A widely accepted watch of speech perception holds that in order to comprehend language the variable acoustic signal must be parsed into a set of abstract linguistic representations. With this paper we present the results of an fMRI-adaptation experiment which finds evidence of areas in the superior and medial temporal lobes which respond selectively to changes in the major feature categories of voicing and place of articulation. We present FCGR1A both single-subject and group-averaged analyses. found out discrete mapping of front side and back vowels (distinguished by either high or low found the greatest degree of successful classifica-tion for specific vowels in the bilateral superior temporal cortex particularly the STS/STG (Formisano et al. 2008 Formisano and colleagues have also traced consonant-specific effects to the posterior lender of Heschl’s gyrus and sulcus as well as the adjacent areas in the planum temporale (PT) bilaterally having a left-hemisphere bias (Kilian-Hütten et al. 2011 These findings suggest that activations delicate towards the acoustic properties signaling sub-segmental articles may be discovered quite early in the digesting stream and so are consistent with modern models of talk conception that implicate the bilateral STG/STS being a locus for phonological encoding (cf. Poeppel & Hickok (2004); Poeppel et al. (2007); Hickok & Poeppel (2000 2004 This research addresses both problems over specific anatomic variation as well as the elicitation of abstract encoding of talk sounds. We make use of an fMRI-adaptation paradigm wherein topics are offered an individual repeated stimulus item accompanied by a check NMS-1286937 item which differs in the repeated stimuli by some featural category. Version works on the idea that a pool of neurons sensitive to a particular stimulus house become fatigued with repeated exposure and are excited following the demonstration of a stimulus item in which that property offers changed. fMRI-adaptation has been used with success in additional cognitive domains particularly in vision where adaptation effects have been found in early visual control for stimulus features including orientation and color (Grill-Spector & Malach 2001 as well as with higher-order NMS-1286937 processes such as facial acknowledgement (Loffer et al. 2005 Adaptation has also been used in a handfull of spoken language studies in areas as varied as phoneme discrimination and categorical understanding (Wolmetz et al. 2010 Joanisse et al. 2007 speaker acknowledgement (Belin & Zatorre 2003 and emotional affect (Bestelmeyer et NMS-1286937 al. 2010 With this study we investigate whether the featural content material of consonants in CV syllables can be used like a basis to explain effects seen in an adaptation paradigm. The dissociation between acoustic similarity and featural similarity verified by behavorial screening of our stimuli makes it possible to use this paradigm to investigate the abstract composition consonant stimuli without the confounding influence of acoustic processing. Further given the expectation of significant individual anatomical variance in the NMS-1286937 temporal lobes and thus potentially spatially unique patterns of activation we targeted a small number of subjects to facilitate the assessment of any group-level effects which may emerge while also permitting analyses of single-subject activation patterns. While some individual variation is therefore predicted based on earlier literature the variance is definitely presumed to lay within fairly circumscribed areas. To wit suppression of the hemodynamic response after repetition of syllables should reflect an adaptation of some portion of the linguistic system. As non-word stimuli are utilized we expect this effect in the phonological system particularly and thus predict that adaptation effects will be seen in the bilateral temporal areas specially in the STG/STS and potentially centered adjacent to Heschl’s gyrus. Furthermore if consonant stimuli do participate some level NMS-1286937 of abstract encoding then the control of differing featural groups are anticipated to participate different low-level representations. As a result we expect discriminable patterns of activation unique to each featural switch. 2 Material and methods 2.1.