TY - JOUR
T1 - Structural brain network analysis in families multiply affected with bipolar I disorder
AU - Forde, Natalie J.
AU - O'Donoghue, Stefani
AU - Scanlon, Cathy
AU - Emsell, Louise
AU - Chaddock, Chris
AU - Leemans, Alexander
AU - Jeurissen, Ben
AU - Barker, Gareth J.
AU - Cannon, Dara M.
AU - Murray, Robin M.
AU - McDonald, Colm
PY - 2015/10/30
Y1 - 2015/10/30
N2 - Disrupted structural connectivity is associated with psychiatric illnesses including bipolar disorder (BP). Here we use structural brain network analysis to investigate connectivity abnormalities in multiply affected BP type I families, to assess the utility of dysconnectivity as a biomarker and its endophenotypic potential. Magnetic resonance diffusion images for 19 BP type I patients in remission, 21 of their first degree unaffected relatives, and 18 unrelated healthy controls underwent tractography. With the automated anatomical labelling atlas being used to define nodes, a connectivity matrix was generated for each subject. Network metrics were extracted with the Brain Connectivity Toolbox and then analysed for group differences, accounting for potential confounding effects of age, gender and familial association. Whole brain analysis revealed no differences between groups. Analysis of specific mainly frontal regions, previously implicated as potentially endophenotypic by functional magnetic resonance imaging analysis of the same cohort, revealed a significant effect of group in the right medial superior frontal gyrus and left middle frontal gyrus driven by reduced organisation in patients compared with controls. The organisation of whole brain networks of those affected with BP I does not differ from their unaffected relatives or healthy controls. In discreet frontal regions, however, anatomical connectivity is disrupted in patients but not in their unaffected relatives.
AB - Disrupted structural connectivity is associated with psychiatric illnesses including bipolar disorder (BP). Here we use structural brain network analysis to investigate connectivity abnormalities in multiply affected BP type I families, to assess the utility of dysconnectivity as a biomarker and its endophenotypic potential. Magnetic resonance diffusion images for 19 BP type I patients in remission, 21 of their first degree unaffected relatives, and 18 unrelated healthy controls underwent tractography. With the automated anatomical labelling atlas being used to define nodes, a connectivity matrix was generated for each subject. Network metrics were extracted with the Brain Connectivity Toolbox and then analysed for group differences, accounting for potential confounding effects of age, gender and familial association. Whole brain analysis revealed no differences between groups. Analysis of specific mainly frontal regions, previously implicated as potentially endophenotypic by functional magnetic resonance imaging analysis of the same cohort, revealed a significant effect of group in the right medial superior frontal gyrus and left middle frontal gyrus driven by reduced organisation in patients compared with controls. The organisation of whole brain networks of those affected with BP I does not differ from their unaffected relatives or healthy controls. In discreet frontal regions, however, anatomical connectivity is disrupted in patients but not in their unaffected relatives.
KW - Diffusion-weighted MRI
KW - Endophenotype
KW - Familial bipolar disorder
KW - Network analysis
UR - http://www.scopus.com/inward/record.url?scp=84941711135&partnerID=8YFLogxK
U2 - 10.1016/j.pscychresns.2015.08.004
DO - 10.1016/j.pscychresns.2015.08.004
M3 - Article
C2 - 26382105
AN - SCOPUS:84941711135
SN - 0925-4927
VL - 234
SP - 44
EP - 51
JO - Psychiatry Research - Neuroimaging
JF - Psychiatry Research - Neuroimaging
IS - 1
ER -