RESEARCH Dynamic connectivity and the effects of maturation in youth with attention deficit hyperactivity disorder Nina de Lacy 1 and Vince D. Calhoun 2,3 1 Department of Psychiatry and Behavioral Science, University of Washington, seattle, Washington, USA 2The Mind Research Network, Albuquerque, NM, USA 3Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA a n o p e n a c

REVIEW Disentangling causal webs in the brain using functional magnetic resonance imaging: A review of current approaches Natalia Z. Bielczyk 1,2, Sebo Uithol 1,3, Tim van Mourik 1,2, Paul Anderson 1,4, Jeffrey C. Glennon1,2, and Jan K. Buitelaar 1,2 1Donders Institute for Brain, Cognition and Behavior, Nimega, the Netherlands 2Department of Cognitive Neuroscience, Radboud University Nijmegen Medical Centre, Nimega, the Netherlands 3Bernstein Centre for Computational

METHODS Estimating feedforward and feedback effective connections from fMRI time series: Assessments of statistical methods Ruben Sanchez-Romero 1, Joseph D. Ramsey1, Kun Zhang1, Madelyn R. k. Glymour1, Biwei Huang1, and Clark Glymour1 1Department of Philosophy, Carnegie Mellon University, pittsburgh, Pensilvania, USA Keywords: resonancia magnética funcional, Effective connectivity, Feedback networks, Directed networks, Graphical causal models a n o p e n a c c e s s j

RESEARCH Accelerated intermittent theta burst stimulation in major depression induces decreases in modularity: A connectome analysis Karen Caeyenberghs1, Romain Duprat2, Alexander Leemans3, Hadi Hosseini4, Peter H. Wilson1, Debby Klooster5,6, and Chris Baeken7 1School of Psychology, Facultad de Ciencias de la Salud, Universidad Católica Australiana, Sídney, Australia 2Department of Psychiatry and Medical Psychology, Ghent University, Ghent, Belgium 3Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands 4Department

RESEARCH Time-evolving dynamics in brain networks forecast responses to health messaging Nicole Cooper 1,2 , Javier O. Garcia , Steven H. Tompson 1 , and Jean M. Vettel Emily B. Falk 2,3 , Matthew B. O'Donnell 1 , 2,3 2,3,4 1Annenberg School for Communication, Universidad de Pennsylvania, Filadelfia, Pensilvania, USA 2U.S. Army Research Laboratory, Aberdeen Proving Ground, Aberdeen, Maryland, USA 3Department of Bioengineering, Universidad de

REVIEW Graph theory approaches to functional network organization in brain disorders: A critique for a brave new small-world Michael N. Hallquist 1,2 and Frank G. Hillary 1,2,3 1Department of Psychology, Universidad Estatal de Pensilvania, University Park, Pensilvania, USA 2Social Life and Engineering Sciences Imaging Center, University Park, Pensilvania, USA Department of Neurology, Hershey Medical Center, Hershey, Pensilvania, EE.UU 3 a n o p e n a

RESEARCH Time-varying whole-brain functional network connectivity coupled to task engagement 1,2 Hua Xie Vince D. Calhoun , Javier Gonzalez-Castillo , Gang Chen 3,4 6 , daniel a. Handwerker 3,4 , Eswar Damaraju , Xiangyu Liu , Peter A. Bandettini , 1 , and Sunanda Mitra 1 2 2 2,5 1Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas, USA 2Section on Functional Imaging

RESEARCH Cooperating yet distinct brain networks engaged during naturalistic paradigms: A meta-analysis of functional MRI results Katherine L. Bottenhorn 1 Simon B. Eickhoff 3,4 1 , Jessica S. Flannery 1 , Emily R. Boeving , miguel c.. Riedel 2 , , Matthew T. Sutherland , and Angela R. Laird 1 2 1Department of Psychology, Florida International University, Miami, Florida, USA 2Department of Physics, Florida International

FUNCIÓN DE ENFOQUE: Bridging Scales and Levels Mapping hybrid functional-structural connectivity traits in the human connectome Enrico Amico 1,2 and Joaquín Goñi 1,2,3 1School of Industrial Engineering, Purdue University, West-Lafayette, EN, USA 2Purdue Institute for Integrative Neuroscience, Purdue University, West-Lafayette, EN, USA 3Weldon School of Biomedical Engineering, Purdue University, West-Lafayette, EN, USA Keywords: Conectividad cerebral, Human connectome, Structural/functional patterns, Task-sensitive connectivity a n o p e

FUNCIÓN DE ENFOQUE: New Trends in Connectomics Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease 1 Shelli R. Kesler , Paul Acton 2 , Vikram Rao 1 2 , and William J. Ray 1Department of Neuro-oncology, University of Texas MD Anderson Cancer Center, houston, Texas, USA 2Neurodegeneration Consortium, Institute for Applied Cancer Science, University of Texas MD Anderson Cancer Center,

RESEARCH Regions of Interest as nodes of dynamic functional brain networks Elisa Ryyppö 1 , Enrico Glerean 2,3 , Elvira Brattico 4 , Jari Saramäki 1 , and Onerva Korhonen 1,3 1Departamento de Ciencias de la Computación, School of Science, Aalto University, Espoo, Finland 2Turku PET Centre, University of Turku, Turku, Finland 3Department of Neuroscience and Biomedical Engineering, School of Science, Aalto University, Espoo, Finland 4Center for

RESEARCH Variability and stability of large-scale cortical oscillation patterns Roy Cox, Anna C. Schapiro, and Robert Stickgold Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston MA, USA Keywords: EEG, Oscillations, Networks, Conectividad funcional, Individual differences ABSTRACT Individual differences in brain organization exist at many spatiotemporal scales and underlie the diversity of human thought and behavior. Oscillatory neural activity is crucial

RESEARCH Resting-state brain network features associated with short-term skill learning ability in humans and the influence of N-methyl-D-aspartate receptor antagonism 1 Zhenxiang Zang 1 , Lena S. Geiger , Urs Braun , Hengyi Cao , Maria Zangl 1 1 1 Carolin Moessnang Alexander Moscicki 3 , Matthias Ruf , Janine Reis 1 1 , Emanuel Schwarz 1 , Luanna Dixson , Janina I. Schweiger 1

FUNCIÓN DE ENFOQUE: Bridging Scales and Levels NeuroCave: A web-based immersive visualization platform for exploring connectome datasets Johnson J. GRAMO. Keiriz Alex D. Leow 1,4 1,3,4 , Liang Zhan , Olusola Ajilore 2,4 3,4 , , and Angus G. Forbes 1,4,5 1Departamento de Ciencias de la Computación, University of Illinois at Chicago, chicago, IL, USA 2Department of Engineering and Technology, University of Wisconsin–Stout Menomonie, Wisconsin, USA 3Department of

FUNCIÓN DE ENFOQUE: New Trends in Connectomics Using network analysis to localize the epileptogenic zone from invasive EEG recordings in intractable focal epilepsy Adam Li , Bhaskar Chennuri 1 9 William Stacey 7 , Robert Norton 1 , Sandya Subramanian 8 , Austin Jordan 1 1 1 , Robert Yaffe , Jennifer J. Haagensen Shubhi Agrawal 3 3 , William S. Anderson Nathan Crone 1 Sridevi

RESEARCH Catecholaminergic manipulation alters dynamic network topology across cognitive states James M. Brillar 1,2 Sander Nieuwenhuis , Ruud L. van den Brink 3,4 1 , and Russell A. Poldrack 3,4 5 , Dennis Hernaus , 1Department of Psychology, Universidad Stanford, stanford, California, USA 2Brain and Mind Centre, The University of Sydney, Sídney, NSW, Australia 3Institute of Psychology, Universidad de Leiden, Leiden, The Netherlands 4Leiden Institute for

FUNCIÓN DE ENFOQUE: New Trends in Connectomics Putting the “dynamic” back into dynamic functional connectivity Stewart Heitmann 1 and Michael Breakspear 1,2 1QIMR Berghofer, Brisbane, Australia 2Metro North Mental Health Service, Brisbane, Australia Keywords: Dynamic functional connectivity, Nonlinear dynamics, Metastability, Multistability a n o p e n a c c e s s j o u r n a l ABSTRACT The study of fluctuations in

FUNCIÓN DE ENFOQUE: New Trends in Connectomics Estimating the impact of structural directionality: How reliable are undirected connectomes? Penelope Kale 1,2 3 , Andrew Zalesky , and Leonardo L. Perdido 1,2 1QIMR Berghofer Medical Research Institute, Australia 2University of Queensland, Australia 3Melbourne Neuropsychiatry Centre and Department of Biomedical Engineering, Universidad de Melbourne, Australia Keywords: Directionality, Connectome, Structural connectivity, Graph theory, Hubs, False positives a n o