In keeping with a mission of NIAAA to increase the understanding of normal and abnormal biological functions and behavior relating to alcohol use, the goal of the proposed studies is to advance knowledge about the unique neuroadaptation of the human brain to the injury caused by chronic alcoholism. In this proposal alcoholic brain damage is viewed as a disorder of neuroconnectivity with structural and functional concomitants. Many brain networks and systems subserving specific functions have well defined architecture. It has recently been recognized that there are also brain networks without a known neuroanatomy that reflect "intrinsic" brain functioning and are demonstrable only with functional connectivity imaging. This project will apply advanced neuroimaging to interrogate the disruption of neuroconnectivity in alcoholics and their potential compensatory neuroadaptation. Quantitative measurement of brain white matter microstructure will be assessed by fiber tracking with diffusion tensor imaging (DTI) and high angular resolution diffusion imaging (HARDI);scalp-recorded EEG and event- related potentials (ERPs) will reflect the synchrony of brain electrical potentials across large cerebral networks and their connectivity;intrinsic and task-related functional connectivity will be identified with functional MRI (fMRI and fcMRI) using both blood oxygen level dependent (BOLD) and noninvasive cerebral blood flow (CBF) acquired with Pulse Continuous Arterial Spin Labeling (PCASL). Knowledge of the extent and specificity of connectivity dysfunction in alcoholism forms a basis for targeting specific rehabilitation strategies and consideration of new treatment approaches. The proposal will study alcoholic men and women and age- and sex-matched nonalcoholic comparison groups with three specific aims, each with explicit testable hypotheses:
Specific Aim 1 : To probe intrinsic functional networks using resting state fcMRI and PCASL and task- activated fMRI and PCASL to measure changes in regional BOLD and CBF activity.
Specific Aim 2 : To probe neurocircuitry with resting EEG coherence and ERP time-frequency analyses of a visual GO/NOGO task and multiple component analyses of a conflict resolution task.
Specific Aim 3 : To determine the extent of alcoholism-induced degradation of white matter circuitry connecting nodes of the task-activated and intrinsic networks using HARDI quantitative fiber tracking. Exploratory analyses will examine the role of age, sex, family history of alcoholism, length of sobriety, smoking, education, intelligence, and impulsivity in adaptation to alcoholism-induced brain connectivity disruption.

Public Health Relevance

Advanced structural, functional, and electrophysiological neuroimaging of brain connectivity networks will be used to further knowledge about the unique neuroadaptation of the human brain to the injury caused by chronic alcoholism. Knowledge of the extent and specificity of brain dysfunction in alcoholism forms a basis for targeting specific rehabilitation strategies and consideration of new treatment approaches.

Agency
National Institute of Health (NIH)
Institute
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Type
Research Project (R01)
Project #
5R01AA012388-14
Application #
8606712
Study Section
Special Emphasis Panel (ZRG1-IFCN-C (02))
Program Officer
Matochik, John A
Project Start
2000-08-01
Project End
2016-01-31
Budget Start
2014-02-01
Budget End
2015-01-31
Support Year
14
Fiscal Year
2014
Total Cost
$676,855
Indirect Cost
$306,654
Name
Sri International
Department
Type
DUNS #
009232752
City
Menlo Park
State
CA
Country
United States
Zip Code
94025
Schulte, T; Jung, Y-C; Sullivan, E V et al. (2016) The neural correlates of priming emotion and reward systems for conflict processing in alcoholics. Brain Imaging Behav :
Alba-Ferrara, L; Müller-Oehring, E M; Sullivan, E V et al. (2016) Brain responses to emotional salience and reward in alcohol use disorder. Brain Imaging Behav 10:136-46
Le Berre, Anne-Pascale; Müller-Oehring, Eva M; Kwon, Dongjin et al. (2016) Differential compromise of prospective and retrospective metamemory monitoring and their dissociable structural brain correlates. Cortex 81:192-202
Maumet, Camille; Auer, Tibor; Bowring, Alexander et al. (2016) Sharing brain mapping statistical results with the neuroimaging data model. Sci Data 3:160102
Sullivan, Edith V; Zahr, Natalie M; Rohlfing, Torsten et al. (2015) Cognitive demands during quiet standing elicit truncal tremor in two frequency bands: differential relations to tissue integrity of corticospinal tracts and cortical targets. Front Hum Neurosci 9:175
Cui, Changhai; Noronha, Antonio; Warren, Kenneth R et al. (2015) Brain pathways to recovery from alcohol dependence. Alcohol 49:435-52
Fama, Rosemary; Sullivan, Edith V (2015) Thalamic structures and associated cognitive functions: Relations with age and aging. Neurosci Biobehav Rev 54:29-37
Pfefferbaum, Adolf; Zahr, Natalie M; Mayer, Dirk et al. (2015) Dynamic responses of selective brain white matter fiber tracts to binge alcohol and recovery in the rat. PLoS One 10:e0124885
Müller-Oehring, Eva M; Sullivan, Edith V; Pfefferbaum, Adolf et al. (2015) Task-rest modulation of basal ganglia connectivity in mild to moderate Parkinson's disease. Brain Imaging Behav 9:619-38
Nichols, B Nolan; Pohl, Kilian M (2015) Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community. Neuropsychol Rev 25:356-68

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