Neuroscience, Brain mapping, Cognition, Traumatic brain injury and Functional connectivity are his primary areas of study. The concepts of his Neuroscience study are interwoven with issues in Autism, Dissociative identity disorder and Anxiety. The Cognition study combines topics in areas such as Multiple sclerosis, Functional magnetic resonance imaging and Functional imaging.
His Traumatic brain injury study combines topics in areas such as Physical medicine and rehabilitation and Default mode network. His biological study spans a wide range of topics, including Functional neuroimaging and Metabolic Stress. His studies deal with areas such as Hyperconnectivity, Neuroplasticity and Nerve net as well as Metabolic Stress.
Frank G. Hillary spends much of his time researching Traumatic brain injury, Neuroscience, Functional magnetic resonance imaging, Cognition and Working memory. His Traumatic brain injury research includes themes of Physical medicine and rehabilitation, Neuropsychology, Neuroimaging, Clinical psychology and Default mode network. Frank G. Hillary combines topics linked to Multiple sclerosis with his work on Neuroscience.
His Functional magnetic resonance imaging research incorporates elements of Cognitive psychology, Effects of sleep deprivation on cognitive performance and Brain damage. His Cognition research is multidisciplinary, incorporating elements of Developmental psychology and Audiology. Frank G. Hillary interconnects Right prefrontal cortex, Prefrontal cortex and Neural recruitment in the investigation of issues within Working memory.
Frank G. Hillary mostly deals with Traumatic brain injury, Neuroimaging, Clinical psychology, Anesthesia and Physical medicine and rehabilitation. Frank G. Hillary has included themes like White matter, Head injury, Neuropsychology, Brain morphometry and Functional neuroimaging in his Traumatic brain injury study. Frank G. Hillary works mostly in the field of Functional neuroimaging, limiting it down to concerns involving Parietal lobe and, occasionally, Default mode network.
His research integrates issues of Frontal lobe and Outcome prediction in his study of Physical medicine and rehabilitation. While working in this field, Frank G. Hillary studies both Fractal dimension and Neuroscience. His biological study focuses on Major depressive disorder.
His primary areas of investigation include Functional networks, Traumatic brain injury, Functional connectivity, Graph theory and Cognitive science. His Functional networks study frequently draws parallels with other fields, such as Metacognition. His Traumatic brain injury study combines topics from a wide range of disciplines, such as Neuroimaging and Default mode network.
His Default mode network research integrates issues from Head injury, Neuropsychological assessment, Audiology, Artificial neural network and Receiver operating characteristic. Frank G. Hillary regularly links together related areas like Human brain in his Functional connectivity studies.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Resting Network Plasticity Following Brain Injury
Toru Nakamura;Frank G. Hillary;Bharat B. Biswal.
PLOS ONE (2009)
Neural correlates of cognitive fatigue in multiple sclerosis using functional MRI.
John DeLuca;Helen M. Genova;Frank G. Hillary;Glenn Wylie.
Journal of the Neurological Sciences (2008)
ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries
Paul M Thompson;Neda Jahanshad;Christopher R K Ching;Lauren E Salminen.
Translational Psychiatry (2020)
The neural correlates of cognitive fatigue in traumatic brain injury using functional MRI
A. D. Kohl;Glenn R. Wylie;H. M. Genova;F. G. Hillary.
Brain Injury (2009)
Hyperconnectivity is a fundamental response to neurological disruption
Frank G. Hillary;Cristina A. Roman;Umesh Venkatesan;Sarah M. Rajtmajer.
Neuropsychology (journal) (2015)
Automatic search for fMRI connectivity mapping: An alternative to Granger causality testing using formal equivalences among SEM path modeling, VAR, and unified SEM
Kathleen M. Gates;Peter Molenaar;Frank Gerard Hillary;Nilam Ram.
NeuroImage (2010)
Injured Brains and Adaptive Networks: The Benefits and Costs of Hyperconnectivity
Frank G. Hillary;Frank G. Hillary;Jordan H. Grafman.
Trends in Cognitive Sciences (2017)
Prefrontal modulation of working memory performance in brain injury and disease
Frank Gerard Hillary;Helen M. Genova;Helen M. Genova;Nancy D. Chiaravalloti;Nancy D. Chiaravalloti;Bart Rypma.
Human Brain Mapping (2006)
Cerebral activation patterns during working memory performance in multiple sclerosis using FMRI.
Nancy D. Chiaravalloti;Frank G. Hillary;Joseph H. Ricker;Christopher Christodoulou.
Journal of Clinical and Experimental Neuropsychology (2005)
Extended unified SEM approach for modeling event-related fMRI data.
Kathleen M. Gates;Peter C.M. Molenaar;Frank G. Hillary;Semyon Slobounov.
NeuroImage (2011)
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