The brain's potential to flexibly engage different functional networks in a rapidly changing environment is crucial both for facilitating a wide variety of behaviors and adaptively reorganizing following damage. This network plasticity can emerge through both changes in the local connectivity strengths within functional networks and the more global network structure of the whole brain. A recent surge of studies has assessed the intrinsic functional connectivity of local networks of brain regions during rest using functionl MRI (fMRI). Quantifying the global properties of this complex brain organization is now possible using graph theoretical tools, in which brain regions are defined as nodes and connections between regions are defined as edges. The broad goal of this proposal is to apply local, network-specific connectivity measurements as well as global, graph theoretical methods to examine the capacity for neuroplasticity under two different contexts: disruption of cortical function (acute and chronic) and specific cognitive task demands. Studies of the effect of brain damage on network organization have focused on the local, network specific effects of damage, generally finding that damage to one portion of a network effects connected but undamaged regions. The consequence of focal damage on global brain organization has primarily been examined with simulated lesion data and it is proposed that brain regions particularly important for integrating information across networks, are most critical to maintaining network integrity. Here we will test this prediction by using resting state fMRI data collected from patients with focal brain lesions and healthy participants following transcranial magnetic stimulation (TMS). We will test the hypothesis that perturbation of intrinsic brain organization results in both local decreases in the affected network and global reconfiguration of brain modules. Moreover, we hypothesize that the roles of nodes within networks that have reconfigured following brain damage is compensatory. Another approach for investigating network reconfiguration is to compare brain organization at rest to that during a cognitive task. Thus, we will also test the hypothesis that, similar to the adaptive reorganization after damage, specific task demands will result in rapid alteration of network organization at both the global and local level. This proposa will further knowledge about brain organization and its potential for plasticity in various context, such as brain damage and the dynamics cognitive demands of daily life. Moreover, we propose that network approaches such as those applied in this proposal can provide empirical data to reconcile strictly localizationalist vs. distributionist accounts of brain function. Relevant to th NIH mission, the neural mechanisms underlying brain plasticity identified in the proposed studies can serve as targets for the development of diagnostic biomarkers as well as cognitive therapy interventions for rehabilitation of patients with brain damage from prevalent neurological disorders such as stroke and traumatic brain injury.
The proposed research is relevant to public health because it will advance our understanding of recovery of function after brain injury from neurological disorders such as stroke or traumatic brain injury. Stroke and traumatic brain injury are two of the most highly prevalent neurological disorders and the care of these patients result in significant health care costs. The proposed research is also relevant to NIH's mission because it will lead to basic knowledge about recovery of function following brain damage that can provide valuable insights into the understanding, diagnosis and treatment of a wide range of neurological conditions.
|Hwang, Kai; Bertolero, Maxwell A; Liu, William B et al. (2017) The Human Thalamus Is an Integrative Hub for Functional Brain Networks. J Neurosci 37:5594-5607|
|Baniqued, Pauline L; Gallen, Courtney L; Voss, Michelle W et al. (2017) Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults. Front Aging Neurosci 9:426|
|Bertolero, M A; Yeo, B T T; D'Esposito, M (2017) The diverse club. Nat Commun 8:1277|
|Gallen, Courtney L; Baniqued, Pauline L; Chapman, Sandra B et al. (2016) Modular Brain Network Organization Predicts Response to Cognitive Training in Older Adults. PLoS One 11:e0169015|
|Gallen, Courtney L; Turner, Gary R; Adnan, Areeba et al. (2016) Reconfiguration of brain network architecture to support executive control in aging. Neurobiol Aging 44:42-52|
|Rahnev, Dobromir; Nee, Derek Evan; Riddle, Justin et al. (2016) Causal evidence for frontal cortex organization for perceptual decision making. Proc Natl Acad Sci U S A 113:6059-64|
|Cohen, Jessica R; D'Esposito, Mark (2016) The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition. J Neurosci 36:12083-12094|
|Arnemann, Katelyn L; Chen, Anthony J-W; Novakovic-Agopian, Tatjana et al. (2015) Functional brain network modularity predicts response to cognitive training after brain injury. Neurology 84:1568-74|
|Bertolero, Maxwell A; Yeo, B T Thomas; D'Esposito, Mark (2015) The modular and integrative functional architecture of the human brain. Proc Natl Acad Sci U S A 112:E6798-807|
|Sadaghiani, Sepideh; D'Esposito, Mark (2015) Functional Characterization of the Cingulo-Opercular Network in the Maintenance of Tonic Alertness. Cereb Cortex 25:2763-73|
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