Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2024 Jul 31.
Published in final edited form as: Handb Clin Neurol. 2022;185:261–272. doi: 10.1016/B978-0-12-823384-9.00013-X

Better language through chemistry: Augmenting speech-language therapy with pharmacotherapy in the treatment of aphasia

Melissa D Stockbridge 1
PMCID: PMC11289691  NIHMSID: NIHMS2008443  PMID: 35078604

Abstract

Speech and language therapy is the standard treatment of aphasia. However, many individuals have barriers to seeking this measure of extensive rehabilitation treatment. Investigating ways to augment therapy is key to improving post-stroke language outcomes for all patients with aphasia, and pharmacotherapies provide one such potential solution. Although no medications are currently approved for the treatment of aphasia by the United States Food and Drug Administration, numerous candidate mechanisms for pharmaceutical manipulation continue to be identified based on our evolving understanding of the neurometabolic experience of stroke recovery across molecular, cellular, and functional levels of inquiry. This chapter will review evidence for catecholaminergic, glutamatergic, cholinergic, and serotonergic drug therapies and discuss future directions for both candidate drug selection and pharmacotherapy practice in people with aphasia.

Keywords: pharmacotherapy, adjunctive therapy, neural plasticity, memantine, SSRI, levodopa, donepezil, amantadine

Introduction

Speech and language therapy (SLT) is the standard treatment of aphasia (Kurland et al., 2012), and prior work suggests that about 100 hours of SLT are needed to significantly improve functional communication (Bhogal et al., 2003). However, many individuals have barriers to seeking this measure of extensive rehabilitation treatment. For example, they may no longer be able to drive and have difficulty coordinating the logistics of frequently visiting a doctor’s office, or they may have financial constraints to ongoing therapy. Thus, identifying ways to provide the most effective and efficient SLT and investigating ways to augment SLT through other means are key to improving post-stroke language outcomes for all patients with aphasia. Many authors have highlighted the value of synergistic approaches to post-stroke recovery that augment behavioral SLT, using behavioral therapies and other noninvasive ways of stimulating activity in brain areas of the task-specific network (e.g., repetitive transcranial magnetic stimulation (rTMS) or transcranial direct current stimulation (tCDS)) with pharmacologic interventions (Llano and Small, 2016; Bao et al., 2001; Korchounov and Ziemann, 2011). However, while noninvasive brain stimulation has provided a rich and clear path of clinical inquiry (Saxena and Hillis, 2017), identifying which drugs to utilize for cognitive-linguistic augmentation in this population is far less clear.

No medications are currently approved by the United States Food and Drug Administration (FDA) for the treatment of aphasia, and there are relatively few studies of drug therapy. Candidates for pharmaceutical intervention to restore function are based on our limited, yet evolving, understanding of the neurometabolic mechanisms of stroke recovery across molecular, cellular, and functional levels. While some regeneration does occur, synaptic plasticity is believed to be the dominant mechanism for recovery. This provides many targets for pharmaceutical intervention to improve outcomes. Treatment for aphasia has focused on modifying strength and excitability of existing synaptic pathways between the forebrain and areas necessary for language in the cerebral cortex. Existing synaptic connections can be modulated by long-term potentiation (LTP), long-term depression (LTD), and spike timing-dependent plasticity (STDP) via noradrenergic, cholinergic, dopaminergic, and serotonergic pathways. Glutamate (Malykh and Sadaie, 2010) and γ-aminobutyric acid (GABA) have been implicated in language processing as well (Berthier et al., 2011a). Activity-dependent mechanisms also include axonal sprouting (Dancause et al., 2005; Overman et al., 2012; Carmichael et al., 2017) and dendritic spine elaboration (Brown and Murphy, 2008; Ueno et al., 2012), and migration of subventricular stem cells to peri-infarct regions (Danilov et al., 2012; Wang, 2014; Merson and Bourne, 2014).

Perhaps it is because of our dynamic understanding of stroke and recovery that it is noteworthy to list pharmacotherapies that have been shown to be harmful to post-stroke cognition and language. Barbiturates (Linn and Stein, 1946; Linn, 1947; Bergman and Green, 1951; D’Asaro, 1955), carbamates (West and Stockel, 1965), dopamine antagonists (Feeney et al., 1982; Feeney and Hovda, 1983; Porch et al., 1985), norepinephrine-dopamine reuptake inhibitors (Darley et al., 1977), benzodiazepines (Darley et al., 1977), and alpha blockers (Llano and Small, 2015) all have demonstrated deleterious effects on post-stroke recovery.

Many pharmaceutical candidates for language augmentation after stroke have been vetted in animal models using motor recovery as the primary outcome variable (Llano and Small, 2016). The reliance on animal models results in limited generalizability with regard to aphasia (Hauser et al., 2002); no known intervention results in a mouse that can score within the healthy range on any common assessment of language. An encompassing view of cognitive and linguistic improvement necessitates the more lengthy, complex, messy, and expensive involvement of human subjects.

While early work focused on catecholamines (epinephrine, norepinephrine, dopamine) underlying synaptic plasticity, more recent advances have centered on therapies that target other neurotransmitters and modulators (glutamate, acetylcholine, serotonin) as promising candidates. That said, the leading edge of the broader landscape of post-stroke drug therapies encompasses a staggering array of investigative directions, including growth factors (Lee et al., 2005; Zhao et al., 2007) and C-C chemokine receptor 5 inhibitors (Joy et al., 2019). Unfortunately, the vetting of these therapies in humans is, at best, ongoing (Kumar and Kitago, 2019), and it is likely to be some years before they can be considered when addressing the relatively narrow problem of post-stroke language deficits. Comprehensive surveys of the landscape of drug trial histories in cognitive and linguistic recovery from stroke are far more abundant and contemporary than clinical trials (Saxena and Hillis, 2017; Small, 1994; Llano and Small, 2015; Llano and Small, 2016; Keser and Francisco, 2015; Engelter, 2013; Shisler et al., 2000; Small, 2004; Berthier, 2005; de Boissezon et al., 2007; Lee and Hillis-Trupe, 2008; Floel and Cohen, 2010; Berthier et al., 2011b; Cahana-Amitay et al., 2014; Ramezani et al., 2015; Liepert, 2016; Walker-Batson et al., 2016; Kumar and Kitago, 2019), recently emerging at the rate of about one per year. As such, this chapter will attempt to build upon this comprehensive discussion by providing a more speculative discussion of future directions for candidate drug selection, as well as a broader discussion of pharmacotherapy practice in people with aphasia.

Catecholamines

When considering catecholamines in the treatment of aphasia, it is important to stress that norepinephrine and dopamine have been shown to modulate the fundamental mechanisms of learning and memory (Asanuma and Pavlides, 1997; Korchounov and Ziemann, 2011; Ripollés et al., 2018): LTP (Dommett et al., 2008; Gu, 2002; Otani et al., 2003; Calabresi et al., 2007; Calabresi et al., 2006), LTD (Clem and Huganir, 2013; Cahill and Milton, 2019), and STDP (Edelmann and Lessmann, 2013; Sjostrom et al., 2008; Froemke et al., 2005). Catecholamine concentration decreases in the brainstem, subcortex, and cortex following ischemia (Brown et al., 1974; Cohen et al., 1975; Robinson et al., 1980). Dopamine appears to play a critical role in facilitating functional compensation by the non-infarcted hemisphere (Obi et al., 2018). Remedying this deficit to better support stroke recovery (Feeney and Westerberg, 1990) has been a vigorous investigative direction resulting in mixed and modest evidence of improvement in aphasia.

Stimulants, such as dextroamphetamine, cause the release of the presynaptic catecholamines, norepinephrine and dopamine (Feeney et al., 1982), as well as serotonin. However, their use for cognitive enhancement well predates this understanding. Amphetamine salts were used clinically since the 1920s and, in the 1940s, they became the first drugs approved for the treatment of mild depression (Rasmussen, 2006). While structurally similar to amphetamine, methylphenidate blocks reuptake of norepinephrine and dopamine in presynaptic neurons, resulting in milder stimulant effects (Rowe and Kurczewski, 2018). In healthy adults, prior studies have shown improved word learning with dexamphetamine (Whiting et al., 2007; Whiting et al., 2008; Breitenstein et al., 2006), as well as the potential for broader cognitive enhancement (Ilieva et al., 2015; Smith and Farah, 2011). Evidence of post-stroke motor recovery is mixed (Feeney et al., 1982; Keser and Francisco, 2015; Feeney and Hovda, 1983; Hovda and Fenney, 1984). There are small but significant effects of dextroamphetamine-assisted SLT on language performance on the Porch Index of Communicative Ability (PICA) (Walker-Batson et al., 2001) and confrontation naming (Whiting et al., 2007). Methylphenidate yielded no improvement on the PICA (Darley et al., 1977). Patients who received 10 mg dextroamphetamine for one week in conjunction with tDCS and speech therapy saw a benefit of stimulant over placebo on the bedside Western Aphasia Battery (WAB) (Shewan and Kertesz, 1980; Keser et al., 2017). Case studies have contributed to the body of evidence that stimulants may improve overall language performance (Walker-Baston et al., 1991; Spiegel and Alexander, 2011); however, modest results, lack of replication of positive results, and the need to mitigate hypertension in the post-stroke population have led to recommendations against this intervention (Martinsson et al., 2007).

Levodopa (an aromatic amino acid) is the metabolic precursor to dopamine, norepinephrine, and epinephrine. It is supplied in combination with carbidopa, an aromatic amino acid decarboxylation inhibitor, and it is approved for use in the treatment of Parkinson’s disease and syndrome. Recent studies using levodopa in conjunction with SLT have demonstrated that it facilitates word learning in healthy individuals (Knecht et al., 2004; Breitenstein et al., 2006; Shellshear et al., 2015). Levodopa combined with SLT, five days a week for three weeks, resulted in no significant improvements on the Boston Diagnostic Aphasia Examination (Seniów et al., 2009), but trended toward significance in those with frontal lesions. Unfortunately, randomized-double-blind controlled crossover studies, in both acute aphasia (Leemann et al., 2011) and chronic aphasia (Breitenstein et al., 2015), have not yielded evidence of any benefit over placebo.

Dopamine agonists (e.g., apomorphine, bromocriptine) also have been investigated in conjunction with SLT. Bromocriptine functions on mesocortical dopaminergic neurons projecting to the basal ganglia, supplementary motor area, and anterior cingulum (Ramezani et al., 2015), and it has an approved indication for use as an adjunctive treatment to levodopa in individuals with late stage Parkinson’s disease. Although studied in post-stroke aphasia, there is minimal evidence that bromocriptine paired with SLT is associated with language improvements (Gill and Leff, 2014), perhaps due to the fact that lesions associated with aphasia do not typically involve these regions. Studies vary widely in their recruitment and methodologies. In the acute phase, there is no evidence that people with non-fluent aphasia improve more with bromocriptine than placebo (Ashtary et al., 2006), particularly if their deficits are moderate to severe. In the chronic phase, a number anecdotal studies seem to show increased word finding, verbal fluency (Sabe et al., 1992; Gold et al., 2000), reading comprehension, and repetition (Bragoni et al., 2000), while randomized, double-blind, placebo-controlled crossover studies observed no such effects, with (Sabe et al., 1995) or without (Gupta et al., 1995) SLT.

Amantadine, a dopamine agonist indicated to treat parkinsonism and Influenza A, also has attracted interest. It is associated with improved verbal fluency in a patient with post-hypoxic encephalopathy and transcortical sensory aphasia (Arciniegas et al., 2004). Four other patients with transcortical motor aphasia showed improvements with amantadine (Barrett and Eslinger, 2007). However, amantadine has not been the subject of further study, possibly because of its numerous central nervous system side effects, drug interactions, low acute lethal dose, and dosage and administration concerns for patients with renal impairment, liver disease, congestive heart failure, and other conditions more frequently found in geriatric patients.

Null findings in catecholamine studies may be due to ceiling effects associated with sufficiently intensive SLT co-occurring with drug treatment, which suggests further large-scale clinical trials are needed to examine the interaction of catecholamines and SLT dosage on language improvements (Saxena and Hillis, 2017). However, overall enthusiasm for treatment of aphasia via this pathway is tempered by the combination of mechanistic evidence against the likelihood of efficacy for aphasia and frequent null-results in the relatively limited randomized double-blind controlled trials. Enthusiasm also is limited by dose-limiting adverse reactions, including frequent nausea, dystonic movement, and lack of energy (Sabe et al., 1995; Bragoni et al., 2000), which have resulted in discontinuation of therapy. From a practical standpoint, the benefit versus risk often is not favorable to the patient.

Glutamate and GABA

Glutamate and its derivative, GABA, have a tightly regulated homeostasis in the brain, with excitatory glutamate and inhibitory GABA receptor pathways. Regulation of the ionotropic glutamate receptors, α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA), kainate, and N-methyl-D-aspartate (NMDA), play a role in learning and memory. For example, spike-timing dependent plasticity involves changes in synaptic activity at glutamate receptors (Foncelle et al., 2018; Sjostrom et al., 2008; Feldman, 2012). Following stroke, the peri-infarct region experiences increased extracellular GABA, resulting in hypoexcitability (Brickley and Mody, 2012). Thus, another pharmacologic strategy for aphasia therapy would be to block GABA or to increase glutamatergic signaling.

Piracetam, a GABA derivative thought to modulate AMPA and NMDA receptors, has been a subject of investigation in aphasia along with other racetams (Malykh and Sadaie, 2010). In the largest multicenter, randomized, double-blind study on piracetam in stroke to date (Piracetam in Acute Stroke Study; PASS), 927 patients were treated with 12 g of intravenous piracetam over 20 minutes or placebo within the first 12 hours after stroke followed by 12 g daily for 4 weeks then 4.8 g daily for 8 weeks. Results on the Orgogozo scale, a measure of function (Orgogozo et al., 1983), at four weeks did not differ between groups (De Deyn et al., 1997). However, within a small subgroup of patients who received piracetam within seven hours following moderate or severe stroke (n = 360), piracetam administration did result in significant benefit. Of note, while the Orgogozo scale captures verbal communication among an array of other activities, rating from 0 for “impossible” to 10 for “normal,” the authors did not parse the overall scale scores by activity. When patients from the PASS who had aphasia (n=373) were examined after the fact, 10% more of those who received piracetam had “recovered” from aphasia by 12 weeks versus placebo. Among those who received the dose within the first 7 hours, there was a 16% difference between groups (Orgogozo, 1999).

A contemporary meta-analysis found no statistically significant effect of piracetam on aphasia impairment (Zhang et al., 2016), echoing numerous findings of null effects (Huber et al., 1997; Güngör et al., 2011). It is possible that differences in outcome measures and duration of subscription could account for findings in favor of piracetam use in aphasia (Tanaka et al., 2001; Huber, 1999; Enderby et al., 1994), particularly when combined with intensive SLT (Huber et al., 1982) to facilitate changes in perfusion (Kessler et al., 2000). Racetam studies in aphasia are ongoing (e.g., NCT00227461).

Brain-derived neurotrophic factor (BDNF) increases NMDA receptor activity, playing a major role in regulating synaptic transmission and plasticity in adults (Gottmann et al., 2009; Bramham and Messaoudi, 2005; Foncelle et al., 2018; Edelmann et al., 2014; Park and Poo, 2013). Memantine is a non-competitive NMDA receptor antagonist that increases the production of BDNF (Sonkusare et al., 2005), thus improving glutamatergic transmission, which is thought to make remaining neural networks more efficient in moderate-to-severe Alzheimer’s dementia (Parsons et al., 2007). In patients with chronic post-stroke aphasia, 16 weeks of memantine (20 mg/day) without SLT improved WAB performance. When patients received an additional two weeks of constraint-induced aphasia therapy, improvements over placebo were even greater. Even after memantine was discontinued, patients who had received memantine retained a significant improvement in WAB scores over the placebo group, although the difference in scores had diminished, suggesting that gains were not stable long term (Berthier et al., 2009). While actual differences in scores were small, adding to the enthusiasm surrounding memantine is its profile of relative safety and tolerability, even when combined with other medications (Berthier and Pulvermüller, 2011).

Acetylcholine

Acetylcholine promotes neural plasticity (Foncelle et al., 2018) through the induction of LTP and LTD (Sarter and Parikh, 2005), which has led to its focus as a mechanism for post-stroke recovery in the last 20 years. It also appears to have particular implications for language. Cholinergic activity is greater in the left brain than right brain (Amaducci et al., 1981; Glick et al., 1982), and there is a relatively high density of acetylcholinesterase-containing axons within primary auditory regions and posterior cortical regions associated with language (Hutsler and Gazzaniga, 1996). It is not surprising then that scopolamine, a commonly used perioperative anticholinergic therapy, impairs non-word reading, word and non-word spelling, and verbal fluency in healthy adults (Aarsland et al., 1994), deficits not related to arousal.

Development of cholinergic pharmaceuticals has centered on their use in Alzheimer’s dementia, a neurodegenerative disease with cognitive impairment that is associated with a loss of cholinergic neurons (Whitehouse et al., 1981). Reversible cholinesterase inhibitors (e.g., donepezil, galantamine, rivastigmine), which block the breakdown of acetylcholine by cholinesterase enzymes, were the first (Plaitakis and Duvoisin, 1983; Heinrich and Teoh, 2004), and now the most common, means of enhancing synaptic acetylcholine to improve memory (Birks and Harvey, 2018). As with post-stroke aphasia, there are currently no drugs approved by the FDA for primary-progressive aphasia, the syndrome of progressive neurodegenerative impairment with central language features. Primary-progressive aphasia has been a proposed target for cholinergic therapies due to its relationship with Alzheimer’s disease (Schaeverbeke et al., 2017; Ferris and Farlow, 2013), but findings so far do not support their use. An open-label randomized, placebo-controlled study saw a trend toward stabilization of WAB aphasia quotient (WAB-AQ) in patients with primary-progressive aphasia (N=20) who received galantamine for 26 weeks (Kertesz et al., 2008); however cholinesterase inhibitors most often have been associated with worsening of symptoms (Mendez et al., 2007) and more frequent cognitive adverse reactions (Boxer et al., 2013).

Cholinergic pharmacotherapies for post-stroke aphasia therapy have shown positive results, with improvements noted in overall language production, repetition, naming, and auditory comprehension (Zhang et al., 2018). However, to our knowledge, no papers have contextualized results with clinical significance, nor have improvements consistently been greater than expected variability among administrations of a utilized testing instrument (i.e., test-retest reliability). Much of what is known about cholinergic potentiation in aphasia is to the credit of a single dedicated group investigating donepezil, Marcelo Berthier and colleagues who have been supported by Pfizer Spain and Eisai (makers of Aricept) in their work for over a decade. In their double-blind randomized, placebo-controlled study of 26 patients with chronic post-stroke aphasia, taking 10 mg/day of donepezil for 16 weeks with SLT, there was significant improvement in WAB-AQ, picture naming, and spousal ratings of communication activities of daily living (Berthier et al., 2006), confirming findings from an earlier sampling of 11 patients who participated in a 20-week open-label study (Berthier et al., 2003). It was noted that improvements were no longer present when reassessed at 20 weeks.

Other groups have reported similar findings when patients were treated with donepezil over a 12-week span. Small but significant improvements on the WAB-AQ were seen in patients with acute aphasia (Ying et al., 2010) and in a mixed sample (Haixia and Shilin, 2014), for whom improvements endured beyond the discontinuation of the drug. Small but significant improvement on the WAB-AQ also was noted among those with chronic post-stroke aphasia receiving galantamine (Hong et al., 2012). The authors identified subcortical dominant lesion pattern, cognitive performance at baseline, and higher levels of education as significant determinants of good responsiveness to galantamine (defined as a WAB-AQ increase of 20 points or more).

The following open-label studies and case reports also have contributed to our current knowledge base for cholinergic therapy in post-stroke aphasia, particularly when addressing aphasia subtypes and atypical etiologies:

  • Two patients with sub-acute Wernicke’s aphasia, receiving bifemelane (300 mg/day) with SLT, showed significant increases in category fluency and picture naming, language scores that correlated significantly with acetylcholinesterase measured in cerebrospinal fluid (Tanaka and Miyazaki, 1997). Bifemelane is a monoamine oxidase inhibitor (MAOI) that increases cortical and hippocampal acetylcholine (Saito et al., 1985).

  • A patient with severe chronic post-stroke Wernicke’s aphasia improved in both WAB-AQ and general cognition 3 months after a 6-week course of donepezil (Yoon et al., 2015).

  • Three patients with chronic post-stroke conduction aphasia, receiving donepezil (5 mg/day for 4 weeks then 10 mg/day for 12 weeks) combined with SLT (massed sentence repetition therapy), showed improved language production on the WAB-AQ over SLT alone (Berthier et al., 2014).

  • A patient with severe Broca’s aphasia and moderately severe apraxia 18 months post-stroke, receiving donepezil (5 mg/day for 6 weeks), improved slightly in word repetition, attention, and motor speech directly following treatment and at 25.5 months post-stroke (Pashek and Bachman, 2003).

  • Four post-stroke patients with apraxia, receiving donepezil (5 mg/day) with 10 mg dextroamphetamine administered 30 minutes prior to each 1.5 hour SLT session (36 hours/week for 6 weeks), had improved scores on the PICA. Due to the open label, pilot study design, differentiating the effects of SLT, either drug therapy, or the combination was not possible; however, the authors noted that gains were maintained after the treatment period (Walker-Batson et al., 2016).

  • Following a right striatal-capsular hemorrhage, a patient with noted atypical brain-language organization, who experienced chronic language deficits and post-stroke depression that was treated escitalopram (a selective serotonin reuptake inhibitor, SSRI), first received donepezil then donepezil combined with SLT (Berthier et al., 2017). The patient’s other ongoing pharmacological treatments, including baclofen and levetiracetam, were kept unchanged during the trial. When receiving donepezil without SLT (5 mg/day for 4 weeks, then 10 mg/day for 12 weeks), the patient improved significantly over baseline on WAB-AQ, connected speech, and word repetition. Although performance slightly improved when SLT was included, the differences in these measures between the donepezil trial and the combined donepezil and SLT trials were not significant.

  • One prior study also examined the combination of donepezil with an SSRI (fluoxetine) in 48 patients with aphasia receiving SLT, finding that the combined treatment improved WAB-AQ over donepezil alone (Dong et al., 2016).

These findings highlight the need for large-scale randomized controlled clinical studies, such as the upcoming investigation of donepezil combined with transcranial direct current stimulation (NCT04134416), meta-analyses, and comprehensive analyses of clinically meaningful differences. Multiple studies also failed to differentiate between a potential direct benefit from cholinergic stimulation on cognition and language and the secondary benefits associated with ameliorating post-stroke depression. Dampening enthusiasm with this pharmacotherapy is evidence that increasing synaptic acetylcholine may negatively impact language. In one recent double-blind placebo-controlled cross-over study, donepezil was associated with a harm to speech comprehension among patients with chronic post-stroke Wernicke’s aphasia (Woodhead et al., 2017). Moreover, nearly all reported studies suffered considerable attrition due to poor drug tolerance, echoing the observation that cholinesterase inhibitors frequently cause nausea, vomiting, anorexia, diarrhea, and dizziness as a result of cholinergic overstimulation (Ali et al., 2015).

Serotonin

Serotonin also has been shown to play a role in enhancement of synaptic plasticity, neurogenesis, synaptogenesis, and dendritic remodeling (Kuo et al., 2016; Sodhi and Sanders-Bush, 2004; Jitsuki et al., 2011; Vetencourt et al., 2011; Brezun and Daszuta, 2000; Santarelli et al., 2003; Karpova et al., 2011; Wang et al., 2008). BDNF promotes the development and function of serotonergic neurons, and selective serotonin uptake inhibitors (SSRIs) increase BDNF gene expression (Martinowich and Lu, 2008). While amphetamines and other non-selective serotonin agonists activate receptors directly, SSRIs and MAOIs increase extracellular serotonin indirectly. Numerous SSRIs (e.g., fluoxetine, escitalopram, fluvoxamine) and MAOIs (e.g., isocarboxazid, selegiline, tranylcypromine) have been FDA-approved for use in treating major depression disorder and other related affective and mood disorders and are generally preferred to catecholaminergic therapies. Studies have shown a positive effect of SSRIs on post-stroke motor recovery when administered acutely (in the FLAME study, a large double-blind, placebo-controlled phase II trial, Chollet et al., 2011; Pariente et al., 2001; Marquez-Romero et al., 2020; Asadollahi et al., 2018) and in the chronic phase (Zittel et al., 2008). There also is evidence of improvement in cognitive recovery (Jorge et al., 2010), but not in coarse measures of overall disability (Dennis et al., 2019) or functional recovery (Kraglund et al., 2018). A recent Cochrane review found statistically significant benefits of SSRI in reducing dependency at the end of treatment, improving neurologic deficits and affect, but not overall measures of cognition (Mead et al., 2012). An updated meta-analysis of 1549 patients found that SSRI use was associated with better overall recovery and functional independence (Gu and Wang, 2018).

The effects of SSRIs on post-stroke aphasia recovery are promising. In a double-blind, randomized crossover trial, 10 patients with fluent post-stroke aphasia, receiving fluvoxamine for 4 weeks, improved in picture naming on the BNT and had reduced perseverations (Tanaka et al., 2004); but, no changes were observed on the WAB or a number of other language measures. In a cross-sectional study of 45 patients with left hemisphere ischemic stroke, when matched for similar age, time post-onset, and education, patients who were given antidepressants from onset of stroke through recovery had significantly higher repetition scores than those who had not, even though they had larger infarcts on average (Hillis and Tippett, 2014). Groups did not differ in total WAB score. WAB Quartile in the chronic phase was predictable by a model that included education, volume of infarct, antidepressant use, and age, all of which were significant predictors. A second multicenter cross-sectional study of chronic aphasia found that individuals who continuously used SSRIs for the first three months following stroke had greater frequency of improved picture naming and inclusion of more elaborate content when describing a picture than those with similar initial aphasia severity, similar levels of depressive symptoms, and similar lesion volume and percentage of damage to important regions for language function (Hillis et al., 2018).

In contrast, a randomized, double-blind, placebo-controlled trial, administration of an MAOI (moclobemide), beginning around 18 days post-stroke and continuing for 6 months (without SLT), did not improve performance on the Amsterdam Nijmegen Everyday Language Test of verbal communication or Reinvang’s Grunntest for Afasi (a test similar to the WAB) over placebo (Laska et al., 2005). This null result may be due to the absence of controlled or high-intensity SLT during the drug trial period, as recent reviews have suggested the effects of SSRIs on post-stroke plasticity are experience-dependent (Schneider et al., 2019).

While their benefits to cognitive recovery appear to be independent of SSRIs’ mitigation of post-stroke depression (Jorge et al., 2010), this finding does not downplay the deleterious effect of depression itself on the post-stroke experience. One in five patients with stroke will develop depression (Barker-Collo, 2007), which can directly impact cognitive-linguistic performance (Narushima et al., 2003; Okon-Singer et al., 2017; Smirnova et al., 2018; Rude et al., 2004; Kimura et al., 2000) and engagement with SLT (Skidmore et al., 2010). It is possible that SSRIs could benefit patients’ overall communication and social participation directly and indirectly through changes to language, cognition, and mood. Multiple studies of SSRIs on stroke outcomes are ongoing (NCT02737930, NCT04221256, NCT02767999, Graham et al., 2017), and trials specifically targeting SSRI use in aphasia therapy are planned (NCT03843463).

Final Thoughts

Over the last 70 years and beyond, our ability to treat aphasia has improved through our evolving understanding of healthy neurophysiology and the metabolic experience of stroke. While undeniable progress has been made in the behavioral treatment of aphasia through SLT, clinical trials have been slow to provide evidence of safe and effective gains in cognition and language through drug treatment that would support clear recommendations for people with post-stroke aphasia. Despite the limited evidence to date, there are emerging candidates for adjunctive pharmacotherapy that provide exciting prospects for further large-scale, double-blind trials and may be appropriate for clinicians to consider in the interim practice of medicine. For example:

  • In chronic post-stroke aphasia, memantine combined with SLT over time appear to improve language recovery. Memantine is relatively safe and well-tolerated, even when combined with other medications.

  • Early evidence suggests SSRIs appear to have variable but broad benefits to linguistic, cognitive, and functional recovery in the acute and chronic phase following stroke, in addition to their effect on mood. Clinical trials, currently in recruitment, will further our understanding of this generally well-tolerated drug class beyond treatment of post-stroke depression.

  • Levodopa and donepezil should be the subjects of further, more rigorous study. While the majority of dopamine agonists have not proven themselves in the existing trials, limited data on amantadine has shown promise and should be investigated further.

These selections highlight another changing aspect of pharmacotherapy in stroke rehabilitation. Early clinical trials primarily focused on brief, finite subscription windows (Shewan and Kertesz, 1980; Orgogozo, 1999). However, increasingly, studies have included longer windows of subscription (Seniów et al., 2009; Huber et al., 1997), approaching maintenance terms (Güngör et al., 2011; Berthier et al., 2009; Hong et al., 2012; Hillis et al., 2018; Kertesz et al., 2008). Longer treatments are rational, as numerous neurodegenerative and chronic conditions are generally treated in this therapeutic model. The decline in stroke mortality (Lackland et al., 2014) has increasingly demanded that stroke be conceptualized as a chronic and progressive disabling disease (Carmichael, 2016), treated primarily through maintenance medication (Gallacher et al., 2014). Some authors have minimized pharmacotherapies that nominally confer benefits that fail to endure after therapy is discontinued and eliminated (Llano and Small, 2016; Small and Llano, 2009). While this is a noble ideal, if we change our model, and thus our definition of success, from endurance of functional language improvements gained during adjunctive pharmacologic therapy during SLT to maintenance of SLT-driven cognitive-linguistic gains through the ongoing use of pharmacology, previously dismissed therapies gain a new potential for improving the lives of people with aphasia.

These conditions further require practitioners to critically consider the issue of appropriate polypharmacy in the aging population. While recent work has considered the synergistic use of multiple drugs in post-stroke recovery (Walker-Batson et al., 2016; Dong et al., 2016), polypharmacy contributes to an increased risk of medication error and poor compliance (Stawicki and Gerlach, 2009), and it should be avoided where unnecessary (Llano and Small, 2015). Artfully combined use of pharmacotherapy, SLT, and stimulation as a means to shift synaptic thresholds (i.e., rTMS, tDCS) likely will shape the future of cognitive-linguistic rehabilitation.

Acknowledgement

The author’s work was supported by NIDCD R01 05375.

Footnotes

Full-text versions of these articles were not available in English as of May 2020. Descriptions of these findings are based on English-language abstracts available via aggregated databases. Although findings are included where relevant, methodologies and results could not be critically reviewed.

References

  1. Aarsland D, Larsen J, Reinvang I, et al. (1994). Effects of cholinergic blockade on language in healthy young women: Implications for the cholinergic hypothesis in dementia of the Alzheimer type. Brain 117: 1377–1384. [DOI] [PubMed] [Google Scholar]
  2. Ali TB, Schleret TR, Reilly BM, et al. (2015). Adverse effects of cholinesterase inhibitors in dementia, according to the pharmacovigilance databases of the United-States and Canada. PLoS One 10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Amaducci L, Sorbi S, Albanese A, et al. (1981). Choline acetyltxansferase (CUT) activity Wers in right and left human temporal lobes. Neurology 31: 799–799. [DOI] [PubMed] [Google Scholar]
  4. Arciniegas DB, Frey KL, Alan Anderson C, et al. (2004). Amantadine for neurobehavioural deficits following delayed post-hypoxic encephalopathy. Brain Injury 18: 1309–1318. [DOI] [PubMed] [Google Scholar]
  5. Asadollahi M, Ramezani M, Khanmoradi Z, et al. (2018). The efficacy comparison of citalopram, fluoxetine, and placebo on motor recovery after ischemic stroke: a double-blind placebo-controlled randomized controlled trial. Clinical rehabilitation 32: 1069–1075. [DOI] [PubMed] [Google Scholar]
  6. Asanuma H & Pavlides C (1997). Neurobiological basis of motor learning in mammals. Neuroreport: An International Journal for the Rapid Communication of Research in Neuroscience. [PubMed] [Google Scholar]
  7. Ashtary F, Janghorbani M, Chitsaz A, et al. (2006). A randomized, double-blind trial of bromocriptine efficacy in nonfluent aphasia after stroke. Neurology 66: 914–916. [DOI] [PubMed] [Google Scholar]
  8. Bao S, Chan VT & Merzenich MM (2001). Cortical remodelling induced by activity of ventral tegmental dopamine neurons. Nature 412: 79–83. [DOI] [PubMed] [Google Scholar]
  9. Barker-Collo SL (2007). Depression and anxiety 3 months post stroke: prevalence and correlates. Archives of Clinical Neuropsychology 22: 519–531. [DOI] [PubMed] [Google Scholar]
  10. Barrett AM & Eslinger PJ (2007). Amantadine for adynamic speech: possible benefit for aphasia? American journal of physical medicine & rehabilitation/Association of Academic Physiatrists 86: 605. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Bergman PS & Green M (1951). Aphasia: effect of intravenous sodium amytal. Neurology 1: 471–471. [DOI] [PubMed] [Google Scholar]
  12. Berthier ML (2005). Poststroke aphasia. Drugs & aging 22: 163–182. [DOI] [PubMed] [Google Scholar]
  13. Berthier ML, Davila G, Green-Heredia C, et al. (2014). Massed sentence repetition training can augment and speed up recovery of speech production deficits in patients with chronic conduction aphasia receiving donepezil treatment. Aphasiology 28: 188–218. [Google Scholar]
  14. Berthier ML, De-Torres I, Paredes-Pacheco J, et al. (2017). Cholinergic potentiation and audiovisual repetition-imitation therapy improve speech production and communication deficits in a person with crossed aphasia by inducing structural plasticity in white matter tracts. Frontiers in human neuroscience 11: 304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Berthier ML, Garcia-Casares N, Walsh SF, et al. (2011a). Recovery from post-stroke aphasia: lessons from brain imaging and implications for rehabilitation and biological treatments. Discovery medicine 12: 275–289. [PubMed] [Google Scholar]
  16. Berthier ML, Green C, Higueras C, et al. (2006). A randomized, placebo-controlled study of donepezil in poststroke aphasia. Neurology 67: 1687–1689. [DOI] [PubMed] [Google Scholar]
  17. Berthier ML, Green C, Lara JP, et al. (2009). Memantine and constraint-induced aphasia therapy in chronic poststroke aphasia. Annals of Neurology: Official Journal of the American Neurological Association and the Child Neurology Society 65: 577–585. [DOI] [PubMed] [Google Scholar]
  18. Berthier ML, Hinojosa J, del Carmen Martín M, et al. (2003). Open-label study of donepezil in chronic poststroke aphasia. Neurology 60: 1218–1219. [DOI] [PubMed] [Google Scholar]
  19. Berthier ML & Pulvermüller F (2011). Neuroscience insights improve neurorehabilitation of poststroke aphasia. Nature Reviews Neurology 7: 86. [DOI] [PubMed] [Google Scholar]
  20. Berthier ML, Pulvermüller F, Dávila G, et al. (2011b). Drug therapy of post-stroke aphasia: a review of current evidence. Neuropsychology review 21: 302. [DOI] [PubMed] [Google Scholar]
  21. Bhogal SK, Teasell R & Speechley M (2003). Intensity of aphasia therapy, impact on recovery. Database of Abstracts of Reviews of Effects (DARE): Quality-assessed Reviews [Internet]. Centre for Reviews and Dissemination (UK). [DOI] [PubMed] [Google Scholar]
  22. Birks JS & Harvey RJ (2018). Donepezil for dementia due to Alzheimer’s disease. Cochrane Database of systematic reviews. [DOI] [PubMed] [Google Scholar]
  23. Boxer AL, Knopman DS, Kaufer DI, et al. (2013). Memantine in patients with frontotemporal lobar degeneration: a multicentre, randomised, double-blind, placebo-controlled trial. The Lancet Neurology 12: 149–156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Bragoni M, Altieri M, Di Piero V, et al. (2000). Bromocriptine and speech therapy in non-fluent chronic aphasia after stroke. Neurological Sciences 21: 19–22. [DOI] [PubMed] [Google Scholar]
  25. Bramham CR & Messaoudi E (2005). BDNF function in adult synaptic plasticity: the synaptic consolidation hypothesis. Progress in neurobiology 76: 99–125. [DOI] [PubMed] [Google Scholar]
  26. Breitenstein C, Flöel A, Korsukewitz C, et al. (2006). A shift of paradigm: From noradrenergic to dopaminergic modulation of learning? Journal of the neurological sciences 248: 42–47. [DOI] [PubMed] [Google Scholar]
  27. Breitenstein C, Korsukewitz C, Baumgaertner A, et al. (2015). L-dopa does not add to the success of high-intensity language training in aphasia. Restorative neurology and neuroscience 33: 115–120. [DOI] [PubMed] [Google Scholar]
  28. Brezun JM & Daszuta A (2000). Serotonin may stimulate granule cell proliferation in the adult hippocampus, as observed in rats grafted with foetal raphe neurons. European Journal of Neuroscience 12: 391–396. [DOI] [PubMed] [Google Scholar]
  29. Brickley SG & Mody I (2012). Extrasynaptic GABAA receptors: their function in the CNS and implications for disease. Neuron 73: 23–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Brown CE & Murphy TH (2008). Livin’ on the edge: imaging dendritic spine turnover in the peri-infarct zone during ischemic stroke and recovery. The Neuroscientist 14: 139–146. [DOI] [PubMed] [Google Scholar]
  31. Brown RM, Carlson A, Ljunggren B, et al. (1974). Effect of ischemia on monoamine metabolism in the brain. Acta physiologica scandinavica 90: 789–791. [DOI] [PubMed] [Google Scholar]
  32. Cahana-Amitay D, Albert ML & Oveis A (2014). Psycholinguistics of aphasia pharmacotherapy: Asking the right questions. Aphasiology 28: 133–154. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Cahill EN & Milton AL (2019). Neurochemical and molecular mechanisms underlying the retrieval-extinction effect. Psychopharmacology 236: 111–132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Calabresi P, Picconi B, Parnetti L, et al. (2006). A convergent model for cognitive dysfunctions in Parkinson’s disease: the critical dopamine–acetylcholine synaptic balance. The Lancet Neurology 5: 974–983. [DOI] [PubMed] [Google Scholar]
  35. Calabresi P, Picconi B, Tozzi A, et al. (2007). Dopamine-mediated regulation of corticostriatal synaptic plasticity. Trends in neurosciences 30: 211–219. [DOI] [PubMed] [Google Scholar]
  36. Carmichael ST (2016). Emergent properties of neural repair: elemental biology to therapeutic concepts. Annals of neurology 79: 895–906. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Carmichael ST, Kathirvelu B, Schweppe CA, et al. (2017). Molecular, cellular and functional events in axonal sprouting after stroke. Experimental neurology 287: 384–394. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Chollet F, Tardy J, Albucher J-F, et al. (2011). Fluoxetine for motor recovery after acute ischaemic stroke (FLAME): a randomised placebo-controlled trial. The Lancet Neurology 10: 123–130. [DOI] [PubMed] [Google Scholar]
  39. Clem RL & Huganir RL (2013). Norepinephrine enhances a discrete form of long-term depression during fear memory storage. Journal of Neuroscience 33: 11825–11832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Cohen HP, Waltz AG & Jacobson RL (1975). Catecholamine content of cerebral tissue after occlusion or manipulation of middle cerebral artery in cats. Journal of neurosurgery 43: 32–36. [DOI] [PubMed] [Google Scholar]
  41. D’Asaro MJ (1955). An experimental investigation of the effects of sodium amytal on communication of aphasic patients. University of Southern California. [Google Scholar]
  42. Dancause N, Barbay S, Frost SB, et al. (2005). Extensive cortical rewiring after brain injury. Journal of Neuroscience 25: 10167–10179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Danilov A, Kokaia Z & Lindvall O (2012). Ectopic ependymal cells in striatum accompany neurogenesis in a rat model of stroke. Neuroscience 214: 159–170. [DOI] [PubMed] [Google Scholar]
  44. Darley FL, Keith RL & Sasanuma S The effect of alerting and tranquilizing drugs upon the performance of aphasic patients. Clinical Aphasiology: Proceedings of the Conference 1977, 1977. BRK Publishers, 91–96. [Google Scholar]
  45. de Boissezon X, Peran P, de Boysson C, et al. (2007). Pharmacotherapy of aphasia: Myth or reality? Brain and language 102: 114–125. [DOI] [PubMed] [Google Scholar]
  46. De Deyn PP, De Reuck J, Deberdt W, et al. (1997). Treatment of acute ischemic stroke with piracetam. Stroke 28: 2347–2352. [DOI] [PubMed] [Google Scholar]
  47. Dennis M, Mead G, Forbes J, et al. (2019). Effects of fluoxetine on functional outcomes after acute stroke (FOCUS): a pragmatic, double-blind, randomised, controlled trial. The Lancet 393: 265–274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Dommett EJ, Henderson EL, Westwell MS, et al. (2008). Methylphenidate amplifies long-term plasticity in the hippocampus via noradrenergic mechanisms. Learning & Memory 15: 580–586. [DOI] [PubMed] [Google Scholar]
  49. Dong L, Zhendong W & Xiaorong T (2016). 氟西汀联合多奈哌齐治疗卒中后失语的疗效观察 [Effect of fluoxetine combined with donepezil on aphasia after stroke]. 赣南医学院学报 [Journal of Gannan Medical College] 36: 244–246. [Google Scholar]
  50. Edelmann E & Lessmann V (2013). Dopamine regulates intrinsic excitability thereby gating successful induction of spike timing-dependent plasticity in CA1 of the hippocampus. Frontiers in neuroscience 7: 25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Edelmann E, Lessmann V & Brigadski T (2014). Pre-and postsynaptic twists in BDNF secretion and action in synaptic plasticity. Neuropharmacology 76: 610–627. [DOI] [PubMed] [Google Scholar]
  52. Enderby P, Broeckx J, Hospers W, et al. (1994). Effect of piracetam on recovery and rehabilitation after stroke: a double-blind, placebo-controlled study. Clinical neuropharmacology 17: 320–331. [DOI] [PubMed] [Google Scholar]
  53. Engelter S (2013). Safety in pharmacological enhancement of stroke rehabilitation. Eur J Phys Rehabil Med 49: 261–267. [PubMed] [Google Scholar]
  54. Feeney DM, Gonzalez A & Law WA (1982). Amphetamine, haloperidol, and experience interact to affect rate of recovery after motor cortex injury. Science 217: 855–857. [DOI] [PubMed] [Google Scholar]
  55. Feeney DM & Hovda DA (1983). Amphetamine and apomorphine restore tactile placing after motor cortex injury in the cat. Psychopharmacology 79: 67–71. [DOI] [PubMed] [Google Scholar]
  56. Feeney DM & Westerberg VS (1990). Norepinephrine and brain damage: Alpha noradrenergic pharmacology alters functional recovery after cortical trauma. Canadian Journal of Psychology/Revue canadienne de psychologie 44: 233. [DOI] [PubMed] [Google Scholar]
  57. Feldman DE (2012). The spike-timing dependence of plasticity. Neuron 75: 556–571. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Ferris SH & Farlow M (2013). Language impairment in Alzheimer’s disease and benefits of acetylcholinesterase inhibitors. Clinical interventions in aging 8: 1007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Floel A & Cohen LG (2010). Recovery of function in humans: cortical stimulation and pharmacological treatments after stroke. Neurobiology of disease 37: 243–251. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Foncelle A, Mendes A, Jędrzejewska-Szmek J, et al. (2018). Modulation of spike-timing dependent plasticity: towards the inclusion of a third factor in computational models. Frontiers in computational neuroscience 12: 49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Froemke RC, Poo M-m & Dan Y (2005). Spike-timing-dependent synaptic plasticity depends on dendritic location. Nature 434: 221–225. [DOI] [PubMed] [Google Scholar]
  62. Gallacher KI, Batty GD, McLean G, et al. (2014). Stroke, multimorbidity and polypharmacy in a nationally representative sample of 1,424,378 patients in Scotland: implications for treatment burden. BMC medicine 12: 151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Gill SK & Leff AP (2014). Dopaminergic therapy in aphasia. Aphasiology 28: 155–170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Glick SD, Ross DA & Hough LB (1982). Lateral asymmetry of neurotransmitters in human brain. Brain research 234: 53–63. [DOI] [PubMed] [Google Scholar]
  65. Gold M, VanDam D & Silliman ER (2000). An open-label trial of bromocriptine in nonfluent aphasia: a qualitative analysis of word storage and retrieval. Brain and Language 74: 141–156. [DOI] [PubMed] [Google Scholar]
  66. Gottmann K, Mittmann T & Lessmann V (2009). BDNF signaling in the formation, maturation and plasticity of glutamatergic and GABAergic synapses. Experimental brain research 199: 203–234. [DOI] [PubMed] [Google Scholar]
  67. Graham C, Lewis S, Forbes J, et al. (2017). The FOCUS, AFFINITY and EFFECTS trials studying the effect (s) of fluoxetine in patients with a recent stroke: statistical and health economic analysis plan for the trials and for the individual patient data meta-analysis. Trials 18: 627. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Gu Q (2002). Neuromodulatory transmitter systems in the cortex and their role in cortical plasticity. Neuroscience 111: 815–835. [DOI] [PubMed] [Google Scholar]
  69. Gu S-C & Wang C-D (2018). Early selective serotonin reuptake inhibitors for recovery after stroke: a meta-analysis and trial sequential analysis. Journal of Stroke and Cerebrovascular Diseases 27: 1178–1189. [DOI] [PubMed] [Google Scholar]
  70. Güngör L, Terzi M & Onar MK (2011). Does long term use of piracetam improve speech disturbances due to ischemic cerebrovascular diseases? Brain and language 117: 23–27. [DOI] [PubMed] [Google Scholar]
  71. Gupta SR, Mlcoch AG, Scolaro C, et al. (1995). Bromocriptine treatment of nonfluent aphasia. Neurology 45: 2170–2173. [DOI] [PubMed] [Google Scholar]
  72. Haixia Y & Shilin L (2014). 多奈哌齐治疗早期卒中后失语患者的随机对照研究 [A randomized controlled study of donepezil in the treatment of patients with aphasia after early stroke]. 中华行为医学与脑科学杂志 [Chinese Journal of Behavioral Medical Science and the Brain] 23: 225–227. [Google Scholar]
  73. Hauser MD, Chomsky N & Fitch WT (2002). The faculty of language: what is it, who has it, and how did it evolve? science 298: 1569–1579. [DOI] [PubMed] [Google Scholar]
  74. Heinrich M & Teoh HL (2004). Galanthamine from snowdrop—the development of a modern drug against Alzheimer’s disease from local Caucasian knowledge. Journal of ethnopharmacology 92: 147–162. [DOI] [PubMed] [Google Scholar]
  75. Hillis AE, Beh YY, Sebastian R, et al. (2018). Predicting recovery in acute poststroke aphasia. Annals of neurology 83: 612–622. [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Hillis AE & Tippett DC (2014). Stroke recovery: Surprising influences and residual consequences. Advances in medicine 2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  77. Hong JM, Shin DH, Lim TS, et al. (2012). Galantamine administration in chronic post-stroke aphasia. Journal of Neurology, Neurosurgery & Psychiatry 83: 675–680. [DOI] [PubMed] [Google Scholar]
  78. Hovda DA & Fenney DM (1984). Amphetamine with experience promotes recovery of locomotor function after unilateral frontal cortex injury in the cat. Brain research 298: 358–361. [DOI] [PubMed] [Google Scholar]
  79. Huber W (1999). The role of piracetam in the treatment of acute and chronic aphasia. Pharmacopsychiatry 32: 38–43. [DOI] [PubMed] [Google Scholar]
  80. Huber W, Poeck K, Weniger D, et al. (1982). Der Aachener Aphasie Test., Göttingen, Germany, Hogrefe-Verlag. [Google Scholar]
  81. Huber W, Willmes K, Poeck K, et al. (1997). Piracetam as an adjuvant to language therapy for aphasia: a randomized double-blind placebo-controlled pilot study. Archives of physical medicine and rehabilitation 78: 245–250. [DOI] [PubMed] [Google Scholar]
  82. Hutsler JJ & Gazzaniga MS (1996). Acetylcholinesterase staining in human auditory and language cortices: regional variation of structural features. Cerebral Cortex 6: 260–270. [DOI] [PubMed] [Google Scholar]
  83. Ilieva IP, Hook CJ & Farah MJ (2015). Prescription stimulants’ effects on healthy inhibitory control, working memory, and episodic memory: a meta-analysis. Journal of cognitive neuroscience 27: 1069–1089. [DOI] [PubMed] [Google Scholar]
  84. Jitsuki S, Takemoto K, Kawasaki T, et al. (2011). Serotonin mediates cross-modal reorganization of cortical circuits. Neuron 69: 780–792. [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Jorge RE, Acion L, Moser D, et al. (2010). Escitalopram and enhancement of cognitive recovery following stroke. Archives of general psychiatry 67: 187–196. [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Joy MT, Assayag EB, Shabashov-Stone D, et al. (2019). CCR5 is a therapeutic target for recovery after stroke and traumatic brain injury. Cell 176: 1143–1157. e1113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Karpova NN, Pickenhagen A, Lindholm J, et al. (2011). Fear erasure in mice requires synergy between antidepressant drugs and extinction training. Science 334: 1731–1734. [DOI] [PMC free article] [PubMed] [Google Scholar]
  88. Kertesz A, Morlog D, Light M, et al. (2008). Galantamine in frontotemporal dementia and primary progressive aphasia. Dementia and geriatric cognitive disorders 25: 178–185. [DOI] [PubMed] [Google Scholar]
  89. Keser Z, Dehgan MW, Shadravan S, et al. (2017). Combined dextroamphetamine and transcranial direct current stimulation in poststroke aphasia. American journal of physical medicine & rehabilitation 96: S141–S145. [DOI] [PubMed] [Google Scholar]
  90. Keser Z & Francisco GE (2015). Neuropharmacology of poststroke motor and speech recovery. Physical Medicine and Rehabilitation Clinics 26: 671–689. [DOI] [PubMed] [Google Scholar]
  91. Kessler J, Thiel A, Karbe H, et al. (2000). Piracetam improves activated blood flow and facilitates rehabilitation of poststroke aphasic patients. Stroke 31: 2112–2116. [DOI] [PubMed] [Google Scholar]
  92. Kimura M, Robinson RG & Kosier JT (2000). Treatment of cognitive impairment after poststroke depression: a double-blind treatment trial. Stroke 31: 1482–1486. [DOI] [PubMed] [Google Scholar]
  93. Knecht S, Breitenstein C, Bushuven S, et al. (2004). Levodopa: faster and better word learning in normal humans. Annals of neurology 56: 20–26. [DOI] [PubMed] [Google Scholar]
  94. Korchounov A & Ziemann U (2011). Neuromodulatory neurotransmitters influence LTP-like plasticity in human cortex: a pharmaco-TMS study. Neuropsychopharmacology 36: 1894–1902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  95. Kraglund KL, Mortensen JK, Damsbo AG, et al. (2018). Neuroregeneration and vascular protection by citalopram in acute ischemic stroke (TALOS) a randomized controlled study. Stroke 49: 2568–2576. [DOI] [PubMed] [Google Scholar]
  96. Kumar A & Kitago T (2019). Pharmacological Enhancement of Stroke Recovery. Current neurology and neuroscience reports 19: 43. [DOI] [PubMed] [Google Scholar]
  97. Kuo H-I, Paulus W, Batsikadze G, et al. (2016). Chronic enhancement of serotonin facilitates excitatory transcranial direct current stimulation-induced neuroplasticity. Neuropsychopharmacology 41: 1223–1230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  98. Kurland J, Pulvermüller F, Silva N, et al. (2012). Constrained versus unconstrained intensive language therapy in two individuals with chronic, moderate-to-severe aphasia and apraxia of speech: behavioral and fMRI outcomes. American journal of speech-language pathology. [DOI] [PubMed] [Google Scholar]
  99. Lackland DT, Roccella EJ, Deutsch AF, et al. (2014). Factors influencing the decline in stroke mortality: a statement from the American Heart Association/American Stroke Association. Stroke 45: 315–353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Laska A, Von Arbin M, Kahan T, et al. (2005). Long-term antidepressant treatment with moclobemide for aphasia in acute stroke patients: a randomised, double-blind, placebo-controlled study. Cerebrovascular Diseases 19: 125–132. [DOI] [PubMed] [Google Scholar]
  101. Lee AW & Hillis-Trupe A (2008). The pharmacological treatment of aphasia. Handbook of the neuroscience of language. Elsevier Ltd. [Google Scholar]
  102. Lee S-T, Chu K, Jung K-H, et al. (2005). Granulocyte colony-stimulating factor enhances angiogenesis after focal cerebral ischemia. Brain research 1058: 120–128. [DOI] [PubMed] [Google Scholar]
  103. Leemann B, Laganaro M, Chetelat-Mabillard D, et al. (2011). Crossover trial of subacute computerized aphasia therapy for anomia with the addition of either levodopa or placebo. Neurorehabilitation and neural repair 25: 43–47. [DOI] [PubMed] [Google Scholar]
  104. Liepert J (2016). Update on pharmacotherapy for stroke and traumatic brain injury recovery during rehabilitation. Current opinion in neurology 29: 700–705. [DOI] [PubMed] [Google Scholar]
  105. Linn L (1947). Sodium amytal in treatment of aphasia. Archives of Neurology & Psychiatry 58: 357–358. [DOI] [PubMed] [Google Scholar]
  106. Linn L & Stein M (1946). Sodium amytal in treatment of aphasia; preliminary report. Bulletin of the US Army Medical Department. United States. Army. Medical Department 5: 705–708. [PubMed] [Google Scholar]
  107. Llano DA & Small SL (2015). Biological approaches to treatment of aphasia. In: Hillis AE (ed.) The handbook of adult language disorders. 2nd ed. New York, NY: Psychology Press. [Google Scholar]
  108. Llano DA & Small SL (2016). Pharmacotherapy for aphasia. Neurobiology of Language. Elsevier. [Google Scholar]
  109. Malykh AG & Sadaie MR (2010). Piracetam and piracetam-like drugs. Drugs 70: 287–312. [DOI] [PubMed] [Google Scholar]
  110. Marquez-Romero JM, Reyes-Martínez M, Huerta-Franco MR, et al. (2020). Fluoxetine for motor recovery after acute intracerebral hemorrhage, the FMRICH trial. Clinical Neurology and Neurosurgery 190: 105656. [DOI] [PubMed] [Google Scholar]
  111. Martinowich K & Lu B (2008). Interaction between BDNF and serotonin: role in mood disorders. Neuropsychopharmacology 33: 73–83. [DOI] [PubMed] [Google Scholar]
  112. Martinsson L, Hårdemark HG & Eksborg S (2007). Amphetamines for improving recovery after stroke. Cochrane Database of Systematic Reviews. [DOI] [PubMed] [Google Scholar]
  113. Mead GE, Hsieh CF, Lee R, et al. (2012). Selective serotonin reuptake inhibitors (SSRIs) for stroke recovery. Cochrane Database of Systematic Reviews. [DOI] [PMC free article] [PubMed] [Google Scholar]
  114. Mendez MF, Shapira JS, McMurtray A, et al. (2007). Preliminary findings: behavioral worsening on donepezil in patients with frontotemporal dementia. The American journal of geriatric psychiatry 15: 84–87. [DOI] [PubMed] [Google Scholar]
  115. Merson TD & Bourne JA (2014). Endogenous neurogenesis following ischaemic brain injury: insights for therapeutic strategies. The international journal of biochemistry & cell biology 56: 4–19. [DOI] [PubMed] [Google Scholar]
  116. Narushima K, Chan K-L, Kosier JT, et al. (2003). Does cognitive recovery after treatment of poststroke depression last? A 2-year follow-up of cognitive function associated with poststroke depression. American Journal of Psychiatry 160: 1157–1162. [DOI] [PubMed] [Google Scholar]
  117. Obi K, Amano I & Takatsuru Y (2018). Role of dopamine on functional recovery in the contralateral hemisphere after focal stroke in the somatosensory cortex. Brain research 1678: 146–152. [DOI] [PubMed] [Google Scholar]
  118. Okon-Singer H, Stout D, Stockbridge M, et al. (2017). The interplay of emotion and cognition. The nature of emotion. Fundamental questions 2. [Google Scholar]
  119. Orgogozo J-M (1999). Piracetam in the treatment of acute stroke. Pharmacopsychiatry 32: 25–32. [DOI] [PubMed] [Google Scholar]
  120. Orgogozo J-M, Capildeo R, Anagnostou C, et al. (1983). Development of a neurological score for the clinical evaluation of sylvian infarctions. Presse medicale (Paris, France: 1983) 12: 3039–3044. [PubMed] [Google Scholar]
  121. Otani S, Daniel H, Roisin M-P, et al. (2003). Dopaminergic modulation of long-term synaptic plasticity in rat prefrontal neurons. Cerebral cortex 13: 1251–1256. [DOI] [PubMed] [Google Scholar]
  122. Overman JJ, Clarkson AN, Wanner IB, et al. (2012). A role for ephrin-A5 in axonal sprouting, recovery, and activity-dependent plasticity after stroke. Proceedings of the National Academy of Sciences 109: E2230–E2239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  123. Pariente J, Loubinoux I, Carel C, et al. (2001). Fluoxetine modulates motor performance and cerebral activation of patients recovering from stroke. Annals of neurology 50: 718–729. [DOI] [PubMed] [Google Scholar]
  124. Park H & Poo M-m(2013). Neurotrophin regulation of neural circuit development and function. Nature Reviews Neuroscience 14: 7–23. [DOI] [PubMed] [Google Scholar]
  125. Parsons CG, Stöffler A & Danysz W (2007). Memantine: a NMDA receptor antagonist that improves memory by restoration of homeostasis in the glutamatergic system-too little activation is bad, too much is even worse. Neuropharmacology 53: 699–723. [DOI] [PubMed] [Google Scholar]
  126. Pashek GV & Bachman DL (2003). Cognitive, linguistic and motor speech effects of donepezil hydrochloride in a patient with stroke-related aphasia and apraxia of speech. Brain and Language 1: 179–180. [Google Scholar]
  127. Plaitakis A & Duvoisin RC (1983). Homer’s moly identified as Galanthus nivalis L.: physiologic antidote to stramonium poisoning. Clinical neuropharmacology 6: 1–5. [DOI] [PubMed] [Google Scholar]
  128. Porch B, Wyckes J & Feeney D Haloperidol, thiazides and some antihypertensives slow recovery from aphasia. Soc Neurosci Abstr, 1985. 52. [Google Scholar]
  129. Ramezani S, Reihanian Z, Yousefzadeh-Chabok S, et al. (2015). Pharmacotherapy to Improve the Acquired Aphasia following Brain Damages: A Review Study. Iranian Journal of Neurosurgery 1: 10–16. [Google Scholar]
  130. Rasmussen N (2006). Making the first anti-depressant: amphetamine in American medicine, 1929–1950. Journal of the history of medicine and allied sciences 61: 288–323. [DOI] [PubMed] [Google Scholar]
  131. Ripollés P, Ferreri L, Mas-Herrero E, et al. (2018). Intrinsically regulated learning is modulated by synaptic dopamine signaling. Elife 7: e38113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  132. Robinson RG, Shoemaker WJ & Schlumpf M (1980). Time course of changes in catecholamines following right hemispheric cerebral infarction in the rat. Brain Research 181: 202–208. [DOI] [PubMed] [Google Scholar]
  133. Rowe AS & Kurczewski L (2018). Neuropharmacologic Therapies for Recovery Following Traumatic Brain Injury and Ischemic Stroke. Neuropharmacotherapy in Critical Illness. [Google Scholar]
  134. Rude S, Gortner E-M & Pennebaker J (2004). Language use of depressed and depression-vulnerable college students. Cognition & Emotion 18: 1121–1133. [Google Scholar]
  135. Sabe L, Leiguarda R & Starkstein SE (1992). An open-label trial of bromocriptine in nonfluent aphasia. Neurology. [DOI] [PubMed] [Google Scholar]
  136. Sabe L, Salvarezza F, Cuerva AG, et al. (1995). A randomized, double-blind, placebocontrolled study of bromocriptine in nonfluent aphasia. Neurology 45: 2272–2274. [DOI] [PubMed] [Google Scholar]
  137. Saito K-I, Honda S, Egawa M, et al. (1985). Effects of bifemelane hydrochloride (MCI-2016) on acetylcholine release from cortical and hippocampal slices of rats. The Japanese Journal of Pharmacology 39: 410–414. [DOI] [PubMed] [Google Scholar]
  138. Santarelli L, Saxe M, Gross C, et al. (2003). Requirement of hippocampal neurogenesis for the behavioral effects of antidepressants. science 301: 805–809. [DOI] [PubMed] [Google Scholar]
  139. Sarter M & Parikh V (2005). Choline transporters, cholinergic transmission and cognition. Nature Reviews Neuroscience 6: 48–56. [DOI] [PubMed] [Google Scholar]
  140. Saxena S & Hillis AE (2017). An update on medications and noninvasive brain stimulation to augment language rehabilitation in post-stroke aphasia. Expert review of neurotherapeutics 17: 1091–1107. [DOI] [PubMed] [Google Scholar]
  141. Schaeverbeke J, Evenepoel C, Bruffaerts R, et al. (2017). Cholinergic depletion and basal forebrain volume in primary progressive aphasia. NeuroImage: Clinical 13: 271–279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  142. Schneider CL, Majewska AK, Busza A, et al. (2019). Selective serotonin reuptake inhibitors for functional recovery after stroke: Similarities with the critical period and the role of experience-dependent plasticity. Journal of neurology: 1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  143. Seniów J, Litwin M, Litwin T, et al. (2009). New approach to the rehabilitation of post-stroke focal cognitive syndrome: Effect of levodopa combined with speech and language therapy on functional recovery from aphasia. Journal of the neurological sciences 283: 214–218. [DOI] [PubMed] [Google Scholar]
  144. Shellshear L, MacDonald AD, Mahoney J, et al. (2015). Levodopa enhances explicit new-word learning in healthy adults: a preliminary study. Human Psychopharmacology: Clinical and Experimental 30: 341–349. [DOI] [PubMed] [Google Scholar]
  145. Shewan CM & Kertesz A (1980). Reliability and validity characteristics of the Western Aphasia Battery (WAB). Journal of Speech and Hearing Disorders 45: 308–324. [DOI] [PubMed] [Google Scholar]
  146. Shisler RJ, Baylis GC & Frank EM (2000). Pharmacological approaches to the treatment and prevention of aphasia. Aphasiology 14: 1163–1186. [Google Scholar]
  147. Sjostrom PJ, Rancz EA, Roth A, et al. (2008). Dendritic excitability and synaptic plasticity. Physiological reviews 88: 769–840. [DOI] [PubMed] [Google Scholar]
  148. Skidmore ER, Whyte EM, Holm MB, et al. (2010). Cognitive and affective predictors of rehabilitation participation after stroke. Archives of physical medicine and rehabilitation 91: 203–207. [DOI] [PMC free article] [PubMed] [Google Scholar]
  149. Small SL (1994). Pharmacotherapy of aphasia. A critical review. Stroke 25: 1282–1289. [DOI] [PubMed] [Google Scholar]
  150. Small SL (2004). A biological model of aphasia rehabilitation: Pharmacological perspectives. Aphasiology 18: 473–492. [Google Scholar]
  151. Small SL & Llano DA (2009). Biological approaches to aphasia treatment. Current Neurology and Neuroscience Reports 9: 443. [DOI] [PMC free article] [PubMed] [Google Scholar]
  152. Smirnova D, Cumming P, Sloeva E, et al. (2018). Language patterns discriminate mild depression from normal sadness and euthymic state. Frontiers in psychiatry 9: 105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  153. Smith ME & Farah MJ (2011). Are prescription stimulants “smart pills”? The epidemiology and cognitive neuroscience of prescription stimulant use by normal healthy individuals. Psychological bulletin 137: 717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  154. Sodhi M & Sanders-Bush E (2004). Serotonin and brain development. Int Rev Neurobiol 59: 111–174. [DOI] [PubMed] [Google Scholar]
  155. Sonkusare SK, Kaul C & Ramarao P (2005). Dementia of Alzheimer’s disease and other neurodegenerative disorders—memantine, a new hope. Pharmacological Research 51: 1–17. [DOI] [PubMed] [Google Scholar]
  156. Spiegel DR & Alexander G (2011). A case of nonfluent aphasia treated successfully with speech therapy and adjunctive mixed amphetamine salts. The Journal of neuropsychiatry and clinical neurosciences 23: E24–E24. [DOI] [PubMed] [Google Scholar]
  157. Stawicki S & Gerlach A (2009). Polypharmacy and medication errors: Stop, listen, look, and analyze. Opus 12: 6–10. [Google Scholar]
  158. Tanaka Y, Albert M, Aketa S, et al. (2004). Serotonergic Therapy for Fluent Aphasia: P02. 150 [abstract]. Neurology 62. [Google Scholar]
  159. Tanaka Y, Albert ML, Yokoyama E, et al. (2001). 126th Annual Meeting, American Neurological Association Rehabilitation, Regeneration, and Recovery: 200. Cholinergic Therapy for Anomia in Fluent Aphasia [abstract]. Annals of Neurology 50: S61–S62. [Google Scholar]
  160. Tanaka Y & Miyazaki M (1997). Effects of increased cholinergic activity on naming in aphasia. The Lancet 350: 116–117. [DOI] [PubMed] [Google Scholar]
  161. Ueno Y, Chopp M, Zhang L, et al. (2012). Axonal outgrowth and dendritic plasticity in the cortical peri-infarct area after experimental stroke. Stroke 43: 2221–2228. [DOI] [PMC free article] [PubMed] [Google Scholar]
  162. Vetencourt JFM, Tiraboschi E, Spolidoro M, et al. (2011). Serotonin triggers a transient epigenetic mechanism that reinstates adult visual cortex plasticity in rats. European Journal of Neuroscience 33: 49–57. [DOI] [PubMed] [Google Scholar]
  163. Walker-Baston D, Devous MD Sr, Curtis SS, et al. (1991). Response to amphetamine to facilitate recovery from aphasia subsequent to stroke. Clinical Aphasiology 20: 137–143. [Google Scholar]
  164. Walker-Batson D, Curtis S, Natarajan R, et al. (2001). A double-blind, placebo-controlled study of the use of amphetamine in the treatment of aphasia. STROKE-DALLAS- 32: 2093–2096. [DOI] [PubMed] [Google Scholar]
  165. Walker-Batson D, Mehta J, Smith P, et al. (2016). Amphetamine and other pharmacological agents in human and animal studies of recovery from stroke. Progress in Neuro-Psychopharmacology and Biological Psychiatry 64: 225–230. [DOI] [PubMed] [Google Scholar]
  166. Wang J-W, David DJ, Monckton JE, et al. (2008). Chronic fluoxetine stimulates maturation and synaptic plasticity of adult-born hippocampal granule cells. Journal of Neuroscience 28: 1374–1384. [DOI] [PMC free article] [PubMed] [Google Scholar]
  167. Wang JM (2014). Allopregnanolone and neurogenesis in the nigrostriatal tract. Frontiers in cellular neuroscience 8: 224. [DOI] [PMC free article] [PubMed] [Google Scholar]
  168. West R & Stockel S (1965). The effect of meprobamate on recovery from aphasia. Journal of speech and hearing research 8: 57–62. [DOI] [PubMed] [Google Scholar]
  169. Whitehouse PJ, Price DL, Clark AW, et al. (1981). Alzheimer disease: evidence for selective loss of cholinergic neurons in the nucleus basalis. Annals of Neurology: Official Journal of the American Neurological Association and the Child Neurology Society 10: 122–126. [DOI] [PubMed] [Google Scholar]
  170. Whiting E, Chenery HJ, Chalk J, et al. (2007). Dexamphetamine boosts naming treatment effects in chronic aphasia. Journal of the International Neuropsychological Society 13: 972–979. [DOI] [PubMed] [Google Scholar]
  171. Whiting E, Chenery HJ, Chalk J, et al. (2008). The explicit learning of new names for known objects is improved by dexamphetamine. Brain and language 104: 254–261. [DOI] [PubMed] [Google Scholar]
  172. Woodhead ZV, Crinion J, Teki S, et al. (2017). Auditory training changes temporal lobe connectivity in ‘Wernicke’s aphasia’: a randomised trial. Journal of Neurology, Neurosurgery & Psychiatry 88: 586–594. [DOI] [PMC free article] [PubMed] [Google Scholar]
  173. Ying C, Yan-sheng L, Zhiying W, et al. (2010). 多奈哌齐治疗卒中后失语的疗效观察 [The efficacy of donepezil for post-stroke aphasia: a pilot case control study]. 中华内科杂志 [Chinese Journal of Internal Medicine] 49: 115–118. [PubMed] [Google Scholar]
  174. Yoon SY, Kim J-K, An Y-s, et al. (2015). Effect of donepezil on wernicke aphasia after bilateral middle cerebral artery infarction: Subtraction analysis of brain F-18 fluorodeoxyglucose positron emission tomographic images. Clinical neuropharmacology 38: 147–150. [DOI] [PubMed] [Google Scholar]
  175. Zhang J, Wei R, Chen Z, et al. (2016). Piracetam for aphasia in post-stroke patients: a systematic review and meta-analysis of randomized controlled trials. CNS drugs 30: 575–587. [DOI] [PubMed] [Google Scholar]
  176. Zhang X, Shu B, Zhang D, et al. (2018). The Efficacy and Safety of Pharmacological Treatments for Post-stroke Aphasia. CNS & Neurological Disorders - Drug Targets 17: 509–521. [DOI] [PubMed] [Google Scholar]
  177. Zhao L-R, Berra HH, Duan W-M, et al. (2007). Beneficial effects of hematopoietic growth factor therapy in chronic ischemic stroke in rats. Stroke 38: 2804–2811. [DOI] [PubMed] [Google Scholar]
  178. Zittel S, Weiller C & Liepert J (2008). Citalopram improves dexterity in chronic stroke patients. Neurorehabilitation and neural repair 22: 311–314. [DOI] [PubMed] [Google Scholar]

RESOURCES