Outputs (14)

Toward next-generation primate neuroscience: A collaboration-based strategic plan for integrative neuroimaging (2021)
Journal Article
PRIMatE Data and Resource Exchange (PRIME-DRE) Global Collaboration Workshop and Consortium, Milham, M., Petkov, C., Belin, P., Ben Hamed, S., Evrard, H., Fair, D., Fox, A., Froudist-Walsh, S., Hayashi, T., Kastner, S., Klink, C., Majka, P., Mars, R., Messinger, A., Poirier, C., Schroeder, C., Shmuel, A., Silva, A. C., Vanduffel, W., …Zuo, Z. (2022). Toward next-generation primate neuroscience: A collaboration-based strategic plan for integrative neuroimaging. Neuron, 110(1), 16-20. https://doi.org/10.1016/j.neuron.2021.10.015

Open science initiatives are creating opportunities to increase research coordination and impact in nonhuman primate (NHP) imaging. The PRIMatE Data and Resource Exchange community recently developed a collaboration-based strategic plan to advance NH... Read More about Toward next-generation primate neuroscience: A collaboration-based strategic plan for integrative neuroimaging.

Sulcal characteristics patterns and gyrification gradient at different stages of Anorexia Nervosa: a structural MRI evaluation (2021)
Journal Article
Collantoni, E., Madan, C. R., Meregalli, V., Meneguzzo, P., Marzola, E., Panero, M., D'Agata, F., Abbate-Daga, G., Tenconi, E., Manara, R., & Favaro, A. (2021). Sulcal characteristics patterns and gyrification gradient at different stages of Anorexia Nervosa: a structural MRI evaluation. Psychiatry Research: Neuroimaging, 316, Article 111350. https://doi.org/10.1016/j.pscychresns.2021.111350

Previous research evidenced alterations of different cortical parameters in patients with acute Anorexia Nervosa (AN), but no study to date investigated the morphology of individual sulci and their relationship with other structural indices. Our stud... Read More about Sulcal characteristics patterns and gyrification gradient at different stages of Anorexia Nervosa: a structural MRI evaluation.

T2 heterogeneity as an in vivo marker of microstructural integrity in medial temporal lobe subfields in ageing and mild cognitive impairment (2021)
Journal Article
Wearn, A. R., Nurdal, V., Saunders-Jennings, E., Knight, M. J., Madan, C. R., Fallon, S.-J., Isotalus, H. K., Kauppinen, R. A., & Coulthard, E. J. (2021). T2 heterogeneity as an in vivo marker of microstructural integrity in medial temporal lobe subfields in ageing and mild cognitive impairment. NeuroImage, 238, Article 118214. https://doi.org/10.1016/j.neuroimage.2021.118214

A better understanding of early brain changes that precede loss of independence in diseases like Alzheimer's disease (AD) is critical for development of disease-modifying therapies. Quantitative MRI, such as T2 relaxometry, can identify microstructur... Read More about T2 heterogeneity as an in vivo marker of microstructural integrity in medial temporal lobe subfields in ageing and mild cognitive impairment.

Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality (2021)
Journal Article
Madan, C. R. (2021). Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality. Aging Brain, 1, Article 100016. https://doi.org/10.1016/j.nbas.2021.100016

Gray matter volume for cortical, subcortical, and ventricles all vary with age. However, these volumetric changes do not happen on their own, there are also age-related changes in cortical folding and other measures of brain shape. Fractal dimensiona... Read More about Beyond volumetry: Considering age-related changes in brain shape complexity using fractal dimensionality.

Scan Once, Analyse Many: Using large open-access neuroimaging datasets to understand the brain (2021)
Journal Article
Madan, C. R. (2022). Scan Once, Analyse Many: Using large open-access neuroimaging datasets to understand the brain. Neuroinformatics, 20, 109-137. https://doi.org/10.1007/s12021-021-09519-6

We are now in a time of readily available brain imaging data. Not only are researchers now sharing data more than ever before, but additionally large-scale data collecting initiatives are underway with the vision that many future researchers will use... Read More about Scan Once, Analyse Many: Using large open-access neuroimaging datasets to understand the brain.

Investigating the effects of healthy cognitive aging on brain functional connectivity using 4.7 T resting-state functional Magnetic Resonance Imaging (2021)
Journal Article
Hrybouski, S., Cribben, I., McGonigle, J., Olsen, F., Carter, R., Seres, P., Madan, C. R., & Malykhin, N. V. (2021). Investigating the effects of healthy cognitive aging on brain functional connectivity using 4.7 T resting-state functional Magnetic Resonance Imaging. Brain Structure and Function, 226(4), 1067-1098. https://doi.org/10.1007/s00429-021-02226-7

Functional changes in the aging human brain have been previously reported using functional magnetic resonance imaging (fMRI). Earlier resting-state fMRI studies revealed an age-associated weakening of intra-system functional connectivity (FC) and age... Read More about Investigating the effects of healthy cognitive aging on brain functional connectivity using 4.7 T resting-state functional Magnetic Resonance Imaging.

Age‐related decrements in cortical gyrification: Evidence from an accelerated longitudinal dataset (2020)
Journal Article
Madan, C. R. (2021). Age‐related decrements in cortical gyrification: Evidence from an accelerated longitudinal dataset. European Journal of Neuroscience, 53(5), 1661-1671. https://doi.org/10.1111/ejn.15039

Cortical gyrification has been found to decrease due to aging, but thus far this has only been examined in cross‐sectional samples. Interestingly, the topography of these age‐related differences in gyrification follows a distinct gradient along the c... Read More about Age‐related decrements in cortical gyrification: Evidence from an accelerated longitudinal dataset.

Structural complexity is negatively associated with brain activity: a novel multimodal test of compensation theories of aging (2020)
Journal Article
McDonough, I. M., & Madan, C. R. (2021). Structural complexity is negatively associated with brain activity: a novel multimodal test of compensation theories of aging. Neurobiology of Aging, 98, 185-196. https://doi.org/10.1016/j.neurobiolaging.2020.10.023

Fractal dimensionality (FD) measures the complexity within the folds and ridges of cortical and subcortical structures. We tested the degree that FD might provide a new perspective on the atrophy-compensation hypothesis: age or disease-related atroph... Read More about Structural complexity is negatively associated with brain activity: a novel multimodal test of compensation theories of aging.

Age-related differences in myeloarchitecture measured at 7 T (2020)
Journal Article
Carradus, A. J., Mougin, O., Hunt, B. A., Tewarie, P. K., Geades, N., Morris, P. G., Brookes, M. J., Gowland, P. A., & Madan, C. R. (2020). Age-related differences in myeloarchitecture measured at 7 T. Neurobiology of Aging, 96, 246-254. https://doi.org/10.1016/j.neurobiolaging.2020.08.009

We have used the magnetisation transfer (MT) MRI measure as a primary measure of myelination in both the grey matter (GM) of the 78 cortical automated anatomical labelling (AAL) regions of the brain, and the underlying white matter in each region, in... Read More about Age-related differences in myeloarchitecture measured at 7 T.

Cortical Complexity in Anorexia Nervosa: A Fractal Dimension Analysis (2020)
Journal Article
Collantoni, E., Madan, C. R., Meneguzzo, P., Chiappini, I., Tenconi, E., Manara, R., & Favaro, A. (2020). Cortical Complexity in Anorexia Nervosa: A Fractal Dimension Analysis. Journal of Clinical Medicine, 9(3), 833. https://doi.org/10.3390/jcm9030833

Fractal Dimension (FD) has shown to be a promising means to describe the morphology of cortical structures across different neurologic and psychiatric conditions, displaying a good sensitivity in capturing atrophy processes. In this study, we aimed a... Read More about Cortical Complexity in Anorexia Nervosa: A Fractal Dimension Analysis.

Robust estimation of sulcal morphology (2019)
Journal Article
Madan, C. R. (2019). Robust estimation of sulcal morphology. Brain Informatics, 6, Article 5. https://doi.org/10.1186/s40708-019-0098-1

While it is well established that cortical morphology differs in relation to a variety of inter-individual factors, it is often characterized using estimates of volume, thickness, surface area, or gyrification. Here we developed a computational appro... Read More about Robust estimation of sulcal morphology.

Data visualization for inference in tomographic brain imaging (2019)
Journal Article
Pernet, C. R., & Madan, C. R. (2020). Data visualization for inference in tomographic brain imaging. European Journal of Neuroscience, 51(3), 695-705. https://doi.org/10.1111/ejn.14430

Tomographic brain imaging has a rich iconography. Whilst figures are prepared for scientific communication (i.e., directed to other researchers) they also often end-up on magazine and journal covers (i.e., directed to a lay audience). Scientific figu... Read More about Data visualization for inference in tomographic brain imaging.

Predicting age from cortical structure across the lifespan (2018)
Journal Article
Madan, C. R., & Kensinger, E. A. (2018). Predicting age from cortical structure across the lifespan. European Journal of Neuroscience, 47(5), 399-416. https://doi.org/10.1111/ejn.13835

Despite inter-individual differences in cortical structure, cross-sectional and longitudinal studies have demonstrated a large degree of population-level consistency in age-related differences in brain morphology. The present study assessed how accur... Read More about Predicting age from cortical structure across the lifespan.

Shape-related characteristics of age-related differences in subcortical structures (2018)
Journal Article
Madan, C. R. (2019). Shape-related characteristics of age-related differences in subcortical structures. Aging and Mental Health, 23(7), 800-810. https://doi.org/10.1080/13607863.2017.1421613

OBJECTIVES: With an increasing aging population, it is important to gain a better understanding of biological markers of aging. Subcortical volume is known to differ with age; additionally considering shape-related characteristics may provide a bette... Read More about Shape-related characteristics of age-related differences in subcortical structures.