Showing papers in "NeuroImage in 2005"

TL;DR: A new, MATLAB based toolbox for the SPM2 software package is introduced which enables the integration of probabilistic cytoarchitectonic maps and results of functional imaging studies and an easy-to-use tool for the integrated analysis of functional and anatomical data in a common reference space.

TL;DR: A survey of recent practice in neuroimaging reveals that the MS/GN test is very often misinterpreted as evidence of a logical AND, and it is suggested that the revised test proposed here is the appropriate means for conjunction inference in Neuroimaging.

TL;DR: In this article, the authors used diffusion tensor imaging (DTI) derived parameters to assess the extent of axonal damage, demyelination and axonal degeneration.

TL;DR: The fMRI results suggest that the functional contrasts within this single task differentially activate three separable anatomical networks related to the components of attention.

TL;DR: The findings suggest that there is a partial cerebral commonality between perceiving pain in another individual and experiencing it oneself, and this study adds to the understanding of the neurological mechanisms implicated in intersubjectivity and human empathy.

TL;DR: A new electronic atlas of human cerebral cortex that provides a substrate for a wide variety of brain-mapping analyses and a population-average surface representation that circumvents the biases inherent in choosing any single hemisphere as a target is described.

TL;DR: The presented exploratory approach of mapping influences between a region of interest and the rest of the brain can form a useful complement to existing models of effective connectivity.

TL;DR: In this article, the authors used functional and effective connectivity analyses to show that listening to music strongly modulates activity in a network of mesolimbic structures involved in reward processing including the nucleus accumbens and the ventral tegmental area (VTA), as well as the hypothalamus and insula, which are thought to be involved in regulating autonomic and physiological responses to rewarding and emotional stimuli.

TL;DR: An experimental design and analysis framework to implement CHARMED MRI that is feasible on human clinical scanners is provided and it is assumed that these images might be more sensitive than DTI to white matter disorders.

TL;DR: A novel method for improving the conventional ASP algorithm by making use of partial volume information through probabilistic classification in order to allow for topology preservation across a less restricted range of cortical thickness values is presented.

TL;DR: During visual working memory, the electroencephalographic (EEG) process producing 5-7 Hz frontal midline theta (fmtheta) activity exhibits multiple spectral modes involving at least three frequency bands and a wide range of amplitudes.

TL;DR: The tensor PICA approach is able to efficiently and accurately extract signals of interest in the spatial, temporal, and subject/session domain and gives simple and useful representations of multisubject/multisession FMRI data that can aid the interpretation and optimization of group FMRI studies beyond what can be achieved using model-based analysis techniques.

TL;DR: It is demonstrated that SVM outperforms FLD in classification performance as well as in robustness of the spatial maps obtained (i.e, the SVM discrimination maps had greater overlap with the general linear model (GLM) analysis compared to the FLD).

TL;DR: The precision of cortical thickness measurements was studied using a simulated population study and single subject reproducibility metrics, and the sensitivity of the method to subtle, focal changes in cortical thickness was shown to be a reliable method.

TL;DR: By reducing the signal strength using higher image resolution, the ratio of physiologic to image noise could be reduced to a regime where increased sensitivity afforded by higher field strength still translated to improved SNR in the fMRI time-series.

TL;DR: Results demonstrate that completely noninvasive focal disruption of the blood-brain barrier (BBB) is possible.

TL;DR: The notion that the signal differences between positive and negative outcomes involve the nucleus accumbens more in adolescents than in adults, and the amygdala more in adults than in adolescents is supported.

TL;DR: The results suggest that, even with moderate smoothing, a large number of voxels within central white matter regions may have non-normally distributed residuals thus making valid statistical inferences with a parametric approach problematic in these areas.

TL;DR: It is suggested that crude sensory input from the superior colliculo-pulvinar visual pathway to the amygdala may allow for sufficient appraisal of fear signals to innervate the locus coeruleus, which may represent an evolutionary adaptive neural 'alarm' system for rapid alerting to sources of threat, without the need for conscious appraisal.

TL;DR: An fMRI study was used to measure the brain activation of a group of adults with high-functioning autism compared to a Full Scale and Verbal IQ and age-matched control group during an n-back working memory task with letters, suggesting that the normal controls might use verbal codes to perform the task, while the adults with autism might use visual codes.

TL;DR: This paper describes a simple set of "recipes" for the analysis of high spatial density EEG, and demonstrates how corresponding algorithms can be used to remove eye-motion artifacts, extract strong evoked responses, and decompose temporally overlapping components.

TL;DR: Facial expressions of pain were found to engage cortical areas also engaged by the first-hand experience of pain, including anterior cingulate cortex and insula, which lend support to the idea that common neural substrates are involved in representing one's own and others' affective states.

TL;DR: The current method enables the multi-subject fNIRS data to be presented in the MNI space with clear description of associated positional variability and will not only strengthen the validity of the population analysis of fNirS studies, but will also facilitate both intra- and inter-modal data sharing among the neuroimaging community.

TL;DR: The results support models suggesting that MPFC mediates meta-cognitive processes that may be recruited for direct and reflected self appraisals depending upon the demands of a specific task.

TL;DR: New methods to remove both kinds of artifact from functional magnetic resonance imaging and electroencephalography and a robust algorithm for the accurate detection of heart beat peaks from poor quality electrocardiographic data that are collected for the purpose of BCG artifact removal are described.

TL;DR: A novel longitudinal voxel-based method is used to map the progression of GM loss in MCI patients over time and compared converters to non-converters to better understand the pathological processes underlying AD and to monitor the effects of treatment on brain structure.

TL;DR: In this paper, the authors used diffusion MRI tractography, a noninvasive technique based on diffusion-weighted MRI, to investigate the possibility of a similar pattern of connectivity in the human brain for the first time.

TL;DR: Evidence is provided that depressed patients need greater activation within the same neural network to maintain a similar level of performance as controls during a working memory task, and that depression may impair the cognitive capacity of depressed patients by recruiting more brain resources than controls during cognitive control.

TL;DR: This fMRI study demonstrated that manual acupuncture at ST 36 (Stomach 36, Zusanli), a main acupoint on the leg, modulated neural activity at multiple levels of the cerebro-cerebellar and limbic systems.

TL;DR: Evidence is presented for a common set of frontal and parietal regions engaged in response inhibition across three tasks: a go/no-go task, a flanker task, and a stimulus-response compatibility task that suggests common interference detection and/or resolution mechanisms are engaged across tasks.