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Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity

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TLDR
In this article, the authors show that every individual has a unique pattern of functional connections between brain regions, which act as a fingerprint that can accurately identify the individual from a large group.
Abstract
This study shows that every individual has a unique pattern of functional connections between brain regions. This functional connectivity profile acts as a ‘fingerprint’ that can accurately identify the individual from a large group. Furthermore, an individual's connectivity profile can predict his or her level of fluid intelligence.

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The ebb and flow of attention: Between-subject variation in intrinsic connectivity and cognition associated with the dynamics of ongoing experience

TL;DR: A paradigm in which participants intermittently responded to external events across two conditions that systematically vary in their need for updating working memory was developed, linking attention systems to the maintenance of task‐relevant information, and the default mode network to supporting experiences with vivid detail.
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Dynamic changes of amplitude of low-frequency fluctuations in patients with generalized anxiety disorder.

TL;DR: Insight is provided into the brain dysfunction of GAD from the perspective of dynamic local brain activity, highlighting the important role of dALFF variability in understanding neurophysiological mechanisms and potentially informing the diagnosis of Gad.
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Investigations into within- and between-subject resting-state amplitude variations.

TL;DR: The investigation of resting state amplitudes in two large‐scale studies suggests that network amplitude is a source of significant variability both across subjects, and within subjects on a within‐session timescale.
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The cerebral basis of Parkinsonian tremor: A network perspective.

TL;DR: Evidence will be discussed for the idea that parkinsonian tremor results from increased interactions between the basal ganglia and the cerebello‐thalamo‐cortical circuit, driven by altered dopaminergic projections to nodes within both circuits, and modulated by context‐dependent factors, such as psychological stress.
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Correspondence between evoked and intrinsic functional brain network configurations.

TL;DR: It is demonstrated that differences between intrinsic and task‐evoked brain networks are characterized by a task‐general shift in high‐connectivity hubs from primarily sensorimotor/auditory processing areas during the intrinsic state to executive control/salience network areas during task performance.
References
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Journal ArticleDOI

Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain

TL;DR: An anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute was performed and it is believed that this tool is an improvement for the macroscopical labeling of activated area compared to labeling assessed using the Talairach atlas brain.
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Complex network measures of brain connectivity: uses and interpretations.

TL;DR: Construction of brain networks from connectivity data is discussed and the most commonly used network measures of structural and functional connectivity are described, which variously detect functional integration and segregation, quantify centrality of individual brain regions or pathways, and test resilience of networks to insult.
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The organization of the human cerebral cortex estimated by intrinsic functional connectivity

TL;DR: In this paper, the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI data from 1,000 subjects and a clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex.
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