Benito de Celis Alonso1, Silvia Sandra Hidalgo Tobón2,3, Eduardo Barragán Pérez4, and Pilar Dies Suarez2
1Faculty of Mathematical and Physical Sciences, BUAP, Puebla, Mexico, 2Imaging Department, Hospital Infantil de México, Federico Gómez, Mexico City, Mexico, 3UAM Iztapalapa, Mexico City, Mexico, 4Neurology Department, Hospital Infantil de México, Federico Gómez, Mexico City, Mexico
Synopsis
Impulsivity is
a multi-dimensional construct of behaviors. Here we compared two cohorts of impulsive and
control children. Both groups underwent a functional magnetic resonance imaging
experiment which food related odor cues. Activations were larger for the
impulsive group in: temporal lobe, cerebellum, supplementary motor area,
frontal cortex, medial cingulate cortex, insula, precuneus, precentral,
para-hippocampal & clacarine. Connectivity results showed that emotional reward
based on the smell and processed in temporal lobes was the main cue driving impulsive
children. This was followed by a focused attention and sensations of comfort and
happiness modulated by precuneus and cingulum.
Introduction
Impulsivity is a multi-dimensional construct of
behaviors which include: ineffective impulse control, premature decision making
and inability to delay gratification (1). An impulsive child has increased possibilities of being a
gambler, abusing illegal substances like alcohol or indulging in binge eating. It is known that odor/smell is one of
the principal cues for the appearance and control of appetite as well as
substance abuse (2). It is because of this that understanding the
neuropsychological correlates of impulsivity through a smell stimulus, is of
interest (3).Methods
Here we compared two cohorts (n=18 each) of
impulsive and control children with ages between 10 and 16 years (age, sex and BMI
matched). Impulsivity was confirmed through Go/No-Go Task tests. Both groups underwent
a functional magnetic resonance imaging (fMRI) experiment in which odor cues were
presented to them (Chocolate, Clove and Lavender). Chocolate presented a high
calorie content and high reward meal, Clove represented healthy foods and
Lavender a non-related to food smell. Differences in activated regions (BOLD
experiment) as well as inter regional correlations (Connectivity Experiment) presented
the different strategies that the two groups used to process odor related
stimuli. Paradigm: Volunteers
for this study visited the research center in two occasions. During their first
visit, anthropometric measurements, Go/No-Go task psychological testing and
clinical evaluations were performed. If volunteers fulfilled all inclusion
criteria for this study, they then visited the MR unit on a second day. All
imaging was performed between 7 and 10 am in the mourning and patients were
asked to have had a light breakfast (they were not fasted). Once in the MR,
volunteers underwent: MR sequence preparations, fMRI studies (BOLD) and
anatomical imaging. The whole imaging process took a total time of 20 minutes
approximately. MRI: Imaging
was performed in a 1.5T Philips-Intera Achevia scanner with a NOVA gradient
system set. Head birdcage coil with SENSE technology and 8 channels were used
for fast imaging. BOLD imaging consisted of the acquisition of 278 brain
volumes with a TR=3000 ms. An T2* weighted gradient echo sequence was used with
TE=30 ms, flip angle=80°. 35 consecutive axial slices (without gaps) covering
the whole infant brain from frontal lobe to cerebellum. Image resolution of 3.05
mm in plane and 4.5 mm thick were obtained with 80*80*35 matrixes. Anatomical
images matched the position and volume studied by those of BOLD imaging and
were obtained with a fast T1 weighted gradient echo sequence (TR=307.81
ms, TE =2.48 ms, flip angle=80°). Resolution for these images was 0.38*0.38*4.5
mm with a 640*640*35 matrix. Four whole
brain acquisitions were obtained and averaged (NE=4). Image Analysis: MR images were analyzed using Matlab. Two kinds of analysis were performed. First,
for the BOLD study of brain areas activated using SPM12. For connectivity
analysis, Conn software was used.Results
This study showed that the impulsive group had larger BOLD
activations (see Figure 1) than the control in: Temporal lobe, cerebellum,
supplementary motor area, frontal cortex, medial cingulate cortex, insula,
precuneus, precentral, para-hippocampal & clacarine. Connectivity of these
regions was then assessed and showed large amount of differential connections
for the chocolate smell in: Precuneus, temporal and frontal lobes, cingulum,
piriform and somatosensory cortex. Connectivity results are presented divided
into these structures for clarity (Figure 2). It can be seen for the
chocolate smell that impulsive volunteers presented reduced connectivity from piriform
cortex to frontal and limbic structures even if their BOLD activation was
larger. This reduced logical inputs from frontal lobe to the network. Precuneus
(self-awareness, reward, happiness ad comfort) played a pivotal role with
connections to temporal lobes (emotional memory and smell processing) implying
that reward was anticipated by the chocolate smell for impulsive children but
not in the control group. Cingulum together
with precuneus forms part of default network and their function is
anticorrelated with it. So large activations and connectivity implied these
regions helped impulsive children focus on the chocolate smell (not the other
odor cues).Discussion & Conclusions:
In the end we propose that impulsive subjects
have a problem in smell regulation at a neural circuit level. Impulsive
children don´t make rational decisions (no connectivity to frontal cortex) or
integrate/decipher information from other senses (touch, vision, auditory, etc.
in parietal cortex) or smell (piriform cortex) properly. They work based on emotional
memories of reward stored in temporal lobes, and auto-perceived sensations of
happiness comfort and wellbeing processed in precuneus. Finally, precuneus
together with the cingulum; keep impulsive subjects focused on the smell.Acknowledgements
NoneReferences
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2. Yeomans, M.R., Olfactory influences on appetite and satiety in humans. Physiol
Behav, 2006. 89(1): p. 10-4.
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al., Alcohol Craving and Relapse
Prediction: Imaging Studies, in Advances
in the Neuroscience of Addiction, C.M. Kuhn and G.F. Koob, Editors. 2010:
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