Amygdalar and hippocampal volume: A comparison between manual segmentation, Freesurfer and VBM

Grimm, O.; Pohlack, Sebastian T.; Cacciaglia, Raffaele; Winkelmann, Tobias; Plichta, Michael M.; Demirakça, Traute; Flor, Herta

doi:10.1016/j.jneumeth.2015.05.024

Cited by 83 publications

(62 citation statements)

References 43 publications

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“…Thickness estimates have previously been found to be in agreement with manual measurements from MRI images [41, 42], as well as ex vivo tissue measurements [43, 44]. Subcortical volume estimates have also been found to correspond well with manual segmentation protocols, particularly in young adults [45–52]. …”

Section: Study 1: Ccbdsupporting

confidence: 55%

Test–retest reliability of brain morphology estimates

2017

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Metrics of brain morphology are increasingly being used to examine inter-individual differences, making it important to evaluate the reliability of these structural measures. Here we used two open-access datasets to assess the intersession reliability of three cortical measures (thickness, gyrification, and fractal dimensionality) and two subcortical measures (volume and fractal dimensionality). Reliability was generally good, particularly with the gyrification and fractal dimensionality measures. One dataset used a sequence previously optimized for brain morphology analyses and had particularly high reliability. Examining the reliability of morphological measures is critical before the measures can be validly used to investigate inter-individual differences.

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Section: Study 1: Ccbdsupporting

confidence: 55%

Test–retest reliability of brain morphology estimates

2017

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“…Note that, these studies used different segmentation techniques. One may argue that the technique might influence findings in case of adjacent structures such as the pallidum and putamen (36). Our current observations suggest that subcortical alterations in adult OCD may be limited to the pallidum and hippocampus rather than widespread.…”

Section: Discussionmentioning

confidence: 99%

Distinct Subcortical Volume Alterations in Pediatric and Adult OCD: A Worldwide Meta- and Mega-Analysis

Boedhoe¹,

Schmaal²,

Abe³

et al. 2017

AJP

278

255

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Objective-Structural brain imaging studies in Obsessive-Compulsive Disorder (OCD) have produced inconsistent findings. This may be partially due to limited statistical power from relatively small samples and clinical heterogeneity related to variation in disease profile and developmental stage.Methods-To address these limitations, we conducted a meta-and mega-analysis of data from OCD sites worldwide. T 1 images from 1,830 OCD patients and 1,759 controls were analyzed, using coordinated and standardized processing, to identify subcortical brain volumes that differ in OCD patients and healthy controls. We additionally examined potential modulating effects of clinical characteristics on morphological differences in OCD patients.Results-The meta-analysis indicated that adult patients had significantly smaller hippocampal volumes (Cohen's d=−0.13; p=5.1x10 −3 , % difference −2.80) and larger pallidum volumes (d=0.16; p=1.6x10 −3 , % difference 3.16) compared to adult controls. Both effects were stronger in medicated patients compared to controls (d=−0.29; p=2.4x10 −5 , % difference −4.18 and d=0.29; p=1.2x10 −5 , % difference 4.38, respectively). Unmedicated pediatric patients had larger thalamic volumes (d=0.38, p=2.1x10 −3 ) compared to pediatric controls. None of these findings were mediated by sample characteristics such as mean age or field strength. Overall the mega-analysis yielded similar results. Conclusion-Our study indicates a different pattern of subcortical abnormalities in pediatric versus adult OCD patients. The pallidum and hippocampus seem to be of importance in adult OCD, whereas the thalamus seems to be key in pediatric OCD. This highlights the potential importance of neurodevelopmental alterations in OCD, and suggests that further research on neuroplasticity in OCD may be useful. IntroductionObsessive-compulsive disorder (OCD) is a neurodevelopmental disorder that affects 1-3% of the population (1; 2). In more than 50% of all OCD cases, symptoms emerge during Location of work and address for reprints: Premika S.W. Boedhoe, M.Sc.,

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“…For example, some studies used voxel count methods to determine volume while others used ROI methods. These methods produce comparable, but heterogeneous results, [86] and more research is needed to make direct comparisons between these methods [87]. Without a meta-analysis, it is difficult to come to quantitative conclusions about findings in the literature, including determining whether gait parameters were differentially associated with different neuropathologies.…”

Section: Resultsmentioning

confidence: 99%

Association between Various Brain Pathologies and Gait Disturbance

Wennberg

Savica

Mielke³

2017

Dement Geriatr Cogn Disord

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Background: Approximately 30% of older adults have disrupted gait. It is associated with increased risk of cognitive decline, disability, dementia, and death. Additionally, most older adults present with 1 or more neuropathologies at autopsy. Recently, there has been an effort to investigate the association between subclinical neuropathology and gait. Summary: We reviewed studies that investigated the association between gait and neuropathologies. Although all pathologies reviewed were associated with gait, grey matter atrophy was most consistently linked with poorer gait performance. Studies investigating the association between white matter and gait focused primarily on total white matter. Future research using more parsed regional analysis will provide more insight into this relationship. Evidence from studies investigating neuronal activity and gait suggests that gait disruption is associated with both under- and overactivation. Additional research is needed to delineate these conflicting results. Lastly, early evidence suggests that both amyloid and tau aggregation negatively impact multiple gait parameters, but additional studies are warranted. Overall, there was substantial methodological heterogeneity and a paucity of longitudinal studies. Key Messages: Longitudinal studies mapping changes in different types of neuropathology as they relate to changes in multiple gait parameters are needed to better understand trajectories of pathology and gait.

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Amygdalar and hippocampal volume: A comparison between manual segmentation, Freesurfer and VBM

Cited by 83 publications

References 43 publications

Test–retest reliability of brain morphology estimates

Test–retest reliability of brain morphology estimates

Distinct Subcortical Volume Alterations in Pediatric and Adult OCD: A Worldwide Meta- and Mega-Analysis

Association between Various Brain Pathologies and Gait Disturbance

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