Articles with "parcellation" as a keyword



Topological analyses of functional connectomics: A crucial role of global signal removal, brain parcellation, and null models

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Published in 2018 at "Human Brain Mapping"

DOI: 10.1002/hbm.24305

Abstract: Recently, functional connectome studies based on resting‐state functional magnetic resonance imaging (R‐fMRI) and graph theory have greatly advanced our understanding of the topological principles of healthy and diseased brains. However, how different strategies for R‐fMRI… read more here.

Keywords: global signal; connectomics; parcellation; brain ... See more keywords

Deep multimodal saliency parcellation of cerebellar pathways: Linking microstructure and individual function through explainable multitask learning

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Published in 2024 at "Human Brain Mapping"

DOI: 10.1002/hbm.70008

Abstract: Parcellation of human cerebellar pathways is essential for advancing our understanding of the human brain. Existing diffusion magnetic resonance imaging tractography parcellation methods have been successful in defining major cerebellar fibre tracts, while relying solely… read more here.

Keywords: cerebellar pathways; saliency; function; structure ... See more keywords

OpenMAP‐T1: A Rapid Deep‐Learning Approach to Parcellate 280 Anatomical Regions to Cover the Whole Brain

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Published in 2024 at "Human Brain Mapping"

DOI: 10.1002/hbm.70063

Abstract: This study introduces OpenMAP‐T1, a deep‐learning‐based method for rapid and accurate whole‐brain parcellation in T1‐ weighted brain MRI, which aims to overcome the limitations of conventional normalization‐to‐atlas‐based approaches and multi‐atlas label‐fusion (MALF) techniques. Brain image… read more here.

Keywords: deep learning; 280 anatomical; brain; cover whole ... See more keywords

Artificial bee colony clustering with self-adaptive crossover and stepwise search for brain functional parcellation in fMRI data

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Published in 2019 at "Soft Computing"

DOI: 10.1007/s00500-018-3467-4

Abstract: The emergence of functional magnetic resonance imaging (fMRI) provides a good opportunity for brain functional parcellation. However, the high dimension and low signal-to-noise ratio of fMRI data brings difficulties to the existing parcellation methods. To… read more here.

Keywords: brain functional; parcellation; functional parcellation; fmri data ... See more keywords

Dynamic brain functional parcellation via sliding window and artificial bee colony algorithm

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Published in 2018 at "Applied Intelligence"

DOI: 10.1007/s10489-018-1328-6

Abstract: Dynamic brain functional parcellation is an important way to reveal the dynamics of brain function. However, current dynamic brain functional parcellation methods can not meet the need to clearly understand the dynamics. This paper presents… read more here.

Keywords: dynamic brain; brain functional; sliding window; functional parcellation ... See more keywords
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Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks

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Published in 2020 at "Medical image analysis"

DOI: 10.1016/j.media.2020.101639

Abstract: The parcellation of the human cortex into meaningful anatomical units is a common step of various neuroimaging studies. There have been multiple successful efforts to process magnetic resonance (MR) brain images automatically and identify specific… read more here.

Keywords: cortical parcellation; convolutional neural; model; mri ... See more keywords

Volumetric parcellation of the right ventricle for regional geometric and functional assessment

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Published in 2021 at "Medical image analysis"

DOI: 10.1016/j.media.2021.102044

Abstract: 3D echocardiography is an increasingly popular tool for assessing cardiac remodelling in the right ventricle (RV). It allows quantification of the cardiac chambers without any geometric assumptions, which is the main weakness of 2D echocardiography.… read more here.

Keywords: volumetric parcellation; parcellation method; partition; parcellation ... See more keywords

MAPBOT: Meta-analytic parcellation based on text, and its application to the human thalamus

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Published in 2017 at "NeuroImage"

DOI: 10.1016/j.neuroimage.2017.06.032

Abstract: &NA; Meta‐analysis of neuroimaging results has proven to be a popular and valuable method to study human brain functions. A number of studies have used meta‐analysis to parcellate distinct brain regions. A popular way to… read more here.

Keywords: based text; method; brain regions; meta ... See more keywords

Individualized tractography-based parcellation of the globus pallidus pars interna using 7T MRI in movement disorder patients prior to DBS surgery

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Published in 2018 at "NeuroImage"

DOI: 10.1016/j.neuroimage.2018.05.048

Abstract: Abstract The success of deep brain stimulation (DBS) surgeries for the treatment of movement disorders relies on the accurate placement of an electrode within the motor portion of subcortical brain targets. However, the high number… read more here.

Keywords: surgery; globus pallidus; prior dbs; dbs ... See more keywords

The structure of the serotonin system: A PET imaging study

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Published in 2020 at "NeuroImage"

DOI: 10.1016/j.neuroimage.2019.116240

Abstract: The human brain atlas of the serotonin (5-HT) system does not conform with commonly used parcellations of neocortex, since the spatial distribution of homogeneous 5-HT receptors and transporter is not aligned with such brain regions.… read more here.

Keywords: system; serotonin system; system pet; parcellation ... See more keywords
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Parcellation of the human amygdala using recurrence quantification analysis

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Published in 2021 at "NeuroImage"

DOI: 10.1016/j.neuroimage.2020.117644

Abstract: Several previous attempts have been made to divide the human amygdala into smaller subregions based on the unique functional properties of the subregions. Although these attempts have provided valuable insight into the functional heterogeneity in… read more here.

Keywords: human amygdala; analysis; connectivity; subdivision ... See more keywords