Overview

Model S14 Full System

The S14 insert earphones provide high-quality acoustic stimulus delivery while attenuating scanner noise. They are small enough to fit within any head coil, and can be covered with circumaural muffs for added protection if the coil allows. Replaceable Comply(TM) Canal Tips ensure sanitary conditions.

Model S14 Wiring Diagram

Frequency response equalization is achieved by pre-filtering stored digital stimuli. Equalization filters are provided and can be used either within Matlab or with a stand-alone filtering program (provided). A small power amplifier is required.

FAQ

Q: Does the S14 come with a warranty?

A: The S14 earphone system comes with a one-year warranty.

Q: Is the S14 earphone system approved for use in a 3T scanner?

A: The S14 earphone system has been tested to be MR Conditional for fMRI in 3T scanners. Please see the Safety Statement.

Q: Is the S14 earphone system approved for use in a 7T scanner?

A: No. Thus far, the S14 system has been tested only in 3T scanners.

Q: Where can I get additional foam tips for the S14 earphones? Can I order them from Sensimetrics?

A: Sensimetrics is an authorized reseller of Comply (TM) Foam Canal Tips. You can buy them in our online store.

Q: Do you sell an fMRI-compatible active noise removal feature or attenuator with this device?

A: We do not sell any active noise reduction devices. We recommend hearing protector earmuffs on top of the S14 insert phones as an effective means of achieving added noise reduction (provided, of course, that they fit in your head coil). Search the web for ‘dielectric earmuffs’.

Q: Is there an example of the frequency response specs for the S14 earphone system?

A: Yes. Please see this example of an individual specification sheet provided with each S14 system.

Q: Is it necessary/recommended to use an amplifier? What sort of audio amplifier do I need?

A: You can generate weak signals without one, but an amplifier is needed to produce sound levels that are usually used in fMRI research. The requirements for the amplifier are very modest. The transformer/earphone combination will require no more than 3 watts per channel, which may be met by a large number of small audio amplifiers. Note that some amplifiers incorporate a loudness correction that effectively changes the frequency response along with overall gain as the volume is controlled. It is also recommended that you use a linear “analog” amplifier and avoid using a “digital” amplifier with the S14 system in order to avoid possible interference with the scanner. As an example, the Pyle Home PCA1 has been used successfully with the Model S14 earphone system.

S14 users have also reported good performance from the Aphex Headpod-4.

Q: I am using an analog/linear power amplifier with my s14, but I still get an artifact that goes away when the amplifier is disconnected, Do you have any suggestions?

A: Some analog amplifiers suffer from slight HF instabilities that can also introduce artifact-causing noise. Some such amplifiers can become unstable due to MRI signals accidentally coupled to the amplifier. Although this is relatively rare with modern high quality units, specific testing of the output for out-of-AF band emissions during scanning could reveal a problem. Adding additional filtering to the amplifier (input, output, power) could solve the problem, or an alternate amplifier could be part of the troubleshooting process.

Q: Do you have any official designation that the S14 earphones are MR safe?

A: The S14 is tested to be MR Conditional (according to ASTM labeling). The limits for safe use are stated in the product Safety Statement.

Q: How much attenuation of external sounds do the S14 insert earphones provide?

A: An S14 earphone inserted in a measurement device with no leaks achieves the same level of attenuation as a foam plug. Please see the Technical Note on Attenuation for more information.

Q: What type of transducer is used in the S14 earphones?

A: The earphones are piezoelectric. They contain a 12-mm disc of piezoelectric material to which a thin brass disc is bonded.

Q: What conductor material is used in the leads in the earphone cable and in the 9-meter cable?

A: The conductors are all twisted-pair copper, which is non-magnetic.

Q: I’m having trouble reading .wav files in EQ Filtering. Is there a fix?

A: Yes. Some audio editing software is known to create .wav files that are incompatible with early versions of the EQ Filtering Software. If you are having trouble using .wav files in EQ Filtering, you are encouraged to download the “EQ Filtering WAV File DLL Update” from the download page. This DLL fixes a problem in EQ Filtering 2.0 where certain types of .wav files are read incorrectly. Another work around is to open and save the .wav files in another program prior to opening the files into EQ Filtering.

Q: The EQ Filtering software is crashing, or is not working correctly. Is there an update available?

A: Yes. Version 2.2 of EQ Filtering is available for download to all S14 users from our download page.

All users EQ Filtering versions 2.0 and 2.1 are encouraged to update to version 2.2 of the EQ Filtering software. This update addresses the following issues:

1) On some systems, filters applied to wav files that were less than a certain length sometimes caused the program to crash. This error has been corrected.

2) Stereo input files were output as mono files if the Mono Input To selector specified Left Only or Right Only. Stereo input files are now always processed and saved as stereo output files.

Q: While installing EQ Filtering on Windows 7/8, I get the error “Unhandled exception has occurred in this application.” Does EQ Filtering work with 32bit and 64bit Windows 7/8?

A: All S14 users are encouraged to download and install version 2.2 of the EQ Filtering software (available in 32bit and 64bit versions) from the Model S14 Download Page.

Q: What is the EQ filtering software exactly doing? Is it similar to an external/analog EQ system?

A: The EQ Filtering software uses digital filters custom-matched for your earphones to compensate for (remove) resonances in the frequency responses of the earphones. The compensation is applied to digital signals that are stored on your computer.

Q: We are seeing “zipper” and other image artifacts. Can you suggest steps for addressing this RF interference?

A: Although the majority of installations of S14 systems work with no further filtering, it is sometimes beneficial to connect the shield of the long cable to ground (using the grounding cable accessory). This is especially true when using a waveguide entrance to the scan room. If further RF filtering is necessary, insert a pair of inline low-pass filters, such as those sold by Mini-Circuits (Brooklyn NY, for example type: blp-70+) at the BNC connections of the penetration panel, (or at the BNC outputs of the transformer box in the case of waveguide-only installations). Such inline filters, having ca. -40dB at the scanner frequencies, plus grounding at the panel (or waveguide), have proven to solve RFI problems regardless of the exact cause.

Documentation

Please consult the following documents for important information about Model S14 Insert Earphones for fMRI Research:

 

Accessories

Comply Canal Tips for S14

Replaceable Comply (TM) Foam Canal Tips – $325

Sensimetrics is an authorized reseller of Comply (TM) Foam Canal Tips.

Sensimetrics’ Model S14 was tested for safety using Comply’s military-grade canal tips. The tips conform to the ear canal to maintain an acoustic seal, deliver maximum noise reduction, and ensure sanitary conditions.

For more detailed specifications of Comply (TM) Foam Canal Tips, visit Comply’s product website.

S14 BNC Penetration Panel Adaptor Cables

S14 BNC Penetration Panel Adaptor Cables – $300

Allows “differential pass-through” of the headphone signal coming from the transformer box when used with grounded penetration panels. Converts the normal “single BNC per channel” connections to “two BNCs per channel” (thus stereo requires 4 BNC positions on each side of the panel). This optional configuration allows the user to maintain the balanced drive signal from the transformer. While this accessory is not usually needed, it may be helpful in certain situations when tracking down RF leakage or artifacts peculiar to a particular installation.

S14 Choke Grounding Cable

S14 Choke Grounding Cable – $10

This accessory enables a direct connection from the shield conductor of the long cable assembly to a user specified ground at the penetration panel. Such connection is not generally used, but it may be helpful in certain situations when tracking down RF leakage or artifacts peculiar to a particular installation.

Studies

Published studies using S14 earphones:

Functional activity and white matter microstructure reveal the independent effects of age of acquisition and proficiency on second-language learning

Emily S. Nichols, Marc F. Joanisse
NeuroImage – Volume 143, December 2016, Pages 15–25
doi: 10.1016/j.neuroimage.2016.08.053

Brain bases of morphological processing in Chinese-English bilingual children

Ka I Ip, Lucy Shih-Ju Hsu, Maria M. Arredondo, Twila Tardif, Ioulia Kovelman
Developmental Science – 14 August 2016
doi: 10.1111/desc.12449

Whispering – The hidden side of auditory communication

Sascha Frühholz, Wiebke Trost, Didier Grandjean
NeuroImage – Available online 12 August 2016
doi: 10.1016/j.neuroimage.2016.08.023

Dynamic reconfiguration of the default mode network during narrative comprehension

Erez Simony, Christopher J Honey, Janice Chen, Olga Lositsky, Yaara Yeshurun, Ami Wiesel, Uri Hasson
Nature Communications – Article number: 12141, 18 July 2016
doi: 10.1038/ncomms12141

Somatosensory attention identifies both overt and covert awareness in disorders of consciousness

Raechelle M. Gibson B.Sc, Srivas Chennu PhD, Davinia Fernández-Espejo PhD, Lorina Naci PhD, Adrian M. Owen PhD, Damian Cruse PhD
Annals of Neurology – 4 August 2016
doi: 10.1002/ana.24726

Mapping the cortical representation of speech sounds in a syllable repetition task

Christopher J. Markiewicz, Jason W. Bohland
NeuroImage – Volume 141, 1 November 2016, Pages 174–190
doi: 10.1016/j.neuroimage.2016.07.023

A new fun and robust version of an fMRI localizer for the frontotemporal language system

Terri L. Scott, Jeanne Gallée, Evelina Fedorenko
Cognitive Neuroscience – Page 1-10 | Received 02 Mar 2016, Published online: 07 Jul 2016
doi: 10.1080/17588928.2016.1201466

The representation of level and loudness in the central auditory system for unilateral stimulation

Oliver Behler, Stefan Uppenkamp
NeuroImage – Volume 139, 1 October 2016, Pages 176–188
doi: 10.1016/j.neuroimage.2016.06.025

Velocity Selective Networks in Human Cortex Reveal Two Functionally Distinct Auditory Motion Systems

Jhao-An Meng, Kourosh Saberi, I-Hui Hsieh
PLOS One – June 13, 2016
doi: 10.1371/journal.pone.0157131

Neural Processing of Emotional Musical and Nonmusical Stimuli in Depression

Rebecca J. Lepping, Ruth Ann Atchley, Evangelia Chrysikou, Laura E. Martin, Alicia A. Clair, Rick E. Ingram, W. Kyle Simmons, Cary R. Savage
PLOS One – June 10, 2016
doi: 10.1371/journal.pone.0156859

Natural speech reveals the semantic maps that tile human cerebral cortex

Alexander G. Huth, Wendy A. de Heer, Thomas L. Griffiths, Frédéric E. Theunissen, Jack L. Gallant
Nature – Volume 532, 28 April 2016, 453–458
doi: 10.1038/nature17637

A Brain System for Auditory Working Memory

Sukhbinder Kumar, Sabine Joseph, Phillip E. Gander, Nicolas Barascud, Andrea R. Halpern, Timothy D. Griffiths
The Journal of Neuroscience, 20 April 2016, 36(16): 4492-4505
doi: 10.1523/JNEUROSCI.4341-14.2016

Auditory fMRI of Sound Intensity and Loudness for Unilateral Stimulation

Oliver Behler, Stefan Uppenkamp
Advances in Experimental Medicine and Biology – Volume 894, 15 April 2016, Pages 165-174
doi: 10.1007/978-3-319-25474-6_18

Media multitasking is associated with distractibility and increased prefrontal activity in adolescents and young adults

M. Moisala, V. Salmela, L. Hietajärvi, E. Salo, S. Carlson, O. Salonen, K. Lonka, K. Hakkarainen, K. Salmela-Aro, K. Alho
NeuroImage – Volume 134, 1 July 2016, Pages 113–121
doi: 10.1016/j.neuroimage.2016.04.011

Validity and reliability of four language mapping paradigms

Stephen M. Wilson, Alexa Bautista, Melodie Yen, Stefanie Lauderdale, Dana K. Eriksson
NeuroImage: Clinical – Available Online March 24, 2016
doi: 10.1016/j.nicl.2016.03.015

Functional magnetic resonance imaging confirms forward suppression for rapidly alternating sounds in human auditory cortex but not in the inferior colliculus

Christian Harm Uhlig, Andrew R. Dykstra, Alexander Gutschalk
Hearing Research – Volume 335, May 2016, Pages 25–32
doi: 10.1016/j.heares.2016.02.010

The effect of spatial resolution on decoding accuracy in fMRI multivariate pattern analysis

Anna Gardumi, Dimo Ivanov, Lars Hausfeld, Giancarlo Valente, Elia Formisano, Kâmil Uludağ
NeuroImage – Volume 132, 15 May 2016, Pages 32–42
doi: 10.1016/j.neuroimage.2016.02.033

Auditory functional magnetic resonance imaging in dogs – normalization and group analysis and the processing of pitch in the canine auditory pathways

Jan-Peter Bach, Matthias Lüpke, Peter Dziallas, Patrick Wefstaedt, Stefan Uppenkamp, Hermann Seifert, Ingo Nolte
BMC Veterinary Research – December 2016
doi: 10.1186/s12917-016-0660-5

In young readers, the left hemisphere supports the link between temporal processing and phonological awareness

Margaret Ugolini, Neelima Wagley, Ka Ip, Lucy Shih-Ju Hsu, Maria M. Arredondo & Ioulia Kovelman
Speech, Language and Hearing – Published online: February 16, 2016
doi: 10.1080/2050571X.2015.1101894

Distortion products in auditory fMRI research: Measurements and solutions

Sam Norman-Haignere, Josh H. McDermott
NeuroImage – Volume 129, 1 April 2016, Pages 401–413
doi: 10.1016/j.neuroimage.2016.01.050

Neural responses to grammatically and lexically degraded speech

Alexa Bautista & Stephen M. Wilson
Language, Cognition and Neuroscience – Published online: January 20, 2016
doi: 10.1080/23273798.2015.1123281

Acoustic richness modulates the neural networks supporting intelligible speech processing

Yune-Sang Lee, Nam Eun Min, Arthur Wingfield, Murray Grossman, Jonathan E. Peelle
Hearing Research – Volume 333, March 2016, Pages 108–117
doi: 10.1016/j.heares.2015.12.008

Distinct Cortical Pathways for Music and Speech Revealed by Hypothesis-Free Voxel Decomposition

Sam Norman-Haignere, Nancy G. Kanwisher, Josh H. McDermott
Neuron – Volume 88, Issue 6, 16 December 2015, Pages 1281–1296
doi: 10.1016/j.neuron.2015.11.035

Auditory Spatial Coding Flexibly Recruits Anterior, but Not Posterior, Visuotopic Parietal Cortex

Samantha W. Michalka, Maya L. Rosen, Lingqiang Kong, Barbara G. Shinn-Cunningham, David C. Somers
Cerebral Cortex – December 11, 2015
doi: 10.1093/cercor/bhv303

The cat’s meow: A high-field fMRI assessment of cortical activity in response to vocalizations and complex auditory stimuli

Amee J. Hall, Blake E. Butler, Stephen G. Lomber
NeuroImage – December 2015
doi: 10.1016/j.neuroimage.2015.11.056

Past experience shapes ongoing neural patterns for language

Lara J. Pierce, Jen-Kai Chen, Audrey Delcenserie, Fred Genesee, Denise Klein
Nature Communications – December 1, 2015
doi: 10.1038/ncomms10073

A selective impairment of perception of sound motion direction in peripheral space: A case study

Lore Thaler, Joseph Paciocco, Mark Daley, Gabriella D. Lesniak, David W. Purcell, J. Alexander Fraser, g, Gordon N. Dutton, Stephanie Rossit, Melvyn A. Goodale, Jody C. Culham
Neuropsychologia – Volume 80, January 8, 2016, Pages 79–89
doi: 10.1016/j.neuropsychologia.2015.11.008

Decoding Articulatory Features from fMRI Responses in Dorsal Speech Regions

Joao M. Correia, Bernadette M.B. Jansma, and Milene Bonte
The Journal of Neuroscience – November 11, 2015
doi: 10.1523/JNEUROSCI.0977-15.2015

Scene unseen: Disrupted neuronal adaptation in melancholia during emotional film viewing

Matthew P. Hyett, Gordon B. Parker, Christine C. Guo, Andrew Zalesky, Vinh T. Nguyen, Tamara Yuen, Michael Breakspear
NeuroImage: Clinical – Volume 9, 2015, Pages 660–667
doi: 10.1016/j.nicl.2015.10.011

The effect of precision and power grips on activations in human auditory cortex

Patrik A. Wikman, Lari Vainio, Teemu Rinne
Frontiers in Neuroscience – October 15, 2015
doi: 10.3389/fnins.2015.00378

Tuning to Binaural Cues in Human Auditory Cortex

Susan A. McLaughlin, Nathan C. Higgins, G. Christopher Stecker
Journal of the Association for Research in Otolaryngology – October 14, 2015
doi: 10.1007/s10162-015-0546-4

The influence of cognitive styles and strategies in the digit span backwards task: Effects on performance and neuronal activity

Sven Hilbert, Markus Bühner, Nina Sarubin, Karl Koschutnig, Elisabeth Weiss, Ilona Papousek, Gernot Reishofer, Michaela Magg, Andreas Fink
Personality and Individual Differences – Volume 87, December 2015, Pages 242–247
doi: 10.1016/j.paid.2015.08.012

Short-Term Memory for Space and Time Flexibly Recruit Complementary Sensory-Biased Frontal Lobe Attention Networks

Samantha W. Michalka, Lingqiang Kong, Maya L. Rosen, Barbara G. Shinn-Cunningham, David C. Somers
Neuron – Volume 87, Issue 4, 19 August 2015, Pages 882–892
doi: 10.1016/j.neuron.2015.07.028

Differences in fMRI intersubject correlation while viewing unedited and edited videos of dance performance

Aleksandra Herbec, Jukka-Pekka Kauppi, Corinne Jola, Jussi Tohka, Frank E. Pollick
Cortex – Volume 71, October 2015, Pages 341–348
doi: 10.1016/j.cortex.2015.06.026

Phonological processing in speech perception: What do sonority differences tell us?

Isabelle Deschamps, Shari R. Baum, Vincent L. Gracco
Brain and Language – Volume 149, October 2015, Pages 77–83
doi: 10.1016/j.bandl.2015.06.008

Three-dimensional echo planar imaging with controlled aliasing: A sequence for high temporal resolution functional MRI

Mayur Narsude, Daniel Gallichan, Wietske van der Zwaag, Rolf Gruetter, José P. Marques
Magnetic Resonance in Medicine – July 14, 2015
doi: 10.1002/mrm.25835

The Design, Implementation, and Testing of a Sensorized MRI-Compatible Cello

Avrum D. Hollinger, Marcelo M. Wanderley
IEEE Sensors Journal
doi: 10.1109/JSEN.2015.2449876

Auditory-neurophysiological responses to speech during early childhood: Effects of background noise

Travis White-Schwoch, Evan C. Davies, Elaine C. Thompson, Kali Woodruff Carr, Trent Nicol, Ann R. Bradlow, Nina Kraus
Hearing Research – Volume 328, October 2015, Pages 34–47
doi: 10.1016/j.heares.2015.06.009

Brain bases of morphological processing in young children

Maria M. Arredondo, Ka I Ip, Lucy Shih Ju Hsu, Twila Tardif, Ioulia Kovelman
Human Brain Mapping – Volume 36, Issue 8, pages 2890–2900, August 2015
doi: 10.1002/hbm.22815

High-field fMRI reveals tonotopically-organized and core auditory cortex in the cat

Amee J. Hall, Stephen G. Lomber
Hearing Research Volume 325 – July 2015, Pages 1–11
doi: 10.1016/j.heares.2015.03.003

Out-of-sync: disrupted neural activity in emotional circuitry during film viewing in melancholic depression

Christine C. Guo, Vinh T. Nguyen, Matthew P. Hyett, Gordon B. Parker, Michael J. Breakspear
Scientific Reports 5, Article number: 11605 – June 26, 2015
doi: 10.1038/srep11605

Repetition Suppression in the Left Inferior Frontal Gyrus Predicts Tone Learning Performance

Salomi S. Asaridou, Atsuko Takashima, Dan Dediu, Peter Hagoort, James M. McQueen
Cerebral Cortex – June 25, 2015
doi: 10.1093/cercor/bhv126

The human voice areas: Spatial organization and inter-individual variability in temporal and extra-temporal cortices

Cyril R. Pernet, Phil McAleer, Marianne Latinus, Krzysztof J. Gorgolewski, Ian Charest, Patricia E.G. Bestelmeyer, Rebecca H. Watson, David Fleming, Frances Crabbe, Mitchell Valdes-Sosa, Pascal Belin
NeuroImage – June 24, 2015
doi: 10.1016/j.neuroimage.2015.06.050

Feel the Noise: Relating Individual Differences in Auditory Imagery to the Structure and Function of Sensorimotor Systems

César F. Lima, Nadine Lavan, Samuel Evans, Zarinah Agnew, Andrea R. Halpern, Pradheep Shanmugalingam, Sophie Meekings, Dana Boebinger, Markus Ostarek, Carolyn McGettigan, Jane E. Warren, Sophie K. Scott1
Cerebral Cortex – June 19, 2015
doi: 10.1093/cercor/bhv134

Why musical memory can be preserved in advanced Alzheimer’s disease

Jörn-Henrik Jacobsen, Johannes Stelzer, Thomas Hans Fritz, Gael Chételat, Renaud La Joie, Robert Turner
Brain: A Journal of Neurology – June 3, 2015
doi: 10.1093/brain/awv135

Idiosyncratic Brain Activation Patterns Are Associated with Poor Social Comprehension in Autism

Lisa Byrge, Julien Dubois, J. Michael Tyszka, Ralph Adolphs, Daniel P. Kennedy
The Journal of Neuroscience, April 8, 2015
doi: 10.1523/JNEUROSCI.5182-14.2015

Cortical Activity Predicts Which Older Adults Recognize Speech in Noise and When

Kenneth I. Vaden Jr., Stefanie E. Kuchinsky, Jayne B. Ahlstrom, Judy R. Dubno, and Mark A. Eckert
The Journal of Neuroscience March 4, 2015
doi: 10.1523/JNEUROSCI.2908-14.2015

Efficacy of Carnitine in Treatment of Tinnitus: Evidence from Audiological and MRI Measures—A Case Study

Kamakshi V. Gopal, Binu P. Thomas, Deng Mao, Hanzhang Lu
Journal of the American Academy of Audiology, Volume 26, Number 3, March 1, 2015, pp. 311-324(14)
doi: 10.3766/jaaa.26.3.10

Multi-Regional Investigation of the Relationship between Functional MRI Blood Oxygenation Level Dependent (BOLD) Activation and GABA Concentration

Ashley D. Harris, Nicolaas A. J. Puts, Brian A. Anderson, Steven Yantis, James J. Pekar, Peter B. Barker, Richard A. E. Edden
Public Library of Science February 20, 2015
doi: 10.1371/journal.pone.0117531

Subcortical functional reorganization due to early blindness

Gaelle S L Coullon, Fang Jiang, Ione Fine, Kate E. Watkins, Holly Bridge
Journal of Neurophysiology February 11, 2015
doi: 10.1152/jn.01031.2014

The Topography of Frequency and Time Representation in Primate Auditory Cortices

Simon Baumann, Olivier Joly, Adrian Rees, Christopher I Petkov, Li Sun, Alexander Thiele, Timothy D Griffiths
eLife January 15, 2015
doi: 10.7554/eLife.03256

Cortical reinstatement and the confidence and accuracy of source memory

Preston P. Thakral, Tracy H. Wang, Michael D. Rugg
NeuroImage Volume 109, April 1, 2015, Pages 118–129
doi: 10.1016/j.neuroimage.2015.01.003

Representation of pitch chroma by multi-peak spectral tuning in human auditory cortex

Michelle Moerel, Federico De Martino, Roberta Santoro, Essa Yacoub, Elia Formisano
NeuroImage Volume 106, February 1, 2015, Pages 161–169
doi: 10.1016/j.neuroimage.2014.11.044

Population receptive field estimates of human auditory cortex

Jessica M. Thomas, Elizabeth Huber, G. Christopher Stecker, Geoffrey M. Boynton, Melissa Saenz, Ione Fine
NeuroImage Volume 105, January 15, 2015, Pages 428–4394
doi:10.1016/j.neuroimage.2014.10.060

Auditory motion processing after early blindness

Fang Jiang, Christopher Stecker and Ione Fine
Journal of Vision, November 6, 2014
doi: 10.1167/14.13.4

Stimulus dependence of contralateral dominance in human auditory cortex

Alexander Gutschalk and Iris Steinmann
Human Brain Mapping, October 24, 2014
doi: 10.1002/hbm.22673

The effect of rehearsal rate and memory load on verbal working memory

David Fegen, Bradley R. Buchsbaum and Mark D’Esposito
NeuroImage, October 23, 2014
doi: 10.1016/j.neuroimage.2014.10.034

The Neural Correlates of Speech Motor Sequence Learning

Jennifer A. Segawa, Jason A. Tourville, Deryk S. Beal and Frank H. Guenther
Journal of Cognitive Neuroscience, October 14, 2014
doi:10.1162/jocn_a_00737

Top-down modulation of visual and auditory cortical processing in aging

Maria J.S. Guerreiroa, Judith Eckb, Michelle Moerelb, Elisabeth A.T. Eversa and Pascal W.M. Van Gervena
Behavioural Brain Research, Volume 278, 1 February 2015, Pages 226–234
doi: 10.1016/j.bbr.2014.09.049

Less noise, more activation: Multiband acquisition schemes for auditory functional MRI

Federico De Martino, Michelle Moerel, Kamil Ugurbil, Elia Formisano and Essa Yacoub
Magnetic Resonance in Medicine, August 2014
doi: 10.1002/mrm.25408

Parahippocampal cortex is involved in material processing via echoes in blind echolocation experts

Jennifer L. Milnea, Stephen R. Arnottb, Daniel Kishc, Melvyn A. Goodalea and Lore Thalerd
Vision Research, August 2014
doi: 10.1016/j.visres.2014.07.004

Processing of spatial sounds in human auditory cortex during visual, discrimination and 2-back tasks

Teemu Rinne, Heidi Ala-Salomäki, G Christopher Stecker, Jukka Pätynen and Tapio Lokki
Frontiers in Human Neuroscience, July 2014
doi: 10.3389/fnins.2014.00220

Roles of frontal and temporal regions in reinterpreting semantically ambiguous sentences

Sylvia Vitello, Jane E. Warren, Joseph T. Devlin and Jennifer M. Rodd
Frontiers in Human Neuroscience, June 2014
doi: 10.3389/fnhum.2014.00530

Synchronous brain activity across individuals underlies shared psychological perspectives

Juha M. Lahnakoskia, Enrico Glereana, Iiro P. Jääskeläinena, Jukka Hyönäc, Riitta Harid, Mikko Samsa, Lauri Nummenmaaa
NeuroImage, June 2014
doi: 10.1016/j.neuroimage.2014.06.022

Merging functional and structural properties of the monkey auditory cortex

Joly Olivier, Baumann Simon, Balezeau Fabien, Thiele Alexander, Griffiths Timothy D
Frontiers in Neuroscience, Vol. 8 2014
doi: 10.3389/fnins.2014.00198

Distinct parietal sites mediate the influences of mood, arousal, and their interaction on human recognition memory

Ciara M. Greene, Oliver Flannery, David Soto
Cognitive, Affective, & Behavioral Neuroscience, March 2014
doi: 10.3758/s13415-014-0266-y

The Impact of Vascular Factors on Language Localization in the Superior Temporal Sulcus

Stephen M. Wilson
Human Brain Mapping 00:00–00 2014
doi: 10.1002/hbm.22457

Functional magnetic resonance imaging of the ascending stages of the
auditory system in dogs

Jan-Peter Bach, Matthias Lüpke, Peter Dziallas, Patrick Wefstaedt,
Stefan Uppenkamp, Hermann Seifert2 and Ingo Nolte1
BMC Veterinary Research September 2013
doi:10.1186/1746-6148-9-210

There’s more than one way to scan a cat: Imaging cat auditory cortex with high-field fMRI using continuous or sparse sampling

Amee J. Halla, Trecia A. Brownb, Jessica A. Grahnc, Joseph S. Gatie, Pam L. Nixonb, Sarah M. Hughese, Ravi S. Menond, Stephen G. Lomber
Journal of Neuroscience Methods, Volume 224, 15 March 2014, Pages 96–106
doi:10.1016/j.jneumeth.2013.12.012

Evidence for distinct human auditory cortex regions for sound location versus identity processing

Jyrki Ahveninen, Samantha Huang, Aapo Nummenmaa, John W. Belliveau, An-Yi Hung, Iiro P. Jääskeläinen, Josef P. Rauschecker, Stephanie Rossi, Hannu Tiitinen & Tommi Raij
Nature Communications 4, Published 14 October 2013
Article number: 2585 doi:10.1038/ncomms3585

Selective and Invariant Neural Responses to Spoken and Written Narratives
Mor Regev, Christopher J. Honey, Erez Simony, and Uri Hasson
The Journal of Neuroscience, October 2, 2013, 33(40): 15978-15988
doi: 10.1523/​JNEUROSCI.1580-13.2013

Cortical and cerebellar modulation of autonomic responses to loud sounds
Christoph Mueller-Pfeiffer, Thomas Zeffiro, Ruth O’Gorman, Lars Michels, Peter Baumann, Nellie Wood, Justin Spring, Michael Rufer, Roger K. Pitman, Scott P. Orr
Society for Psychophysiological Research, September 9, 2013.
doi: 10.1111/psyp.12142

Making Every Word Count for Nonresponsive Patients
Lorina Naci, PhD; Adrian M. Owen, PhD
JAMA Neurology, August 12, 2013.
doi:10.1001/jamaneurol.2013.3686

The Brain’s Silent Messenger: Using Selective Attention to Decode Human Thought for Brain-Based Communication
Lorina Naci, Rhodri Cusack, Vivian Z. Jia, and Adrian M. Owen
The Journal of Neuroscience, 29 May 2013, 33(22): 9385-9393;
doi: 10.1523/​JNEUROSCI.5577-12.2013

Repetition Suppression for Speech Processing in the Associative Occipital and Parietal Cortex of Congenitally Blind Adults
Arnaud L, Sato M, Ménard L, Gracco VL (2013)
PLoS ONE 8(5): e64553. doi:10.1371/journal.pone.0064553

Functional localization of the auditory thalamus in individual human subjects
Fang Jianga, G. Christopher Steckerb, Ione Finea (2013)
NeuroImage – Volume 78, September 2013, Pages 295–304
doi:10.1016/j.neuroimage.2013.04.035

Experience-Dependent Modulation of Feedback Integration during Singing: Role of the Right Anterior Insula
Boris Kleber, Anthony G. Zeitouni, Anders Friberg, and Robert J. Zatorre (2013)
The Journal of Neuroscience, April 3, 2013, 33(14): 6070-6080;
doi:10.1523/​JNEUROSCI.4418-12.2013

Shape-specific activation of occipital cortex in an early blind echolocation expert
Stephen R. Arnotta, Lore Thalerb, Jennifer L. Milnec, Daniel Kishd, Melvyn A. Goodalec (2013) Neuropsychologia – Volume 51, Issue 5, April 2013, Pages 938–949, doi:10.1016/j.neuropsychologia.2013.01.024

Segregating the Neural Correlates of Physical and Perceived Change in Auditory Input Using the Change Deafness Effect
Sebastian Puschmann, Riklef Weerda, Georg Klump, and Christiane M. Thiel (2012)
Journal of Cognitive Neuroscience, December 18, 2012, doi:10.1162/jocn_a_00346

In Vivo Functional and Myeloarchitectonic Mapping of Human Primary Auditory Areas
Frederic Dick, Adam Taylor Tierney, Antoine Lutti, Oliver Josephs, Martin I. Sereno, and Nikolaus Weiskopf (2012)
The Journal of Neuroscience, November 14, 2012 • 32(46):16095–16105 • 16095

Processing of Natural Sounds in Human Auditory Cortex: Tonotopy, Spectral Tuning, and Relation to Voice Sensitivity
Michelle Moerel, Federico De Martino, and Elia Formisano (2012) The Journal of Neuroscience, October 10, 2012, doi: 10.1523/​JNEUROSCI.1388-12.2012

Characterization of the blood-oxygen level-dependent (BOLD) response in cat auditory cortex using high-field fMRI
Trecia A. Browna, Marc F. Joanisseb, Joseph S. Gatic, Sarah M. Hughese, Pam L. Nixona, Ravi S. Menonc, Stephen G. Lombera (2012) ScienceDirect, September 20, 2012, doi: 10.1016/j.neuroimage.2012.09.034

Learning of New Sound Categories Shapes Neural Response Patterns in Human Auditory Cortex
Anke Ley, Jean Vroomen, Lars Hausfeld, Giancarlo Valente, Peter De Weerd, and Elia Formisano (2012) Journal of Cognitive Neuroscience, September 19, 2012, doi: 10.1523/​JNEUROSCI.0584-12.2012.

Neuronal representations of distance in human auditory cortex
Norbert Kopčo, Samantha Huang, John W. Belliveau, Tommi Raij, Chinmayi Tengshe, and Jyrki Ahveninen (2012) PNAS, June 14, 2012, doi: 10.1073/pnas.1119496109

Response bias modulates the speech motor system during syllable discrimination
Venezia JH, Saberi K, Chubb C and Hickok G (2012) Front. Psychology 3:157. doi: 10.3389/fpsyg.2012.00157

Frequency-modulation-selective Networks in Human Auditory Cortex Revealed Using fMRI and Multivariate Pattern Classification
I-Hui Hsieh, Paul Fillmore, Feng Rong, Gregory Hickok, and Kourosh Saberi (2011)
Journal of Cognitive Neuroscience, May 29, 2012, doi:10.1162/jocn_a_00254.

Neural Correlates of Multisensory Perceptual Learning
Powers; Hevey; Wallace (2011) The Journal of Neuroscience, 2 May 2012, 32(18): 6263-6274.

Tactile–auditory shape learning engages the lateral occipital complex
Kyong Kim and Robert J. Zatorre (2011) The Journal of Neuroscience, 25 May 2011, 31(21): 7848-7856.

Pattern of BOLD signal in auditory cortex relates acoustic response to perceptual streaming
Kevin T. Hill, Christopher W. Bishop, Deepak Yadav and Lee M. Miller (2011) BMC Neuroscience 2011, 12:85.

Sustained BOLD and theta activity in auditory cortex are related to slow stimulus fluctuations rather than to pitch
Iris Steinmann and Alexander Gutschalk (2012) AJP – JN Physiol, March 28, 2012 jn.01105.2011.

Sensitivity to temporal modulation rate and spectral bandwidth in the human auditory system: fMRI evidence
Tobias Overath, Yue Zhang, Dan H. Sanes, and David Poeppel (2012) AJP- JN Physiol,  February 1, 2012 jn.00308.2011.

Quantifying the adequacy of neural representations for a cross-language phonetic discrimination task: prediction of individual differences
Rajeev D. S. Raizada, Feng-Ming Tsao, Huei-Mei Liu and Patricia K. Kuhl (2010) Cereb. Cortex (2010) 20 (1): 1-12.

Sensitive Period for a Multimodal Response in Human Visual Motion Area
Bedny, Marina;  Konkle, Talia;  Pelphrey, Kevin; Saxe, Rebecca; Pascual-Leone, Alvaro (2010)  Current Biology, 20.21 (2010): 1900–1906.

S14 earphones are currently in use at these, and other, research institutions:

Carl von Ossietzky Universitat Oldenburg

Oldenburg, Germany

Children’s Hospital Boston

Boston, Massachusetts USA

Donders Institute for Brain, Cognition and Behaviour

Nijmegen, The Netherlands

Harvard University – Center for Brain Science

Cambridge, Massachusetts USA

INSERM – National Institute for Medical Research

Paris, France

Martinos Center for Biomedical Imaging, Massachusetts General Hospital

Charlestown, Massachusetts USA

Massachusetts Institute of Technology

Cambridge, Massachusetts USA

Max Planck Institute for Human Cognitive and Brain Sciences

Leipzig, Germany

Medical Research Council Institute of Hearing Research

Nottingham, United Kingdom

Medical University of South Carolina

Charleston, South Carolina USA

Montreal Neurological Institute and Hospital at McGill University

Montreal, Canada

Princeton Neuroscience Institute

Princeton, New Jersey USA

University of Glasgow

Glasgow, Scotland

University of Oxford

Oxford, United Kingdom

Downloads

EQ Filtering 2.2 (32bit) – Windows 8/7/Vista/XP – July 16, 2012

EQ Filtering 2.2 (64bit) – Windows 8/7/Vista/XP – July 16, 2012

Notes: All S14 users are encouraged to download and install EQ Filtering version 2.2. Please uninstall any earlier versions of EQ Filtering before running this installer. Windows 8, Windows 7 and Vista users, after downloading, please right-click the setup file and click “Install as Administrator” or install with UAC (User Account Control) disabled.

This and earlier updates address the following issues

  • On some systems, filters applied to wav files that were less than a certain length sometimes caused the program to crash. This error has been corrected.
  • Stereo input files were output as mono files if the Mono Input To selector specified Left Only or Right Only. Stereo input files are now always processed and saved as stereo output files.
  • Some wave files created with software that write non-standard file header information may not open correctly in EQ Filtering versions 2.1 and ealier. This problem has been corrected.

EQFiltering MATLAB Utility – Windows 8/7/Vista/XP – August 1, 2012
This utility may be used as an alternative to the packaged EQ Filtering Software. It enables S14 users to filter .wav files in MATLAB for use with the Model S14 Insert Earphones. Please download the zip file above and see the included Readme file for more information.

Features

S14 Dimensions

Model S14 System Features

  • High-Quality Calibrated Audio
  • Flat Response Over 100Hz – 8 kHz Bandwidth
  • Output Levels in the Ear Canal up to 110 dB SPL
  • Sound Attenuation from Replaceable Comply Canal Tips
  • Custom Digital Equalization Filters
  • EQ Filtering 2.2 – Software for Windows XP/Vista/7/8
  • MATLAB Functions for Loading S14 Filters

Model S14 System Includes

  • Binaural Earphones with 1 Meter Cables
  • 9 Meter Cable
  • Small Transformer Box
  • Custom Digital EQ Filters
  • EQ Filtering Software
  • High-Impact Carrying Case
  • 6 pairs of Comply Foam Ear Canal Tips