Pain is by far the most frequent symptom for seeking health care. However, current understanding of pain perception lags far behind other aspects of contemporary neuroscience. Tools and techniques are equally outdated relative to other areas. As a consequence and despite many important advances the objective link between pain perception and cortical neuronal activity is still missing. Recent development of technology for multi-electrode recording in freely moving animals in conjunction with the advent of novel theoretical tools of analysis seems to provide a reasonable opportunity for uncovering the causal relationship between perception of pain and cortical neuroelectrical activity. Recent human brain imaging studies (including our own) have implicated distinct cortical patterns for acute vs. chronic pain conditions. Altogether these results suggest specific hypotheses to be tested in this project. ? ? The overall aim is to find the link between dynamic patterns of cortical activity and pain perception. Rat models of acute (transient mechanical and thermal noxious stimuli) and chronic pain conditions (peripheral partial nerve injury resultant pain behavior) will be instrumented with multi-electrode recordings. We will identify cortical spatiotemporal patterns of neuronal activity previously reported during perception in other sensory and cognitive modalities. We will test the main hypothesis that perception of pain equates to synchronous activation of multiple cortical regions on an oscillatory (Gamma-like) pattern, differing in the regions involved for acute and chronic states. Neuronal population properties to painful stimuli will be studied in awake behaving rats. Interactions within and across 5 different brain areas will be studied (primary and secondary somatosensory, insular, cingulate, and orbital frontal), using local field potentials, single- and multi-unit spike activity. Overall these results should identify the link between pain perception and cortical activity objectively enough to provide a quantitative assessment of clinical pain conditions, and propose new directions for therapy, especially for chronic pain conditions.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS042660-04
Application #
6916407
Study Section
Integrative, Functional and Cognitive Neuroscience 8 (IFCN)
Program Officer
Porter, Linda L
Project Start
2002-07-01
Project End
2006-12-31
Budget Start
2005-07-01
Budget End
2006-12-31
Support Year
4
Fiscal Year
2005
Total Cost
$317,419
Indirect Cost
Name
Northwestern University at Chicago
Department
Physiology
Type
Schools of Medicine
DUNS #
005436803
City
Chicago
State
IL
Country
United States
Zip Code
60611
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Baria, A T; Mansour, A; Huang, L et al. (2013) Linking human brain local activity fluctuations to structural and functional network architectures. Neuroimage 73:144-55
del Rey, Adriana; Apkarian, A Vania; Martina, Marco et al. (2012) Chronic neuropathic pain-like behavior and brain-borne IL-1ýý. Ann N Y Acad Sci 1262:101-7
Farmer, Melissa A; Baliki, Marwan N; Apkarian, A Vania (2012) A dynamic network perspective of chronic pain. Neurosci Lett 520:197-203
Mutso, Amelia A; Radzicki, Daniel; Baliki, Marwan N et al. (2012) Abnormalities in hippocampal functioning with persistent pain. J Neurosci 32:5747-56
Centeno, Maria V; Mutso, Amelia; Millecamps, Magali et al. (2009) Prefrontal cortex and spinal cord mediated anti-neuropathy and analgesia induced by sarcosine, a glycine-T1 transporter inhibitor. Pain 145:176-83
Anteneodo, C; Chialvo, D R (2009) Unraveling the fluctuations of animal motor activity. Chaos 19:033123
Vania Apkarian, A; Lavarello, Simona; Randolf, Anke et al. (2006) Expression of IL-1beta in supraspinal brain regions in rats with neuropathic pain. Neurosci Lett 407:176-81
Baronchelli, Andrea; Loreto, Vittorio (2006) Ring structures and mean first passage time in networks. Phys Rev E Stat Nonlin Soft Matter Phys 73:026103
Eguiluz, Victor M; Chialvo, Dante R; Cecchi, Guillermo A et al. (2005) Scale-free brain functional networks. Phys Rev Lett 94:018102

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