2018
DOI: 10.3390/mi9090428
|View full text |Cite
|
Sign up to set email alerts
|

Opportunities and Challenges for Single-Unit Recordings from Enteric Neurons in Awake Animals

Abstract: Advanced electrode designs have made single-unit neural recordings commonplace in modern neuroscience research. However, single-unit resolution remains out of reach for the intrinsic neurons of the gastrointestinal system. Single-unit recordings of the enteric (gut) nervous system have been conducted in anesthetized animal models and excised tissue, but there is a large physiological gap between awake and anesthetized animals, particularly for the enteric nervous system. Here, we describe the opportunity for a… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
6
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 7 publications
(6 citation statements)
references
References 148 publications
0
6
0
Order By: Relevance
“…Muscle contractions cause nonrigid, nonuniform movement significantly larger than the field of view. 2,26 While motion artifacts due to muscle contraction are often confined to the imaging plane, their nonuniformity renders obsolete rigid registration, and ganglia are inconsistently registered throughout the field of view. 27…”
Section: Planar Motionmentioning
confidence: 99%
See 1 more Smart Citation
“…Muscle contractions cause nonrigid, nonuniform movement significantly larger than the field of view. 2,26 While motion artifacts due to muscle contraction are often confined to the imaging plane, their nonuniformity renders obsolete rigid registration, and ganglia are inconsistently registered throughout the field of view. 27…”
Section: Planar Motionmentioning
confidence: 99%
“…Calcium imaging can provide insight into the functional circuits of the enteric nervous system 1 . However, contractions cause macroscale tissue displacements 2 and limit the conditions in which calcium imaging provides meaningful and reliable information. We describe a calcium image processing pipeline to quantify fluorescence in moving tissue, quantify performance on a synthetic dataset, demonstrate the efficacy of our methods on a variety of videos of unparalyzed colons, and apply our methods to reveal that the same population of GI neurons exhibit distinct patterns of activity following different modalities of stimulation.…”
Section: Introductionmentioning
confidence: 99%
“…For electrophysiological tools, closed-loop electrical stimulation devices are being used to treat epilepsy, deep brain stimulation is being assessed for efficacy to treat depression, spinal cord stimulators are used for inhibiting pain, and pacing electrodes are being evaluated for correcting GI motility disorders (67,68,88). Additionally, flexible microelectrodes are currently in development that can accommodate chronic implantation and monitoring of the target organ (4,84), including the ENS (8). Thus, one could envision a combined optogenetic and electrophysiological approach where a self-contained electrophysiological monitoring system detects abnormal motility or sensory neuronal activity and responds by triggering light stimulation to restore the targeted function.…”
Section: Future Applications Of Optogenetic In Combination With Electrophysiological Tools To Advance Neurogastroenterologymentioning
confidence: 99%
“…In general, these models can account for the mechanisms of acute injury to the network (e.g., primary axotomy, membrane permeability changes, receptor dysfunction) and secondary changes that can also trigger neuronal loss [18][19][20][21][22]. Despite the many experimental methods to explore neural activity at different scales (e.g., single unit recording, local field potential recordings representing the aggregate activity of neuronal ensembles, and high speed calcium imaging to explore neuronal activation in awake animals), it is challenging to develop a precise relationship between neurodegeneration and network dynamics with these techniques [23][24][25][26]. Furthermore, models are adept at manipulating network features which are less accessible experimentally.…”
Section: Introductionmentioning
confidence: 99%