Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas
by
Saygin, Z.M.
, van der Kouwe, A.J.W.
, Frosch, M.P.
, Reuter, M.
, Stevens, A.
, Fischl, B.
, Boyd, E.
, Kliemann, D.
, Iglesias, J.E.
, Augustinack, J.C.
, McKee, A.
, Van Leemput, K.
in
Adults
/ Aged
/ Aged, 80 and over
/ Alzheimer Disease - diagnostic imaging
/ Alzheimer's
/ Alzheimer's disease
/ Alzheimers disease
/ Amygdala
/ Amygdala - anatomy & histology
/ Amygdala - diagnostic imaging
/ Amygdala - pathology
/ Atlases as Topic
/ Autism
/ Autism Spectrum Disorder - diagnostic imaging
/ Bayesian analysis
/ Brain
/ Classification
/ Cortex
/ Disorders
/ Emotions
/ Ex vivo
/ Female
/ Field strength
/ High resolution
/ Histology
/ Humans
/ Image processing
/ Image Processing, Computer-Assisted - methods
/ Image resolution
/ Limbic system
/ Magnetic resonance imaging
/ Magnetic Resonance Imaging - methods
/ Male
/ Medial temporal lobe
/ Medical imaging
/ Middle Aged
/ Neural networks
/ Neurodegenerative diseases
/ Neurodevelopmental disorders
/ Neuroimaging
/ Neurology
/ Neurosciences
/ NMR
/ Nuclear magnetic resonance
/ Nuclei
/ Scanning
/ Segmentation
/ Statistical inference
/ Studies
2017
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas
by
Saygin, Z.M.
, van der Kouwe, A.J.W.
, Frosch, M.P.
, Reuter, M.
, Stevens, A.
, Fischl, B.
, Boyd, E.
, Kliemann, D.
, Iglesias, J.E.
, Augustinack, J.C.
, McKee, A.
, Van Leemput, K.
in
Adults
/ Aged
/ Aged, 80 and over
/ Alzheimer Disease - diagnostic imaging
/ Alzheimer's
/ Alzheimer's disease
/ Alzheimers disease
/ Amygdala
/ Amygdala - anatomy & histology
/ Amygdala - diagnostic imaging
/ Amygdala - pathology
/ Atlases as Topic
/ Autism
/ Autism Spectrum Disorder - diagnostic imaging
/ Bayesian analysis
/ Brain
/ Classification
/ Cortex
/ Disorders
/ Emotions
/ Ex vivo
/ Female
/ Field strength
/ High resolution
/ Histology
/ Humans
/ Image processing
/ Image Processing, Computer-Assisted - methods
/ Image resolution
/ Limbic system
/ Magnetic resonance imaging
/ Magnetic Resonance Imaging - methods
/ Male
/ Medial temporal lobe
/ Medical imaging
/ Middle Aged
/ Neural networks
/ Neurodegenerative diseases
/ Neurodevelopmental disorders
/ Neuroimaging
/ Neurology
/ Neurosciences
/ NMR
/ Nuclear magnetic resonance
/ Nuclei
/ Scanning
/ Segmentation
/ Statistical inference
/ Studies
2017
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas
by
Saygin, Z.M.
, van der Kouwe, A.J.W.
, Frosch, M.P.
, Reuter, M.
, Stevens, A.
, Fischl, B.
, Boyd, E.
, Kliemann, D.
, Iglesias, J.E.
, Augustinack, J.C.
, McKee, A.
, Van Leemput, K.
in
Adults
/ Aged
/ Aged, 80 and over
/ Alzheimer Disease - diagnostic imaging
/ Alzheimer's
/ Alzheimer's disease
/ Alzheimers disease
/ Amygdala
/ Amygdala - anatomy & histology
/ Amygdala - diagnostic imaging
/ Amygdala - pathology
/ Atlases as Topic
/ Autism
/ Autism Spectrum Disorder - diagnostic imaging
/ Bayesian analysis
/ Brain
/ Classification
/ Cortex
/ Disorders
/ Emotions
/ Ex vivo
/ Female
/ Field strength
/ High resolution
/ Histology
/ Humans
/ Image processing
/ Image Processing, Computer-Assisted - methods
/ Image resolution
/ Limbic system
/ Magnetic resonance imaging
/ Magnetic Resonance Imaging - methods
/ Male
/ Medial temporal lobe
/ Medical imaging
/ Middle Aged
/ Neural networks
/ Neurodegenerative diseases
/ Neurodevelopmental disorders
/ Neuroimaging
/ Neurology
/ Neurosciences
/ NMR
/ Nuclear magnetic resonance
/ Nuclei
/ Scanning
/ Segmentation
/ Statistical inference
/ Studies
2017
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas
Journal Article
High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas
2017
Request now
and choose the collection method
Overview
The amygdala is composed of multiple nuclei with unique functions and connections in the limbic system and to the rest of the brain. However, standard in vivo neuroimaging tools to automatically delineate the amygdala into its multiple nuclei are still rare. By scanning postmortem specimens at high resolution (100–150µm) at 7T field strength (n = 10), we were able to visualize and label nine amygdala nuclei (anterior amygdaloid, cortico-amygdaloid transition area; basal, lateral, accessory basal, central, cortical medial, paralaminar nuclei). We created an atlas from these labels using a recently developed atlas building algorithm based on Bayesian inference. This atlas, which will be released as part of FreeSurfer, can be used to automatically segment nine amygdala nuclei from a standard resolution structural MR image. We applied this atlas to two publicly available datasets (ADNI and ABIDE) with standard resolution T1 data, used individual volumetric data of the amygdala nuclei as the measure and found that our atlas i) discriminates between Alzheimer's disease participants and age-matched control participants with 84% accuracy (AUC=0.915), and ii) discriminates between individuals with autism and age-, sex- and IQ-matched neurotypically developed control participants with 59.5% accuracy (AUC=0.59). For both datasets, the new ex vivo atlas significantly outperformed (all p < .05) estimations of the whole amygdala derived from the segmentation in FreeSurfer 5.1 (ADNI: 75%, ABIDE: 54% accuracy), as well as classification based on whole amygdala volume (using the sum of all amygdala nuclei volumes; ADNI: 81%, ABIDE: 55% accuracy). This new atlas and the segmentation tools that utilize it will provide neuroimaging researchers with the ability to explore the function and connectivity of the human amygdala nuclei with unprecedented detail in healthy adults as well as those with neurodevelopmental and neurodegenerative disorders.
•We visualized 9 nuclei boundaries (anterior amygdaloid area, cortico-amygdaloid transition area; basal, lateral, accessory basal, central, cortical medial, paralaminar nuclei) using ultra-high-resolution ex vivo imaging.•Nuclei were consistent across cases and raters.•We built a segmentation atlas of the amygdala nuclei, which will be distributed with FreeSurfer.•Atlas was applied to 2 datasets and showed higher discriminability of Alzheimer's & autism than previously possible.•The atlas will provide neuroimaging researchers with the ability to test nucleus function with greater spatial specificity.
Publisher
Elsevier Inc,Elsevier Limited
Subject
/ Aged
/ Alzheimer Disease - diagnostic imaging
/ Amygdala
/ Amygdala - anatomy & histology
/ Amygdala - diagnostic imaging
/ Autism
/ Autism Spectrum Disorder - diagnostic imaging
/ Brain
/ Cortex
/ Emotions
/ Ex vivo
/ Female
/ Humans
/ Image Processing, Computer-Assisted - methods
/ Magnetic Resonance Imaging - methods
/ Male
/ Neurodevelopmental disorders
/ NMR
/ Nuclei
/ Scanning
/ Studies
This website uses cookies to ensure you get the best experience on our website.