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Alan Evans

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31 papers
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31

YNIMG Journal 2022 Journal Article

Impact of weight loss on brain age: Improved brain health following bariatric surgery

  • Yashar Zeighami
  • Mahsa Dadar
  • Justine Daoust
  • Mélissa Pelletier
  • Laurent Biertho
  • Léonie Bouvet-Bouchard
  • Stephanie Fulton
  • André Tchernof

Individuals living with obesity tend to have increased brain age, reflecting poorer brain health likely due to grey and white matter atrophy related to obesity. However, it is unclear if older brain age associated with obesity can be reversed following weight loss and cardiometabolic health improvement. The aim of this study was to assess the impact of weight loss and cardiometabolic improvement following bariatric surgery on brain health, as measured by change in brain age estimated based on voxel-based morphometry (VBM) measurements. We used three distinct datasets to perform this study: 1) CamCAN dataset to train the brain age prediction model, 2) Human Connectome Project (HCP) dataset to investigate whether individuals with obesity have greater brain age than individuals with normal weight, and 3) pre-surgery, as well as 4, 12, and 24 month post-surgery data from participants (n = 87, age: 44. 0 ± 9. 2 years, BMI: 43. 9 ± 4. 2 kg/m2) who underwent a bariatric surgery to investigate whether weight loss and cardiometabolic improvement as a result of bariatric surgery lowers the brain age. As expected, our results from the HCP dataset showed a higher brain age for individuals with obesity compared to individuals with normal weight (T-value = 7. 08, p-value < 0. 0001). We also found significant improvement in brain health, indicated by a decrease of 2. 9 and 5. 6 years in adjusted delta age at 12 and 24 months following bariatric surgery compared to baseline (p-value < 0. 0005 for both). While the overall effect seemed to be driven by a global change across all brain regions and not from a specific region, our exploratory analysis showed lower delta age in certain brain regions (mainly in somatomotor, visual, and ventral attention networks) at 24 months. This reduced age was also associated with post-surgery improvements in BMI, systolic/diastolic blood pressure, and HOMA-IR (T-valueBMI=4. 29, T-valueSBP=4. 67, T-valueDBP=4. 12, T-valueHOMA-IR=3. 16, all p-values < 0. 05). In conclusion, these results suggest that obesity-related brain health abnormalities (as measured by delta age) might be reversed by bariatric surgery-induced weight loss and widespread improvements in cardiometabolic alterations.

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YNIMG Journal 2021 Journal Article

Maturational trajectories of pericortical contrast in typical brain development

  • Stefan Drakulich
  • Anne-Charlotte Thiffault
  • Emily Olafson
  • Olivier Parent
  • Aurelie Labbe
  • Matthew D. Albaugh
  • Budhachandra Khundrakpam
  • Simon Ducharme

In the last few years, a significant amount of work has aimed to characterize maturational trajectories of cortical development. The role of pericortical microstructure putatively characterized as the gray-white matter contrast (GWC) at the pericortical gray-white matter boundary and its relationship to more traditional morphological measures of cortical morphometry has emerged as a means to examine finer grained neuroanatomical underpinnings of cortical changes. In this work, we characterize the GWC developmental trajectories in a representative sample (n = 394) of children and adolescents (~4 to ~22 years of age), with repeated scans (1-3 scans per subject, total scans n = 819). We tested whether linear, quadratic, or cubic trajectories of contrast development best described changes in GWC. A best-fit model was identified vertex-wise across the whole cortex via the Akaike Information Criterion (AIC). GWC across nearly the whole brain was found to significantly change with age. Cubic trajectories were likeliest for 63% of vertices, quadratic trajectories were likeliest for 20% of vertices, and linear trajectories were likeliest for 16% of vertices. A main effect of sex was observed in some regions, where males had a higher GWC than females. However, no sex by age interactions were found on GWC. In summary, our results suggest a progressive decrease in GWC at the pericortical boundary throughout childhood and adolescence. This work contributes to efforts seeking to characterize typical, healthy brain development and, by extension, can help elucidate aberrant developmental trajectories.

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YNIMG Journal 2021 Journal Article

Spontaneous neural activity changes after bariatric surgery: A resting-state fMRI study

  • Yashar Zeighami
  • Sylvain Iceta
  • Mahsa Dadar
  • Mélissa Pelletier
  • Mélanie Nadeau
  • Laurent Biertho
  • Annie Lafortune
  • André Tchernof

BACKGROUND: Metabolic disorders associated with obesity could lead to alterations in brain structure and function. Whether these changes can be reversed after weight loss is unclear. Bariatric surgery provides a unique opportunity to address these questions because it induces marked weight loss and metabolic improvements which in turn may impact the brain in a longitudinal fashion. Previous studies found widespread changes in grey matter (GM) and white matter (WM) after bariatric surgery. However, findings regarding changes in spontaneous neural activity following surgery, as assessed with the fractional amplitude of low frequency fluctuations (fALFF) and regional homogeneity of neural activity (ReHo), are scarce and heterogenous. In this study, we used a longitudinal design to examine the changes in spontaneous neural activity after bariatric surgery (comparing pre- to post-surgery), and to determine whether these changes are related to cardiometabolic variables. METHODS: ) who underwent sleeve gastrectomy (SG), biliopancreatic diversion with duodenal switch (BPD), or Roux-en-Y gastric bypass (RYGB), scanned prior to bariatric surgery and at follow-up visits of 4 months (N = 36), 12 months (N = 29), and 24 months (N = 14) after surgery. We examined fALFF and ReHo measures across 1022 cortical and subcortical regions (based on combined Schaeffer-Xiao parcellations) using a linear mixed effect model. Voxel-based morphometry (VBM) based on T1-weighted images was also used to measure GM density in the same regions. We also used an independent sample from the Human Connectome Project (HCP) to assess regional differences between individuals who had normal-weight (N = 46) or severe obesity (N = 46). RESULTS: We found a global increase in the fALFF signal with greater increase within dorsolateral prefrontal cortex, precuneus, inferior temporal gyrus, and visual cortex. This effect was more significant 4 months after surgery. The increase within dorsolateral prefrontal cortex, temporal gyrus, and visual cortex was more limited after 12 months and only present in the visual cortex after 24 months. These increases in neural activity measured by fALFF were also significantly associated with the increase in GM density following surgery. Furthermore, the increase in neural activity was significantly related to post-surgery weight loss and improvement in cardiometabolic variables, such as blood pressure. In the independent HCP sample, normal-weight participants had higher global and regional fALFF signals, mainly in dorsolateral/medial frontal cortex, precuneus and middle/inferior temporal gyrus compared to the obese participants. These BMI-related differences in fALFF were associated with the increase in fALFF 4 months post-surgery especially in regions involved in control, default mode and dorsal attention networks. CONCLUSIONS: Bariatric surgery-induced weight loss and improvement in metabolic factors are associated with widespread global and regional increases in neural activity, as measured by fALFF signal. These findings alongside the higher fALFF signal in normal-weight participants compared to participants with severe obesity in an independent dataset suggest an early recovery in the neural activity signal level after the surgery.

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YNIMG Journal 2020 Journal Article

Brain status modeling with non-negative projective dictionary learning

  • Mingli Zhang
  • Christian Desrosiers
  • Yuhong Guo
  • Budhachandra Khundrakpam
  • Noor Al-Sharif
  • Greg Kiar
  • Pedro Valdes-Sosa
  • Jean-Baptiste Poline

Accurate prediction of individuals' brain age is critical to establish a baseline for normal brain development. This study proposes to model brain development with a novel non-negative projective dictionary learning (NPDL) approach, which learns a discriminative representation of multi-modal neuroimaging data for predicting brain age. Our approach encodes the variability of subjects in different age groups using separate dictionaries, projecting features into a low-dimensional manifold such that information is preserved only for the corresponding age group. The proposed framework improves upon previous discriminative dictionary learning methods by incorporating orthogonality and non-negativity constraints, which remove representation redundancy and perform implicit feature selection. We study brain development on multi-modal brain imaging data from the PING dataset (N = 841, age = 3-21 years). The proposed analysis uses our NDPL framework to predict the age of subjects based on cortical measures from T1-weighted MRI and connectome from diffusion weighted imaging (DWI). We also investigate the association between age prediction and cognition, and study the influence of gender on prediction accuracy. Experimental results demonstrate the usefulness of NDPL for modeling brain development.

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YNICL Journal 2020 Journal Article

Newborn amygdalar volumes are associated with maternal prenatal psychological distress in a sex-dependent way

  • Satu J. Lehtola
  • Jetro J. Tuulari
  • Noora M. Scheinin
  • Linnea Karlsson
  • Riitta Parkkola
  • Harri Merisaari
  • John D. Lewis
  • Vladimir S. Fonov

Maternal psychological distress during pregnancy (PPD) 1 1 prenatal psychosocial distress has been associated with changes in offspring amygdalar and hippocampal volumes. Studies on child amygdalae suggest that sex moderates the vulnerability of fetal brains to prenatal stress. However, this has not yet been observed in these structures in newborns. Newborn studies are crucial, as they minimize the confounding influence of postnatal life. We investigated the effects of maternal prenatal psychological symptoms on newborn amygdalar and hippocampal volumes and their interactions with newborn sex in 123 newborns aged 2–5 weeks (69 males, 54 females). Based on earlier studies, we anticipated small, but statistically significant effects of PPD on the volumes of these structures. Maternal psychological distress was measured at gestational weeks (GW) 2 2 gestational weeks 14, 24 and 34 using Symptom Checklist-90 (SCL-90, anxiety scale) 3 3 Symptom Checklist-90 and Edinburgh Postnatal Depression Scale (EPDS) 4 4 Edinburgh Postnatal Depression Scale questionnaires. Newborn sex was found to moderate the relationship between maternal distress symptoms at GW 24 and the volumes of left and right amygdala. This relationship was negative and significant only in males. No significant main effect or sex-based moderation was found for hippocampal volumes. This newborn study provides evidence for a sex-dependent influence of maternal psychiatric symptoms on amygdalar structural development. This association may be relevant to later psychopathology.

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YNIMG Journal 2019 Journal Article

Unbiased age-specific structural brain atlases for Chinese pediatric population

  • Tengda Zhao
  • Xuhong Liao
  • Vladimir S. Fonov
  • Qiushi Wang
  • Weiwei Men
  • Yanpei Wang
  • Shaozheng Qin
  • Shuping Tan

In magnetic resonance (MR) imaging studies of child brain development, structural brain atlases usually serve as important references for the pediatric population, in which individual images are spatially normalized into a common or standard stereotactic space. However, the popular existing pediatric brain atlases (e. g. , National Institutes of Health pediatric atlases, NIH-PD) are mostly based on MR images obtained from Caucasian populations and thus are not ideal for the characterization of the brains of Chinese children due to neuroanatomical differences related to genetic and environmental factors. Here, we use an unbiased template construction algorithm to create a set of age-specific Chinese pediatric (CHN-PD) atlases based on high-quality T1-and T2-weighted MR images from 328 cognitively normal Chinese children aged 6–12 years. The CHN-PD brain atlases include asymmetric and symmetric templates, sex-specific templates and tissue probability templates, and contain multiple age-specific templates at one-year intervals. A direct comparison of the CHN-PD and NIH-PD atlases reveals dramatic anatomical differences mainly in the bilateral frontal and parietal regions. After applying the CHN-PD and NIH-PD atlases to two independent Chinese pediatric datasets (N = 114 and N = 71), we find that the CHN-PD atlases result in significantly higher accuracy than the NIH-PD atlases in both predicting “brain age” and guiding brain tissue segmentation. These results suggest that the CHN-PD brain atlases are necessary for studies of the typical and atypical development of the Chinese pediatric population. These CHN-PD atlases have been released on the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC) website (https: //www. nitrc. org/projects/chn-pd).

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YNIMG Journal 2015 Journal Article

Accelerated longitudinal cortical thinning in adolescence

  • Dongming Zhou
  • Catherine Lebel
  • Sarah Treit
  • Alan Evans
  • Christian Beaulieu

It remains unclear if changes of the cerebral cortex occur gradually from childhood to adulthood, or if adolescence marks a differential period of cortical development. In the current study of 90 healthy volunteers aged 5–32years (48 females, 85 right handed) with 180 scans (2 scans for each participant with ~4year gaps), thinning of overall mean thickness and across the four major cortical lobes bilaterally was observed across this full age span. However, the thinning rate, calculated as Δcortical thickness/Δage (mm/year) between scans of each participant, revealed an accelerated cortical thinning during adolescence, which was preceded by less thinning in childhood and followed by decelerated thinning in young adulthood. Males and females showed similarly faster thinning rates during adolescence relative to young adults. The underlying basis and role of accelerated cortical thinning during adolescence for cognition, behaviour and disorders that appear at such a stage of development remains to be determined in future work.

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YNIMG Journal 2015 Journal Article

Alterations in cortical thickness development in preterm-born individuals: Implications for high-order cognitive functions

  • Kie Woo Nam
  • Nazareth Castellanos
  • Andrew Simmons
  • Seán Froudist-Walsh
  • Matthew P. Allin
  • Muriel Walshe
  • Robin M. Murray
  • Alan Evans

Very preterm birth (gestational age <33weeks) is associated with alterations in cortical thickness and with neuropsychological/behavioural impairments. Here we studied cortical thickness in very preterm born individuals and controls in mid-adolescence (mean age 15years) and beginning of adulthood (mean age 20years), as well as longitudinal changes between the two time points. Using univariate approaches, we showed both increases and decreases in cortical thickness in very preterm born individuals compared to controls. Specifically (1) very preterm born adolescents displayed extensive areas of greater cortical thickness, especially in occipitotemporal and prefrontal cortices, differences which decreased substantially by early adulthood; (2) at both time points, very preterm-born participants showed smaller cortical thickness, especially in parahippocampal and insular regions. We then employed a multivariate approach (support vector machine) to study spatially discriminating features between the two groups, which achieved a mean accuracy of 86. 5%. The spatially distributed regions in which cortical thickness best discriminated between the groups (top 5%) included temporal, occipitotemporal, parietal and prefrontal cortices. Within these spatially distributed regions (top 1%), longitudinal changes in cortical thickness in left temporal pole, right occipitotemporal gyrus and left superior parietal lobe were significantly associated with scores on language-based tests of executive function. These results describe alterations in cortical thickness development in preterm-born individuals in their second decade of life, with implications for high-order cognitive processing.

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YNIMG Journal 2014 Journal Article

Surface-based partial-volume correction for high-resolution PET

  • Thomas Funck
  • Caroline Paquette
  • Alan Evans
  • Alexander Thiel

Tissue radioactivity concentrations, measured with positron emission tomography (PET) are subject to partial volume effects (PVE) due to the limited spatial resolution of the scanner. Last generation high-resolution PET cameras with a full width at half maximum (FWHM) of 2–4mm are less prone to PVEs than previous generations. Corrections for PVEs are still necessary, especially when studying small brain stem nuclei or small variations in cortical neuroreceptor concentrations which may be related to cytoarchitectonic differences. Although several partial-volume correction (PVC) algorithms exist, these are frequently based on a priori assumptions about tracer distribution or only yield corrected values of regional activity concentrations without providing PVE corrected images. We developed a new iterative deconvolution algorithm (idSURF) for PVC of PET images that aims to overcome these limitations by using two innovative techniques: 1) the incorporation of anatomic information from a cortical gray matter surface representation, extracted from magnetic resonance imaging (MRI) and 2) the use of anatomically constrained filtering to attenuate noise. PVE corrected images were generated with idSURF implemented into a non-interactive processing pipeline. idSURF was validated using simulated and clinical PET data sets and compared to a frequently used standard PVC method (Geometric Transfer Matrix: GTM). The results on simulated data sets show that idSURF consistently recovers accurate radiotracer concentrations within 1–5% of true values. Both radiotracer concentrations and non-displaceable binding potential (BPnd) values derived from clinical PET data sets with idSURF were highly correlated with those obtained with the standard PVC method (R2 =0. 99, error=0%–3. 2%). These results suggest that idSURF is a valid and potentially clinically useful PVC method for automatic processing of large numbers of PET data sets.

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YNIMG Journal 2013 Journal Article

Cortical thickness asymmetry from childhood to older adulthood

  • Dongming Zhou
  • Catherine Lebel
  • Alan Evans
  • Christian Beaulieu

Age-related thinning of the cortical mantle varies regionally, leading to hemispheric asymmetries in cortical thickness that may emerge at various stages of development and aging. Cortical asymmetry may play a role in modulating the functional maturation (or degradation) of language and cognition in humans, but its evolution over the lifespan is unknown. Here cortical thickness was negatively correlated with age in 274 5–59year old, right-handed healthy participants. Pre-adolescents showed limited regions of cortical asymmetry focused on medial occipital lobe (R>L) and inferior frontal gyrus (R>L), namely vision and language relevant areas. More extensive frontal (lateral R>L, medial L>R) and parietal lobe (lateral L>R, medial R>L) asymmetries emerged after adolescence, and increased during aging. Changes of cortical asymmetry in these regions may be linked to specialization of the brain with maturity.

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YNIMG Journal 2011 Journal Article

Developmental cortical thinning in fetal alcohol spectrum disorders

  • Dongming Zhou
  • Catherine Lebel
  • Claude Lepage
  • Carmen Rasmussen
  • Alan Evans
  • Katy Wyper
  • Jacqueline Pei
  • Gail Andrew

Regional cortical thickness was evaluated using CIVET processing of 3D T1-weighted images (i) to compare the variation in cortical thickness between 33 participants with fetal alcohol spectrum disorders (FASD) aged 6–30years (mean age 12. 3years) versus 33 age/sex/hand-matched controls, and (ii) to examine developmental changes in cortical thickness with age from children to young adults in both groups. Significant cortical thinning was found in the participants with FASD in large areas of the bilateral middle frontal lobe, pre- and post- central areas, lateral and inferior temporal and occipital lobes compared to controls. No significant cortical thickness increases were observed for the FASD group. Cortical thinning with age in a linear model was observed in both groups, but the locations were different for each group. FASD participants showed thinning with age in the left middle frontal, bilateral precentral, bilateral precuneus and paracingulate, left inferior occipital and bilateral fusiform gyri; while controls showed decreases with age in the bilateral middle frontal gyrus, right inferior frontal gyrus, bilateral precuneus gyrus, and bilateral occipital gyrus. A battery of cognitive assessments of memory, attention, motor, and verbal abilities was conducted with many of the FASD participants, but no significant correlations were found between these cognitive scores and regional cortical thickness. Non-invasive measurements of cortical thickness in children to young adults with FASD have identified both key regions of cortex that may be more deleteriously affected by prenatal alcohol exposure as well as cortical changes with age that differ from normal developmental thinning.

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YNIMG Journal 2011 Journal Article

Multivariate analysis of MRI data for Alzheimer's disease, mild cognitive impairment and healthy controls

  • Eric Westman
  • Andrew Simmons
  • Yi Zhang
  • J-Sebastian Muehlboeck
  • Catherine Tunnard
  • Yawu Liu
  • Louis Collins
  • Alan Evans

We have used multivariate data analysis, more specifically orthogonal partial least squares to latent structures (OPLS) analysis, to discriminate between Alzheimer's disease (AD), mild cognitive impairment (MCI) and elderly control subjects combining both regional and global magnetic resonance imaging (MRI) volumetric measures. In this study, 117 AD patients, 122 MCI patients and 112 control subjects (from the AddNeuroMed study) were included. High-resolution sagittal 3D MP-RAGE datasets were acquired from each subject. Automated regional segmentation and manual outlining of the hippocampus were performed for each image. Altogether this yielded volumes of 24 different anatomically defined structures which were used for OPLS analysis. 17 randomly selected AD patients, 12 randomly selected control subjects and the 22 MCI subjects who converted to AD at 1-year follow up were excluded from the initial OPLS analysis to provide a small external test set for model validation. Comparing AD with controls we found a sensitivity of 87% and a specificity of 90% using hippocampal measures alone. Combining both global and regional measures resulted in a sensitivity of 90% and a specificity of 94%. This increase in sensitivity and specificity resulted in an increase of the positive likelihood ratio from 9 to 15. From the external test set, the model predicted 82% of the AD patients and 83% of the control subjects correctly. Finally, 73% of the MCI subjects which converted to AD at 1year follow-up were shown to resemble AD patients more closely than controls. This method shows potential for distinguishing between different patient groups. Combining the different MRI measures together resulted in a significantly better classification than using them separately. OPLS also shows potential for predicting conversion from MCI to AD.

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YNIMG Journal 2011 Journal Article

Where in-vivo imaging meets cytoarchitectonics: The relationship between cortical thickness and neuronal density measured with high-resolution [18F]flumazenil-PET

  • Christian la Fougère
  • Sarah Grant
  • Alexey Kostikov
  • Ralf Schirrmacher
  • Paul Gravel
  • Hyman M. Schipper
  • Andrew Reader
  • Alan Evans

MRI-based measurements of surface cortical thickness (SCT) have become a sensitive tool to quantify changes in cortical morphology. When comparing SCT to histological cortical thickness maps, a good correspondence can be found for many but not all human brain areas. Discrepancies especially arise in the sensory motor cortex, where histological cortical thickness is high, but SCT is very low. The aim of this study was to determine whether the relationship between cortical thickness and neuronal density is the same for different cytoarchitectonic areas throughout homo- and heterotypical isocortex. We assessed this relationship using high-resolution [18F]-labelled flumazenil (FMZ) PET and SCT-mapping. FMZ binds to the benzodiazepine GABAA receptor complex which is localized on axo-dendritic synapses, with a cortical distribution closely following the local density of neurons. SCT and voxelwise FMZ binding potential (BP ND ) were assessed in ten healthy subjects. After partial volume correction, two subsets with a differential relationship between SCT and BP ND were identified: a fronto-parietal homotypical subset where neuronal density is relatively constant and mainly independent of SCT, and a subset comprising heterotypical and mainly temporal and occipital homotypical regions where neuronal density is negatively correlated with SCT. This is the first in-vivo study demonstrating a differential relationship between SCT, neuronal density and cytoarchitectonics in humans. These findings are of direct relevance for the correct interpretation of SCT-based morphometry studies, in that there is no simple relationship between apparent cortical thickness and neuronal density, here attributed to FMZ binding, holding for all cortical regions.

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YNIMG Journal 2010 Journal Article

Atlas-guided tract reconstruction for automated and comprehensive examination of the white matter anatomy

  • Yajing Zhang
  • Jiangyang Zhang
  • Kenichi Oishi
  • Andreia V. Faria
  • Hangyi Jiang
  • Xin Li
  • Kazi Akhter
  • Pedro Rosa-Neto

Tractography based on diffusion tensor imaging (DTI) is widely used to quantitatively analyze the status of the white matter anatomy in a tract-specific manner in many types of diseases. This approach, however, involves subjective judgment in the tract-editing process to extract only the tracts of interest. This process, usually performed by manual delineation of regions of interest, is also time-consuming, and certain tracts, especially the short cortico-cortical association fibers, are difficult to reconstruct. In this paper, we propose an automated approach for reconstruction of a large number of white matter tracts. In this approach, existing anatomical knowledge about tract trajectories (called the Template ROI Set or TRS) were stored in our DTI-based brain atlas with 130 three-dimensional anatomical segmentations, which were warped non-linearly to individual DTI data. We examined the degree of matching with manual results for selected fibers. We established 30 TRSs to reconstruct 30 prominent and previously well-described fibers. In addition, TRSs were developed to delineate 29 short association fibers that were found in all normal subjects examined in this paper (N=20). Probabilistic maps of the 59 tract trajectories were created from the normal subjects and were incorporated into our image analysis tool for automated tract-specific quantification.

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YNIMG Journal 2009 Journal Article

Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimer's disease participants

  • Kenichi Oishi
  • Andreia Faria
  • Hangyi Jiang
  • Xin Li
  • Kazi Akhter
  • Jiangyang Zhang
  • John T. Hsu
  • Michael I. Miller

The purpose of this paper is to establish single-participant white matter atlases based on diffusion tensor imaging. As one of the applications of the atlas, automated brain segmentation was performed and the accuracy was measured using Large Deformation Diffeomorphic Metric Mapping (LDDMM). High-quality diffusion tensor imaging (DTI) data from a single-participant were B0-distortion-corrected and transformed to the ICBM-152 atlas or to Talairach coordinates. The deep white matter structures, which have been previously well documented and clearly identified by DTI, were manually segmented. The superficial white matter areas beneath the cortex were defined, based on a population-averaged white matter probability map. The white matter was parcellated into 176 regions based on the anatomical labeling in the ICBM-DTI-81 atlas. The automated parcellation was achieved by warping this parcellation map to normal controls and to Alzheimer's disease patients with severe anatomical atrophy. The parcellation accuracy was measured by a kappa analysis between the automated and manual parcellation at 11 anatomical regions. The kappa values were 0. 70 for both normal controls and patients while the inter-rater reproducibility was 0. 81 (controls) and 0. 82 (patients), suggesting “almost perfect” agreement. A power analysis suggested that the proposed method is suitable for detecting FA and size abnormalities of the white matter in clinical studies.

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YNIMG Journal 2008 Journal Article

Human brain white matter atlas: Identification and assignment of common anatomical structures in superficial white matter

  • Kenichi Oishi
  • Karl Zilles
  • Katrin Amunts
  • Andreia Faria
  • Hangyi Jiang
  • Xin Li
  • Kazi Akhter
  • Kegang Hua

Structural delineation and assignment are the fundamental steps in understanding the anatomy of the human brain. The white matter has been structurally defined in the past only at its core regions (deep white matter). However, the most peripheral white matter areas, which are interleaved between the cortex and the deep white matter, have lacked clear anatomical definitions and parcellations. We used axonal fiber alignment information from diffusion tensor imaging (DTI) to delineate the peripheral white matter, and investigated its relationship with the cortex and the deep white matter. Using DTI data from 81 healthy subjects, we identified nine common, blade-like anatomical regions, which were further parcellated into 21 subregions based on the cortical anatomy. Four short association fiber tracts connecting adjacent gyri (U-fibers) were also identified reproducibly among the healthy population. We anticipate that this atlas will be useful resource for atlas-based white matter anatomical studies.

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YNIMG Journal 2008 Journal Article

Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template

  • Susumu Mori
  • Kenichi Oishi
  • Hangyi Jiang
  • Li Jiang
  • Xin Li
  • Kazi Akhter
  • Kegang Hua
  • Andreia V. Faria

Brain registration to a stereotaxic atlas is an effective way to report anatomic locations of interest and to perform anatomic quantification. However, existing stereotaxic atlases lack comprehensive coordinate information about white matter structures. In this paper, white matter-specific atlases in stereotaxic coordinates are introduced. As a reference template, the widely used ICBM-152 was used. The atlas contains fiber orientation maps and hand-segmented white matter parcellation maps based on diffusion tensor imaging (DTI). Registration accuracy by linear and non-linear transformation was measured, and automated template-based white matter parcellation was tested. The results showed a high correlation between the manual ROI-based and the automated approaches for normal adult populations. The atlases are freely available and believed to be a useful resource as a target template and for automated parcellation methods.

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YNIMG Journal 2007 Journal Article

An unbiased iterative group registration template for cortical surface analysis

  • Oliver Lyttelton
  • Maxime Boucher
  • Steven Robbins
  • Alan Evans

Accurate alignment of explicit surface representations of human cerebral cortices is necessary in order to compare local individual differences in cortical morphometric measurements (thickness, surface area, gyrification, etc.) in both normal and clinical populations. This paper presents a methodology for developing unbiased, high resolution iterative registration templates from a group of 222 subject hemispheres and shows that the resulting template provides better alignment of a separate set of test data than single-subject templates. It demonstrates that between 30 and 50 subjects are required to generate a stable iterative template. It also explores the way in which fold variants in registration templates affect the quality of registration. Finally, it shows that hemisphere-specific group registration templates systematically better register subject hemispheres of the same laterality, underlining the need to develop templates free of hemisphere bias for asymmetry analysis.

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YNIMG Journal 2007 Journal Article

Evidence of slow maturation of the superior longitudinal fasciculus in early childhood by diffusion tensor imaging

  • Jiangyang Zhang
  • Alan Evans
  • Laurent Hermoye
  • Seung-Koo Lee
  • Setsu Wakana
  • Weihong Zhang
  • Pamela Donohue
  • Michael I. Miller

While the majority of axonal organization is established by birth in mammalian brains, axonal wiring and pruning processes, as well as myelination, are known to extend to the postnatal periods, where environmental stimuli often play a major role. Normal axonal and myelin development of individual white matter tracts of human in this period is poorly understood and may have a major role in cognitive development of human. In this study, we applied diffusion tensor imaging and normalization-based population analyses to 44 preteen children and 30 adult images. We observed highly significant changes of fiber orientations at regions that correspond to the superior longitudinal fasciculus during the first 5 years. The result is attributed to slow axonal and/or myelin maturation of this tract, which is believed to be involved in language functions.

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YNIMG Journal 2004 Journal Article

Fast and robust parameter estimation for statistical partial volume models in brain MRI

  • Jussi Tohka
  • Alex Zijdenbos
  • Alan Evans

Due to the finite spatial resolution of imaging devices, a single voxel in a medical image may be composed of mixture of tissue types, an effect known as partial volume effect (PVE). Partial volume estimation, that is, the estimation of the amount of each tissue type within each voxel, has received considerable interest in recent years. Much of this work has been focused on the mixel model, a statistical model of PVE. We propose a novel trimmed minimum covariance determinant (TMCD) method for the estimation of the parameters of the mixel PVE model. In this method, each voxel is first labeled according to the most dominant tissue type. Voxels that are prone to PVE are removed from this labeled set, following which robust location estimators with high breakdown points are used to estimate the mean and the covariance of each tissue class. Comparisons between different methods for parameter estimation based on classified images as well as expectation–maximization-like (EM-like) procedure for simultaneous parameter and partial volume estimation are reported. The robust estimators based on a pruned classification as presented here are shown to perform well even if the initial classification is of poor quality. The results obtained are comparable to those obtained using the EM-like procedure, but require considerably less computation time. Segmentation results of real data based on partial volume estimation are also reported. In addition to considering the parameter estimation problem, we discuss differences between different approximations to the complete mixel model. In summary, the proposed TMCD method allows for the accurate, robust, and efficient estimation of partial volume model parameters, which is crucial to a variety of brain MRI data analysis procedures such as the accurate estimation of tissue volumes and the accurate delineation of the cortical surface.

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YNIMG Journal 2001 Journal Article

Three-Dimensional Probabilistic Atlas of the Human Orbitofrontal Sulci in Standardized Stereotaxic Space

  • Mary M. Chiavaras
  • Georges LeGoualher
  • Alan Evans
  • Michael Petrides

A quantitative analysis of the variability of human orbitofrontal anatomical landmarks is required if one is to describe properly the location of functional or structural changes within this brain region. The present study investigated the orbitofrontal sulci in 100 normal adult human cerebral hemispheres using magnetic resonance images that were transformed into the standardized proportional stereotaxic space most commonly used, that of Talairach and Tournoux (1988). Four orbitofrontal sulci were identified and marked on each hemisphere: the olfactory, the medial, the lateral, and the transverse orbital sulci. Probability maps were then constructed for each sulcus. These maps provide a statistical description of the variability of the location of each orbitofrontal sulcus within the three-dimensional coordinate system of Talairach and Tournoux (1988). These probability maps may be directly compared with any image transformed into the same standardized space, providing a valuable tool for identifying and describing the location of functional or structural changes in the orbitofrontal region of the human brain.

Details DOI

YNIMG Journal 1999 Journal Article

Three-Dimensional MRI Atlas of the Human Cerebellum in Proportional Stereotaxic Space

  • Jeremy D. Schmahmann
  • Julien Doyon
  • David McDonald
  • Colin Holmes
  • Karyne Lavoie
  • Amy S. Hurwitz
  • Noor Kabani
  • Arthur Toga

We have prepared an atlas of the human cerebellum using high-resolution magnetic resonance-derived images warped into the proportional stereotaxic space of Talairach and Tournoux. Software that permits simultaneous visualization of the three cardinal planes facilitated the identification of the cerebellar fissures and lobules. A revised version of the Larsell nomenclature facilitated a simple description of the cerebellum. This atlas derived from a single individual was instrumental in addressing longstanding debates about the gross morphologic organization of the cerebellum. It may serve as the template for more precise identification of cerebellar topography in functional imaging studies in normals, for investigating clinical–pathologic correlations in patients, and for the development of future probabilistic maps of the human cerebellum.

Details DOI

YNIMG Journal 1996 Journal Article

Imaging Motor-to-Sensory Discharges in the Human Brain: An Experimental Tool for the Assessment of Functional Connectivity

  • Tomáš Paus
  • Sean Marrett
  • Keith Worsley
  • Alan Evans

We present a new approach to studying functional connectivity in the human brain. This approach is based on the observation that when we engage in motor activity, a discharge corollary to the motor command is sent from motor to sensory structures. Thus, as long as movement-related sensory input is either prevented or masked, modulation of neuronal activity in sensory structures would indicate the presence of functional connectivity between the motor and the sensory regions. Using positron emission tomography, such a central interaction between motor and sensory regions can be assessed by measuring regional changes in cerebral blood flow (CBF) in sensory regions. In this paper, we describe the experimental design and the results of two studies of corollary discharges, namely those generated during eye movements and speech. In these studies, a graded approach was used to establish the relationship between the number of eye movements or utterances and CBF in visual or auditory regions, respectively. Significant covariations between the number of movements and CBF in sensory regions were found, thus indicating the presence of functional connectivity between motor and sensory regions. In addition, interregional CBF covariations were computed and the effect of removing the intersubject variance on these covariations was evaluated. The corollary-discharge-based approach to studying functional connectivity is discussed in the context of more traditional computational approaches to network analysis in functional brain imaging.

Details DOI
v2026.09.13