Neuroscience: Making connections

Lehrer, Jonah

doi:10.1038/457524a

Cited by 35 publications

(19 citation statements)

References 6 publications

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“…Technological advances over the past decade have brought the promise of mapping virtually every synaptic connection within local circuits close to reality (Briggman and Denk, 2006; Smith, 2007; Helmstaedter et al, 2008; Lichtman and Sanes, 2008; Lehrer, 2009; Kleinfeld et al, 2011; Briggman and Bock, 2012; Marc et al, 2012; Morgan and Lichtman, 2013). This is has been termed microscale connectomics (Sporns et al, 2005).…”

Section: The Era Of Structural and Functional Connectomicsmentioning

confidence: 99%

Input clustering and the microscale structure of local circuits

DeBello

McBride

Nichols

et al. 2014

Front. Neural Circuits

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The recent development of powerful tools for high-throughput mapping of synaptic networks promises major advances in understanding brain function. One open question is how circuits integrate and store information. Competing models based on random vs. structured connectivity make distinct predictions regarding the dendritic addressing of synaptic inputs. In this article we review recent experimental tests of one of these models, the input clustering hypothesis. Across circuits, brain regions and species, there is growing evidence of a link between synaptic co-activation and dendritic location, although this finding is not universal. The functional implications of input clustering and future challenges are discussed.

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Section: The Era Of Structural and Functional Connectomicsmentioning

confidence: 99%

Input clustering and the microscale structure of local circuits

DeBello

McBride

Nichols

et al. 2014

Front. Neural Circuits

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“…It is unlikely that the connectome project can be tackled by a select few taking a top-down approach, as was possible in the elucidation of the human genome 54,55 . Instead, by tasking multiple groups with mapping discrete neural circuits, one can envision the draft of a connectome gradually emerging through stitching together these individual wiring diagrams (e.g., http://www.openconnectomeproject.org) 56–58 .…”

Section: Introductionmentioning

confidence: 99%

Whole-body tissue stabilization and selective extractions via tissue-hydrogel hybrids for high-resolution intact circuit mapping and phenotyping

et al. 2015

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To facilitate fine-scale phenotyping of whole specimens, we describe here a set of tissue fixation-embedding, detergent-clearing and staining protocols that can be used to transform excised organs and whole organisms into optically transparent samples within 1–2 weeks without compromising their cellular architecture or endogenous fluorescence. PACT (passive CLARITY technique) and PARS (perfusion-assisted agent release in situ) use tissue-hydrogel hybrids to stabilize tissue biomolecules during selective lipid extraction, resulting in enhanced clearing efficiency and sample integrity. Furthermore, the macromolecule permeability of PACT- and PARS-processed tissue hybrids supports the diffusion of immunolabels throughout intact tissue, whereas RIMS (refractive index matching solution) grants high-resolution imaging at depth by further reducing light scattering in cleared and uncleared samples alike. These methods are adaptable to difficult-to-image tissues, such as bone (PACT-deCAL), and to magnified single-cell visualization (ePACT). Together, these protocols and solutions enable phenotyping of subcellular components and tracing cellular connectivity in intact biological networks.

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“…Many previous findings in fMRI described above were focused on the dysfunctions of the circumscribed brain regions or FC changes between two different brain regions. However, the brain is a complex and advanced information processing system that coordinates different brain regions as a functional network ( Lehrer, 2009 ; Xia and He, 2017 ). Studies have demonstrated that the altered functions of patients with CID, such as cognition performance, emotion processing, and memory formation, are related to widely distributed brain regions and subnetworks ( Kay and Buysse, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Disrupted brain network topology in chronic insomnia disorder: A resting-state fMRI study

Chen

Guan

et al. 2018

NeuroImage: Clinical

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This study investigated the topological characteristics of brain functional networks in chronic insomnia disorder (CID) patients. The resting-state functional magnetic resonance imaging and graph theory analysis method were applied to investigate the brain functional connectome patterns among 45 CID patients and 32 healthy controls. The brain functional connectome was constructed by thresholding partial correlation matrices of 90 brain regions from an automated anatomical labeling atlas. The topologic properties of brain functional connectomes at both global and nodal levels were tested. The CID patients had decreased number of module (p = .014) and hierarchy (p = .038), and increased assortativity (p = .035). Furthermore, some brain regions located in the default mode network, dorsal attention network, and sensory-motor network in these patients showed altered nodal centralities. Within these areas, the node betweenness of right central paracentral lobule had positive correlation with the Pittsburgh Sleep Quality Index score (R = 0.319, p = .039). The results imply that functional disruptions of CID patients may be related to disruptions in global and regional topological organization of the brain functional connectome, and provide new and important insights to understand the pathophysiological mechanisms of CID.

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Neuroscience: Making connections

Cited by 35 publications

References 6 publications

Input clustering and the microscale structure of local circuits

Input clustering and the microscale structure of local circuits

Whole-body tissue stabilization and selective extractions via tissue-hydrogel hybrids for high-resolution intact circuit mapping and phenotyping

Disrupted brain network topology in chronic insomnia disorder: A resting-state fMRI study

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