RT @areejitsamal: Check out our new preprint on discrete Ricci curvatures capturing age-related changes in human brain functional connectiv….

RT @ppierzc: Very happy to share my first first-author paper. We show that popular multi-hypothesis 3D human pose estimation metrics favor….

RT @KonstantinWille: New paper out now in @Nature🥳. We use CNNs, population recording of mouse V1 & pharmacology to….

RT @sinzlab: Are you interested in understanding how the brain processes what we see? Do you want to build a predictive model and compare i….

GitHub repository of the brain functional networks constructed from fMRI images of ABIDE I dataset: Protocol video on fMRI preprocessing using CONN toolbox: (8/8).

FRC identified 18 clinically relevant regions out of which 5 were novel and not identified by CC, suggesting that FRC might be able to capture atypical functional connectivity of relevant brain regions in ASD that are not identified by other standard network measures. (7/8)

Further, we performed a literature search on PubMed and determined the overlap between those brain regions showing differences in FRC and clustering coefficient (CC) those whose non-invasive stimulation using TMS or tDCS, resulted in improvement of ASD-related symptoms. (6/8).

FRC identified 83 regions in the brain that are significantly different between ASD and TD. The regions were concentrated in the default, somatomotor and salient ventral attention resting state networks. (5/8)

Upon constructing brain functional networks from fMRI images of 395 subjects with ASD and 425 typically developing (TD) subjects with varying sparsity from 2 - 50%, we identify that, on the whole brain level, FRC and ORC are significantly lower in ASD compared to TD. (4/8)

First study to use two notions of graph curvatures namely Forman-Ricci (FRC) and Ollivier-Ricci (ORC) to perform brain-wide and region-specific analysis in ASD and to use non-invasive brain stimulation (NIBS) literature to validate the results of a network-based study. (3/8).

Some highlights of our work that is represented in the following graphical abstract are: (2/8)

I am excited to share that my research with @yydv_98, supervised by @areejitsamal, in collaboration with @nitinwilliams on using graph curvatures on brain functional networks in autism spectrum disorder is published in Scientific Reports(@SciReports) (1/8).

Preprint of our latest work extending the utility of Graph Ricci curvatures to study resting state functional connectivity networks in ASD is out!.