Publications by Martina Scolamiero

A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes

Kathryn Hess Bellwald, Lida Kanari, Martina Scolamiero

Environmental cues influence the highly dynamic morphology of microglia. Strategies to characterize these changes usually involve user-selected morphometric features, which preclude the identification of a spectrum of context-dependent morphological phenot ...

NATURE PORTFOLIO2022

Topology predicts long-term functional outcome in early psychosis

Kathryn Hess Bellwald, Martina Scolamiero, Kim Do

Early intervention in psychosis is crucial to improving patient response to treatment and the functional deficits that critically affect their long-term quality of life. Stratification tools are needed to personalize functional deficit prevention strategie ...

2021

Topological Analysis Enables Prediction Of Functional And Social Outcomes In Early Psychosis

Kathryn Hess Bellwald, Mehdi Gholam, Martina Scolamiero, Kim Do

OXFORD UNIV PRESS2019

A Topological Representation of Branching Neuronal Morphologies

Kathryn Hess Bellwald, Henry Markram, Ran Levi, Martina Scolamiero

2018

Combinatorial presentation of multidimensional persistent homology

Martina Scolamiero

A multifiltration is a functor indexed by Nr that maps any morphism to a monomorphism. The goal of this paper is to describe in an explicit and combinatorial way the natural Nr-graded R[x(1),...x(r)]-module structure on the homology of a multifiltration of ...

Elsevier2017

Multidimensional Persistence and Noise

Martina Scolamiero

In this paper, we study multidimensional persistence modules (Carlsson and Zomorodian in Discrete Comput Geom 42(1):71-93, 2009; Lesnick in Found Comput Math 15(3):613-650, 2015) via what we call tame functors and noise systems. A noise system leads to a p ...

Springer2017

Topological Analyses Of Metabolomic Data To Identify Markers Of Early Psychosis And Disease Biotypes

Kathryn Hess Bellwald, Martina Scolamiero, Kim Do

Oxford Univ Press2017

Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function

Kathryn Hess Bellwald, Henry Markram, Rodrigo de Campos Perin, Michael Reimann, Giuseppe Chindemi, Ran Levi, Max Christian Nolte, Pawel Tadeusz Dlotko, Katharine Felicity Turner, Martina Scolamiero

The lack of a formal link between neural network structure and its emergent function has hampered our understanding of how the brain processes information. We have now come closer to describing such a link by taking the direction of synaptic transmission i ...

Frontiers Media Sa2017