My work utilizes multimodal brain imaging along with cutting edge analytical techniques to quantify complex brain network organization and dynamics.
My primary goal is to map complex clinical phenotypes to complex anatomical, functional, and biochemical organization in brain systems that support attention and social awareness. I am building research partnerships with clinicians to better understand developmental, neuropsychiatric, and neurological disorders such as autism, attention deficit/hyperactivity disorder, anxiety, chronic pain, and traumatic brain injury. A key emphasis is to pursue avenues holding promise for the development of non-pharmacological interventions that can improve quality of life for children and families affected by these conditions.
Emerging neuroimaging technologies: Toward future personalized diagnostics, prognosis, targeted intervention, and ethical challenges
Oxford Scholarship Online
Urs Ribary, Alex L. MacKay, Alexander Rauscher, Christine M. Tipper, Deborah E. Giaschi, Todd S. Woodward, Vesna Sossi, Sam M. Doesburg, Lawrence M. Ward, Anthony Herdman, Ghassan Hamarneh, Brian G. Booth, Alexander Moiseev
Altered balance of functional brain networks in Schizophrenia
Psychiatry Research: Neuroimaging
Todd S. Woodward, KaWai Leong, Nicole Sanford, Christine M. Tipper, Katie M. Lavigne
Processing Narratives Concerning Protected Values: A Cross-Cultural Investigation of Neural Correlates
Jonas T. Kaplan, Sarah I. Gimbel, Morteza Dehghani, Mary Helen Immordino-Yang, Kenji Sagae, Jennifer D. Wong, Christine M. Tipper, Hanna Damasio, Andrew S. Gordon, Antonio Damasio
Reduced functional connectivity during controlled semantic integration in schizophrenia: A multivariate approachReduced Functional Connectivity
Hum. Brain Mapp.
Todd S. Woodward, Christine M. Tipper, Alexander L. Leung, Katie M. Lavigne, Nicole Sanford, Paul D. Metzak
Maintaining a cautious state of mind during a recognition test: A large-scale fMRI study
Aminoff, E.M. and Freeman, S. and Clewett, D. and Tipper, C. and Frithsen, A. and Johnson, A. and Grafton, S.T. and Miller, M.B.
Structurally-Constrained Relationships between Cognitive States in the Human Brain
PLoS Comput Biol
Ann M. Hermundstad, Kevin S. Brown, Danielle S. Bassett, Elissa M. Aminoff, Amy Frithsen, Arianne Johnson, Christine M. Tipper, Michael B. Miller, Scott T. Grafton, Jean M. Carlson
Escaping the here and now: Evidence for a role of the default mode network in perceptually decoupled thought
Jonathan Smallwood, Christine Tipper, Kevin Brown, Benjamin Baird, Haakon Engen, Joseph R. Michaels, Scott Grafton, Jonathan W. Schooler
Structural foundations of resting-state and task-based functional connectivity in the human brain
Proceedings of the National Academy of Sciences of the United States of America
Hermundstad, A.M. and Bassett, D.S. and Brown, K.S. and Aminoff, E.M. and Clewett, D. and Freeman, S. and Frithsen, A. and Johnson, A. and Tipper, C.M. and Miller, M.B. and Grafton, S.T. and Carlson, J.M.
Individual differences in shifting decision criterion: A recognition memory study
Elissa M. Aminoff, David Clewett, Scott Freeman, Amy Frithsen, Christine Tipper, Arianne Johnson, Scott T. Grafton, Michael B. Miller
Attitudes trigger motor behavior through conditioned associations: Neural and behavioral evidence
Social Cognitive and Affective Neuroscience
McCall, C. and Tipper, C.M. and Blascovich, J. and Grafton, S.T.
Pupillometric Evidence for the Decoupling of Attention from Perceptual Input during Offline Thought
Jonathan Smallwood, Kevin S. Brown, Christine Tipper, Barry Giesbrecht, Michael S. Franklin, Michael D. Mrazek, Jean M. Carlson, Jonathan W. Schooler
Motor experience with graspable objects reduces their implicit analysis in visual- and motor-related cortex
Todd C. Handy, Christine M. Tipper, Jana Schaich Borg, Scott T. Grafton, Michael S. Gazzaniga
Processing efficiency of a verbal working memory system is modulated by amphetamine: an fMRI investigation
Christine M. Tipper, Tara A. Cairo, Todd S. Woodward, Anthony G. Phillips, Peter F. Liddle, Elton T. C. Ngan
Placing a tool in the spotlight: spatial attention modulates visuomotor responses in cortex
Todd C. Handy, Jana Schaich Borg, David J. Turk, Christine M. Tipper, Scott T. Grafton, Michael S. Gazzaniga
Attending to a dynamic world: Influences of the optic flow field on visuospatial attention and the P1 ERP component.
Journal of Cognitive Neuroscience
Tipper, C and Bischof, W and Handy, T
Temporal lobe dysfunction in patients with schizophrenia during performance of a speech and non-speech analogue detection task: An event-related fMRI study
Cairo, TA and Liddle, PF and Vouloumanos, A and Tipper, CM and Anderson, CM and Werker, JF and Laurens, KR and Bates, AT and Ngan, ETC
A role for the anterior cingulate cortex in resolution of prior inhibition
Journal of Cognitive Neuroscience
Woodward, T and Laurens, K and Ruff, C and Steffen, M and Tipper, C and Ngan, E and Liddle, P
Attitudes trigger motor behavior through arbitrarily conditioned associations: Neural and behavioral evidence(528002014-075)
Cade McCall, Christine Tipper, Jim Blascovich, Scott Grafton
The role of neural simulation in action understanding: A simultaneous fMRI-EEG study
This study investigates the role of agent-independent brain substrates in coding various properties of action. Previous research has revealed a functionally stratefied, hierarchiacally organized action observation brain network (AON). This network is involved in representing both executed and observed actions. There has been much debate over whether this functional overlap reflects a human "mirror neuron system". This study utilized a novel virtual reality task and an fMRI design known as repetition suppression (RS) to directly test for brain substrates that responded identically regardless of whether an action was seen or performed. EEG data collected simultaneously also enables us to chart the functional dynamics linked to the integration of distinct brain processes underlying action representation.
Dynamic brain networks for the integration of attention functions: A combined fMRI-EEG study
This study collected fMRI and dense-array EEG data on the same participants while they perfromed a challenging, attention-demaning task. Using a variance-based brain imaging analysis technique known as constrained principal component analysis (CPCA), we aim to identify distinct brain networks that mediate the various component processes of attention, and quantify the functional dynamics underlying their inegration. A key component of this study is the development of analytical techniques to combine the precise spatial information provided by fMRI with the precise temporal information provided by EEG.
Functional brain networks of the frontoparietal attention system
Paradoxically, despite being one of the most intensively studied topics in cognitive neuroscience, “attention” remains a nebulous concept. This is because attention is not a unitary phenomenon with a single underlying brain mechanism, but rather is comprised of multiple component processes mediated cortically by a distributed network of frontal and parietal brain regions. The goal of this project is to distinguish component processes of attention and determine their neural substrates. This study utilizes fMRI and a novel application of a variance-based brain analytical technique known as constrained principal component analysis (CPCA) to identify functional brain networks that mediate the various component process of attention.
Research Group Members
Raysa Santos, Undergraduate Student
Harveen Hayer, Medical Student
Braden Hale, Work Learn Student