Advanced lesion symptom mapping analyses and implementation as BCBtoolkit
GigaScience. 2018-02-08; 7(3):
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1. Gigascience. 2018 Mar 1;7(3):1-17. doi: 10.1093/gigascience/giy004.
Advanced lesion symptom mapping analyses and implementation as BCBtoolkit.
Foulon C(1)(2)(3), Cerliani L(1)(2)(3), Kinkingnéhun S(1), Levy R(2), Rosso
C(3)(4)(5), Urbanski M(1)(2)(6), Volle E(1)(2)(3), Thiebaut de Schotten
(1)Brain Connectivity and Behaviour Group, Sorbonne Universities, Paris France.
(2)Frontlab, Institut du Cerveau et de la Moelle épinière (ICM), UPMC UMRS 1127,
Inserm U 1127, CNRS UMR 7225, Paris, France.
(3)Centre de Neuroimagerie de Recherche CENIR, Groupe Hospitalier
Pitié-Salpêtrière, Paris, France.
(4)Abnormal Movements and Basal Ganglia team, Inserm U 1127, CNRS UMR 7225,
Sorbonne Universities, UPMC Univ Paris 06, Institut du Cerveau et de la Moelle
épinière, ICM, Paris, France.
(5)APHP, Urgences Cérébro-Vasculaires, Groupe Hospitalier Pitié-Salpêtrière,
(6)Medicine and Rehabilitation Department, Hôpitaux de Saint-Maurice,
Background: Patients with brain lesions provide a unique opportunity to
understand the functioning of the human mind. However, even when focal, brain
lesions have local and remote effects that impact functionally and structurally
connected circuits. Similarly, function emerges from the interaction between
brain areas rather than their sole activity. For instance, category fluency
requires the associations between executive, semantic, and language production
Findings: Here, we provide, for the first time, a set of complementary solutions
for measuring the impact of a given lesion on the neuronal circuits. Our methods,
which were applied to 37 patients with a focal frontal brain lesions, revealed a
large set of directly and indirectly disconnected brain regions that had
significantly impacted category fluency performance. The directly disconnected
regions corresponded to areas that are classically considered as functionally
engaged in verbal fluency and categorization tasks. These regions were also
organized into larger directly and indirectly disconnected functional networks,
including the left ventral fronto-parietal network, whose cortical thickness
correlated with performance on category fluency.
Conclusions: The combination of structural and functional connectivity together
with cortical thickness estimates reveal the remote effects of brain lesions,
provide for the identification of the affected networks, and strengthen our
understanding of their relationship with cognitive and behavioral measures. The
methods presented are available and freely accessible in the BCBtoolkit as
supplementary software .
PMID: 29432527 [Indexed for MEDLINE]