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What can the acoustic startle reflex tell us?

2003· article· en· W2325978477 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Hearing Journal · 2003
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsFuture Earth
Fundersnot available
KeywordsInferior colliculusAudiologyAcoustic Startle ReflexReflexAuditory systemPsychologyNeuroscienceAcoustic reflexMoro reflexStartle responseMedicineNucleus

Abstract

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How is the central auditory system involved in the acoustic startle reflex? That is a great question because answering it requires addressing several perspectives about the acoustic startle. As always, there is the anatomy and physiology, about which our understanding has changed over the years. Then there is the professional perspective, that is, who is investigating this auditory phenomenon. Finally, there's the perspective of possible clinical applications. The acoustic startle reflex (ASR) is best known to audiologists as a cursory test for hearing sensitivity. In audiologic testing of infants, children, or adults, a loud, abrupt sound will result in a quick, usually observable movement by the patient. Most audiologists take this response to mean that hearing sensitivity is somewhat intact. However, the ASR may mean that more than the hearing is intact. Also, hearing may be intact with an absent ASR. Therefore, it seems there is more to the ASR than audiologists may suspect. Psychologists have long led the way in investigating and understanding this reflex. Their investigations have covered a wide range of factors that influence the ASR, only a few of which can be briefly addressed here. One of the most critical factors is the anatomy of the startle neural circuitry. In the 1930s, the ASR circuit included the obligatory auditory periphery [external ear → middle ear → cochlea → auditory nerve] and then the central auditory system: the cochlear nucleus to the inferior colliculus to the mid-brain reticular formation to the motor neurons of the spinal cord via the medial longitudinal faciculus (MLF). It was thought that these connections provided acoustic processing in the central auditory system, attention, and muscle contraction for subsequent movement. This anatomy was accepted until the 1980s when Mike Davis's work began to reveal a shorter circuit. This new pathway included the cochlear nucleus, to the ventral nucleus of the lateral lemniscus (VNLL), to the pontine reticular formation, to the MLF, and so on. Because the latency of the ASR in small animals was around 8 msec, this shorter circuit better fit the temporal aspects of the ASR. More recent work by Davis et al. has shortened the reflex pathway even more. This ASR circuit is as follows: cochlear nucleus → ventral lateral pons → reticular formation (pons) → spinal motor neurons. This circuitry allows an even quicker response in animals. Interestingly, the acoustic startle has a great range of latencies in humans, from as little as 10 msec up to 150 msec. The type of stimulus, recording techniques, and state of the organism all affect the magnitude and latency of the ASR. While most of these factors are beyond the scope of this discussion, knowing this anatomy causes the clinician to realize that multiple neural circuits are working in a certain locus and that the absence of an ASR does not necessarily mean a problem with hearing. THE PRE-PULSE INHIBITION Another aspect of the ASR that seems to have great clinical potential is the pre-pulse inhibition (PPI). The PPI centers around a signal (visual, tactile, or acoustic) that is at a sub-startle level that decreases the magnitude of the ASR. The PPI works when the pre-startle signal occurs approximately 30 to 500 msec before the startle signal. The best interstimulus interval for the pre-pulse signal and the startle signal is about 100 to 120 msec. It appears that the stronger the pre-pulse signal the greater the reduction in magnitude of the ASR. For example, it has been shown that a pre-pulse signal at 70 dB creates a greater attenuation of the ASR than a 60-dB pre-pulse signal. It is noteworthy that the first pre-pulse results in a decreased ASR magnitude in animals, which indicates that learning is not necessary for this phenomenon to occur. Humans show good test retest reliability—a favorable trait for potential clinical use. Of additional clinical interest is that pre-pulse signals close to the detection threshold can affect the ASR magnitude. Therefore, the PPI technique could possibly be used to approximate audiometric threshold by systematically decreasing the pre-pulse signal intensity until there is no effect on the magnitude of the ASR. Another consideration would be development of a device to measure the ASR in humans (this has already been done in regard to infant screening). There is also some interesting research on the PPI of the ASR that may have potential clinical use other than approximating hearing threshold. There is some evidence that the PPI of the ASR is reduced in persons with schizophrenia, Huntington's disease, Tourette's syndrome, and ADHD. It is believed that a reduced PPI may be related to reduced attention. It seems likely that auditory system dysfunction would affect the PPI in some manner since both the peripheral and central systems are involved in the PPI process. I feel the ASR awaits some interesting audiologic research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.249

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.232
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it