Shobhit Jain1, S Senthil Kumaran2, Anju Dhawan1, Raman Deep Pattanayak 1, and Raka Jain3
1Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India, 2Department of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 3National Drug Dependence Treatment Centre, All India Institute of Medical Sciences, New Delhi, India
Synopsis
Inhalants
are legal, inexpensive substances that are often abused by adolescents. This study
compared the BOLD changes in brain
associated with cue-induced craving in adolescent inhalant users (n=13) and healthy
controls (n=12) to elucidate the
neural mechanisms associated with cue-induced craving. The cases exhibited an increased activation of superior
occipital gyrus, inferior parietal lobule, cingulate gyrus, thalamus, and
culmen and a decreased activation of insula as compared to control group for craving
cues. Visual cue reactivity was associated with activation of the areas
responsible for visual perception, visuo-spatial attention and working memory,
control and motivation.
INTRODUCTION
Prevalence of inhalant abuse in the
age group 12-29 years has been reported to be around 10–25%[1,2]
Certain objects,
environments, emotions or pictures which are closely linked with the
naturalistic setting of use which is regularly associated with drug use may act
as drug cues, which may induce craving even in the absence of drug and may be influenced
by the severity of use rather than last dose or recent use[3]. The
study estimated BOLD and morphometric changes in the brain on cue-induced craving among adolescent inhalant users and
healthy controls.METHODS
Adolescents (aged 12-18 years) with inhalants as
their primary substance use, with current use (defined as at least one use within
past one month) were recruited from clinics. Controls were healthy adolescents
matched for gender and age (±2years; age range 12-18 years), who had not used
inhalants during their lifetime. Participants (both cases and controls) with any
substance use in preceding 48 hours (either by self report or by urine drug
screening), lifetime dependence on any
other drug (except tobacco), psychiatric disorder (using MINI-KID) except for
conduct disorder, low intellectual ability (using cut-off <5th
percentile Raven’s Coloured Progressive Matrices), neurological or medical
disorders, and psychotropic medications were excluded. Imaging was carried out on a 3T MR scanner
(Achieva 3.0T TX, M/s. Philips Medical Systems) and a 32-channel head coil. 3D TFE multi-shot T1W spin echo sequence was
acquired. Visual Cue Paradigm consisted
of eight cycles of active (pictures of adolescents using inhalants, either with plastic bag or cloth, both
alone and as part of group, in diverse
settings resembling real-life settings) and baseline (pictures of
adolescents in their naturalistic setting involved in day to day activities as studying, playing,
praying, eating, etc.). Data were processed using SPM12 for BOLD and CAT12
toolbox of SPM12 for T1.RESULTS
A total of 19 cases and 18 controls were initially
recruited, but after exclusion, a final sample of 13 cases and 12 controls were
taken up for study. Both the
groups were comparable with respect to place of residence (urban/ rural) and
religion, and controls had a significantly higher mean number of years of
education compared to cases (Table 1). There were no significant difference in
degree of handedness score (EHI score) and physical examination or laboratory
tests between cases and controls. All the study participants scored ≥5th percentile
in Raven's colored progressive matrices, however the percentile score for cases
was suggestive of grade IV ‘below average’ intellectual ability compared to
controls which was suggestive of grade III ‘average’ intellectual ability (t=-3.32,
df=22, p<0.01). All
(100%) selected cases had inhalant (volatile solvents) as primary substance of
use. As per DSM-IV-TR, 10 (83.3%) subjects met inhalant dependence and 1 (8.3%)
met abuse criteria. The mean amount of correction fluid and glue used per day
was approximately 29 ml (S.D.=12.5) and 60 ml (S.D.=40) respectively. Due to
lack of availability, only 33.3% used correction fluid in previous month. Apart
from fluid and glue, cases have never used any other types of inhalants. Mean
period of abstinence on inhalants before fMRI session was 6.33 days (S.D.=7.83).
On being exposed to
cue pictures (with respect to neutral pictures and baseline), cases exhibited differences
in BOLD activation in left hemispheric middle temporal gyrus, inferior frontal
gyrus and thalamus, right cerebral parahippocampal gyrus and inferior temporal
gyrus and healthy controls showed enhanced activation in left inferior
occipital gyrus and inferior parietal lobule, right hemispheric precuneus,
superior parietal lobule, middle frontal gyrus, fusiform gyrus, and postcentral
gyrus (Figure 1, Table 2). Total intracranial volume (p=0.042), gray matter (p=0.035) and cortical thickness (in middle, superior frontal gyrus) were significantly different between cases and controls.DISCUSSION and CONCLUSION
Exposure to cue pictures in inhalant users was
associated with activation of the areas involved in visual perception (superior
occipital gyrus), followed by visuospatial attention (superior occipital
gyrus, inferior parietal lobule, posterior cingulate, cerebellum) and working
memory (anterior nucleus of thalamus, posterior cingulate) followed by stimulation
of circuits related to control and motivational area. Cerebellum activation may
be attributed to its role as coordinator between these circuit and also play a
role in selective attention[4], as it presumably reflects lower
stimulus salience[5].
Activation of posterior
cingulate is known to be associated with visuospatial attention and information
processing[7,8] and correlated with the magnitude of arousal on
exposure to stimuli[8]. Reduced cortical thickness (figure 2) suggests altered attention network in inhalant users.
The study presented visual cue reactivity
associated with activation of the areas responsible for visual perception,
visuospatial attention, working memory, motivational area and cerebellum.
Acknowledgements
No acknowledgement found.References
1. Tikoo,
V.K., Dhawan, A., Pattanayak, R.D., Chopra, A., 2013. Assessment and pattern, profiles and correlates of substance use among children in India. Natl. Comm.
Prot. Child Rights NCPCR New Delhi.
2. White, V.M.,
Bariola, E., 2012. Australian Secondary School Students’ Use of Tobacco,
Alcohol, and Over-the-counter and Illicit Substances in 2011: Report. National
Drug Strategy, Department of Health and Ageing.
3. Khazaal, Y.,
Zullino, D., Billieux, J., 2012. The Geneva Smoking Pictures: development and
preliminary validation. Eur. Addict. Res. 18, 103–109.
4. Anderson,
C.M., Maas, L.C., deB Frederick, B., Bendor, J.T., Spencer, T.J., Livni, E.,
Lukas, S.E., Fischman, A.J., Madras, B.K., Renshaw, P.F., 2006. Cerebellar
vermis involvement in cocaine-related behaviors. Neuropsychopharmacology 31,
1318–1326.
5. Lou, M.,
Wang, E., Shen, Y., Wang, J., 2012. Cue-elicited craving in heroin addicts at different
abstinent time: an fMRI pilot study. Subst. Use Misuse 47, 631–639.
6. Grön, G.,
Wunderlich, A.P., Spitzer, M., Tomczak, R., Riepe, M.W., 2000. Brain activation
during human navigation: gender-different neural networks as substrate of
performance. Nat. Neurosci. 3, 404–408.
7. Vogt, B.A.,
Finch, D.M., Olson, C.R., 1992. Functional heterogeneity in cingulate cortex:
the anterior executive and posterior evaluative regions. Cereb. Cortex 2,
435–443.
8. Maddock, R.J., 1999.
The retrosplenial cortex and emotion: new insights from functional neuroimaging
of the human brain. Trends Neurosci. 22, 310–316.