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Families that fire together smile together: Resting state connectome similarity and daily emotional synchrony in parent-child dyads
<span title="2017-02-28">2017</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a>
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We implemented a novel approach, which included connectome similarity analysis using resting state intrinsic networks of parent-child dyads as well as daily diaries measured across 14 days. ...
Despite emerging evidence suggesting a biological basis to our social tiles, our understanding of the neural processes which link two minds is unknown. ...
Thus, we propose that children's neural connectome is a psychological representation at the neural systems level, resulting from shared experiences with their primary caregiver. ...
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Clinical connectome fingerprints of cognitive decline
<span title="2021-06-08">2021</span>
<i title="Elsevier BV">
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Brain connectome fingerprinting is rapidly rising as a novel influential field in brain network analysis. ...
We propose a novel framework, Clinical Connectome Fingerprinting, to detect individual connectome features from clinical populations. ...
Supplementary materials Supplementary material associated with this article can be found, in the online version, at doi: 10.1016/j.neuroimage.2021.118253 . ...
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2021.118253">doi:10.1016/j.neuroimage.2021.118253</a>
<a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34116156">pmid:34116156</a>
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The progressive loss of brain network fingerprints in Amyotrophic Lateral Sclerosis predicts clinical impairment
[article]
<span title="2022-01-29">2022</span>
<i title="Cold Spring Harbor Laboratory">
medRxiv
</i>
<span class="release-stage" >pre-print</span>
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Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterised by functional connectivity alterations in both motor and extra-motor brain regions. ...
Here, we applied the Clinical Connectome Fingerprint (CCF) analysis to source-reconstructed magnetoencephalography (MEG) signals in a cohort of seventy-eight subjects: thirty-nine ALS patients and thirty-nine ...
The functional connectomes were obtained through the phase linearity measurement (PLM), a metric that estimates the synchrony level between pairs of MEG signals (Baselice et al., 2018) . ...
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Clinical connectome fingerprints of cognitive decline
[article]
<span title="2020-10-10">2020</span>
<i title="Cold Spring Harbor Laboratory">
biorxiv/medrxiv
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<span class="release-stage" >pre-print</span>
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Brain connectome fingerprinting is rapidly rising as a novel influential field in brain network analysis. ...
Hence, we propose a novel framework, Clinical Connectome Fingerprinting, to detect individual connectome features from clinical populations. ...
Supplementary materials Supplementary material associated with this article can be found, in the online version, at doi: 10.1016/j.neuroimage.2021.118253 . ...
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Classifying post-traumatic stress disorder using the magnetoencephalographic connectome and machine learning
<span title="2020-04-03">2020</span>
<i title="Springer Science and Business Media LLC">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tnqhc2x2aneavcd3gx5h7mswhm" style="color: black;">Scientific Reports</a>
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In the present study, we employed a machine learning-based classification framework using MEG neural synchrony to distinguish combat-related PTSD from trauma-exposed controls. ...
Testament to its robustness when distinguishing individuals from a heavily traumatised control group, these developments for a classification model for PTSD also provide a comprehensive machine learning-based ...
neural activity is essentially untapped in resting state paradigms. ...
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-020-62713-5">doi:10.1038/s41598-020-62713-5</a>
<a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32246035">pmid:32246035</a>
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Putting the "dynamic" back into dynamic functional connectivity
<span title="">2018</span>
<i title="MIT Press - Journals">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hjuah27335hxnos7w5tnkkihzy" style="color: black;">Network Neuroscience</a>
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The study of fluctuations in time-resolved functional connectivity is a topic of substantial current interest. ...
As the term "dynamic functional connectivity" implies, such fluctuations are believed to arise from dynamics in the neuronal systems generating these signals. ...
DISCUSSION The growth of interest in "dynamic" resting-state functional connectivity motivates a deeper understanding of synchronization dynamics in neural systems. ...
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<a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30215031">pmid:30215031</a>
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Individual variability in the human connectome maintains selective cross-modal consistency and shares microstructural signatures
[article]
<span title="2021-04-04">2021</span>
<i title="Cold Spring Harbor Laboratory">
bioRxiv
</i>
<span class="release-stage" >pre-print</span>
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This pattern is consistent across all modalities at varying degrees as shown by significant alignment between functional and structural connectome variabilities at several clusters of brain regions. ...
We demonstrated that regional differences in individual variability of structural and functional connectomes is characterized by higher variability in association cortices and lower variability in sensory ...
Similar to DNA fingerprinting, by encoding connections in the brain neural fingerprinting could reliably identify individuals at anatomical [1], structural [2, 3], functional [4] and electrophysiological ...
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2021.04.01.438129">doi:10.1101/2021.04.01.438129</a>
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<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210717161518/https://www.biorxiv.org/content/biorxiv/early/2021/04/04/2021.04.01.438129.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
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Fading of brain network fingerprint in Parkinson's disease predicts motor clinical impairment
[article]
<span title="2022-02-04">2022</span>
<i title="Cold Spring Harbor Laboratory">
medRxiv
</i>
<span class="release-stage" >pre-print</span>
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The clinical connectome fingerprint (CCF) was recently introduced as a way to assess brain dynamics and used to predict the cognitive decline in preclinical Alzheimer's disease. ...
Using source-reconstructed magnetoencephalography signals, we built functional connectomes and observed reduced identifiability in patients compared to healthy individuals in the beta band. ...
Participants were recorded during resting state with eyes closed. Two recordings, 3.5 minutes long, were separated by a short break roughly 2 minutes long. ...
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Neuronal Dynamics and Neuropsychiatric Disorders: Toward a Translational Paradigm for Dysfunctional Large-Scale Networks
<span title="">2012</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5lze265mrrcddlccx7zpfjyjwi" style="color: black;">Neuron</a>
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In recent years, numerous studies have tested the relevance of neural oscillations in neuropsychiatric conditions, highlighting the potential role of changes in temporal coordination as a pathophysiological ...
We shall focus on issues that we consider as particularly promising for a translational research program aimed at furthering our understanding of the origins of neuropsychiatric disorders and the development ...
By now, several EEG/MEG-studies have examined neural synchrony during cognitive functions and resting-state, supporting a role of altered neural synchrony in the pathophysiology of ASDs. ...
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Putting the "dynamic" back into dynamic functional connectivity
[article]
<span title="2017-08-28">2017</span>
<i title="Cold Spring Harbor Laboratory">
bioRxiv
</i>
<span class="release-stage" >pre-print</span>
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The study of fluctuations in time-resolved functional connectivity is a topic of substantial current interest. ...
As the term 'dynamic functional connectivity' implies, such fluctuations are believed to arise from dynamics in the neuronal systems generating these signals. ...
Discussion The growth of interest in "dynamic" resting state functional connectivity motivates a deeper understanding of synchronization dynamics in neural systems. ...
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Constructing Compact Signatures for Individual Fingerprinting of Brain Connectomes
<span title="2021-04-06">2021</span>
<i title="Frontiers Media SA">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wrk3kouosrhcxiprcbguskdipu" style="color: black;">Frontiers in Neuroscience</a>
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connectomes than those from two different subjects. ...
In this study, we present new results that identify specific parts of resting state and task-specific connectomes that are responsible for the unique signatures. ...
Since resting state analyses have shown that fluctuations at low frequencies are due to hemodynamic responses to neural activation, we apply a bandpass filter (0.008-0.1 Hz). ...
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High-frequency oscillations and the neurobiology of schizophrenia
<span title="">2013</span>
<i title="Servier International">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/emz24fzomfafzkl3c6pvmsxmra" style="color: black;">Dialogues in Clinical Neuroscience</a>
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Recent evidence has indicated that schizophrenia is associated with abnormal amplitude and synchrony of oscillatory activity, in particular, at high (beta/gamma) frequencies. ...
Neural oscillations at low- and high-frequency ranges are a fundamental feature of large-scale networks. ...
T r a n s l a t i o n a l r e s e a r c h ...
<span class="external-identifiers">
<a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24174902">pmid:24174902</a>
<a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3811102/">pmcid:PMC3811102</a>
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Classifying post-traumatic stress disorder using the magnetoencephalographic connectome and machine learning
[article]
<span title="2019-10-11">2019</span>
<i title="Cold Spring Harbor Laboratory">
medRxiv
</i>
<span class="release-stage" >pre-print</span>
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In the present study, we employed a machine learning-based classification framework using MEG neural synchrony to distinguish combat-related PTSD from trauma-exposed controls. ...
Testament to its robustness when distinguishing individuals from a heavily-traumatised control group, these developments for a classification model for PTSD also provide a comprehensive machine learning-based ...
dynamic neural activity is essentially untapped in 338 resting state paradigms. ...
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Functional connectivity fingerprints of the frontal eye fields and inferior frontal junction in the dorsal vs. ventral prefrontal cortex
[article]
<span title="2022-06-05">2022</span>
<i title="Cold Spring Harbor Laboratory">
bioRxiv
</i>
<span class="release-stage" >pre-print</span>
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We applied seed-based functional connectivity analyses to temporally high-resolving resting-state magnetoencephalography (MEG) recordings. ...
Moreover, while FEF is directly phase-coupled with the superior parietal lobe in the beta band, IFJa is directly phase-coupled with the middle and inferior temporal cortex in delta and gamma oscillations ...
ACKNOWLEDGMENTS This research is supported by Ministero degli Affari Esteri e della Cooperazione Internazionale (to O.S.) and Fondazione Cassa Di Risparmio Di Trento E Rovereto (to D.B). ...
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Stochastic synchronization of dynamics on the human connectome
[article]
<span title="2020-02-10">2020</span>
<i title="Cold Spring Harbor Laboratory">
bioRxiv
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This stochastic synchronization effect is found to be driven by the intrinsic hierarchy of neural timescales of the brain and the heterogeneous complex topology of the connectome. ...
Synchronization is a collective mechanism by which oscillatory networks achieve their functions. Factors driving synchronization include the network's topological and dynamical properties. ...
As a side note, shifts in the location of the critical point or being tuned to coupling strengths farther away from the critical point may be a fingerprint of suboptimal brain function or neurological ...
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