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 Infectious Disease and Neurocognition
to ignore distractions and the discipline to suppress impulses occurs with the help of a node in the ventral temporal cortex (Sani et al., 2021). is node functionally diers from the surrounding cortical areas and does not turn to any specic visual feature. Importantly, it is directly connected to the known attentional areas of the parietal and prefrontal cortex of the human brain (T. Z. Luo & Maunsell, 2019; Sani et al., 2021) and is also considered as a place for the rst step of attention (T. Z. Luo & Maunsell, 2019). However, the selection takes place in the basal ganglia, and this subcortical selection process leads to modulations in the ring rate of neurons in the neocortex (Krauzlis et al., 2014).
Working memory
Previous brain structural studies in patients with TBM (Anderson et al., 2010; Chen et al., 2015; Garcia- Grimshaw et al., 2018) have shown the association between cog­nitive decits in multiple cognitive domains and decreased gray matter volume of cortical and deep nuclei structures. A recent study using resting functional MRI (Kong et al., 2022) demonstrated lower spontaneous neural activity, measured with amplitude low- frequency uctuation (ALFF) and fractional ALFF, in the frontal lobe, parietal lobe, middle occipital gyrus, and cerebellum, which related to lower cognitive functions in TBM patients compared to healthy controls. e decreased fractional ALFF in the opercular areas of the right inferior frontal gyrus (Brodmann area (BA)- 9, BA46) and right middle frontal gyrus (BA6), integral parts of the dor­solateral prefrontal cortex, may explain the decits in executive function, atten­tion, working memory, and information processing in TBM, as shown in the Trail Making Test- A (TMT- A), Verbal Fluency Test and Clock Drawing Test, and Symbol Digit Modalities Test, respectively. Aside from frontal lobes, the decreased fractional ALFF in the default mode network area, the le inferior parietal lobe (BA40), and right precuneus (BA7) in TBM patients associated with lower attention and memory in TBM patients on the TMT- A test than their counterparts (Kong et al., 2022). ese results were consistent with the ndings of Chen et al. (2015); furthermore, in this study, the reduced fractional ALFF in the le middle occipital gyrus, the visual processing center, may aect the synthesis of visual information, an important pro­cess of visual working memory (Wandell et al., 2007), ndings broadly consistent with those found by previous studies that found that cerebellar (Aroch et al., 2018), frontoparietal, prefrontal (Bolkan et al., 2017; Chein et al., 2011; Jimura et al., 2018; Kim et al., 2015; Moore et al., 2013; Osaka et al., 2003; Vartanian et al., 2013), and in­ferior frontal (Kim et al., 2015) regions are involved in working memory dysfunction.
Working memory is the storage of small amounts of information in an easily acces­sible form. It facilitates planning, comprehension, reasoning, and problem- solving (Cowan, 2014) and includes temporary storage and management of information for performing higher cognitive tasks (Marquand et al., 2008). It is oen associated with intelligence, information processing, executive functioning, comprehension, problem- solving, and learning (Cowan, 2014). Although working memory is oen perceived as short- term memory, it has a multicomponent system to manipulate
Tuberculous Meningitis 169
information storage for more signicant and complex cognitive utility. ere are three subcomponents of working memory: verbal working memory, visuospatial working memory, and the central executive, which involves the attentional control system.
Executive function
e dorsolateral prefrontal cortex and its subcortical circuit are responsible for ex­ecutive function. e decreased fractional ALFF in the opercular parts of the right inferior frontal gyrus and right middle frontal gyrus, suggesting the decreased spon­taneous neural activity in these important parts of the dorsolateral prefrontal cortex, was reported by the previously mentioned study (Kong et al., 2022). Ganaraja et al. (2021) in an attempt to study the inammatory eect on cognitive function in grade I TBM (Medical Research Council criteria in Fan & Posner, 2004) patients with normal MRI scans (excluding hydrocephalus, tuberculoma, and arteritis) found impairment in the domain of attention, executive function, working memory, and learning memory, suggestive of diuse cognitive involvement (Ganaraja et al., 2021). Decreased executive function was shown in reduced animal naming verbal uency and lower clock drawing tests, which suggest the involvement of frontal subcortical pathways connecting to various cortical regions (Chen et al., 2015). Interestingly, executive function as tested with verbal uency and clock drawing tests showed sig­nicant improvement within 1- year follow- up, as well as domains of attention and working memory but not with the verbal learning tests (Ganaraja et al., 2021).
Executive functions include control processes such as goal- oriented planning, reasoning, exible strategy generation, sustaining set maintenance, self- monitoring, and inhibition (Takeuchi et al., 2013). ey are primarily controlled by the frontal lobe, the dorsolateral aspect of prefrontal regions, and the prefrontal cortex (Ardila et al., 2018; Friedman & Robbins, 2022; Tomassini et al., 2022) as found in TBM pa­tients (Kong et al., 2022), the superior parietal lobules, the mesial aspect of the pre­motor area (supplementary motor area), and some subcortical areas as mentioned by Chen et al. (2015), particularly the putamen and the thalamus (Ardila et al., 2018).
Verbal skills
Speech diculties are frequently observed in people with brain infections. In a sys­tematic study, half of 41 studies from the past 45 years that discussed brain infec­tions with language impairments also mentioned diuse or focused bilateral damage to the frontal or temporal lobes’ cortical and subcortical regions. e lack of com­prehensive language test protocols, however, led to the likely underreporting of mild language impairments (Rofes et al., 2022). In these studies, it was stated that the le frontal and inferior parietal lobes had focal lesions causing speech impair­ment in TBM. e speech abnormalities included diculty naming objects and reading words (Booth & Curtis, 1893; Hindsdale, 1901). In addition, recent publi­cations described a TBM patient with lesions of the le parietal lobe, cerebellum, and arcuate fasciculus who had no diculties in comprehension or writing but was unable to repeat simple sentences and had occasional paraphasia in spontaneous
 Infectious Disease and Neurocognition
speech (Garcia- Grimshaw et al., 2018). For instance, a Japanese patient with TBM that had been veried by bacteriology complained of memory loss, low motivation, and speech problems. ere were no other meningitis- related symptoms. Brain im­aging showed substantial ventricular enlargement (Dev et al., 2019; Kobayashi et al.,
2015). In addition, the verbal comprehension index includes verbal skills and verbal uency, such as the ability to understand, the employment of verbal reasoning, and the comprehension of verbal knowledge, which are impaired in TBM patients (Bates et al., 2003; Chen et al., 2015; Quinn et al., 2021). ose abnormalities correlated to the smaller gray matter volume of the right thalamus, right superior temporal gyrus (Wernicke’s area) (Bates et al., 2003; Chen et al., 2015), right precuneus, le putamen, and right caudate nucleus. Moreover, TBM severity during acute illness correlated with smaller gray matter volume in the right caudate nucleus (Chen et al., 2015).
Pathogenesis of neurocognitive impairments associated with tuberculous meningitis
Indirect consequences of TBM include uid retention (hydrocephalus), cerebral oe­dema, or an inammatory reaction in the brain tissue that results in diuse cor­tical or subcortical processes that can result in neurocognitive problems (Chen et al., 2015; Kirmi et al., 2009). Additionally, the infectious agent of TBM, Mycobacterium tuberculosis, can attack and infect neurons directly. Neurons can phagocytose bac­teria but to a lesser extent than do microglia and astrocytes (Randall et al., 2014). e neuronal infection aects function and the intercellular interactions during host im­mune responses (Davis et al., 2019b). As reported in studies of Alzheimer’s disease, TBM inammation- induced disruption of the blood– brain barrier causes and fur­ther induces a variety of tissue damage leading to synaptic and neuronal dysfunction and cognitive decits (Barisano et al., 2022). Other possible pathologies underlining the cognitive impairment in TBM are focal and discrete structural abnormalities in the brain, including vasculopathy leading to brain ischemia or tuberculomas (Chen et al., 2015; Davis et al., 2023; Wasay et al., 2018). Numerous studies have shown that the immune and neurological systems interact and that maintaining a healthy im­mune system is essential for sustaining cognitive function (Marin & Kipnis, 2013; Yirmiya & Goshen, 2011). Microglia and astrocytes in particular communicate with peripheral immune cell, such as T cells and macrophages, which play an important role in infectious illness (Yirmiya & Goshen, 2011). Glia and other brain immune cells alter their morphology and function when the immune system is severely en­gaged by infection, damage, and extremely stressful situations and secrete high levels of proinammatory cytokines, prostaglandins, and excitatory neurotrans­mitters, including glutamate (Rohlwink et al., 2019). ese inammatory mediators disrupt the delicate balance needed for the neurophysiological actions of immune processes, causing neuro- excitotoxicity and producing direct detrimental eects on memory, neural plasticity, and neurogenesis (Yirmiya & Goshen, 2011). Numerous
Tuberculous Meningitis 171
infectious pathogens have been identied as potential initiators of neurodegenera­tive illnesses, particularly Alzheimer’s disease. In addition to an indirect impact by infectious pathogens, this appears to be caused at least in part by microglia activa­tion, long- acting inammation, neuronal change, oxidative stress, and amyloid- beta accumulation (Marin & Kipnis, 2013; Stroolini et al., 2021; Williamson et al., 2011). Compared to Alzheimer’s disease or syphilis patients, cerebrospinal uid (CSF) from non- HIV TBM patients had relatively little amyloid deposition (amyloid- beta 1- 42) (Stroolini et al., 2021), which is one of the early pathological indicators of de­mentia, such as Alzheimer’s disease (Hampel et al., 2021; Murphy & Levine, 2010).
e characteristic feature of TBM in postmortem studies is the presence of a thick, gelatinous inammatory exudate in the basal cisterns and subarachnoid spaces of the brain, which may extend into the spinal canal. ese locations in the brain, primarily basal, have important ramications, such as the major cerebral vessels becoming encased in exudate, as seen in their small perforators. e middle cere­bral artery and its perforators around the ventricle oor are commonly involved. Vascular pathology from TBM includes an inammatory inltrate from the adven­titia of arteries and veins inward, resulting in a peri- arteritis— or pan- arteritis— that involves a segment or the entire thickness of the vascular wall tissue. e evolution of vascular inammation may involve thickening of the vessel intima resulting in vessel stenosis or occlusion. Furthermore, vasospasm is also an important contrib­utor to brain ischemia (Davis et al., 2019b; Rock et al., 2008).
e expansion of exudate material into the basal cisterns causes an accumulation of exudate around the midbrain and a blockage in CSF ow around the upper brain­stem, which prevents the circulation of CSF. A build- up of exudate may also obstruct CSF ow through the ventricular system around the cerebral aqueduct of the third and fourth ventricles (Davis et al., 2019b). Fiy- six to 80 percent of TBM patients ex­perience hydrocephalus (Dian et al., 2020; Misra et al., 2010). Gray and white matter may be adversely aected by the pressure of brain oedema brought on by pathologic processes, which can result in pallor and diuse myelin loss. Increased intracranial pressure has the potential to seriously impair cerebral blood ow.
Neurocognitive testing in patients with tuberculous meningitis
Detailed characterization of neurocognitive decits is essential for post- hospital prognostication and neurorestorative program planning for patients with TBM. However, the lack of observational studies and dierent assessment tools used in var­ious research has led to a need for more appropriate rehabilitative therapies to be avail­able for these patients and their caregivers. Several cognitive tests ranging from brief screening tools to comprehensive neuropsychological batteries and domain- specic tests have been used. e selection of an instrument depends on the time availability and feasibility. e Mini- Mental State Examination (MMSE) (Folstein et al., 1975) is
 Infectious Disease and Neurocognition
a straightforward bedside screening tool for dementia that has been used in patients with cognitive impairment aer TBM (Kalita et al., 2007; Ranjan et al., 2003). In the above- cited studies, a cuto of 22– 29 was used to determine global cognitive impair­ment aer TBM, depending on education. However, the MMSE is less sensitive to detecting mild cognitive impairment and misses executive evaluation. Nevertheless, MMSE scores at baseline have sensitivities of 23–76 percent and specicities of 40– 94 percent in predicting dementia in general (Arevalo- Rodriguez et al., 2015).
e Montreal Cognitive Assessment (MoCA), alternatively, is a diagnostic tool initially designed to detect mild cognitive impairment mainly in executive func­tion, attention and concentration, and memory (Nasreddine et al., 2005). It has been used to evaluate cognitive function in aseptic meningitis and has been validated for neurological diseases, injuries (Ørum et al., 2021), and HIV- infected popula­tions (Robbins et al., 2013). is tool has been validated in other countries outside Canada, where it was developed, including Indonesia (Husein et al., 2010), Japan (Fujiwara et al., 2010), Egypt (Rahman & El Gaafary, 2009), and Korea (Lee et al.,
2008). However, considering its brevity, the MoCA may be helpful in the earlier course of the disease to predict the outcome of TBM. One study reported that the MoCA score at 5– 9 days aer stroke was independently associated with dementia at 6– 9 months (Salvadori et al., 2013).
A traditional pen- and- paper comprehensive neuropsychological battery is con­sidered a gold standard for the detection of cognitive impairments. However, it is time- consuming, and the administration and interpretation of these measurements require specialist training and are only sometimes available, especially in low- and medium- income countries, the population where TBM predominates (Davis et al., 2019a). Recently developed computer- based measurements provide an alterna­tive to traditional neurocognitive testing methods. ey are technically more ob­jective, precise, time and cost- eective, and more readily available in low- and middle- income countries than the conventional methods (Davis et al., 2019a). eir administration is standardized and unaected by examiner bias, and they can oen be performed by personnel with limited training in neuropsychological assessment, such as nurses and healthcare workers (Zygouris & Tsolaki, 2015). Tests can oen be tailored to a candidate’s prociency to cover a wide range of cognitive abilities and to minimize oor and ceiling eects (Wild et al., 2008). ere are at least 17 test batteries that have been reviewed for older adults and grouped into three main pur­poses, including evaluation, screening, and very brief short- screening instruments. On average it took 10– 60 minutes to test, mainly to assess memory, attention, and reaction time (motor speed) (Zygouris & Tsolaki, 2015). e Cognitive Assessment Tool— rapid version (CAT- rapid) has been shown to be accurate for screening HIV­associated dementia (Joska et al., 2016). However, to date, digital batteries have not been able to replace the gold standard of neuropsychological testing in screening for HIV- associated neurocognitive disorder (Wilson et al., 2021), and there has yet been a report for TBM patients. e summary of the neuropsychological tests that have been used for TBM cases is depicted in Table 12.1.
Tuberculous Meningitis 173
Table 12.1 Neuropsychological tests for adult tuberculous meningitis
Authors, year Methods Neuropsychological
tests
Davis et al., 2022
Chen et al., 2015
Case– control
Cohort Chinese version of
Grooved Pegboard and Finger Tapping test
Hopkins Verbal Learning Test
Brief Visuospatial Learning Test— Revised
WAIS- III digit span Attention
Color Trails II Executive
Category Word Fluency
WAIS- III and Color Trails I
WAIS- III
Subtest Domain Time
point, month
Motor 6– 12
Audioverbal learning and memory
Visuospatial learning and memory
function
Fluency
Digit span, symbol search
Block design, picture completion, matrix reasoning, vocabulary, similarities, information, digit span, arithmetic, letter– number sequence subtests
Processing speed
POI, VCI, WMI, PSI
Chronic TBM
Garcia­Grimshaw et al., 2018
Kobayashi et al., 2015
Shankaragouda et al., 2013
Case report Not mentioned Repetition,
paraphasias, episodes of self- correction, uency, comprehension, nomination, writing, reading
Case report Not mentioned Memor y Memory Hospital
Case report Not mentioned Memor y Memory Hospital
Verbal skills Hospital
admission
admission
admission
(continued)
  Infectious Disease and Neurocognition
Table 12.1 Continued
Authors, year Methods Neuropsychological
s
Quinn et al., 2021
Cohort Validated PHQ- 9 2 & 6
tests
WHO- UCLA AVLT To t a l Verbal learning
Digit Span and Backward Digit Span
Semantic Verbal Fluency
Symbol Digit Modality
Color Trails I Speed of
Subtest Domain Time
point, month
Delayed Recall Verbal
memory
Attention, WMI
Language uency
Speed of information processing, concentration
information processing, Attention
II Executive
function
Ganaraja et al., 2021
Timed Gait Gross motor
Grooved Pegboard Fine motor
Finger tapping Motor speed
Cohort Color Trails I & II Sustained
attention
Animal Naming Te st
WMS- III IND Digit span Verbal working
Spatial span Visual working
Rey’s Auditory Verbal Learning Test
Category uency
memory
memory
Verbal learning and memory
2 weeks & 12
(continued)
Table 12.1 Continued
Tuberculous Meningitis 175
Authors, year Methods Neuropsychological
tests
Complex Figure Te st
Clock Drawing Test Executive
Hindsdale, 1901
Booth & Curtis, 1893
Anderson et al. 2010
Abbreviations: AVLT, Auditory verbal learning test; BVMT- R, Brief Visual Memory Test- Revised; CFT, Complex Figure Test; PHQ 9, Patient Health Questionnaire 9; POI, perceptual organization; PSI, processing speed; TBM, tuberculous meningitis; VCI, verbal comprehension; WAIS- III, Wechsler Adult Intelligence Scale (ird edition); WHO- UCLA AVLT, World Health Organization– University of California- Los Angeles Auditory verbal learning test; WMI, Working Memory Index.; WMS- III IND, Wechsler Memory Scale- III edition, India (WMS- III INDIA).
Case report Not mentioned Speech,
Case report Not mentioned Spontaneous
Retrospective Not mentioned Not mentioned General
Subtest Domain Time
point, month
Visual learning and memory
function
Verbal skills Hospital comprehension, reading, identifying everyday object, paraphasia, spelling
Verbal skills Not speech
cognitive
admission, 3 weeks
mentioned
Median 18 (1– 197)
Management
Timely diagnosis of TBM, eective treatment in the acute phase of TBM, and ame­lioration of critical conditions as early as possible are the keys to improving survival and reducing sequelae in patients with TBM (Daniela et al., 2020; Davis et al., 2018; Huo et al., 2019).
e British Infection Society advises oral anti- TB medication for TBM for at least a year as the cornerstone of treatment for the disease (Daniela et al., 2020; waites et al., 2009). Anti- inammatory properties of dexamethasone on the cortex and re­lated arteries may play a part in lowering brain oedema in the acute phase of TBM and improving cognitive function. In an observational study, supplementary intra­venous dexamethasone demonstrated improvement by reducing hydrocephalus and preventing infarction, the core mechanism of cognitive impairment in TBM (Prasad et al., 2016; waites et al., 2007). e use of the combination of anti- TB treatment and dexamethasone in TBM was supported by a recent meta- analysis showing the treatment’s eectiveness and improved CSF parameters (cell count, protein content, glucose, and chloride levels) (Wang et al., 2022). Further research on how dexameth­asone aects the frequency and seriousness of cognitive impairment is therefore necessary. Several exercises and mobilization therapy as part of occupational and
 Infectious Disease and Neurocognition
physical treatments should be provided in the acute period of TBM since early re­habilitation aects functional outcomes in critically ill patients (Schweickert et al.,
2009). As previously indicated, a thorough assessment of neurocognitive impair­ment is essential for more specialized rehabilitation techniques to hasten the re­covery from deciencies in memory, executive function, and mental processing speed. For TBM, there is currently no specic strategy to treat cognitive impair­ment. Given the high prevalence of motor impairments, depression, and cognitive decits in TBM, the commonly used stroke rehabilitation methods may be bene­cial (Ganaraja et al., 2021; Quinn et al., 2021; Wasay et al., 2018). Tele- rehabilitation, including home- based exercises such as resistance, endurance, and balance training, has yielded gains in cognition and motor ability in post- Covid- 19 infection patients (Rolin et al., 2022) and could be tried for TBM patients, mainly for those who have no motor decits. Rehabilitation may be cost- eective since the population of those aected with TBM (mean age 35 years) is in the most economically active period of life (Quinn et al., 2021).
Conclusion
Cognitive impairment is not uncommon in long- term follow- up of TBM. e highest prevalence of cognitive decits in TBM is found in attention, executive func­tion, verbal function, and working memory, which largely result from a diuse in­ammation process that mainly occurs in the parameningeal area or paraventricular areas, or the TB zone. However, there is still limited investigation of clinical and sci­entic research into cognitive impairment in TBM. Further work is now needed to evaluate the best assessment batteries, medical treatment, and cognitive rehabilita­tion for individual needs and symptoms among TBM patients.
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