Tuber Locations Associated with Infantile Spasms Map to a Common Brain
NetworkCohen AL, Mulder BPF, Prohl AK, et al. Ann Neurol. 2021;89: 726-739.
doi: 10.1002/ana.26015
Objective
Approximately 50% of patients with tuberous sclerosis complex develop infantile spasms,
a sudden onset epilepsy syndrome associated with poor neurological outcomes. An
increased burden of tubers confers an elevated risk of infantile spasms, but it remains
unknown whether some tuber locations confer higher risk than others. Here, we test
whether tuber location and connectivity are associated with infantile spasms.
Methods
We segmented tubers from 123 children with (n = 74) and without (n = 49) infantile
spasms from a prospective observational cohort. We used voxelwise lesion symptom mapping
to test for an association between spasms and tuber location. We then used lesion
network mapping to test for an association between spasms and connectivity with tuber
locations. Finally, we tested the discriminability of identified associations with
logistic regression and cross-validation as well as statistical mediation.
Results
Tuber locations associated with infantile spasms were heterogenous, and no single
location was significantly associated with spasms. However, >95% of tuber locations
associated with spasms were functionally connected to the globi pallidi and cerebellar
vermis. These connections were specific compared to tubers in patients without spasms.
Logistic regression found that globus pallidus connectivity was a stronger predictor of
spasms (odds ratio [OR] = 1.96, 95% confidence interval [CI] = 1.10-3.50,
P = .02) than tuber burden (OR = 1.65, 95% CI = .90-3.04,
P = .11), with a mean receiver operating characteristic area under
the curve of .73 (±.1) during repeated cross-validation.
Interpretation
Connectivity between tuber locations and the bilateral globi pallidi is associated with
infantile spasms. Our findings lend insight into spasm pathophysiology and may identify
patients at risk.
Commentary
West Syndrome is a devastating infantile and childhood epileptic encephalopathy
characterized by the development of epileptic spasms (ES).
The pathophysiology of ES is not well understood.
Untreated ES are associated with poor developmental outcome.
Chipaux et al suggest that spasms of focal onset have similar surgical outcomes to
those in other medically intractable focal epilepsies that undergo surgical treatment.
However, as all of us know, finding a “lesion” is not the same as identifying the
epileptogenic zone—especially if the lesion is extensive or multiple
lesions are present, as is common in tuberous sclerosis complex (TSC).
ES as a Network Disease
In traditional functional neuroanatomy, we are taught that a given lesion leads to
predictable symptoms based on established functions of the affected brain region. Despite
an association between tuber burden in TSC and ES, no single location in the cortex
predicts the development of ES.
Network science, which has seen a rapid growth in epilepsy research, might provide
some answers. Could it be that the disruption of an identifiable cerebral network can
predict ES where lesion-based functional neuroanatomy falls short?In the recent work by Cohen et al,
the authors applied a novel and exciting method of “lesion mapping” to a large
cohort of children with and without ES to identify the networks underlying the development
of ES. Cohen’s work extends the functional connectivity-based lesion mapping technique
described by Boes et al.
Specifically, Boes et al found that particular functional deficits can be better
predicted by an individual lesion’s functional connectivity than by its specific location
in the brain. Functional connectivity can be measured using low frequency fluctuations in
blood oxygenation level dependent signals. The lesion network mapping technique of Boes et
al involves a few logical steps. First, the three-dimensional volume of the lesion is
transferred onto a reference brain. Then the intrinsic connectivity of this lesion with
the rest of the brain is mapped using normative fMRI connectome data to determine a lesion
associated network. Finally, lesion-associated networks from several such lesions are
superimposed to look for common patterns of connectivity in patients with the symptom
complex of interest.Cohen et al.
have applied this concept of lesion network mapping to TSC using neuroimaging data
gathered for the TSC Autism Centre of Excellence Network (TACERN). TACERN is a multicentre
prospective study in which patients were enrolled in the first year of life and followed
longitudinally through 36 months. The authors studied 123 children with (n = 74) and
without (n = 49) ES. Overall, a higher tuber burden was associated with ES. Using an
automated tuber segmentation algorithm and voxelwise tuber-symptom (ES) mapping they did
not find any significant association between specific tuber location and ES (highest
predictive value of any tuber location for ES = 24%). Using the lesion network mapping
technique, however, Cohen et al found that >95% of the children with ES had tubers that
were functionally connected to the internal segments of the globus pallidi and lobule 8A
of the cerebellar vermis. After correcting for other confounders including tuber burden,
genetic etiology, and medication exposure, these functional connections remained a
significant predictor of ES with a high sensitivity that persisted across split brain
replications.While the relationship between ES and the regions identified by Cohen et al—the globus
pallidi and cerebellar vermis—is not immediately clear, prior research supports the
involvement of subcortical structures in the generation of ES.[5,8,9] In their MRI study, Harini et al
did find that >70% of patients with ES with structural acquired etiology
(hypoxic ischemic injury, for example) had evidence of involvement of the corpus callosum,
cortical and subcortical (basal ganglia, thalamus) structures. Greater than 50% of
patients with a structural developmental etiology for ES (eg malformations of cortical
development) had MRI evidence of abnormalities in the corpus callosum and cortical
structures. Previous studies by Moshe and Chugani’s group have also indicated interactions
between cortical and subcortical structures in the development of ES.[8,9]
Implications and Next Steps
Cohen et al.’s findings are yet more data points suggesting an interplay between cortical
and subcortical structures in the pathophysiology of ES. Their study demonstrated that
tuber distributions associated with ES map to consistent brain networks independent of
medication choice, mutation type, and tuber burden. We do not yet know whether these data
are specific only to TSC or can be extrapolated to other focal causes of ES such as
malformations of cortical development. The next place to look might be focal cortical
dysplasias type IIb, which are pathologically similar to tubers. Why brain regions with
negative connectivity to the globi pallidi and cerebellar vermis seem
to be the most predictive of ES also raises more questions than it answers. It is
important to remember that the negative connectivity is seen in healthy
individuals, and Cohen et al.’s study did not measure connectivity between the tubers in
these deep structures in TSC. Thus, how the presence of tubers in connected regions
influences the relationship with the globi pallidi and cerebellar vermis remains to be
determined. We do not know if Cohen et al.’s findings represent causation, compensation,
or downstream connectivity changes. The authors speculate that spiking activity at tubers
could further suppress activity in the globi pallidi, thus disrupting the
GABAergic outflow from the globi pallidi. If true, then could destructive lesions in the
same areas lead to an increase in outflow from the globi pallidi? And if
so, what are the consequences? Can knowledge of this negative functional relationship be
harnessed to guide lesionectomies and/or targets for deep brain stimulation, such as
specifically targeting the centromedian nuclei of the globus pallidus in TSC?A limitation of functional connectivity in children in general, and young children in
particular, is the lack of a robust functional connectome in these age groups. Boes et
al.’s original work and the present study by Cohen et al both make use of a large
functional connectivity dataset from young adults. Notably, however, Cohen et al were able
to replicate their findings using data from the Adolescent Brain Cognitive Development
9-year-old group connectome with strikingly similar findings. Still, we do not know how
congenital abnormalities of cortical development affect the connectome. Studies of early
childhood epilepsies would benefit from a robust connectome of the very young.All in all, the authors should be congratulated for thinking outside the proverbial box
in their ability to extend lesion network mapping previously used in stroke patients to a
group of highly vulnerable patients with a devastating epileptic encephalopathy like
ES.
Authors: Katrina Darke; Stuart W Edwards; Eleanor Hancock; Anthony L Johnson; Colin R Kennedy; Andrew L Lux; Richard W Newton; Finbar J K O'Callaghan; Christopher M Verity; John P Osborne Journal: Arch Dis Child Date: 2010-05 Impact factor: 3.791
Authors: Aaron D Boes; Sashank Prasad; Hesheng Liu; Qi Liu; Alvaro Pascual-Leone; Verne S Caviness; Michael D Fox Journal: Brain Date: 2015-08-10 Impact factor: 13.501
Authors: Alexander L Cohen; Brechtje P F Mulder; Anna K Prohl; Louis Soussand; Peter Davis; Mallory R Kroeck; Peter McManus; Ali Gholipour; Benoit Scherrer; E Martina Bebin; Joyce Y Wu; Hope Northrup; Darcy A Krueger; Mustafa Sahin; Simon K Warfield; Michael D Fox; Jurriaan M Peters Journal: Ann Neurol Date: 2021-01-21 Impact factor: 10.422