The Emergence of Single Neurons in Clinical Neurology — TEI-tagged view

Cash, Hochberg · 2015 · neuroscience · doi:10.1016/j.neuron.2015.03.058 · full text at the source · TEI xml · tagged edition · index · concepts · authors
Where this record's text came from. faceted 2026-08 by reading the locally held text (xml); every evidence string verified as an exact substring of that text before merging. Claim type is 'prediction' on the strength of the abstract's forward-looking claim and the closing section on future technologies; there is a strong secondary critique element, stated verbatim as 'Remarkably, discussion of neuronal activity is largely absent in clinical neuroscience.' and as the observation that the only single-neuron references in classic neurology textbooks concern peripheral nerves - the schema allows one claim type, so the critique is recorded here rather than dropped. Claim relations is EMPTY: the review cites hundreds of studies but never positions its own argument against a named prior work; the closest sentence, on Kuffler and Nicholls' 'From Neuron to Brain', is a rhetorical framing of the field rather than a relation this paper claims to that book, and rule 7 bars inferring a relation from a bare citation. 2026-08-12 and 2026-08-15 schema-0.3 passes: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
This record’s own method is review, and the tags below follow from that. A review’s findings, quantities and statistics are things stated IN this paper, and some of them report results obtained elsewhere. No tag on this page names a different author. Measured across every review in this corpus, 81% of a review’s tags carry no citation at all — most of them are the review speaking. The corpus does not adjudicate the rest: read an unmarked tag as a claim this paper makes, not necessarily one it made first.
Other fields define these differently the same word, defined another way in another discipline
gold standard 4 fields · clustering 3 fields · electroencephalography 2 fields
Tags on this paper every tag the record carries, whether or not the words occur in the text below — a number is how many papers in the corpus carry that tag; a tag with no number is unique to this paper
single neuron single unit3 action potential2 clinical neuroscience electroencephalography4 brain-computer interface2 Utah array hypersynchrony high frequency oscillations deep brain stimulating electrodes subthalamic nucleus propofol3 slow oscillations local field potentials7 sparse encoding animal models2 gold standard11 review319

Our tag layer for this paper

Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenonsingle-neuron recording in clinical neurology— “Single neuron actions and interactions are the sine qua non of brain function, and nearly all diseases and injuries of the central nervous system trace their clinical sequelae to neuronal dysfunction or failure.”
claim-typeprediction— “Using direct interfaces with the nervous system, millisecond-scale information will soon be extracted from single neurons in clinical environments, supporting personalized treatment of neurologic and psychiatric disease.”
method — evidence— “In this review we focus on single neuronal activity in restoring communication and motor control in patients suffering from devastating neurological injuries.”
object of study — evidence— “Single neuron actions and interactions are the sine qua non of brain function, and nearly all diseases and injuries of the central nervous system trace their clinical sequelae to neuronal dysfunction or failure. Remarkably, discussion of neuronal activity is largely absent in clinical neuroscience.”
research question — evidence— “This state of affairs is not surprising for many reasons. Arguably, much of the pathology that is seen in routine clinical practice such as stroke, trauma, inflammation, infection, and tumors, are not recognized or considered to be diseases of the individual neuron. Even motor neuron disease, demyelinating diseases, and other…
contribution — evidence— “The only references to single neuron activity and action potentials in searching through classic textbooks of neurology (e.g. Adams and Victor's 8 th edition, Ropper and Brown, eds. ( Ropper, AH; Brown, RJ; Brown, 2005 )) are related to peripheral nerves.”
transferfrom non-human primate motor physiology: the encoding of movement in M1, transferred to human brain-computer interfaces - the transfer the paper says IS licensed, because the anatomy is evidently similar— “Largely through research with non-human primates, a foundation was developed for understanding the anatomic and functional organization of primary motor cortex and other motor-related areas ( Evarts, 1966 , 1967 , 1968b , 1968a ; Fetz, 1969 ; DeLong, 1971 ; DeLong and Strick, 1974 ; Tanji and Evarts, 1976 ; Weinrich and Wise, 1982…transfers[0]
transferfrom animal models of epilepsy: the transfer the paper says is NOT licensed, because the correspondence to human epilepsy is unclear— “Unlike the motor prosthesis approach in which the similarity between nonhuman primate M1 and human M1 is evident in the underlying anatomy (and, as now being demonstrated, physiology), the relationship between any given animal model of epilepsy and the various forms of human epilepsy is unclear.”transfers[1]
transferfrom computer science and machine learning: clustering algorithms, dimensionality reduction and point-process methods, imported to make terabyte-scale spike data tractable— “First amongst these are new methods for extracting spiking information from large data sets. These ‘clustering’ algorithms are now available in a variety of different forms with optimization for high speed (essentially real-time) and for working with particularly large data sets.”transfers[2]
mechanismClinical neglect of the single neuron is explained by the prior unavailability of technology able to target or measure small groups of neurons— “Perhaps even more important to the general clinical neglect of the single neuron is the previous absence of relevant technology.”mechanisms[0]
mechanismPropofol produces unconsciousness by phase-locking cortical neurons to local slow oscillations that are out of phase across regions, fragmenting long-range cortical communication— “Single unit recordings during loss of consciousness demonstrated that cortical neurons become phase-locked to local slow oscillations, but are out of phase with distant cortical areas, producing a fragmented network in which long-range cortical communication is disrupted.”mechanisms[1]
mechanismLoss of dopamine erodes the separation normally maintained between basal ganglia subcircuits, so circuit elements merge into larger hypersynchronised networks that drive motor cortical synchrony— “When that dopaminergically maintained separation erodes circuit elements form larger, hypersynchronized networks”mechanisms[2]
mechanismthe absence is attributed to instrument resolution: MRI, EEG and MEG cannot resolve activity at the scale of the action potential— “While the spatial resolution of modern structural and functional MRI, the temporal sensitivity of electroencephalography (EEG) or magnetoencephalography (MEG) and the exploding capabilities of genetics and proteomics are remarkable, they are not capable of resolving neuronal activity at its most fundamental scale of the action potential and…mechanisms[3]
mechanismand to the absence of any intervention that could target small groups of neurons, let alone one— “Perhaps even more important to the general clinical neglect of the single neuron is the previous absence of relevant technology. Until recently there were essentially no diagnostic examinations or therapeutic interventions that could target modest groups of neurons let alone single neurons.”mechanisms[4]
mechanismand to the nature of the pathology: stroke, trauma, tumours are not diseases of an individual neuronmechanisms[5]
mechanismand to the confinement of the relevant physiology to animal models in a small subset of laboratories
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
mechanisms[6]
mechanismpropofol unconsciousness explained mechanistically: neurons phase-lock to local slow oscillations but fall out of phase with distant cortex, fragmenting the network
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mechanisms[7]
mechanismin Parkinson's, dopaminergic loss is hypothesised to erode the separation between basal ganglia subcircuits, which then hypersynchronise
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mechanisms[8]
mechanismsingle-unit firing patterns mark the boundaries of the STN and globus pallidus as the electrode advances, the one routine clinical use
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mechanisms[9]
critiques clinical neurology, neurosurgery and psychiatry, for the absence of single-neuron thinking
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claim_relations[0]
qualifies the canonical framing of epilepsy as a disorder of hypersynchrony and imbalanced excitation and inhibition
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claim_relations[1]
supports the use of intraoperative single-unit recording to localise DBS electrodes
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claim_relations[2]
supports slow-oscillation phase-locking as a mechanism of propofol-induced loss of consciousness
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claim_relations[3]
cites Gelbard-Sagiv et al. on hippocampal reactivation during free recall - a paper independently tagged in this corpus
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claim_relations[4]
sensesingle unit here means an isolated action potential train from one neuron, explicitly contrasted with the averaged multineuron signals of EEG and ECoG
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senses[0]
sensegold standard is used for single-unit recording in BASIC neurophysiology, in a paper arguing it is absent from clinical practice - the standard and the practice are different communities
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senses[1]
sensehypersynchrony, as a framing of epilepsy, is said to be accurate at a superficial level and to break down under finer measurement - a claim whose truth depends on resolution
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senses[2]
sensemodel, for epilepsy, is explicitly weaker than model for motor cortex: the primate-human M1 similarity is evident where the epilepsy correspondence is unclear
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senses[3]
notesingle neuron —same-as→ single unit — used interchangeably throughout; the second is the recorded proxy for the first, which is why the weight is not 1.0
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concept_edges[0]
weightsingle neuron —same-as→ single unit — 0.9
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concept_edges[0]
auditelectroencephalography —distinct-from→ action potential — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but EEG and MEG CANNOT RESOLVE activity at the scale of the action potential; distinct-from is loose.
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concept_edges[1]
noteelectroencephalography —distinct-from→ action potential — the key edge of the paper: EEG, MEG and MRI are NOT capable of resolving activity at the scale of the action potential. an instrument-scale exclusion, not a conceptual one
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concept_edges[1]
notepropofol —causes→ slow oscillations — RE-GROUNDS another row of this record: the old span named ONE endpoint.
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concept_edges[5]
weightpropofol —causes→ slow oscillations — 0.9
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concept_edges[5]
for which uselimitation — the technological coverage of the review: THERE ARE MANY IMPORTANT RESEARCH ENDEAVORS IN THIS FIELD WHICH ARE BEYOND THE SCOPE OF THIS REVIEW
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limitations[0]
for which uselimitation — the cognitive-neuroscience coverage: A COMPLETE EXPLORATION OF THESE MYRIAD TOPICS IS BEYOND THE SCOPE OF THIS REVIEW
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limitations[1]
for which uselimitation — clinical application specifically: THESE FINDINGS ARE INDEED NOT YET OF IMMEDIATE CLINICAL RELEVANCE
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limitations[2]
for which uselimitation — any transfer from animal epilepsy models: UNLIKE THE MOTOR PROSTHESIS APPROACH IN WHICH THE SIMILARITY BETWEEN NONHUMAN PRIMATE M1 AND HUMAN M1 IS EVIDENT, THE RELATIONSHIP BETWEEN ANY GIVEN ANIMAL MODEL and human epilepsy is unclear
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limitations[3]
for which uselimitation — claims about the seizure focus itself: THE DETAILS OF SINGLE NEURON ACTIVITY IN THE FOCUS remain poorly understood
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limitations[4]
for which uselimitation — every seizure-prediction method reviewed: NONE HAS LED TO A CLINICALLY USEABLE OR COMMERCIALLY SUCCESSFUL PREDICTIVE ALGORITHM
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limitations[5]
for which uselimitation — the spiking basis of anaesthetic EEG patterns: THE SPIKE (ACTION POTENTIAL) ACTIVITY UNDERLYING MANY OF THESE PATTERNS IS NOT KNOWN, WITH THE EXCEPTION OF SLOW OSCILLATIONS DURING PROPOFOL INDUCED ANESTHESIA
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limitations[6]
for which uselimitation — large-scale cortical claims from either source: THE SMALL SIZE OF THE BRAIN IN THE ANIMAL MODELS HAS PREVENTED MUCH ANALYSIS OF LARGE-SCALE RELATIONSHIPS ACROSS THE CORTEX, AND HUMAN STUDIES OF SCALP EEG PROVIDE LITTLE SPATIAL RESOLUTION
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limitations[7]
for which uselimitation — the same scope as limitations[2]
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limitations[8]
for which uselimitation — what can be extracted from the recordings at all: THIS MUCH NEURAL DATA CHALLENGES OUR COMPUTATIONAL CAPABILITIES AND, ESSENTIALLY, OUR TECHNIQUES FOR EXTRACTING MEANINGFUL INFORMATION FROM THIS HIGH DIMENSIONAL DATA SET
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limitations[9]
for which uselimitation — the clinical uptake claim: SINGLE UNIT PHYSIOLOGY IS STILL A SMALL COMPONENT OF NEUROLOGIC AND PSYCHIATRIC PRACTICE, after A MORE THAN 40-YEAR HISTORY
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limitations[10]
duplicate ofmechanism — mechanisms[1]
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mechanisms[7]
replicationuntested
limitationMuch relevant work on miniaturised and wireless implanted recording is acknowledged as outside the review's scope.
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limitations[0]
limitationThe cognitive-neuroscience literature on human single units is only sampled, not covered.
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limitations[1]
limitationThe cognitive single-unit findings surveyed are conceded to have no immediate clinical application.
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limitations[2]
limitationthe relationship between any animal model of epilepsy and human epilepsy is unclear, unlike the primate-human motor cortex case
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limitations[3]
limitationthe details of single-neuron activity in the seizure focus itself remain poorly understood
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limitations[4]
limitationdecades of seizure-prediction work has produced no clinically usable algorithm
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limitations[5]
limitationthe spiking activity underlying most anaesthetic EEG signatures is simply not known
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limitations[6]
limitationanimal brains are too small to study large-scale cortical relationships, and human scalp EEG has too little spatial resolution - neither end of the scale is available
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limitations[7]
limitationthe cognitive single-unit findings are not yet of immediate clinical relevance, stated plainly
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limitations[8]
limitationdata volumes already exceed what current techniques can extract meaning from
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limitations[9]
limitationafter forty years single-unit physiology is still a small component of practice
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limitations[10]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
findingDespite being foundational to brain function, single-neuron activity has almost no presence in everyday clinical neurology, neurosurgery or psychiatry.
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content_tags.findings[0]
findingCurrent clinical measurement modalities cannot resolve neuronal activity at the scale of the action potential.
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content_tags.findings[1]
findingEven after four decades of relevant recordings, single-unit physiology remains a marginal component of neurological and psychiatric practice.
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content_tags.findings[2]
findingMicroelectrode and macroelectrode array work has undermined the standard account of epilepsy as purely a disorder of hypersynchrony and excitation-inhibition imbalance.
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content_tags.findings[3]
findingThe authors suggest intraoperative single-unit localisation during DBS may be the best example of single-neuron activity used directly in clinical care.
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content_tags.findings[4]
findingFiring rates and patterns are used to identify the boundaries of the subthalamic nucleus and globus pallidus internus as the electrode advances.
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content_tags.findings[5]
findingIntracortical arrays implanted from 2004 onward let people with tetraplegia produce 2D cursor movement and simple robotic control directly from cortical spiking.
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content_tags.findings[6]
findingMultiple studies indicate that individual neurons in higher-order cortex keep tuning or specificity for complex stimuli.
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content_tags.findings[7]
findingdiscussion of neuronal activity is largely absent from clinical neuroscience
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content_tags.findings[8]
findingthe only single-neuron references in classic neurology textbooks concern peripheral nerves
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content_tags.findings[9]
findingexisting clinical modalities cannot resolve activity at the scale of the action potential
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content_tags.findings[10]
findingfiner measurement challenges the canonical framing of epilepsy as hypersynchrony
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content_tags.findings[11]
findingDBS electrode localisation by firing pattern may be the best example of clinical use of single-neuron activity
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content_tags.findings[12]
findingduring loss of consciousness, cortical neurons phase-lock to local slow oscillations but fall out of phase with distant cortex
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content_tags.findings[13]
findingno seizure-prediction method has yet produced a clinically usable or commercially successful algorithm
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content_tags.findings[14]
findingwaves often portrayed as homogeneous are more heterogeneous in space and in their involvement of individual neurons
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content_tags.findings[15]
findingafter forty years, single-unit physiology remains a small part of clinical practice
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content_tags.findings[16]
quantity100 probes — number of etched silicon probes in the original Utah array
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content_tags.quantities[0]
quantityseveral Tb / 100+ neurons — data volume and neuron count typically obtained from a single 4x4 mm Utah array recording
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content_tags.quantities[1]
quantity~500 GB per day — full-bandwidth neural data rate produced by one implanted array at current resolutions
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content_tags.quantities[2]
quantity365 Terabytes in one year — storage burden of continuously recording one individual with two implanted arrays for a year
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content_tags.quantities[3]
quantitymid 1950s — date from which human single-unit recordings have been performed
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content_tags.quantities[4]
quantity>100 Hz — frequency range of the high frequency oscillations shown to matter in epilepsy
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content_tags.quantities[5]
quantity<1 Hz / ~10 Hz — slow-oscillation and frontal alpha frequencies that dominate the EEG under propofol anaesthesia
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content_tags.quantities[6]
quantityabout 500 GB per day from one array — full-bandwidth neural data rate
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content_tags.quantities[7]
quantity365 terabytes in one year from two arrays — continuous storage for one individual
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content_tags.quantities[8]
quantitya single 4 x 4 mm Utah array yields several Tb and 100+ neurons — yield per implant
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content_tags.quantities[9]
quantityat least four high-resolution recording platforms — the available instruments
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content_tags.quantities[10]
quantitymid 1950s — when human single-unit recording began, against a literature that still omits it
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content_tags.quantities[11]
quantity100 years — how long human epilepsy was studied almost entirely by scalp EEG
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content_tags.quantities[12]
variablefiring rates or patterns
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content_tags.variables[0]
definitionbrain-computer interface (BCI)
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content_tags.definitions[0]
definitionUtah array
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content_tags.definitions[1]
definition‘clustering’ algorithms
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[2]
definition"Jennifer Anniston Neuron"
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[3]
definitionbrain-computer interface
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[4]
definitionsingle unit
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.definitions[5]
key-termssingle neuron, single unit, action potential, clinical neuroscience, electroencephalography, brain-computer interface, Utah array, tetraplegia, epilepsy, hypersynchrony, high frequency oscillations, deep brain stimulating, subthalamic nucleus, propofol, slow oscillations, local field potentials, sparse encoding, animal models, gold standard, clustering
Statistics — cross-field join keys
field-invariant statistical terms, used in their statistical sense (gated on a number / symbol / test). A p-value or a standard deviation means the SAME thing in physics, biology, psychology and sociology — so these are the strongest cross-field join keys. Grounded verbatim.
clustering algorithms for spike extraction
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[0]
dimensionality reduction and point process techniques
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[1]
Second readings
a facet read a second time, independently, from its own sentence — and whether the two readings agree
claim typecritique — a second reading DIFFERING from the recorded value; recorded: prediction
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
alternatives.claim_type
methodnarrative review across motor prosthetics, epilepsy, movement disorders, anaesthesia and cognition, with a textbook search establishing the absence — a second reading DIFFERING from the recorded value; recorded: review
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
alternatives.method
phenomenonsingle-unit activity as a clinical observable — a second reading DIFFERING from the recorded value; recorded: single-neuron recording in clinical neurology
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
alternatives.phenomenon

When we have changed our mind. Some entries in the table begin with a word in capitals and the reason for it. EVIDENCE CORRECTED — the finding still stands, but we had quoted the wrong sentence from the paper, and the quotation has been replaced with the right one. RETRACTED — the entry itself was wrong; it stays on the page, marked, with the reason, rather than being deleted. WITHDRAWN AND REPLACED — the entry was wrong, and a corrected version of it appears in the entries below. Each mark carries its own reason, in brackets, because the reasons differ from one entry to the next. An entry we have WITHDRAWN is removed from this page and kept in the record, with its reason. A line reading Audit and a date is a later re-reading of the entry against its whole sentence: DOUBTFUL means it was kept, and the reason says what is loose about it. Quotation marks inside the tagger's sentence. Where a tag is the tagger's own sentence, a phrase in quotation marks inside it is borrowed from the paper — the tagger's wording around it is not. The paper's own sentence is the evidence quote for that row; on this page it is withheld with the article, and the article is at its publisher. Nothing inside quotation marks anywhere on this page is ours: if it is quoted, it is the paper's. Whose words a concept carries. A concept entry records a term the paper itself uses, so the term, the sense given for it, and its evidence are the paper's own words, quoted where the paper fixes them. This is the opposite of a sense entry in the tag table, which is the tagger's sentence about how the paper uses a term. Where a concept entry could not be grounded in the paper's words, the entry says so on its own row.

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