Análisis volumétrico mesiotemporal: valores normativos del hipocampo, la amígdala y el córtex entorrinal en la población adulta portuguesa

Pereira, Pedro Gonçalves; Oliveira, Eduardo De; Insausti, Ricardo

doi:10.33588/rn.4212.2005352

Cited by 8 publications

(1 citation statement)

References 56 publications

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“…A medida média do hipocampo direito de uma pessoa normal é de cerca de 3,51cm³ e o hipocampo esquerdo mede cerca de 3,4745 cm³ (ARAÚJO Jr., 2003). Pode observar que os volumes do hipocampo e córtex entorrinal esquerdos são menores do que os volumes destas mesmas estruturas do lado direito (PEREIRA, OLIVEIRA, INSAUSTI, 2006).…”

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Avaliação da progressão da atrofia de estruturas do lobo temporal nas epilepsias de lobo temporal

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Cendes²

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Avaliação da progressão da atrofia de estruturas do lobo temporal nas epilepsias de lobo temporal

Barros¹,

Cendes²

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Anatomical Global Spatial Normalization

et al. 2010

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Anatomical global spatial normalization (aGSN) is presented as a method to scale high-resolution brain images to control for variability in brain size without altering the mean size of other brain structures. Two types of mean preserving scaling methods were investigated, “shape preserving” and “shape standardizing”. aGSN was tested by examining 56 brain structures from an adult brain atlas of 40 individuals (LPBA40) before and after normalization, with detailed analyses of cerebral hemispheres, all gyri collectively, cerebellum, brainstem, and left and right caudate, putamen, and hippocampus. Mean sizes of brain structures as measured by volume, distance, and area were preserved and variance reduced for both types of scale factors. An interesting finding was that scale factors derived from each of the ten brain structures were also mean preserving. However, variance was best reduced using whole brain hemispheres as the reference structure, and this reduction was related to its high average correlation with other brain structures. The fractional reduction in variance of structure volumes was directly related to ρ2, the square of the reference-to-structure correlation coefficient. The average reduction in variance in volumes by aGSN with whole brain hemispheres as the reference structure was approximately 32%. An analytical method was provided to directly convert between conventional and aGSN scale factors to support adaptation of aGSN to popular spatial normalization software packages.

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High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas

et al. 2017

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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.

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Análisis volumétrico mesiotemporal: valores normativos del hipocampo, la amígdala y el córtex entorrinal en la población adulta portuguesa

Cited by 8 publications

References 56 publications

Avaliação da progressão da atrofia de estruturas do lobo temporal nas epilepsias de lobo temporal

Avaliação da progressão da atrofia de estruturas do lobo temporal nas epilepsias de lobo temporal

Anatomical Global Spatial Normalization

High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas

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