Authors: Shivakumar Viswanathan, Matthew Cieslak, Scott T. Grafton
arXiv
Information mapping is a popular application of Multivoxel Pattern Analysis (MVPA) to fMRI. Information maps are constructed using the so called searchlight method, where the spherical multivoxel neig...
Authors: Farzad Fathizadeh, Ekaterina Mitricheva, Rui Kimura, Nikos Logothetis, Hamid Reza Noori
arXiv
Information processing in the brain is conducted by a concerted action of multiple neural populations. Gaining insights in the organization and dynamics of such populations can best be studied with br...
Authors: Eve Reynaud, Anne Forhan, Barbara Heude, Marie-Aline Charles, Sabine Plancoulaine
arXiv
Objective: To study the longitudinal associations between inattention/hyperactivity symptoms and night-waking in preschool-years, in light of their joint evolution.Study design: Within the French birt...
Authors: Mohsen Joneidi
arXiv
Analysis of data from functional magnetic resonance imaging (fMRI) results in constructing functional brain networks. Principal component analysis (PCA) and independent component analysis (ICA) are wi...
Authors: Qi Zhao, Lingli Zhang, Chun Shen, Jie Zhang, Jianfeng Feng
arXiv
Most studies indicate that intelligence (g) is positively correlated with cortical thickness. However, the interindividual variability of cortical thickness has not been taken into account. In this st...
Authors: Milena Cukic Radenkovic
arXiv
In this paper, we aimed at reviewing several different approaches present today in the search for more accurate diagnostic and treatment management in mental healthcare. Our focus is on mood disorders...
Authors: Abdulahad Bayraktar, Tugba Onal-Suzek, Baris Ethem Suzek, Omur Baysal
arXiv
Neurodegenerative diseases are characterized as the progressive loss of neural cells, e.g. neurons, glial cells. Ageing, monogenic variations, viral infections, and many other factors are determined a...
Authors: Sourish Chakravarty, Zachary D. Threlkeld, Yelena G. Bodien, Brian L. Edlow, Emery N. Brown
arXiv
Dynamic functional connectivity (DFC) analysis involves measuring correlated neural activity over time across multiple brain regions. Significant regional correlations among neural signals, such as th...
Authors: Oliver M. Cliff, Leonardo Novelli, Ben D. Fulcher, James M. Shine, Joseph T. Lizier
arXiv
Inferring linear dependence between time series is central to our understanding of natural and artificial systems. Unfortunately, the hypothesis tests that are used to determine statistically signific...
Authors: Sebastian Weichwald, Jonas Peters
arXiv
While probabilistic models describe the dependence structure between observed variables, causal models go one step further: they predict, for example, how cognitive functions are affected by external...
Authors: Tong Shen, Gyorgy Lur, Xiangmin Xu, Zhaoxia Yu
arXiv
With the increasing popularity of calcium imaging data in neuroscience research, methods for analyzing calcium trace data are critical to address various questions. The observed calcium traces are eit...
Authors: Peter Wills, Francois G. Meyer
arXiv
Comparison of graph structure is a ubiquitous task in data analysis and machine learning, with diverse applications in fields such as neuroscience, cyber security, social network analysis, and bioinfo...
Authors: Ming Bo Cai, Michael Shvartsman, Anqi Wu, Hejia Zhang, Xia Zhu
arXiv
With the wide adoption of functional magnetic resonance imaging (fMRI) by cognitive neuroscience researchers, large volumes of brain imaging data have been accumulated in recent years. Aggregating the...
Authors: Ricardo Pio Monti, Alex Gibberd, Sandipan Roy, Matt Nunes, Romy Lorenz, Robert Leech, Takeshi Ogawa, Motoaki Kawanabe, Aapo Hyvarinen
arXiv
Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we seek to build models...
Authors: Daniel Strohmeier, Yousra Bekhti, Jens Haueisen, Alexandre Gramfort
arXiv
Source imaging based on magnetoencephalography (MEG) and electroencephalography (EEG) allows for the non-invasive analysis of brain activity with high temporal and good spatial resolution. As the bioe...