Speech monitoring skills in Alzheimer's disease, Parkinson's disease, and normal aging

McNamara, Patrick J.; Obler, Loraine K.; Au, Rhoda; Durso, Raymon; Albert, Martin L.

doi:10.1016/0093-934x(92)90055-j

Cited by 77 publications

(64 citation statements)

References 16 publications

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“…It is also interesting to note that, in addition to articulatory models of speech production such as DIVA, models of prearticulatory error monitoring suggest that STG may also utilize perceptual feedback in the detection of phonological errors (Indefrey & Levelt, 2004), which research has shown to be abnormal in PD (Gauvin et al., 2017; McNamara, Obler, Au, Durso, & Albert, 1992). This raises another possibility that our observed reductions in left putamen–left STG connectivity in PDSI could be linked to broader changes in the online detection and correction of speech errors in PD.…”

Section: Discussionmentioning

confidence: 99%

Altered resting‐state functional connectivity of the putamen and internal globus pallidus is related to speech impairment in Parkinson's disease

et al. 2018

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IntroductionSpeech impairment in Parkinson's disease (PD) is pervasive, with life‐impacting consequences. Yet, little is known about how functional connections between the basal ganglia and cortex relate to PD speech impairment (PDSI). Whole‐brain resting‐state connectivity analyses of basal ganglia nuclei can expand the understanding of PDSI pathophysiology.MethodsResting‐state data from 89 right‐handed subjects were downloaded from the Parkinson's Progression Markers Initiative database. Subjects included 12 older healthy controls (“OHC”), 42 PD patients without speech impairment (“PDN”), and 35 PD subjects with speech impairment (“PDSI”). Subjects were assigned to PDN and PDSI groups based on the Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS‐UPDRS) Part III speech item scores (“0” vs. “1–4”). Whole‐brain functional connectivity was calculated for four basal ganglia seeds in each hemisphere: putamen, caudate, external globus pallidus (GPe), and internal globus pallidus (GPi). For each seed region, group‐averaged connectivity maps were compared among OHC, PDN, and PDSI groups using a multivariate ANCOVA controlling for the effects of age and sex. Subsequent planned pairwise t‐tests were performed to determine differences between the three groups using a voxel‐wise threshold of p < 0.001 and cluster‐extent threshold of 272 mm3 (FWE<0.05).ResultsIn comparison with OHCs, both PDN and PDSI groups demonstrated significant differences in cortical connectivity with bilateral putamen, bilateral GPe, and right caudate. Compared to the PDN group, the PDSI subjects demonstrated significant differences in cortical connectivity with left putamen and left GPi. PDSI subjects had lower connectivity between the left putamen and left superior temporal gyrus compared to PDN. In addition, PDSI subjects had greater connectivity between left GPi and three cortical regions: left dorsal premotor/laryngeal motor cortex, left angular gyrus, and right angular gyrus.ConclusionsThe present findings suggest that speech impairment in PD is associated with altered cortical connectivity with left putamen and left GPi.

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Section: Discussionmentioning

confidence: 99%

Altered resting‐state functional connectivity of the putamen and internal globus pallidus is related to speech impairment in Parkinson's disease

et al. 2018

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“…Editor theories (e.g., Levelt, 1989) can likewise explain this age-linked decline in error correction if internal editing becomes less efficient with aging. However, other studies have failed to observe age-linked declines in lexical error correction (McNamara, Obler, Au, Durso, & Albert, 1992), orthographic error correction (MacKay et al, 1999), orthographic error detection (MacKay et al, 1999;Shafto, 2002), and keypress error detection (Rabbitt, 1979), and the present data fit this pattern of mixed support: For experimental trials in the present study, young adults detected and corrected their errors no more often than older adults, and, contrary to post hoc predictions derived from editor theories, there was no agelinked increase in the probability of correcting errors on critical than noncritical segments, and no age-linked increase in the relative frequency of three-time versus two-time corrections in multiple error corrections.…”

Section: Discussionmentioning

confidence: 99%

Sequencing, Speech Production, and Selective Effects of Aging on Phonological and Morphological Speech Errors.

MacKay

James

2004

Psychology and Aging

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To test age-linked predictions of node structure theory (NST) and other theories, young and older adults performed a task that elicited large numbers of phonological and morphological speech errors. Stimuli were visually presented words containing either /p/ or /b/, and participants changed the /p/ to /b/ or vice versa and produced the resulting word as quickly as possible. For example, the correct response was "bunk" for the stimulus PUNK, and "ripped" for RIBBED. Consistent with NST predictions, the elicited speech errors exhibited selective effects of aging. Some error types decreased with aging. For example, young adults produced more nonsequential substitution errors (as a percentage of total errors) than older adults (e.g., intended bills misproduced as "gills"). However, other error types remained constant or increased with aging. For example, older adults produced more omission errors than young adults, especially omissions involving inflectional endings (e.g., intended ripped misproduced as "rip"). In addition, older adults exhibited special difficulties with 2 types of phonological and morphological sequencing processes.1 To distinguish spoken (phonological) units from written (orthographic) units, we follow the usual convention of indicating phonological units in International Phonetic Alphabet transcription within slashes (e.g., /p/) and orthographic units within square brackets (e.g., [P]). The stimulus words are indicated in capital letters.

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“…The perceptual loop theory has also met with criticism in recent years, both on theoretical grounds (MacKay, 1992a(MacKay, , 1992b, and on empirical grounds (Berg, 1986;Blackmer & Mitton;1991;Liss, 1998;Marshall, Robson, Pring, & Chiat, 1998;McNamara, Obler, Au, Durso, & Albert, 1992). MacKay's (1992aMacKay's ( , 1992b) most important criticism concerns the fact that the perceptual loop theory is not specific enough to generate testable predictions.…”

Section: Criticisms Of the Perceptual Loop Theorymentioning

confidence: 99%

“…In some of these cases, subjects fail to detect errors in their own speech, but do detect them when they are spoken by another person. Another example is that of McNamara et al (1992). These authors investigated error repair in patients with Parkinson's disease and with dementia of the Alzheimer type and compared them to a group of age-matched controls.…”

Section: Criticisms Of the Perceptual Loop Theorymentioning

confidence: 99%

Error Monitoring in Speech Production: A Computational Test of the Perceptual Loop Theory

Hartsuiker

Kolk

2001

Cognitive Psychology

200

209

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Speech monitoring skills in Alzheimer's disease, Parkinson's disease, and normal aging

Cited by 77 publications

References 16 publications

Altered resting‐state functional connectivity of the putamen and internal globus pallidus is related to speech impairment in Parkinson's disease

Altered resting‐state functional connectivity of the putamen and internal globus pallidus is related to speech impairment in Parkinson's disease

Sequencing, Speech Production, and Selective Effects of Aging on Phonological and Morphological Speech Errors.

Error Monitoring in Speech Production: A Computational Test of the Perceptual Loop Theory

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