David G. Norris
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
David G. Norris has a total of 32 co-authors. Here are the top co-authors by number of shared publications:
- A. Marten H. Onnink
Radboud University Medical Center, Department of Human Genetics, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
1 shared publication - Alberto Llera
Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre
1 shared publication - Alejandro Arias Vasquez
Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour
1 shared publication - Anil Man Tuladhar
Department of Neurology, Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
1 shared publication - Anne-Marie van Cappellen van Walsum
Department of Anatomy, Radboud University Medical Centre, Geert Grooteplein-Zuid 10, 6525 GA Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behavior, Kapittelweg 29, 6525 EN Nijmegen, The Netherlands
1 shared publication - Barbara Franke
Department of Medical Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
1 shared publication
Latest Publications
- Open Access
- 1 September 2020
- Published by Elsevier in NeuroImage
- Vol. 218, 116783
Single-subject Single-session Temporally-Independent Functional Modes of Brain Activity
- 1 September 2020
- Published by Elsevier in NeuroImage
- Vol. 218, 116783
Open AccessSingle-subject Single-session Temporally-Independent Functional Modes of Brain Activity
- 1 April 2019
- Published by Elsevier in Parkinsonism & Related Disorders
- Vol. 61, 94-100
Brain atrophy and strategic lesion location increases risk of parkinsonism in cerebral small vessel disease
- 1 April 2019
- Published by Elsevier in Parkinsonism & Related Disorders
- Vol. 61, 94-100
Brain atrophy and strategic lesion location increases risk of parkinsonism in cerebral small vessel disease
- Open Access
- 24 November 2016
- Published by Springer Nature in Experimental Brain Research
- Vol. 235 (3) , 799-807
Abnormal connectivity in the sensorimotor network predicts attention deficits in traumatic brain injury
The aim of this study was to explore modifications of functional connectivity in multiple resting-state networks (RSNs) after moderate to severe traumatic brain injury (TBI) and evaluate the relationship between functional connectivity patterns and cognitive abnormalities. Forty-three moderate/severe TBI patients and 34 healthy controls (HC) underwent resting-state fMRI. Group ICA was applied to identify RSNs. Between-subject analysis was performed using dual regression. Multiple linear regressions were used to investigate the relationship between abnormal connectivity strength and neuropsychological outcome. Forty (93%) TBI patients showed moderate disability, while 2 (5%) and 1 (2%) upper severe disability and low good recovery, respectively. TBI patients performed worse than HC on the domains attention and language. We found increased connectivity in sensorimotor, visual, default mode (DMN), executive, and cerebellar RSNs after TBI. We demonstrated an effect of connectivity in the sensorimotor RSN on attention (p < 10−3) and a trend towards a significant effect of the DMN connectivity on attention (p = 0.058). A group-by-network interaction on attention was found in the sensorimotor network (p = 0.002). In TBI, attention was positively related to abnormal connectivity within the sensorimotor RSN, while in HC this relation was negative. Our results show altered patterns of functional connectivity after TBI. Attention impairments in TBI were associated with increased connectivity in the sensorimotor network. Further research is needed to test whether attention in TBI patients is directly affected by changes in functional connectivity in the sensorimotor network or whether the effect is actually driven by changes in the DMN.
- 24 November 2016
- Published by Springer Nature in Experimental Brain Research
- Vol. 235 (3) , 799-807
Open AccessAbnormal connectivity in the sensorimotor network predicts attention deficits in traumatic brain injury
The aim of this study was to explore modifications of functional connectivity in multiple resting-state networks (RSNs) after moderate to severe traumatic brain injury (TBI) and evaluate the relationship between functional connectivity patterns and cognitive abnormalities. Forty-three moderate/severe TBI patients and 34 healthy controls (HC) underwent resting-state fMRI. Group ICA was applied to identify RSNs. Between-subject analysis was performed using dual regression. Multiple linear regressions were used to investigate the relationship between abnormal connectivity strength and neuropsychological outcome. Forty (93%) TBI patients showed moderate disability, while 2 (5%) and 1 (2%) upper severe disability and low good recovery, respectively. TBI patients performed worse than HC on the domains attention and language. We found increased connectivity in sensorimotor, visual, default mode (DMN), executive, and cerebellar RSNs after TBI. We demonstrated an effect of connectivity in the sensorimotor RSN on attention (p < 10−3) and a trend towards a significant effect of the DMN connectivity on attention (p = 0.058). A group-by-network interaction on attention was found in the sensorimotor network (p = 0.002). In TBI, attention was positively related to abnormal connectivity within the sensorimotor RSN, while in HC this relation was negative. Our results show altered patterns of functional connectivity after TBI. Attention impairments in TBI were associated with increased connectivity in the sensorimotor network. Further research is needed to test whether attention in TBI patients is directly affected by changes in functional connectivity in the sensorimotor network or whether the effect is actually driven by changes in the DMN.
- Open Access
- 1 June 2016
- Published by Elsevier in Progress in Neuro-Psychopharmacology and Biological Psychiatry
- Vol. 67, 82-91
Characterising resting-state functional connectivity in a large sample of adults with ADHD
- 1 June 2016
- Published by Elsevier in Progress in Neuro-Psychopharmacology and Biological Psychiatry
- Vol. 67, 82-91
Open AccessCharacterising resting-state functional connectivity in a large sample of adults with ADHD
- 1 April 2015
- Published by Elsevier in NeuroImage
- Vol. 109, 378-387
Diffusion tensor characteristics of gyrencephaly using high resolution diffusion MRI in vivo at 7T
- 1 April 2015
- Published by Elsevier in NeuroImage
- Vol. 109, 378-387
Diffusion tensor characteristics of gyrencephaly using high resolution diffusion MRI in vivo at 7T
- 1 August 2012
- Published by Elsevier in NeuroImage
- Vol. 62 (2) , 1109-1115
Spin-echo fMRI: The poor relation?
- 1 August 2012
- Published by Elsevier in NeuroImage
- Vol. 62 (2) , 1109-1115
Spin-echo fMRI: The poor relation?