Frontally mediated inhibitory processing and white matter microstructure: age and alcoholism effects.

paper Cited Public

Authors: Colrain, Ian M; Sullivan, Edith V; Ford, Judith M; Mathalon, Daniel H; McPherson, Selwyn-Lloyd; Roach, Brian J; Crowley, Kate E; Pfefferbaum, Adolf
Year: 2011
Journal: Psychopharmacology
PMID: 21161189
DOI: 10.1007/s00213-010-2073-7
PMCID: PMC3033525

Fig. 1

Grand mean averaged evoked responses from the time–voltage analysis from the GO (left panel) and NOGO (right panel) conditions. Data are presented for the Fz, Cz, and Pz sites for alcoholic (red) and control (blue) subjects

Fig. 2

Total power plots or the NOGO condition, from control (left) and alcoholics (right) subjects from Fz, Cz, and Pz. EEG frequency is indicated on the y-axis and spans 0 to 50 Hz. Time is indicated on the x-axis and spans −100 to 800 ms. The visual stimulus occurred at 0 ms. Higher levels of total power in the 50 ms window around the P3 peak, is shown in hot colors, as indicated on the color scale located to the far right of each plot. Total power data are displayed on a dB scale, which represents relative change in power as defined by: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {\hbox{Total powe}}{{\hbox{r}}_{{t,f }}} = 10\; \times \;{\hbox{lo}}{{\hbox{g}}_{{10}}}\left( {\frac{{{\text{powe}}{{\text{r}}_{{t,f}}}}}{{{\hbox{mean}}\left( {{\hbox{powe}}{{\hbox{r}}_{{{\rm{ - 100 to 0ms, }}f}}}} \right)}}} \right) $$\end{document}. Where t = data point in ms; f = frequency in Hz. The histogram displayed under each frequency plot displays the frequency distribution of P3 latencies for the subjects contributing to the averaged data

Fig. 3

Left panel representation of identified fiber tracts for the genu (red) and splenium (green) of the corpus callosum and the left and right cingulate bundles (yellow) superimposed on a “glass brain”. Right panel the relationships between NOGO Cz total δ power and transverse diffusivity in the left and right cingulate bundles. Relationships are presented for all subjects combined. Alcoholics (filled symbols) and control (open symbols) subjects are visually distinguished for purposes of illustration only

#	Section	Preview
0	Methods — Participants	Included in this analysis were ten alcoholics with contemporaneously collected EEG and DTI data and…
1	Methods — Participants	memory index121.1 (13.04)123 (12.62)n.s.Attention index110.2 (11.08)108.5 (19.23)n.s.The NART score…
2	Methods — Participants	As per our standard laboratory practice (e.g., Pfefferbaum et al. 2007), men and women with…
3	Methods — Clinical evaluation	All alcoholics and controls underwent a series of structured interviews to characterize alcohol…
4	Methods — Clinical evaluation	Relative to controls, alcoholics displayed a non-significant trend (p = 0.055) to be more likely to…
5	Methods — ERP task: stimulus presentation	Visual stimuli were presented on a Dell 18″ flat panel monitor, driven by an nVidia, GeForce…
6	Methods — EEG data collection	EEG data were collected from sites FP1, FP2, Fz, Cz, Pz, O1, and O2 using Grass 10 mm gold cup…
7	Methods — EEG time–voltage analysis	Continuous EEG data were low-pass filtered with a 12 Hz zero phase filter. ERP epochs were…
8	Methods — EEG time–voltage analysis	at Pz for each subject in the GO condition and Cz for each subject in the NOGO condition, with…
9	Methods — EEG time–frequency analyses	Continuous EEG data were high-pass filtered with a 1 Hz zero phase filter. Additional processing…
10	Methods — EEG time–frequency analyses	Fast Fourier Transform (FFT) of the wavelet by the FFT of the EEG signal. The inverse FFT of the…
11	Methods — EEG time–frequency analyses	After applying this method to every trial for the frequencies between 3 and 7 Hz at Fz, Cz, and Pz,…
12	Methods — EEG time–frequency analyses	In addition, total power was calculated for each individual trial and for each frequency and time…
13	Methods — EEG time–frequency analyses	The phase-locking factor and total power values that were entered into the statistical analysis were…
14	Methods — MRI acquisition and processing	MRI and DTI acquisition and analysis protocols were described previously (Pfefferbaum et al. 2007;…
15	Methods — Image processing	The structural data were passed through the FSL Brain Extraction Tool (Smith 2002) to extract the…
16	Methods — Warping to common coordinates	To achieve common anatomical coordinates across subjects, a population-average FA template (Sullivan…
17	Methods — Fiber tracking ROI identification	Landmarks were identified in three dimensions on the laboratory grand average FA image in common…
18	Methods — Fiber tracking ROI identification	The fiber tracking was performed on native, unwarped DTI data for each of the regions of interest…
19	Methods — Statistical analysis	Within each of the GO and NOGO conditions, P3 peak and P3 latency measures at Fz, Cz, and Pz were…

Name	Type
age	phenotype
aging	phenotype
alcohol	phenotype
alcohol abuse	phenotype
alcohol dependence	phenotype
alcoholism	phenotype
anterior cingulate cortex	anatomy
apparent diffusion coefficient	phenotype
Attention index local	phenotype
axial diffusivity	phenotype
axis I disorder	phenotype
bipolar disorder	phenotype
BMI	phenotype
body mass index	phenotype
brain	anatomy
cingulum	anatomy
control	cohort
controls	cohort
control subjects	cohort
corpus callosum	anatomy
corpus callosum splenium local	anatomy
Cz	anatomy
Cz delta total power local	phenotype
delta band	phenotype
delta power	phenotype
Delta total power local	phenotype
dementia	phenotype
Dementia cut-off local	phenotype
demyelination	phenotype
diagnosis	phenotype
EEG	phenotype
error-related negativity	phenotype
FA	phenotype
Ford et al. 2008 local	cohort
Fp1	anatomy
Fp2	anatomy
fractional anisotropy	phenotype
frontal cortex	anatomy
frontal cortical region local	anatomy
fronto-parietal network	anatomy
FSL Brain Extraction Tool local	drug
full-scale IQ	phenotype
Fz	anatomy
Gaussian window local	drug
genu	anatomy
Go condition	phenotype
GO condition local	cohort
Handedness	phenotype
High λT local	phenotype
Lambda_T in cingulate bundle local	phenotype
Lambda_T in left cingulate bundle local	phenotype
Lambda_T in right cingulate bundle local	phenotype
left cingulate bundle local	anatomy
Left cingulate bundle local	anatomy
Length of sobriety local	phenotype
Lifetime alcohol consumption local	phenotype
longitudinal diffusivity local	phenotype
Low δ power local	phenotype
memory	phenotype
Memory index local	phenotype
midline	anatomy
myelin status local	phenotype
NART IQ local	phenotype
National Adult Reading Test local	phenotype
neurological disorders	phenotype
NoGo condition	phenotype
NOGO condition local	cohort
NoGo P3	phenotype
NOGO P3 amplitude local	phenotype
NOGO P3 generation local	phenotype
Non-alcohol substance dependence local	phenotype
offspring of alcoholics	cohort
ORP	phenotype
P3 amplitude	phenotype
P3 amplitude at Cz local	phenotype
P3 component	phenotype
P3 latency	phenotype
P3 peak latency local	phenotype
parietal cortical region local	anatomy
Performance IQ	phenotype
Phase-locking factor local	phenotype
pons	anatomy
population-average FA template local	anatomy
posterior corona radiata local	anatomy
posterior region	anatomy
posterior white matter local	anatomy
Premorbid IQ	phenotype
Pz	anatomy
radial diffusivity	phenotype
reaction time	phenotype
reduced FA	phenotype
response inhibition	phenotype
right cingulate bundle local	anatomy
Right cingulate bundle local	anatomy
San Francisco Bay Area outpatient substance abuse treatment centers local	cohort
Scalp region local	anatomy
schizophrenia	phenotype
sex	phenotype
socioeconomic status	phenotype
splenium	anatomy
superior cingulate bundles local	anatomy
superior corona radiata local	anatomy
theta band	phenotype
theta oscillations	phenotype
total power	phenotype
total δ power local	phenotype
transverse diffusivity local	phenotype
transverse diffusivity (λT) local	phenotype
Verbal IQ local	phenotype
WASI VIQ local	phenotype
Wavelet local	drug
Wechsler Abbreviated Scale of Intelligence	drug
Wechsler Memory Scale local	phenotype
Wechsler Memory Scale - Revised local	phenotype
white matter	anatomy
white matter degradation local	phenotype
White matter fiber systems local	anatomy
WMS-R General memory index local	phenotype
α frequency EEG activity local	phenotype
δ total power local	phenotype
δ total power at Cz local	phenotype
θ frequency oscillations local	phenotype

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In this knowledge base

Title	Year	PMID
Association of Drinking Problems and Duration of Alcohol Use to Inhibitory Control in Nondependent Young Adult Social Drinkers.	2016	26833431
Delta, theta, and alpha event-related oscillations in alcoholics during Go/NoGo task: Neurocognitive deficits in execution, inhibition, and attention processing.	2016	26456730
Understanding alcohol use disorders with neuroelectrophysiology.	2014	25307587

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Cross-Species Co-analysis of Prefrontal Cortex Chronic Ethanol Transcriptome Responses in Mice and Monkeys.	Bogenpohl JW et al.	—	2019	→
Decreased event-related theta power and phase-synchrony in young binge drinkers during target detection: An anatomically-constrained MEG approach.	Correas A et al.	—	2019	→
Why cognitive event-related potentials (ERPs) should have a role in the management of alcohol disorders.	Campanella S et al.	—	2019	→
Context-Specific Inhibition is Related to Craving in Alcohol Use Disorders: A Dangerous Imbalance.	Stein M et al.	—	2018	→
Lower Prefrontal and Hippocampal Volume and Diffusion Tensor Imaging Differences Reflect Structural and Functional Abnormalities in Abstinent Individuals with Alcohol Use Disorder.	Pandey AK et al.	—	2018	→
Binge drinking affects brain oscillations linked to motor inhibition and execution.	López-Caneda E et al.	—	2017	→
Association of Drinking Problems and Duration of Alcohol Use to Inhibitory Control in Nondependent Young Adult Social Drinkers.	Hu S et al.	—	2016	→
Delta, theta, and alpha event-related oscillations in alcoholics during Go/NoGo task: Neurocognitive deficits in execution, inhibition, and attention processing.	Pandey AK et al.	—	2016	→
Sex differences in the relationship between heavy alcohol use, inhibition and performance monitoring: Disconnect between behavioural and brain functional measures.	Smith JL et al.	—	2016	→
Chronic intermittent ethanol induced axon and myelin degeneration is attenuated by calpain inhibition.	Samantaray S et al.	—	2015	→
Family history of alcoholism and brain activation: commentary on "Increased forebrain activations in youths with family histories of alcohol and other substance use disorders performing a Go/No-Go task".	Colrain IM	—	2015	→
Neuropathology of alcoholism.	Sutherland GT et al.	—	2014	→
Sex differences in alcohol-related neurobehavioral consequences.	Nixon SJ et al.	—	2014	→
Systematic review of ERP and fMRI studies investigating inhibitory control and error processing in people with substance dependence and behavioural addictions.	Luijten M et al.	—	2014	→
Understanding alcohol use disorders with neuroelectrophysiology.	Rangaswamy M et al.	—	2014	→
Electroencephalography of response inhibition tasks: functional networks and cognitive contributions.	Huster RJ et al.	—	2013	→
Evidence of deficits in behavioural inhibition and performance monitoring in young female heavy drinkers.	Smith JL et al.	—	2013	→
Prefrontal white matter impairment in substance users depends upon the catechol-o-methyl transferase (COMT) val158met polymorphism.	Zhang X et al.	—	2013	→
Adolescence and parental history of alcoholism: insights from the sleep EEG.	Tarokh L et al.	—	2012	→
Age-related changes in the neurophysiology of language in adults: relationship to regional cortical thinning and white matter microstructure.	Kemmotsu N et al.	—	2012	→
White matter fiber compromise contributes differentially to attention and emotion processing impairment in alcoholism, HIV-infection, and their comorbidity.	Schulte T et al.	—	2012	→