have Parkinson’s disease (PD), only about 75% of the patients diagnosed with parkinsonism have PD. The differential diagnosis of parkinsonian disorders based on clinical symptoms alone is particularly difficult during the early stages of the disease. A number of imaging strategies have been developed to differentiate between these clinically similar conditions. The assessment of abnormal patterns of brain metabolism, either by visual inspection or using computer-assisted algorithms, can be used to discriminate between classical PD and atypical variant ...
Source: Clinical Neuroscience Research - November 1, 2007 Category: Neuroscience Authors: Thomas Eckert, Christine Edwards Source Type: journals

Identifying functional imaging markers of mild cognitive impairment in early Alzheimer’s and Parkinson’s disease using multivariate analysisEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
This article will focus on investigating the baseline and progression of MCI using functional brain imaging techniques and multivariate analysis in order to understand the genesis and natural history of cognitive impairment in Alzheimer’s disease (AD) and Parkinson’s disease (PD), respectively.
Source: Clinical Neuroscience Research - November 1, 2007 Category: Neuroscience Authors: Chaorui Huang, Paul Mattis, Per Julin Source Type: journals

Multivariate analysis: Applications to the study of hereditary movement disordersEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Idiopathic torsion dystonia and Huntington’s disease represent autosomal dominant inherited hyperkinetic disorders that vary considerably with regard to pathologic mechanisms and clinical penetrance. To study these mechanisms, non-manifesting DYT1 mutation carriers (nmDYT1) and presymptomatic HD gene carriers (p-HD), as well as age-matched controls were scanned with (i) FDG PET in the resting state, and (ii) 15O-labeled water PET while performing a motor sequence learning task and motor execution task. We used voxel-based principal components analysis (PCA) to isolate the effects of genotype on regional metabol...
Source: Clinical Neuroscience Research - November 1, 2007 Category: Neuroscience Authors: Maren Carbon, Andrew Feigin, David Eidelberg Source Type: journals

Neural network approaches and their reproducibility in the study of verbal working memory and Alzheimer’s diseaseEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: As clinical and cognitive neurosciences mature, the need for sophisticated neuroimaging analysis becomes more apparent. Multivariate analysis techniques have recently received increasing attention because they have attractive features that cannot be easily realized by the more commonly used univariate, voxel-wise, techniques. Multivariate approaches evaluate correlation/covariance of activation across brain regions, rather than proceeding on a voxel-by-voxel basis. Thus, their results can be more easily interpreted as a signature of neural networks. Univariate approaches, in contrast, cannot directly address func...
Source: Clinical Neuroscience Research - November 1, 2007 Category: Neuroscience Authors: Christian Habeck, Yaakov Stern Source Type: journals

A network approach to fMRI condition-dependent cognitive activation studies as applied to understanding sex differencesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Network approaches to analysis of functional neuroimaging data provide a powerful means with which to understand the complex functioning of the brain in health and disease. To illustrate how such approaches can be used to investigate sex differences in neurocognition, we applied the multivariate technique of Principal Components Analysis (PCA) to an fMRI dataset obtained during performance of mental rotation – a classic visuospatial task known to give rise to sex differences in performance. In agreement with prior results obtained using univariate methods, PCA identified a core mental rotation network (principa...
Source: Clinical Neuroscience Research - November 1, 2007 Category: Neuroscience Authors: Tracy Butler, Hong Pan, Julianne Imperato-McGinley, Daniel Voyer, Amy Christine Cunningham-Bussel, Juan J. Cordero, Yuan-Shan Zhu, David Silbersweig, Emily Stern Source Type: journals

Author Index to Volume 6Email this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Source: Clinical Neuroscience Research - November 1, 2007 Category: Neuroscience Source Type: journals

Subject Index to Volume 6Email this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Source: Clinical Neuroscience Research - November 1, 2007 Category: Neuroscience Source Type: journals

Contents to Volume 6Email this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Source: Clinical Neuroscience Research - November 1, 2007 Category: Neuroscience Source Type: journals