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The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint

Published on Apr 1, 2019in NeuroImage 5.81
· DOI :10.1016/j.neuroimage.2019.01.080
Enrico Premi17
Estimated H-index: 17
(University of Brescia),
Vince Daniel Calhoun87
Estimated H-index: 87
(UNM: University of New Mexico)
+ 130 AuthorsMiren Zulaica1
Estimated H-index: 1
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Abstract
Abstract Frontotemporal Dementia (FTD) is preceded by a long period of subtle brain changes, occurring in the absence of overt cognitive symptoms, that need to be still fully characterized. Dynamic network analysis based on resting-state magnetic resonance imaging (rs-fMRI) is a potentially powerful tool for the study of preclinical FTD. In the present study, we employed a "chronnectome" approach (recurring, time-varying patterns of connectivity) to evaluate measures of dynamic connectivity in 472 at-risk FTD subjects from the Genetic Frontotemporal dementia research Initiative (GENFI) cohort. We considered 249 subjects with FTD-related pathogenetic mutations and 223 mutation non-carriers (HC). Dynamic connectivity was evaluated using independent component analysis and sliding-time window correlation to rs-fMRI data, and meta-state measures of global brain flexibility were extracted. Results show that presymptomatic FTD exhibits diminished dynamic fluidity, visiting less meta-states, shifting less often across them, and travelling through a narrowed meta-state distance, as compared to HC. Dynamic connectivity changes characterize preclinical FTD, arguing for the desynchronization of the inner fluctuations of the brain. These changes antedate clinical symptoms, and might represent an early signature of FTD to be used as a biomarker in clinical trials.
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References69
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Published on Mar 1, 2018in Human Brain Mapping 4.55
Ashkan Faghiri1
Estimated H-index: 1
,
Julia M. Stephen21
Estimated H-index: 21
(The Mind Research Network)
+ 2 AuthorsVince Daniel Calhoun87
Estimated H-index: 87
10 Citations Source Cite
Published on Dec 14, 2017in Nature Reviews Neuroscience 33.16
Andrea Avena-Koenigsberger8
Estimated H-index: 8
,
Bratislav Misic17
Estimated H-index: 17
,
Olaf Sporns78
Estimated H-index: 78
The brain comprises complex structural and functional networks, but much remains to be determined regarding how these networks support the communication processes that underlie neuronal computation. In this Review, Avena-Koenigsberger, Misic and Sporns discuss the network basis of communication dynamics in the brain.
53 Citations Source Cite
Published on Nov 1, 2017in Human Brain Mapping 4.55
Vince Daniel Calhoun87
Estimated H-index: 87
(The Mind Research Network),
Tor D. Wager67
Estimated H-index: 67
(CU: University of Colorado Boulder)
+ 6 AuthorsKent A. Kiehl55
Estimated H-index: 55
(The Mind Research Network)
19 Citations Source Cite
Published on Oct 1, 2017in NeuroImage 5.81
Maria Giulia Preti8
Estimated H-index: 8
(EPFL: École Polytechnique Fédérale de Lausanne),
Thomas A. W. Bolton5
Estimated H-index: 5
(EPFL: École Polytechnique Fédérale de Lausanne),
Dimitri Van De Ville40
Estimated H-index: 40
(EPFL: École Polytechnique Fédérale de Lausanne)
Resting-state functional magnetic resonance imaging (fMRI) has highlighted the rich structure of brain activity in absence of a task or stimulus. A great effort has been dedicated in the last two decades to investigate functional connectivity (FC), i.e. the functional interplay between different regions of the brain, which was for a long time assumed to have stationary nature. Only recently was the dynamic behaviour of FC revealed, showing that on top of correlational patterns of spontaneous fMR...
155 Citations Source Cite
Published on Sep 1, 2017in NeuroImage 5.81
F. de Pasquale5
Estimated H-index: 5
(University of Teramo),
Maurizio Corbetta70
Estimated H-index: 70
(UNIPD: University of Padua)
+ 1 AuthorsS. Della Penna13
Estimated H-index: 13
Abstract Spontaneous brain activity at rest is spatially and temporally organized in networks of cortical and subcortical regions specialized for different functional domains. Even though brain networks were first studied individually through functional Magnetic Resonance Imaging, more recent studies focused on their dynamic ‘integration’. Integration depends on two fundamental properties: the structural topology of brain networks and the dynamics of functional connectivity. In this scenario, co...
15 Citations Source Cite
Published on Jun 1, 2017in Brain 11.81
Enrico Premi17
Estimated H-index: 17
(University of Brescia),
Mario Grassi29
Estimated H-index: 29
(UNIPV: University of Pavia)
+ 24 AuthorsRobert Laforce15
Estimated H-index: 15
(Laval University)
Frontotemporal dementia is a heterogeneous neurodegenerative disorder with around a third of cases having autosomal dominant inheritance. There is wide variability in phenotype even within affected families, raising questions about the determinants of the progression of disease and age at onset. It has been recently demonstrated that cognitive reserve, as measured by years of formal schooling, can counteract the ongoing pathological process. The TMEM106B genotype has also been found to be a modi...
12 Citations Source Cite
Published on Jan 1, 2017in NeuroImage: Clinical 3.94
Suzee E. Lee17
Estimated H-index: 17
(UCSF: University of California, San Francisco),
Ana C. Sias4
Estimated H-index: 4
(UCSF: University of California, San Francisco)
+ 15 AuthorsMochtar Pribadi11
Estimated H-index: 11
(Semel Institute for Neuroscience and Human Behavior)
Hexanucleotide repeat expansions in C9ORF72 are the most common known genetic cause of familial and sporadic frontotemporal dementia and amyotrophic lateral sclerosis. Previous work has shown that patients with behavioral variant frontotemporal dementia due to C9ORF72 show salience and sensorimotor network disruptions comparable to those seen in sporadic behavioral variant frontotemporal dementia, but it remains unknown how early in the lifespan these and other changes in brain structure and fun...
28 Citations Source Cite
Published on Jan 1, 2017in Human Brain Mapping 4.55
Hilary A. Marusak9
Estimated H-index: 9
,
Vince Daniel Calhoun87
Estimated H-index: 87
+ 4 AuthorsMoriah E. Thomason35
Estimated H-index: 35
The human brain is highly dynamic, supporting a remarkable range of cognitive abilities that emerge over the course of development. While flexible and dynamic coordination between neural systems is firmly established for children, our understanding of brain functional organization in early life has been built largely on the implicit assumption that functional connectivity (FC) is static. Understanding the nature of dynamic neural interactions during development is a critical issue for cognitive ...
35 Citations Source Cite
Published on Aug 1, 2016 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
Anees Abrol1
Estimated H-index: 1
(The Mind Research Network),
Charlotte Chaze2
Estimated H-index: 2
(The Mind Research Network)
+ 1 AuthorsVince Daniel Calhoun87
Estimated H-index: 87
(The Mind Research Network)
Functional fMRI data are typically analyzed under the assumption that participants experience one long, continuous connectivity state throughout rest scan sessions. The chronnectome is a model that takes into account the temporal variance in connectivity throughout a scan session. In this work, we evaluate the repeatability of properties of functional network connectivity (FNC) dynamics assessed using sliding-windowed correlations in 28 independent age-matched large samples of 250 subjects. This...
9 Citations Source Cite
Published on Jul 1, 2016in NeuroImage 5.81
Barnaly Rashid5
Estimated H-index: 5
(UNM: University of New Mexico),
Mohammad R. Arbabshirani9
Estimated H-index: 9
(GHS: Geisinger Health System)
+ 4 AuthorsVince Daniel Calhoun87
Estimated H-index: 87
Abstract Recently, functional network connectivity (FNC, defined as the temporal correlation among spatially distant brain networks) has been used to examine the functional organization of brain networks in various psychiatric illnesses. Dynamic FNC is a recent extension of the conventional FNC analysis that takes into account FNC changes over short periods of time. While such dynamic FNC measures may be more informative about various aspects of connectivity, there has been no detailed head-to-h...
68 Citations Source Cite