Sean R. McWhinney
Dalhousie University
Duration (music)PsychiatryBrain activity and meditationPhysicsInternal medicineNeural correlates of consciousnessAssociation (psychology)Diffusion MRILimit (mathematics)Artificial intelligencePsychologyCardiologyGray (unit)NeuroscienceCognitionLateralityBrain–computer interfaceFunctional integration (neurobiology)Pattern recognitionCognitive psychologyFunctional imagingPediatricsCross modal plasticityGestureNeurofeedbackBiological motion perceptionFlexibility (personality)Wada testAge of onsetLongitudinal studyCorpus callosumEpilepsyAmygdalaComorbidityFunctional magnetic resonance imagingGyrusPsychosisPositive and Negative Syndrome ScaleGlobal Assessment of FunctioningBody mass indexTask (project management)Lateral ventriclesAthletesHippocampusWhite matterInferior frontal gyrusCognitive declineBrain activationLife spanPost hocProbabilistic tractographyFirst episodeBrain organizationVerbal learningT2 contrastEnhanced sensitivityHealthy agingHealthy individualsSimulationNuclear magnetic resonanceNeuroplasticityAgeingBrain mappingRisk factorObesityMotor imageryAudiologyMagnetoencephalographyFunction (mathematics)NeuroimagingRobot controlMedicineSchizophreniaGerontologySpin echoFractional anisotropyHemoencephalography
10Publications
6H-index
57Citations
Publications 10
Newest
#1Sean R. McWhinney (Dal: Dalhousie University)H-Index: 6
#2Marian Kolenic (Charles University in Prague)H-Index: 5
Last. Tomas Hajek (NIH: National Institutes of Health)H-Index: 37
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BACKGROUND Obesity is highly prevalent in schizophrenia, with implications for psychiatric prognosis, possibly through links between obesity and brain structure. In this longitudinal study in first episode of psychosis (FEP), we used machine learning and structural magnetic resonance imaging (MRI) to study the impact of psychotic illness and obesity on brain ageing/neuroprogression shortly after illness onset. METHODS We acquired 2 prospective MRI scans on average 1.61 years apart in 183 FEP and...
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#1Tomas HajekH-Index: 37
#2Sean R. McWhinneyH-Index: 6
Last. Paul M. ThompsonH-Index: 201
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#1Sean R. McWhinney (Dal: Dalhousie University)H-Index: 6
#2Christoph Abé (KI: Karolinska Institutet)H-Index: 18
Last. Tomas Hajek (Dal: Dalhousie University)H-Index: 37
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Individuals with bipolar disorders (BD) frequently suffer from obesity, which is often associated with neurostructural alterations. Yet, the effects of obesity on brain structure in BD are under-researched. We obtained MRI-derived brain subcortical volumes and body mass index (BMI) from 1134 BD and 1601 control individuals from 17 independent research sites within the ENIGMA-BD Working Group. We jointly modeled the effects of BD and BMI on subcortical volumes using mixed-effects modeling and tes...
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#1Sarah N. Kraeutner (Dal: Dalhousie University)H-Index: 6
#2Sean R. McWhinney (Dal: Dalhousie University)H-Index: 6
Last. Shaun G. BoeH-Index: 19
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Whether or not brain activation during motor imagery (MI), the mental rehearsal of movement, is modulated by experience (i.e. skilled performance, achieved through long-term practice) remains unclear. Specifically, MI is generally associated with diffuse activation patterns that closely resemble novice physical performance, which may be attributable to a lack of experience with the task being imagined vs. being a distinguishing feature of MI. We sought to examine how experience modulates brain a...
14 CitationsSource
#1Sean R. McWhinney (Dal: Dalhousie University)H-Index: 6
#2Antoine Tremblay (Saint Mary's University)H-Index: 8
Last. Timothy Bardouille (Dal: Dalhousie University)H-Index: 11
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Neurofeedback training teaches individuals to modulate brain activity by providing real-time feedback and can be used for brain–computer interface control. The present study aimed to optimize training by maximizing engagement through goal-oriented task design. Participants were shown either a visual display or a robot, where each was manipulated using motor imagery (MI)-related electroencephalography signals. Those with the robot were instructed to quickly navigate grid spaces, as the potential ...
7 CitationsSource
#1Sean R. McWhinney (Dal: Dalhousie University)H-Index: 6
#2Antoine Tremblay (Dal: Dalhousie University)H-Index: 8
Last. Aaron J. Newman (Dal: Dalhousie University)H-Index: 16
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Abstract Healthy aging has been associated with a global reduction in white matter integrity, which is thought to reflect cognitive decline. The present study aimed to investigate this reduction over a broad range of the life span, using diffusion tensor imaging analyzed with conditional inference random forest modeling (CForest). This approach is sensitive to subtle and potentially nonlinear effects over the age continuum and was used to characterize the progression of decline in greater detail...
7 CitationsSource
#2Antoine TremblayH-Index: 8
Last. Aaron J. NewmanH-Index: 16
view all 9 authors...
2 Citations
#1Sean R. McWhinney (Dal: Dalhousie University)H-Index: 6
#2Timothy BardouilleH-Index: 11
Last. Aaron J. Newman (Dal: Dalhousie University)H-Index: 16
view all 4 authors...
Functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) are neuroimaging techniques that measure inherently different physiological processes, resulting in complementary estimates of brain activity in different regions. Combining the maps generated by each technique could thus provide a richer understanding of brain activation. However, present approaches to integration rely on a priori assumptions, such as expected patterns of brain activation in a task, or use fMRI to bia...
7 CitationsSource
#1Ryan C.N. D'ArcyH-Index: 24
#2Timothy Bardouille (Halifax)H-Index: 11
Last. Michael J. EsserH-Index: 1
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Functional imaging is increasingly being used to provide a noninvasive alternative to intracarotid sodium amobarbitol testing (i.e., the Wada test). Although magnetoencephalography (MEG) has shown significant potential in this regard, the resultant output is often reduced to a simplified estimate of laterality. Such estimates belie the richness of functional imaging data and consequently limit the potential value. We present a novel approach that utilizes MEG data to compute “complex laterality ...
9 CitationsSource
#1Sean R. McWhinney (Dal: Dalhousie University)H-Index: 6
#2Erin L. Mazerolle (Dal: Dalhousie University)H-Index: 15
Last. Ryan C.N. D'ArcyH-Index: 24
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Recent developments have shown that it is possible to detect functional magnetic resonance imaging (fMRI) activation in white matter (WM). Enhanced sensitivity to WM fMRI signals has been associated with the asymmetric spin echo (ASE) spiral sequence. The ASE spiral sequence produces three consecutive images that have equal blood-oxygen level-dependent (BOLD) contrast but increasing T2 contrast. The current study evaluated whether ASE spiral sensitivity differed between white and gray matter in ...
9 CitationsSource