Morphological brain differences between adult stutterers and non-stutterers
© Jäncke et al; licensee BioMed Central Ltd. 2004
Received: 13 August 2004
Accepted: 10 December 2004
Published: 10 December 2004
The neurophysiological and neuroanatomical foundations of persistent developmental stuttering (PDS) are still a matter of dispute. A main argument is that stutterers show atypical anatomical asymmetries of speech-relevant brain areas, which possibly affect speech fluency. The major aim of this study was to determine whether adults with PDS have anomalous anatomy in cortical speech-language areas.
Adults with PDS (n = 10) and controls (n = 10) matched for age, sex, hand preference, and education were studied using high-resolution MRI scans. Using a new variant of the voxel-based morphometry technique (augmented VBM) the brains of stutterers and non-stutterers were compared with respect to white matter (WM) and grey matter (GM) differences.
We found increased WM volumes in a right-hemispheric network comprising the superior temporal gyrus (including the planum temporale), the inferior frontal gyrus (including the pars triangularis), the precentral gyrus in the vicinity of the face and mouth representation, and the anterior middle frontal gyrus. In addition, we detected a leftward WM asymmetry in the auditory cortex in non-stutterers, while stutterers showed symmetric WM volumes.
These results provide strong evidence that adults with PDS have anomalous anatomy not only in perisylvian speech and language areas but also in prefrontal and sensorimotor areas. Whether this atypical asymmetry of WM is the cause or the consequence of stuttering is still an unanswered question.
Persistent developmental stuttering (PDS) is a relatively severe disturbance characterized by involuntary, audible or silent, repetitions or prolongations of sounds or syllables. These are not readily controllable and often are accompanied by other movements and by negative emotions [1, 2]. Developmental stuttering evolves before puberty without apparent brain damage or other known cause. Several authors suppose a hereditary component of PDS because of the relatively high concordance rate in family members of PDS subjects (70% for monozygotic twins, about 30% for dizygotic twins, and 18% for siblings of the same sex) [3–5]. Because of this hereditary component and the early onset of stuttering it has repeatedly been suggested that some kind of anatomical or neurophysiological predetermination increases the vulnerability for stuttering [for a summary of theories and findings related to stuttering research ].
Several experimental studies have shown that stutterers reveal prolonged manual and vocal reaction times to simple and complex verbal and nonverbal stimuli [7–10], reduced bimanual coordination measures [11–13], atypical functional lateralizations [14–18], abnormalities in the auditory system [19–21], or increased variability of time-critical speech parameters [9, 22, 23]. More recent neuroimaging studies have shown atypical hemodynamic responses in speech-related brain areas even during fluent utterances suggesting a dysfunctionally operating speech control circuit in stutterers [24–29]. However, although much research has been invested to understand the neurophysiological mechanisms and underpinnings of this disorder, none of the aforementioned studies provide a substantial breakthrough in understanding stuttering. Several researchers have hypothesized subtle but nevertheless crucial deficiencies in the anatomical and neurophysiological underpinnings of the speech and language system. One popular hypothesis is that stutterers would show an atypical lateralisation of the speech system (reversed or reduced laterality) thought to make the system more vulnerable to speech dysfluencies . Although recent neuroimaging studies have shown atypical activation and deactivation of brain regions in adults with PDS [24, 30–32] the anatomical underpinnings of stuttering have not been examined in detail so far.
According to the present literature four anatomical studies revealed brain abnormalities in stutterers compared to controls. The earliest study examined two left-handed stuttering siblings using CT and revealed an atypical (reduced) anatomical asymmetry of the occipital poles . The first high-resolution MRI study investigating stutterers revealed a reduced volumetric asymmetry of the planum temporale (a brain area which is involved in higher order auditory processing) and other anatomical peculiarities in speech-related areas . A more recent paper of the same group revealed that PDS is also associated with atypical (mostly reduced) prefrontal and occipital lobe asymmetries . In addition, deficits in language processing were associated with some anatomic measures in the adults who stutter. Using a new MRI technique (diffusion tensor imaging: DTI), that allows the assessment of white matter ultrastructure, Sommer et al.  found an area of decreased white matter tract coherence in the left Rolandic operculum. This structure is adjacent to the primary motor representation of tongue, larynx, and pharynx and the inferior arcuate fascicle linking temporal and frontal language areas, which both form a temporo-frontal language system involved in word perception and production. Thus, there are indeed first strong hints that the brain of stutterers differ from non-stuttering subjects on a macroanatomical level suggesting that morphological predispositions determine stuttering.
Although the aforementioned anatomical studies have focussed on the anatomical foundations of stuttering, several questions are not answered yet. Therefore we re-examined the hypothesis of anatomical differences between stutterers and non-stutterers using voxel-based morphometry (VBM). This approach circumvents the problem of analyzing predetermined regions of interests by analyzing stereotactically normalized brains on a voxel-by-voxels basis with respect to differences in the volume of white matter (WM) or grey matter (GM) [37, 38]. This approach has successfully been used in the last 8 years for several clinical populations and allows studying the morphology separately for GM and WM looking at the entire brain [39–41]. A further advantage of this method is the objectivity and thus rater independence. We hypothesized that beside the previously reported atypical anatomical asymmetries in perisylvian and frontal areas there should be additional differences in further brain areas also involved in speech motor control. Because several studies report that the auditory system in stutterers is dysfunctional [19, 21, 42–47] especially during speaking (thus, emphasizing the role of auditory feedback in the context of stuttering), we anticipated structural peculiarities in the auditory cortex (Heschl's gyrus and the planum temporale) in this group. In addition, we also anticipated anatomical peculiarities in frontal brain areas and in the somatosensory and motor system controlling the speech muscles.
The sample included adults with PDS (n = 10) and controls (n = 10) matched according to sex, age and education. All subjects were consistent right-handers (CRH) according to the Annett handedness questionnaire (AHQ) . Our sample contained the approximate sex distribution as those reported in population studies of adults who stutter; thus, there were more men (n = 8) than women (n = 2) in this sample. The dysfluent sample was limited to adults with PDS who had been diagnosed with developmental stuttering before the age of 8 years and had undergone treatment at some point, but continued to be dysfluent. None of the subjects was taking centrally acting medications that could have resulted in PDS, and all met the clinical criteria of developmental stuttering – not acquired stuttering. Of the adults who stuttered, 50% had a family history of stuttering; none of the controls had a family history of stuttering. Stuttering severity was determined using the Stuttering Severity Inventory (SSI)  with individuals in the sample ranging from mild (2), moderate (7) to severe (1). All participants were native German speakers with no reported history of dyslexia, specific language impairment, attention deficit disorder, traumatic brain injury, substance abuse, or other neuropsychiatric conditions. All participants gave informed consent before participating.
MRI scanning protocol and data analysis
We used a Siemens 1.5 T magnet and a 22-min fast-low-angle-shot MR sequence yielding 128 contiguous sagittal slices with 1 × 1 × 1.17 mm image voxel size [68–70]. Data were analyzed on a PC workstation using MATLAB 5.3 (MathWorks, Natick, MA) and SPM 99 (Wellcome Dept. Cogn. Neurol, London; http://www.fil.ion.ucl.ac.uk/hbf.html) . Preprocessing were guided by the VBM method proposed by Godd et al. [40, 41]. In short, the following steps were conducted: (1) Spatial normalization of each brain to the MNI space using the MNI template; (2) spatial smoothing with an 8-mm full-width at half-maximum (FWHM) isotropic Gaussian kernel; (3) creating of a mean anatomical image from these normalized and smoothed scans; (4) stereotactic normalisation of all MRI scans (in native space) using the newly developed template and non-linear smooth spatial basis functions; (5) these spatially normalized images were resliced with a final voxel size of 2 × 2 × 2 mm3. The normalized scans were then segmented into grey (GM) and white matter (WM), cerebro spinal fluid (CSF), and other non-brain partitions applying the algorithmus implemented in SPM99 based on the algorithms developed by Ashburner and Friston [37, 38]. In order to sensitize our subsequent statistical analysis not only to differences in the GM (WM) proportions but also to differences in the true GM (WM) volumes a further processing step – known as the 'Jacobian Modulation – was incorporated. The partitioned images (GM and WM) were multiplied by the Jacobian determinants of the deformation field transforming the GM and WM density values into volume equivalents [38, 40]. The normalized, segmented (and modulated) images are smoothed using a 10-mm FWHM isotropic Gaussian kernel to improve statistical quality of the data (e.g., normal distribution).
Statistical analysis of VBM data
The normalized, smoothed, segmented (and modulated) data were analyzed using statistical parametric mapping (SPM99) employing the framework of the General Linear Model. Regionally specific differences in GM (and WM) (both for the density and the volume equivalents) between groups were assessed statistically using a two-tailed contrast. Corrections for the search volume (and implicit multiple comparisons) in terms of the P values were made using Gaussian random field theory, which accommodates spatial correlations inherent in the data and is now established as the conventional approach to inference in smooth spatially extended data. We restricted the search volume to the GM or WM volume enabling us to increase the statistical power of statistical testing. Significance levels for two-sided T statistics were set at T = 5 (corrected for multiple comparisons across the WM or GM volumes) and a spatial extend criterion of k = 50. The spatial extend of k = 50 was introduced because this volume size roughly corresponds to the size of a meaningful anatomical area (0.4 cm3).
Regions of increased WM volumes in stutterers. Indicated are the peak differences (in t-values), their stereotactically coordinates, and the associated anatomical labels derived from the MNI standard brain. Please note, there were no areas with increased WM volumes in controls compared to stutterers.
Coordinates (X, Y, Z)
R Superior temporal gyrus (STG)
R Inferior frontal gyrus (IFG)
R Middle frontal gyrus (MFG)
R Precentral gyrus (PrCG)
R Precentral gyrus (PrCG)
In addition, we did not find any correlation between the stuttering severity measures (SSI measures) and the anatomical peculiarities neither in the context of the VBM nor the ROI analysis.
This study was motivated by the question whether stutterers reveal morphological brain anomalies compared to non-stuttering controls. In fact, we found prominent increases of WM in stutterers within a right-hemispheric network including brain structures relevant for language and speech. These areas comprise the STG (including the auditory areas PT and HG), the IFG (including the pars opercularis which is part of Broca's right-sided homologue), the somatosensory area (including the face and mouth representation, as well as the mesial part of the hand representation), and the middle frontal gyrus (MFG). Our findings of regionally increased right-hemispheric WM in stutterers might suggest an increased and possibly atypical intrahemispheric communication within these areas via association fibres [50, 51] possibly accompanying different processing strategies in the right hemisphere in stutterers.
Three of the brain areas with different WM composition in stutterers are known to be involved in different speech and language functions. For example, the right IFG (including the pars opercularis) is involved in the perception and generation of phonological or prosodic speech features [52–55] while the ventral part of the precentral gyrus is part of the somatosensory representation of the mouth and tongue. The MFG has been shown to be involved during rhyme and tone perception . The core region of this network is the auditory cortex with neurons specialized for tone, pitch, and prosody perception [56, 57]. Within this circuit the auditory cortex plays a pivotal role because speech production follows the ultimate goal to generate speech sounds others can understand. The auditory cues in speech production are either phonetic cues (such as voice onset times or formant transitions) or specific suprasegmental features like duration, intensity, linguistic or emotional stress. During speech production the auditory system controls whether the appropriate auditory cues have been generated by means of auditory feedback control of the own speech. Several studies have shown that the auditory cortex is strongly involved in the continuous control of self-generated suprasegmental speech features (duration, intensity, stress pattern) and that this auditory feedback control is detrimental in stutterers [19–21, 45, 46, 58–60].
The auditory cortices in the two hemispheres are relatively specialized in normal subjects [56, 57]. Thus, temporal resolution is better in left auditory cortical areas and spectral resolution as well as processing of prolonged auditory information is better in right auditory cortical areas. It is thought that this functional specialisation is based on cytoarchitectonic peculiarities (more heavily myelinated axons and greater interconnectivity) and the relative composition of WM and GM in this area. In fact, in addition to the present findings, two previous studies [61, 62] found a leftward asymmetry of WM volume in the auditory cortex in healthy subjects. However, our findings show that stutterers do not reveal the typical leftward asymmetry; they rather show symmetry with an atypically enlarged WM volume in the right auditory cortex. This atypical symmetry of WM volume in the auditory cortex in stutterers might suggest different and perhaps deficient processing of slowly changing auditory cues necessary to control suprasegmental features. In fact several studies have shown that stutterers reveal substantial peculiarities with respect to various aspects of the auditory feedback of their own speech especially when they control suprasegmental speech features [19, 60, 63].
The reported morphological features complement previous morphological studies comparing stutterers and non-stutterers. Firstly, this study shows again that stutterers reveal atypical anatomical lateralisation in speech-relevant areas. In three areas (PrCG, MFG, and IFG) stutterers reveal more WM volumes on the right than on the left. For the auditory cortex (STG) we found symmetric WM volumes while non-stutterers typically show a leftward asymmetry for this measure. Thus, some kind of hemispheric imbalance seems to be related to persistent developing stuttering. Secondly, using a different method than Foundas et al. , we also found an atypical anatomical lateralisation in the auditory cortex expressed as an increased symmetry of WM volume. Thus, the different "hardware" composition of the auditory cortex in stutterers is a crucial peculiarity possibly determining the processing mode of the right auditory cortex and the interaction between both auditory cortices. Taken together, the present results and findings of previous behavioural and neuroimaging studies emphasize a specific role of the auditory cortex in stuttering. Thirdly, while Foundas et al.  found atypical anatomical lateralisation in prefrontal areas we detected increased WM volumes in the right anterior MFG which is part of the prefrontal cortex. Thus, the atypical prefrontal lateralization may be due to atypical lateralisation of the WM volume of the right MFG. Finally, our analysis also revealed an atypical asymmetry with respect to the WM volume in vicinity of the right sensorimotor cortex (including the face and mouth representation as well as parts of the hand representation) possibly suggesting that these areas use different processing strategies as compared to non-stuttering subjects. However, although we and others found large morphological differences between stutterers and non-stuttereres we cannot rule out the possibility that the anatomical differences are the consequence of stuttering rather than the cause. Persistent developmental stuttering commences early in life forcing the affected subject to cope with this annoying and detrimental situation. Thus, some kind of adaptation or cortical reorganisation might accompany this process. Indeed, several studies indicate that intensive practise of various skills might affect the brain even on the macroanatomical level [64, 65]. Future studies, however, are clearly needed to disentangle whether the anatomical peculiarities in stutterers are the cause or the consequence of stuttering.
These results provide strong evidence that adults with PDS have anomalous anatomy not only in perisylvian speech and language areas but also in prefrontal and sensorimotor areas. These anatomical features might indicate a deficiently working speech system. Whether this atypical asymmetry of WM is the cause or the consequence of stuttering is still an unanswered question.
This work was supported by a DFG grant awarded to LJ and HS.
- Comments on "Stuttering: a review of research findings and theories circa 1982" by Andrews et al. J Speech Hear Disord. 1983, 48: 246-263.Google Scholar
- Wingate ME: A standard definition of stuttering. J Speech Hear Disord. 1964, 29: 484-489.View ArticlePubMedGoogle Scholar
- Felsenfeld S: Finding susceptibility genes for developmental disorders of speech: the long and winding road. J Commun Disord. 2002, 35: 329-345. 10.1016/S0021-9924(02)00088-6.View ArticlePubMedGoogle Scholar
- Felsenfeld S, Kirk KM, Zhu G, Statham DJ, Neale MC, Martin NG: A study of the genetic and environmental etiology of stuttering in a selected twin sample. Behav Genet. 2000, 30: 359-366. 10.1023/A:1002765620208.View ArticlePubMedGoogle Scholar
- Buchel C, Sommer M: What Causes Stuttering?. PLoS Biol. 2004, 2: E46-View ArticlePubMedPubMed CentralGoogle Scholar
- Borden GJ, Baer T, Kenney MK: Onset of voicing in stuttered and fluent utterances. J Speech Hear Res. 1985, 28: 363-372.View ArticlePubMedGoogle Scholar
- Borden GJ: Initiation versus execution time during manual and oral counting by stutterers. J Speech Hear Res. 1983, 26: 389-396.View ArticlePubMedGoogle Scholar
- Metz DE, Conture EG, Caruso A: Voice onset time, frication, and aspiration during stutterers' fluent speech. J Speech Hear Res. 1979, 22: 649-656.View ArticlePubMedGoogle Scholar
- Jancke L, Hefter H, Kalveram KT: Fast finger extensions are slower in stutterers than in nonstutterers. Percept Mot Skills. 1995, 80: 1103-1107.View ArticlePubMedGoogle Scholar
- Vaughn CL, Webster WG: Bimanual handedness in adults who stutter. Percept Mot Skills. 1989, 68: 375-382.View ArticlePubMedGoogle Scholar
- Webster WG: Neuropsychological models of stuttering--II. Interhemispheric interference. Neuropsychologia. 1986, 24: 737-741. 10.1016/0028-3932(86)90014-X.View ArticlePubMedGoogle Scholar
- Webster WG: Neuropsychological models of stuttering--I. Representation of sequential response mechanisms. Neuropsychologia. 1985, 23: 263-267. 10.1016/0028-3932(85)90110-1.View ArticlePubMedGoogle Scholar
- Moore WHJ: Bilateral tachistoscopic word perception of stutterers and normal subjects. Brain Lang. 1976, 3: 434-442. 10.1016/0093-934X(76)90037-7.View ArticlePubMedGoogle Scholar
- Sommers RK, Brady WA, Moore WHJ: Dichotic ear preferences of stuttering children and adults. Percept Mot Skills. 1975, 41: 931-938.View ArticlePubMedGoogle Scholar
- Wells BG, Moore WHJ: EEG alpha asymmetries in stutterers and non-stutterers: effects of linguistic variables on hemispheric processing and fluency. Neuropsychologia. 1990, 28: 1295-1305. 10.1016/0028-3932(90)90045-P.View ArticlePubMedGoogle Scholar
- Travis LE: The cerebral dominance theory of stuttering: 1931--1978. J Speech Hear Disord. 1978, 43: 278-281.View ArticlePubMedGoogle Scholar
- Orton ST: A physiological theory of reading disability and stuttering in children. N Engl J Med. 1928, 199: 1046-1052.View ArticleGoogle Scholar
- Kalveram KT, Jancke L: Vowel duration and voice onset time for stressed and nonstressed syllables in stutterers under delayed auditory feedback condition. Folia Phoniatr (Basel). 1989, 41: 30-42.View ArticleGoogle Scholar
- Natke U, Grosser J, Sandrieser P, Kalveram KT: The duration component of the stress effect in stuttering. J Fluency Disord. 2002, 27: 305-317. 10.1016/S0094-730X(02)00163-8.View ArticlePubMedGoogle Scholar
- Salmelin R, Schnitzler A, Schmitz F, Jancke L, Witte OW, Freund HJ: Functional organization of the auditory cortex is different in stutterers and fluent speakers. Neuroreport. 1998, 9: 2225-2229.View ArticlePubMedGoogle Scholar
- Jancke L, Kaiser P, Bauer A, Kalveram KT: Upper lip, lower lip, and jaw peak velocity sequence during bilabial closures: no differences between stutterers and nonstutterers. J Acoust Soc Am. 1995, 97: 3900-3903.View ArticlePubMedGoogle Scholar
- Jäncke L, Bauer A, Kaiser P, Kalveram KT: Timing and stiffness in the speech motor control of stuttering and nonstuttering adults. J Fluency Disord. 1997, 22: 309-321. 10.1016/S0094-730X(97)00022-3.View ArticleGoogle Scholar
- Neumann K, Euler HA, von Gudenberg AW, Giraud AL, Lanfermann H, Gall V, Preibisch C: The nature and treatment of stuttering as revealed by fMRI A within- and between-group comparison. J Fluency Disord. 2003, 28: 381-409. 10.1016/j.jfludis.2003.07.003.View ArticlePubMedGoogle Scholar
- Preibisch C, Neumann K, Raab P, Euler HA, von Gudenberg AW, Lanfermann H, Giraud AL: Evidence for compensation for stuttering by the right frontal operculum. Neuroimage. 2003, 20: 1356-1364. 10.1016/S1053-8119(03)00376-8.View ArticlePubMedGoogle Scholar
- Fox PT, Ingham RJ, Ingham JC, Zamarripa F, Xiong JH, Lancaster JL: Brain correlates of stuttering and syllable production. A PET performance-correlation analysis. Brain. 2000, 123 ( Pt 10): 1985-2004. 10.1093/brain/123.10.1985.View ArticleGoogle Scholar
- Fox PT, Ingham RJ, Ingham JC, Hirsch TB, Downs JH, Martin C, Jerabek P, Glass T, Lancaster JL: A PET study of the neural systems of stuttering. Nature. 1996, 382: 158-161. 10.1038/382158a0.View ArticlePubMedGoogle Scholar
- Weber-Fox C: Neural systems for sentence processing in stuttering. J Speech Lang Hear Res. 2001, 44: 814-825.View ArticlePubMedGoogle Scholar
- Wu JC, Maguire G, Riley G, Fallon J, LaCasse L, Chin S, Klein E, Tang C, Cadwell S, Lottenberg S: A positron emission tomography [18F]deoxyglucose study of developmental stuttering. Neuroreport. 1995, 6: 501-505.View ArticlePubMedGoogle Scholar
- Ingham RJ, Fox PT, Ingham JC, Zamarripa F, Martin C, Jerabek P, Cotton J: Functional-lesion investigation of developmental stuttering with positron emission tomography. J Speech Hear Res. 1996, 39: 1208-1227.View ArticlePubMedGoogle Scholar
- Braun AR, Varga M, Stager S, Schulz G, Selbie S, Maisog JM, Carson RE, Ludlow CL: Altered patterns of cerebral activity during speech and language production in developmental stuttering. An H2(15)O positron emission tomography study. Brain. 1997, 120 ( Pt 5): 761-784. 10.1093/brain/120.5.761.View ArticleGoogle Scholar
- Jeffries KJ, Fritz JB, Braun AR: Words in melody: an H(2)15O PET study of brain activation during singing and speaking. Neuroreport. 2003, 14: 749-754. 10.1097/00001756-200304150-00018.View ArticlePubMedGoogle Scholar
- Strub RL, Black FW, Naeser MA: Anomalous dominance in sibling stutterers: evidence from CT scan asymmetries, dichotic listening, neuropsychological testing, and handedness. Brain Lang. 1987, 30: 338-350. 10.1016/0093-934X(87)90107-6.View ArticlePubMedGoogle Scholar
- Foundas AL, Bollich AM, Corey DM, Hurley M, Heilman KM: Anomalous anatomy of speech-language areas in adults with persistent developmental stuttering. Neurology. 2001, 57: 207-215.View ArticlePubMedGoogle Scholar
- Foundas AL, Corey DM, Angeles V, Bollich AM, Crabtree-Hartman E, Heilman KM: Atypical cerebral laterality in adults with persistent developmental stuttering. Neurology. 2003, 61: 1378-1385.View ArticlePubMedGoogle Scholar
- Sommer M, Koch MA, Paulus W, Weiller C, Buchel C: Disconnection of speech-relevant brain areas in persistent developmental stuttering. Lancet. 2002, 360: 380-383. 10.1016/S0140-6736(02)09610-1.View ArticlePubMedGoogle Scholar
- Ashburner J, Friston KJ: Why voxel-based morphometry should be used. Neuroimage. 2001, 14: 1238-1243. 10.1006/nimg.2001.0961.View ArticlePubMedGoogle Scholar
- Ashburner J, Friston KJ: Voxel-based morphometry--the methods. Neuroimage. 2000, 11: 805-821. 10.1006/nimg.2000.0582.View ArticlePubMedGoogle Scholar
- Good CD, Ashburner J, Frackowiak RS: Computational neuroanatomy: new perspectives for neuroradiology. Rev Neurol (Paris). 2001, 157: 797-806.Google Scholar
- Good CD, Johnsrude IS, Ashburner J, Henson RN, Friston KJ, Frackowiak RS: A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage. 2001, 14: 21-36. 10.1006/nimg.2001.0786.View ArticlePubMedGoogle Scholar
- Good CD, Johnsrude I, Ashburner J, Henson RN, Friston KJ, Frackowiak RS: Cerebral asymmetry and the effects of sex and handedness on brain structure: a voxel-based morphometric analysis of 465 normal adult human brains. Neuroimage. 2001, 14: 685-700. 10.1006/nimg.2001.0857.View ArticlePubMedGoogle Scholar
- Natke U: [Reduction of stuttering frequency using frequency-shifted and delayed auditory feedback]. Folia Phoniatr Logop. 2000, 52: 151-159. 10.1159/000021530.View ArticlePubMedGoogle Scholar
- Natke U, Donath TM, Kalveram KT: Control of voice fundamental frequency in speaking versus singing. J Acoust Soc Am. 2003, 113: 1587-1593. 10.1121/1.1543928.View ArticlePubMedGoogle Scholar
- Natke U, Kalveram KT: Effects of frequency-shifted auditory feedback on fundamental frequency of long stressed and unstressed syllables. J Speech Lang Hear Res. 2001, 44: 577-584.View ArticlePubMedGoogle Scholar
- Kalinowski J, Saltuklaroglu T: Choral speech: the amelioration of stuttering via imitation and the mirror neuronal system. Neurosci Biobehav Rev. 2003, 27: 339-347. 10.1016/S0149-7634(03)00063-0.View ArticlePubMedGoogle Scholar
- Kalinowski J: Self-reported efficacy of an all in-the-ear-canal prosthetic device to inhibit stuttering during one hundred hours of university teaching: an autobiographical clinical commentary. Disabil Rehabil. 2003, 25: 107-111.View ArticlePubMedGoogle Scholar
- Jancke L, Kalveram KT: [Control of on-time (duration of phonation) and voice onset time in right and left ear auditory feedback: different lateralization in stutterers and non-stutterers?]. Z Exp Angew Psychol. 1987, 34: 54-63.PubMedGoogle Scholar
- Annett M: A classification of hand preference by association analysis. Br J Psychol. 1970, 61: 303-321.View ArticlePubMedGoogle Scholar
- Riley GD: A stuttering severity instrument for children and adults. J Speech Hear Disord. 1972, 37: 314-322.View ArticlePubMedGoogle Scholar
- Jancke L, Schlaug G, Huang Y, Steinmetz H: Asymmetry of the planum parietale. Neuroreport. 1994, 5: 1161-1163.View ArticlePubMedGoogle Scholar
- Schlaug G, Jancke L, Huang Y, Steinmetz H: In vivo evidence of structural brain asymmetry in musicians. Science. 1995, 267: 699-701.View ArticlePubMedGoogle Scholar
- Steinmetz H, Volkmann J, Jancke L, Freund HJ: Anatomical left-right asymmetry of language-related temporal cortex is different in left- and right-handers. Ann Neurol. 1991, 29: 315-319.View ArticlePubMedGoogle Scholar
- Friston KJ, Holmes AP, Poline JB, Grasby PJ, Williams SC, Frackowiak RS, Turner R: Analysis of fMRI time-series revisited. Neuroimage. 1995, 2: 45-53. 10.1006/nimg.1995.1007.View ArticlePubMedGoogle Scholar
- Rademacher J, Morosan P, Schormann T, Schleicher A, Werner C, Freund HJ, Zilles K: Probabilistic mapping and volume measurement of human primary auditory cortex. Neuroimage. 2001, 13: 669-683. 10.1006/nimg.2000.0714.View ArticlePubMedGoogle Scholar
- Westbury CF, Zatorre RJ, Evans AC: Quantifying variability in the planum temporale: a probability map. Cereb Cortex. 1999, 9: 392-405. 10.1093/cercor/9.4.392.View ArticlePubMedGoogle Scholar
- Rauschecker JP, Tian B: Mechanisms and streams for processing of "what" and "where" in auditory cortex. Proc Natl Acad Sci U S A. 2000, 97: 11800-11806. 10.1073/pnas.97.22.11800.View ArticlePubMedPubMed CentralGoogle Scholar
- Rauschecker JP: Making brain circuits listen. Science. 1999, 285: 1686-1687. 10.1126/science.285.5434.1686.View ArticlePubMedGoogle Scholar
- Buchanan TW, Lutz K, Mirzazade S, Specht K, Shah NJ, Zilles K, Jancke L: Recognition of emotional prosody and verbal components of spoken language: an fMRI study. Brain Res Cogn Brain Res. 2000, 9: 227-238. 10.1016/S0926-6410(99)00060-9.View ArticlePubMedGoogle Scholar
- Riecker A, Wildgruber D, Dogil G, Grodd W, Ackermann H: Hemispheric lateralization effects of rhythm implementation during syllable repetitions: an fMRI study. Neuroimage. 2002, 16: 169-176. 10.1006/nimg.2002.1068.View ArticlePubMedGoogle Scholar
- Riecker A, Ackermann H, Wildgruber D, Meyer J, Dogil G, Haider H, Grodd W: Articulatory/phonetic sequencing at the level of the anterior perisylvian cortex: a functional magnetic resonance imaging (fMRI) study. Brain Lang. 2000, 75: 259-276. 10.1006/brln.2000.2356.View ArticlePubMedGoogle Scholar
- Wildgruber D, Hertrich I, Riecker A, Erb M, Anders S, Grodd W, Ackermann H: Distinct Frontal Regions Subserve Evaluation of Linguistic and Emotional Aspects of Speech Intonation. Cereb Cortex. 2004, 14: 1384-9. 10.1093/cercor/bhh099.View ArticlePubMedGoogle Scholar
- Zatorre RJ, Belin P, Penhune VB: Structure and function of auditory cortex: music and speech. Trends Cogn Sci. 2002, 6: 37-46. 10.1016/S1364-6613(00)01816-7.View ArticlePubMedGoogle Scholar
- Zatorre RJ, Belin P: Spectral and temporal processing in human auditory cortex. Cereb Cortex. 2001, 11: 946-953. 10.1093/cercor/11.10.946.View ArticlePubMedGoogle Scholar
- Kalinowski J, Dayalu VN: A common element in the immediate inducement of effortless, natural-sounding, fluent speech in people who stutter: 'the second speech signal'. Med Hypotheses. 2002, 58: 61-66. 10.1054/mehy.2001.1451.View ArticlePubMedGoogle Scholar
- Kalinowski J, Stuart A, Wamsley L, Rastatter MP: Effects of monitoring condition and frequency-altered feedback on stuttering frequency. J Speech Lang Hear Res. 1999, 42: 1347-1354.View ArticlePubMedGoogle Scholar
- Kalinowski J, Armson J, Roland-Mieszkowski M, Stuart A, Gracco VL: Effects of alterations in auditory feedback and speech rate on stuttering frequency. Lang Speech. 1993, 36 ( Pt 1): 1-16.Google Scholar
- Penhune VB, Zatorre RJ, MacDonald JD, Evans AC: Interhemispheric anatomical differences in human primary auditory cortex: probabilistic mapping and volume measurement from magnetic resonance scans. Cereb Cortex. 1996, 6: 661-672.View ArticlePubMedGoogle Scholar
- Anderson B, Southern BD, Powers RE: Anatomic asymmetries of the posterior superior temporal lobes: a postmortem study. Neuropsychiatry Neuropsychol Behav Neurol. 1999, 12: 247-254.PubMedGoogle Scholar
- Kalinowski J, Stuart A: Stuttering amelioration at various auditory feedback delays and speech rates. Eur J Disord Commun. 1996, 31: 259-269.View ArticlePubMedGoogle Scholar
- Munte TF, Altenmuller E, Jancke L: The musician's brain as a model of neuroplasticity. Nat Rev Neurosci. 2002, 3: 473-478.PubMedGoogle Scholar
- Draganski B, Gaser C, Busch V, Schuierer G, Bogdahn U, May A: Neuroplasticity: changes in grey matter induced by training. Nature. 2004, 427: 311-312. 10.1038/427311a.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2377/4/23/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.