Michael W. Cole

ORCID: 0000-0003-4329-438X
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About
Contact & Profiles
Research Areas
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Neural and Behavioral Psychology Studies
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Mental Health Research Topics
  • Memory and Neural Mechanisms
  • Visual perception and processing mechanisms
  • Neuroscience, Education and Cognitive Function
  • Cognitive Science and Mapping
  • Neural Networks and Applications
  • Dementia and Cognitive Impairment Research
  • Face Recognition and Perception
  • Motor Control and Adaptation
  • Heart Rate Variability and Autonomic Control
  • Schizophrenia research and treatment
  • Cognitive Abilities and Testing
  • Mind wandering and attention
  • Advanced Graph Neural Networks
  • Cognitive Functions and Memory
  • Cognitive and developmental aspects of mathematical skills
  • Neurological disorders and treatments
  • Advanced Memory and Neural Computing
  • Cognitive Science and Education Research

Rutgers, The State University of New Jersey
2016-2025

Center for Neurosciences
2016-2025

Rutgers Sexual and Reproductive Health and Rights
2011-2025

Rütgers (Germany)
2011-2023

Allen Institute for Brain Science
2019

Icahn School of Medicine at Mount Sinai
2019

Washington University in St. Louis
2009-2017

Center for the Neural Basis of Cognition
2006-2016

University of Pittsburgh
2006-2016

University of Ljubljana
2014

Control of thought and behavior is fundamental to human intelligence. Evidence suggests a frontoparietal brain network implements such cognitive control across diverse contexts. We identify mechanism--global connectivity--by which components this might coordinate other networks. A lateral prefrontal cortex (LPFC) region's activity was found predict performance in high demand working memory task also exhibit global connectivity. Critically, connectivity LPFC region, involving connections both...

10.1523/jneurosci.0536-12.2012 article EN Journal of Neuroscience 2012-06-27

Schizophrenia is a devastating neuropsychiatric syndrome associated with distributed brain dysconnectivity that may involve large-scale thalamo-cortical systems. Incomplete characterization of thalamic connectivity in schizophrenia limits our understanding its relationship to symptoms and diagnoses shared clinical presentation, such as bipolar illness, which exist on spectrum. Using resting-state functional magnetic resonance imaging, we characterized 90 patients versus matched controls via:...

10.1093/cercor/bht165 article EN public-domain Cerebral Cortex 2013-07-03

Significance The frontoparietal control network (FPCN) contributes to executive control, the ability deliberately guide action based on goals. While FPCN is often viewed as a unitary domain general system, it possible that contains fine-grained internal organization, with separate zones involved in different types of control. Here, we use graph theory and meta-analytic functional profiling demonstrate composed two subsystems: A connected default regulation introspective processes, whereas B...

10.1073/pnas.1715766115 article EN Proceedings of the National Academy of Sciences 2018-01-30

Significance This study identified elevated global brain signal variability in schizophrenia, but not bipolar illness. was related to schizophrenia symptoms. A commonly used analytic procedure neuroimaging, regression, attenuated clinical effects and altered inferences. Furthermore, local voxel-wise variance increased independent of regression. Finally, neurobiologically grounded computational modeling suggests a putative mechanism, whereby overall connection strength may underlie observed...

10.1073/pnas.1405289111 article EN Proceedings of the National Academy of Sciences 2014-05-05

The human brain is able to exceed modern computers on multiple computational demands (e.g., language, planning) using a small fraction of the energy. mystery how can be so efficient compounded by recent evidence that all regions are constantly active as they interact in so-called resting-state networks (RSNs). To investigate brain9s ability process complex cognitive efficiently, we compared functional connectivity (FC) during rest and highly distinct tasks. We found previously RSNs present...

10.1523/jneurosci.0358-16.2016 article EN Journal of Neuroscience 2016-08-17

Resting-state network connectivity has been associated with a variety of cognitive abilities, yet it remains unclear how these properties might contribute to the neurocognitive computations underlying abilities. We developed new approach-information transfer mapping-to test hypothesis that resting-state functional topology describes computational mappings between brain regions carry task information. Here, we report diverse, task-rule information in distributed can be predicted based on...

10.1038/s41467-017-01000-w article EN cc-by Nature Communications 2017-10-12

One of the most remarkable features human brain is its ability to adapt rapidly and efficiently external task demands. Novel non-routine tasks, for example, are implemented faster than structural connections can be formed. The neural underpinnings these dynamics far from understood. Here we develop apply novel methods in network science quantify how patterns functional connectivity between regions reconfigure as subjects perform 64 different tasks. By applying dynamic community detection...

10.1371/journal.pcbi.1004533 article EN cc-by PLoS Computational Biology 2015-12-02

Resting-state functional connectivity has provided substantial insight into intrinsic brain network organization, yet the importance of task-related change from that organization remains unclear. Indeed, such changes are known to be small, suggesting they may have only minimal relevance. Alternatively, despite their small amplitude, these essential for ability human adaptively alter its functionality via rapid in inter-regional relationships. We used activity flow mapping-an approach...

10.1523/jneurosci.1713-20.2021 article EN cc-by-nc-sa Journal of Neuroscience 2021-02-04

Task-free brain activity affords unique insight into the functional structure of network dynamics and has been used to identify neural markers individual differences. In this work, we present an algorithmic optimization framework that directly inverts parameterizes brain-wide dynamical-systems models involving hundreds interacting populations, from single-subject M/EEG time-series recordings. This technique provides a powerful neurocomputational tool for interrogating mechanisms underlying...

10.1073/pnas.2409577121 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2025-01-17

Strong evidence implicates prefrontal cortex (PFC) as a major source of functional impairment in severe mental illness such schizophrenia. Numerous schizophrenia studies report deficits PFC structure, activation, and connectivity patients with chronic illness, suggesting that deficient occurs this disorder. However, the patterns during onset its longitudinal progression remain uncharacterized. Emerging suggests early-course involves increased glutamate, which might elevate connectivity. To...

10.1523/jneurosci.2310-14.2015 article EN cc-by-nc-sa Journal of Neuroscience 2015-01-07
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