Brain modifications after acute alcohol consumption analyzed by resting state fMRI
Federica Spagnolli
a,
⁎, Roberto Cerini
a
, Nicolò Cardobi
a
, Marco Barillari
a
, Paolo Manganotti
b
,
Silvia Storti
b
, Roberto Pozzi Mucelli
a
a
Department of Radiology, “Gianbattista Rossi” Hospital, University of Verona, 37134 Verona, Italy
b
Department of Neurological, Neuropsychological, Morphological and Movement Sciences, Section of Clinical Neurology, “Gianbattista Rossi” Hospital, University of Verona,
37134 Verona, Italy
abstract article info
Article history:
Received 18 November 2012
Revised 14 March 2013
Accepted 9 April 2013
Keywords:
fMRI
Resting state
Alcohol
Visual system
Reward brain circuitry
Independent component analysis
Resting-state functional magnetic resonance imaging (fMRI) is a recent breakthrough in neuroimaging
research able to describe “in vivo” the spontaneous baseline neuronal activity characterized by blood oxygen
level dependent (BOLD) signal fluctuations at slow frequency (0.01–0.1 Hz) that, in the absence of any task,
forms spatially distributed functional connectivity networks, called resting state networks (RSNs). The aim of
this study was to investigate, in the young and healthy population, the changing of the RSNs after acute
ingestion of an alcohol dose able to determine a blood concentration (0.5 g/L) that barely exceeds the legal
limits for driving in the majority of European Countries. Fifteen healthy volunteers underwent two fMRI
sessions using a 1.5 T MR scanner before and after alcohol oral consumption. The main sequence acquired was
EPI 2D BOLD, one per each session. To prevent the excessive alcohol consumption the subjects underwent
the estimation of blood rate by breath test and after the stabilization of blood alcohol level (BAL) at 0.5 g/L the
subjects underwent the second fMRI session. Functional data elaboration was carried out using the
probabilistic independent component analysis (PICA). Spatial maps so obtained were further organized, with
MELODIC multisession temporal concatenation FSL option, in a cluster representing the group of pre-alcohol
sessions and the group of post-alcohol sessions, followed by the dual regression approach in order to evaluate
the increase or decrease in terms of connectivity in the RSNs between the two sessions at group level.
The results we obtained reveal that acute consumption of alcohol reduces in a significant way the BOLD signal
fluctuations in the resting brain selectively in the sub-callosal cortex (SCC), in left temporal fusiform cortex
(TFC) and left inferior temporal gyrus (ITG), which are cognitive regions known to be part of the reward brain
network and the ventral visual system.
© 2013 Elsevier Inc. All rights reserved.
1. Introduction
Resting-state functional magnetic resonance imaging (fMRI) is a
recent breakthrough in neuroimaging research able to describe “in
vivo” the complex functional architecture of the brain at rest.
Several evidences support a spontaneous and continuous baseline
neuronal activity characterized by blood oxygen level dependent
(BOLD) [1] signal fluctuations at slow frequency (0.01–0.1 Hz) [2]
that, in the absence of any input and output task, forms spatially
distributed functional connectivity networks, called resting state
networks (RSNs). Each RSN is characterized by its own specific
temporal and spatial signal coherence [3,4] and is specialized in a
distinct function, partially overlapping with those functional
networks well studied by neurophysiological means thanks to
active and passive tasks [5]. The major RSNs so far documented are
five (default mode, visual, auditory, sensory-motor and attentive
parietal–frontal networks) [6–11]. They are very sensitive to the
task, both cognitive and sensory-motor, and they can be modulated
by it in a selective way; therefore the attentive parietal–frontal
network is very sensitive to the performance able to modulate the
attentive state. RSNs are reliable and reproducible [12]; they
underlie a cortico-cortical structural connectivity visualized with
tractography by means of diffusion tensor imaging (DTI) [13–15]
and are correlated with electro-encephalographic (EEG) [16,17]
rhythms. The best knowledge of the functional architecture of
the healthy brain at rest allows to detect a change of it to a
physiological [18–23] pathological [24,25] or pharmacological
[26–28] alteration, even predicting emotional behaviours and
cognitive performances [29–31]. Thanks to its high spatial
resolution, BOLD fMRI is a non-invasive technique already
employed in drug research by means of a task-related design.
The effects of alcohol intoxication are most marked in situations
involving a stimulus that lead to a competition for processing
resources. Alcohol may have specific effects on brain processing
involving cognitive control of conflicting stimuli, interfering with
Magnetic Resonance Imaging 31 (2013) 1325–1330
⁎ Corresponding author.
E-mail address: federicaspagnolli@libero.it (F. Spagnolli).
0730-725X/$ – see front matter © 2013 Elsevier Inc. All rights reserved.
http://dx.doi.org/10.1016/j.mri.2013.04.007
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