As we repeat goal-directed behaviors, these behaviors often become habitual and so routine that we can perform them almost without thinking. This capacity to form habits is very valuable in our normal lives. When we can operate in a habitual mode, we free up cognitive resources. The process by which goal-directed behaviors become habitual has attracted great interest among basic scientists and also among physicians, because when this habit-process goes awry, behavioral problems can emerge. In neuropsychiatric disorders in which repetitive behaviors are predominant symptoms, habit forming may be in overdrive. When we lose the ready facility to form habits, thoughts and actions may lose part of the fundamental organization that normal routines confer on our behavior. The goal of the proposed work is to identify the circuit-level neural mechanisms that underlie this transition from deliberative behavioral performance to a habitual mode of performance in which the behavior continues to be performed without reference to the original goal. It is known that parts of prefrontal cortex and the striatum are necessary for habit formation, but how they act to allow the behavioral shift to habitual behavior still are not understood. We have recorded neural activity in the prefrontal cortex and striatum simultaneously through the entire process of habit formation from early acquisition to the over-training period when the habit becomes ingrained. We have found that as the shift from goal-directed to habitual behavior occurs, there are remarkable changes in the firing patterns of neurons both in different parts of the striatum and in the prefrontal cortex. We now propose experiments to determine how these regions interact and whether there are 'controller'regions by perturbing or silencing individual zones as rats form habits, in order to understand how this network of brain regions bring about shifts between flexible goal-directed behavior and less flexible habitual behavior. Disturbances in the balance between flexibility and fixity of behavior are critical in a number of neurologic and neuropsychiatric disorders ranging from Parkinson's disease to obsessive-compulsive disorder to psychosis. Thus, the experiments proposed are directly related to the mission of the NIMH to understand, prevent and cure mental illness.
We all know that habits are important in our lives but that habits can be a terrible problem both in terms of addiction and medical disorders. Our research is dedicated to the goal of understanding how habits form and how they are controlled by the brain. With this work, we hope to help people with habit-related problems.
|Delcasso, Sebastien; Denagamage, Sachira; Britton, Zelie et al. (2018) HOPE: Hybrid-Drive Combining Optogenetics, Pharmacology and Electrophysiology. Front Neural Circuits 12:41|
|Martiros, Nuné; Burgess, Alexandra A; Graybiel, Ann M (2018) Inversely Active Striatal Projection Neurons and Interneurons Selectively Delimit Useful Behavioral Sequences. Curr Biol 28:560-573.e5|
|Crittenden, Jill R; Lacey, Carolyn J; Weng, Feng-Ju et al. (2017) Striatal Cholinergic Interneurons Modulate Spike-Timing in Striosomes and Matrix by an Amphetamine-Sensitive Mechanism. Front Neuroanat 11:20|
|Friedman, Alexander; Homma, Daigo; Bloem, Bernard et al. (2017) Chronic Stress Alters Striosome-Circuit Dynamics, Leading to Aberrant Decision-Making. Cell 171:1191-1205.e28|
|Bloem, Bernard; Huda, Rafiq; Sur, Mriganka et al. (2017) Two-photon imaging in mice shows striosomes and matrix have overlapping but differential reinforcement-related responses. Elife 6:|
|Nakamura, Toru; Nagata, Masatoshi; Yagi, Takeshi et al. (2017) Learning new sequential stepping patterns requires striatal plasticity during the earliest phase of acquisition. Eur J Neurosci 45:901-911|
|Friedman, Alexander; Slocum, Joshua F; Tyulmankov, Danil et al. (2016) Analysis of complex neural circuits with nonlinear multidimensional hidden state models. Proc Natl Acad Sci U S A 113:6538-43|
|Kalueff, Allan V; Stewart, Adam Michael; Song, Cai et al. (2016) Neurobiology of rodent self-grooming and its value for translational neuroscience. Nat Rev Neurosci 17:45-59|
|Smith, Kyle S; Graybiel, Ann M (2016) Habit formation. Dialogues Clin Neurosci 18:33-43|
|Friedman, Alexander; Keselman, Michael D; Gibb, Leif G et al. (2015) A multistage mathematical approach to automated clustering of high-dimensional noisy data. Proc Natl Acad Sci U S A 112:4477-82|
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