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 and Alex L. MacKay and Alexander Rauscher and Christine M. Tipper and Deborah E. Giaschi and Todd S. Woodward and Vesna Sossi and Sam M. Doesburg and Lawrence M. Ward and Anthony Herdman and Ghassan Hamarneh and Brian G. Booth and Alexander Moiseev
Altered balance of functional brain networks in Schizophrenia
Psychiatry Research: Neuroimaging
Todd S. Woodward and KaWai Leong and Nicole Sanford and Christine M. Tipper and Katie M. Lavigne
Processing Narratives Concerning Protected Values: A Cross-Cultural Investigation of Neural Correlates
Jonas T. Kaplan and Sarah I. Gimbel and Morteza Dehghani and Mary Helen Immordino-Yang and Kenji Sagae and Jennifer D. Wong and Christine M. Tipper and Hanna Damasio and Andrew S. Gordon and Antonio Damasio
Reduced functional connectivity during controlled semantic integration in schizophrenia: A multivariate approach
Hum. Brain Mapp.
Todd S. Woodward and Christine M. Tipper and Alexander L. Leung and Katie M. Lavigne and Nicole Sanford and 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 and Kevin S. Brown and Danielle S. Bassett and Elissa M. Aminoff and Amy Frithsen and Arianne Johnson and Christine M. Tipper and Michael B. Miller and Scott T. Grafton and Jean M. Carlson
Escaping the here and now: Evidence for a role of the default mode network in perceptually decoupled thought
Jonathan Smallwood and Christine Tipper and Kevin Brown and Benjamin Baird and Haakon Engen and Joseph R. Michaels and Scott Grafton and 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, Ann M. and Bassett, Danielle S. and Brown, Kevin S. and Aminoff, Elissa M. and Clewett, David and Freeman, Scott and Frithsen, Amy and Johnson, Arianne and Tipper, Christine M. and Miller, Michael B. and Grafton, Scott T. and Carlson, Jean M.
Individual differences in shifting decision criterion: A recognition memory study
Elissa M. Aminoff and David Clewett and Scott Freeman and Amy Frithsen and Christine Tipper and Arianne Johnson and Scott T. Grafton and Michael B. Miller
Attitudes trigger motor behavior through conditioned associations: neural and behavioral evidence
Social Cognitive and Affective Neuroscience
McCall, Cade and Tipper, Christine M. and Blascovich, Jim and Grafton, Scott T.
Pupillometric Evidence for the Decoupling of Attention from Perceptual Input during Offline Thought
Jonathan Smallwood and Kevin S. Brown and Christine Tipper and Barry Giesbrecht and Michael S. Franklin and Michael D. Mrazek and Jean M. Carlson and Jonathan W. Schooler
Motor experience with graspable objects reduces their implicit analysis in visual- and motor-related cortex
Todd C. Handy and Christine M. Tipper and Jana Schaich Borg and Scott T. Grafton and Michael S. Gazzaniga
Processing efficiency of a verbal working memory system is modulated by amphetamine: an fMRI investigation
Christine M. Tipper and Tara A. Cairo and Todd S. Woodward and Anthony G. Phillips and Peter F. Liddle and Elton T. C. Ngan
Placing a tool in the spotlight: spatial attention modulates visuomotor responses in cortex
Todd C. Handy and Jana Schaich Borg and David J. Turk and Christine M. Tipper and Scott T. Grafton and 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
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
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
Attitudes trigger motor behavior through arbitrarily conditioned associations: Neural and behavioral evidence
Cade McCall and Christine Tipper and Jim Blascovich and 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
Harveen Hayer, Medical Student
Raysa Santos, Undergraduate Student