Your new experience awaits. Try the new design now and help us make it even better

REVIEW article

Front. Neurol., 13 August 2025

Sec. Neurorehabilitation

Volume 16 - 2025 | https://doi.org/10.3389/fneur.2025.1629640

Stroke-associated dysarthria

Lan-Xin Lin,Lan-Xin Lin1,2Shun-Yu Yao,Shun-Yu Yao1,2Quan Chen,Quan Chen1,2Miao-Qiao Du,Miao-Qiao Du1,2Xu-Hui Kang,Xu-Hui Kang1,2Dai-Yi Jiang,Dai-Yi Jiang1,2Yong Peng,
Yong Peng1,2*
  • 1Department of Neurology, Affiliated First Hospital of Hunan Traditional Chinese Medical College, Zhuzhou, China
  • 2Department of Neurology, Affiliated Provincial Hospital of Hunan University of Chinese Medicine, Zhuzhou, China

A stroke can damage various regions of the brain. Damage to the upper motor neurons of the pyramidal tracts causes unilateral upper motor neuron dysarthria or spastic dysarthria. Dysarthria caused by a stroke is characterized by the coexistence of neurological deficits such as hemiparesis, hemiataxia, clumsiness of one hand, central facial paresis, and tongue deviation. In this review, we summarize the association between stroke and dysarthria, highlight the relevant methods used to measure stroke-associated dysarthria, and discuss specific exercises, advice, explanations, strategies, and psychological support.

1 Introduction

Dysarthria is a motor speech disorder caused by damage to the neurological system, resulting in impaired or uncoordinated movement of muscles, including the lips, tongue, lower jaw, velum, vocal cords, and diaphragm. Stroke, traumatic brain injury, and cranial nerve paralysis are the most common neurological disorders causing dysarthria (1). Certain neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) can also manifest as dysarthria (2). Compared to healthy speakers, in individuals with dysarthria, the vocal articulation space is reduced and concentrated in vocal communication and is characterized by a limited range of motion in the tongue, with more pronounced limitations in the lower jaw and lower lip, slower articulation, and uncoordinated gestures (3, 4).

A stroke can damage different regions of the brain. Damage to the upper motor neurons of the pyramidal tracts causes unilateral upper motor neuron dysarthria or spastic dysarthria (3, 57).

In a survey of speech-language therapy provision for individuals with post-stroke dysarthria (PSD) in the UK, approximately half of the patients had dysarthria during the acute phase of stroke (8), after which the prevalence of residual impairment decreased to 27% in the following 6 months (9). Dysarthria after stroke has largely been neglected despite being profoundly disabling (10, 11).

Clinically, dysarthria can be categorized into seven subtypes: ataxic, flaccid, spastic, hypokinetic, hyperkinetic, unilateral upper motor neuron, and mixed. Dysarthria can be caused by various diseases, such as stroke, Parkinson’s disease, cerebral palsy, brain trauma, amyotrophic lateral sclerosis, and brain tumors. Among these underlying disorders, stroke is one of the leading causes of death and adult disabilities, and post-stroke dysarthria (PSD) accounts for more than 20% of all dysarthria cases (3). Dysarthria caused by stroke is characterized by the coexistence of neurological deficits such as hemiparesis, hemiataxia, clumsiness of one hand, central facial paresis, and tongue deviation (1, 12).

Post-stroke spastic dysarthria (PSSD) is an acquired speech disorder that arises from neurological injury and impairs speech intelligibility owing to tense, imprecise, slow, or uncoordinated muscle control. It results in abnormalities in breathing, vocalization, resonance, and rhythm, manifesting as slow and laborious speech, unclear pronunciation, and hypernasality, thereby affecting linguistic function, social participation, and psychological and emotional dimensions (13).

2 The association between dysarthria and stroke

Recent neuroimaging studies have shown that PSD is related to lesions in speech-related areas, including the primary motor cortex, lateral premotor cortex, prefrontal cortices, supplementary motor area, corona radiata, internal capsule, striatocapsular area, midbrain, pons, medulla, and cerebellum (1416). A systematic review of 24 observational studies suggested that brain lesions associated with PSD are located in the supratentorial and infratentorial regions (14).

Dysarthria is a type of communication impairment that commonly occurs after a stroke. It presents in various ways with varying degrees of severity, but it usually leads to reduced intelligibility owing to impaired speech production. Dysarthria affects 52% of stroke survivors. Stroke survivors with dysarthria experience poorer health outcomes, reduced psychological well-being, and more social isolation (17) compared to those with no communication difficulty (4).

Up to one-third of post-stroke survivors experience communication difficulties, including aphasia, dysarthria, or apraxia of speech, which lead to difficulties in language understanding, verbal expression, and writing (18). This synthesis reveals the ongoing difficulties faced by stroke survivors in coming to terms with the loss of communication and adapting to life with communication difficulties (18). Stroke survivors with self-reported communication disabilities appear to have a poorer quality of life between 90 and 180 days post-stroke compared to those without communication disabilities (19). The majority of stroke survivors with communication disabilities experience moderate to extreme levels of anxiety and depression at a greater frequency than those without communication disabilities (1921). This highlights the need for the early identification of anxiety and depression in individuals with communication problems to facilitate preventative interventions and long-term psychological care (19, 22, 23) (see Table 1).

Table 1
www.frontiersin.org

Table 1. Overview of stroke associated dysarthria.

A synthesis of qualitative research demonstrated that the impact of communication difficulties extends beyond the symptomatic manifestation of the medical impairment and influences social relationships, mood, and activities of daily living. The World Health Organization (WHO) International Classification of Functioning, Disability, and Health recognizes the complex interplay of biological, psychological, and social factors that may influence health. The findings from the current review support this model and suggest that more psychosocial factors should be considered in the rehabilitation of patients with post-stroke communication difficulties (18).

In Urban et al.’s (24) study of 68 consecutive patients with sudden-onset dysarthria due to a single infarction, confirmed by magnetic resonance imaging or computed tomography, dysarthria was associated with a classic lacunar stroke syndrome in 52.9% of the patients. Isolated dysarthria and dysarthria-associated central facial and lingual paresis occurred in 2.9% (n = 52) and 10.3% (n = 57) of the patients, respectively.

Kayali et al. (1) reported six patients with isolated hypoglossal palsy (IHP) caused by supratentorial ischemic lesions and found that a small lacunar infarction on the corona radiata might cause IHP, and patients with this condition may present with isolated dysarthria. The corona radiata consists of cortical projections in the precentral gyrus of the frontal motor cortex. Following their origin in the frontal motor cortex, the corticobulbar and corticospinal projections pass through the corona radiata. This region receives its vascular supply from the cortical branches of the MCA (25). In this region, the fibers are located too closely to each other. Therefore, ischemic lesions in this region, including lacunar lesions, are generally characterized by several neurological findings with or without lingual paresis (26, 27) (Figure 1).

Figure 1
Illustration of the human brain showing labeled sections. The left image is a sagittal view with labels for prefrontal cortex, lateral premotor cortex, primary motor cortex, pontine, medulla, midbrain, and cerebellum. The right image is a coronal view with labels for corona radiata, internal sac, and striate sac area.

Figure 1. Stroke-associated dysarthria and lesion localization. This figure illustrates the relationship between stroke-associated dysarthria and lesions in key speech-related brain regions. In particular, the primary motor cortex, lateral premotor cortex, prefrontal cortices, supplementary motor area, corona radiata, internal capsule, striatocapsular area, midbrain, pons, medulla, and cerebellum are implicated.

3 Therapies for stroke-associated dysarthria

The “living well with dysarthria” domain highlights the importance of quality of life, psychological well-being, and confidence in communication. Communication impairment has an adverse impact on quality of life (4, 19).

Starting speech therapy immediately after a stroke can enhance recovery. Early, consistent, and intensive treatment results in significantly better outcomes (28). However, despite the recognition of the importance of early intervention, there is a significant lack of clinical studies specifically targeting PSD, particularly in the early stages of stroke (29), underscoring the need for further studies. Furthermore, research is required to determine the benefits and risks of early intervention after stroke (30).

Post-stroke dysarthria belongs to the category of “aphasia” in traditional Chinese medicine. Its pathogenesis includes obstruction of the tongue orifices, a strong tongue, and an inability to speak (31, 32).

Current treatments for stroke-associated dysarthria include breathing exercises, speech training, the Lee Silverman voice treatment, oral motor therapy, proprioceptive neuromuscular facilitation therapy, hyperbaric oxygen therapy, phonation myoelectric stimulation, music therapy, and psychotherapy (33). New therapies, such as stem cell therapy, repetitive transcranial magnetic stimulation (rTMS), transcranial direct current stimulation, motor imagery, virtual reality, acupuncture, Liuzijue Qigong, and novel robotic therapies, have also been introduced in recent years (33, 34).

In dysarthric speech, the vowel space is used for objective acoustic evaluation through the formant measurement of vowels. In particular, the vowel space area (VSA) is associated with the intelligibility of vowels and their correct articulation (3538). The articulation mechanisms involved in speech disorders with vowel production deficits include reduced excursion and velocity of lingual, lip, and jaw movements and abnormal motion timing (39).

Mou et al. (3) documented the acoustic features of vowel production in Mandarin-speaking patients with PSD; all vowel categories in the patients with PSD showed greater variation than those in healthy speakers. Among the patients, there was a significant overlap between the categories of vowels and reduced vowel space. The magnitude of vowel dispersion and overlap between vowel categories increased as a function of disorder severity. Studying the differences in the public characteristics of patients with post-traumatic disorder and healthy individuals can provide guidance for clinical rehabilitation and improve speech intelligibility in patients with post-traumatic disorder. Articulatory inaccuracy; imprecise consonant articulation; harsh, hoarse, and breathy voice quality; monopitching and loudness; and speech pauses were the most common features observed via auditory–perceptual assessments following a stroke (40, 41). Thus, while assessing patients with dysarthria or swallowing difficulties after stroke, articulation evaluation, including measurements of the vowel space, can be performed to predict dysphagia severity. In addition, speech therapy may be useful in improving swallowing difficulties and preventing complications such as aspiration pneumonia (36).

Ge et al. (42) verified the acoustic characteristics of vowel production in different populations, genders, and tones. The results of this study highlighted the important role played by multiple quantitative acoustic metrics in describing vowel production in Mandarin-speaking clients with PSSD. The second formant (F2) range, VSA, vowel articulation index, and formant centralization ratio are effective in capturing vowel production in PSSD (5, 42).

Over the past few years, various automated speech analysis techniques have been employed to enhance the diagnosis of ALS by detecting subclinical changes. These research efforts have utilized diverse machine learning methods and, in certain instances, attained high levels of diagnostic accuracy through simple tasks, such as sustained phonation of vowels or syllable repetition (2, 43). A clinical investigation was conducted to gather data that could aid in the identification of novel acoustic markers. These markers played a role in the development of a decision tree that effectively stratified the severity of dysarthria, particularly in patients with pronounced speech deficits (43). Based on these speech technologies, dysarthria can be detected, its severity can be assessed, and improvement after stroke treatment can be evaluated.

Interventions for dysarthria typically involve specific exercises, advice, explanations, strategies, or psychological support, depending on the individual’s needs and goals. Impairment-level interventions, such as breathing exercises to improve breath support and control, as well as non-speech oromotor movements to improve the strength, speed, or accuracy of oral muscle movement, may be used. Activity-level strategies to improve intelligibility, such as slowing down speech, overarticulating words, text-to-speech aids, or alphabet charts to spell letters or words, may improve communication success. Psychological support for wider participation may include explanations and education on dysarthria and working with communication partners or communication support groups. Clinical needs often reflect an individual’s previous communication demands and their stage or acceptance of recovery (44). ReaDySpeech is an online program developed through one-on-one interviews and small group discussions with clinicians and patients. As a tailored intervention, it enables therapists to select exercises and activities focused on improving intelligibility. Designed to be user-friendly, accessible, and engaging, it aims to increase uptake and, crucially, treatment intensity (45). Mitchella et al. (45) evaluated the feasibility of a randomized controlled trial on the use of ReaDySpeech for patients with PSD and found that recruitment and retention in this randomized controlled trial of computerized therapy for dysarthria are feasible for patients with acute stroke.

Speech rehabilitation training is commonly used by speech and language therapists as a conventional treatment for PSD (11, 46, 47). Chiaramonte et al. (48) assessed the effectiveness of speech therapy on stroke-related dysarthria: the alternating and sequential motion rate (AMR-Pə, AMR-Tə, AMR-Kə, and SMR-PəTəKə) and maximum phonation time significantly improved after speech rehabilitative treatment.

The rate of speech (ROS) represents the number of words per minute (WPM) spoken by a person. The mean ROS score is used as a diagnostic index and an indicator of success in speech therapy (10). Tamplin showed that ROS levels increased by approximately 10 WPM after music therapy intervention (11).

At present, foreign interventions for dysarthria include a series of strategies such as neurological rehabilitation, behavioral exercise, and social support (49). Behavioral speech exercises can strengthen the breathing and oral muscles to improve speech control. Strategies such as slowing down speech or controlling the pitch are also used to improve speech clarity. Individualized treatment is based on the patient’s prior communication skills, recovery stage, and needs (50).

In Chinese domestic research over the past decade, clinical trials on acupuncture for PSD have shown positive therapeutic effects (51). Su et al. (52) demonstrated that acupuncture, by regulating a suite of molecular signaling pathways involved in redox homeostasis, not only activates the endogenous antioxidant enzyme system but also suppresses the excessive production of reactive oxygen species. Acupuncture intervention can significantly reduce infarct size. In addition, it enhances cerebral blood circulation to promote regional energy metabolism, and it regulates blood lipid metabolism to counteract free radical damage in the brain (53).

Acupuncture can improve nerve sensitivity and promote the recovery of motor function. Tongue acupuncture for the treatment of dysarthria is a new method of acupoint selection that improves the original traditional acupoint selection method by increasing the number of tongue points and manipulation (51).

Tongue acupuncture can increase central nervous system excitability and enhance the functional activity of the language area of the brain (51). A meta-analysis indicated that tongue acupuncture outperformed conventional acupuncture in the management of PSD [OR = 3.62, 95%CI(2.24, 5.85), p < 0.0001, I2 = 0.0%] (51) Yang et al. (33) reported that the combination of acupuncture and language rehabilitation training exhibited the most pronounced therapeutic effect in the management of dysarthria symptoms, with tongue acupuncture and nape acupuncture following in efficacy. Furthermore, the synergistic effect of acupuncture combined with language training was superior to that of acupuncture monotherapy.

The acupoints of the tri-tongue needle are located near the tongue root. As the meridians of the liver, heart, Ren, kidney, and spleen all pass through the tongue in different ways, tri-tongue acupuncture (a group of acupuncture points targeting tongue-related disorders) can move local Qi and blood, dredge meridians, and regulate viscera (32).

Man et al. (31) adopted low-frequency pulsed electrical stimulation combined with tri-tongue acupuncture to treat PSD. After treatment, the total effective rate in the treatment group was 95.56%, which was significantly higher than that in the control group [82.22% (p < 0.05)], suggesting that the combination of low-frequency pulsed electrical stimulation and tri-tongue acupuncture can improve clinical efficacy.

Scalp acupuncture, which is based on traditional acupuncture, is widely used to prevent and treat diseases in specific functional areas of the brain. It has become an effective treatment method for stroke-related dysfunction to reduce negative emotions and improve quality of life in patients with stroke (54).

Liuzijue Qigong, a traditional Chinese fitness exercise compiled by the China Qigong Management Center, is derived from traditional Chinese medicine and involves breathing exercises along with the mantras of the six speech sounds (Xu, He, Hu, Si, Chui, and Xi) (13, 55). Individuals first inhale through the nose and then exhale, forming six distinct tongue and mouth shapes. Simultaneously, they perform proper upper-limb movements to control breathing from top to bottom and vice versa (55, 56). Wang et al. (55) found that Liuzijue Qigong could better improve respiratory control and comprehensive speech ability in patients with stroke-related dysarthria compared to traditional breathing training. Following 3 weeks of intervention, the improvement in speech and breathing function was significantly greater in the Liuzijue Qigong group than in the control group that received basic articulation and traditional breathing training (p = 0.011) (55).

Non-invasive brain stimulation (NIBS) methods can monitor and regulate the excitability of intracortical neuronal circuits. Prolonged cortical stimulation may have enduring effects on brain function, thereby justifying the therapeutic use of NIBS in chronic neurological disorders (57). Di Pino et al. (57) proposed that the selection of NIBS should be based on the projected recovery mechanism of each patient. The optimal NIBS protocol depends on the patient’s functional reserve (which determines whether the interhemispheric rivalry model is applicable), stroke type (subcortical vs. cortical or ischemic vs. hemorrhagic), and stroke phase (acute, subacute, or chronic).

Repetitive transcranial magnetic stimulation (rTMS) is a therapeutic technique for post-stroke rehabilitation (58), which generates a magnetic field and induces an electric current that stimulates the superficial brain tissues and depolarizes the neurons of the target cortical tissues (59, 60). It has a neuroprotective effect on the modulation of neuroplasticity, and it improves the brain’s capacity to retrain neural circuits and promotes the restoration and acquisition of new compensatory skills (58). Furthermore, rTMS has been proven to be safe and effective for treating stroke complications. Functional brain activity can be optimized by applying excitatory or inhibitory electromagnetic pulses to the hemisphere ipsilateral or contralateral to the lesion, as well as to the level of the transcallosal pathway, to regulate interhemispheric communication (58).

Transcranial direct current stimulation (tDCS) is an invasive neuromodulation method that targets the central nervous system (61). It uses a weak (0.5–2 mA) direct current applied through electrodes on the scalp to shift the resting neuronal membrane potential toward either depolarization or hyperpolarization to change cortical tissue excitability (51). The present study documented the beneficial effect of tDCS on speech in the primary motor cortex, which reversibly polarizes the brain region by applying a mild direct current locally (62, 63). In addition, a combination of tDCS and speech therapy may promote recovery from PSD (62) (Figure 2).

Figure 2
Flowchart illustrating treatments for stroke-associated dysarthria and their benefits. Treatments include breathing exercises, speech training, transcranial direct current stimulation, repetitive transcranial magnetic stimulation, psychotherapy, acupuncture, and Liuzijue qigong. Benefits listed range from improved oral muscle movement and nerve sensitivity to enhancement of respiratory control and emotional well-being.

Figure 2. Therapies for stroke-associated dysarthria. This diagram illustrates therapies for stroke-associated dysarthria, including breathing exercises, speech training, psychotherapy, repetitive transcranial magnetic stimulation, transcranial direct current stimulation, acupuncture, and Liuzijue Qigong. Key Mechanisms: breathing exercises: they improve strength, speed, and accuracy of oral muscle movement. Speech training: this strengthens breathing and oral muscles. Psychotherapy: this improves negative emotions and quality of life. Repetitive transcranial magnetic stimulation: This retrains neural circuits and promotes restoration and acquisition of new compensatory skills. Transcranial direct current stimulation: this has a beneficial effect on speech by modulating activity in the primary motor cortex. Acupuncture: this improves nerve sensitivity. Liuzijue Qigong: this improves respiratory control and comprehensive speech ability.

4 Discussion

Although the importance of early intervention has been recognized, there is a significant lack of clinical studies specifically targeting PSD, particularly in the early stages of stroke (29).

Currently, speech therapy is cumbersome and repetitive, which negatively affects treatment compliance. In addition, patients may face treatment resource limitations, as speech therapy requires significant time and effort from clinicians. Approximately one-third of patients receive adequate speech therapy. In addition, the amount and frequency of treatment vary across patients (29). Further studies with larger sample sizes are needed to better understand the effects of speech therapy interventions on the mental health of patients with PSD (29).

We need to focus on the ability of patients with stroke-related dysarthria to live well and emphasize the importance of their quality of life, mental health, and communication confidence.

Author contributions

L-XL: Investigation, Methodology, Writing – original draft, Writing – review & editing. S-YY: Writing – original draft. QC: Writing – original draft. M-QD: Writing – original draft. X-HK: Writing – original draft, Writing – review & editing. D-YJ: Writing – original draft. YP: Conceptualization, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Scientific Research Project of Hunan Provincial Health Commission, China (No. C202303076574 to YP), Key Plans of Hunan Administration Traditional Chinese Medicine, China (No. A2023039 to YP), University-Hospital Joint-Fund of Hunan University of Chinese Medicine, China (No. 2022XYLH198 to YP), Fund for Creative Research Group of Affiliated First Hospital of Hunan Traditional Chinese Medical College, China (No. 2021B-003 to YP), and Technology Plan Project of Zhuzhou City, Hunan Province, China (No. 2021-009 to YP).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Kayali, N, and Temel, M. Isolated dysarthria due to hypoglossal palsy caused by supratentorial ischemic stroke: radiological and electropsyological analysis. Clin Neurol Neurosurg. (2021) 202:106545. doi: 10.1016/j.clineuro.2021.106545

PubMed Abstract | Crossref Full Text | Google Scholar

2. Dubbioso, R, Spisto, M, Verde, L, Iuzzolino, VV, Senerchia, G, Salvatore, E, et al. Voice signals database of ALS patients with different dysarthria severity and healthy controls. Sci Data. (2024) 11:800. doi: 10.1038/s41597-024-03597-2

PubMed Abstract | Crossref Full Text | Google Scholar

3. Mou, Z, Chen, Z, Yang, J, and Xu, L. Acoustic properties of vowel production in mandarin-speaking patients with post-stroke dysarthria. Sci Rep. (2018) 8:14188. doi: 10.1038/s41598-018-32429-8

PubMed Abstract | Crossref Full Text | Google Scholar

4. Mitchell, C, Woodward-Nutt, K, Dancer, A, Taylor, S, Bugler, J, Bowen, A, et al. Towards a core outcome set for dysarthria after stroke: what should we measure? Clin Rehabil. (2024) 38:802–10. doi: 10.1177/02692155241231929

PubMed Abstract | Crossref Full Text | Google Scholar

5. Lansford, KL, and Liss, JM. Vowel acoustics in dysarthria: speech disorder diagnosis and classification. J Speech Lang Hear Res. (2014) 57:57–67. doi: 10.1044/1092-4388(2013/12-0262)

PubMed Abstract | Crossref Full Text | Google Scholar

6. Lansford, KL, and Liss, JM. Vowel acoustics in dysarthria: mapping to perception. J Speech Lang Hear Res. (2014) 57:68–80. doi: 10.1044/1092-4388(2013/12-0263)

PubMed Abstract | Crossref Full Text | Google Scholar

7. Kim, Y, Kent, RD, and Weismer, G. An acoustic study of the relationships among neurologic disease, dysarthria type, and severity of dysarthria. J Speech Lang Hear Res. (2011) 54:417–29. doi: 10.1044/1092-4388(2010/10-0020)

PubMed Abstract | Crossref Full Text | Google Scholar

8. Mackenzie, C. Dysarthria in stroke: a narrative review of its description and the outcome of intervention. Int J Speech Lang Pathol. (2011) 13:125–36. doi: 10.3109/17549507.2011.524940

PubMed Abstract | Crossref Full Text | Google Scholar

9. Geddes, JM, Fear, J, Tennant, A, Pickering, A, Hillman, M, and Chamberlain, MA. Prevalence of self reported stroke in a population in northern England. J Epidemiol Community Health. (1996) 50:140–3. doi: 10.1136/jech.50.2.140

PubMed Abstract | Crossref Full Text | Google Scholar

10. Chiaramonte, R, and Vecchio, M. A systematic review of measures of dysarthria severity in stroke patients. PM R. (2021) 13:314–24. doi: 10.1002/pmrj.12469

PubMed Abstract | Crossref Full Text | Google Scholar

11. Miller, N, and Bloch, S. A survey of speech-language therapy provision for people with post-stroke dysarthria in the UK. Int J Lang Commun Disord. (2017) 52:800–15. doi: 10.1111/1460-6984.12316

PubMed Abstract | Crossref Full Text | Google Scholar

12. Ichikawa, K, and Kageyama, Y. Clinical anatomic study of pure dysarthria. Stroke. (1991) 22:809–12. doi: 10.1161/01.str.22.6.809

PubMed Abstract | Crossref Full Text | Google Scholar

13. Xia, J, Pei, S, Chen, Z, Wang, L, Hu, J, and Wang, J. Effects of conventional speech therapy with Liuzijue qigong, a traditional Chinese method of breath training, in 70 patients with post-stroke spastic dysarthria. Med Sci Monit. (2023) 29:e939623. doi: 10.12659/MSM.939623

PubMed Abstract | Crossref Full Text | Google Scholar

14. Summaka, M, Hannoun, S, Harati, H, Daoud, R, Zein, H, Estephan, E, et al. Neuroanatomical regions associated with non-progressive dysarthria post-stroke: a systematic review. BMC Neurol. (2022) 22:353. doi: 10.1186/s12883-022-02877-x

PubMed Abstract | Crossref Full Text | Google Scholar

15. Baumann, A, Nebel, A, Granert, O, Giehl, K, Wolff, S, Schmidt, W, et al. Neural correlates of hypokinetic dysarthria and mechanisms of effective voice treatment in Parkinson disease. Neurorehabil Neural Repair. (2018) 32:1055–66. doi: 10.1177/1545968318812726

PubMed Abstract | Crossref Full Text | Google Scholar

16. Kumral, E, Celebisoy, M, Celebisoy, N, Canbaz, DH, and Calli, C. Dysarthria due to supratentorial and infratentorial ischemic stroke: a diffusion-weighted imaging study. Cerebrovasc Dis. (2007) 23:331–8. doi: 10.1159/000099131

PubMed Abstract | Crossref Full Text | Google Scholar

17. Brady, MC, Clark, AM, Dickson, S, Paton, G, and Barbour, RS. The impact of stroke-related dysarthria on social participation and implications for rehabilitation. Disabil Rehabil. (2011) 33:178–86. doi: 10.3109/09638288.2010.517897

PubMed Abstract | Crossref Full Text | Google Scholar

18. Wray, F, and Clarke, D. Longer-term needs of stroke survivors with communication difficulties living in the community: a systematic review and thematic synthesis of qualitative studies. BMJ Open. (2017) 7:e017944. doi: 10.1136/bmjopen-2017-017944

PubMed Abstract | Crossref Full Text | Google Scholar

19. Thayabaranathan, T, Baker, C, Andrew, NE, Stolwyk, R, Thrift, AG, Carter, H, et al. Exploring dimensions of quality-of-life in survivors of stroke with communication disabilities—a brief report. Top Stroke Rehabil. (2023) 30:603–9. doi: 10.1080/10749357.2022.2095087

PubMed Abstract | Crossref Full Text | Google Scholar

20. Hilari, K, Needle, JJ, and Harrison, KL. What are the important factors in health-related quality of life for people with aphasia? A systematic review. Arch Phys Med Rehabil. (2012) 93:S86–S95.e4. doi: 10.1016/j.apmr.2011.05.028

PubMed Abstract | Crossref Full Text | Google Scholar

21. Zanella, C, Laures-Gore, J, Dotson, VM, and Belagaje, SR. Incidence of post-stroke depression symptoms and potential risk factors in adults with aphasia in a comprehensive stroke center. Top Stroke Rehabil. (2023) 30:448–58. doi: 10.1080/10749357.2022.2070363

PubMed Abstract | Crossref Full Text | Google Scholar

22. Kneebone, II. Stepped psychological care after stroke. Disabil Rehabil. (2016) 38:1836–43. doi: 10.3109/09638288.2015.1107764

PubMed Abstract | Crossref Full Text | Google Scholar

23. Baker, C, Worrall, L, Rose, M, Hudson, K, Ryan, B, and O'Byrne, L. A systematic review of rehabilitation interventions to prevent and treat depression in post-stroke aphasia. Disabil Rehabil. (2018) 40:1870–92. doi: 10.1080/09638288.2017.1315181

PubMed Abstract | Crossref Full Text | Google Scholar

24. Urban, PP, Wicht, S, Vukurevic, G, Fitzek, C, Fitzek, S, Stoeter, P, et al. Dysarthria in acute ischemic stroke: lesion topography, clinicoradiologic correlation, and etiology. Neurology. (2001) 56:1021–7. doi: 10.1212/wnl.56.8.1021

PubMed Abstract | Crossref Full Text | Google Scholar

25. Savoiardo, M. The vascular territories of the carotid and vertebrobasilar systems. Diagrams based on CT studies of infarcts. Ital J Neurol Sci. (1986) 7:405–9. doi: 10.1007/bf02283018

PubMed Abstract | Crossref Full Text | Google Scholar

26. Fisher, CM. Lacunes: small, deep cerebral infarcts. Neurology. (2011) 77:2104. doi: 10.1212/01.wnl.0000410087.34228.7d

PubMed Abstract | Crossref Full Text | Google Scholar

27. Sacco, SE, Whisnant, JP, Broderick, JP, Phillips, SJ, and O'Fallon, WM. Epidemiological characteristics of lacunar infarcts in a population. Stroke. (1991) 22:1236–41. doi: 10.1161/01.str.22.10.1236

Crossref Full Text | Google Scholar

28. Kiran, S, and Thompson, CK. Neuroplasticity of language networks in aphasia: advances, updates, and future challenges. Front Neurol. (2019) 10:295. doi: 10.3389/fneur.2019.00295

PubMed Abstract | Crossref Full Text | Google Scholar

29. Kim, Y, Kim, M, Kim, J, and Song, TJ. Smartphone-based speech therapy for Poststroke dysarthria: pilot randomized controlled trial evaluating efficacy and feasibility. J Med Internet Res. (2024) 26:e56417. doi: 10.2196/56417

PubMed Abstract | Crossref Full Text | Google Scholar

30. Godecke, E, Armstrong, E, Rai, T, Ciccone, N, Rose, ML, Middleton, S, et al. A randomized control trial of intensive aphasia therapy after acute stroke: the very early rehabilitation for SpEech (VERSE) study. Int J Stroke. (2021) 16:556–72. doi: 10.1177/1747493020961926

PubMed Abstract | Crossref Full Text | Google Scholar

31. Man, B, Li, WW, Xu, JF, and Wang, Q. Clinical study on tri-tongue acupuncture combined with low-frequency electrical stimulation for treating post-stroke dysarthria. World J Clin Cases. (2022) 10:12587–93. doi: 10.12998/wjcc.v10.i34.12587

PubMed Abstract | Crossref Full Text | Google Scholar

32. Institute of Biomedical Sciences DoA, Federal University of Alfenas, Alfenas, Brazil, Institute of Biomedical Sciences DoA, Federal University of Alfenas, Alfenas, Brazil, Institute of Biomedical Sciences DoA, Federal University of Alfenas, Alfenas, Brazil, Institute of Biomedical Sciences DoA, Federal University of Alfenas, Alfenas, Brazil, Acupuncture CfSo, Therapies A. Use of acupuncture in the treatment of temporomandibular dysfunction. Rev Int Acupunt. (2019) 13:76–81. doi: 10.1016/j.acu.2019.10.001

Crossref Full Text | Google Scholar

33. Yang, X, Shi, L, Ran, D, Li, M, Qin, C, and An, Z. The treatment of post-stroke dysarthria with a combination of different acupuncture types and language rehabilitation training: a systematic review and network meta-analysis. Ann Transl Med. (2022) 10:1281. doi: 10.21037/atm-22-5583

PubMed Abstract | Crossref Full Text | Google Scholar

34. Coupar, F, Pollock, A, van Wijck, F, Morris, J, and Langhorne, P. Simultaneous bilateral training for improving arm function after stroke. Cochrane Database Syst Rev. (2010) 2010:CD006432. doi: 10.1002/14651858.CD006432.pub2

PubMed Abstract | Crossref Full Text | Google Scholar

35. Ferguson, SH, and Kewley-Port, D. Talker differences in clear and conversational speech: acoustic characteristics of vowels. J Speech Lang Hear Res. (2007) 50:1241–55. doi: 10.1044/1092-4388(2007/087)

PubMed Abstract | Crossref Full Text | Google Scholar

36. Park, EJ, Yoo, SD, Kim, HS, Lee, JH, Yun, DH, Kim, DH, et al. Correlations between swallowing function and acoustic vowel space in stroke patients with dysarthria. NeuroRehabilitation. (2019) 45:463–9. doi: 10.3233/nre-192904

PubMed Abstract | Crossref Full Text | Google Scholar

37. Liu, HM, Tsao, FM, and Kuhl, PK. The effect of reduced vowel working space on speech intelligibility in mandarin-speaking young adults with cerebral palsy. J Acoust Soc Am. (2005) 117:3879–89. doi: 10.1121/1.1898623

PubMed Abstract | Crossref Full Text | Google Scholar

38. Neel, AT. Vowel space characteristics and vowel identification accuracy. J Speech Lang Hear Res. (2008) 51:574–85. doi: 10.1044/1092-4388(2008/041)

PubMed Abstract | Crossref Full Text | Google Scholar

39. Yunusova, Y, Weismer, G, Westbury, JR, and Lindstrom, MJ. Articulatory movements during vowels in speakers with dysarthria and healthy controls. J Speech Lang Hear Res. (2008) 51:596–611. doi: 10.1044/1092-4388(2008/043)

PubMed Abstract | Crossref Full Text | Google Scholar

40. De Cock, E, Oostra, K, Bliki, L, Volkaerts, AS, Hemelsoet, D, De Herdt, V, et al. Dysarthria following acute ischemic stroke: prospective evaluation of characteristics, type and severity. Int J Lang Commun Disord. (2021) 56:549–57. doi: 10.1111/1460-6984.12607

PubMed Abstract | Crossref Full Text | Google Scholar

41. Urban, PP, Rolke, R, Wicht, S, Keilmann, A, Stoeter, P, Hopf, HC, et al. Left-hemispheric dominance for articulation: a prospective study on acute ischaemic dysarthria at different localizations. Brain. (2006) 129:767–77. doi: 10.1093/brain/awh708

PubMed Abstract | Crossref Full Text | Google Scholar

42. Ge, S, Wan, Q, Yin, M, Wang, Y, and Huang, Z. Quantitative acoustic metrics of vowel production in mandarin-speakers with post-stroke spastic dysarthria. Clin Linguist Phon. (2021) 35:779–92. doi: 10.1080/02699206.2020.1827295

PubMed Abstract | Crossref Full Text | Google Scholar

43. Dubbioso, R, Spisto, M, Verde, L, Iuzzolino, VV, Senerchia, G, De Pietro, G, et al. Precision medicine in ALS: identification of new acoustic markers for dysarthria severity assessment. Biomed Signal Process Control. (2024) 89:105706. doi: 10.1016/j.bspc.2023.105706

Crossref Full Text | Google Scholar

44. Brady, MC, Clark, AM, Dickson, S, Paton, G, and Barbour, RS. Dysarthria following stroke: the patient's perspective on management and rehabilitation. Clin Rehabil. (2011) 25:935–52. doi: 10.1177/0269215511405079

PubMed Abstract | Crossref Full Text | Google Scholar

45. Mitchell, C, Bowen, A, Tyson, S, and Conroy, P. A feasibility randomized controlled trial of ReaDySpeech for people with dysarthria after stroke. Clin Rehabil. (2018) 32:1037–46. doi: 10.1177/0269215517748453

PubMed Abstract | Crossref Full Text | Google Scholar

46. Xie, Q, Chen, X, Xiao, J, Liu, S, Yang, L, Chen, J, et al. Acupuncture combined with speech rehabilitation training for post-stroke dysarthria: a systematic review and meta-analysis of randomized controlled trials. Integr Med Res. (2020) 9:100431. doi: 10.1016/j.imr.2020.100431

PubMed Abstract | Crossref Full Text | Google Scholar

47. Mitchell, C, Bowen, A, Tyson, S, and Conroy, P. ReaDySpeech for people with dysarthria after stroke: protocol for a feasibility randomised controlled trial. Pilot Feasibility Stud. (2018) 4:25. doi: 10.1186/s40814-017-0169-0

PubMed Abstract | Crossref Full Text | Google Scholar

48. Chiaramonte, R, and Vecchio, M. Dysarthria and stroke. The effectiveness of speech rehabilitation. A systematic review and meta-analysis of the studies. Eur J Phys Rehabil Med. (2021) 57:24–43. doi: 10.23736/s1973-9087.20.06242-5

PubMed Abstract | Crossref Full Text | Google Scholar

49. Kim, Y, Kim, M, Kim, J, and Song, TJ. Efficacy and feasibility of a digital speech therapy for post-stroke dysarthria: protocol for a randomized controlled trial. Front Neurol. (2024) 15:1305297. doi: 10.3389/fneur.2024.1305297

PubMed Abstract | Crossref Full Text | Google Scholar

50. Smith, M, Brady, M, Clark, AM, and Barbour, R. Dysarthria following stroke: the patient's perspective on management and rehabilitation. Clin Rehabil. (2012) 26:382–3. doi: 10.1177/0269215511433099

PubMed Abstract | Crossref Full Text | Google Scholar

51. Yang, X, Shi, L, Ran, D, Kong, Y, Shi, W, Zhou, J, et al. Comparison of tongue acupuncture and traditional acupuncture in the treatment of Poststroke dysarthria: a Meta-analysis and tongue acupuncture system classification evaluation. Evid Based Complement Alternat Med. (2022) 2022:1–12. doi: 10.1155/2022/4897863

PubMed Abstract | Crossref Full Text | Google Scholar

52. Su, XT, Wang, L, Ma, SM, Cao, Y, Yang, NN, Lin, LL, et al. Mechanisms of acupuncture in the regulation of oxidative stress in treating ischemic stroke. Oxidative Med Cell Longev. (2020) 2020:1–15. doi: 10.1155/2020/7875396

PubMed Abstract | Crossref Full Text | Google Scholar

53. Chang, QY, Lin, YW, and Hsieh, CL. Acupuncture and neuroregeneration in ischemic stroke. Neural Regen Res. (2018) 13:573–83. doi: 10.4103/1673-5374.230272

PubMed Abstract | Crossref Full Text | Google Scholar

54. Wang, J, Pei, J, Khiati, D, Fu, Q, Cui, X, Song, Y, et al. Acupuncture treatment on the motor area of the scalp for motor dysfunction in patients with ischemic stroke: study protocol for a randomized controlled trial. Trials. (2017) 18:287. doi: 10.1186/s13063-017-2000-x

PubMed Abstract | Crossref Full Text | Google Scholar

55. Wang, J, Li, G, Ding, S, Yu, L, Wang, Y, Qiao, L, et al. Liuzijue qigong versus traditional breathing training for patients with post-stroke dysarthria complicated by abnormal respiratory control: results of a single-center randomized controlled trial. Clin Rehabil. (2021) 35:999–1010. doi: 10.1177/0269215521992473

PubMed Abstract | Crossref Full Text | Google Scholar

56. Jiang, Y, and Zou, J. Analysis of the theoretical mechanism of traditional Chinese medicine in traditional chinese health preserving exercises (English). J Sport Health Sci. (2013) 2:204–60. doi: 10.1016/j.jshs.2013.03.008

Crossref Full Text | Google Scholar

57. Di Pino, G, Pellegrino, G, Assenza, G, Capone, F, Ferreri, F, Formica, D, et al. Modulation of brain plasticity in stroke: a novel model for neurorehabilitation. Nat Rev Neurol. (2014) 10:597–608. doi: 10.1038/nrneurol.2014.162

PubMed Abstract | Crossref Full Text | Google Scholar

58. León Ruiz, M, Rodríguez Sarasa, ML, Sanjuán Rodríguez, L, Benito-León, J, García-Albea Ristol, E, and Arce, AS. Current evidence on transcranial magnetic stimulation and its potential usefulness in post-stroke neurorehabilitation: opening new doors to the treatment of cerebrovascular disease. Neurologia (Engl Ed). (2018) 33:459–72. doi: 10.1016/j.nrl.2016.03.008

Crossref Full Text | Google Scholar

59. Chou, YH, Ton That, V, and Sundman, M. A systematic review and meta-analysis of rTMS effects on cognitive enhancement in mild cognitive impairment and Alzheimer's disease. Neurobiol Aging. (2020) 86:1–10. doi: 10.1016/j.neurobiolaging.2019.08.020

PubMed Abstract | Crossref Full Text | Google Scholar

60. Begemann, MJ, Brand, BA, Ćurčić-Blake, B, Aleman, A, and Sommer, IE. Efficacy of non-invasive brain stimulation on cognitive functioning in brain disorders: a meta-analysis. Psychol Med. (2020) 50:2465–86. doi: 10.1017/s0033291720003670

PubMed Abstract | Crossref Full Text | Google Scholar

61. Lloyd, DM, Wittkopf, PG, Arendsen, LJ, and Jones, AKP. Is transcranial direct current stimulation (tDCS) effective for the treatment of pain in fibromyalgia? A systematic review and Meta-analysis. J Pain. (2020) 21:1085–100. doi: 10.1016/j.jpain.2020.01.003

PubMed Abstract | Crossref Full Text | Google Scholar

62. Wong, MN, Baig, FN, Chan, YK, Ng, ML, Zhu, FF, and Kwan, JSK. Transcranial direct current stimulation over the primary motor cortex improves speech production in post-stroke dysarthric speakers: a randomized pilot study. PLoS One. (2022) 17:e0275779. doi: 10.1371/journal.pone.0275779

PubMed Abstract | Crossref Full Text | Google Scholar

63. Bolognini, N, Pascual-Leone, A, and Fregni, F. Using non-invasive brain stimulation to augment motor training-induced plasticity. J Neuroeng Rehabil. (2009) 6:8. doi: 10.1186/1743-0003-6-8

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: stroke, dysarthria, upper motor neurons, the pyramidal tracts, diagnosis, therapy

Citation: Lin L-X, Yao S-Y, Chen Q, Du M-Q, Kang X-H, Jiang D-Y and Peng Y (2025) Stroke-associated dysarthria. Front. Neurol. 16:1629640. doi: 10.3389/fneur.2025.1629640

Received: 16 May 2025; Accepted: 25 July 2025;
Published: 13 August 2025.

Edited by:

Raffaele Dubbioso, Federico II University Hospital, Italy

Reviewed by:

Gianmaria Senerchia, University of Naples Federico II, Italy
Sri Sunaringsih Ika Wardojo, University of Muhammadiyah Malang, Indonesia

Copyright © 2025 Lin, Yao, Chen, Du, Kang, Jiang and Peng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yong Peng, MTc3OTM0MjQ0NkBxcS5jb20=; MzcwMDE0QGhudWNtLmVkdS5jbg==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.