Comparative Analysis of First-Line FOLFOX Treatment With and Without Anti-VEGF Therapy in Metastatic Colorectal Carcinoma: A Real-World Data Study.

BACKGROUND: FOLFOX (leucovorin calcium [folinic acid], fluorouracil, and oxaliplatin) combined with or without anti-VEGF therapy represents one of the primary first-line treatment options for metastatic colorectal carcinoma (mCRC). However, there is limited comparative data on the impact of anti-VEGF therapy on treatment effectiveness, survival outcomes, and tumor location. METHODS: This retrospective, comparative study utilized data from the AIM Cancer Care Quality Program and commercially insured patients treated at medical oncology clinics in the US. We analyzed 1652 mCRC patients who received FOLFOX, of which 1015 (61.4%) were also treated with anti-VEGF therapy (VEGF cohort). RESULTS: Patients in the VEGF cohort exhibited a higher frequency of lung (33% vs 23%; P < .001) and liver metastases (74% vs 62%; P < .001), underwent fewer liver surgeries prior to treatment (1.2% vs 3.6%; P = .002), and had a higher proportion of right-sided tumors (27% vs 18%; P = .001). Adjusted analysis revealed no significant difference in overall survival (OS) between patients treated with and without anti-VEGF (median survival: 25.4 vs 26.0 months; P = .4). FOLFOX-only treated patients experienced higher rates of post-treatment hospitalizations (22% vs 15%; P < .001). Notably, left-sided tumors treated with anti-VEGF showed a trend toward decreased OS (median survival: 26.8 vs 33 months; P = .09). CONCLUSION: Our real-world data analysis suggests that the addition of anti-VEGF to FOLFOX offers limited and short-lived benefits in the context of mCRC and may provide differential survival benefit based on tumor sidedness.

Network abnormalities among non-manifesting Parkinson disease related LRRK2 mutation carriers.

Non-manifesting carriers (NMC) of the G2019S mutation in the LRRK2 gene represent an "at risk" group for future development of Parkinson's disease (PD) and have demonstrated task related fMRI changes. However, resting-state networks have received less research focus, thus this study aimed to assess the integrity of the motor, default mode (DMN), salience (SAL), and dorsal attention (DAN) networks among this unique population by using two different connectivity measures: interregional functional connectivity analysis and Dependency network analysis (DEP NA). Machine learning classification methods were used to distinguish connectivity between the two groups of participants. Forty-four NMC and 41 non-manifesting non-carriers (NMNC) participated in this study; while no behavioral differences on standard questionnaires could be detected, NMC demonstrated lower connectivity measures in the DMN, SAL, and DAN compared to NMNC but not in the motor network. Significant correlations between NMC connectivity measures in the SAL and attention were identified. Machine learning classification separated NMC from NMNC with an accuracy rate above 0.8. Reduced integrity of non-motor networks was detected among NMC of the G2019S mutation in the LRRK2 gene prior to identifiable changes in connectivity of the motor network, indicating significant non-motor cerebral changes among populations "at risk" for future development of PD.

Cerebral Imaging Markers of GBA and LRRK2 Related Parkinson's Disease and Their First-Degree Unaffected Relatives.

Cerebral atrophy has been detected in patients with Parkinson's disease (PD) both with and without dementia, however differentiation based on genetic status has thus far not yielded robust findings. We assessed cortical thickness and subcortical volumes in a cohort of PD patients and healthy controls carriers of the G2019S mutation in the LRRK2 gene and the common GBA mutations, in an attempt to determine whether genetic status influences structural indexes. Cortical thickness and subcortical volumes were computed and compared between six groups of participants; idiopathic PD, GBA-PD, LRRK2-PD, non-manifesting non-carriers (NMNC), GBA-non-manifesting carriers (NMC) and LRRK2-NMC utilizing the FreeSurfer software program. All participants were cognitively intact based on a computerized cognitive assessment battery. Fifty-seven idiopathic PD patients, 9 LRRK2-PD, 12 GBA-PD, 49 NMNC, 41 LRRK2-NMC and 14 GBA-NMC participated in this study. Lower volumes among patients with PD compared to unaffected participants were detected in bilateral hippocampus, nucleus accumbens, caudate, thalamus, putamen and amygdala and the right pallidum (p = 0.016). PD patients demonstrated lower cortical thickness indexes in a majority of regions assessed compared with non-manifesting participants. No differences in cortical thickness and subcortical volumes were detected within each of the groups of participants based on genetic status. Mutations in the GBA and LRRK2 genes are not important determinants of cortical thickness and subcortical volumes in both patients with PD and non-manifesting participants. PD is associated with a general reduction in cortical thickness and sub-cortical atrophy even in cognitively intact patients.

Disparate effects of training on brain activation in Parkinson disease.

OBJECTIVE: To compare the effects of 2 forms of exercise, i.e., a 6-week trial of treadmill training with virtual reality (TT + VR) that targets motor and cognitive aspects of safe ambulation and a 6-week trial of treadmill training alone (TT), on brain activation in patients with Parkinson disease (PD). METHODS: As part of a randomized controlled trial, patients were randomly assigned to 6 weeks of TT (n = 17, mean age 71.5 ± 1.5 years, disease duration 11.6 ± 1.6 years; 70% men) or TT + VR (n = 17, mean age 71.2 ± 1.7 years, disease duration 7.9 ± 1.4 years; 65% men). A previously validated fMRI imagery paradigm assessed changes in neural activation pretraining and post-training. Participants imagined themselves walking in 2 virtual scenes projected in the fMRI: (1) a clear path and (2) a path with virtual obstacles. Whole brain and region of interest analyses were performed. RESULTS: Brain activation patterns were similar between training arms before the interventions. After training, participants in the TT + VR arm had lower activation than the TT arm in Brodmann area 10 and the inferior frontal gyrus (cluster level familywise error-corrected [FWEcorr] p < 0.012), while the TT arm had lower activation than TT + VR in the cerebellum and middle temporal gyrus (cluster level FWEcorr p < 0.001). Changes in fall frequency and brain activation were correlated in the TT + VR arm. CONCLUSIONS: Exercise modifies brain activation patterns in patients with PD in a mode-specific manner. Motor-cognitive training decreased the reliance on frontal regions, which apparently resulted in improved function, perhaps reflecting increased brain efficiency.

Alterations in conflict monitoring are related to functional connectivity in Parkinson's disease.

Patients with Parkinson's disease (PD) have difficulties in executive functions including conflict monitoring. The neural mechanisms underlying these difficulties are not yet fully understood. In order to examine the neural mechanisms related to conflict monitoring in PD, we evaluated 35 patients with PD and 20 healthy older adults while they performed a word-color Stroop paradigm in the MRI. Specifically, we focused on changes between the groups in task-related functional connectivity using psycho-physiological interaction (PPI) analysis. The anterior cingulate cortex (ACC), which is a brain node previously associated with the Stroop paradigm, was selected as the seed region for this analysis. Patients with PD, as compared to healthy controls, had reduced task-related functional connectivity between the ACC and parietal regions including the precuneus and inferior parietal lobe. This was seen only in the incongruent Stroop condition. A higher level of connectivity between the ACC and precuneus was correlated with a lower error rate in the conflicting, incongruent Stroop condition in the healthy controls, but not in the patients with PD. Furthermore, the patients also had reduced functional connectivity between the ACC and the superior frontal gyrus which was present in both the incongruent and congruent task condition. The present findings shed light on brain mechanisms that are apparently associated with specific cognitive difficulties in patients with PD. Among patients with PD, impaired conflict monitoring processing within the ACC-based fronto-parietal network may contribute to difficulties under increased executive demands.

Subcortical Volumes Differ in Parkinson's Disease Motor Subtypes: New Insights into the Pathophysiology of Disparate Symptoms.

OBJECTIVES: Patients with Parkinson's disease (PD) can be classified, based on their motor symptoms into the Postural Instability Gait Difficulty (PIGD) subtype or the Tremor Dominant (TD) subtype. Gray matter changes between the subtypes have been reported using whole brain Voxel-Based Morphometry (VBM), however, the evaluation of subcortical gray matter volumetric differences between these subtypes using automated volumetric analysis has only been studied in relatively small sample sizes and needs further study to confirm that the negative findings were not due to the sample size. Therefore, we aimed to evaluate volumetric changes in subcortical regions and their association with PD motor subtypes. METHODS: Automated volumetric magnetic resonance imaging (MRI) analysis quantified the subcortical gray matter volumes of patients with PD in the PIGD subtype (n = 30), in the TD subtype (n = 30), and in 28 healthy controls (HCs). RESULTS: Significantly lower amygdala and globus pallidus gray matter volume was detected in the PIGD, as compared to the TD subtype, with a trend for an association between globus pallidus degeneration and higher (worse) PIGD scores. Furthermore, among all the patients with PD, higher hippocampal volumes were correlated with a higher (better) dual tasking gait speed (r = 0.30, p < 0.002) and with a higher global cognitive score (r = 0.36, p < 0.0001). Lower putamen volume was correlated with a higher (worse) freezing of gait score (r = -0.28, p < 0.004), an episodic symptom which is common among the PIGD subtype. As expected, differences detected between HCs and patients in the PD subgroups included regions within the amygdala and the dorsal striatum but not the ventral striatum, a brain region that is generally considered to be more preserved in PD. CONCLUSIONS: The disparate patterns of subcortical degeneration can explain some of the differences in symptoms between the PD subtypes such as gait disturbances and cognitive functions. These findings may, in the future, help to inform a personalized therapeutic approach.

Dependency Network Analysis (DEPNA) Reveals Context Related Influence of Brain Network Nodes.

Communication between and within brain regions is essential for information processing within functional networks. The current methods to determine the influence of one region on another are either based on temporal resolution, or require a predefined model for the connectivity direction. However these requirements are not always achieved, especially in fMRI studies, which have poor temporal resolution. We thus propose a new graph theory approach that focuses on the correlation influence between selected brain regions, entitled Dependency Network Analysis (DEPNA). Partial correlations are used to quantify the level of influence of each node during task performance. As a proof of concept, we conducted the DEPNA on simulated datasets and on two empirical motor and working memory fMRI tasks. The simulations revealed that the DEPNA correctly captures the network's hierarchy of influence. Applying DEPNA to the functional tasks reveals the dynamics between specific nodes as would be expected from prior knowledge. To conclude, we demonstrate that DEPNA can capture the most influencing nodes in the network, as they emerge during specific cognitive processes. This ability opens a new horizon for example in delineating critical nodes for specific clinical interventions.

Fall risk is associated with amplified functional connectivity of the central executive network in patients with Parkinson's disease.

Falls are debilitating problems that markedly impact the health-related quality of life of many patients with Parkinson's disease (PD). Numerous studies point to the role of executive function and attention in falls; however, the brain mechanisms underlying these relationships are less clear. Here, we aim to evaluate the brain mechanisms underlying the role of executive function in falls. Patients with PD who were fallers (n = 27) or non-fallers (n = 53) and 27 healthy older adults were examined in a cross-sectional study. Gray matter volumes of the caudate head and posterior putamen were evaluated, as these striatal regions play a role in the executive and the sensorimotor cortico-striatal networks, respectively. The functional connectivity of the central executive network and of the sensorimotor network was measured using intrinsic brain connectivity during resting state functional magnetic resonance imaging. Compared to non-fallers and healthy controls, fallers had lower gray matter volume in the caudate head, but not in the posterior putamen, and increased connectivity between posterior partial regions of the central executive network, with no difference within the sensorimotor network. Mediation analysis demonstrated that the relationships between caudate head gray matter volume and fall history and risk were mediated by increased connectivity within the central executive network, apparently via attentional changes. The above findings provide additional converging evidence for the involvement of executive-related brain changes in falls in PD and support the important role of attention and executive function in fall risk.

Gray matter atrophy and freezing of gait in Parkinson's disease: Is the evidence black-on-white?

OBJECTIVES: The pathophysiology underlying freezing of gait (FOG) in Parkinson's disease (PD) is poorly understood. We tested whether gray matter (GM) atrophy contributes to FOG in PD. METHODS: Voxel-based morphometry quantified GM atrophy in 106 patients who were classified as freezers (n = 30) or nonfreezers (n = 76). Well-matched smaller subgroups were also studied. Balance, gait, and cognitive function were assessed, and we evaluated the relationship between GM, FOG severity, and symptoms associated with FOG. RESULTS: GM was significantly reduced in the inferior parietal lobe and angular gyrus in the matched freezers (n = 22), compared to nonfreezers (n = 22; P < 0.015, cluster-level corrected). In the entire cohort, FOG severity was related to bilateral caudate volumes. CONCLUSIONS: GM atrophy in cortical (i.e., parietal lobe and angular gyrus) and subcortical areas (i.e., caudate) are related to FOG. Disparities among the existing findings suggest that inferences regarding specific brain regions should be made with caution.

Gray matter atrophy distinguishes between Parkinson disease motor subtypes.

OBJECTIVE: To assess differences in gray matter (GM) atrophy between 2 Parkinson disease (PD) subtypes: the tremor dominant (TD) subtype and the postural instability gait difficulty (PIGD) subtype. METHODS: Patients were classified as belonging to the predominately PIGD (n = 30) or predominately TD (n = 29) subtype. Voxel-based morphometry was used to compare GM in these 2 subtypes and to evaluate correlations between predefined regions of interest and the degree of symptoms. In the regions where GM atrophy was associated with symptoms, the relationship between GM volumes and functional connectivity was examined. RESULTS: GM was reduced in the predominately PIGD group, compared with the predominately TD group, in areas that involve motor, cognitive, limbic, and associative functions (p < 0.05, false discovery rate corrected). Lower GM volumes in the pre-supplementary motor area (SMA) and in the primary motor area were associated with increased severity of PIGD symptoms (r = -0.42, p < 0.001; r = -0.38, p < 0.003, respectively). Higher GM volumes within the pre-SMA were associated with stronger functional connectivity between the pre-SMA and the putamen (r = 0.415, p < 0.025) in the patients with predominately PIGD. CONCLUSIONS: In patients with PD, PIGD symptoms are apparently associated with GM atrophy in motor-related regions and decreased functional connectivity. GM degeneration and a related decrease in spontaneous coactivation between cortical and subcortical motor-planning areas may partially account for the unique clinical characteristics of a subset of patients with PD.

White matter hyperintensities in Parkinson's disease: do they explain the disparity between the postural instability gait difficulty and tremor dominant subtypes?

BACKGROUND: Brain white matter hyperintensities (WMHs) commonly observed on brain imaging of older adults are associated with balance and gait impairment and have also been linked to cognitive deficits. Parkinson's disease (PD) is traditionally sub-classified into the postural instability gait difficulty (PIGD) sub-type, and the tremor dominant (TD) sub-type. Considering the known association between WMHs and axial symptoms like gait disturbances and postural instability, one can hypothesize that WMHs might contribute to the disparate clinical sub-types of patients with PD. METHODS: 110 patients with PD underwent a clinical evaluation and a 3T MRI exam. Based on the Unified Parkinson Disease Rating Scale, the patients were classified into motor sub-types, i.e., TD or PIGD, and scores reflecting PIGD and TD symptoms were computed. We compared white matter burden using three previously validated methods: one using a semi-quantitative visual rating scale in specific brain regions and two automated methods. RESULTS: Overall, MRI data were obtained in 104 patients. The mean WMHs scores and the percent of subjects with lesions in specific brain regions were similar in the two subtypes, p = 0.678. The PIGD and the TD scores did not differ even when comparing patients with a relatively high burden of WMHs to patients with a relatively low burden. Across most of the brain regions, mild to moderate correlations between WMHs and age were found (r = 0.23 to 0.41; p<0.021). Conversely, no significant correlations were found between WMHs and the PIGD score or disease duration. In addition, depressive symptoms and cerebro-vascular risk factors were similar among the two subtypes. CONCLUSIONS: In contrast to what has been reported previously among older adults, the present study could not demonstrate any association between WMHs and the PIGD or TD motor sub-types in patients with PD.

Neural correlates of executive functions in healthy G2019S LRRK2 mutation carriers.

INTRODUCTION: The G2019S mutation in the leucine rich repeat kinase 2 (LRRK2) gene is prevalent among Ashkenazi Jewish patients with Parkinson's disease (PD). Cognitive deficits are common in early stage PD. We aimed to characterize the effect of the G2019S mutation on neural mechanisms of executive function processing by testing whether healthy mutation carriers who are an "at risk" population for the future development of PD differed from non-carriers on an functional magnetic resonance imaging (fMRI) Stroop interference task. METHODS: Cognitive performance and task related cerebral activity were measured in 40 healthy first-degree relatives of Ashkenazi PD patients (19 carriers and 21 non-carriers of the G2019S mutation). Both regional differences in neural activity and seed region driven functional connectivity methods were performed using fMRI. RESULTS: Compared to non-carriers, mutation carriers had greater baseline deactivation and increased task related activity in the right inferior parietal lobe, right precuneus and right fusiform gyrus. Whole brain functional connectivity analysis revealed stronger coupling between these regions and both basal ganglia structures as well as cortical regions in the carrier group. Non-manifesting G2019S mutation carriers and non-carriers performed similarly on the task and on all other assessed measures, so behavioral differences in task performance and baseline cognitive functions cannot explain the observed imaging differences. CONCLUSIONS: G2019S carriers, at risk for developing PD, had similar behavioral performance as non-carriers during the Stroop task, but increased activity in brain regions that have previously been found to be part of the ventral attention system together with stronger coupling between task related areas and structures that make up the ventral and dorsal attention system as well as the basal ganglia-thalamocortical network. This suggests a neural compensatory mechanism that enables intact cognitive performance in asymptomatic mutation carriers.

Enhanced functional synchronization of medial and lateral PFC underlies internally-guided action planning.

Actions are often internally guided, reflecting our covert will and intentions. The dorsomedial prefrontal cortex, including the pre-Supplementary Motor Area (pre-SMA), has been implicated in the internally generated aspects of action planning, such as choice and intention. Yet, the mechanism by which this area interacts with other cognitive brain regions such as the dorsolateral prefrontal cortex, a central node in decision-making, is still unclear. To shed light on this mechanism, brain activity was measured via fMRI and intracranial EEG in two studies during the performance of visually cued repeated finger tapping in which the choice of finger was guided by either a presented number (external) or self-choice (internal). A functional-MRI (fMRI) study in 15 healthy participants demonstrated that the pre-SMA, compared to the SMA proper, was more active and also more functionally correlated with the dorsolateral prefrontal cortex during internally compared to externally guided action planning (p < 0.05, random effect). In a similar manner, an intracranial-EEG study in five epilepsy patients showed greater inter-regional gamma-related connectivity between electrodes situated in medial and lateral aspects of the prefrontal cortex for internally compared to externally guided actions. Although this finding was observed for groups of electrodes situated both in the pre-SMA and SMA-proper, increased intra-cluster gamma-related connectivity was only observed for the pre-SMA (sign-test, p < 0.0001). Overall our findings provide multi-scale indications for the involvement of the dorsomedial prefrontal cortex, and especially the pre-SMA, in generating internally guided motor planning. Our intracranial-EEG results further point to enhanced functional connectivity between decision-making- and motor planning aspects of the PFC, as a possible neural mechanism for internally generated action planning.