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 Infectious Disease and Neurocognition
RCT studies for these interventions is strong enough to warrant the evaluation of CCRT for at- risk African children (Bangirana et al., 2006; Boivin & Giordani, 2009). CCRT could also then be extended to a variety of other infectious diseases causing brain injury and persisting neurocognitive decits to children in this setting (e.g., human immunodeciency virus, schistosomiasis, meningitis, encephalitis, and neurocysticercosis).
Participants in their subsequent RCT study with Ugandan complicated ma­laria survivors as preschoolers were well characterized from a prior prospective case– control cohort observational study (Bangirana et al., 2014, 2016). Following acute illness and hospitalization from either SMA or CM, they were longitudinally evaluated for at least a 2- year period for persisting short- and long- term cognitive and psychiatric sequelae, until reaching school age. is allowed the researchers to document the cognitive and psychiatric areas in which most improvement could potentially occur following CCRT intervention. e initial immunopathogenic as­sessment of the children during and following acute illness from either SMA or CM also allowed identication of the immunologic responses that are associated with cognitive or psychiatric therapeutic need and potential benet from CCRT years later at school age (John et al., 2006, 2008b, 2008c). A better understanding of the immunopathogenic processes during and following acute illness in SMA and CM survivors could lay the groundwork for complementary pharmacologic and behav­ioral/ rehabilitation (e.g., CCRT) interventions to prevent or decrease cognitive and psychiatric impairment following malaria (Figure 1 in Boivin et al., 2019a). is is because CCRT provides a method for focused rehabilitation of specic decit areas (e.g., attention, working memory) that we and others have already identied in se­vere malaria (Holding & Boivin, 2013; Idro et al., 2010b).
In an RCT of the benets of CCRT for Ugandan children surviving SMA or CM in early childhood, 150 school- age SMA/ CM survivors (cases) and 150 non- malaria children (controls) from the same households were randomized to three treatment arms: 24 sessions of CCRT customized to improve attention, working memory, and nonverbal reasoning in which the diculty of the training increased with im­proved prociency (adaptive training); a limited CCRT arm that did not titrate to prociency but randomly cycled across the simplest to moderate level of training (non- adaptive training); or an arm for the cases and controls that consisted of a pas­sive control arm with no computerized training. Malaria children assigned to the limited- CCRT intervention arm were signicantly better than passive controls on overall cognitive performance on the Kaufman Assessment Battery for Children (KABC), as well as on other neurocognitive tests of computerized attention (Tests of Variables of Attention (TOVA); https:// www.tovat est.com/ ) and neuropsycho­logical performance screening (Cogstate; https:// www.cogst ate.com/ ) (Figure 13.1). ese improvements were largely driven by working memory gains and gains in reasoning and planning. Follow- up assessment with the Cogstate computerized screening test for neuropsychological performance also documented improvements in attention and on a maze learning task. ese neurocognitive improvements were
Cerebral Malaria 189
more dramatic for the malaria survivors (both SMA and CM) than for their con­trol counterparts, and the neurocognitive training gains tended to persist better at 1- year post- training follow- up for the CCRT non- titration arm, especially for the more adversely aected malaria survivors (the CM group) (Boivin et al., 2019a; Veretennikova et al., 2018).
In a subsequent secondary analysis of their CCRT RCT ndings, the study team did document that titrated CCRT training resulted in more ecient and steeper gains in neurocognitive performance, as measured internally by the computer training games themselves (Larrivey et al., 2022). However, both intervention arms (adap­tive and non- adaptive CCRT) did show signicant benet, as did both the severe malaria and non- malaria cohorts. Furthermore, contrary to what was hypothesized, study children benetted from the CCRT intervention irrespective of the severity of neurocognitive impairment in the aermath of the acute illness. eir study partici­pants’ socioeconomic status (urban versus rural) or degree of prior experience with computers in school or home also did not seem to mitigate CCRT neurocognitive benet. ese ndings are important because they support the application of this sort of rehabilitative intervention across a broad spectrum of brain- injured children in the aermath of infectious disease or trauma, even in resource- constrained or im­poverished settings.
Neurological sequalae from cerebral malaria and neurocognitive function
Children are at risk for signicant cognitive sequelae from severe malaria, especially if complex seizures are poorly managed during the acute illness phase and give rise to recurring seizures and status epilepticus in the months and years following re­covery (Birbeck et al., 2010; Opoka et al., 2009). e relationship between seizures from CM and impaired working memory sequelae was established early in the eval­uation of CM surviving school- age children in Kili, Kenya (Abubakar et al., 2007; Kihara et al., 2009). In examining the degree of impairment of executive function in Kenyan children exposed to SMA and CM, Kariuki et al. (2014) observed that persisting complex seizures especially in CM survivors were related to reasoning/ planning problems (executive functioning decits). ey concluded that eective prophylaxis and management of malaria- associated acute seizures may improve ex­ecutive functioning performance scores of children (Kariuki et al., 2012, 2014).
Unfortunately, early attempts to prophylactically diminish seizures during the acute phase of CM in Kenyan children with phenobarbital increased mortality and did not result in long- term neurocognitive benet (Abubakar et al., 2007). is is likely because of the role of brain inammation and accompanying brainstem herni­ation in acute CM that may disrupt cranial nerve pathways important for respiratory and other vital functions. is has been documented in magnetic resonance imaging studies with Malawian children during the acute phase of CM (Kampondeni et al.,
 Infectious Disease and Neurocognition
2018, 2020; Seydel et al., 2015). is same study team went on to document that the degree of brain inammation and brainstem herniation might be predictive of the degree of long- term neurocognitive impairment in surviving Malawian CM chil­dren (Brim et al., 2017). is is perhaps due to the role that proinammatory medi­ators, coupled with localized oxidative stress factors induced by free heme derived from hemolysis of infected erythrocytes, have on consequent axonal damage and demyelination, particularly in the white matter pathways of the brain (Monteiro et al., 2014). Remarkably these factors cross the blood– brain barrier to reach brain parenchyma and other brain neurons— observed as petechial hemorrhaging at postmortem. Given the lack of proven adjuvant therapies during the acute phase of CM illness in reducing mortality and morbidity (Schiess et al., 2020), the role of neurocognitive and behavioral rehabilitation in the aermath of CM and SMA be­comes all the more critical in enabling surviving children to achieve a better quality of life and functionality. e evidence provided by the application of CCRT training by our group provides a hopeful avenue for improving working memory, behavior, executive functioning, and other cognitive domains most at risk following severe malaria (Bangirana et al., 2009a, 2011, 2013a; Boivin & Giordani, 2009; Boivin et al., 2019a).
In prospective longitudinal studies, our Ugandan study team has demonstrated an association between cognition and academic performance in children surviving ma­laria with neurological involvement (Bangirana et al., 2013b). ese outcomes from complicated malaria exposure in early childhood seem to be modied in part by the severity of anemia that accompanies the acute illness phase (Boivin et al., 2016) and can persist aerwards in the form of early developmental delays unless the risk fac­tors for chronic anemia are eectively treated (Boivin & Giordani, 1993; Boivin et al., 1993; Mireku et al., 2016). Furthermore, these neurodevelopmental delays from anemia and neurocognitive decits in the aermath of CM are correlated with aca­demic abilities as the child reaches school age (Bangirana et al., 2013b). Given that processing speed, perceptual organizational ability, vigilance attention, planning and reasoning, working memory, and behavioral processes such as emotional reg­ulation and behavioral inhibition are signicantly correlated with academic perfor­mance (Nesayan et al., 2019), CCRT should benet academic performance in severe malaria survivors if the intervention improves these neurocognitive abilities.
Neuropsychological rehabilitation and school performance in cerebral malaria survivors
Our Ugandan CCRT research team did a follow- up study of our SMA/ CM case– control study cohorts to evaluate the academic skills benets of cognitive training intervention for children participating in our RCT study (Boivin et al., 2019a). In evaluating the cognitive burden of severe malaria in the Ugandan classroom and the eects of a computerized intervention, Miller and colleagues evaluated 216 school
Cerebral Malaria 191
reports from 300 Ugandan school- age children participating in our RCT study. At baseline, malaria had no eect on academic performance, but age and socioeco­nomic status had some eect. At 1 year following completion of CCRT, there was no eect of the intervention on academic change from study baseline to 1- year follow­up (Miller et al., 2022). However, factors such as sex and home environment did demonstrate some eect on school performance, as would be expected (Bangirana et al., 2009b).
Contrary to early ndings by Bangirana and colleagues using the Wide Range Achievement Test (WRAT) to gauge academic skills including spelling, reading, and arithmetic (Bangirana et al., 2011), Miller et al. (2022) did not observe that survivors of SMA/ CM would demonstrate lower school performance than healthy compari­sons. ey also did not observe that CCRT intervention would improve the academic performance of survivors in classroom, as opposed to performance on achievement tests such as the WRAT. is suggests that future interventions ought to consider the inuence of age, sex, and socioeconomic status when caring for the cognitive needs of children in the aermath of CM/ SMA if we hope to signicantly enhance their ability to achieve academic success and, thus, improve quality of life in the long term.
Psychiatric eects of cerebral malaria
Boivin and colleagues documented neurocognitive decits in retinopathy- positive CM school- age survivors in Malawi (Boivin et al., 2011, 2014) using the same neuro­psychological tests as were used in their prospective studies in Uganda (Boivin et al., 2007; John et al., 2008a) and in a retrospective study with Senegalese CM survivors (Boivin, 2002). In fact, severity of retinopathy parallels the degree of parasite seques­tration in the eyes and brains of Malawian children with fatal CM (Barrera et al., 2015, 2018; MacCormick et al., 2014). Because of numerous reports by parents of these children of serious persisting psychosocial and behavioral problems occurring following recovery from the CM illness in this cohort of Malawian acute phase retinopathy- positive children, Boivin and colleagues performed a follow- up psychi­atric evaluation of a subgroup of those children. ey focused on children from their retinopathy- positive CM cohort who were referred to their study center for follow­up evaluation because of persisting and signicant behavioral problems.
Birbeck and colleagues had reported from a comprehensive neurological evalu­ation of our cohort of retinopathy- positive CM survivors that 11 percent of chil­dren presented with signicant persisting behavioral problems aer the acute illness (Birbeck et al., 2010). However, no psychiatric screening tool for children has been validated in Malawi. In our follow- up study, we were able to evaluate the predictive sensitivity of the Achenbach Child Behavior Checklist (CBCL) (Boivin et al., 2011,
2014) to a Diagnostic and Statistical Manual Mental Disorders, fourth edition (DSM- IV) (American Psychiatric Association, 1994) clinical diagnosis in children referred for psychiatric evaluation because of persisting behavior problems (Magen et al.,
 Infectious Disease and Neurocognition
2011). Children referred for psychiatric clinical evaluation had already been as­sessed with the CBCL (given to their caregivers) as part of a larger study of exposure– control cohorts documenting the neurodisabilities associated with CM. Twenty- one CM survivors and ten control children (20 boys, 11 girls) ranging in age from 5 to 18 years (average 10 years) were referred for DSM- IV clinical evaluation because of persisting behavior problems following CM illness or study enrollment. Fieen of the 31 children (48 percent) had a DSM- IV axis 1 diagnosis of ADHD, and 15 of the 31 had a diagnosis of oppositional deant disorder (ODD). Nine of the 15 were diagnosed with both. Most of the ADHD children (12/ 15 or 80 percent) were refer­rals from the CM group. Nine of the 15 (60 percent) ADHD children were boys, as were 11 of 15 (73 percent) of children with ODD (73 percent). e CBCL Attention Problems scale was signicantly predictive of DSM diagnosis for ADHD (p = 0.02, odds ratio: 1.57, 95 percent condence interval: 1.07– 2.28) in a logistic regression model adjusted for the CBCL ODD scale, age, sex, quality of home environment, and nutritional well- being (proportion of mid- upper- arm circumference to height).
In a similar analysis with DSM- IV ODD as the outcome, the CBCL Rule Breaking scale (but not the CBCL ODD measures) was signicantly predictive of ODD clin­ical diagnosis (p = 0.033). We concluded from these ndings that children referred for behavioral problems in a study of developmental neurodisabilities from CM were most oen diagnosed with ADHD or ODD, or both. Even when given 1– 2 years before the DSM- IV clinical evaluation, the CBCL had good predictive validity as a screening measure for ADHD. e Rule Breaking CBCL scale was sensitive to ODD. Magen and colleagues concluded that the Achenbach CBCL was eective as a pedi­atric psychiatric screening measure in our Malawian study setting for CM survivors (Magen et al., 2011).
Idro and colleagues also documented psychiatric diculties for Ugandan children surviving CM (Idro et al., 2010a). Subsequent evaluations with other Ugandan co­horts of CM and SMA survivors revealed persisting behavioral problems like those we documented in our Malawian cohorts, namely ODD and ADHD (Idro et al.,
2016), as well as problems related to poor psychosocial adjustment, aggression, self­injurious behavior, impulsivity, and rule- breaking tendencies (Ssenkusu et al., 2016). Akpalu et al. (2012) provided further evidence in support of an association between severe malaria and mental disorders in school- age sub- Saharan African children in the form of a systematic review (Akpalu et al., 2012). In their review, eight studies met criteria for inclusion, including four (50 percent) from Kenya, three (37.5 per­cent) from Uganda, and one (12.5 percent) from Senegal. e authors concluded that Plasmodium falciparum malaria is associated with mental disorders and that follow- up evaluation and care should be made available for these vulnerabilities in survivors of severe malaria.
Given the relationship between severe malaria and mental health needs for school­age CM survivors, might CCRT be of benet for psychosocial problems? In our pilot studies of CCRT with CM survivors, we reported that CBCL internalizing symp­toms (e.g., anxiety, depression, and somatic complaints) were signicantly reduced
Cerebral Malaria 193
following training (Bangirana et al., 2009a). We therefore evaluated internalizing and externalizing symptoms using the CBCL in our CCRT RCT study (Bangirana et al., 2009c). In addition to the CBCL, we also used the Behavior Rating Inventory for Executive Function (BRIEF) (Gioia et al., 2003). In earlier assessments with CM school survivors, we documented that the CBCL externalizing symptoms corres­ponded to the BRIEF Behavior Regulation Index for measuring behavior problems (Familiar et al., 2015). We believed that both the CBCL and the BRIEF could pro­vide complementary screening assessments from caregiver reports for their child to better understand the potential behavioral benets of CCRT in addition to the neurocognitive rehabilitative benets (Boivin et al., 2019a). At 1 year aer training, the limited CCRT malaria children had more rapid Cogstate card detection (atten­tion) (p = 0.02) and improved BRIEF Global Executive Index, representing all BRIEF clinical scales (p = 0.01) as compared to passive controls. For the CBCL, there were no signicant dierences in psychiatric symptoms as reported by the child’s primary caregiver between the CCRT and passive control intervention arms either for the se­vere malaria or non- malaria cohorts.
Caregiver training to prevent mental health problems in children surviving cerebral malaria
Bangirana et al. (2021) published the rst caregiver training intervention to ad­dress psychiatric problems in CM survivors. e Creating Opportunities for Parent Empowerment (COPE) program was adapted to this group to provide educational and behavioral caregiver training intervention to equip parents with psychiatric problems for their preschool- age children following recovery from acute CM ill­ness. Phase I was delivered within 6– 16 hours of hospital admission and consisted of information pertaining to their child’s possible emotional reactions from hospital admission. e emphasis was on information for the parents that could facilitate their child’s coping responses to hospitalization. Phase II was implemented fol­lowing transfer from acute care to the general ward and consisted of parent– child skills- building activities that included using dolls in role playing to better express and manage emotions, along with stories and games. Phase III involved a telephone call with the parents several days aer discharge when a 5- minute script was read that reinforced parenting behaviors to facilitate more positive emotional outcomes for post- discharge emotional and behavioral problems on the part of the child.
Compared to parent– child dyads randomized to the control arm of this RCT at 6- month post- discharge follow- up, the COPE behavioral intervention arm did not show any signicant benet on CBCL or Strengths and Diculties Questionnaire (SDQ) caregiver report outcomes. Likewise, caregiver anxiety and depression were similar for the two groups. However, caregiver depression and anxiety at hospital ad­mission (enrollment) prior to treatment- arm randomization were signicantly re­lated to presence of diarrhea and behavior problems reported for the child. In their
 Infectious Disease and Neurocognition
nal analysis, the authors concluded that only caregiver depression, education level, and the child’s sex (more CBCL internalizing problems for the girls) were associated with reported mental health problems at hospital admission. For future work in this area, the authors suggested a longer period of follow- up for the CM survivors and their caregivers, along with a more in- depth caregiver training intervention. We also recommend the importance of gauging the delity of intervention for such caregiver training studies, as illustrated by Boivin and colleagues’ previous early childhood de­velopment work with Ugandan children living with HIV (Boivin et al., 2013a, 2013b).
Electroencephalographic clinical biomarkers of pathogenesis and cerebral malaria neurocognitive deficits
Ugandan children enrolled in the CCRT RCT study reported by Boivin and col­leagues (Boivin et al., 2019a) had been previously enrolled in a prospective study of the neurodevelopmental eects of CM and SMA during the acute phase of their illness (Bangirana et al., 2014, 2016). ese children were evaluated with electro­encephalography (EEG) roughly 72 hours post admission, typically just aer emerging from coma, to characterize whether brain activity appeared normal or not (e.g., epileptiform activity such as temporal lobe seizures, diuse slow- wave form abnormality). Postels et al. (2018) report on these study ndings, in combination with a cohort of CM survivors who underwent EEG evaluation during CM illness in Blantyre, Malawi (Postels et al., 2018). Despite the demographic and clinical hetero­geneity among CM hospital admissions in Malawi and Uganda, Postels et al. (2018) found that EEG ndings during the acute phase of illness did predict mortality and neurological morbidity for these children. Because of this, the authors concluded that an EEG study of CM children early in their acute illness could have prognostic value and be used to identify children especially at risk for adverse mortality and morbidity outcomes and in need of additional supportive treatment and supportive care following recovery.
Stimulus- dependent EEG studies (e.g., evoked potential studies for novel visual and auditory stimuli) have been used by other investigators to evaluate brain and be­havior integrity and subsequent neurocognitive function in surviving CM children in sub- Saharan Africa (Kihara, 2013; Kihara et al., 2010). Because of this, Boivin and colleagues explored whether EEG abnormality at 72 hours post admission for CM might be predictive of subsequent CCRT performance benet to address attention and learning decits at school age for Ugandan survivors. Diuse slow- wave abnor­mality, consistent with encephalopathy, was the most prevalent EEG abnormality during the acute phase following hospital admission (Postels et al., 2018). is was evident in about half of the preschool- age children whom we were eventually able to enroll in our CCRT RCT at school age (Boivin et al., 2019a). Using the Cogstate com­puterized screening test for neurocognitive performance, we observed that children
Cerebral Malaria 195
EEG diffuse slow wave abnormality at 72hrs post
admission for CM
CogState card color
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with a normal EEG during the acute phase of CM illness demonstrated signicantly greater gains on vigilance attention as measured from before to aer CCRT training compared to those with abnormal EEG (Boivin, unpublished data; Figure 13.2, top graph). e CCRT training occurred for these children from 2 to 3 years aer CM
admission for CM CCRT treatment group on cogstate card
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Figure 13.2 Box plots from before (pre- CCRT; blue box) to aer (post- CCRT; green box) depicting the performance for cerebral malaria (CM) children on the Cogstate test of attention (identification task) speed (faster is better) and Groton Maze learning task (higher score is better in terms of correct moves per second on the maze learning). The box plots are for those children with a normal EEG (le boxes) or an abnormal EEG (right boxes) within 72 hours of hospital admission during acute illness. The box plots show the first quartile (top) and third quartile (bottom) with the median bisecting the box, along with the range of outliers and individual extreme outliers in terms of Cogstate performance.
 Infectious Disease and Neurocognition
Cerebral Malaria CCRT Group
Detection speed improvement:
07
vWF (% of Normal)
Detection speed improvement:
illness and their initial EEG ndings. e same was true for the Cogstate task of Groton Maze Learning Test (Figure 13.3, bottom graph).
Veretennikova and colleagues then used EEG and neuropsychological assess­ment ndings at 6 months aer hospital discharge to explore their utility as bio­markers for neurodevelopmental outcomes in CM survivors using stochastic
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Figure 13.3 Scatterplots with the Least- Squares fit and R2 linear regression coeicient are presented depicting the relationship between von Willebrand factor (vWF) immunology biomarker levels (horizontal axis) during the acute phase for cerebral malaria when initially hospitalized. Higher levels means that vWF levels were higher compared to normative reference points for this chemokine biomarker. The vertical axis depicts Cogstate test attention speed (detection speed) performance improvement (higher is more improvement) from before to aer the 24 computerized cognitive rehabilitation training (CCRT) sessions (over 2 months). The two intervention arms depicted from Figure 13.1 are either CCRT intervention arm (top graph), or no CCRT training (passive control arm) (bottom graph) intervention arms for the cerebral malaria cohort of children. Faster speeds (greater values) on the vertical axis indicates better attention performance improvement on this Cogstate task. The higher the vWF level during acute illness for cerebral malaria, the slower the attention reaction time following the CCRT training period. This relationship is only apparent for the CCRT intervention group (upper graph), and not for the control group (no CCRT intervention, lower graph).
Cerebral Malaria 197
modeling techniques (Veretennikova et al., 2018). e objective of this study was to test statistical features from the EEG recordings shortly aer hospital admission and during coma as predictors of neurodevelopment and cognition of Ugandan children aer coma due to CM. ey modeled the increments of the frequency bands of EEG time series as student processes, using these parameters along with clinical and demographic data in a machine- learning algorithm for the prediction of children’s neurodevelopmental and cognitive scores at 6- month follow- up. e key innovation of this work is in the identication of stochastic EEG features that can serve as language- independent markers of the impact of CM on the devel­oping brain.
Subsequent work by Patel and colleagues with Malawian CM survivors com­pared an automated spectral analysis for ten CM survivors who went on to de­velop seizures and ten age- and sex- matched controls undergoing conventional visual analysis (Patel et al., 2020). The spectral analysis proved very specific and accurate in identifying CM survivors who went on to develop epilepsy, whereas the conventional visual analysis did not. Combined with our Ugandan stochastic modeling EEG findings, these results suggest that automated EEG analysis during acute illness for CM children upon hospital admission can en­hance prognostic determination of which children are in most need of reha­bilitative interventions. This is especially important in resource- constrained settings such as sub- Saharan Africa, where trained clinicians may not always be readily available to read an EEG study conventionally or accurately in a timely manner. Since that time, Leonenko and colleagues have published the outcomes of using a multimodal diffusion model (mixed generalized Gaussian distribu­tions) to improve prognostic prediction of outcomes for EEG evaluations of CM Ugandan patients in our previous studies (Leonenko et al., 2023). The EEG data were the same used in our previous CCRT studies of Ugandan CM sur­vivors (Boivin et al., 2019a).
Severe malaria biomarkers of pathogenesis and neurodevelopmental and neuropsychological deficits
John et al. (2008b) documented in previous studies with Ugandan school- age CM survivors that proinammatory cytokine levels such as systemic tumor ne­crosis factor alpha (TNF- α) were predictive of severity of persisting attention and working memory decits at follow- up. is group later conrmed these ndings in a subsequent cohort of CM survivors in terms of both persisting neurologic, neurodevelopmental, and neuropsychological decits (Shabani et al., 2017). Based on previous ndings (Shabani et al., 2015), they hypothesized that TNF- α may con­tribute to the pathogenesis of CM by promoting endothelial activation and parasite sequestration. ey compared plasma and cerebrospinal uid (CSF) TNF- α levels in children with CM to mortality, acute and chronic neurologic decits, and long- term