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Vol. 2. Núm. 2.
Páginas 87-99 (abril - junio 2022)
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Vol. 2. Núm. 2.
Páginas 87-99 (abril - junio 2022)
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What have we learned from aphasias in the 21st century? Neuroanatomical, cognitive, and diagnostic implications of the ventral language stream
¿Qué hemos aprendido de las afasias en el siglo XXI?: Implicaciones neuroanatómicas, cognitivas y diagnósticas de la red ventral del lenguaje
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A. Fernández-Del Olmo1,
Autor para correspondencia
aaronneuropsicologia@gmail.com

Corresponding author.
, M.I. Medina-Valera2
1 Neuropsychologist, Hospital San Juan de Dios, Sevilla, España
2 Physiotherapist, Hospital San Juan de Dios, Sevilla, España.
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Table 1. Diagnostic classification of aphasias according to the classical model.
Table 2. Critiques of the classical model.
Table 3. Profile of possible cognitive alterations within semantic dementia.
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Abstract
Introduction

Our understanding of the neural basis of language has grown enormously over the last 2 decades. However, the classical anatomical-lesional model of aphasias, which began with Paul Broca in the late 18th century and culminated with Geschwind in the 1970s, continues to be widely used both in the academic and the clinical contexts.

Development

We discuss the limitations of the classical model from a neuroanatomical, cognitive, and diagnostic perspective. We address in detail the explanatory models of the last 20 years that focus on linguistic processes and neural correlates, including the ventral stream, and analyse the increase in scientific publications that associate this pathway with language, proposing that it may be part of a multimodal association circuit.

Conclusions

This review of the new cognitive and neuroanatomical models of language shows the deficiencies of the classical classification and suggests that some semantic aphasic disorders may be concealed by these categories. There is a need for an assessment based on cognitive processes; we indicate some specific tests for the detection of verbal semantic alterations and guidelines for their rehabilitation.

Keywords:
Aphasia
semantic dementia, language
ventral stream
dorsal stream
neuropsychology
Resumen
Introducción

El conocimiento sobre de las bases neurales del lenguaje ha experimentado un enorme crecimiento a lo largo de las dos décadas que llevamos del siglo XXI. Sin embargo, el modelo clásico anatómico lesional de las afasias, comenzado por Paul Broca a finales del siglo XVIII y culminado por Geschwind en la década de los 70 del siglo pasado, sigue teniendo un fuerte arraigo a nivel académico y clínico.

Desarrollo

Se señalan las limitaciones del modelo clásico a nivel neuroanatómico, cognitivo y diagnóstico. Se profundiza en los modelos explicativos de los últimos 20 años de los procesos lingüísticos y correlatos neuronales que incluyen la red ventral. Se analiza el incremento de publicaciones científicas que relacionan esta red con el lenguaje, planteando la posibilidad formar parte de un circuito de asociación multimodal

Conclusiones

la revisión actual de los nuevos modelos cognitivos y neuroanatómicos del lenguaje muestran insuficiente la clasificación clásica y plantean la existencia de cuadros afásicos semánticos ocultos en estas categorías. Se plantea la necesidad de hacer una valoración en base a procesos cognitivos, señalando pruebas específicas para una detección de las alteraciones semánticas verbales y pautas de rehabilitación de las mismas.

Palabras Clave:
Afasia
Demencia semántica
lenguaje
Red ventral
Red Dorsal
Neuropsicología
Texto completo
Introduction

It has now been over a century since Wittgenstein(1) wrote in his Tractatus logico-philosophicus that “the limits of language are the limits of my world.” While in this quote, the philosopher referred to language as a mirror reflecting objects in the world, (2,3) the idea takes on a very different meaning when applied in the context of aphasia. Over the last 2 decades, new and complex techniques have deepened our understanding of how verbal meaning is represented in the brain. This also invites an integral reflection on how we classify and approach aphasia, which might shed light on how aphasia limits a patient’s “world,” even beyond language impairment.

The classical Broca-Wernicke model

The first descriptions of the cerebral basis of language arose from anatomical studies of brain lesions by Paul Broca and Karl Wernicke in the late 19th century,(4–6) which related the posterior part of the third frontal gyrus with expression and the posterior area of the left superior temporal lobe with comprehension. This initial dissociation was further developed with subsequent contributions from Lichtheim,(7) who indicated the relationship between the arcuate fasciculus and verbal repetition, and Norman Geschwind, (8) who associated the angular gyrus with phonological aspects of language, giving rise to the classical model that has constituted the basis for our understanding and classification of aphasias for the last century (Fig. 1).

Figure 1.

Classical or anatomical lesional model of language, including the Broca area (red), associated with expression, the Wernicke area (blue), associated with verbal comprehension, and the arcuate fasciculus (green), associated with repetition.

(0.3MB).
The classification of aphasias and its problems

The dissociations that gave rise to this model (expression/comprehension and repetition/non-repetition) enabled the creation of a diagnostic taxonomy of different subtypes of aphasia (Table 1), leading to a series of classical evaluation tools, such as the Western Aphasia Battery and the Boston Diagnostic Aphasia Examination, which aimed to place the patient in the most appropriate category and to measure the severity of aphasia.(4,5,9–11)

Table 1.

Diagnostic classification of aphasias according to the classical model.

Expression  Comprehension  Repetition  Naming  Category 
Impaired  Intact  Impaired  Partially impaired  Broca 
Intact  Impaired  Impaired  Impaired  Wernicke 
Intact  Intact  Impaired  Intact  Conduction 
Impaired  Impaired  Impaired  Impaired  Global 
Impaired  Intact  Intact  Partially impaired  Transcortical motor 
Intact  Impaired  Intact  Partially impaired  Transcortical sensory 
Impaired  Impaired  Intact  Partially impaired  Mixed transcortical 
Partially impaired  Intact  Intact  Impaired  Anomic 

This system remains one of the most widely used approaches in the assessment of aphasia,(12–15) although a large body of evidence now suggests that it does not accurately reflect the clinical reality. This evidence highlights problems in 3 main areas (Table 2):

Table 2.

Critiques of the classical model.

Dimension  Critique  Reference 
Neuroanatomy  Incomplete from an anatomical perspective  (17,18
  Does not account for connectivity  (16,18
  Purely cortical model  (16–18,24
  Real delimitation of important nuclei  (15
Cognition  Some processes not included in the model  (28,29
  Excludes relationship with other functions  (30–32
Diagnosis  Clinical signs falling outside diagnostic categories  (35–37
  Lesions rarely affect a single structure.  (15
  Overlap of signs between categories  (9
  Inconsistencies within categories  (38–40

-Neuroanatomy. Studies conducted over the last 2 decades have identified numerous regions in the left hemisphere that are essential to language processing but are not recognised in the classical model,(5,9,15–18) which also neglects the contribution of the right hemisphere.(19,20)

Moreover, delimitation of the Broca and Wernicke areas is imprecise. For example, Tremblay and Dick(14) compiled the various characterisations of these regions by other authors, observing that there was significant variability in the sizes reported in different studies, which had clinical and diagnostic implications depending on the definition used.(21–23)

Finally, from a neuroanatomical perspective, this model does not fully account for the role of subcortical structures in cognition in general and in language in particular.(24–26)

-Cognition. The dissociations between expression and comprehension and between repetition and non-repetition present certain limitations in the light of advances made in cognitive neuroscience in the late 20th century. Semantic problems do not fit into this model, and many other consolidated entities affecting linguistic processes are not taken into account when establishing a diagnosis.(27,28)

Another problem is that the model considers language as an isolated cognitive function, when current paradigms of neuropsychological evaluation posit that it is interconnected with other cognitive processes (eg, executive control, working memory, and semantic memory). As a result of this interrelation, problems with verbal expression or comprehension do not necessarily result from a linguistic problem, which may have therapeutic implications.(29–31)

-Diagnosis. In the light of the issues mentioned above, it seems logical to consider that the diagnostic categories of the classical model may not enable correct delimitation of different profiles of aphasia.

Firstly, a categorical model is unable to explain many of the cognitive alterations observed in patients with aphasia, as they are not relevant to the classical system of classification. For example, we may mention the presence of apraxia, executive dysfunction, or issues related to complex verbal comprehension.(32–36)

Secondly, several authors report limitations and biases in studies of patients with aphasia diagnosed according to the classical classification. The difficulty of establishing groups of patients with lesions involving specific nuclei and not extending to other areas constitutes a significant limitation for the extrapolation of results.(14) Furthermore, these studies mainly include groups of patients with vascular lesions involving the left middle cerebral artery,(30) which is not related to other regions important in language; this also constitutes a significant bias.

Thirdly, some studies highlight the copresence of language alterations from different, supposedly mutually exclusive, diagnostic categories. There is also significant variability in the status of other processes in each diagnostic category, such as reading or writing.(14,28)

Finally, the classification system as a whole presents numerous inconsistencies. For example, anomia is a feature of practically all types of aphasia, which contradicts the existence of anomic aphasia as a specific entity; this seems to suggest that there may be several currently unrecognised causes of anomia.(12,37) Another example would be global aphasia, which should be understood as simultaneous damage to the Broca and Wernicke areas, despite the fact that many patients with similar clinical alterations present no such lesion.(38,39) Similarly, presence of a sensory verbal issue (discrimination of the stimulus) seems incompatible with unimpaired repetition, as is the case with transcortical sensory aphasia.(40)

In the light of all the issues mentioned above, there is a need for a radical update proposing new forms of evaluating and managing aphasia, especially if we take into consideration studies indicating that, while many academics and clinicians regard the classical model as outdated, no current model proposes a more accurate approach to aphasia.(14)

A new conception of language

-The new cognitive models of language

One critique of the classical model is precisely that it does not account for advances made in the late 20th century in the fields of psycholinguistics and cognitive neuroscience. Since Chomsky’s(41) critique of Skinner’s(42) radical behaviourist explanation of verbal behaviour, new models have attempted to characterise the processes underlying language.(27,43–46)

A noteworthy example is the model suggested by Ellis and Young,(27) who offer an in-depth analysis of the classical dissociation between expression and comprehension and propose a series of cognitive processes that sequentially form the basis of speech production and comprehension, as well as the execution of such processes as reading and writing (Fig. 2).

Figure 2.

Cognitive model proposed by Ellis and Young.(27) This model includes 2 pathways of speech production, one containing a mechanism of auditory-phonological conversion for the repetition of meaningless sounds, and another beginning in the semantic system in order to convert thoughts into words. The authors signal the importance for language comprehension of matching words heard with known meanings, the phonological input lexicon, and the set of known words.

(0.24MB).

This process-based characterisation of language requires evaluation to transcend the use of diagnostic labels. Several tests have been developed to that end, such as the Psycholinguistic Assessment of Language Processing in Aphasia (PALPA),(47) which converges with more qualitative assessment scales, such as those proposed by the Boston school for general neuropsychological assessment.(48–50)

-New brain correlates of language

Anatomical-lesional techniques may be considered to have a more limited scope for establishing associations between the brain and language, as they do not account for the functioning of the brain in vivo and fail to recognise the role of white matter. Neuroimaging techniques developed in the last 20 years have enabled us to observe and establish relationships between different linguistic processes and their cerebral correlates.

For example, Hickok and Poeppel(16) used diffusion tensor imaging to analyse the connectivity of the Wernicke area, confirming the existence of 2 main pathways (a superior or dorsal stream and an inferior or ventral stream), inferring that these carry information processed in that region. The first route would overlap fully with the classical Broca-Wernicke model, according to which it is related with verbal production. The second route comprises projections from the Wernicke area to the temporal lobe, and particularly the anterior temporal lobe (ATL), a structure not mentioned in the classical models.(15,16,51,52) This network is related to verbal comprehension, and is often referred to as the “what pathway” (Fig. 3a).

Figure 3.

a) Representation of the two-stream model,(16) with a dorsal stream connecting the Broca area to the Wernicke area, related to verbal expression, and a ventral stream connecting the Wernicke area to the temporal lobe, related to comprehension. b) Extended two-stream model,(17) including the superior longitudinal fasciculus and the arcuate fasciculus in the dorsal stream and the uncinate fasciculus and the inferior fronto-occipital fasciculus in the ventral stream.

(0.69MB).

Subsequently, Friederici and Gierhan(17) studied these pathways in greater depth, dividing the dorsal and ventral pathways into 2 new segments (Fig. 3b). The dorsal pathway connects the Broca and Wernicke areas via 2 fascicles, the arcuate fasciculus (included in the classical model) and the superior longitudinal fasciculus (which has important links with the angular gyrus); the authors associate these pathways with grammar and with phonology/repetition, respectively.(17,53–55) The previously overlooked ventral pathway is divided into the inferior fronto-occipital fasciculus (IFOF) and the uncinate fasciculus (UF), related to the comprehension of isolated words and the comprehension of complex sentences, respectively.(56,57) While this model is more specific, it is somewhat more difficult to establish such a direct relationship between processes and specific brain structures, although there seems to be a reasonable amount of evidence that this pathway may be highly involved in semantic aspects.(30,31,58,59)

As the dorsal pathway has received more attention overall on account of its overlap with the classical model of language,(14) it would be beneficial to analyse the specific implications of including the ventral pathway in language models, and whether this would enable us to overcome some of the limitations of the classical model.

Further analysis of the ventral pathway

In the last decade, increasing numbers of studies have related language with the ventral pathway, despite it initially being considered to play a greater role in visual processes.(60) A PubMed search of publications including the terms “language” and “ventral stream” in the title or abstract (Fig. 4a) yielded a total of 92 articles published since 1998, 82 of which (88%) were published in the last 10 years. Only 2 were published before the year 2000, but focus on visual function.(61,62) Articles addressing the relationship between the ventral stream and language follow a very broad range of approaches (Fig. 4b), including basic studies of the healthy population to characterise its functioning(63–83) and studies of surgical procedures,(56,84–97) aphasia,(98–112) neurodevelopment,(113–118) and such disorders as Parkinson’s disease,(119) multiple sclerosis,(120) and progressive impairment.(121,122) Some studies even address comparative and evolutionary neuroscience.(123–127) This trend has contributed new evidence to change our form of understanding language from the 3 perspectives in which the classical model presents limitations.

Figure 4.

a) Historical series of publications including the words “language” and “ventral stream” in the title or abstract (PubMed search). b) Distribution of articles identified in the search by topic. The articles addressing visual aspects are those that focus more on visual than on linguistic aspects of the ventral stream (9 in total).

(0.38MB).
Neuroanatomy

From a neuroanatomical perspective, the inclusion of the IFOF and UF is highly relevant. The IFOF connects frontal and occipital areas, running parallel to the medial temporal lobe(17,31,128–130) and connecting to the ATL with projections to the superior temporal lobe. The UF, on the other hand, directly connects the ATL to the posterior inferior frontal cortex, although it presents significant overlap with the IFOF where it crosses the external capsule.(56,129,130) In other words, the ventral pathway connects frontal, temporal, and occipital structures in such a way that, given its extension, it appears to be a multimodal pathway, as has been argued in recent years, rather than solely a language pathway.(131–134)

For example, Leonard Koziol’s research group conducted a detailed study to integrate cortical and subcortical structures in what they call “large-scale brain systems.”(24–26) One of the systems they identified is the ventral attention network, comprising the temporoparietal junction, supramarginal gyrus, frontal operculum, anterior insula, and projections to the striatum. This network overlaps with the ventral language stream, connected with subcortical structures involved in the attribution of value to stimuli.(24) This would confirm its role as a multimodal network of semantic processing.

Also related to this idea is the “hub and spoke” theory,(30,131–133) according to which this large ventral pathway would include a structure acting as the central hub or node, the ATL. The hub would receive information from other cortical regions, distributed across various different routes (spokes) (Fig. 5). Therefore, we may observe either unimodal (if a specific spoke is affected) or multimodal impairment (if the central hub is damaged). An example of unimodal impairment would be associative visual agnosia, in which patients are unable to visually recognise a known object, but are able to copy it and match it with similar objects; IFOF lesions would be involved in this disorder.(135)

Figure 5.

Reproduction of the “hub and spoke” model (adapted from Ralph et al.(30)), showing the different connections between the anterior temporal lobe and other regions responsible for different processes, whose information is integrated in this association area. Information would follow a specific pathway from the primary areas to the association areas; specific alterations of those areas may occur if the corresponding “spoke” is interrupted, and more general alterations may occur if the “hub” is damaged. It is worth noting that many of these areas involved in semantic representation overlap with other more executive areas involved in control.

(0.35MB).

This would entail the need to conduct a more detailed assessment of the extent of semantic problems in aphasias, as some patients with apparently speech-related symptoms may in fact present multimodal impairment. Regarding the processes underlying this ventral pathway, one interesting line of research is the study of primary progressive aphasias (PPA), and particularly semantic dementia (SD).

Processes

A recent study by Matias-Guiu et al.(136) identified 5 possible variants of PPA, rather than the 3 types established in the previous consensus classification,(137) by grouping different cerebral metabolic activation profiles (using FDG-PET imaging); these profiles coincided with the linguistic impairment profiles that were clearly distinguished in a process-based assessment of language. This enabled a distinction to be made between 2 forms of nonfluent aphasia (one with more apraxic and another with more agrammatic features), related to the anterior part of the dorsal stream, 2 types of logopenic aphasia (with differences in action naming), related to the parietotemporal region, and SD, related to the predominantly left ATL.

In general, atrophy of the left ATL in patients with PPA is associated with the loss of semantic content, initially with mainly linguistic involvement, with loss of the meanings of previously acquired words.(138,139) It initially affects words requiring greater imageability (abstraction) and progressively affects the semantic network of language, with a loss of more specific content from different categories.(58,59) In this context, language impairment may be considered transversal (Table 3).

Table 3.

Profile of possible cognitive alterations within semantic dementia.

Function  Domain  Sign 
Language  Expression  Reduced speech 
    Reduced complexity 
    Perseveration and lack of ideas 
  Comprehension  Problems recognising meanings of single spoken words 
    Problems understanding complex spoken verbal structures 
  Naming  Problems naming objects due to limited vocabulary 
    Difficulty pairing words and images 
Learning  Reading  Problems understanding single written words 
    Problems with general comprehension of texts 
  Writing  Word-form agnosia: arbitrary loss of spelling 
Visual perception  Face perception  Prosopagnosia: problems integrating faces 
  Imageability  Reduced future-oriented thought and daydreams 

However, patients also present other non-linguistic signs, such as prosopagnosia; problems with visual concepts in the context of bilateral ATL atrophy; reduced imageability and future-oriented thought; and potentially reduced daydreams and dream content.(140–143)

In this regard, acute injury to the ATL may cause highly variable impairment of these semantic processes, affecting one or several areas. It is essential to be aware that aphasia may present characteristic signs and impairment of semantic processes that often are not clearly recognised in the classical conception; this is highly relevant in clinical diagnosis and management.

Clinical diagnosis

The study by Mesulam et al.(58) offers valuable insight into the diagnostic implications of the ventral language stream. In a sample of 73 patients diagnosed with SD, the authors studied the function of the Wernicke area and the ATL, concluding that the Wernicke area is more related to repetition and phonological encoding (auditory discrimination), and has less involvement in verbal comprehension, as had traditionally been believed. On the other hand, the ATL and inferior areas of the temporal lobe represent the neural substrate of this semantic comprehension, which would give a new meaning to transcortical sensory aphasia, which may be better characterised as a possible acquired semantic aphasia secondary to ventral involvement.

A study by Cuetos et al., (37) in a sample of 28 individuals with aphasic sequelae of acquired brain injury, analyses the pattern of language difficulties in the errors recorded in naming tasks. The authors indicate 3 types of anomia: pure or access anomia, phonological anomia, and semantic anomia. The authors note that while there are no issues classifying access anomia within the category of anomic aphasia, the phonological and semantic forms do not clearly fall within any of the other classical diagnostic categories, which would not allow for adequate understanding of the problem. This semantic anomia would be a sign of acquired semantic aphasia secondary to ventral stream involvement. In fact, this reduction of vocabulary due to semantic involvement would result in a decrease in verbal expression and comprehension compatible with global aphasia, without damage to the nuclei classically associated with this disorder (Broca and Wernicke areas). These data suggest the existence of profiles of semantic aphasia that overlap with the classical diagnostic labels, which would be difficult to identify without analysing language processes.(28)

Implications for assessment and treatment

Following this line of reasoning, assessment of a possible aphasic syndrome must be based on the analysis of linguistic processes, with specific attention paid to the different processes that rely on the ventral stream. For instance, the PALPA enables discrimination of different processes involved in speech production and comprehension.(47) This does not imply that we should cease to use the classical batteries, but rather that the results should be interpreted according to the signs observed during their administration, as has been proposed for other dementia screening tests.(50)

Furthermore, the multimodal nature of the ventral stream requires us to make distinctions between different processes, such as those that can be made with the Pyramids and Palm Trees test.(144) Involvement of different semantic processes may have an impact on language production and comprehension, and these processes should be appropriately examined and distinguished. This is also highly important in patients undergoing awake brain surgery, in whom neuropsychological assessment of language processes may significantly reduce the cognitive alterations associated with these interventions, generally based on the evaluation of the status of eloquent areas derived from the classical model (Broca and Wernicke areas).(90,91,128) Likewise, such new techniques as the analysis of speech production in combination with machine learning may contribute significantly to determining the profile of language alterations(145); the combined use of various neuroimaging techniques may also be valuable, without forgetting the importance of neuropsychological evaluation of linguistic processes.(136,146)

Proper delimitation of a patient’s cognitive profile will enable more tailored treatment approaches. Semantic alterations may often be the underlying problem in patients with impaired language expression or comprehension, and targeted work is key to adequate rehabilitation. This work should focus on the reconstruction of the verbal semantic network, taking advantage of preserved content.(147,148) Training image-word pairs, association of known words with synonyms and antonyms, and copying dictated words with irregular forms or arbitrary spelling are examples of exercises that promote the recovery of this verbal semantic component, although further studies are needed to properly delimit these deficits and contribute further data on their effectiveness.(149)

Conclusions

The new cognitive and cerebral models of language, developed in the last 20 years, underscore the limitations of the classical model of aphasia at several levels.

In terms of neuroanatomy, the entire ventral stream is omitted from the latter model, which overlooks the importance of different fascicles and regions, such as the external capsule or the ATL, in semantic comprehension.(129,130) The multimodal nature of this pathway forces us to view language as a function that is interdependent with other cognitive processes, rather than as an isolated entity.

In terms of processes and diagnosis, the dissociations between expression and comprehension and between repetition and non-repetition do not accurately describe language processing as it is currently understood. In this classification, and specifically in transcortical aphasias, the integrity of repetition conceals a series of semantic alterations inherent to the ventral stream, whose multimodal nature may lead to the emergence of different subtypes of semantic impairment affecting language. On account of this, it is essential to evaluate the functional integrity of this semantic network, with neuropsychological assessment being key to detecting any alterations.

Understanding the importance of this network in our way of knowing the world in general, and of organising language in particular, brings us back to the famous words of Wittgenstein. Thus, while language may constitute the limits of the world of a person with aphasia, verbal semantic concepts and representations are precisely the world that that person would have constructed through their experience. A world that can be destroyed by many aphasias, which in turn limit language itself.

Conflict of interest

The authors have no conflicts of interest to declare.

Appendix A
Supplementary data

Supplementary material

References
[1.]
Wittgenstein L. Tractatus Logico-philosophicus. Routledge; 1990. 214 p.
[2.]
Meca DS. Teoría del conocimiento. Dykinson; 2001. 750 p.
[3.]
Pérez AE. Turbulencias. Ápeiron Ediciones; 2019. 330 p.
[4.]
A. Ardila.
Las afasias.
Florida (EEUU), (2006),
[5.]
Vega FC. Neurociencia del Lenguaje: Bases neurológicas e implicaciones clínicas. Editorial Medica Panamericana Sa de; 2012. 176 p.
[6.]
Wernicke C. The Symptom Complex of Aphasia. En: Cohen RS, Wartofsky MW, editores. Proceedings of the Boston Colloquium for the Philosophy of Science 1966/1968 [Internet]. Dordrecht: Springer Netherlands; 1969 [citado 15 de agosto de 2021]. p. 34-97. (Boston Studies in the Philosophy of Science). Disponible en: https://doi.org/10.1007/978-94-010-3378-7_2
[7.]
Lichtheim L. On Aphasia (1885). En: Broca’s Region [Internet]. New York: Oxford University Press; 2006 [citado 15 de agosto de 2021]. Disponible en: https://oxford.universitypressscholarship.com/10.1093/acprof:oso/9780195177640.001.0001/acprof-9780195177640-chapter-20
[8.]
N. Geschwind.
Disconnexion syndromes in animals and man: Part I. 1965.
Neuropsychol Rev., 20 (1965), pp. 128-157
[9.]
M. Gonzalez-Nosti, E. Herrera-Gómez.
Evaluación neuropsicológica del lenguaje.
Síntesis, (2019),
[10.]
H. Goodglass, E. Kaplan, S. Weintraub, B. Barresi.
Boston diagnostic aphasia examination.
Lippincott Williams & Wilkins, (2001),
[11.]
A. Kertesz.
Western Aphasia battery: test booklet.
Grune & Stratton, (1982),
[12.]
A. Ardila.
Las Afasias.
Centro Universitario de Ciencias Sociales y Humanidades, (2005), pp. 350
[13.]
A. Ardila, D.F. Benson.
Aphasia: A clinical perspective.
Oxford University Press, (1996),
[14.]
P. Tremblay, A.S. Dick.
Broca and Wernicke are dead, or moving past the classic model of language neurobiology.
Brain Lang. noviembre de, 162 (2016), pp. 60-71
[15.]
Fridriksson J, den Ouden D-B, Hillis AE, Hickok G, Rorden C, Basilakos A, et al. Anatomy of aphasia revisited. Brain. 1 de marzo de 2018;141(3):848-62.
[16.]
Hickok G, Poeppel D. Dorsal and ventral streams: a framework for understanding aspects of the functional anatomy of language. Cognition. 1 de mayo de 2004;92(1):67-99.
[17.]
A.D. Friederici, S.M. Gierhan.
The language network.
Current Opinion in Neurobiology., 23 (2013), pp. 250-254
[18.]
J. Ibañez, A. Del Barco, E. Romaguera, Olmo A. Fernández-Del.
Neuropsicologia del daño cerebral sobrevenido por Ictus y TCE.
Síntesis, (2020),
[19.]
A.K. Lindell.
In your right mind: right hemisphere contributions to language processing and production.
Neuropsychol Rev. septiembre de, 16 (2006), pp. 131-148
[20.]
Taylor KI, Regard M. Language in the Right Cerebral Hemisphere: Contributions from Reading Studies. Physiology. 1 de diciembre de 2003;18(6):257-61.
[21.]
Nielsen JM. Agnosia, Apraxia, Aphasia: Their Value in Cerebral Localization. Hoeber; 1946. 292 p.
[22.]
Geschwind N. The Organization of Language and the Brain: Language disorders after brain damage help in elucidating the neural basis of verbal behavior. Science. 27 de noviembre de 1970;170(3961):940-4.
[23.]
Penfield W, Roberts L. Speech and Brain Mechanisms. Princeton University Press; 2014. 301 p.
[24.]
L.F. Koziol, L.A. Barker, S. Hrin, A.W. Joyce.
Large-scale brain systems and subcortical relationships: practical applications.
Appl Neuropsychol Child., 3 (2014), pp. 264-273
[25.]
L.F. Koziol, P. Beljan, K. Bree, J. Mather.
Barker L.
An Effort to Move Forward. Springer, (2016), pp. 158
[26.]
pubmeddev, al KL et. The small-world organization of large-scale brain systems and relationships with subcortical structures. - PubMed - NCBI [Internet]. [citado 21 de agosto de 2019]. Disponible en: https://www.ncbi.nlm.nih.gov/pubmed/25268686
[27.]
A. Ellis, A. Young.
Neuropsicología cognitiva humana.
Masson, (1992),
[28.]
Vega FC. Evaluación y rehabilitación de las afasias. Aproximación cognitiva. Edición: 1. Madrid: Editorial Médica Panamericana S.A.; 1998. 236 p.
[29.]
Cahana-Amitay D, Albert ML. Redefining Recovery from Aphasia. Oxford University Press; 2015. 305 p.
[30.]
M.A.L. Ralph, E. Jefferies, K. Patterson, T.T. Rogers.
The neural and computational bases of semantic cognition.
Nat Rev Neurosci. enero de, 18 (2017), pp. 42-55
[31.]
Hodgson VJ, Ralph MAL, Jackson RL. Multiple dimensions underlying the functional organisation of the language network [Internet]. 2021 feb [citado 15 de agosto de 2021] p. 2021.02.05.429902. Disponible en: https://www.biorxiv.org/content/10.1101/2021.02.05.429902v2
[32.]
Politis DG. [Alterations in the imitation of gestures (conduction apraxia)]. Rev Neurol. 16 de abril de 2004;38(8):741-5.
[33.]
Kobayashi S, Ugawa Y. Relationships between Aphasia and Apraxia. Journal of Neurology & Translational Neuroscience [Internet]. [citado 15 de agosto de 2021]; Disponible en: http://www.jscimedcentral.com/Neuroscience/neuroscience-2-1028.php
[34.]
A.D. Friederici.
The cortical language circuit: from auditory perception to sentence comprehension.
Trends Cogn Sci. mayo de, 16 (2012), pp. 262-268
[35.]
Cooke A, Zurif E, DeVita C, Alsop D, Koenig P, Detre J, et al. Neural basis for sentence comprehension: Grammatical and short-term memory components. Human brain mapping. 1 de marzo de 2002;15:80-94.
[36.]
B. Ishkhanyan, V. Michel Lange, K. Boye, J. Mogensen, A. Karabanov, G. Hartwigsen, et al.
Anterior and Posterior Left Inferior Frontal Gyrus Contribute to the Implementation of Grammatical Determiners During Language Production.
Frontiers in Psychology., 11 (2020), pp. 685
[37.]
Cuetos F, González-Nosti M, Sánchez-Cortés N, Griffith H, Cabezas C, García P, et al. Tipos de trastornos anómicos en las afasias. Revista de Logopedia, Foniatría y Audiología. 1 de enero de 2010;30(1):16-22.
[38.]
Hanlon RE, Lux WE, Dromerick AW. Global aphasia without hemiparesis: language profiles and lesion distribution. Journal of Neurology, Neurosurgery & Psychiatry. 1 de marzo de 1999;66(3):365-9.
[39.]
L.A. Vignolo, E. Boccardi, L. Caverni.
Unexpected CT-scan findings in global aphasia.
Cortex. marzo de, 22 (1986), pp. 55-69
[40.]
Boatman D, Gordon B, Hart J, Selnes O, Miglioretti D, Lenz F. Transcortical sensory aphasia: revisited and revised. Brain. 1 de agosto de 2000;123(8):1634-42.
[41.]
N. Chomsky.
Proceso contra Skinner.
Editorial Anagrama, (1975),
[42.]
Skinner BF. Conducta verbal. Trillas; 1981. 510 p.
[43.]
Luria AR, Louriâ AR. Language and Cognition. Wiley; 1981. 280 p.
[44.]
Wertsch JV, Wertsch P and CD of EJV. Vygotsky and the Social Formation of Mind. Harvard University Press; 1985. 288 p.
[45.]
Piaget J. The Language and Thought of the Child. Psychology Press; 2002. 328 p.
[46.]
A. Basso, G. Casati, L.A. Vignolo.
Phonemic identification defect in aphasia.
Cortex. marzo de, 13 (1977), pp. 85-95
[47.]
Kay J, Lesser R, Coltheart M. EPLA : evaluación del procesamiento lingüístico en la afasia [Internet]. Erlbaum (UK) Taylor & Francis; 1995 [citado 7 de noviembre de 2021]. Disponible en: https://digibuo.uniovi.es/dspace/handle/10651/54836
[48.]
D.J. Libon, R. Swenson, L. Ashendorf, R.M. Bauer, D. Bowers.
Edith Kaplan and the Boston Process Approach.
Clin Neuropsychol., 27 (2013), pp. 1223-1233
[49.]
K.B. Casaletto, R.K. Heaton.
Neuropsychological Assessment: Past and Future.
J Int Neuropsychol Soc., 23 (2017), pp. 778-790
[50.]
Diaz-Orueta U, Blanco-Campal A, Burke T. Process-based approach neuropsychological assessment: Review of the evidence and proposal for improvement of dementia screening tools. Revista de neurologia. 1 de junio de 2017;64:514-24.
[51.]
G. Hickok.
The functional neuroanatomy of language.
Physics of Life Reviews. septiembre de, 6 (2009), pp. 121-143
[52.]
E.F. Chang, K.P. Raygor, M.S. Berger.
Contemporary model of language organization: an overview for neurosurgeons.
J Neurosurg. febrero de, 122 (2015), pp. 250-261
[53.]
Wilson SM, Galantucci S, Tartaglia MC, Rising K, Patterson DK, Henry ML, et al. Syntactic processing depends on dorsal language tracts. Neuron. 20 de octubre de 2011;72(2):397-403.
[54.]
Berthier M, Froudist Walsh S, Dávila G, Nabrozidis A, Juarez y Ruiz de Mier R, Gutiérrez A, et al. Dissociated repetition deficits in aphasia can reflect flexible interactions between left dorsal and ventral streams and gender-dimorphic architecture of the right dorsal stream. Frontiers in Human Neuroscience. 2013;7:873.
[55.]
Berthier ML, Ralph M. Dissecting the function of networks underpinning language repetition. Frontiers in human neuroscience. 2 de octubre de 2014;8:727.
[56.]
Duffau H, Gatignol P, Moritz-Gasser S, Mandonnet E. Is the left uncinate fasciculus essential for language? J Neurol. 6 de marzo de 2009;256(3):382.
[57.]
H. Duffau, P. Gatignol, E. Mandonnet, P. Peruzzi, N. Tzourio-Mazoyer, L. Capelle.
New insights into the anatomo-functional connectivity of the semantic system: a study using cortico-subcortical electrostimulations.
Brain. abril de, 128 (2005), pp. 797-810
[58.]
Mesulam M-M, Rader BM, Sridhar J, Nelson MJ, Hyun J, Rademaker A, et al. Word comprehension in temporal cortex and Wernicke area: A PPA perspective. Neurology. 15 de enero de 2019;92(3):e224-33.
[59.]
M.-M. Mesulam, C. Wieneke, R. Hurley, A. Rademaker, C.K. Thompson, S. Weintraub, et al.
Words and objects at the tip of the left temporal lobe in primary progressive aphasia.
Brain. febrero de, 136 (2013), pp. 601-618
[60.]
Mishkin M, Ungerleider LG, Macko KA. Object vision and spatial vision: two cortical pathways. Trends in Neurosciences. 1 de enero de 1983;6:414-7.
[61.]
Ungerleider LG, Courtney SM, Haxby JV. A neural system for human visual working memory. Proc Natl Acad Sci U S A. 3 de febrero de 1998;95(3):883-90.
[62.]
Mellet E, Tzourio N, Denis M, Mazoyer B. Cortical anatomy of mental imagery of concrete nouns based on their dictionary definition. Neuroreport. 30 de marzo de 1998;9(5):803-8.
[63.]
Saur D, Kreher BW, Schnell S, Kümmerer D, Kellmeyer P, Vry M-S, et al. Ventral and dorsal pathways for language. Proc Natl Acad Sci U S A. 18 de noviembre de 2008;105(46):18035-40.
[64.]
Torres-Prioris MJ, López-Barroso D, Càmara E, Fittipaldi S, Sedeño L, Ibáñez A, et al. Neurocognitive signatures of phonemic sequencing in expert backward speakers. Sci Rep. 30 de junio de 2020;10(1):10621.
[65.]
Specht K, Huber W, Willmes K, Shah NJ, Jäncke L. Tracing the ventral stream for auditory speech processing in the temporal lobe by using a combined time series and independent component analysis. Neurosci Lett. 19 de septiembre de 2008;442(3):180-5.
[66.]
Perrone-Bertolotti M, Kauffmann L, Pichat C, Vidal JR, Baciu M. Effective Connectivity between Ventral Occipito-Temporal and Ventral Inferior Frontal Cortex during Lexico-Semantic Processing. A Dynamic Causal Modeling Study. Front Hum Neurosci. 2017;11:325.
[67.]
Häberling IS, Steinemann A, Corballis MC. Cerebral asymmetry for language: Comparing production with comprehension. Neuropsychologia. 8 de enero de 2016;80:17-23.
[68.]
Cotosck KR, Meltzer JA, Nucci MP, Lukasova K, Mansur LL, Amaro E. Engagement of Language and Domain General Networks during Word Monitoring in a Native and Unknown Language. Brain Sci. 13 de agosto de 2021;11(8):1063.
[69.]
E. Dittinger, S.A. Valizadeh, L. Jäncke, M. Besson, S. Elmer.
Increased functional connectivity in the ventral and dorsal streams during retrieval of novel words in professional musicians.
Hum Brain Mapp. febrero de, 39 (2018), pp. 722-734
[70.]
Y. Oganian, M. Conrad, A. Aryani, K. Spalek, H.R. Heekeren.
Activation Patterns throughout the Word Processing Network of L1-dominant Bilinguals Reflect Language Similarity and Language Decisions.
J Cogn Neurosci. noviembre de, 27 (2015), pp. 2197-2214
[71.]
Yang J, Li P. Mechanisms for Auditory Perception: A Neurocognitive Study of Second Language Learning of Mandarin Chinese. Brain Sci. 17 de junio de 2019;9(6):E139.
[72.]
Thothathiri M, Rattinger M. Ventral and dorsal streams for choosing word order during sentence production. Proc Natl Acad Sci U S A. 15 de diciembre de 2015;112(50):15456-61.
[73.]
Weiller C, Reisert M, Peto I, Hennig J, Makris N, Petrides M, et al. The ventral pathway of the human brain: A continuous association tract system. Neuroimage. 1 de julio de 2021;234:117977.
[74.]
Wong FCK, Chandrasekaran B, Garibaldi K, Wong PCM. White matter anisotropy in the ventral language pathway predicts sound-to-word learning success. J Neurosci. 15 de junio de 2011;31(24):8780-5.
[75.]
S. Elmer, J. Kühnis.
Functional Connectivity in the Left Dorsal Stream Facilitates Simultaneous Language Translation: An EEG Study.
Front Hum Neurosci., 10 (2016), pp. 60
[76.]
López-Barroso D, Ripollés P, Marco-Pallarés J, Mohammadi B, Münte TF, Bachoud-Lévi A-C, et al. Multiple brain networks underpinning word learning from fluent speech revealed by independent component analysis. Neuroimage. 15 de abril de 2015;110:182-93.
[77.]
K. Willmes, K. Moeller, E. Klein.
Where numbers meet words: a common ventral network for semantic classification.
Scand J Psychol. junio de, 55 (2014), pp. 202-211
[78.]
E. Edwards, S.S. Nagarajan, S.S. Dalal, R.T. Canolty, H.E. Kirsch, N.M. Barbaro, et al.
Spatiotemporal imaging of cortical activation during verb generation and picture naming.
Neuroimage. marzo de, 50 (2010), pp. 291-301
[79.]
R. Lindenberg, M. Uhlig, D. Scherfeld, G. Schlaug, R.J. Seitz.
Communication with emblematic gestures: shared and distinct neural correlates of expression and reception.
Hum Brain Mapp. abril de, 33 (2012), pp. 812-823
[80.]
M. Ostarek, F. Huettig.
A task-dependent causal role for low-level visual processes in spoken word comprehension.
J Exp Psychol Learn Mem Cogn. agosto de, 43 (2017), pp. 1215-1224
[81.]
K. Tylén, M. Wallentin, A. Roepstorff.
Say it with flowers! An fMRI study of object mediated communication.
Brain Lang. marzo de, 108 (2009), pp. 159-166
[82.]
C.M. Hamamé, F.-X. Alario, A. Llorens, C. Liégeois-Chauvel, Fonseca A. Trébuchon-Da.
High frequency gamma activity in the left hippocampus predicts visual object naming performance.
Brain Lang. agosto de, 135 (2014), pp. 104-114
[83.]
López-Barroso D, Catani M, Ripollés P, Dell’Acqua F, Rodríguez-Fornells A, de Diego-Balaguer R. Word learning is mediated by the left arcuate fasciculus. Proc Natl Acad Sci U S A. 6 de agosto de 2013;110(32):13168-73.
[84.]
Fujii M, Maesawa S, Ishiai S, Iwami K, Futamura M, Saito K. Neural Basis of Language: An Overview of An Evolving Model. Neurol Med Chir (Tokyo). 15 de julio de 2016;56(7):379-86.
[85.]
S.K. Ries, V. Piai, D. Perry, S. Griffin, K. Jordan, R. Henry, et al.
Roles of ventral versus dorsal pathways in language production: An awake language mapping study.
Brain Lang. abril de, 191 (2019), pp. 17-27
[86.]
E.H. Middlebrooks, K. Yagmurlu, J.P. Szaflarski, M. Rahman, B. Bozkurt.
A contemporary framework of language processing in the human brain in the context of preoperative and intraoperative language mapping.
Neuroradiology. enero de, 59 (2017), pp. 69-87
[87.]
Poologaindran A, Lowe SR, Sughrue ME. The cortical organization of language: distilling human connectome insights for supratentorial neurosurgery. J Neurosurg. 31 de julio de 2020;134(6):1959-66.
[88.]
A. Grappe, S.V. Sarma, P. Sacré, J. González-Martínez, C. Liégeois-Chauvel, F.-X. Alario.
An intracerebral exploration of functional connectivity during word production.
J Comput Neurosci. febrero de, 46 (2019), pp. 125-140
[89.]
A. Trébuchon, J.-F. Démonet, P. Chauvel, C. Liégeois-Chauvel.
Ventral and dorsal pathways of speech perception: an intracerebral ERP study.
Brain Lang. noviembre de, 127 (2013), pp. 273-283
[90.]
Nakae T, Matsumoto R, Kunieda T, Arakawa Y, Kobayashi K, Shimotake A, et al. Connectivity Gradient in the Human Left Inferior Frontal Gyrus: Intraoperative Cortico-Cortical Evoked Potential Study. Cereb Cortex. 30 de junio de 2020;30(8):4633-50.
[91.]
R. Enatsu, A. Kanno, S. Ookawa, S. Ochi, S. Ishiai, T. Nagamine, et al.
Distribution and Network of Basal Temporal Language Areas: A Study of the Combination of Electric Cortical Stimulation and Diffusion Tensor Imaging.
World Neurosurg. octubre de, 106 (2017), pp. 1-8
[92.]
E. Mandonnet, A. Nouet, P. Gatignol, L. Capelle, H. Duffau.
Does the left inferior longitudinal fasciculus play a role in language? A brain stimulation study.
Brain. marzo de, 130 (2007), pp. 623-629
[93.]
Guarracino I, Ius T, Baiano C, D’Agostini S, Skrap M, Tomasino B. Pre-Surgery Cognitive Performance and Voxel-Based Lesion-Symptom Mapping in Patients with Left High-Grade Glioma. Cancers (Basel). 23 de marzo de 2021;13(6):1467.
[94.]
H. Duffau, P. Gatignol, E. Mandonnet, P. Peruzzi, N. Tzourio-Mazoyer, L. Capelle.
New insights into the anatomo-functional connectivity of the semantic system: a study using cortico-subcortical electrostimulations.
Brain. abril de, 128 (2005), pp. 797-810
[95.]
R. Lopes, R.G. Nunes, M.R. Simões, M.F. Secca, A. Leal.
The Visual Word Form Area remains in the dominant hemisphere for language in late-onset left occipital lobe epilepsies: A postsurgery analysis of two cases.
Epilepsy Behav. mayo de, 46 (2015), pp. 91-98
[96.]
F. Almairac, G. Herbet, S. Moritz-Gasser, N.M. de Champfleur, H. Duffau.
The left inferior fronto-occipital fasciculus subserves language semantics: a multilevel lesion study.
Brain Struct Funct. julio de, 220 (2015), pp. 1983-1995
[97.]
S. Sarubbo, A. De Benedictis, S. Merler, E. Mandonnet, S. Balbi, E. Granieri, et al.
Towards a functional atlas of human white matter.
Hum Brain Mapp. agosto de, 36 (2015), pp. 3117-3136
[98.]
McKinnon ET, Fridriksson J, Basilakos A, Hickok G, Hillis AE, Spampinato MV, et al. Types of naming errors in chronic post-stroke aphasia are dissociated by dual stream axonal loss. Sci Rep. 25 de septiembre de 2018;8(1):14352.
[99.]
E.T. McKinnon, J. Fridriksson, G.R. Glenn, J.H. Jensen, J.A. Helpern, A. Basilakos, et al.
Structural plasticity of the ventral stream and aphasia recovery.
Ann Neurol. julio de, 82 (2017), pp. 147-151
[100.]
D. Kümmerer, G. Hartwigsen, P. Kellmeyer, V. Glauche, I. Mader, S. Klöppel, et al.
Damage to ventral and dorsal language pathways in acute aphasia.
Brain. febrero de, 136 (2013), pp. 619-629
[101.]
J. Zhang, X. Wei, S. Xie, Z. Zhou, D. Shang, R. Ji, et al.
Multifunctional Roles of the Ventral Stream in Language Models: Advanced Segmental Quantification in Post-Stroke Aphasic Patients.
Front Neurol., 9 (2018), pp. 89
[102.]
Efthymiopoulou E, Kasselimis DS, Ghika A, Kyrozis A, Peppas C, Evdokimidis I, et al. The effect of cortical and subcortical lesions on spontaneous expression of memory-encoded and emotionally infused information: Evidence for a role of the ventral stream. Neuropsychologia. 1 de julio de 2017;101:115-20.
[103.]
Hula WD, Panesar S, Gravier ML, Yeh F-C, Dresang HC, Dickey MW, et al. Structural white matter connectometry of word production in aphasia: an observational study. Brain. 1 de agosto de 2020;143(8):2532-44.
[104.]
Z. Keser, E.L. Meier, M.D. Stockbridge, A.E. Hillis.
The role of microstructural integrity of major language pathways in narrative speech in the first year after stroke.
J Stroke Cerebrovasc Dis. septiembre de, 29 (2020),
[105.]
M. Blom-Smink, M. Verly, K. Spielmann, M. Smits, G.M. Ribbers, M.W.M.E. van de Sandt-Koenderman.
Change in Right Inferior Longitudinal Fasciculus Integrity Is Associated With Naming Recovery in Subacute Poststroke Aphasia.
Neurorehabil Neural Repair. septiembre de, 34 (2020), pp. 784-794
[106.]
D.-B. den Ouden, S. Malyutina, A. Basilakos, L. Bonilha, E. Gleichgerrcht, G. Yourganov, et al.
Cortical and structural-connectivity damage correlated with impaired syntactic processing in aphasia.
Hum Brain Mapp. mayo de, 40 (2019), pp. 2153-2173
[107.]
S. Xing, A. Mandal, E.H. Lacey, L.M. Skipper-Kallal, J. Zeng, P.E. Turkeltaub.
Behavioral Effects of Chronic Gray and White Matter Stroke Lesions in a Functionally Defined Connectome for Naming.
Neurorehabil Neural Repair. junio de, 32 (2018), pp. 613-623
[108.]
N. Nozari, G.S. Dell.
How damaged brains repeat words: a computational approach.
Brain Lang. septiembre de, 126 (2013), pp. 327-337
[109.]
M.J. Torres-Prioris, D. López-Barroso, N. Roé-Vellvé, J. Paredes-Pacheco, G. Dávila, M.L. Berthier.
Repetitive verbal behaviors are not always harmful signs: Compensatory plasticity within the language network in aphasia.
Brain Lang. marzo de, 190 (2019), pp. 16-30
[110.]
C. Rogalsky, K. Raphel, V. Tomkovicz, L. O’Grady, H. Damasio, U. Bellugi, et al.
Neural Basis of Action Understanding: Evidence from Sign Language Aphasia.
Aphasiology., 27 (2013), pp. 1147-1158
[111.]
C. Zavanone, Y. Samson, C. Arbizu, S. Dupont, D. Dormont, C. Rosso.
Critical brain regions related to post-stroke aphasia severity identified by early diffusion imaging are not the same when predicting short- and long-term outcome.
Brain Lang. noviembre de, 186 (2018), pp. 1-7
[112.]
H. Robson, L. Cloutman, J.L. Keidel, K. Sage, M. Drakesmith, S. Welbourne.
Mismatch negativity (MMN) reveals inefficient auditory ventral stream function in chronic auditory comprehension impairments.
Cortex. octubre de, 59 (2014), pp. 113-125
[113.]
Liégeois FJ, Turner SJ, Mayes A, Bonthrone AF, Boys A, Smith L, et al. Dorsal language stream anomalies in an inherited speech disorder. Brain. 1 de abril de 2019;142(4):966-77.
[114.]
M. Verly, R. Gerrits, C. Sleurs, L. Lagae, S. Sunaert, I. Zink, et al.
The mis-wired language network in children with developmental language disorder: insights from DTI tractography.
Brain Imaging Behav. agosto de, 13 (2019), pp. 973-984
[115.]
Liebig J, Froehlich E, Sylvester T, Braun M, Heekeren HR, Ziegler JC, et al. Neural processing of vision and language in kindergarten is associated with prereading skills and predicts future literacy. Hum Brain Mapp. 1 de agosto de 2021;42(11):3517-33.
[116.]
R. Vydrova, V. Komarek, J. Sanda, K. Sterbova, A. Jahodova, A. Maulisova, et al.
Structural alterations of the language connectome in children with specific language impairment.
Brain Lang. diciembre de, 151 (2015), pp. 35-41
[117.]
R. Farah, R. Meri, D.S. Kadis, J. Hutton, T. DeWitt, T. Horowitz-Kraus.
Hyperconnectivity during screen-based stories listening is associated with lower narrative comprehension in preschool children exposed to screens vs dialogic reading: An EEG study.
PLoS One., 14 (2019),
[118.]
B. Piotrowska, A. Willis.
Beyond the global motion deficit hypothesis of developmental dyslexia: A cross-sectional study of visual, cognitive, and socio-economic factors influencing reading ability in children.
Vision Res. junio de, 159 (2019), pp. 48-60
[119.]
F. Rodriguez-Porcel, J. Wilmskoetter, C. Cooper, J.A. Taylor, J. Fridriksson, G. Hickok, et al.
The relationship between dorsal stream connections to the caudate and verbal fluency in Parkinson disease.
Brain Imaging Behav. agosto de, 15 (2021), pp. 2121-2125
[120.]
T. Blecher, S. Miron, G.G. Schneider, A. Achiron, M. Ben-Shachar.
Association Between White Matter Microstructure and Verbal Fluency in Patients With Multiple Sclerosis.
Front Psychol., 10 (2019), pp. 1607
[121.]
F. Agosta, S. Galantucci, E. Canu, S.F. Cappa, G. Magnani, M. Franceschi, et al.
Disruption of structural connectivity along the dorsal and ventral language pathways in patients with nonfluent and semantic variant primary progressive aphasia: a DT MRI study and a literature review.
Brain Lang. noviembre de, 127 (2013), pp. 157-166
[122.]
Y.-L. Chang, T.-F. Chen, W.-Y. Tseng.
White matter pathways underlying Chinese semantic and phonological fluency in mild cognitive impairment.
Neuropsychologia. diciembre de, 149 (2020),
[123.]
M.A. Arbib.
Towards a Computational Comparative Neuroprimatology: Framing the language-ready brain.
Phys Life Rev. marzo de, 16 (2016), pp. 1-54
[124.]
F. Aboitiz, R. García.
Merging of phonological and gestural circuits in early language evolution.
Rev Neurosci., 20 (2009), pp. 71-84
[125.]
T. Goucha, E. Zaccarella, A.D. Friederici.
A revival of Homo loquens as a builder of labeled structures: Neurocognitive considerations.
Neurosci Biobehav Rev. octubre de, 81 (2017), pp. 213-224
[126.]
Xia X, Gao F, Yuan Z. Species and individual differences and connectional asymmetry of Broca’s area in humans and macaques. Neuroimage. 1 de diciembre de 2021;244:118583.
[127.]
O. Poliva.
From Mimicry to Language: A Neuroanatomically Based Evolutionary Model of the Emergence of Vocal Language.
Front Neurosci., 10 (2016), pp. 307
[128.]
Palacios E, Clavijo-Prado C. Fascículo longitudinal inferior: una nueva mirada del lenguaje. Repert Med Cir. 1 de octubre de 2016;25(4):232-4.
[129.]
H. Axer, C.M. Klingner, A. Prescher.
Fiber anatomy of dorsal and ventral language streams.
Brain Lang. noviembre de, 127 (2013), pp. 192-204
[130.]
Grande D del R, López-Higes R. Redes funcionales que sustentan los procesos lingüísticos. En: Conectividad funcional y anatómica en el cerebro humano: análisis de señales y aplicaciones en ciencias de la salud, 2015, ISBN 978-84-9022-525-7, págs 127-140 [Internet]. 2015 [citado 7 de noviembre de 2021]. p. 127-40. Disponible en: https://dialnet.unirioja.es/servlet/articulo?codigo=5755640
[131.]
Lambon Ralph MA, Sage K, Jones RW, Mayberry EJ. Coherent concepts are computed in the anterior temporal lobes. Proc Natl Acad Sci U S A. 9 de febrero de 2010;107(6):2717-22.
[132.]
K. Patterson, P.J. Nestor, T.T. Rogers.
Where do you know what you know? The representation of semantic knowledge in the human brain.
Nat Rev Neurosci. diciembre de, 8 (2007), pp. 976-987
[133.]
Rogers TT, Lambon Ralph MA, Garrard P, Bozeat S, McClelland JL, Hodges JR, et al. Structure and deterioration of semantic memory: a neuropsychological and computational investigation. Psychol Rev. enero de 2004;111(1):205-35.
[134.]
Reich L, Szwed M, Cohen L, Amedi A. A ventral visual stream reading center independent of visual experience. Curr Biol. 8 de marzo de 2011;21(5):363-8.
[135.]
Unzueta-Arce J, García-García R, Ladera-Fernández V, Perea-Bartolomé MV, Mora-Simón S, Cacho-Gutiérrez J. Alteraciones en el procesamiento visual de formas: clasificación clínica integradora. Neurología. 1 de octubre de 2014;29(8):482-9.
[136.]
J.A. Matias-Guiu, J. Díaz-Álvarez, F. Cuetos, M.N. Cabrera-Martín, I. Segovia-Ríos, V. Pytel, et al.
Machine learning in the clinical and language characterisation of primary progressive aphasia variants.
Cortex. octubre de, 119 (2019), pp. 312-323
[137.]
Gorno-Tempini ML, Hillis AE, Weintraub S, Kertesz A, Mendez M, Cappa SF, et al. Classification of primary progressive aphasia and its variants. Neurology. 15 de marzo de 2011;76(11):1006-14.
[138.]
P. Hoffman, R.W. Jones, M.A.L. Ralph.
The degraded concept representation system in semantic dementia: damage to pan-modal hub, then visual spoke.
Brain. diciembre de, 135 (2012), pp. 3770-3780
[139.]
P. Garrard, J.R. Hodges.
Semantic dementia: clinical, radiological and pathological perspectives.
J Neurol. junio de, 247 (2000), pp. 409-422
[140.]
Landin-Romero R, Tan R, Hodges JR, Kumfor F. An update on semantic dementia: genetics, imaging, and pathology. Alzheimer’s Research & Therapy. 5 de diciembre de 2016;8(1):52.
[141.]
K. Czarnecki, J. Duffy, C.R. Nehl, S.A. Cross, C.R. Jack, M.M. Shiung, et al.
Very Early Semantic Dementia With Progressive LeftRight Temporal Lobe Atrophy: An Eight-Year Longitudinal Study.
Arch Neurol. diciembre de, 65 (2008), pp. 1659-1663
[142.]
Josephs KA, Whitwell JL, Vemuri P, Senjem ML, Boeve BF, Knopman DS, et al. The anatomic correlate of prosopagnosia in semantic dementia. Neurology. 11 de noviembre de 2008;71(20):1628-33.
[143.]
J.M. Murre.
Interaction of cortex and hippocampus in a model of amnesia and semantic dementia.
Rev Neurosci., 10 (1999), pp. 267-278
[144.]
D. Howard, H. Education, K. Patterson.
Pyramids and Palm Trees Manual. Harcourt.
Education, 25 (1992),
[145.]
Mahmoud SS, Kumar A, Li Y, Tang Y, Fang Q. Performance Evaluation of Machine Learning Frameworks for Aphasia Assessment. Sensors (Basel). 7 de abril de 2021;21(8):2582.
[146.]
Kristinsson S, Zhang W, Rorden C, Newman-Norlund R, Basilakos A, Bonilha L, et al. Machine learning-based multimodal prediction of language outcomes in chronic aphasia. Hum Brain Mapp. 15 de abril de 2021;42(6):1682-98.
[147.]
Visch-brink EG, Bajema IM, Sandt-Koenderman MEVD. Lexical semantic therapy: Box. Aphasiology. 1 de noviembre de 1997;11(11):1057-78.
[148.]
Herbert R, Best W, Hickin J, Howard D, Osborne F. Combining lexical and interactional approaches to therapy for word finding deficits in aphasia. Aphasiology. 1 de diciembre de 2003;17(12):1163-86.
[149.]
S. Kiran, G. Bassetto.
Evaluating the Effectiveness of Semantic-Based Treatment for Naming Deficits in Aphasia: What Works?.
Semin Speech Lang. febrero de, 29 (2008), pp. 71-82
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